CN111901135A - Data analysis method and device - Google Patents

Abstract

The embodiment of the application provides a data analysis method and device. The method comprises the following steps: the data analysis network element can acquire one or more network element types corresponding to a specific data analysis type based on the corresponding relation between the stored data analysis type and the network element type, and acquire data from network element examples corresponding to the network element types for training, so that a data analysis result is obtained, the network element example for providing a data source to be analyzed is determined, and the efficiency and the accuracy of data analysis are improved.

Description

A data analysis method and device

technical field

The present application relates to the field of mobile communication technologies, and in particular, to a data analysis method and device.

Background technique

In order to meet the challenges of wireless broadband technology and maintain the leading edge of the 3rd Generation Partnership Project (3GPP) network, the 3GPP standard group has formulated the Next Generation System (Next Generation System), also known as the fifth Generation (5-Generation, 5G) network architecture. In the 5G architecture, the Network Data Analysis Function (NWDAF) network element is introduced. The NWDAF network element provides the analysis function of network data. NWDAF network elements can provide different types of data analysis results, which are identified by data analysis types (such as analytics ID). However, the prior art does not provide solutions for NWDAF network elements to obtain different types of data analysis results.

SUMMARY OF THE INVENTION

The present application provides a data analysis method and device, a system, a data analysis network element and a storage medium, so as to provide a solution for the data analysis network element to obtain different types of data analysis results.

In a first aspect, the present application provides a data analysis method, the method comprising: a data analysis network element determining a first set of network element types corresponding to a data analysis type to be analyzed, where the first set includes one or more network element types; The data analysis network element obtains the first network element information corresponding to the first set from the network warehouse function network element; the data analysis network element obtains the first data from the network element corresponding to the first network element information; the data analysis network element, according to the first data, Obtain the first data analysis result. Based on this solution, the data analysis network element can obtain one or more network element types corresponding to a specific data analysis type based on the corresponding relationship between the data analysis type and the network element type, and obtain one or more network element types corresponding to the specific data analysis type, and obtain one or more network element types corresponding to the network element types from the network element instances corresponding to these network element types. The data is acquired for training, thereby obtaining the data analysis result, realizing the determination of the network element instance used for providing the data source to be analyzed, and helping to improve the efficiency and accuracy of the data analysis.

In a possible implementation method, the data analysis network element determines the first set of network element types corresponding to the data analysis type to be analyzed, including: the data analysis network element determines the data analysis type according to the corresponding relationship between the data analysis type and the first set. The first set corresponding to the analysis type. Based on this solution, the correspondence between the data analysis type and the first set is pre-stored, so that the first set corresponding to the data analysis type can be determined.

In a possible implementation method, the data analysis network element determines a second set of network element types corresponding to the data analysis type according to the first data analysis result, the second set includes one or more network element types, and the second set is related to The first sets are different; the data analysis network element updates the network element type corresponding to the data analysis type from the first set to the second set. Based on this solution, the correspondence between the data analysis type and the network element type can be dynamically updated, so that the network element type corresponding to the data analysis type can be more accurately determined.

In a possible implementation method, the data analysis network element determines a second set of network element types corresponding to the data analysis type according to the first data analysis result, which specifically includes: the data analysis network element determines, according to the first data analysis result, the The second set corresponding to the data analysis type and the screening information; the data analysis network element updates the network element type corresponding to the data analysis type from the first set to the second set, which specifically includes: the data analysis network element matches the data analysis type and the data analysis type. The network element type corresponding to the screening information is updated from the first set to the second set.

In a possible implementation method, the data analysis network element determines a third set of data types corresponding to the data analysis type, and the third set includes one or more data types; The element acquiring the first data includes: the data analysis network element acquires the first data corresponding to the third set from the network element corresponding to the first network element information. Based on this solution, the data analysis network element can obtain one or more data types corresponding to a specific data analysis type based on the corresponding relationship between the data analysis type and the data type, and obtain the data corresponding to these data types from the network element instance. Based on training, data analysis results can be obtained, and the data to be analyzed can be determined, which helps to improve the efficiency and accuracy of data analysis.

In a possible implementation method, the data analysis network element determines the first set of network element types corresponding to the data analysis type to be analyzed, which specifically includes: the data analysis network element determines the first set according to the third set. That is, the data analysis network element first determines the third set corresponding to the data analysis type, and then determines the above-mentioned first set according to the third set, that is, the data analysis network element can store the corresponding relationship between the data type and The type of data in the collection determines the first collection described above.

In a possible implementation method, the data analysis network element determines a fourth set of data types corresponding to the data analysis type according to the first data analysis result, the fourth set includes one or more data types, and the fourth set is the same as the third set. The sets are different; the data analysis network element updates the data type corresponding to the data analysis type from the third set to the fourth set. Based on this solution, the corresponding relationship between the data analysis type and the data type can be dynamically updated, so that the data type corresponding to the data analysis type can be more accurately determined.

In a possible implementation method, the data analysis network element determines a first network element type, and the first network element type is included in the first set but not included in the second set; The network element sends an unsubscribe request message, where the unsubscribe request message is used to request to cancel the data subscription to the network element corresponding to the first network element type. Based on this solution, for network element types unrelated to the data analysis type, subscriptions can be canceled, thereby saving resources.

In a possible implementation method, the data analysis network element determines the second network element type, and the second network element type is included in the second set but not included in the first set; the data analysis network element obtains the first network element from the network warehouse function network element. The second network element information corresponding to the two network element types.

In a possible implementation method, the data analysis network element obtains the second data from the network element corresponding to the second network element information; the data analysis network element analyzes the first data and the second data to obtain the second data analysis result. Based on this solution, data can be added for data analysis, thereby improving the accuracy of data analysis results.

In a possible implementation method, the data analysis network element receives a request message from the first network element, and the request message includes the data analysis type and screening information; the data analysis network element determines the network element type corresponding to the data analysis type to be analyzed. The first set includes: the data analysis network element determines the first set corresponding to the data analysis type and screening information. Based on this solution, the data for providing data analysis can be determined based on the screening information, so as to facilitate obtaining the required data analysis results.

In a possible implementation method, the data analysis network element receives a request message from the first network element, the request message includes the data analysis type and screening information, and the request message is used to request to obtain the data analysis corresponding to the data analysis type and screening information The result; the data analysis network element obtains the first network element information corresponding to the first set from the network warehouse function network element, including: the data analysis network element sends a network element discovery request message to the network warehouse function network element, and the network element discovery request message includes the first network element discovery request message. a collection and screening information; the data analysis network element receives a network element discovery response message from the network warehouse function network element, and the network element discovery response message includes first network element information corresponding to the first collection and screening information.

In a possible implementation method, the data analysis network element sends the first data analysis result to the first network element.

In a possible implementation method, the data analysis network element determines a second data type, and the second data type is included in the fourth set but not included in the third set; the data analysis network element sends the data to the network corresponding to the second data type. The element sends a subscription request message, where the subscription request message is used to request data subscription corresponding to the second data type.

In a possible implementation method, the data analysis network element determines a second set of network element types corresponding to the data analysis type according to the first data analysis result, which specifically includes: the data analysis network element determines the above-mentioned first set according to the above-mentioned fourth set. Two sets.

In a possible implementation method, the data analysis network element obtains the third network element information corresponding to the second set from the network warehouse function network element; the data analysis network element obtains the third data from the network element corresponding to the third network element information; The data analysis network element analyzes the third data to obtain an analysis result of the third data.

In a possible implementation method, the data analysis network element determines a fifth set of network element types corresponding to the data analysis type according to the third data analysis result, the fifth set includes one or more network element types, and the fifth set is the same as the The second sets are different; the data analysis network element updates the network element type corresponding to the data analysis type from the second set to the fifth set.

In a possible implementation method, the data analysis network element obtains the first network element information corresponding to the first set from the network warehouse function network element, including: the data analysis network element sends a network element discovery request message to the network warehouse function network element, The network element discovery request message includes the first set; the data analysis network element receives the network element discovery response message from the network warehouse function network element, and the network element discovery response message includes the first network element information corresponding to the first set.

In a possible implementation method, the data analysis network element determines a first data type, and the first data type is included in the third set but not included in the fourth set; the data analysis network element sends the data to the network element corresponding to the first data type The unsubscribe request message is used to request to unsubscribe the data corresponding to the first data type.

In a second aspect, the present application provides a data analysis device, which may be a data analysis network element, or a chip used for the data analysis network element. The device has the function of implementing the various embodiments of the first aspect described above. This function can be implemented by hardware or by executing corresponding software by hardware. The hardware or software includes one or more modules corresponding to the above functions.

In a third aspect, the present application provides a data analysis device, comprising: a processor and a memory; the memory is used to store computer-executed instructions, and when the device is running, the processor executes the computer-executed instructions stored in the memory to make The apparatus performs the method as described in any of the above-mentioned first aspects.

In a fourth aspect, the present application provides a data analysis device, comprising: including units or means for performing the steps of the above-mentioned first aspect.

In a fifth aspect, the present application provides a data analysis device, including a processor and an interface circuit, where the processor is configured to communicate with other devices through the interface circuit, and execute any of the methods described in the first aspect above. The processor includes one or more.

In a sixth aspect, the present application provides a data analysis device, including a processor, which is connected to a memory and used to call a program stored in the memory to execute any of the methods described in the first aspect above. The memory may be located within the device or external to the device. And the processor includes one or more.

In a seventh aspect, the present application also provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the computer-readable storage medium runs on a computer, the processor causes the processor to execute the first aspect and any of its embodiments. the method described.

In an eighth aspect, the present application further provides a computer program product comprising instructions, which, when executed on a computer, cause the computer to perform any of the methods described in the first aspect above.

In a ninth aspect, the present application further provides a chip system, including: a processor configured to execute any of the methods described in the first aspect above.

In a tenth aspect, the present application further provides a data analysis system, including a network warehouse function network element and a data analysis apparatus for executing any embodiment of the first aspect.

Description of drawings

1A is a schematic diagram of a 5G network architecture based on a service-oriented architecture;

1B is a schematic diagram of a 5G network architecture based on a point-to-point interface;

1C is a schematic diagram of a network architecture to which this application applies;

2 is a schematic diagram of a data analysis method provided by the application;

3 is another schematic diagram of a data analysis method provided by the application;

4 is another schematic diagram of a data analysis method provided by the application;

5 is another schematic diagram of a data analysis method provided by the application;

6 is a schematic diagram of a data analysis device provided by the application;

7 is a schematic diagram of another data analysis device provided by the application;

FIG. 8 is a schematic diagram of a data analysis system provided by the present application.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings. The specific operation methods in the method embodiments may also be applied to the apparatus embodiments or the system embodiments. Wherein, in the description of the present application, unless otherwise specified, the meaning of "plurality" is two or more.

As shown in Figure 1A, it is a schematic diagram of a 5G network architecture based on a service-oriented architecture. The 5G network architecture shown in FIG. 1A may include three parts, namely, a terminal device part, a data network (DN), and an operator network part. The following briefly describes the functions of some of the network elements.

The operator network may include a network exposure function (NEF) network element, a policy control function (PCF) network element, a unified data management (unified data management, UDM) network element, a network warehouse function (network element) function repository function (NRF) network element, application function (AF) network element, NWDAF network element, authentication server function (AUSF) network element, access and mobility management function (access and mobility management function, AMF) network element, session management function (session management function, SMF) network element, (radio) access network ((radio) access network, (R)AN) and user plane function (user plane function, UPF) network element and so on. In the above-mentioned operator network, the part other than the (radio) access network part may be referred to as the core network part. For convenience of description, the following description is given by taking (R)AN called RAN as an example.

Terminal equipment, also known as user equipment (UE), is a device with wireless transceiver functions that can be deployed on land, including indoor or outdoor, handheld or vehicle-mounted; it can also be deployed on water (such as ships). etc.); can also be deployed in the air (eg on airplanes, balloons, satellites, etc.). The terminal device may be a mobile phone (mobilephone), a tablet computer (pad), a computer with a wireless transceiver function, a virtual reality (virtual reality, VR) terminal, an augmented reality (augmented reality, AR) terminal, an industrial control (industrial control) wireless terminals in self-driving, wireless terminals in remote medical, wireless terminals in smart grid, wireless terminals in transportation safety, Wireless terminals in smart cities, wireless terminals in smart homes, etc.

The above-mentioned terminal device can establish a connection with the operator network through an interface (eg, N1, etc.) provided by the operator network, and use the data and/or voice services provided by the operator network. The terminal device can also access the DN through the operator's network, and use the operator's service deployed on the DN and/or the service provided by a third party. The above-mentioned third party may be a service provider other than the operator's network and the terminal device, and may provide other services such as data and/or voice for the terminal device. Wherein, the specific expression form of the above third party can be specifically determined according to the actual application scenario, and is not limited here.

RAN is a sub-network of an operator's network, and is an implementation system between service nodes and terminal equipment in the operator's network. To access the operator's network, the terminal device first passes through the RAN, and then can be connected to the service node of the operator's network through the RAN. The RAN device in this application is a device that provides wireless communication functions for terminal devices. Access network devices include but are not limited to: next-generation base stations (g nodeB, gNB) in 5G, evolved node B (evolved node B) , eNB), radio network controller (radio network controller, RNC), node B (node B, NB), base station controller (basestation controller, BSC), base transceiver station (base transceiver station, BTS), home base station (such as , home evolved node B, or home node B, HNB), baseband unit (baseBand unit, BBU), transmission point (transmitting and receiving point, TRP), transmitting point (transmitting point, TP), mobile switching center, etc.

The AMF network element is the control plane network element provided by the operator's network. It is responsible for the access control and mobility management of terminal equipment accessing the operator's network, such as mobility status management, assignment of temporary user identities, authentication and authorization of users, etc. Function.

The SMF network element is a control plane network element provided by an operator network, and is responsible for managing a protocol data unit (protocol data unit, PDU) session of a terminal device. A PDU session is a channel for transmitting PDUs. Terminal devices need to communicate PDUs with the DN through the PDU session. The PDU session is established, maintained and deleted by the SMF network element. SMF network elements include session management (such as session establishment, modification and release, including tunnel maintenance between UPF and AN), selection and control of UPF network elements, Service and Session Continuity (SSC) mode selection, Session related functions such as roaming.

The UPF network element is the gateway provided by the operator, and is the gateway for the communication between the operator's network and the DN. UPF network elements include user plane-related functions such as data packet routing and transmission, packet detection, service usage reporting, Quality of Service (QoS) processing, legal interception, uplink packet detection, and downlink data packet storage.

DN, also known as packet data network (PDN), is a network outside the operator's network. The operator's network can access multiple DNs. Services such as data and/or voice. For example, DN is the private network of a smart factory. The sensors installed in the workshop of the smart factory can be terminal devices, and the control server of the sensor is deployed in the DN, and the control server can provide services for the sensor. The sensor can communicate with the control server, obtain the instruction of the control server, and transmit the collected sensor data to the control server according to the instruction. For another example, the DN is an internal office network of a company. The mobile phones or computers of employees of the company can be terminal devices, and the mobile phones or computers of employees can access information and data resources on the internal office network of the company.

The UDM network element is the control plane network element provided by the operator, and is responsible for storing the subscriber permanent identifier (SUPI), credential (credential), security context (security context), subscription of subscribers in the operator's network data and other information. The information stored by the UDM network element can be used for authentication and authorization of terminal equipment to access the operator's network. The above-mentioned subscribers of the operator's network may specifically be users who use services provided by the operator's network, such as users using China Telecom's mobile phone core cards, or users using China Mobile's mobile phone core cards. The permanent subscription identifier (Subscription Permanent Identifier, SUPI) of the above-mentioned subscriber may be the number or the like of the mobile phone core card. The above-mentioned credential and security context of the signing user may be the encryption key of the mobile phone core card or a small file stored with information related to the encryption of the mobile phone core card, etc., for authentication and/or authorization. The above-mentioned security context may be data (cookie) or token (token) stored on the user's local terminal (eg, mobile phone). The contract data of the above-mentioned contract user may be the supporting services of the mobile phone chip card, such as the data package of the mobile phone chip card or the use of the network. It should be noted that permanent identifiers, credentials, security contexts, authentication data (cookies), and tokens are equivalent to information related to authentication and authorization, and are not distinguished or limited in the application documents of the present invention for the convenience of description. Unless otherwise specified, the embodiments of the present application will be described by taking a security context as an example, but the embodiments of the present application are also applicable to authentication and/or authorization information in other representations.

The AUSF network element is the control plane network element provided by the operator, and can usually be used for the first-level authentication, that is, the authentication between the terminal device (subscribed user) and the operator's network. After the AUSF network element receives the authentication request initiated by the subscriber, it can authenticate and/or authorize the subscriber through the authentication information and/or authorization information stored in the UDM network element, or generate the authentication and/or authorization of the subscriber through the UDM network element. or authorization information. The AUSF network element may feed back authentication information and/or authorization information to the subscriber.

The NEF network element is the control plane network element provided by the operator. The NEF network element opens the external interface of the operator's network to the third party in a secure manner. When the SMF network element needs to communicate with a third-party network element, the NEF network element can be used as a relay for the communication between the SMF network element and the third-party network element. When the NEF network element is used as a relay, it can be used as the translation of the identification information of the subscriber and the translation of the identification information of the third-party network element. For example, when the NEF sends the SUPI of the subscriber from the operator network to the third party, it can translate the SUPI into its corresponding external identity (identity, ID). On the contrary, when the NEF network element sends the external ID (the third party's network element ID) to the operator network, it can be translated into SUPI.

The Application Function (AF) network element mainly provides application layer services, and also supports interaction with the 5G core network to provide services, such as influencing data routing decisions, policy control functions, or providing some third-party services to the network side.

The PCF network element is a control plane function provided by the operator and is used to provide policies to the network network element. As an implementation manner, the policies may include access control policies, mobility management policies, charging-related policies, QoS-related policies, authorization-related policies, and the like.

The NRF network element can be used to provide a network element discovery function, and based on the request of other network elements, provide network element information corresponding to the network element type, such as address information and/or identification information. NRF also provides network element management services, such as network element registration, update, de-registration, and network element status subscription and push.

In FIG. 1A , Nnef, Nausf, Npcf, Nudm, Naf, Namf, Nsmf, N1, N2, N3, N4, and N6 are interface serial numbers. For the meanings of these interface serial numbers, refer to the meanings defined in the 3GPP standard protocol, which is not limited here.

As shown in FIG. 1B , it is a schematic diagram of a 5G network architecture based on a point-to-point interface. For the introduction of the functions of the network elements, reference may be made to the introduction of the functions of the corresponding network elements in FIG. 1A , and details are not repeated here. The main difference between FIG. 1B and FIG. 1A is that the interfaces between various network elements in FIG. 1B are point-to-point interfaces, not service-oriented interfaces.

In the architecture shown in Figure 1B, the interface between the UE and the AMF network element is called the N1 interface, the interface between the AMF network element and the RAN device is called the N2 interface, and the interface between the RAN device and the UPF network element It can be called N3 interface, the interface between SMF network element and UPF network element is called N4 interface, the interface between PCF network element and AF network element is called N5 interface, and the interface between UPF network element and DN is called N6 interface Interface, the interface between the SMF network element and the PCF network element is called the N7 interface, the interface between the AMF network element and the UDM network element is called the N8 interface, the interface between different UPF network elements is called the N9 interface, and the UDM network element is called the N9 interface. The interface with the SMF network element is called the N10 interface, the interface between the AMF network element and the SMF network element is called the N11 interface, the interface between the AUSF network element and the AMF network element is called the N12 interface, and the interface between the AUSF network element and the UDM network element is called the N12 interface. The interface between network elements is called N13 interface, the interface between different AMF network elements is called N14 interface, the interface between AMF network element and PCF network element is called N15 interface, and the interface between NWDAF network element and PCF network element is called N15 interface. The interface is called the N23 interface.

As shown in FIG. 1C , it is a possible network architecture applicable to this application. The network architecture includes a data analysis network element and a network function (Network Function, NF) network element. In a possible implementation, the network architecture may further include a database.

The data analysis network element can be, for example, an NWDAF network element, and the data analysis network element can be obtained from other network elements (such as one of the SMF network elements, PCF network elements, RAN, UPF network elements, and SMF network elements shown in FIG. 1A or FIG. 1B ). or multiple) to obtain the data to be analyzed, and then establish a data analysis model to obtain data analysis results. The data analysis performed by the data analysis network element may be based on a certain consumer network element (for example, the consumer network element may be a network function network element (network function, NF), a network management network element, an application server, a terminal, etc.) It is triggered by the data analysis request or subscription message, or is triggered by the data analysis network element according to other conditions, such as periodic triggering, initial event triggering, etc. After obtaining the data analysis result, the data analysis network element may send the data analysis result to the consumer network element requesting to obtain the data analysis result, or store the data analysis result in the database, or in the data analysis network element.

In this application, a data analysis network element refers to a network element with functions of data collection and analysis and acquisition of data analysis results, which may be an NWDAF network element, a management data analysis service (MDAS) network element, or other network elements with similar functional network element. For convenience of description, the following description in this application takes the data analysis network element as an NWDAF network element as an example, and the NWDAF network element is abbreviated as NWDAF.

In addition, the network warehouse function network element in this application refers to a network element with a network element discovery function, which may be an NRF network element or other network elements with similar functions. For the convenience of description, the following description in this application takes the network warehouse function network element as an NRF network element as an example, and the NRF network element is abbreviated as NRF.

It should be noted that the present application is not limited to be applied to the 5G system shown in FIG. 1A or FIG. 1B , but can also be applied to future communication systems, such as a sixth generation (6th generation, 6G) system.

In view of the problems existing in the background technology, the solution provided in this application is: NWDAF determines the network element type according to the data analysis type, then determines the network element information corresponding to the network element type, and obtains the network element from the network element corresponding to the network element information. The data is analyzed to obtain the analysis results. Or, NWDAF determines the data type according to the data analysis type, determines the network element type according to the data type, then determines the network element information corresponding to the network element type, and obtains data from the network element corresponding to the network element information for analysis, so as to obtain Analyze the results. Alternatively, NWDAF determines the data type according to the data analysis type, then determines the network element information corresponding to the network element type, and obtains the data corresponding to the data type from the network element corresponding to the network element information for analysis, thereby obtaining the analysis result. It should be noted that the data analysis type in this application can be specifically identified by analytics ID.

A specific description will be given below.

As shown in Figure 2, a kind of data analysis method that this application provides, this method comprises the following steps:

Step 201: NWDAF determines a first set of network element types corresponding to the data analysis type to be analyzed, where the first set includes one or more network element types.

In a possible implementation manner, the corresponding relationship between the data analysis type and the network element type is stored in the NWDAF. As a specific implementation method, what is stored in the NWDAF is the correspondence between the data analysis type (such as analytics ID) and the network element type (NFtype).

Therefore, the specific implementation of this step may be as follows: the data analysis network element determines the first set corresponding to the data analysis type according to the stored correspondence between the data analysis type and the first set.

In a possible implementation manner, in the initial state, the corresponding relationship of Relationships can be dynamically updated.

In the embodiments of this application, the data analysis type refers to the type of data analysis that needs to be performed, for example, including observed service experience (Observed service experience), network performance (Network performance), user equipment (User Equipment, UE) mobility ( UE mobility), etc.

The network element type (network function type, NF type) here may be, for example, SMF type, PCF type, RAN type, UPF type, AF type, UE type, OAM type, etc. One network element type may correspond to one or more network elements (or called a network function instance (NF instance)). For example, the SMF network element type corresponds to one or more SMFs, and the PCF network element type corresponds to one or more PCFs.

As an example, it is assumed that the corresponding relationship between the data analysis type currently stored in the NWDAF and the network element type is as shown in Table 1.

Table 1

The table 1 may be the corresponding relationship of the initial configuration, or may be the corresponding relationship that has been dynamically updated, which is not limited in this application.

Taking Table 1 as an example, the specific implementation manner of step 201 is as follows: NWDAF determines the first set of corresponding network element types according to the data analysis type. For example, the data analysis type is observation service experience, and the determined first set is {RAN type, SMF type, AMF type, UPF type, PCF type, AF type}. For another example, if the data analysis type is network performance, the determined first set is {RAN type, AMF type, SMF type, UPF type}.

The method for the NWDAF to obtain the data analysis type may be, for example, based on a data analysis request message or a subscription request message of the first network element. The data analysis request message or the subscription request message carries the data analysis type, so that the NWDAF determines the data analysis type. For another example, the NWDAF may periodically perform data analysis on the configured data analysis type, so that the data analysis type can be obtained locally. This application does not limit the manner of triggering NWDAF to perform data analysis.

Step 202, the NWDAF acquires the first network element information corresponding to the first set from the NRF.

For example, if the first set is {RAN type, AMF type, SMF type, UPF type}, the first network element information obtained by the NWDAF from the NRF is: RAN information, AMF information, SMF information and UPF information. The information here may be, for example, one or more of address information, identification information, or fully qualified domain name (FQDN) of the network element.

As an implementation manner, the network element discovery function and service (Nnrf_NFdiscovery_request/response service) provided by the existing NRF can be used, and the NWDAF addresses the network elements (or network element instances) corresponding to one or more network element types to the NRF.

As a specific implementation method, the step 202 may specifically include the following steps 202a and 202b:

Step 202a, the NWDAF sends a network element discovery request message to the NRF. Correspondingly, the NRF may receive the network element discovery request message.

The network element discovery request message includes a first set. Specifically, the network element discovery request message includes all network element types in the first set.

Step 202b, the NWDAF receives a network element discovery response message from the network warehouse function network element, where the network element discovery response message includes first network element information corresponding to the first set.

Step 203, the NWDAF acquires the first data from the network element corresponding to the first network element information.

The first data here may also be referred to as training data, which is used as input data for data learning and model training.

As an implementation method, the first data acquired by the NWDAF from the network element corresponding to the first network element information may be all data in the network element corresponding to the first network element information corresponding to the first set.

As another implementation method, the first data acquired by the NWDAF from the network element corresponding to the first network element information may be specific data in the network element corresponding to the first network element information. For example, the NWDAF also provides the data type when acquiring data from the network element corresponding to the first network element information, so the first data acquired by the NWDAF from the network element corresponding to the first network element information is data corresponding to the data type. Therefore, based on this implementation, the NWDAF determines the first set corresponding to the data analysis type to be analyzed, which specifically includes: the NWDAF determines the data type corresponding to the data analysis type to be analyzed, and then the NWDAF determines the first set corresponding to the data type.

It should be noted that, in some scenarios (for example, when data needs to be obtained from the NF), the data type may be identified by an event ID (event ID). In other scenarios (for example, when obtaining data from OAM), the data type can be identified by the data type identification information provided by OAM.

The following describes with examples. On the basis of Table 1, taking the data analysis type as Network performance as an example, Table 2 is a specific example of the correspondence between data analysis types, network element types, and data types.

Table 2

Referring to Table 2, in order to analyze the network performance, the data types of data obtained from RAN include uplink/downlink air interface delay, air interface packet loss rate, etc. The data types corresponding to data obtained from SMF include SMF load, etc., obtained from UPF The data type corresponding to the data obtained from the AMF includes the UPF data throughput rate, bandwidth, etc., and the data type corresponding to the data obtained from the AMF includes the number of online users, AMF load, etc.

Of course, when the data analysis type in Table 1 is Observed service experience or UE mobility, it is also possible to define data analysis types, network element types and data types similar to those shown in Table 2. Correspondence.

As an implementation method, the NWDAF can obtain relevant data (ie, the first data) from the network element instance corresponding to the network element type by using the event exposure service (Nnf_Eventexposure_subscribe service) provided by each network function (NF) network element type. Specifically, the NWDAF may carry an event ID (event ID) in the specific event subscription request message to indicate the specific data type to be acquired. Before obtaining training data from the network element instance, NWDAF also needs to determine the data type corresponding to each network element type according to the specific analytics ID.

For example, taking Table 2 as an example, in order to obtain the data analysis results of network performance, the data types that NWDAF needs to obtain from AMF network elements include the number of online users, AMF load, etc., then NWDAF can call the Namf_eventexposure_subscribe service, where event ID1=UE number, event ID 2 = AMF load. Similar processing is also performed for other data types, which will not be repeated.

As another implementation method, the method for NWDAF to determine the first set may also be: NWDAF determines a third set of data types corresponding to the data analysis type, where the third set includes one or more data types; NWDAF determines according to the third set The first set above. That is, NWDAF first determines the data type, and then determines the network element type. Taking Table 2 as an example, NWDAF first determines that the third set of data types corresponding to network performance includes at least uplink/downlink air interface delay, air interface packet loss rate, SMF load, UPF data throughput rate, bandwidth, number of online users, and AMF load. , and then determine that the first set is {RAN type, SMF type, AMF type, UPF type} according to the third set.

Similarly, the NWDAF can also obtain data of the required data type by using the specific services provided by the network management network element, the application server, and the terminal.

Step 204, the NWDAF analyzes the first data to determine the first data analysis result.

After NWDAF acquires the first data corresponding to the data analysis type from the network element corresponding to the first network element information, it performs big data analysis or machine learning based on the acquired first data to obtain an analysis model corresponding to the data analysis type, Further, a data analysis result is obtained according to the analysis model. Here, the result obtained by analyzing the first data becomes the first data analysis result. This process belongs to the prior art and will not be described in detail.

Based on the above steps 201 to 204, NWDAF can obtain one or more network element types (ie, the first set) corresponding to a specific data analysis type based on the stored correspondence between data analysis types and network element types, and obtain one or more network element types (ie, the first set) corresponding to a specific data analysis type, and obtain from these data analysis types and network element types. The data obtained from the network element corresponding to the network element type is used for training, thereby obtaining the data analysis result, realizing the determination of the network element instance used to provide the data source to be analyzed, and helping to improve the efficiency and accuracy of the data analysis.

As an implementation method, after obtaining the first data analysis result, the NWDAF may further update the stored correspondence between the data analysis type and the network element type according to the first data analysis result. That is, after the above step 204, the following steps 205-206 may also be included:

Step 205, the NWDAF determines a second set of network element types corresponding to the data analysis type according to the first data analysis result.

The second set here includes one or more network element types, and the second set is different from the first set.

Step 206, the NWDAF updates the network element type corresponding to the saved data analysis type from the first set to the second set.

For the above steps 205 to 206, in the first case, NWDAF can determine, based on the first data analysis result, which data in the first data the data analysis result of the specific data analysis type is related to, and determine whether the data is specifically Which network element type or types of network elements are from, and then update the network element type corresponding to the saved data analysis type, so that a more accurate corresponding relationship can be dynamically obtained, which is convenient for subsequent acquisition of the data to be analyzed. use.

Specifically, NWDAF determines a first data type corresponding to the data analysis type according to the first data analysis result, and then determines a second set according to the first data type. The network element types in the second set can provide the first data type. data. Alternatively, it can be understood that NWDAF determines a fourth set of data types according to the first data analysis result, where the fourth set includes one or more data types, and the fourth set is a set including the above-mentioned first data type, or It is said that the fourth set includes the data type corresponding to the data analysis type, or the fourth set includes the data type related to the first data analysis result. Thus, the NWDAF can determine the second set from the fourth set.

For example, by analyzing the model, NWDAF determines that network performance is related to uplink/downlink air interface delay, air interface packet loss rate, UPF data throughput rate, bandwidth, number of online users, and AMF load, but has nothing to do with SMF load. Specifically, NWDAF determines network performance. The performance is related to the uplink/downlink air interface delay and air interface packet loss rate, and the network element type corresponding to the uplink/downlink air interface delay and air interface packet loss rate is the RAN type. Determine the network performance is also related to the UPF data throughput rate and bandwidth. Moreover, the network element type corresponding to the UPF data throughput rate and the bandwidth is the UPF type. It is determined that the network performance is also related to the number of online users and the AMF load, and the network element type corresponding to the number of online users and the AMF load is the AMF type. Therefore, NWDAF determines that the first set corresponding to the network performance is {RAN type, AMF type, UPF type}. That is, the first set corresponding to network performance is {RAN type, AMF type, UPF type, SMF type}, and the second set corresponding to network performance is {RAN type, AMF type, UPF type}. Further, NWDAF may update {RAN type, AMF type, UPF type, SMF type} corresponding to the saved network performance to {RAN type, AMF type, UPF type}. Or it can also be understood that the NWDAF determines that the fourth set is {uplink/downlink air interface delay, air interface packet loss rate, UPF data throughput rate, bandwidth, number of online users, and AMF load} according to the first data analysis result. The fourth set determines the second set, that is, the second set is {RAN type, AMF type, UPF type}.

It should be noted that, in this application, the NWDAF may also update the network element type corresponding to the stored data type from the third set to the fourth set.

Here, the network element type included in the first set but not included in the second set may be referred to as the first network element type, and based on this situation, after step 206, the following steps A1 to A2 may also be performed :

Step A1, the NWDAF determines the first network element type.

Step A2, the NWDAF sends an unsubscribe request message to the network element corresponding to the first network element type, where the unsubscribe request message is used to request to cancel the data subscription to the network element corresponding to the first network element type.

Based on steps A1 and A2, the first network element type unrelated to the data analysis type (analytics ID) is cancelled, and there is no need to obtain the data corresponding to the data analysis type (analytics ID) from the network element corresponding to the first network element type subsequently. , which can save costs and reduce waste of resources.

For the above steps 205 to 206, in the second case, based on the first data analysis result, NWDAF finds that the first data analysis result does not meet the expected result, such as the model is not stable, the first data analysis result does not converge or If the first data analysis result does not match the actual result, the NWDAF may re-update the network element type corresponding to the data type to the default or preconfigured network element type. For example, by analyzing the model, NWDAF determines that the first data analysis result corresponding to network performance does not meet the expected results, and then updates the first set corresponding to network performance to the second set (ie, the default or pre-configured network element type).

Based on the second situation, there is at least one network element type not included in the first set in the second set. For example, if the first set corresponding to network performance is {RAN type, AMF type, UPF type, SMF type}, the second set corresponding to network performance may be {RAN type, AMF type, UPF type, SMF type, AF type} , or {RAN type, AMF type, UPF type, SMF type, PCF type}, or {RAN type, AMF type, UPF type, SMF type, AF type, PCF type}, etc., which form depends on the specific Implementation, this application does not limit.

Here, the network element type included in the second set but not included in the first set is referred to as the second network element type, then based on the second situation, after step 206, the following steps B1 to B2 can also be performed:

Step B1, the NWDAF determines the second network element type.

Step B2, the NWDAF acquires the second network element information corresponding to the second network element type from the NRF.

The network element information here may be, for example, one or more of address information, identification information, and FQDN of the network element.

As a realization method, after step B2, can also perform following steps B3-step B4:

Step B3, the NWDAF sends a subscription request message to the network element corresponding to the second network element information, where the subscription request message is used to request data subscription to the network element corresponding to the second network element information.

It can also be understood that the subscription request message is used to request the data subscription of the network element corresponding to the second network element type.

As a realization method, after step B2 or step B3 (under the premise of executing step B3), the following steps B4-B5 can also be performed:

Step B4, the NWDAF acquires the second data from the network element corresponding to the second network element information.

Step B5, the NWDAF determines the second data analysis result according to the first data and the second data.

It should be noted that the first data in step B5 may be all or part of the first data.

In a possible implementation manner, the first data here may be the first data obtained in step 203 .

In another possible implementation manner, the data analysis network element determines the first network element type unrelated to the data analysis type (analytics ID) through step A1, and the data analysis network element can delete the first network element in the first data that is related to the first network element. The data corresponding to the network element type, the remaining data is used as the first data in step B5. In this implementation manner, if the data analysis network element determines that all the first data is irrelevant to the data analysis type (analytics ID), in step B5, the NWDAF only determines the second data analysis result according to the second data.

Based on the above steps B4 to B5, since the analysis result of the first data is incorrect, the NWDAF further obtains the second data from the network element corresponding to the second network element type, and performs data analysis according to the first data and the second data. analysis to obtain a second data analysis result, the second data analysis result is obtained based on the acquisition of more data for analysis, thus helping to determine an accurate data analysis result.

It should be noted that, after step B5, the network element type corresponding to the data analysis type can also be updated according to the second data analysis result, and the implementation method is similar to the process of the above steps 205-206, and will not be repeated.

It should be further noted that, after the network element type corresponding to the data analysis type included in the NWDAF is updated to the second set, subsequent data acquisition and data analysis may be performed based on the corresponding relationship between the data analysis type and the second set.

In this step, the NWDAF can acquire the data to be analyzed from the network elements corresponding to the updated second set, and the NWDAF acquires the second data analysis result according to the data to be analyzed.

As an implementation method, before the above step 201, the following step 200 is further included:

Step 200, the first network element sends a request message to the NWDAF. Accordingly, the NWDAF can receive the request message.

The request message includes the above data analysis type, and the request message is used to request to obtain the data analysis result corresponding to the data analysis type.

The first network element may be any network element for requesting to obtain the data analysis result corresponding to the data analysis type, and the first network element is an example of the consumer network elements described above.

On the premise of performing step 200, in a first implementation manner, the NWDAF may directly send the first data analysis result to the first network element after step 204.

Under the premise of executing this step 200, in the second implementation manner, if the above steps 205 to 206 are executed, and it belongs to the first situation described above, the following step 207a is executed after the step 206:

Step 207a, the NWDAF sends the first data analysis result to the first network element. Correspondingly, the first network element may receive the first data analysis result.

Under the premise of executing this step 200, in the third implementation manner, if the above steps 205 to 206 are executed, and it belongs to the second situation described above, the following step 207b is executed after the step 206:

Step 207b, the NWDAF sends the second data analysis result to the first network element. Correspondingly, the first network element may receive the second data analysis result.

For the second data analysis result, reference may be made to the foregoing description, which will not be repeated here.

To sum up, the NWDAF can send the data analysis result (ie, the first data analysis result or the more optimized second data analysis result) to the first network element, which helps to improve communication efficiency.

In a possible implementation method, the request message in the above step 200 may carry screening information in addition to the data analysis type. In this case, the request message is used to request the acquired data analysis type and the data analysis corresponding to the screening information. result.

The screening information may be, for example, area information, or slice information, or area information and slice information. The area information here may be in any form, and specific examples include one or more cell identifiers, one or more tracking area identifiers (Tracking Area Identity, TAI), administrative area identifiers, geographic area latitude and longitude identifiers, and the like. The slice information here can be one or more of the following: network slice selection assistance information (NSSAI), single network slice selection assistance information (S-NSSAI), network slice instance (network slice instance, NSI) information, network slice sub-instance (network slice subnet instance, NSSI) information, etc.

When the request message also carries the screening information, the collected data obtained by the NWDAF is related to the screening information, and two different implementation methods are given below.

Implementation method 1, on the basis of any of the embodiments in FIG. 2 , the above step 202 is specifically implemented as: the NWDAF sends a network element discovery request message to the NRF, and the network element discovery request message includes the first set and screening information; NWDAF receives the network element from the NRF A discovery response message, where the network element discovery response message includes first network element information corresponding to the first set and screening information.

Based on this implementation method, after obtaining the data analysis type and screening information from the request message of the first network element, the NWDAF first determines the first set according to the data analysis type, and then sends the first set and the NRF to the NRF through the network element discovery request message. The screening information, that is, the network element discovery request message, is used to request the network element information (ie, the first network element information) corresponding to the screening information and the first set.

For example, when the screening information is area information, the NRF supports the network element addressing function based on location information in the prior art, that is, the network element discovery request message received by the NRF in the prior art may carry the prefer target NFlocation, but the NRF Only the Tracking Area Identity (TAI) can be recognized, and other forms of location information, such as cells, address locations (such as administrative areas), etc., cannot be recognized. In this application, the form of the above-mentioned area information is not limited, and the specific form is as described above.

After receiving the network element discovery request message, the NRF converts the area information into address information that it can identify. As an implementation method, the NRF can send the query information to the OAM, which carries the above-mentioned area information, and the OAM helps realize the conversion of the location information, that is, the area information is converted into the address information that the NRF itself can identify.

As another implementation method, NRF can also obtain configuration information from OAM, which includes network topology relationship, that is, the mapping relationship between different forms of location information. NRF realizes the conversion of location information according to the saved network topology relationship, that is, regional information. Converted to address information that can be recognized by the NRF itself.

As another implementation method, the service area of each network element may be configured in the NRF, and the service area may be marked in other forms (eg, cell identifier, geographic location identifier) in addition to being marked in the form of TAI. Assuming that the area information in the network element discovery request message sent by the NWDAF is in the first area form, the NRF uses the first area form to index the corresponding network element, and finally finds a matching network element instance. For example, the service area where AMF instance 1 is stored in NRF is TAIlist 1, cell ID list 1, and geographic area 1. The area information sent by NWDAF is cell list 1. Then NRF determines the corresponding AMF network according to cell list 1. The meta instance is AMF instance 1.

Then, the NRF obtains the relevant network element information based on the first set and the converted address information, and then returns the obtained network element information to the NWDAF.

Based on the implementation method 1, the above step 205 is specifically implemented as: NWDAF determines the data analysis type and the second set corresponding to the screening information according to the first data analysis result. The above step 206 is specifically implemented as: the NWDAF updates the stored data analysis type and the network element type corresponding to the screening information from the first set to the second set.

The following is an example to illustrate.

Taking the network performance (Network performance) in Table 1 as an example, the network element types corresponding to the network performance include: RAN, AMF, SMF, and UPF. After adding the screening information, for example, the corresponding relationship among the data analysis types, screening information and network element types as shown in Table 3 can be obtained.

table 3

As can be seen from Table 3, the same data analysis type corresponds to different network element types according to different filtering information. Subsequently, relevant network element types may be obtained based on Table 3, and data to be analyzed corresponding to the data analysis types may be obtained from the instances of these network element types to perform model analysis.

Implementation method 2, based on any of the embodiments in FIG. 2 , the above step 201 is specifically implemented as: NWDAF determines the data analysis type and the first set corresponding to the screening information.

Based on this implementation method, after acquiring the data analysis type and the screening information from the request message of the first network element, the NWDAF determines the first set according to the data analysis type and the screening information.

Based on the implementation method 2, the above step 205 is specifically implemented as: the NWDAF determines the second set corresponding to the data analysis type and the screening information according to the first data analysis result. The above step 206 is specifically implemented as: the NWDAF updates the stored data analysis type and the network element type corresponding to the screening information from the first set to the second set.

For example, the NWDAF stores data analysis types, screening information, and corresponding relationships of network element types. Take the data analysis type as network performance (Network performance) as an example, and the corresponding relationship between the data analysis type, screening information and network element type stored in the NWDAF is shown in Table 3. Based on this implementation method 2, for example, the screening information carried in the request message of the first network element is screening information 1, and the data analysis type is network performance, then NWDAF first determines the first set is {AMF according to screening information 1 and network performance. Type, SMF Type, UPF Type, RAN Type}, then send the first set to the NRF. Next, the NRF acquires the network element information corresponding to the first set and returns it to the NWDAF, so that the NWDAF acquires data from the network elements corresponding to the network element information for analysis, thereby obtaining a data analysis result.

As an implementation method, in addition to the first set, the NWDAF can carry the screening information in the network element discovery request message sent to the NRF, so that the NRF can obtain the corresponding network element information according to the screening information and the first set. The specific process that the NRF obtains the corresponding network element information according to the screening information and the first set may refer to the relevant description in the above-mentioned implementation method 1, which will not be repeated here.

It should be noted that, as an alternative implementation method, in the embodiment of FIG. 2 , the first data corresponding to the data analysis type to be analyzed can also be obtained by the following method: NWDAF determines the network corresponding to the data analysis type to be analyzed. The first set of metatypes, obtaining the first network element information corresponding to the first set from the NRF, and determining the third set of data types corresponding to the data analysis type to be analyzed, where the third set includes one or more data type, and then, the NWDAF acquires the first data corresponding to the third set from the network element corresponding to the first network element information.

Based on this implementation, after obtaining the first data analysis result according to the first data analysis, the NWDAF can also determine, according to the first data analysis result, a fourth set of data types corresponding to the data analysis type, where the fourth set includes a or multiple data types, the fourth set is different from the third set, and the NWDAF can update the data type corresponding to the saved data analysis type from the third set to the fourth set. For example, referring to Table 2, when NWDAF acquires the first data, it acquires data corresponding to the data type and network element type, and after obtaining the data analysis results, it evaluates that the analysis results are related to those data types, and then can dynamically update Table 2 For example, if you think that the analysis result has nothing to do with the air interface packet loss rate of the RAN, you can delete the air interface packet loss rate in Table 2.

In a possible implementation method, after updating the data type corresponding to the data analysis type from the third set to the fourth set, the NWDAF may further perform the following steps: the NWDAF determines the first data type, and the first data type is included in the The above third set is not included in the above fourth set; NWDAF sends an unsubscribe request message to the network element corresponding to the first data type, and the unsubscribe request message is used to request to cancel the data subscription corresponding to the first data type.

In another possible implementation method, after updating the data type corresponding to the data analysis type from the third set to the fourth set, the NWDAF may further perform the following steps: the NWDAF determines a second data type, where the second data type includes In the fourth set but not included in the third set; the NWDAF sends a subscription request message to the network element corresponding to the second data type, where the subscription request message is used to request data subscription corresponding to the second data type.

To sum up, the present application provides a method for network element discovery and data analysis based on a data analysis type, wherein the NWDAF can provide the NRF with the network element type information required for network element discovery, so that the NRF can help the NWDAF address the appropriate network elements. network elements for data collection. Based on the above solution, NWDAF can also provide data type information required for data collection to appropriate network elements, so as to obtain appropriate training data so as to complete the data analysis function. In addition, NWDAF can update the corresponding relationship between the data analysis type and the network element type and/or data type according to the data analysis result, so that when the data analysis needs to be performed for the data analysis type again in the future, it can more accurately obtain the data for data analysis. training data.

After the network element type corresponding to the data analysis type is updated from the first set to the second set through the above embodiment, in some scenarios, if the data corresponding to the above data analysis type needs to be analyzed again later, if necessary, send the If the second network element provides the data analysis result corresponding to the data analysis type, one or more of the following steps C1 to C3 may be performed:

Step C1, the NWDAF acquires the third network element information corresponding to the second set from the NRF.

Step C2, the NWDAF acquires third data from the network element corresponding to the third network element information.

Step C3, the NWDAF analyzes the third data to obtain a third data analysis result.

The specific implementation of the above steps C1 to C3 is similar to the process of the above steps 202 to 204, and reference may be made to the foregoing description.

Further, after step C3, the following steps C4-C5 may also be included.

Step C4, NWDAF determines a fifth set of network element types corresponding to the data analysis type according to the third data analysis result, the fifth set includes one or more network element types, and the fifth set is different from the second set.

Step C5, the NWDAF updates the network element type corresponding to the saved data analysis type from the second set to the fifth set.

The specific implementation of the above steps C4 to C5 is similar to the process of the above steps 204 to 205, and reference may be made to the above description.

It should be noted that, if NWDAF has updated the data type corresponding to the data analysis type from the third set to the fourth set before the process of the above steps C1-C3, then step C2 can be replaced with the following steps:

Step C2', the NWDAF acquires third data corresponding to the fourth set from the network element corresponding to the third network element information.

Further, after step C3, the following steps C6-step C7 may also be included:

Step C6, NWDAF determines a sixth set of data types corresponding to the data analysis type according to the third data analysis result, the sixth set includes one or more data types, and the sixth set is different from the above-mentioned fourth set.

Step C7, NWDAF updates the data type corresponding to the saved data analysis type from the fourth set to the sixth set.

It should be noted that the names of the above messages in this application are just an example. With the evolution of communication technologies, the names of the above messages may change accordingly, but as long as the functions of the messages are the same as those of the messages in this application The function is the same, and the change of its name does not affect the protection scope of this application.

It should be noted that the first set, the second set, the third set, the fourth set and the fifth set in this application are only used for distinction, and their names may also be other names. Moreover, in a specific implementation, it can also be implemented in the form of a list.

It should be noted that, the steps in the embodiments of the present application are not limited to all steps to be executed, and one or more steps of the foregoing embodiments are optionally executed.

The foregoing mainly introduces the solution provided by the present application from the perspective of interaction between various network elements. It can be understood that, in order to realize the above-mentioned functions, each network element in the above-mentioned implementation includes corresponding hardware structures and/or software modules for executing each function. Those skilled in the art should easily realize that the present invention can be implemented in hardware or a combination of hardware and computer software in conjunction with the units and algorithm steps of each example described in the embodiments disclosed herein. Whether a function is performed by hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each particular application, but such implementations should not be considered beyond the scope of the present invention.

The execution steps of the different examples in the embodiment of FIG. 2 are described below in conjunction with different drawings.

As shown in FIG. 3 , a schematic flowchart of another data analysis method provided by the present application. The method includes one or more of the following steps:

Step 300, the network element 1 sends a request message to the NWDAF. Accordingly, the NWDAF can receive the request message.

The network element 1 is a specific example of the first network element in the embodiment of FIG. 2 .

The request message includes the above data analysis type, and the request message is used to request to obtain the data analysis result corresponding to the data analysis type.

Optionally, the request message includes screening information, and reference may be made to the description of the embodiment in FIG. 2 for the specific implementation of the screening information.

For steps 301 to 306, refer to steps 201 to 206 in the embodiment of FIG. 2 .

Moreover, in the embodiment of FIG. 3 , the second set is a proper subset of the first set, that is, the network element types in the second set are included in the first set.

It should be noted that the network element 2 in FIG. 3 is the network element corresponding to the first network element information in the embodiment of FIG. 2 , and the method for determining the network element 2 may refer to the description of the embodiment of FIG. 2 , which will not be repeated here.

Step 307, the NWDAF sends the first data analysis result to the network element 1. Correspondingly, the network element 1 can receive the first data analysis result.

Step 308, the NWDAF determines the first network element type.

The first network element type is a network element type in the first set that is not related to the data analysis type.

Step 309, optionally, the NWDAF sends an unsubscribe request message to the network element corresponding to the first network element type (referred to as network element 3), and the unsubscribe request message is used to request to cancel the subscription to the network element corresponding to the first network element type. Data subscription.

It should be noted that the network element 3 may be one network element or multiple network elements. The network element 3 here is one or more network elements in the foregoing network elements 2 .

For the specific implementation of the steps 308 to 309, reference may be made to the descriptions of the steps A1 to A2 in the embodiment of FIG. 2 .

It should be noted that there is no strict execution order between the above steps 308-309 and step 307. For example, step 307 may be executed before step 308, or after step 308 and before step 309, or before step 309. Execute after step 309.

As shown in FIG. 4 , a schematic flowchart of another method for data analysis provided by the present application. The method includes one or more of the following steps:

Step 400, the network element 1 sends a request message to the NWDAF. Accordingly, the NWDAF can receive the request message.

The network element 1 is a specific example of the first network element in the embodiment of FIG. 2 .

The request message includes the above data analysis type, and the request message is used to request to obtain the data analysis result corresponding to the data analysis type.

Optionally, the request message includes screening information, and reference may be made to the description of the embodiment in FIG. 2 for the specific implementation of the screening information.

For steps 401 to 406, refer to steps 201 to 206 in the embodiment of FIG. 2 . Moreover, in the embodiment of FIG. 4 , the network element type that belongs to the second set but does not belong to the first set is called the second network element type, and the network element corresponding to the second network element type is called network element 4. Element 4 may be one or more network elements.

It should be noted that the network element 2 in FIG. 4 is the network element corresponding to the first network element information in the embodiment of FIG. 2 , and the method for determining the network element 2 may refer to the description of the embodiment of FIG. 2 , which will not be repeated here.

Step 407, NWDAF determines the second type.

Step 408, the NWDAF acquires the second network element information corresponding to the second network element type from the NRF.

Step 409, the NWDAF sends a subscription request message to the network element 4, where the subscription request message is used to request data subscription to the network element (ie, the network element 4) corresponding to the second network element information.

Step 410, the NWDAF acquires the second data from the network element corresponding to the second network element information.

Step 411, NWDAF determines the second data analysis result according to the first data and the second data.

For the specific implementation of the above steps 407 to 411, reference may be made to the descriptions of the steps B1 to B5 in the embodiment of FIG. 2 .

Step 412, the NWDAF sends the second data analysis result to the network element 1. Correspondingly, the network element 2 can receive the second data analysis result.

Based on the embodiment in FIG. 3 or FIG. 4 , after the first network element (ie, network element 1) sends a request message to NWDAF, NWDAF updates the mapping relationship (the mapping relationship between data analysis types and network element types, and/or the data analysis type mapping to data types). If the subsequent second network element (the second network element and the first network element may be the same or different, and the second network element is also referred to as network element 5 here) requests the data analysis result corresponding to the data analysis type again, then The NWDAF may obtain the network element information from the NRF according to the updated mapping relationship, obtain data from the network element corresponding to the network element information, and obtain a third data analysis result according to the obtained data. Described below in conjunction with Figure 5, the method includes one or more of the following steps:

Step 500, the network element 5 sends a request message to the NWDAF.

The request message includes the data analysis type, and optionally, the request message also includes screening information.

Step 501, NWDAF determines a second set of network element types corresponding to the data analysis type.

Step 502, the NWDAF acquires the third network element information corresponding to the second set from the NRF.

Step 503, the NWDAF acquires third data from the network element (referred to as network element 6) corresponding to the third network element information. The network element 6 here may be one or more network elements.

It should be noted that, if before the network element 5 initiates step 500, the NWDAF has updated the data type corresponding to the data analysis type from the third set to the fourth set, then step 503 is specifically: NWDAF converts the data corresponding to the third network element information The network element acquires third data corresponding to the fourth set.

Step 504, NWDAF analyzes the third data to obtain a third data analysis result.

Optionally, after step 504, the NWDAF may further determine a fifth set of network element types corresponding to the data analysis type according to the third data analysis result, where the fifth set includes one or more network element types. If the fifth set is different from the second set, the step of updating the network element type corresponding to the saved data analysis type from the second set to the fifth set needs to be performed subsequently.

Optionally, after step 504, the NWDAF may further determine a sixth set of data types corresponding to the data analysis type according to the third data analysis result, where the sixth set includes one or more data types. If the sixth set is different from the fourth set, the step of updating the data type corresponding to the saved data analysis type from the fourth set to the sixth set needs to be performed subsequently.

Further, according to different scenarios (for example, the fifth set is a proper subset of the first set, or there is at least one network element type that does not belong to the second set in the fifth set), the NWDAF sends the third analysis result to the first set. The second network element, or re-analyzes the data according to the newly acquired data and the third data to obtain a fourth analysis result and sends the result to the second network element. The specific implementation process is similar to the related solution of step 207a or step 207b in the embodiment of FIG. 2 , and details are not repeated here.

It should be noted that, in step 500, if the request message carries the screening information, the specific method of using the screening information may refer to the description of the method of using the screening information in the embodiment of FIG. 2, which will not be repeated here.

It should be noted that, in the embodiment of FIG. 5, a variety of other different implementation methods may be added, for example, in combination with data types, the specific implementation process can refer to the description of the use method of data types in the embodiment of FIG. 2, which is not repeated here. Repeat.

As shown in FIG. 6 , which is a possible exemplary block diagram of the data analysis apparatus involved in this application, the apparatus 600 may exist in the form of software or hardware. The apparatus 600 may include: a processing unit 602 and a communication unit 603 . As an implementation manner, the communication unit 603 may include a receiving unit and a sending unit. The processing unit 602 is used to control and manage the actions of the device 600 . The communication unit 603 is used to support the communication between the apparatus 600 and other network entities. The apparatus 600 may further include a storage unit 601 for storing program codes and data of the apparatus 600 .

The processing unit 602 may be a processor or a controller, for example, a general-purpose central processing unit (CPU), general-purpose processor, digital signal processing (DSP), application specific integrated circuits (application specific integrated circuits) , ASIC), field programmable gate array (FPGA) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute the various exemplary logical blocks, modules and circuits described in connection with this disclosure. The processor may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like. The storage unit 601 may be a memory. The communication unit 603 is an interface circuit of the device for receiving signals from other devices. For example, when the device is implemented in the form of a chip, the communication unit 603 is an interface circuit used by the chip to receive signals from other chips or devices, or an interface circuit used by the chip to send signals to other chips or devices.

The apparatus 600 may be a data analysis network element in any of the foregoing embodiments, and may also be a chip for a data analysis network element. For example, when the apparatus 600 is a data analysis network element, the processing unit 602 may be, for example, a processor, and the communication unit 603 may be, for example, a transceiver. Optionally, the transceiver may include a radio frequency circuit, and the storage unit may be, for example, a memory. For example, when the apparatus 600 is a chip for a data analysis network element, the processing unit 602 may be, for example, a processor, and the communication unit 603 may be, for example, an input/output interface, a pin, or a circuit. The processing unit 602 can execute computer execution instructions stored in a storage unit. Optionally, the storage unit is a storage unit in the chip, such as a register, a cache, etc., and the storage unit can also be a data analysis network element located in the A storage unit outside the chip, such as read-only memory (ROM) or other types of static storage devices that can store static information and instructions, random access memory (RAM), and the like.

In one embodiment, the apparatus 600 is a data analysis network element, and the processing unit 602 is configured to determine a first set of network element types corresponding to the data analysis type to be analyzed, where the first set includes one or more network element types; The data analysis network element obtains the first network element information corresponding to the first set from the network warehouse function network element; the communication unit 603 is configured to obtain the first data from the network element corresponding to the first network element information; the processing unit 602 is further configured to According to the first data, a first data analysis result is obtained.

In a possible implementation method, the processing unit 602 is specifically configured to determine the first set corresponding to the data analysis type according to the corresponding relationship between the data analysis type and the first set.

In a possible implementation method, the processing unit 602 is further configured to determine, according to the first data analysis result, a second set of network element types corresponding to the data analysis type, where the second set includes one or more network element types, and the second set includes one or more network element types. The second set is different from the first set; the network element type corresponding to the data analysis type is updated from the first set to the second set.

In a possible implementation method, the processing unit 602 is specifically configured to determine the second set corresponding to the data analysis type and screening information according to the first data analysis result; The metatype is updated from the first set to the second set.

In a possible implementation method, the processing unit 602 is specifically configured to determine a third set of data types corresponding to the data analysis type, and the third set includes one or more data types; the communication unit 602 is specifically configured to obtain data from the first The network element corresponding to the network element information acquires the first data corresponding to the third set.

In a possible implementation method, the processing unit 602 is specifically configured to determine the above-mentioned first set according to the third set.

In a possible implementation method, the processing unit 602 is further configured to determine, according to the first data analysis result, a fourth set of data types corresponding to the data analysis type, the fourth set includes one or more data types, and the fourth set includes one or more data types. It is different from the third set; the data analysis network element updates the data type corresponding to the data analysis type from the third set to the fourth set.

In a possible implementation method, the processing unit 602 is further configured to determine the first network element type, and the first network element type is included in the first set but not included in the second set; the communication unit 602 is further configured to report to the first network element type. A network element corresponding to a network element type sends an unsubscribe request message, and the unsubscribe request message is used to request to cancel the data subscription to the network element corresponding to the first network element type.

In a possible implementation method, the processing unit 602 is specifically configured to determine the second network element type, the second network element type is included in the second set but not included in the first set; the data analysis network element is obtained from the network warehouse function network The element obtains second network element information corresponding to the second network element type.

In a possible implementation method, the communication unit 603 is further configured to acquire the second data from the network element corresponding to the second network element information; the processing unit 602 is further configured to analyze the first data and the second data to obtain The second data analysis results.

In a possible implementation method, the communication unit 603 is further configured to receive a request message from the first network element, where the request message includes the data analysis type and screening information; the processing unit 602 is specifically configured to determine the data analysis type and screening information. The first set corresponding to the information.

In a possible implementation method, the communication unit 603 is specifically configured to receive a request message from the first network element, where the request message includes the data analysis type and screening information, and the request message is used to request to obtain data corresponding to the data analysis type and screening information send the network element discovery request message to the network warehouse function network element, the network element discovery request message includes the first set and screening information; the data analysis network element receives the network element discovery response message from the network warehouse function network element, the network element The discovery response message includes first network element information corresponding to the first set and screening information.

In a possible implementation method, the communication unit 603 is further configured to send the first data analysis result to the first network element.

In a possible implementation method, the processing unit 602 is further configured to determine a second data type, and the second data type is included in the fourth set but not included in the third set; the communication unit 603 is further configured to send the data to the third set. The network element corresponding to the second data type sends a subscription request message, where the subscription request message is used to request data subscription corresponding to the second data type.

In a possible implementation method, the processing unit 602 is specifically configured to determine the above-mentioned second set according to the above-mentioned fourth set.

In a possible implementation method, the communication unit 603 is further configured to obtain third network element information corresponding to the second set from the network warehouse function network element; obtain third data from the network element corresponding to the third network element information; process The unit 602 is further configured to analyze the third data to obtain a third data analysis result.

In a possible implementation method, the processing unit 602 is further configured to determine, according to the third data analysis result, a fifth set of network element types corresponding to the data analysis type, where the fifth set includes one or more network element types, and the fifth set includes one or more network element types. The fifth set is different from the second set; the network element type corresponding to the data analysis type is updated from the second set to the fifth set.

In a possible implementation method, the communication unit 603 is specifically configured to send a network element discovery request message to the network warehouse function network element, where the network element discovery request message includes the first set; and receive a network element discovery response from the network warehouse function network element message, the network element discovery response message includes first network element information corresponding to the first set.

In a possible implementation method, the processing unit 602 is further configured to determine the first data type, the first data type is included in the third set but not included in the fourth set; the communication unit 603 is further configured to send the first data type to the The network element corresponding to the type sends an unsubscribe request message, and the unsubscribe request message is used to request to cancel the data subscription corresponding to the first data type.

It can be understood that, for the specific implementation process and the corresponding beneficial effects when the device is used in the above data analysis method, reference may be made to the relevant descriptions in the foregoing method embodiments, which will not be repeated here.

As shown in FIG. 7 , a schematic diagram of a data analysis apparatus provided by the present application is provided, and the apparatus may be a data analysis network element in the foregoing embodiment. The apparatus 700 includes: a processor 702 , a communication interface 703 , and a memory 701 . Optionally, the apparatus 700 may further include a communication line 704 . The communication interface 703, the processor 702 and the memory 701 may be connected to each other through a communication line 704; the communication line 704 may be a peripheral component interconnect (PCI for short) bus or an extended industry standard architecture (extended industry standard architecture, for short) EISA) bus, etc. The communication line 704 can be divided into an address bus, a data bus, a control bus, and the like. For ease of presentation, only one thick line is used in FIG. 7, but it does not mean that there is only one bus or one type of bus.

The processor 702 may be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for controlling the execution of the programs of the present application.

Communication interface 703, using any transceiver-like device, for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), wired access network, etc.

The memory 701 can be a ROM or other types of static storage devices that can store static information and instructions, a RAM or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (electrically erasable programmable read-only memory). read-only memory, EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), magnetic disk storage A medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, without limitation. The memory may exist independently and be connected to the processor through communication line 704 . The memory can also be integrated with the processor.

The memory 701 is used for storing computer-executed instructions for executing the solution of the present application, and the execution is controlled by the processor 702 . The processor 702 is configured to execute the computer-executed instructions stored in the memory 701, thereby implementing the data analysis method provided by the above embodiments of the present application.

Optionally, the computer-executed instructions in the embodiment of the present application may also be referred to as application code, which is not specifically limited in the embodiment of the present application.

As shown in FIG. 8 , a schematic diagram of a data analysis system 800 provided by an embodiment of the present application is provided. The system 800 includes a network warehouse function network element 801 and a data analysis device 802 .

A data analysis device 802, configured to determine a first set of network element types corresponding to the data analysis type to be analyzed, where the first set includes one or more network element types; obtain the first set from network warehouse function network elements corresponding first network element information; obtaining first data from a network element corresponding to the first network element information; and obtaining a first data analysis result according to the first data;

The network warehouse function network element 801 is configured to acquire first network element information corresponding to the first set and send it to the data analysis device 802 .

In a possible implementation method, the data analysis device 802 is specifically configured to determine the first set corresponding to the data analysis type according to the corresponding relationship between the data analysis type and the first set.

In a possible implementation method, the data analysis device 802 is further configured to determine, according to the first data analysis result, a second set of network element types corresponding to the data analysis type, where the second set includes one or more multiple network element types, the second set is different from the first set; and used to update the network element type corresponding to the data analysis type from the first set to the second set.

In a possible implementation method, the data analysis device 802 is specifically configured to determine a third set of data types corresponding to the data analysis type, where the third set includes one or more data types; The network element corresponding to the first network element information acquires the first data corresponding to the third set.

In a possible implementation method, the data analysis device 802 is further configured to determine, according to the first data analysis result, a fourth set of data types corresponding to the data analysis type, where the fourth set includes one or more The fourth set is different from the third set; and the data type corresponding to the data analysis type is updated from the third set to the fourth set.

In a possible implementation method, the data analysis device 802 is further configured to determine a first network element type, where the first network element type is included in the first set but not included in the second set; and, Send an unsubscribe request message to the network element corresponding to the first network element type, where the unsubscribe request message is used to request to cancel the data subscription to the network element corresponding to the first network element type.

In a possible implementation method, the data analysis device 802 is further configured to determine a second network element type, where the second network element type is included in the second set but not included in the first set; and, Obtain second network element information corresponding to the second network element type from the network warehouse function network element.

In a possible implementation method, the data analysis device 802 is further configured to obtain second data from the network element corresponding to the second network element information; and analyze the first data and the second data to obtain the second data analysis result.

In a possible implementation method, the data analysis device 802 is specifically configured to receive a request message from a first network element, where the request message includes the data analysis type and screening information; the first set corresponding to the screening information.

In a possible implementation method, the data analysis device 802 is specifically configured to receive a request message from the first network element, where the request message includes the data analysis type and screening information, and the request message is used to request to obtain the the data analysis type and the data analysis result corresponding to the screening information; sending a network element discovery request message to the network warehouse function network element, where the network element discovery request message includes the first set and the screening information; And, receiving a network element discovery response message from the network warehouse function network element, where the network element discovery response message includes the first network element information corresponding to the first set and the screening information.

In a possible implementation method, the data analysis apparatus 802 is further configured to send the first data analysis result to the first network element.

It can be understood that, for the specific implementation process and the corresponding beneficial effects when the system is used in the above data analysis method, reference may be made to the relevant descriptions in the foregoing method embodiments, which will not be repeated here.

Those of ordinary skill in the art can understand that the first, second, and other numeral numbers involved in the present application are only for the convenience of description, and are not used to limit the scope of the embodiments of the present application, but also represent the sequence. "And/or", which describes the association relationship of the associated objects, means that there can be three kinds of relationships, for example, A and/or B, which can mean that A exists alone, A and B exist at the same time, and B exists alone. The character "/" generally indicates that the associated objects are an "or" relationship. "At least one" means one or more. At least two means two or more. "At least one", "any one", or similar expressions, refers to any combination of these items, including any combination of single item(s) or plural item(s). For example, at least one item (single, species) of a, b, or c can represent: a, b, c, a-b, a-c, b-c, or a-b-c, where a, b, c can be single or multiple. "Plurality" means two or more, and other quantifiers are similar. Furthermore, occurrences of the singular forms "a", "an" and "the" do not mean "one or only one" unless the context clearly dictates otherwise, but rather "one or more" in one". For example, "a device" means to one or more of such devices.

In the above-mentioned embodiments, it may be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented in software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present application are generated. The computer may be a general purpose computer, special purpose computer, computer network, or other programmable device. The computer instructions may be stored in or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be downloaded from a website site, computer, server or data center Transmission to another website site, computer, server, or data center is by wire (eg, coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (eg, infrared, wireless, microwave, etc.). The computer-readable storage medium may be any available medium that a computer can access, or a data storage device such as a server, a data center, or the like that includes an integration of one or more available media. The usable media may be magnetic media (eg, floppy disks, hard disks, magnetic tapes), optical media (eg, DVDs), or semiconductor media (eg, solid state disks (SSDs)), and the like.

The various illustrative logic units and circuits described in the embodiments of this application may be implemented by general purpose processors, digital signal processors, application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs) or other programmable logic devices, Discrete gate or transistor logic, discrete hardware components, or any combination of the above are designed to implement or operate the described functions. A general-purpose processor may be a microprocessor, or alternatively, the general-purpose processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented by a combination of computing devices, such as a digital signal processor and a microprocessor, multiple microprocessors, one or more microprocessors in combination with a digital signal processor core, or any other similar configuration. accomplish.

The steps of the method or algorithm described in the embodiments of this application may be directly embedded in hardware, a software unit executed by a processor, or a combination of the two. A software unit may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art. Illustratively, a storage medium may be coupled to the processor such that the processor may read information from, and store information in, the storage medium. Optionally, the storage medium can also be integrated into the processor. The processor and storage medium may be provided in the ASIC.

These computer program instructions can also be loaded on a computer or other programmable data processing device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process such that The instructions provide steps for implementing the functions specified in the flow or blocks of the flowcharts and/or the block or blocks of the block diagrams.

In one or more exemplary designs, the above-described functions described herein may be implemented in hardware, software, firmware, or any combination of the three. If implemented in software, the functions may be stored on, or transmitted over, a computer-readable medium in the form of one or more instructions or code. Computer-readable media includes computer storage media and communication media that facilitate the transfer of a computer program from one place to another. Storage media can be any available media that a general-purpose or special-purpose computer can access. For example, such computer-readable media may include, but are not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other device that can be used to carry or store instructions or data structures and Other media in the form of program code that can be read by a general-purpose or special-purpose computer, or a general-purpose or special-purpose processor. In addition, any connection is properly defined as a computer-readable medium, for example, if software is transmitted from a website site, server or other remote source over a coaxial cable, fiber optic computer, twisted pair, digital subscriber line (DSL) Or transmitted by wireless means such as infrared, wireless, and microwave are also included in the definition of computer-readable media. The discs and magnetic discs include compact discs, laser discs, optical discs, digital versatile discs (English: Digital Versatile Disc, DVD for short), floppy discs and blu-ray discs. Disks usually reproduce data magnetically, while Discs usually use lasers to optically reproduce data. Combinations of the above can also be included in computer readable media.

Those skilled in the art should appreciate that, in one or more of the above examples, the functions described in this application may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage medium can be any available medium that can be accessed by a general purpose or special purpose computer.

The specific embodiments described above further describe the purpose, technical solutions and beneficial effects of the present application in detail. It should be understood that the above descriptions are only specific embodiments of the present application, and are not intended to limit the The protection scope, any modifications, equivalent replacements, improvements, etc. made on the basis of the technical solutions of the present application shall be included within the protection scope of the present application. The above description of the specification of this application can enable any skilled in the art to utilize or realize the content of this application, and any modifications based on the disclosed content should be considered obvious in the art, and the basic principles described in this application can be applied to other modifications without departing from the spirit and scope of the invention of the present application. Thus, the present disclosure is not intended to be limited only to the embodiments and designs described, but can be extended to the fullest extent consistent with the principles of this application and the novel features disclosed.

Although the application has been described in conjunction with specific features and embodiments thereof, it will be apparent that various modifications and combinations can be made therein without departing from the spirit and scope of the application. Accordingly, this specification and drawings are merely exemplary illustrations of the application as defined by the appended claims, and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of this application. Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims (27)

1. a data analysis method, is characterized in that, comprises: The data analysis network element determines a first set of network element types corresponding to the data analysis type to be analyzed, where the first set includes one or more network element types; The data analysis network element obtains the first network element information corresponding to the first set from the network warehouse function network element; The data analysis network element obtains the first data from the network element corresponding to the first network element information; The data analysis network element obtains a first data analysis result according to the first data. 2. The method of claim 1, wherein the data analysis network element determines the first set of network element types corresponding to the data analysis type to be analyzed, comprising: The data analysis network element determines the first set corresponding to the data analysis type according to the corresponding relationship between the data analysis type and the first set. 3. The method of claim 1 or 2, wherein the method further comprises: The data analysis network element determines, according to the first data analysis result, a second set of network element types corresponding to the data analysis type, where the second set includes one or more network element types, and the second set includes one or more network element types. is not identical to said first set; The data analysis network element updates the network element type corresponding to the data analysis type from the first set to the second set. 4. The method according to any one of claims 1-3, wherein the method further comprises: The data analysis network element determines a third set of data types corresponding to the data analysis type, where the third set includes one or more data types; The data analysis network element obtains the first data from the network element corresponding to the first network element information, including: The data analysis network element acquires the first data corresponding to the third set from the network element corresponding to the first network element information. 5. The method of claim 4, wherein the method further comprises: The data analysis network element determines, according to the first data analysis result, a fourth set of data types corresponding to the data analysis type, where the fourth set includes one or more data types, and the fourth set is related to all data types. The third set is not the same; The data analysis network element updates the data type corresponding to the data analysis type from the third set to the fourth set. 6. The method of claim 3, wherein the method further comprises: The data analysis network element determines a first network element type, the first network element type is included in the first set but not included in the second set; The data analysis network element sends an unsubscribe request message to the network element corresponding to the first network element type, where the unsubscribe request message is used to request to cancel the data subscription to the network element corresponding to the first network element type. 7. The method of claim 3, wherein the method further comprises: The data analysis network element determines a second network element type, the second network element type is included in the second set but not included in the first set; The data analysis network element acquires the second network element information corresponding to the second network element type from the network warehouse function network element. 8. The method of claim 7, wherein the method further comprises: The data analysis network element obtains the second data from the network element corresponding to the second network element information; The data analysis network element analyzes the first data and the second data to obtain a second data analysis result. 9. The method according to any one of claims 1-8, wherein the method further comprises: The data analysis network element receives a request message from the first network element, where the request message includes the data analysis type and screening information; The data analysis network element determines the first set of network element types corresponding to the data analysis type to be analyzed, including: The data analysis network element determines the first set corresponding to the data analysis type and the screening information. 10. The method according to any one of claims 1-8, wherein the method further comprises: The data analysis network element receives a request message from the first network element, where the request message includes the data analysis type and screening information, and the request message is used for requesting to obtain data corresponding to the data analysis type and the screening information data analysis results; The data analysis network element obtains the first network element information corresponding to the first set from the network warehouse function network element, including: The data analysis network element sends a network element discovery request message to the network warehouse function network element, where the network element discovery request message includes the first set and the screening information; The data analysis network element receives a network element discovery response message from the network warehouse function network element, where the network element discovery response message includes the first network element information corresponding to the first set and the screening information. 11. The method according to any one of claims 1-10, wherein the method further comprises: The data analysis network element sends the first data analysis result to the first network element. 12. A data analysis device, comprising: a processing unit and a communication unit; the processing unit, configured to determine a first set of network element types corresponding to the data analysis type to be analyzed, where the first set includes one or more network element types; the communication unit, configured to obtain the first network element information corresponding to the first set from the network warehouse function network element; and obtain the first data from the network element corresponding to the first network element information; The processing unit is further configured to obtain a first data analysis result according to the first data. 13. The apparatus according to claim 12, wherein the processing unit is specifically configured to determine the first data analysis type corresponding to the data analysis type according to the corresponding relationship between the data analysis type and the first set. a collection. 14. The apparatus according to claim 12 or 13, wherein the processing unit is further configured to: According to the first data analysis result, a second set of network element types corresponding to the data analysis type is determined, the second set includes one or more network element types, and the second set is the same as the first set Are not the same; The network element type corresponding to the data analysis type is updated from the first set to the second set. 15. The apparatus according to any one of claims 12-14, wherein the processing unit is further configured to: determining a third set of data types corresponding to the data analysis type, where the third set includes one or more data types; The communication unit is specifically configured to acquire the first data corresponding to the third set from the network element corresponding to the first network element information. 16. The apparatus of claim 15, wherein the processing unit is further configured to: According to the first data analysis result, a fourth set of data types corresponding to the data analysis type is determined, the fourth set includes one or more data types, and the fourth set is different from the third set ; The data type corresponding to the data analysis type is updated from the third set to the fourth set. 17. The apparatus of claim 14, wherein the processing unit is further configured to determine a first network element type, the first network element type is included in the first set but not included in the the second set; The communication unit is further configured to send an unsubscribe request message to the network element corresponding to the first network element type, where the unsubscribe request message is used to request to cancel the data of the network element corresponding to the first network element type subscription. 18. The apparatus according to claim 14, wherein the processing unit is further configured to determine a second network element type, the second network element type is included in the second set but not included in the first set; The communication unit is further configured to acquire second network element information corresponding to the second network element type from the network warehouse function network element. 19. The apparatus according to claim 18, wherein the communication unit is further configured to acquire second data from a network element corresponding to the second network element information; The processing unit is further configured to analyze the first data and the second data to obtain a second data analysis result. 20. The apparatus according to any one of claims 12-19, wherein the communication unit is further configured to receive a request message from a first network element, where the request message includes the data analysis type and screening information ; The processing unit is specifically configured to determine the first set corresponding to the data analysis type and the screening information. 21. The apparatus according to any one of claims 12-19, wherein the communication unit is specifically configured to: receiving a request message from a first network element, where the request message includes the data analysis type and screening information, and the request message is used to request to obtain a data analysis result corresponding to the data analysis type and the screening information; sending a network element discovery request message to the network warehouse function network element, where the network element discovery request message includes the first set and the screening information; A network element discovery response message is received from the network warehouse function network element, the network element discovery response message including the first network element information corresponding to the first set and the screening information. 22. The apparatus according to any one of claims 13-21, wherein the communication unit is further configured to send the first data analysis result to the first network element. 23. A data analysis apparatus, comprising: a processor and an interface circuit, wherein the processor is configured to communicate with a network device through the interface circuit, and execute the method according to any one of claims 1-11. 24. A data analysis device, characterized in that it comprises a processor, which is connected to a memory and calls a program stored in the memory to execute the method according to any one of claims 1-11. 25. A data analysis network element, characterized by comprising the device according to any one of claims 12-22. 26. A storage medium on which computer programs or instructions are stored, characterized in that, when the computer programs or instructions are executed, the processor executes the method according to any one of claims 1-11. 27. A data analysis system, characterized by comprising a network warehouse function network element and the device according to any one of claims 12-22.

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