CN118377850B - Enterprise digital management method and system based on comprehensive data processing and electronic equipment - Google Patents
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Abstract
The application relates to the technical field of enterprise data processing, in particular to an enterprise digital management method and system based on comprehensive data processing and electronic equipment. When the method and the system are applied, the output data can be obtained by screening and searching from the enterprise data based on the target category and the appointed keyword of the access terminal, the reference data corresponding to the target keyword is obtained based on the history searching, the data association is established between the output data and the reference data, the associated link data is obtained, and the enterprise management client of the access terminal can obtain a better enterprise data searching result according to the associated link data, so that the finally obtained output data and the associated reference data have a higher reference value.
Description
Technical Field
The application relates to the technical field of enterprise data processing, in particular to an enterprise digital management method and system based on comprehensive data processing and electronic equipment.
Background
In the present digital age, the major challenges facing enterprises are the explosive growth of the data volume of enterprise digital information and the increasing complexity of the data variety. Enterprise digital information, i.e., enterprise data, is not only rapidly expanding in data volume, but its variety is also becoming very diverse, including but not limited to transaction records, user behavioral logs, social media content, sensor data, and the like. Because of the diversity and complexity of enterprise data, how to obtain a retrieval result with a higher reference value when the enterprise data needs to be retrieved and invoked is a technical problem to be solved in the field.
Disclosure of Invention
In view of the above, the application provides an enterprise digital management method, an enterprise digital management system and an electronic device based on comprehensive data processing, which can obtain a retrieval result with a higher reference value when retrieving and calling enterprise data.
In a first aspect, the present application provides an enterprise digital management method based on comprehensive data processing, including: acquiring enterprise data of an enterprise, wherein the enterprise data comprises category parameters; classifying the enterprise data according to a preset category through the category parameters; obtaining a target category input by an access terminal, and retrieving target data corresponding to the target category from the enterprise data; acquiring a designated keyword and calling a keyword database; matching the appointed keywords with the keyword database, and screening target keywords with preset matching degree from the keyword database; screening the target data based on the target keywords to obtain output data, and pushing the output data to an enterprise management client of the access terminal; acquiring the enterprise data with the search frequency meeting the preset frequency range in the preset time period as reference enterprise data; screening the reference enterprise data based on the target keywords to obtain reference data, and pushing the reference data to the enterprise management client of the access terminal; and establishing data association between the reference data and the output data, which are identical to the target keywords, and generating associated link data, and pushing the associated link data to the enterprise management client of the access terminal.
With reference to the first aspect, in one possible implementation manner, the method further includes: carrying out data authority classification on the enterprise data so that the output data and the reference data respectively have corresponding authority classes; invoking the access right of the access terminal, wherein the access right of the access terminal corresponds to the access right of the enterprise management client; if the access rights are matched with the rights class of the output data, allowing the access terminal to access the output data through the enterprise management client; and if the access right is matched with the right level of the reference data, allowing the access terminal to access the associated link data corresponding to the output data through the enterprise management client so as to be transmitted to the corresponding reference data.
With reference to the first aspect, in one possible implementation manner, the method further includes: acquiring an operation range of the enterprise, and generating a plurality of preset categories according to the operation range; wherein, the obtaining enterprise data of the enterprise, the enterprise data including category parameters includes: and extracting category keywords in the enterprise data based on an AI data model, and generating the corresponding category parameters according to the category keywords.
With reference to the first aspect, in one possible implementation manner, the method further includes: and acquiring the pre-configured keyword database corresponding to the enterprise.
With reference to the first aspect, in one possible implementation manner, the method further includes: acquiring imported new data in real time and entering the new data into a database of the enterprise data; based on an AI data model, decomposing the imported new data by semantic analysis to obtain a first new keyword corresponding to the new data; and comparing the first new keyword with the keyword database, and importing the first new keyword into the keyword database if the coincidence ratio of the first new keyword and the keyword database is zero.
With reference to the first aspect, in one possible implementation manner, the method further includes: acquiring the imported second new keywords in real time; and comparing the second new keyword with the keyword database, and if the coincidence degree of the second new keyword and the keyword database is zero, importing the second new keyword into the keyword database.
With reference to the first aspect, in one possible implementation manner, after the acquiring the enterprise data with the search frequency meeting the preset frequency range in the preset time period as reference enterprise data, the method further includes: acquiring screening delay time of each reference data in real time, wherein the screening delay time is a time interval between a first time point and a second time point, the first time point is a time point for screening the output data, and the second time point is a time point for screening the reference data; if the distance between the current time and the first time accords with a preset time node, packaging the reference data between the current time node and the last time node, and pushing the packaged reference data to the enterprise management client; and marking importance of each reference data according to the screening delay time length corresponding to each reference data.
With reference to the first aspect, in one possible implementation manner, after the acquiring the enterprise data with the search frequency meeting the preset frequency range in the preset time period as reference enterprise data, the method further includes: in the single screening process, reference data are obtained, and corresponding association link data are established and generated between the current reference data and the output data of the same target keyword; and if the distance between the current time and the first time point accords with a preset time node, packaging the associated link data between the current time node and the last time node, and pushing the packaged associated link data to the enterprise management client.
In a second aspect, the present application provides an enterprise digital management system based on integrated data processing, comprising: a data acquisition module configured to: acquiring enterprise data of an enterprise, wherein the enterprise data comprises category parameters; the data type processing module is in communication connection with the data acquisition module and is configured to: classifying the enterprise data according to a preset category through the category parameters; obtaining a target category input by an access terminal, and retrieving target data corresponding to the target category from the enterprise data; the keyword processing module is in communication connection with the data category processing module and is configured to: acquiring a designated keyword and calling a keyword database; matching the appointed keywords with the keyword database, and screening target keywords with preset matching degree from the keyword database; screening the target data based on the target keywords to obtain output data, and pushing the output data to an enterprise management client of the access terminal; and a reference processing module, which is respectively in communication connection with the data acquisition module and the keyword processing module, and is configured to: acquiring the enterprise data with the search frequency meeting the preset frequency range in the preset time period as reference enterprise data; screening the reference enterprise data based on the target keywords to obtain reference data, and pushing the reference data to the enterprise management client of the access terminal; and establishing data association between the reference data and the output data, which are identical to the target keywords, and generating associated link data, and pushing the associated link data to the enterprise management client of the access terminal.
In a third aspect, the present application provides an electronic device comprising: a processor; and a memory for storing the processor-executable instructions; the processor is used for executing the enterprise digital management method based on the comprehensive data processing.
When the method and the system are applied, the output data can be obtained by screening and searching from the enterprise data based on the target category and the appointed keyword of the access terminal, the reference data corresponding to the target keyword is obtained based on the history searching, the data association is established between the output data and the reference data, the associated link data is obtained, and the enterprise management client of the access terminal can obtain a better enterprise data searching result according to the associated link data, so that the finally obtained output data and the associated reference data have a higher reference value.
Drawings
Fig. 1 is a schematic diagram of steps of an enterprise digital management method based on integrated data processing according to an embodiment of the present application.
Fig. 2 is a schematic diagram of method steps of an enterprise digital management method based on integrated data processing according to another embodiment of the present application.
Fig. 3 is a schematic diagram of method steps of an enterprise digital management method based on integrated data processing according to another embodiment of the present application.
Fig. 4 is a schematic diagram of method steps of an enterprise digital management method based on integrated data processing according to another embodiment of the present application.
Fig. 5 is a schematic diagram of method steps of an enterprise digital management method based on integrated data processing according to another embodiment of the present application.
Fig. 6 is a schematic diagram of method steps of an enterprise digital management method based on integrated data processing according to another embodiment of the present application.
Fig. 7 is a schematic diagram of method steps of an enterprise digital management method based on integrated data processing according to another embodiment of the present application.
Fig. 8 is a schematic diagram of method steps of an enterprise digital management method based on integrated data processing according to another embodiment of the present application.
FIG. 9 is a system diagram of an enterprise digital management system based on integrated data processing according to an embodiment of the present application.
Fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
An exemplary enterprise digital management method based on integrated data processing is as follows:
Fig. 1 is a schematic diagram of steps of an enterprise digital management method based on integrated data processing according to an embodiment of the present application. The application provides an enterprise digital management method based on comprehensive data processing, in an embodiment, as shown in fig. 1, the enterprise digital management method based on comprehensive data processing comprises the following steps:
step 110, obtaining enterprise data of an enterprise, wherein the enterprise data comprises category parameters.
In this step, the manner of acquiring the enterprise data may be: data is retrieved from the server, imported from outside, and retrieved from the database. The enterprise data may specifically include various types of data generated and stored by the enterprise during operation, including: financial data, customer data, sales data, market data, human resources data, operational data, legal and compliance data, research and development data, intercom data, technical data, social media and network data, and the like. In the enterprise data, loading can be preset, or category parameters can be automatically generated through an AI algorithm, and the category parameters can be used for marking the data category of the enterprise data so as to facilitate subsequent retrieval work.
Step 120, classifying the enterprise data according to the preset category through the category parameters.
In this step, the enterprise data is classified into categories based on category parameters existing in the enterprise data. The preset categories may be preset, for example, according to the current status of the enterprise, a plurality of categories needing to be focused are set as preset categories; or setting several preset categories which need to be focused according to the enterprise industry. After classification, the enterprise data is more convenient to retrieve.
And 130, obtaining the target category input by the access terminal, and retrieving target data corresponding to the target category from the enterprise data.
In this step, since the enterprise data is already classified into a plurality of preset categories, the preset category corresponding to the target category can be quickly retrieved based on the target category, that is, the enterprise data corresponding to the target category is retrieved as the target data. The number of pieces of target data may be plural.
Step 140, obtaining the designated keywords and calling a keyword database.
In this step, the specified keyword may be input by the access terminal, that is, the keyword that the access terminal wants to retrieve, and the enterprise data associated with the specified keyword is the enterprise data that the access terminal wants to retrieve. The keyword database may be pre-stored in the server, and the keywords in the keyword database may be obtained by: the method comprises the following modes of pre-leading in, pre-inputting, updating according to real-time data, automatically extracting by an AI algorithm and the like.
And 150, matching the appointed keywords with a keyword database, and screening target keywords with preset matching degree from the keyword database.
In this step, according to the specified keyword input by the access terminal, the specified keyword is subjected to similarity matching with the keywords in the keyword database, and when the similarity reaches the preset matching degree, it can be explained that the keyword corresponds to the specified keyword, that is, the keyword is the keyword that the access terminal wants to search, and the keyword obtained by matching is used as the target keyword. The preset matching degree may be set to 50%, that is, when the similarity between the specified keyword data and the keyword data in the keyword database reaches 50% or more, the matched keywords are extracted as target keywords.
Step 160, screening the target data based on the target keywords to obtain output data, and pushing the output data to the enterprise management client of the access terminal.
In the step, data screening and searching are carried out according to the target keywords, and target data with the target keywords are obtained from a plurality of target data through screening and searching to serve as output data. The access end performs data butt joint and access through the enterprise management client, and in the step, target data are pushed to the enterprise management client at the access end.
Step 170, obtaining enterprise data with search frequency meeting a preset frequency range in a preset time period as reference enterprise data.
In order to further optimize and improve the retrieval quality of the retrieval result data, in this step, the enterprise data with the retrieval frequency reaching the preset frequency range is extracted from the history retrieval record, the preset time period may be set within the past 5 days, the past 8 days or the past 10 days, the preset frequency range may be set to be greater than 10 times, greater than 15 times or greater than 20 times, the enterprise data with the retrieval frequency reaching the preset frequency range may be regarded as high-frequency retrieval data, the enterprise data with the current enterprise condition requiring high attention may be regarded as reference enterprise data.
And 180, screening the reference data from the reference enterprise data based on the target keywords, and pushing the reference data to the enterprise management client of the access terminal.
In the step, searching and screening are carried out from the reference enterprise data based on the target keywords, and data matched with the target keywords are obtained as reference data. The access end performs data butt joint and access through the enterprise management client, and in the step, the reference data is pushed to the enterprise management client at the access end. The reference data obtained by the target keyword can be considered to be strongly correlated with the output data, and has a certain reference value.
And 190, establishing data association between the reference data and the output data with the same target keywords, generating associated link data, and pushing the associated link data to the enterprise management client of the access terminal.
In the step, data association is established between the reference data and the output data, so that the access terminal can see the reference data which is strongly related to the output data through association link data. In the step, the reference data which is strongly related to the target keyword can be automatically acquired for reference outside the target category, so that the search result has cross-category property, and the access terminal can obtain more enterprise data across categories.
When the method and the system are applied, the output data can be obtained by screening and searching from the enterprise data based on the target category and the appointed keyword of the access terminal, the reference data corresponding to the target keyword is obtained based on the history searching, then the data association is established between the output data and the reference data, the associated link data is obtained, and the enterprise management client of the access terminal can obtain a better enterprise data searching result according to the associated link data, so that the finally obtained output data and the associated reference data have a better reference value.
Fig. 2 is a schematic diagram of method steps of an enterprise digital management method based on integrated data processing according to another embodiment of the present application. In one embodiment, as shown in fig. 2, the enterprise digital management method based on integrated data processing further includes:
Step 200, classifying the data authority of the enterprise data, so that the output data and the reference data respectively have corresponding authority levels.
Step 210, calling the access right of the access terminal, wherein the access right of the access terminal corresponds to the access right of the enterprise management client.
Step 220, if the access right matches the right level of the output data, the access terminal is allowed to access the output data through the enterprise management client.
Step 230, if the access rights are matched with the rights level of the reference data, the access terminal is allowed to access the associated link data corresponding to the output data through the enterprise management client so as to transmit the associated link data to the corresponding reference data.
When the embodiment is applied, the authority classification can be respectively carried out on the output data and the reference data, and when the access terminal tries to access, if the access authority of the access terminal can access the output data, the access of the output data is allowed; if the access right of the access terminal can access the reference data, the access terminal is allowed to access and call the associated link data, so that the access terminal can access the reference data with the same target keyword as the output data through the associated link data, and the access terminal can retrieve the data with more comprehensive and more reference value under the allowed right.
Fig. 3 is a schematic diagram of method steps of an enterprise digital management method based on integrated data processing according to another embodiment of the present application. In one embodiment, as shown in fig. 3, the enterprise digital management method based on integrated data processing further includes:
step 240, obtaining an operation scope of the enterprise, and generating a plurality of preset categories according to the operation scope.
Wherein step 110 comprises:
and 111, extracting category keywords in the enterprise data based on the AI data model, and generating corresponding category parameters according to the category keywords.
In this embodiment, the operating range data is retrieved to obtain a plurality of preset categories, for example, the operating range of the enterprise includes: technical development and sales of electronic components, integrated circuits, optoelectronic products, semiconductors, then various preset categories may be generated and stored by the enterprise during operation: electronic component data, integrated circuit data, optoelectronic product data, semiconductor data, and the like. In step 111, keyword extraction is specifically performed in each data through an AI data model, for example, when keywords such as capacitance, inductance, resistance, diode and the like are extracted from enterprise data, the keywords are corresponding to electronic components, and when the keywords are extracted, the enterprise data is identified as electronic component data, and category parameters of the electronic component category are identified in the enterprise data; for example, when the PCB is extracted from the enterprise data, the PCB corresponds to the integrated circuit, and when the keywords are extracted, the enterprise data is identified as the integrated circuit data, and category parameters of the integrated circuit category are identified in the enterprise data.
Fig. 4 is a schematic diagram of method steps of an enterprise digital management method based on integrated data processing according to another embodiment of the present application. In one embodiment, as shown in FIG. 4, the integrated data processing based enterprise digital management method further includes, prior to step 140:
Step 250, obtaining a pre-configured keyword database corresponding to the enterprise.
In this embodiment, the keyword database may be preconfigured by an expert database, or may be preconfigured by an AI algorithm according to the type of enterprise of the enterprise.
Fig. 5 is a schematic diagram of method steps of an enterprise digital management method based on integrated data processing according to another embodiment of the present application. In one embodiment, as shown in fig. 5, the enterprise digital management method based on integrated data processing further includes:
Step 260, obtaining the imported new data into the database of the enterprise data in real time.
Step 270, based on the AI data model, the imported new data is parsed by semantics to obtain a first new keyword corresponding to the new data.
Step 280, comparing the first new keyword with the keyword database, and if the coincidence degree of the first new keyword and the keyword database is zero, importing the first new keyword into the keyword database.
In this embodiment, the keyword database is updated by continuously acquiring new data, and when an enterprise acquires or acquires new data, semantic analysis processing is performed on the new data through the AI data model, so as to obtain keywords in the new data as first new keywords. The specific semantic parsing process may include: verbs, prepositions and special characters in language data in the new data are removed, digital parameters in the new data are removed, and AI analysis is carried out on the remaining data to obtain a first new keyword.
Fig. 6 is a schematic diagram of method steps of an enterprise digital management method based on integrated data processing according to another embodiment of the present application. In one embodiment, as shown in fig. 6, the enterprise digital management method based on integrated data processing further includes:
Step 290, obtaining the imported second new keywords in real time.
And 300, comparing the second new keyword with the keyword database, and if the coincidence degree of the second new keyword and the keyword database is zero, importing the second new keyword into the keyword database.
In this embodiment, when the access terminal directly imports the new keyword, the keyword database is updated by directly acquiring the new keyword as the second new keyword.
Fig. 7 is a schematic diagram of method steps of an enterprise digital management method based on integrated data processing according to another embodiment of the present application. In one embodiment, as shown in FIG. 7, after step 170, the integrated data processing based enterprise digital management method further includes:
Step 310, obtaining screening delay time of each reference data in real time, wherein the screening delay time is a time interval between a first time point and a second time point, the first time point is a time point when the output data is obtained through screening, and the second time point is a time point when the reference data is obtained through screening.
Step 320, if the distance between the current time and the first time accords with the preset time node, packaging the reference data between the current time node and the last time node, and pushing the packaged reference data to the enterprise management client.
And 330, marking the importance of each reference data according to the screening delay time length corresponding to each reference data.
In this embodiment, since the retrieved enterprise data in the past period of time needs to be called up and analyzed in the process of acquiring the reference data, it may take a while for the process. In order not to affect the pushing of the main output data, the delay pushing method of the embodiment is adopted. Firstly, starting from screening to obtain output data, detecting the time spent in acquiring the reference data as screening delay time, and continuously acquiring each screening delay time corresponding to each acquired reference data in the whole process. If the current time reaches the preset time length node, packaging and transmitting one time of reference data, wherein the time length reaches 10 seconds, 15 seconds, 20 seconds and 25 seconds from the first time point to serve as four preset time length nodes respectively; packaging and transmitting reference data between 0 seconds and 10 seconds (excluding 0 seconds and including 10 seconds) when the current time is 10 seconds away from the first time point; when the current time is 15 seconds away from the first time point, packaging and transmitting reference data between 10 seconds and 15 seconds (excluding 10 seconds and including 15 seconds); when the current time is 20 seconds away from the first time point, packaging and transmitting reference data between 15 seconds and 20 seconds (excluding 15 seconds and including 20 seconds); when the current time is 25 seconds apart from the first time point, the reference data between 20 seconds and 25 seconds (excluding 20 seconds and including 25 seconds) is transmitted in a packet. The method for transmitting the reference data in a discrete mode can store the reference data in a period of time in a redundant mode and divide the reference data into a plurality of times for pushing, so that the method has the function of data redundancy buffering on one hand, and the reference data can be separated and packaged by timing packaging pushing on the other hand, so that the reference data form a plurality of data packets to facilitate data storage and processing. Meanwhile, in step 330, the shorter the screening delay time length is, the easier the reference data is retrieved, the more important the reference data can be considered, so that the importance of the reference data is classified according to the screening delay time length, for example, the reference data with the shortest screening delay time length is marked as 1 level, 10 pieces of reference data in total are marked as 10 levels, wherein the importance of the 2-level reference data is lower than the importance of the 1-level reference data, and the importance of the 10-level reference data is lowest.
Fig. 8 is a schematic diagram of method steps of an enterprise digital management method based on integrated data processing according to another embodiment of the present application. In one embodiment, as shown in FIG. 8, after step 170, the integrated data processing based enterprise digital management method further includes:
and 340, establishing and generating corresponding associated link data between the current reference data and the output data of the same target keyword in the reference data obtained by single screening.
Step 350, if the distance between the current time and the first time accords with the preset time node, packaging the associated link data between the current time node and the last time node, and pushing the packaged associated link data to the enterprise management client.
In this embodiment, on the basis of adopting delayed push reference data, each reference data and output data of the same target keyword are associated and established, corresponding associated link data are generated, and each time when a node with a preset duration is reached, the associated link data are packaged and sent once. The method for discretely transmitting the associated link data can redundantly store the associated link data in a period of time and divide the associated link data into a plurality of times for pushing, so that the method can play a role in redundant buffering of data on one hand, and on the other hand, the associated link data can be separated and packaged by timing packaging pushing, so that the associated link data form a plurality of data packets for data storage and processing.
An exemplary enterprise digital management system based on integrated data processing is as follows:
the application also provides an enterprise digital management system based on comprehensive data processing, as shown in fig. 9, which comprises a data acquisition module 901, a data category processing module 902, a keyword processing module 903 and a reference processing module 904.
The data acquisition module 901 is configured to: enterprise data for an enterprise is obtained, the enterprise data including category parameters.
The data class processing module 902 is communicatively connected to the data acquisition module 901, and the data class processing module 902 is configured to: classifying the enterprise data according to the preset category through the category parameters; and obtaining the target category input by the access terminal, and retrieving target data corresponding to the target category from the enterprise data.
The keyword processing module 903 is communicatively coupled to the data class processing module 902, the keyword processing module 903 being configured to: acquiring a designated keyword and calling a keyword database; matching the appointed keywords with a keyword database, and screening target keywords with preset matching degree from the keyword database; and screening the target data based on the target keywords to obtain output data, and pushing the output data to the enterprise management client of the access terminal.
The reference processing module 904 is communicatively connected to the data acquisition module 901 and the keyword processing module 903, respectively, and the reference processing module 904 is configured to: acquiring enterprise data with search frequency meeting a preset frequency range in a preset time period as reference enterprise data; screening the reference data from the reference enterprise data based on the target keywords, and pushing the reference data to an enterprise management client of the access terminal; and establishing data association between the reference data and the output data which are the same as the target keywords, generating associated link data, and pushing the associated link data to the enterprise management client of the access terminal.
An exemplary electronic device is as follows:
Next, an electronic device according to an embodiment of the present application is described with reference to fig. 10. Fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the application.
As shown in fig. 10, the electronic device 100 includes one or more processors 1001 and memory 1002.
The processor 1001 may be a Central Processing Unit (CPU) or other form of processing unit having data processing and/or instruction execution capabilities and may control other components in the electronic device 100 to perform desired functions.
Memory 1002 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, random Access Memory (RAM) and/or cache memory (cache), and the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, and the like. One or more computer program instructions may be stored on the computer readable storage medium that can be executed by the processor 1001 to implement the positioning method or other desired functions of the various embodiments of the present application described above. Various content, such as positioning error parameters, may also be stored in the computer readable storage medium.
In one example, the electronic device 100 may further include: an input device 1003 and an output device 1004, which are interconnected by a bus system and/or other forms of connection mechanisms (not shown).
The input device 1003 may include, for example, a keyboard, mouse, joystick, touch screen, and the like.
The output device 1004 may output various information to the outside, including the determined movement data, and the like. The output 1004 may include, for example, a display, a communication network, and remote output devices connected thereto, and so forth.
Of course, only some of the components of the electronic device 100 relevant to the present application are shown in fig. 10 for simplicity, components such as buses, input/output interfaces, etc. being omitted. In addition, the electronic device 100 may include any other suitable components depending on the particular application.
In addition to the methods and apparatus described above, embodiments of the application may also be a computer program product comprising computer program instructions which, when executed by a processor, cause the processor to perform the steps in a positioning method according to various embodiments of the application described in this specification.
The computer program product may write program code for performing operations of embodiments of the present application in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present application may also be a computer-readable storage medium, on which computer program instructions are stored, which, when being executed by a processor, cause the processor to perform the steps in the positioning method according to various embodiments of the present application.
The computer readable storage medium may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may include, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The basic principles of the present application have been described above in connection with specific embodiments, but it should be noted that the advantages, benefits, effects, etc. mentioned in the present application are merely examples and not intended to be limiting, and these advantages, benefits, effects, etc. are not to be construed as necessarily possessed by the various embodiments of the application. Furthermore, the specific details disclosed herein are for purposes of illustration and understanding only, and are not intended to be limiting, as the application is not necessarily limited to practice with the above described specific details.
The block diagrams of the devices, apparatuses, devices, systems referred to in the present application are only illustrative examples and are not intended to require or imply that the connections, arrangements, configurations must be made in the manner shown in the block diagrams. As will be appreciated by one of skill in the art, the devices, apparatuses, devices, systems may be connected, arranged, configured in any manner. Words such as "including," "comprising," "having," and the like are words of openness and mean "including but not limited to," and are used interchangeably therewith. The terms "or" and "as used herein refer to and are used interchangeably with the term" and/or "unless the context clearly indicates otherwise. The term "such as" as used herein refers to, and is used interchangeably with, the phrase "such as, but not limited to.
It is also noted that in the apparatus, devices and methods of the present application, the components or steps may be disassembled and/or assembled. Such decomposition and/or recombination should be considered as equivalent aspects of the present application.
The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the application. Thus, the present application is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features herein.
The foregoing description of the preferred embodiments of the application is not intended to be limiting, but rather is to be construed as including any modifications, equivalents, and alternatives falling within the spirit and principles of the application.
Claims (8)
1. An enterprise digital management method based on integrated data processing, comprising:
Acquiring enterprise data of an enterprise, wherein the enterprise data comprises category parameters;
classifying the enterprise data according to a preset category through the category parameters;
obtaining a target category input by an access terminal, and retrieving target data corresponding to the target category from the enterprise data;
Acquiring a designated keyword and calling a keyword database;
matching the appointed keywords with the keyword database, and screening target keywords with preset matching degree from the keyword database;
screening the target data based on the target keywords to obtain output data, and pushing the output data to an enterprise management client of the access terminal;
acquiring the enterprise data with the search frequency meeting the preset frequency range in the preset time period as reference enterprise data;
screening the reference enterprise data based on the target keywords to obtain reference data, and pushing the reference data to the enterprise management client of the access terminal; and
Establishing data association between the reference data and the output data, which are identical in the target keywords, and generating associated link data, and pushing the associated link data to the enterprise management client of the access terminal;
after the obtaining the enterprise data with the searching frequency meeting the preset frequency range in the preset time period is the reference enterprise data, the method further comprises:
acquiring screening delay time of each reference data in real time, wherein the screening delay time is a time interval between a first time point and a second time point, the first time point is a time point for screening the output data, and the second time point is a time point for screening the reference data;
if the distance between the current time and the first time accords with a preset time node, packaging the reference data between the current time node and the last time node, and pushing the packaged reference data to the enterprise management client;
marking importance of each reference data according to the screening delay time length corresponding to each reference data;
In the single screening process, reference data are obtained, and corresponding association link data are established and generated between the current reference data and the output data of the same target keyword; and
If the distance duration between the current time and the first time point accords with a preset duration node, packaging the associated link data between the current duration node and the last duration node, and pushing the packaged associated link data to the enterprise management client.
2. The integrated data processing based enterprise digital management method of claim 1, further comprising:
Carrying out data authority classification on the enterprise data so that the output data and the reference data respectively have corresponding authority classes;
invoking the access right of the access terminal, wherein the access right of the access terminal corresponds to the access right of the enterprise management client;
if the access rights are matched with the rights class of the output data, allowing the access terminal to access the output data through the enterprise management client; and
And if the access authority is matched with the authority level of the reference data, allowing the access terminal to access the associated link data corresponding to the output data through the enterprise management client so as to be transmitted to the corresponding reference data.
3. The integrated data processing based enterprise digital management method of claim 1, further comprising:
acquiring an operation range of the enterprise, and generating a plurality of preset categories according to the operation range;
Wherein, the obtaining enterprise data of the enterprise, the enterprise data including category parameters includes:
and extracting category keywords in the enterprise data based on an AI data model, and generating the corresponding category parameters according to the category keywords.
4. The integrated data processing based enterprise digital management method of claim 1, further comprising:
And acquiring the pre-configured keyword database corresponding to the enterprise.
5. The integrated data processing based enterprise digital management method of claim 4, further comprising:
Acquiring imported new data in real time and entering the new data into a database of the enterprise data;
based on an AI data model, decomposing the imported new data by semantic analysis to obtain a first new keyword corresponding to the new data; and
And comparing the first new keyword with the keyword database, and if the coincidence ratio of the first new keyword and the keyword database is zero, importing the first new keyword into the keyword database.
6. The integrated data processing based enterprise digital management method of claim 4, further comprising:
Acquiring the imported second new keywords in real time; and
And comparing the second new keyword with the keyword database, and if the coincidence ratio of the second new keyword and the keyword database is zero, importing the second new keyword into the keyword database.
7. An enterprise digital management system based on integrated data processing, comprising:
a data acquisition module configured to: acquiring enterprise data of an enterprise, wherein the enterprise data comprises category parameters;
the data type processing module is in communication connection with the data acquisition module and is configured to: classifying the enterprise data according to a preset category through the category parameters; obtaining a target category input by an access terminal, and retrieving target data corresponding to the target category from the enterprise data;
The keyword processing module is in communication connection with the data category processing module and is configured to: acquiring a designated keyword and calling a keyword database; matching the appointed keywords with the keyword database, and screening target keywords with preset matching degree from the keyword database; screening the target data based on the target keywords to obtain output data, and pushing the output data to an enterprise management client of the access terminal; and
The reference processing module is respectively in communication connection with the data acquisition module and the keyword processing module, and is configured to: acquiring the enterprise data with the search frequency meeting the preset frequency range in the preset time period as reference enterprise data; screening the reference enterprise data based on the target keywords to obtain reference data, and pushing the reference data to the enterprise management client of the access terminal; establishing data association between the reference data and the output data, which are identical to the target keywords, and generating associated link data, and pushing the associated link data to the enterprise management client of the access terminal; after the obtaining the enterprise data with the searching frequency meeting the preset frequency range in the preset time period is the reference enterprise data, the method further comprises the following steps: acquiring screening delay time of each reference data in real time, wherein the screening delay time is a time interval between a first time point and a second time point, the first time point is a time point for screening the output data, and the second time point is a time point for screening the reference data; if the distance between the current time and the first time accords with a preset time node, packaging the reference data between the current time node and the last time node, and pushing the packaged reference data to the enterprise management client; and marking importance of each reference data according to the screening delay time length corresponding to each reference data; in the single screening process, reference data are obtained, and corresponding association link data are established and generated between the current reference data and the output data of the same target keyword; and if the distance between the current time and the first time point accords with a preset time node, packaging the associated link data between the current time node and the last time node, and pushing the packaged associated link data to the enterprise management client.
8. An electronic device, the electronic device comprising:
A processor; and
A memory for storing the processor-executable instructions;
Wherein the processor is configured to perform the integrated data processing based enterprise digital management method of any of the preceding claims 1 through 6.
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| CN116561434A (en) * | 2023-06-28 | 2023-08-08 | 平安银行股份有限公司 | Data retrieval recommendation method, device, storage medium and equipment |
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| CN116340468A (en) * | 2023-05-12 | 2023-06-27 | 华北理工大学 | Subject Literature Retrieval Prediction Method |
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| CN116561434A (en) * | 2023-06-28 | 2023-08-08 | 平安银行股份有限公司 | Data retrieval recommendation method, device, storage medium and equipment |
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