CN115002818B - Network analysis system operation and maintenance method, platform, device and storage medium - Google Patents

Abstract

The application provides an operation and maintenance method, a platform, a device and a storage medium of a network analysis system, wherein the operation state of the network analysis system is obtained by reading the analysis result of the network analysis system and verifying the operation flow of the corresponding analysis function in the network analysis system based on the analysis result if the analysis result exists, otherwise, the operation state of the network analysis system is obtained by detecting the data at each flow node in reverse order based on the analysis flow of the network analysis system, so that the real-time monitoring of the operation state of the whole network analysis system is realized, the unnecessary operation and maintenance labor cost is saved, the efficiency and the accuracy of fault investigation are improved, and the continuous and stable operation of the network analysis system is ensured.

Description

Network analysis system operation and maintenance method, platform, device and storage medium

Technical Field

The present application relates to the field of automated operation and maintenance technology, and in particular to a network analysis system operation and maintenance method, platform, device and storage medium.

Background Art

The high-speed rail network analysis system can realize functions such as accurate positioning of high-speed rail users, high-speed rail user identification, high-speed rail network virtual road testing, and cell capacity analysis, helping operators to improve the user perception of high-speed rail private networks.

At present, the operation and maintenance of the high-speed rail network analysis system is done manually. When a fault occurs, the operation and maintenance personnel need to check different interface data sources one by one, which makes the operation and maintenance work very cumbersome and the operation and maintenance efficiency is extremely low. In order to ease the operation and maintenance pressure and improve the operation and maintenance efficiency, multi-person operation and maintenance is usually introduced, but the manpower cost is high and the drawbacks of manual troubleshooting that are prone to errors cannot be avoided.

Summary of the invention

The embodiments of the present application provide a network analysis system operation and maintenance method, platform, device and storage medium to solve the defects of low efficiency, high cost and poor reliability of manual operation and maintenance in the prior art, and realize automated network analysis system operation and maintenance.

In a first aspect, an embodiment of the present application provides a network analysis system operation and maintenance method, including:

Read the analysis results of the network analysis system;

If the analysis result exists, verifying the operation process of the corresponding analysis function in the network analysis system based on the analysis result to obtain the operation status of the network analysis system;

Otherwise, the data at each process node is detected in reverse order based on the analysis process of the network analysis system to obtain the operating status of the network analysis system.

Optionally, according to the network analysis system operation and maintenance method of an embodiment of the present application, the analysis result includes analysis data corresponding to at least one analysis function;

The verifying the operation process of the corresponding analysis function in the network analysis system based on the analysis result to obtain the operation status of the network analysis system includes:

If analysis data corresponding to any analysis function exists in the analysis result, determining a functional operation state of any analysis function based on the analysis data;

Otherwise, based on the operation process of any of the analysis functions, locate the original data source corresponding to any of the analysis functions, and determine the functional operation status of any of the analysis functions based on the presence or absence and delay of the original data at the original data source.

Optionally, according to a network analysis system operation and maintenance method of an embodiment of the present application, when any analysis function is a voice service KPI analysis, if analysis data corresponding to any analysis function exists in the analysis result, determining the functional operation status of any analysis function based on the analysis data includes:

If the analysis result contains KPI data of all interfaces corresponding to the voice service, it is determined that the voice service KPI analysis is running normally;

Otherwise, based on the operation process of any analysis function, locating the original data source corresponding to any analysis function, and determining the functional operation state of any analysis function based on the presence and delay of original data at the original data source, including:

If the KPI data of any interface corresponding to the voice service does not exist in the analysis result, locating the original data source of any interface;

If there is no original data at the original data source of any of the interfaces, determining that the function operation state of the voice service KPI analysis is that data of any of the interfaces is not reported;

If there is original data at the original data source of any of the interfaces, and the delay of the original data exceeds the preset delay threshold, then determining that the function operation state of the voice service KPI analysis is that the data delay of any of the interfaces exceeds the threshold;

If there is original data at the original data source of any of the interfaces and the delay of the original data does not exceed the preset delay threshold, it is determined that the functional operation status of the voice service KPI analysis is that any of the interfaces is abnormal due to an unknown reason.

Optionally, according to a network analysis system operation and maintenance method of an embodiment of the present application, when any analysis function is MRO analysis, determining the functional operation status of any analysis function based on the analysis data includes:

determining a measurement query value based on analysis data corresponding to the MRO analysis in the analysis result;

If the measurement query value is 0, it is determined that the functional operation state of the MRO analysis is that the periodic MR is not turned on;

If the measurement query value is greater than 0 and less than the query threshold, it is determined that the function operation state of the MRO analysis is that the number of reporting base stations is too small, and the reporting base station is a base station that starts periodic MR;

If the measured query value is greater than or equal to the query threshold, it is determined that the MRO analysis is operating normally.

Optionally, according to a network analysis system operation and maintenance method of an embodiment of the present application, the analysis process sequentially includes a data collection phase, a data analysis phase and a result transmission phase, and the analysis result is the output of the result transmission phase;

The step of detecting data at each process node in reverse order based on the analysis process of the network analysis system to obtain the operation status of the network analysis system includes:

Reading the output data of the data analysis phase, and if any, determining that the operation status is a result transmission failure;

Otherwise, read the input data of the data analysis phase, and if it exists, determine that the operation state is a data analysis failure;

Otherwise, the output data of the data collection phase is read, and if the output data does not exist, it is determined that the operating state is a data collection failure.

Optionally, according to the network analysis system operation and maintenance method of an embodiment of the present application, the data analysis phase sequentially includes an IMSI backfill process, a user identification process and a function analysis process;

The reading of the input data of the data analysis phase, and determining that the operation state is a data analysis failure if the input data exists, includes:

Reading the input data of the functional analysis process, and if the input data exists, determining that the running state is a functional analysis failure in the data analysis failure;

Otherwise, read the input data of the user identification process, and if it exists, determine that the running state is a user identification failure in the data analysis failure;

Otherwise, the input data of the IMSI backfilling process is read, and if it exists, the output data of the data collection phase is no longer read.

Optionally, according to the network analysis system operation and maintenance method of an embodiment of the present application, the data collection stage includes a parallel hard collection process and a soft collection process;

The step of reading the output data of the data collection phase, and if the output data does not exist, determining that the operation state is a data collection failure, includes:

The output data of the hard acquisition process is read. If the output data does not exist, it is determined that the operating state is that the hard acquisition interface of the data acquisition failure has no data. If the output data exists and the delay of the output data of the hard acquisition process is greater than the hard acquisition delay threshold, it is determined that the operating state is the hard acquisition delay of the data acquisition failure.

Otherwise, read the output data of the soft acquisition process, if it does not exist and the software applied by the soft acquisition process runs abnormally, determine that the running state is a soft acquisition running failure of data acquisition failure, if it does not exist and the software applied by the soft acquisition process runs normally, query the startup state of the base station;

If the opening state is not opening, it is determined that the MR with the running state of data acquisition failure is not opening.

Optionally, according to the network analysis system operation and maintenance method of one embodiment of the present application, the step of reading the output data of the soft mining process further includes:

If there is output data of the soft acquisition process, it is determined that the operating state is an IMSI backfill failure in the data acquisition failure.

Optionally, according to the network analysis system operation and maintenance method of one embodiment of the present application, the network analysis system includes a data acquisition platform, an FTP server and a data analysis platform;

The data acquisition platform is used to run the data acquisition phase, the data analysis platform is used to run the data analysis phase, and the FTP server is used to transfer the output data of the data acquisition platform to the data analysis platform.

In a second aspect, an embodiment of the present application further provides a network analysis system operation and maintenance platform, including a memory, a transceiver, and a processor:

A memory for storing a computer program; a transceiver for transmitting and receiving data under the control of the processor; and a processor for reading the computer program in the memory and performing the following operations:

Read the analysis results of the network analysis system;

If the analysis result exists, verifying the operation process of the corresponding analysis function in the network analysis system based on the analysis result to obtain the operation status of the network analysis system;

Otherwise, the data at each process node is detected in reverse order based on the analysis process of the network analysis system to obtain the operating status of the network analysis system.

Optionally, according to the network analysis system operation and maintenance platform of another embodiment of the present application, the analysis result includes analysis data corresponding to at least one analysis function;

The verifying the operation process of the corresponding analysis function in the network analysis system based on the analysis result to obtain the operation status of the network analysis system includes:

If analysis data corresponding to any analysis function exists in the analysis result, determining a functional operation state of any analysis function based on the analysis data;

Otherwise, based on the operation process of any of the analysis functions, locate the original data source corresponding to any of the analysis functions, and determine the functional operation status of any of the analysis functions based on the presence or absence and delay of the original data at the original data source.

Optionally, according to a network analysis system operation and maintenance platform of another embodiment of the present application, when any analysis function is a voice service KPI analysis, if analysis data corresponding to any analysis function exists in the analysis result, determining a functional operation state of any analysis function based on the analysis data includes:

If the analysis result contains KPI data of all interfaces corresponding to the voice service, it is determined that the voice service KPI analysis is running normally;

Otherwise, based on the operation process of any analysis function, locating the original data source corresponding to any analysis function, and determining the functional operation state of any analysis function based on the presence and delay of original data at the original data source, including:

If the KPI data of any interface corresponding to the voice service does not exist in the analysis result, locating the original data source of any interface;

If there is no original data at the original data source of any of the interfaces, determining that the function operation state of the voice service KPI analysis is that data of any of the interfaces is not reported;

If there is original data at the original data source of any of the interfaces, and the delay of the original data exceeds the preset delay threshold, then determining that the function operation state of the voice service KPI analysis is that the data delay of any of the interfaces exceeds the threshold;

If there is original data at the original data source of any of the interfaces and the delay of the original data does not exceed the preset delay threshold, it is determined that the functional operation status of the voice service KPI analysis is that any of the interfaces is abnormal due to an unknown reason.

Optionally, according to the network analysis system operation and maintenance platform of another embodiment of the present application, when any analysis function is MRO analysis, determining the functional operation state of any analysis function based on the analysis data includes:

determining a measurement query value based on analysis data corresponding to the MRO analysis in the analysis result;

If the measurement query value is 0, it is determined that the functional operation state of the MRO analysis is that the periodic MR is not turned on;

If the measurement query value is greater than 0 and less than the query threshold, it is determined that the function operation state of the MRO analysis is that the number of reporting base stations is too small, and the reporting base station is a base station that starts periodic MR;

If the measured query value is greater than or equal to the query threshold, it is determined that the MRO analysis is operating normally.

Optionally, according to the network analysis system operation and maintenance platform of another embodiment of the present application, the analysis process sequentially includes a data collection stage, a data analysis stage and a result transmission stage, and the analysis result is the output of the result transmission stage;

The step of detecting data at each process node in reverse order based on the analysis process of the network analysis system to obtain the operation status of the network analysis system includes:

Reading the output data of the data analysis phase, and if any, determining that the operation status is a result transmission failure;

Otherwise, read the input data of the data analysis phase, and if it exists, determine that the operation state is a data analysis failure;

Otherwise, the output data of the data collection phase is read, and if the output data does not exist, it is determined that the operating state is a data collection failure.

Optionally, according to the network analysis system operation and maintenance platform of another embodiment of the present application, the data analysis phase sequentially includes an IMSI backfill process, a user identification process and a function analysis process;

The reading of the input data of the data analysis phase, and determining that the operation state is a data analysis failure if the input data exists, includes:

Reading the input data of the functional analysis process, and if the input data exists, determining that the operation state is a functional analysis failure in the data analysis failure;

Otherwise, read the input data of the user identification process, and if it exists, determine that the running state is a user identification failure in the data analysis failure;

Otherwise, the input data of the IMSI backfilling process is read, and if it exists, the output data of the data collection phase is no longer read.

Optionally, according to the network analysis system operation and maintenance platform of another embodiment of the present application, the data collection stage includes a parallel hard collection process and a soft collection process;

The step of reading the output data of the data collection phase, and if the output data does not exist, determining that the operation state is a data collection failure, includes:

The output data of the hard acquisition process is read. If the output data does not exist, it is determined that the operating state is that the hard acquisition interface of the data acquisition failure has no data. If the output data exists and the delay of the output data of the hard acquisition process is greater than the hard acquisition delay threshold, it is determined that the operating state is the hard acquisition delay of the data acquisition failure.

Otherwise, read the output data of the soft acquisition process, if it does not exist and the software applied by the soft acquisition process runs abnormally, determine that the running state is a soft acquisition running failure of data acquisition failure, if it does not exist and the software applied by the soft acquisition process runs normally, query the startup state of the base station;

If the opening state is not opening, it is determined that the MR with the running state of data acquisition failure is not opening.

Optionally, according to the network analysis system operation and maintenance platform of another embodiment of the present application, the reading of the output data of the soft mining process further includes:

If there is output data of the soft acquisition process, it is determined that the operating state is an IMSI backfill failure in the data analysis failure.

Optionally, according to the network analysis system operation and maintenance platform of another embodiment of the present application, the network analysis system includes a data acquisition platform, an FTP server and a data analysis platform;

The data acquisition platform is used to run the data acquisition phase, the data analysis platform is used to run the data analysis phase, and the FTP server is used to transfer the output data of the data acquisition platform to the data analysis platform.

In a third aspect, an embodiment of the present application further provides a network analysis system operation and maintenance device, including:

A reading unit, used for reading the analysis result of the network analysis system;

The analysis unit is used to verify the operation process of the corresponding analysis function in the network analysis system based on the analysis result if the analysis result exists, and obtain the operation status of the network analysis system; otherwise, detect the data at each process node in reverse order based on the analysis process of the network analysis system to obtain the operation status of the network analysis system.

In a fourth aspect, an embodiment of the present application further provides a processor-readable storage medium, characterized in that the processor-readable storage medium stores a computer program, and the computer program is used to enable the processor to execute the steps of the network analysis system operation and maintenance method described in the first aspect as described above.

The embodiments of the present application provide a network analysis system operation and maintenance method, platform, device and storage medium. By reading the analysis results of the network analysis system and judging whether the analysis results exist or not, the operation status of the network analysis system is detected in two ways: reverse analysis based on the analysis results and forward analysis based on the analysis process. This realizes real-time monitoring of the operation status of the entire network analysis system, saves unnecessary operation and maintenance manpower costs, and improves the efficiency and accuracy of troubleshooting, thereby ensuring the continuous and stable operation of the network analysis system.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

FIG1 is a flow chart of a network analysis system operation and maintenance method provided in an embodiment of the present application;

FIG2 is a schematic diagram of an analysis process of a network analysis system provided by another embodiment of the present application;

FIG3 is a flow chart of a network analysis system operation and maintenance method provided by another embodiment of the present application;

FIG4 is a flow chart of a network analysis system operation and maintenance method provided by another embodiment of the present application;

5 is a schematic diagram of the structure of a network analysis system provided by another embodiment of the present invention;

6 is a schematic diagram of the structure of a network analysis system operation and maintenance platform provided in an embodiment of the present invention;

FIG. 7 is a schematic diagram of the structure of a network analysis system operation and maintenance device provided in an embodiment of the present invention.

DETAILED DESCRIPTION

The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

The network analysis system exposes some operation and maintenance problems during online operation, for example, the soft data acquisition is not enabled, too little soft data acquisition is enabled, the periodic measurement report data of the soft data acquisition is not enabled, the original data of the hard data acquisition has a long delay, and the disk space of the database or data warehouse tool is insufficient. These operation and maintenance problems will cause the network analysis system to be unstable. At present, the IT operation and maintenance of the system still adopts the manual operation and maintenance method. The operation and maintenance personnel are often exhausted due to various faults. It is particularly time-consuming and laborious to find the log of the system operation. It is like finding a needle in a haystack to find the fault location problem. The operation and maintenance efficiency is extremely low. The present invention introduces a network analysis system operation and maintenance method, which realizes the real-time monitoring of the operation status of the entire network analysis system and ensures the continuous and stable operation of the system.

FIG1 is a flow chart of a network analysis system operation and maintenance method provided by an embodiment of the present application. As shown in FIG1 , an embodiment of the present invention provides a network analysis system operation and maintenance method, including:

110. Read the analysis results of the network analysis system.

Specifically, the analysis result of the network analysis system, i.e., the final result obtained by the operation of the network analysis system, reflects the various indicator data obtained by the network monitoring and analysis, such as general KPI (Key Performance Indicator), business KPI, http (HyperText Transfer Protocol) indicator, MRO (Measurement Report Original), user information, abnormal events, residence, capacity data, etc. The network analysis system can set up a dedicated database for storing the analysis results of each analysis time period, and the specific analysis time period and analysis frequency can be set according to customer needs, which is not specifically limited in the embodiment of the present invention.

During the operation and maintenance process, the analysis results of the network analysis system can be read to determine whether analysis results are generated within the corresponding analysis time period, thereby determining whether there is an abnormality in the operation status of the network analysis system.

120. If there is an analysis result, verify the operation process of the corresponding analysis function in the network analysis system based on the analysis result to obtain the operation status of the network analysis system;

130. Otherwise, the data at each process node is detected in reverse order based on the analysis process of the network analysis system to obtain the operating status of the network analysis system.

The analysis function refers to the function currently executed by the network analysis system. The analysis function can be dynamically configured according to customer needs. In the network analysis system, one or more analysis functions can be run, and the operation of each analysis function will generate corresponding analysis data. For a single analysis function, the operation process of the analysis function is the execution process of the analysis function. For example, the operation process of the http analysis function is to analyze the collected http data to obtain the corresponding http indicators.

The analysis process refers to the entire data transmission process of the network analysis system from data collection, transmission, storage, big data analysis and processing to data application, which may specifically include but is not limited to raw data collection, IMSI (International Mobile Subscriber Identity) backfilling, user identification, KPI analysis, indicator evaluation, business analysis, resident analysis and capacity analysis, etc. Optionally, the network analysis system is a high-speed rail network analysis system, and the user identification refers to high-speed rail user identification.

In the case of reading the analysis results of the network analysis system, it is assumed that the analysis process of the network analysis system can be basically executed completely. The analysis results obtained can be matched to the operating process of the analysis function that outputs each analysis result. The information contained in the analysis results themselves can be used to reversely deduce whether there are any abnormalities in the operating process of each analysis function, such as whether the operating process of each analysis function has received the collected data required for the analysis, or whether there is a delay in the collected data, etc., thereby determining the operating status of the network analysis system.

In the case where the analysis results of the network analysis system cannot be read, the analysis process of the network analysis system may not be fully executed, resulting in the failure of the network analysis system to generate the corresponding analysis results. According to the analysis process of the network analysis system, the presence of data at each process node can be detected in reverse order. By judging whether there is an abnormality in the analysis process used to output the data at each process node, the operation status of the network analysis system can be determined. For example, after the network analysis system completes the analysis, it transmits the analysis results to a dedicated database for storage. In the case where the analysis results cannot be read from the dedicated database, the process after the analysis is completed and before the transmission can be regarded as a process node to read whether there is an analysis result here. If there is, it may be that the transmission process of the analysis result is abnormal. If not, it may be that the generation of the analysis result and the process before that are abnormal.

The method provided by the embodiment of the present invention detects the operating status of the network analysis system by reading the analysis results of the network analysis system and judging whether the analysis results exist or not, and divides the two methods into reverse analysis based on the analysis results and forward analysis based on the analysis process, thereby realizing real-time monitoring of the operating status of the entire network analysis system, saving unnecessary operation and maintenance manpower costs, and improving the efficiency and accuracy of troubleshooting, thereby ensuring the continuous and stable operation of the network analysis system.

Based on any of the above embodiments, the analysis result includes analysis data corresponding to at least one analysis function;

Correspondingly, step 120 verifies the operation process of the corresponding analysis function in the network analysis system based on the analysis result to obtain the operation status of the network analysis system, including:

If there is analysis data corresponding to any analysis function in the analysis result, determining the functional operation status of any analysis function based on the analysis data;

Otherwise, based on the operation process of any analysis function, locate the original data source corresponding to any analysis function, and determine the functional operation status of any analysis function based on the presence and delay of original data at the original data source.

Specifically, the analysis function may include but is not limited to general KPI, voice service KPI, http, MRO, user information, abnormal events, residence, capacity and map analysis functions, etc. The operation of each analysis function will generate corresponding analysis data.

When determining the operating status of the network analysis system based on the analysis results, the functional operating status of each analysis function can be detected separately. For any analysis function, first determine whether there is analysis data corresponding to the analysis function in the currently read analysis results:

If it exists, the functional operation status of the analysis function can be detected based on the corresponding analysis data. For example, when the analysis data is compliant, it is determined that the functional operation status is normal. For another example, when the analysis data exists, it can be directly determined that the functional operation status is normal.

If it does not exist, it is necessary to locate the original data source according to the operation process of the analysis function. The original data source referred to here is the transmission interface of the original data required to execute the analysis function. For example, the original data that the http analysis function needs to apply is http data, and the interface that transmits http data to the execution unit of the http analysis function is the original data source. On this basis, it can be determined whether the original data required by the corresponding analysis function exists at the original data source. If the original data exists, it can be further determined whether the original data itself has a delay, and then the cause of the abnormality of the analysis function is located as the functional operation status of the analysis function.

The method provided in the embodiment of the present invention performs reverse analysis based on the operating procedures of the analysis functions that output each analysis result, thereby enabling monitoring of the operating status of each analysis function in the network analysis system and improving the efficiency and accuracy of troubleshooting.

Based on any of the above embodiments, when any analysis function is a voice service KPI analysis, the operation process of the corresponding analysis function in the network analysis system is verified based on the analysis result to obtain the operation status of the network analysis system, including:

If the analysis results contain KPI data for all interfaces corresponding to the voice service, it is determined that the voice service KPI analysis is running normally;

If the KPI data of any interface corresponding to the voice service does not exist in the analysis results, locate the original data source of the interface;

If there is no original data at the original data source of the interface, the function operation status of determining the voice service KPI analysis is that the interface data is not reported;

If there is original data at the original data source of the interface, and the delay of the original data exceeds the preset delay threshold, the function operation status of the voice service KPI analysis is determined as the interface data delay exceeding the threshold;

If the original data exists at the original data source of the interface and the delay of the original data does not exceed the preset delay threshold, it is determined that the function operation status of the voice service KPI analysis is that the interface is abnormal due to an unknown reason.

In this embodiment, the voice service may be 4G (the 4th generation communication system) high-definition voice service VoLTE (Voice over Long-Term Evolution), or 5G (the 5th generation mobile networks) high-definition voice service VoNR (Voice over New Radio, voice service based on 5G) or other voice services, which are not specifically limited in this embodiment of the present invention. The KPI data of all interfaces corresponding to the voice service may include but are not limited to the KPI data of the mw interface, the gxrx interface and the sv interface. The preset delay threshold is the delay threshold of the original data of the interface set in advance, such as 2 hours, 5 hours, etc.

For the KPI analysis function of voice services, first check whether the KPI data of all interfaces corresponding to voice services exists in the analysis results obtained:

If KPI data for all interfaces exists, it can be determined that the voice service KPI analysis is running normally, that is, the function is running normally;

If the KPI data of at least one interface does not exist, it is necessary to locate the original data source for the interface that does not have KPI data. The original data source referred to here is the transmission interface of the original data required to determine the KPI data of the interface. For example, the original data to be applied to determine the KPI data of the mw interface is the mw data, and the interface that transmits the mw data to the mw interface is the original data source. On this basis, it can be determined whether the original data source has the original data required to determine the KPI data of the interface:

If the original data does not exist, it can be determined that the reason for the abnormality in the voice service KPI analysis is that the interface data is not reported, and the non-reporting of the interface data is used as the function operation status of the voice service KPI analysis;

If the original data exists, it can be further determined whether the delay of the original data exceeds the preset delay threshold. If the delay of the original data exceeds the preset threshold, it can be determined that the reason for the abnormal voice service KPI analysis is that the delay of the original data of the interface exceeds the threshold. If the delay of the original data does not exceed the preset threshold, the unknown cause abnormality is used as the functional operation status of the voice service KPI analysis, so that the operation and maintenance personnel can further analyze the cause of the abnormal voice service KPI.

Based on any of the above embodiments, when any of the analysis functions is MRO analysis, determining the functional operation state of any of the analysis functions based on the analysis data includes:

Determine the measurement query value based on the analysis data corresponding to the MRO analysis in the analysis results;

If the measurement query value is 0, it is determined that the functional operation status of the MRO analysis is that the periodic MR is not turned on;

If the measurement query value is greater than 0 and less than the query threshold, it is determined that the function operation state of the MRO analysis is that the number of reporting base stations is too small, and the reporting base station is a base station that starts periodic MR (Measurement Report);

If the measured query value is greater than or equal to the query threshold, it is determined that the MRO analysis is operating normally.

In this embodiment, the analysis data corresponding to the MRO analysis can reflect the quality information of the network detected by the network analysis system, such as RSRP (Reference Signal Receiving Power) reflecting the network signal strength, etc. The measurement query value obtained based on the analysis data corresponding to the MRO analysis reflects the reporting status of the MR.

You can pre-set the query threshold and compare the measured query value with the query threshold:

When the measurement query value is 0, it can be determined that the periodic MR is not enabled, and this is set as the functional operation state of the MRO analysis; when the measurement query value is not 0 and is less than the query threshold, it can be determined that although the periodic MR is enabled, the number of base stations available for the periodic MR to execute does not meet the requirements, so the functional operation state of the MRO analysis is set as too few reported base stations;

When the measurement query value is not 0 and is greater than or equal to the query threshold, it can be determined that the periodic MR is not only turned on but also the number of base stations for periodic MR execution meets the requirements, that is, the MRO analysis function is running normally. At this time, the normal operation of the MRO analysis can be set as the functional operation state of the MRO analysis.

When it is determined that the function operation status of the MRO analysis is that the periodic MR is not turned on or the number of reporting base stations is too small, the operation and maintenance platform can send its function operation status to the operation and maintenance personnel. The operation and maintenance personnel can turn on the periodic MR function or deploy more reporting base stations based on the received abnormal notification, thereby improving the efficiency of field configuration deployment. Based on any of the above embodiments, FIG2 shows a schematic diagram of the analysis process of the network analysis system provided by this embodiment. As shown in FIG2, the analysis process sequentially includes a data collection stage 210, a data analysis stage 220 and a result transmission stage 230, and the analysis result is the output of the result transmission stage 230;

Correspondingly, step 130, based on the analysis process of the network analysis system, detects the data at each process node in reverse order to obtain the operation status of the network analysis system, including:

Read the output data of the data analysis stage 220, and if it exists, determine that the operation status is a result transmission failure;

Otherwise, read the input data of the data analysis stage 220, and if it exists, determine that the operation status is a data analysis failure;

Otherwise, the output data of the data collection stage 210 is read, and if it does not exist, it is determined that the operating state is a data collection failure.

In this embodiment, after completing data collection, the network analysis system stores and analyzes the various types of data collected to achieve the final application presentation. Its analysis process includes a data collection stage 210, a data analysis stage 220, and a result transmission stage 230 in sequence, wherein the output data of one stage is the input data of the next stage. Further, the data collection stage 210 completes the collection of raw data through software and hardware, and the output data of the data collection stage 210 and the input data of the data analysis stage 220 are both the raw data collected. The data analysis stage 220 analyzes the raw data and obtains analysis data, and the output data of the data analysis stage 220 and the input data of the result transmission stage 230 are both analysis data, and the output data of the result transmission stage 230 is the final result obtained by the operation of the network analysis system, i.e., the analysis result. It should be noted that if the result transmission result 230 undertakes the data transmission work without rewriting the data, the analysis data is the analysis result.

In the case where the analysis results of the network analysis system cannot be read, the presence of data at the nodes of each stage can be detected in reverse order according to the analysis process, and the abnormal reason for the absence of output data in the result transmission stage 230 can be determined. First, the output data of the data analysis stage 220 is detected:

If it exists, that is, the data collection stage 210 and the data analysis stage 220 are operating normally, it can be directly determined that there is an abnormality in the result transmission stage 230, and the result transmission failure is regarded as the operating state of the network analysis system;

If not, that is, there may be an abnormality in the data collection stage 210 or the data analysis stage 220, then read the input data of the data analysis stage 220 to determine the reason why there is no output in the data analysis stage 220:

If so, it can be determined that the data collection stage 210 is operating normally, and there is an abnormality in the data analysis stage 220, and the data analysis failure is regarded as the operating state of the network analysis system;

If not, it can be determined that there is an abnormality in the data collection stage 210, and the data collection failure is regarded as the operating state of the network analysis system.

The method provided by the embodiment of the present invention detects the data at each process node in reverse order based on the analysis process, and determines whether there is an abnormality in the analysis process used to output the data at each process node, thereby obtaining the operating status of the network analysis system, thereby realizing the monitoring of the operating status of each stage of the network analysis system and ensuring the continuous and stable operation of the system.

Based on any of the above embodiments, the data analysis phase sequentially includes an IMSI backfill process, a user identification process, and a function analysis process;

Accordingly, in step 130, the input data of the data analysis phase is read, and if it exists, the operation state is determined to be a data analysis failure, including:

Read the input data of the functional analysis process, and if it exists, determine that the running state is a functional analysis fault in the data analysis fault;

Otherwise, read the input data of the user identification process, and if it exists, determine that the running state is a user identification failure in the data analysis failure;

Otherwise, read the input data of the IMSI backfill process, and if it exists, no longer read the output data of the data collection phase.

Specifically, IMSI is an International Mobile Subscriber Identity, which is a symbol for operators to distinguish users. The IMSI backfill process refers to the process of converting TMSI (Temporary Mobile Subscriber Identity) information into IMSI.

For the data analysis stage, when detecting the running status of the data analysis stage, it can be further refined to detect the running status of the IMSI backfill process, user identification process and function analysis process executed sequentially in the data analysis stage at the process level. Considering that the output data of a process in the data analysis stage is the input data of the next process, the presence or absence of data at each process node can be detected in reverse order according to the running order of each process in the data analysis stage to determine the specific cause of the abnormality in the data analysis stage 220. First, the input data of the function analysis process is detected and read:

If it exists, it can be directly determined that there is an abnormality in the functional analysis process, and the operating status is determined to be a functional analysis failure in the data analysis failure;

If it does not exist, there may be an abnormality in the user identification process or the data collection stage. At this time, the input data of the user identification process should be read first: if it exists, it can be determined that the operating status is a user identification failure in the data analysis failure; if it does not exist, there may be an abnormality in the data collection stage. At this time, the input data of the IMSI backfill process is further read. If it exists, it means that the data collection stage executed before the IMSI backfill process is normal, and the output data of the data collection stage can no longer be read. In addition, considering that it is basically impossible for the IMSI backfill process to have problems when the collected data is obtained, the operation and maintenance monitoring process can be directly ended at this time.

Furthermore, when the determined operating status is a function analysis failure or a user identification failure in a data analysis failure, a log analysis process may be entered to further locate the specific cause of the failure.

Based on any of the above embodiments, the data collection stage 210 includes a parallel hard collection process and a soft collection process;

Accordingly, in step 130, the output data of the data collection phase is read. If the output data does not exist, the operation state is determined to be a data collection failure, including:

Read the output data of the hard sampling process. If it does not exist, it is determined that the operating state is that the hard sampling interface has no data due to data acquisition failure. If it exists and the delay of the output data of the hard sampling process is greater than the hard sampling delay threshold, it is determined that the operating state is that the hard sampling delay due to data acquisition failure.

Otherwise, read the output data of the soft acquisition process. If it does not exist and the software applied by the soft acquisition process runs abnormally, determine that the running status is a soft acquisition operation failure of data acquisition failure. If it does not exist and the software applied by the soft acquisition process runs normally, query the startup status of the base station;

If the opening state is not opened, it is determined that the MR whose operating state is data collection failure is not opened.

Specifically, for the data collection stage, when detecting the running status of the data collection stage, it can be further refined to perform process-level running status detection on the parallel hard collection process and soft collection process in the data collection stage. The hard collection here refers to the collection of S1-MME, S1-U http, GM/Mw/Mg/Mi/Mj/ISC, Rx, Sv and other interfaces, and the soft collection refers to the collection of Uu, X2, UE_MR, CELL_MR and other interfaces.

It should be noted that, although the hard acquisition process and the soft acquisition process are in parallel in the data acquisition stage, the input data of the IMSI backfill process is stored in the hard acquisition interface. Therefore, when the embodiment of the present invention detects the data acquisition stage, it gives priority to detecting the anomalies of the hard acquisition process, and performs the soft acquisition process detection when the hard acquisition process detection is incorrect, thereby further improving the efficiency of fault location.

Specifically, when detecting the hard sampling process and the soft sampling process, it is necessary to pay attention not only to the existence of the collected data, but also to pay further attention to whether the delay of the output data meets the requirements when there is output data. Specifically, the delay of the hard sampling data can be compared with the preset hard sampling delay threshold, and the delay of the soft sampling data can be compared with the preset soft sampling delay threshold. Here, the values of the hard sampling delay threshold and the soft sampling delay threshold can be the same or different.

Based on any of the above embodiments, the output data of the soft mining process is read, and then the following steps are further included:

If there is output data of the soft acquisition process, it is determined that the operating status is an IMSI backfill failure in the data acquisition failure.

Specifically, for the running status detection in the data collection stage, first detect and read the output data of the hard collection process:

If it does not exist, it can be directly determined that there is an abnormality in the hard mining process, and it can be determined that the hard mining interface with the running status of data collection failure has no data;

If it exists, it can be further determined that the delay of the output data is greater than the hard sampling delay threshold. If it is greater than the threshold, it can be determined that the operating status is a hard sampling delay of a data collection failure. Otherwise, it is confirmed that the hard sampling process is running normally, and the output data of the soft sampling process is read instead: If it exists, it can be determined that the operating status is an IMSI backfill failure in a data collection failure;

If it does not exist and the software of the soft acquisition process application runs abnormally, it can be determined that the soft acquisition operation failure with the operating status as data acquisition failure is true. If it does not exist and the software of the soft acquisition process application runs normally, further query the startup status of the base station: if the startup status is not turned on, it can be determined that the MR with the operating status as data acquisition failure is not turned on.

Furthermore, the hard acquisition process includes hard acquisition data of the shared platform, hard acquisition filtering data and hard acquisition data, wherein the hard acquisition filtering data is generated by the hard acquisition filtering script. The soft acquisition process includes Sca (Signaling convergence adapter) parsing the soft acquisition data through nssp software.

Based on any of the above embodiments, as shown in FIG3 and FIG4 , the specific implementation of the network analysis system operation and maintenance method provided by the embodiment of the present invention is as follows:

Read the analysis results of the network analysis system. For example, you can use the following command to achieve:

Select*from volte_gt_cell_ana_base60 where

to_char(ttime,’yyyy-mm-dd hh24’)＝’2019-01-15 14’;

There are two situations:

(I) If there are analysis results, the analysis function verification process is entered, that is, the operation process of the corresponding analysis function in the network analysis system is verified based on the analysis results, including the following parallel processes:

1. Enter the voice service KPI analysis process:

Read the KPI data of all interfaces corresponding to the voice service in the analysis results. For example, you can use the following command to do this:

select sum(case when imsiregatt>0 then 1 else 0 end)volte_mw,

sum(case when wireless>0 then 1 else 0 end)volte_gxrx,

sum(case when srvccsucc>0 then 1 else 0 end)volte_sv

from volte_gt_cell_ana_base60 where and

to_char(ttime,'yyyy-mm-dd hh24')=='2019-01-15 14';

If the KPI data of the mw, grxr, and sv ports all exist, for example, volte_mw, volte_gxrx, and volte_sv are all greater than 0, it can be determined that the voice service KPI analysis function is running normally;

Otherwise, that is, the KPI data of at least one interface does not exist, for example, the KPI data of the mw port does not exist, then read the original data at the original data source of the mw port, for example, the following command can be used to achieve it:

hdfs dfs-du –sh

/datang2/TB_XDR_IFC_GMMWMGMIMJISC/20190116//06;

If the original data does not exist, it can be determined that the function operation status of the voice service KPI analysis is that the mw data is not reported;

If there is original data, it is further determined whether the delay of the original data exceeds the preset delay threshold. If so, it can be determined that the function operation status of the voice service KPI analysis is that the mw port data delay exceeds the threshold; if not, it can be determined that the function operation status is that the mw port is abnormal due to an unknown reason.

2. Enter the MRO analysis process:

Read whether there is analysis data corresponding to MRO analysis in the analysis results and determine the measurement query value. This can be achieved through the following command:

select count(distinct(case when avgrsrpx<0 then cellid else nullend))/count(distinct cellid)

from mr_gt_cell_ana_base60 where to_char(ttime,'yyyy-mm-dd hh24')＝'2017-04-27 12'and dir_state>=0;

If the measurement query value is 0, it can be determined that the functional operation status of the MRO analysis is that the periodic MR is not turned on;

If the measurement query value is greater than 0 and less than the query threshold, it can be determined that the function operation state of the MRO analysis is that the number of reporting base stations is too small, and the reporting base station is a base station that starts periodic MR.

3. Read the analysis results to see if there is analysis data corresponding to http analysis. This can be achieved through the following command:

select * from cell_hour_http

where to_char(ttime,'yyyy-mm-dd hh24')＝'2017-04-27 12';

If the analysis data corresponding to the http analysis exists, it can be determined that the http analysis function is running normally;

Otherwise, further read the original data from the original data source of http analysis:

If there is no original data, it can be determined that the functional operation status of the http analysis is that the http data is not reported;

If there is original data, it is further determined whether the delay of the original data exceeds the preset delay threshold. If so, it can be determined that the functional operation status of the http analysis is that the http data delay exceeds the threshold. If not, it can be determined that the functional operation status is that the http analysis is abnormal due to unknown reasons.

4. Enter the abnormal event analysis process.

5. Enter the resident analysis process.

6. Enter the capacity analysis process.

7. Enter the map analysis process.

(ii) If the analysis result does not exist, the data at each process node is detected in reverse order according to the analysis process of the network analysis system, and the output data of the data analysis phase is read first, which can be achieved, for example, by the following command:

Select*from sxresult620.volte_gt_cell_ana_base60 where dt＝and h＝;

If it exists, it can be determined that the running state is a result transmission failure; if it does not exist, read the input data of the functional analysis process, for example, by the following command:

Select*from sxresult620.tb_xdr_ifc_s1mme_new where dt=and h=;

If it exists, it can be determined that the running state is a function analysis failure in the data analysis failure; if it does not exist, further read the input data of the user identification process, for example, it can be achieved by the following command:

Select*from sxresult620.volte_gt_busi_user_data where dt＝and h＝;

If it exists, it can be determined that the running state is a user identification failure in the data analysis failure; if it does not exist, further read the input data of the IMSI backfill process, for example, it can be achieved by the following command:

Select*from sxresult620.tb_xdr_ifc_uu where dt＝and h＝;

If it exists, the operation and maintenance process ends; if it does not exist, read the output data of the data collection phase, for example, through the following command:

Select*from sxinit620.tb_xdr_ifc_uu where dt＝and h＝;

Select*from sxinit620.tb_xdr_ifc_s1mme dt=and h=;

If there is no output data of the hard sampling process, it can be determined that the hard sampling interface with the running status of data collection failure has no data; if there is, it is further determined whether the delay of the hard sampling data exceeds the preset delay threshold. If it exceeds, it can be determined that the running status is the hard sampling delay of data collection failure. If not, the output data of the hard sampling process is further read:

If it exists, it can be determined that the running status is the IMSI backfill failure in the data collection failure; if it does not exist, it is further determined whether the software application of the soft collection process is running normally. If it is running abnormally, it can be determined that the running status is the soft collection running failure of the data collection failure. If it is running normally, the startup status of the base station can be queried:

If the on state is off, it can be determined that the MR whose operating state is data acquisition failure is not on.

Based on any of the above embodiments, the network analysis system includes a data collection platform, an FTP (File Transfer Protocol) server and a data analysis platform;

The data collection platform is used to run the data collection phase, the data analysis platform is used to run the data analysis phase, and the FTP server is used to transfer the output data of the data collection platform to the data analysis platform.

In this embodiment, the network analysis system includes a data collection platform for running the data collection phase, an FTP server and a data analysis platform for running the data analysis phase. The network analysis system can be deployed on a 4A (Authentication, Account, Authorization, Audit) management and control platform.

Considering that the 4A management and control platform is the identity service center of the information system, it has high security requirements and cannot use TCP/IP (Transfer Controln Protocol/Internet Protocol), UDP (User Datagram Protocol), Socket and other protocols. Therefore, there is a problem of communication difficulty between the data acquisition platform and the data analysis platform. In order to overcome this problem, the embodiment of the present invention uses an FTP server as a transfer platform to transfer the output data of the data acquisition platform to the data analysis platform, thereby realizing mutual communication between the data acquisition platform and the data analysis platform, and by compressing the information communicated to a minimum, the memory consumption is greatly reduced, avoiding the impact on the operation of the network analysis system itself.

Further, FIG. 5 shows an implementation of the network analysis system provided by an embodiment of the present invention. As shown in FIG. 5 , the network analysis system includes an oozie platform 510, an FTP server 520, a Hadoop cluster 530, and a Web and oracle server 540, wherein the data acquisition platform may be the oozie platform 510. The oozie platform is an open source workflow scheduling engine for the Hadoop platform, which can collect the status of each analysis process of the network analysis system, and perform point tracking in each analysis process, and regularly detect the point tracking data at each process node. The data analysis platform may be a Hadoop cluster 530. Hadoop is an open source framework written in Java language, which stores massive data on a distributed server cluster and runs distributed analysis applications. The Hadoop cluster can transmit the analysis results to the Web and oracle server 540 for storage and final application display.

Based on any of the above embodiments, the calculation method of the analysis data corresponding to any analysis function of the network analysis system abandons the traditional SQL (Structured Query Language) calculation method and adopts the expression calculation method. During the operation of the network analysis system, the operation and maintenance personnel can dynamically modify the calculation method corresponding to each analysis function as needed at any time, thereby lowering the usage threshold for the operation and maintenance personnel.

Based on any of the above embodiments, after obtaining the operating status of the network analysis results, the operating status can also be fed back to the operation and maintenance personnel in real time so that the operation and maintenance personnel can discover problems and faults in time, thereby changing the system operation and maintenance mode from passive response to active and targeted troubleshooting.

Furthermore, the specific feedback method may be to send the analysis results of the running status to the operation and maintenance personnel after each analysis, or to send the analysis results of the running status to the operation and maintenance personnel only when there is an abnormality in the running status. The sending method may be email or other communication methods.

The analysis results can also be presented in a pre-set format, which can be in the form of a table or other file format. Abnormal operating conditions can be marked in red, yellow or other highlighted ways, so that operation and maintenance personnel can clearly see the abnormal operating status and take corresponding measures in time.

The method provided in the embodiment of the present invention, by feeding back the analysis results of the operating status to the operation and maintenance personnel and presenting them in the form of a file, overcomes the problem that the traditional manual operation and maintenance method cannot meet the business development needs of presenting the analysis results, helps the operation and maintenance personnel to discover problems and faults in a timely manner, and further improves the response efficiency of the operation and maintenance services.

Based on any of the above embodiments, FIG6 is a schematic diagram of the structure of a network analysis system operation and maintenance platform provided in an embodiment of the present invention. As shown in FIG6 , the network analysis system operation and maintenance platform includes a memory 620, a transceiver 600, and a processor 610:

The memory 620 is used to store computer programs; the transceiver 600 is used to send and receive data under the control of the processor; the processor 610 is used to read the computer program in the memory and perform the following operations:

Read the analysis results of the network analysis system;

If the analysis result exists, verifying the operation process of the corresponding analysis function in the network analysis system based on the analysis result to obtain the operation status of the network analysis system;

Otherwise, the data at each process node is detected in reverse order based on the analysis process of the network analysis system to obtain the operating status of the network analysis system.

The transceiver 600 is used to receive and send data under the control of the processor 610.

In FIG. 6 , the bus architecture may include any number of interconnected buses and bridges, specifically one or more processors represented by processor 610 and various circuits of memory represented by memory 620 are linked together. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. The bus interface provides an interface. The transceiver 600 may be a plurality of components, namely, a transmitter and a receiver, providing a unit for communicating with various other devices on a transmission medium, which transmission medium includes a wireless channel, a wired channel, an optical cable, and other transmission media. The processor 610 is responsible for managing the bus architecture and general processing, and the memory 620 may store data used by the processor 610 when performing operations.

The processor 610 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or a complex programmable logic device (CPLD). The processor may also adopt a multi-core architecture.

It should be noted here that the above-mentioned device provided in the embodiment of the present invention can implement all the method steps implemented in the above-mentioned method embodiment, and can achieve the same technical effect. The parts and beneficial effects that are the same as the method embodiment in this embodiment will not be described in detail here.

Optionally, according to the network analysis system operation and maintenance platform of another embodiment of the present application, the analysis result includes analysis data corresponding to at least one analysis function;

Verify the operation process of the corresponding analysis function in the network analysis system based on the analysis results, and obtain the operation status of the network analysis system, including:

If there is analysis data corresponding to any analysis function in the analysis result, determining the functional operation status of any analysis function based on the analysis data;

Otherwise, based on the operation process of any analysis function, locate the original data source corresponding to any analysis function, and determine the functional operation status of any analysis function based on the presence and delay of original data at the original data source.

Optionally, according to a network analysis system operation and maintenance platform of another embodiment of the present application, when any analysis function is a voice service KPI analysis, if analysis data corresponding to any analysis function exists in the analysis result, determining the functional operation status of any analysis function based on the analysis data includes:

If the analysis results contain KPI data for all interfaces corresponding to the voice service, it is determined that the voice service KPI analysis is running normally;

Otherwise, based on the operation process of any analysis function, locate the original data source corresponding to any analysis function, and determine the functional operation status of any analysis function based on the presence and delay of the original data at the original data source, including:

If the KPI data of any interface corresponding to the voice service does not exist in the analysis results, locate the original data source of any interface;

If there is no original data at the original data source of any interface, it is determined that the function operation status of the voice service KPI analysis is that any interface data is not reported;

If there is raw data at the raw data source of any interface, and the delay of the raw data exceeds the preset delay threshold, the function operation status of the voice service KPI analysis is determined as the data delay of any interface exceeds the threshold;

If the original data exists at the original data source of any interface and the delay of the original data does not exceed the preset delay threshold, it is determined that the function operation status of the voice service KPI analysis is that any interface is abnormal due to an unknown reason.

Optionally, according to a network analysis system operation and maintenance platform of another embodiment of the present application, when any analysis function is MRO analysis, determining the functional operation state of any analysis function based on the analysis data includes:

Determine the measurement query value based on the analysis data corresponding to the MRO analysis in the analysis results;

If the measurement query value is 0, it is determined that the functional operation status of the MRO analysis is that the periodic MR is not turned on;

If the measurement query value is greater than 0 and less than the query threshold, it is determined that the function operation state of the MRO analysis is that the number of reporting base stations is too small, and the reporting base station is a base station that starts periodic MR;

If the measured query value is greater than or equal to the query threshold, it is determined that the MRO analysis is operating normally.

Optionally, according to the network analysis system operation and maintenance platform of another embodiment of the present application, the analysis process sequentially includes a data collection stage, a data analysis stage and a result transmission stage, and the analysis result is the output of the result transmission stage;

Based on the analysis process of the network analysis system, the data at each process node is detected in reverse order to obtain the operating status of the network analysis system, including:

Read the output data of the data analysis phase, and if it exists, determine that the operation status is a result transmission failure;

Otherwise, read the input data of the data analysis phase, and if it exists, determine that the operation status is a data analysis failure;

Otherwise, the output data of the data collection phase is read, and if it does not exist, the operating state is determined to be a data collection failure.

Optionally, according to the network analysis system operation and maintenance platform of another embodiment of the present application, the data analysis phase sequentially includes an IMSI backfill process, a user identification process and a function analysis process;

Read the input data of the data analysis phase. If it exists, determine that the operation status is a data analysis failure, including:

Read the input data of the functional analysis process, and if it exists, determine that the running state is a functional analysis fault in the data analysis fault;

Otherwise, read the input data of the user identification process, and if it exists, determine that the running state is a user identification failure in the data analysis failure;

Otherwise, read the input data of the IMSI backfill process, and if it exists, no longer read the output data of the data collection phase.

Optionally, according to the network analysis system operation and maintenance platform of another embodiment of the present application, the data collection stage includes a parallel hard collection process and a soft collection process;

Read the output data of the data collection phase. If it does not exist, determine that the operating status is a data collection failure, including:

Read the output data of the hard sampling process. If it does not exist, it is determined that the operating state is that the hard sampling interface has no data due to data acquisition failure. If it exists and the delay of the output data of the hard sampling process is greater than the hard sampling delay threshold, it is determined that the operating state is that the hard sampling delay due to data acquisition failure.

Otherwise, read the output data of the soft acquisition process. If it does not exist and the software applied by the soft acquisition process runs abnormally, determine that the running status is a soft acquisition operation failure of data acquisition failure. If it does not exist and the software applied by the soft acquisition process runs normally, query the startup status of the base station;

If the opening state is not opened, it is determined that the MR whose operating state is data collection failure is not opened.

Optionally, according to another embodiment of the network analysis system operation and maintenance platform of the present application, the output data of the soft acquisition process is read, and then the following is further included:

If there is output data of the soft acquisition process, the operating status is determined to be an IMSI backfill failure in the data analysis failure.

Optionally, according to the network analysis system operation and maintenance platform of another embodiment of the present application, the network analysis system includes a data collection platform, an FTP server and a data analysis platform;

The data collection platform is used to run the data collection phase, the data analysis platform is used to run the data analysis phase, and the FTP server is used to transfer the output data of the data collection platform to the data analysis platform.

Based on any of the above embodiments, FIG. 7 is a schematic diagram of the structure of a network analysis system operation and maintenance device provided in an embodiment of the present invention. As shown in FIG. 7 , the network analysis system operation and maintenance device includes a reading unit 710 and an analyzing unit 720;

The reading unit 710 is used to read the analysis results of the network analysis system;

The analysis unit 720 is used to verify the operation process of the corresponding analysis function in the network analysis system based on the analysis result if there is an analysis result, and obtain the operation status of the network analysis system; otherwise, detect the data at each process node in reverse order based on the analysis process of the network analysis system to obtain the operation status of the network analysis system.

It should be noted here that the above-mentioned device provided in the embodiment of the present invention can implement all the method steps implemented in the above-mentioned method embodiment, and can achieve the same technical effect. The parts and beneficial effects that are the same as those in the method embodiment will not be described in detail here.

Based on any of the above embodiments, the analysis result includes analysis data corresponding to at least one analysis function;

In the analysis unit 720, the result verification subunit is used to:

If there is analysis data corresponding to any analysis function in the analysis result, determining the functional operation status of any analysis function based on the analysis data;

Otherwise, based on the operation process of any analysis function, locate the original data source corresponding to any analysis function, and determine the functional operation status of any analysis function based on the presence and delay of original data at the original data source.

It should be noted here that the above-mentioned device provided in the embodiment of the present invention can implement all the method steps implemented in the above-mentioned method embodiment, and can achieve the same technical effect. The parts and beneficial effects that are the same as those in the method embodiment will not be described in detail here.

Based on any of the above embodiments, when any of the analysis functions is voice service KPI analysis, the result verification subunit is specifically used for:

If the analysis results contain KPI data for all interfaces corresponding to the voice service, it is determined that the voice service KPI analysis is running normally;

If the KPI data of any interface corresponding to the voice service does not exist in the analysis results, locate the original data source of any interface;

If there is no original data at the original data source of any interface, it is determined that the function operation status of the voice service KPI analysis is that any interface data is not reported;

If there is raw data at the raw data source of any interface, and the delay of the raw data exceeds the preset delay threshold, the function operation status of the voice service KPI analysis is determined as the data delay of any interface exceeds the threshold;

If the original data exists at the original data source of any interface and the delay of the original data does not exceed the preset delay threshold, it is determined that the function operation status of the voice service KPI analysis is that any interface is abnormal due to an unknown reason.

It should be noted here that the above-mentioned device provided in the embodiment of the present invention can implement all the method steps implemented in the above-mentioned method embodiment, and can achieve the same technical effect. The parts and beneficial effects that are the same as the method embodiment in this embodiment will not be described in detail here.

Based on any of the above embodiments, when any analysis function is MRO analysis, the result verification subunit is specifically used for:

Determine the measurement query value based on the analysis data corresponding to the MRO analysis in the analysis results;

If the measurement query value is 0, it is determined that the functional operation status of the MRO analysis is that the periodic MR is not turned on;

If the measurement query value is greater than 0 and less than the query threshold, it is determined that the function operation state of the MRO analysis is that the number of reporting base stations is too small, and the reporting base station is a base station that starts periodic MR;

If the measured query value is greater than or equal to the query threshold, it is determined that the MRO analysis is operating normally.

It should be noted here that the above-mentioned device provided in the embodiment of the present invention can implement all the method steps implemented in the above-mentioned method embodiment, and can achieve the same technical effect. The parts and beneficial effects that are the same as those in the method embodiment will not be described in detail here.

Based on any of the above embodiments, the analysis process sequentially includes a data collection stage, a data analysis stage and a result transmission stage, and the analysis result is the output of the result transmission stage;

In the analysis unit 720, the process verification subunit is used to:

Read the output data of the data analysis phase, and if it exists, determine that the operation status is a result transmission failure;

Otherwise, read the input data of the data analysis phase, and if it exists, determine that the operation status is a data analysis failure;

Otherwise, the output data of the data collection phase is read, and if it does not exist, the operating state is determined to be a data collection failure.

It should be noted here that the above-mentioned device provided in the embodiment of the present invention can implement all the method steps implemented in the above-mentioned method embodiment, and can achieve the same technical effect. The parts and beneficial effects that are the same as the method embodiment in this embodiment will not be described in detail here.

Based on any of the above embodiments, the data analysis phase sequentially includes an IMSI backfill process, a user identification process, and a function analysis process;

The process verification subunit is used to:

Read the input data of the functional analysis process, and if it exists, determine that the running state is a functional analysis fault in the data analysis fault;

Otherwise, read the input data of the user identification process, and if it exists, determine that the running state is a user identification failure in the data analysis failure;

Otherwise, read the input data of the IMSI backfill process, and if it exists, no longer read the output data of the data collection phase.

It should be noted here that the above-mentioned device provided in the embodiment of the present invention can implement all the method steps implemented in the above-mentioned method embodiment, and can achieve the same technical effect. The parts and beneficial effects that are the same as the method embodiment in this embodiment will not be described in detail here.

Based on any of the above embodiments, the data collection stage includes a parallel hard collection process and a soft collection process;

The process verification subunit is used to:

Read the output data of the hard acquisition process. If it does not exist, determine that the operating status is the hard acquisition interface abnormality with unknown reasons of data acquisition failure. If it exists and the delay of the output data of the hard acquisition process is greater than the hard acquisition delay threshold, determine that the operating status is the hard acquisition delay of data acquisition failure.

Otherwise, read the output data of the soft acquisition process. If it does not exist and the software applied by the soft acquisition process runs abnormally, determine that the running status is a soft acquisition operation failure of data acquisition failure. If it does not exist and the software applied by the soft acquisition process runs normally, query the startup status of the base station;

If the opening state is not opened, it is determined that the MR whose operating state is data collection failure is not opened.

It should be noted here that the above-mentioned device provided in the embodiment of the present invention can implement all the method steps implemented in the above-mentioned method embodiment, and can achieve the same technical effect. The parts and beneficial effects that are the same as those in the method embodiment will not be described in detail here.

Based on any of the above embodiments, the process verification subunit is further used for:

If there is output data of the soft acquisition process, it is determined that the operating status is an IMSI backfill failure in the data acquisition failure.

It should be noted here that the above-mentioned device provided in the embodiment of the present invention can implement all the method steps implemented in the above-mentioned method embodiment, and can achieve the same technical effect. The parts and beneficial effects that are the same as the method embodiment in this embodiment will not be described in detail here.

Based on any of the above embodiments, the network analysis system includes a data collection platform, an FTP server and a data analysis platform;

The data collection platform is used to run the data collection phase, the data analysis platform is used to run the data analysis phase, and the FTP server is used to transfer the output data of the data collection platform to the data analysis platform.

It should be noted that the division of units in the embodiments of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation. In addition, each functional unit in each embodiment of the present application may be integrated into a processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a processor-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) or a processor (processor) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

On the other hand, an embodiment of the present application further provides a processor-readable storage medium, wherein the processor-readable storage medium stores a computer program, wherein the computer program is used to enable the processor to execute the methods provided in the above embodiments, including:

Read the analysis results of the network analysis system;

If the analysis result exists, verifying the operation process of the corresponding analysis function in the network analysis system based on the analysis result to obtain the operation status of the network analysis system;

Otherwise, the data at each process node is detected in reverse order based on the analysis process of the network analysis system to obtain the operating status of the network analysis system.

The processor-readable storage medium can be any available medium or data storage device that can be accessed by the processor, including but not limited to magnetic storage (such as floppy disks, hard disks, magnetic tapes, magneto-optical disks (MO), etc.), optical storage (such as CD, DVD, BD, HVD, etc.), and semiconductor storage (such as ROM, EPROM, EEPROM, non-volatile memory (NANDFLASH), solid-state drive (SSD)), etc.

Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) that contain computer-usable program code.

The present application is described with reference to the flowchart and/or block diagram of the method, device (system), and computer program product according to the embodiment of the present application. It should be understood that each process and/or box in the flowchart and/or block diagram, and the combination of the process and/or box in the flowchart and/or block diagram can be implemented by computer executable instructions. These computer executable instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for implementing the function specified in one process or multiple processes in the flowchart and/or one box or multiple boxes in the block diagram.

These processor-executable instructions may also be stored in a processor-readable memory that can direct a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the processor-readable memory produce a product including an instruction device that implements the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

These processor-executable instructions may also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and 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 (16)

1. A network analysis system operation and maintenance method, characterized by comprising: Read the analysis results of the network analysis system; If the analysis result exists, verifying the operation process of the corresponding analysis function in the network analysis system based on the analysis result to obtain the operation status of the network analysis system; Otherwise, based on the analysis process of the network analysis system, the data at each process node is detected in reverse order to obtain the operation status of the network analysis system; The analysis result includes analysis data corresponding to at least one analysis function; The verifying the operation process of the corresponding analysis function in the network analysis system based on the analysis result to obtain the operation status of the network analysis system includes: If analysis data corresponding to any analysis function exists in the analysis result, determining a functional operation state of any analysis function based on the analysis data; Otherwise, based on the operation process of any of the analysis functions, locate the original data source corresponding to any of the analysis functions, and determine the functional operation status of any of the analysis functions based on the presence or absence and delay of the original data at the original data source; The analysis process includes a data collection stage, a data analysis stage and a result transmission stage in sequence, and the analysis result is the output of the result transmission stage; The step of detecting data at each process node in reverse order based on the analysis process of the network analysis system to obtain the operation status of the network analysis system includes: Reading the output data of the data analysis phase, and if any, determining that the operation status is a result transmission failure; Otherwise, read the input data of the data analysis phase, and if it exists, determine that the operation state is a data analysis failure; Otherwise, the output data of the data collection phase is read, and if the output data does not exist, it is determined that the operating state is a data collection failure. 2. The network analysis system operation and maintenance method according to claim 1, characterized in that when any analysis function is a voice service KPI analysis, if there is analysis data corresponding to any analysis function in the analysis result, determining the functional operation status of any analysis function based on the analysis data includes: If the analysis result contains KPI data of all interfaces corresponding to the voice service, it is determined that the voice service KPI analysis is running normally; Otherwise, based on the operation process of any analysis function, locating the original data source corresponding to any analysis function, and determining the functional operation state of any analysis function based on the presence and delay of original data at the original data source, including: If the KPI data of any interface corresponding to the voice service does not exist in the analysis result, locating the original data source of any interface; If there is no original data at the original data source of any of the interfaces, determining that the function operation state of the voice service KPI analysis is that data of any of the interfaces is not reported; If there is original data at the original data source of any of the interfaces, and the delay of the original data exceeds the preset delay threshold, then determining that the function operation state of the voice service KPI analysis is that the data delay of any of the interfaces exceeds the threshold; If there is original data at the original data source of any of the interfaces and the delay of the original data does not exceed the preset delay threshold, it is determined that the functional operation status of the voice service KPI analysis is that any of the interfaces is abnormal due to an unknown reason. 3. The network analysis system operation and maintenance method according to claim 1, characterized in that when any analysis function is MRO analysis, the determining the functional operation status of any analysis function based on the analysis data comprises: determining a measurement query value based on analysis data corresponding to the MRO analysis in the analysis result; If the measurement query value is 0, it is determined that the functional operation state of the MRO analysis is that the periodic MR is not turned on; If the measurement query value is greater than 0 and less than the query threshold, it is determined that the function operation state of the MRO analysis is that the number of reporting base stations is too small, and the reporting base station is a base station that starts periodic MR; If the measured query value is greater than or equal to the query threshold, it is determined that the MRO analysis is operating normally. 4. The network analysis system operation and maintenance method according to claim 1, characterized in that the data analysis phase sequentially includes an IMSI backfill process, a user identification process and a function analysis process; The reading of the input data of the data analysis phase, and determining that the operation state is a data analysis failure if the input data exists, includes: Reading the input data of the functional analysis process, and if the input data exists, determining that the operation state is a functional analysis failure in the data analysis failure; Otherwise, read the input data of the user identification process, and if it exists, determine that the running state is a user identification failure in the data analysis failure; Otherwise, the input data of the IMSI backfilling process is read, and if it exists, the output data of the data collection phase is no longer read. 5. The network analysis system operation and maintenance method according to claim 1, characterized in that the data collection stage includes a parallel hard collection process and a soft collection process; The step of reading the output data of the data collection phase, and if the output data does not exist, determining that the operation state is a data collection failure, includes: The output data of the hard acquisition process is read. If the output data does not exist, it is determined that the operating state is that the hard acquisition interface of the data acquisition failure has no data. If the output data exists and the delay of the output data of the hard acquisition process is greater than the hard acquisition delay threshold, it is determined that the operating state is the hard acquisition delay of the data acquisition failure. Otherwise, read the output data of the soft acquisition process, if it does not exist and the software applied by the soft acquisition process runs abnormally, determine that the running state is a soft acquisition running failure of data acquisition failure, if it does not exist and the software applied by the soft acquisition process runs normally, query the startup state of the base station; If the opening state is not opening, it is determined that the MR with the running state of data acquisition failure is not opening. 6. The network analysis system operation and maintenance method according to claim 5, characterized in that the step of reading the output data of the soft mining process further comprises: If there is output data of the soft acquisition process, it is determined that the operating state is an IMSI backfill failure in the data acquisition failure. 7. The network analysis system operation and maintenance method according to claim 1 or 4 or 5 or 6, characterized in that the network analysis system comprises a data acquisition platform, an FTP server and a data analysis platform; The data acquisition platform is used to run the data acquisition phase, the data analysis platform is used to run the data analysis phase, and the FTP server is used to transfer the output data of the data acquisition platform to the data analysis platform. 8. A network analysis system operation and maintenance platform, including a memory, a transceiver, and a processor: A memory for storing a computer program; a transceiver for transmitting and receiving data under the control of the processor; and a processor for reading the computer program in the memory and performing the following operations: Read the analysis results of the network analysis system; If the analysis result exists, verifying the operation process of the corresponding analysis function in the network analysis system based on the analysis result to obtain the operation status of the network analysis system; Otherwise, based on the analysis process of the network analysis system, the data at each process node is detected in reverse order to obtain the operation status of the network analysis system; The analysis result includes analysis data corresponding to at least one analysis function; The verifying the operation process of the corresponding analysis function in the network analysis system based on the analysis result to obtain the operation status of the network analysis system includes: If analysis data corresponding to any analysis function exists in the analysis result, determining a functional operation state of any analysis function based on the analysis data; Otherwise, based on the operation process of any of the analysis functions, locate the original data source corresponding to any of the analysis functions, and determine the functional operation status of any of the analysis functions based on the presence or absence and delay of the original data at the original data source; The analysis process includes a data collection stage, a data analysis stage and a result transmission stage in sequence, and the analysis result is the output of the result transmission stage; The step of detecting data at each process node in reverse order based on the analysis process of the network analysis system to obtain the operation status of the network analysis system includes: Reading the output data of the data analysis phase, and if any, determining that the operation status is a result transmission failure; Otherwise, read the input data of the data analysis phase, and if it exists, determine that the operation state is a data analysis failure; Otherwise, the output data of the data collection phase is read, and if the output data does not exist, it is determined that the operating state is a data collection failure. 9. The network analysis system operation and maintenance platform according to claim 8, characterized in that when any analysis function is a voice service KPI analysis, if there is analysis data corresponding to any analysis function in the analysis result, determining the functional operation status of any analysis function based on the analysis data comprises: If the analysis result contains KPI data of all interfaces corresponding to the voice service, it is determined that the voice service KPI analysis is running normally; Otherwise, based on the operation process of any analysis function, locating the original data source corresponding to any analysis function, and determining the functional operation state of any analysis function based on the presence and delay of original data at the original data source, including: If the KPI data of any interface corresponding to the voice service does not exist in the analysis result, locating the original data source of any interface; If there is no original data at the original data source of any of the interfaces, determining that the function operation state of the voice service KPI analysis is that data of any of the interfaces is not reported; If there is original data at the original data source of any of the interfaces, and the delay of the original data exceeds the preset delay threshold, then determining that the function operation state of the voice service KPI analysis is that the data delay of any of the interfaces exceeds the threshold; If there is original data at the original data source of any of the interfaces and the delay of the original data does not exceed the preset delay threshold, it is determined that the functional operation status of the voice service KPI analysis is that any of the interfaces is abnormal due to an unknown reason. 10. The network analysis system operation and maintenance platform according to claim 8, characterized in that when any analysis function is MRO analysis, the determining the functional operation status of any analysis function based on the analysis data comprises: determining a measurement query value based on analysis data corresponding to the MRO analysis in the analysis result; If the measurement query value is 0, it is determined that the functional operation state of the MRO analysis is that the periodic MR is not turned on; If the measurement query value is greater than 0 and less than the query threshold, it is determined that the function operation state of the MRO analysis is that the number of reporting base stations is too small, and the reporting base station is a base station that starts periodic MR; If the measured query value is greater than or equal to the query threshold, it is determined that the MRO analysis is operating normally. 11. The network analysis system operation and maintenance platform according to claim 8, characterized in that the data analysis phase sequentially includes an IMSI backfill process, a user identification process and a function analysis process; The reading of the input data of the data analysis phase, and determining that the operation state is a data analysis failure if the input data exists, includes: Reading the input data of the functional analysis process, and if the input data exists, determining that the operation state is a functional analysis failure in the data analysis failure; Otherwise, read the input data of the user identification process, and if it exists, determine that the running state is a user identification failure in the data analysis failure; Otherwise, the input data of the IMSI backfilling process is read, and if it exists, the output data of the data collection phase is no longer read. 12. The network analysis system operation and maintenance platform according to claim 8, characterized in that the data collection stage includes a parallel hard collection process and a soft collection process; The step of reading the output data of the data collection phase, and if the output data does not exist, determining that the operation state is a data collection failure, includes: The output data of the hard acquisition process is read. If the output data does not exist, it is determined that the operating state is that the hard acquisition interface of the data acquisition failure has no data. If the output data exists and the delay of the output data of the hard acquisition process is greater than the hard acquisition delay threshold, it is determined that the operating state is the hard acquisition delay of the data acquisition failure. Otherwise, read the output data of the soft acquisition process, if it does not exist and the software applied by the soft acquisition process runs abnormally, determine that the running state is a soft acquisition running failure of data acquisition failure, if it does not exist and the software applied by the soft acquisition process runs normally, query the startup state of the base station; If the opening state is not opening, it is determined that the MR with the running state of data acquisition failure is not opening. 13. The network analysis system operation and maintenance platform according to claim 12, characterized in that the step of reading the output data of the soft mining process further comprises: If there is output data of the soft acquisition process, it is determined that the operating state is an IMSI backfill failure in the data analysis failure. 14. The network analysis system operation and maintenance platform according to claim 8 or 11 or 12 or 13, characterized in that the network analysis system comprises a data acquisition platform, an FTP server and a data analysis platform; The data acquisition platform is used to run the data acquisition phase, the data analysis platform is used to run the data analysis phase, and the FTP server is used to transfer the output data of the data acquisition platform to the data analysis platform. 15. A network analysis system operation and maintenance device, characterized by comprising: A reading unit, used for reading the analysis result of the network analysis system; An analysis unit, configured to verify the operation process of the corresponding analysis function in the network analysis system based on the analysis result if the analysis result exists, and obtain the operation status of the network analysis system; otherwise, detect the data at each process node in reverse order based on the analysis process of the network analysis system, and obtain the operation status of the network analysis system; The analysis result includes analysis data corresponding to at least one analysis function; The verifying the operation process of the corresponding analysis function in the network analysis system based on the analysis result to obtain the operation status of the network analysis system includes: If analysis data corresponding to any analysis function exists in the analysis result, determining a functional operation state of any analysis function based on the analysis data; Otherwise, based on the operation process of any of the analysis functions, locate the original data source corresponding to any of the analysis functions, and determine the functional operation status of any of the analysis functions based on the presence or absence and delay of the original data at the original data source; The analysis process includes a data collection stage, a data analysis stage and a result transmission stage in sequence, and the analysis result is the output of the result transmission stage; The step of detecting data at each process node in reverse order based on the analysis process of the network analysis system to obtain the operation status of the network analysis system includes: Reading the output data of the data analysis phase, and if any, determining that the operation status is a result transmission failure; Otherwise, read the input data of the data analysis phase, and if it exists, determine that the operation state is a data analysis failure; Otherwise, the output data of the data collection phase is read, and if the output data does not exist, it is determined that the operating state is a data collection failure. 16. A processor-readable storage medium, characterized in that the processor-readable storage medium stores a computer program, wherein the computer program is used to enable the processor to execute the method according to any one of claims 1 to 7.