Government affair data processing method and system and medium

Abstract

The embodiment of the invention provides a government affair data processing method and system and a medium, and the method comprises the steps: obtaining multi-source government affair data based on big data, obtaining a government affair data set, carrying out the preprocessing of the government affair data set, and obtaining an optimized data set; inputting the optimized data set into a government affair governance model obtained by training through a deep learning technology, and generating a governance decision; analyzing government affair service quality based on the government decision, and judging whether the government affair service quality meets preset quality demand information; if the quality demand information meets the preset quality demand information, government affairs are governed based on a government decision, and government data are generated; if the quality demand information does not accord with the preset quality demand information, correction prompt information is generated, the correction prompt information is used for prompting adjustment of the government affair service process and construction of a large model containing a large amount of government affair data, and the processing efficiency of the government affair data is improved in combination with advanced technologies such as artificial intelligence and big data analysis.

Description

Technical Field

[0001] The present application relates to the field of government affairs processing technology, and more specifically, to a government affairs data processing method, system and medium. Background Art

[0002] With the continuous development of information technology, government data has shown explosive growth, and traditional government management methods can no longer meet the needs of efficiency, accuracy, and convenience. Therefore, how to use advanced technology to mine and analyze massive government data and improve government decision-making and service quality has become an urgent problem to be solved. Summary of the invention

[0003] The purpose of the embodiments of the present application is to provide a method, system and medium for processing government data, which improves the efficiency of processing government data by constructing a large model containing a large amount of government data and combining advanced technologies such as artificial intelligence and big data analysis.

[0004] The present application also provides a method for processing government data, including: Acquire multi-source government data based on big data to obtain a government data set, pre-process the government data set to obtain an optimized data set; Input the optimized data set into the government governance model trained using deep learning technology to generate governance decisions; Analyze the quality of government services based on governance decisions and determine whether the quality of government services meets the preset quality requirements; If the preset quality requirement information is met, the government affairs are governed based on the governance decision and governance data is generated; If the preset quality requirement information is not met, correction prompt information is generated, and the correction prompt information is used to prompt adjustments to the government service process.

[0005] Optionally, in the government data processing method described in the embodiment of the present application, multi-source government data is acquired based on big data to obtain a government data set, and the government data set is preprocessed to obtain an optimized data set, specifically including: Obtain multi-dimensional government data based on big data and extract multi-dimensional government data features; Compare the government data features with the set features to obtain the feature deviation rate; Determining whether the characteristic deviation rate is greater than or equal to a set characteristic deviation rate threshold; If it is greater than or equal to, a noise feature is generated and the noise feature is removed; If it is less than, a multi-dimensional government data set is obtained.

[0006] Optionally, in the government data processing method described in the embodiment of the present application, the optimized data set is input into the government governance model trained by deep learning technology to generate governance decisions, specifically including: Obtain historical government data and governance decisions to generate data pairs; Analyze the matching degree of data pairs, filter the data pairs whose matching degree is greater than or equal to the set matching degree threshold, and generate a training set; Inputting the training set into the initial model for iterative training to obtain training results, and determining whether the training results have converged; If convergence occurs, a government governance model is generated, and governance decisions are generated based on the government governance model; If it does not converge, feedback information is generated and the model parameters are dynamically adjusted based on the feedback information.

[0007] Optionally, in the government data processing method described in the embodiment of the present application, analyzing the government service quality based on the governance decision to determine whether the government service quality meets the preset quality requirement information specifically includes: Obtain governance decisions, analyze governance status information based on governance decisions, and analyze governance progress information based on governance status information; Analyze the governance progress information at different time nodes, and analyze the governance progress information at adjacent time nodes to obtain governance effect evaluation information; Analyze whether the governance effect evaluation information meets the preset governance conditions; If the preset governance conditions are met, the governance status data at different time nodes will be transmitted to the terminal; If the preset governance conditions are not met, the governance differences are analyzed according to the governance progress information, and the governance decisions are adjusted based on the governance differences.

[0008] Optionally, in the government data processing method described in the embodiment of the present application, if the preset quality requirement information is not met, correction prompt information is generated, and the correction prompt information is used to prompt the government service process to be adjusted, specifically including: Obtain the quality of government services and analyze the degree of qualification of government services; If the qualification of the government service quality is greater than the first correction threshold and less than the second correction threshold, first correction information is generated, and a first government service process is generated based on the first correction information; If the qualification degree of the government service quality is greater than or equal to the second correction threshold, second correction information is generated, and a second government service process is generated based on the second correction information.

[0009] Optionally, in the government affairs data processing method described in the embodiment of the present application, if the preset quality requirement information is met, the government affairs are governed based on the governance decision to generate governance data, which specifically includes: Obtain governance decisions and generate governance data at different time points based on the governance decisions; Sort the governance data in the order of time nodes to generate a sequence table; And analyze the fluctuation information of governance data at the same time node; The sequence table is dynamically adjusted based on fluctuation information of governance data.

[0010] In a second aspect, an embodiment of the present application provides a government data processing system, the system comprising: a memory and a processor, the memory comprising a program of a government data processing method, and the program of the government data processing method is executed by the processor to implement the following steps: Acquire multi-source government data based on big data to obtain a government data set, pre-process the government data set to obtain an optimized data set; Input the optimized data set into the government governance model trained using deep learning technology to generate governance decisions; Analyze the quality of government services based on governance decisions and determine whether the quality of government services meets the preset quality requirements; If the preset quality requirement information is met, the government affairs are governed based on the governance decision and governance data is generated; If the preset quality requirement information is not met, correction prompt information is generated, and the correction prompt information is used to prompt adjustments to the government service process.

[0011] Optionally, in the government data processing system described in the embodiment of the present application, multi-source government data is acquired based on big data to obtain a government data set, and the government data set is preprocessed to obtain an optimized data set, specifically including: Obtain multi-dimensional government data based on big data and extract multi-dimensional government data features; Compare the government data features with the set features to obtain the feature deviation rate; Determining whether the characteristic deviation rate is greater than or equal to a set characteristic deviation rate threshold; If it is greater than or equal to, a noise feature is generated and the noise feature is removed; If it is less than, a multi-dimensional government data set is obtained.

[0012] Optionally, in the government data processing system described in the embodiment of the present application, the optimized data set is input into the government governance model trained by deep learning technology to generate governance decisions, specifically including: Obtain historical government data and governance decisions to generate data pairs; Analyze the matching degree of data pairs, filter the data pairs whose matching degree is greater than or equal to the set matching degree threshold, and generate a training set; Inputting the training set into the initial model for iterative training to obtain training results, and determining whether the training results have converged; If convergence occurs, a government governance model is generated, and governance decisions are generated based on the government governance model; If it does not converge, feedback information is generated and the model parameters are dynamically adjusted based on the feedback information.

[0013] In a third aspect, an embodiment of the present application further provides a computer-readable storage medium, which includes a government data processing method program. When the government data processing method program is executed by a processor, the steps of the government data processing method as described in any one of the above items are implemented.

[0014] As can be seen from the above, an embodiment of the present application provides a government data processing method, system and medium, which obtains multi-source government data based on big data to obtain a government data set, pre-processes the government data set to obtain an optimized data set; inputs the optimized data set into a government governance model trained using deep learning technology to generate governance decisions; analyzes the quality of government services based on governance decisions to determine whether the quality of government services meets preset quality requirement information; if it meets the preset quality requirement information, governs the government affairs based on the governance decisions to generate governance data; if it does not meet the preset quality requirement information, generates correction prompt information, and the correction prompt information is used to prompt adjustments to the government service process, build a large model containing a large amount of government data, and combine advanced technologies such as artificial intelligence and big data analysis to improve the efficiency of processing government data. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 A flowchart of a method for processing government data provided in an embodiment of the present application; Figure 2 A flowchart of a government data processing method for a government data processing method provided in an embodiment of the present application; Figure 3 A flow chart of a governance decision generating method for a government data processing method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0018] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0019] Please refer to Figure 1 , Figure 1 1 is a flowchart of a government data processing method in some embodiments of the present application. The government data processing method is used in a terminal device, and the government data processing method includes the following steps: S101, acquiring multi-source government data based on big data to obtain a government data set, and preprocessing the government data set to obtain an optimized data set; S102, inputting the optimized data set into the government governance model trained by deep learning technology to generate governance decisions; S103, analyzing the quality of government services based on governance decisions, and determining whether the quality of government services meets preset quality requirements; S104, if the preset quality requirement information is met, the government affairs are governed based on the governance decision and governance data is generated; S105: If the preset quality requirement information is not met, a correction prompt information is generated, and the correction prompt information is used to prompt the government service process to be adjusted.

[0020] It should be noted that by establishing a government governance model to output governance decisions in real time based on government data, and by judging whether the governance decisions meet quality requirements, the government service process can be dynamically adjusted to improve the quality of government services.

[0021] Please refer to Figure 2 , Figure 2It is a flowchart of a government data processing method of a government data processing method in some embodiments of the present application. According to an embodiment of the present invention, multi-source government data is obtained based on big data to obtain a government data set, and the government data set is pre-processed to obtain an optimized data set, specifically including: S201, acquiring multi-dimensional government data based on big data and extracting multi-dimensional government data features; S202, comparing the government data characteristics with the set characteristics to obtain the characteristic deviation rate; S203, determining whether the characteristic deviation rate is greater than or equal to a set characteristic deviation rate threshold; S204, if it is greater than or equal to, generating a noise feature and removing the noise feature; S205, if it is less than, a multi-dimensional government data set is obtained.

[0022] It should be noted that by analyzing multi-dimensional government data to eliminate abnormal features, the accuracy of the government data set can be ensured and the accuracy of government decision-making can be improved.

[0023] Please refer to Figure 3 , Figure 3 This is a flow chart of a governance decision generation method of a government data processing method in some embodiments of the present application. According to an embodiment of the present invention, the optimized data set is input into a government governance model trained using deep learning technology to generate a governance decision, specifically including: S301, obtaining historical government data and governance decisions, and generating data pairs; S302, analyzing the matching degree of data pairs, screening data pairs whose matching degree is greater than or equal to a set matching degree threshold, and generating a training set; S303, inputting the training set into the initial model for iterative training, obtaining training results, and determining whether the training results have converged; S304, if converged, generating a government governance model, and generating a governance decision based on the government governance model; S305: If it does not converge, feedback information is generated, and model parameters are dynamically adjusted according to the feedback information.

[0024] It should be noted that by training the model with a large amount of historical data, the output accuracy of the government governance model can be improved and the governance effect evaluation information of governance decisions can be ensured.

[0025] According to an embodiment of the present invention, analyzing the quality of government services based on governance decisions and determining whether the quality of government services meets preset quality requirement information specifically includes: Obtain governance decisions, analyze governance status information based on governance decisions, and analyze governance progress information based on governance status information; Analyze the governance progress information at different time nodes, and analyze the governance progress information at adjacent time nodes to obtain governance effect evaluation information; Analyze whether the governance effect evaluation information meets the preset governance conditions; If the preset governance conditions are met, the governance status data at different time nodes will be transmitted to the terminal; If the preset governance conditions are not met, the governance differences are analyzed according to the governance progress information, and the governance decisions are adjusted based on the governance differences.

[0026] It should be noted that by analyzing the status data at different time nodes, analyzing the governance progress information, and judging the governance effect evaluation information, we can continuously adjust the governance decisions and improve the accuracy of governance decisions.

[0027] According to an embodiment of the present invention, if the preset quality requirement information is not met, a correction prompt information is generated, and the correction prompt information is used to prompt the government service process to be adjusted, specifically including: Obtain the quality of government services and analyze the degree of qualification of government services; If the qualification of the government service quality is greater than the first correction threshold and less than the second correction threshold, first correction information is generated, and a first government service process is generated based on the first correction information; If the qualification degree of the government service quality is greater than or equal to the second correction threshold, second correction information is generated, and a second government service process is generated based on the second correction information.

[0028] It should be noted that by analyzing the degree of qualification of government service quality, different correction information is generated, and different correction information adjusts the government service process in different ways to improve the accuracy of the government service process.

[0029] According to an embodiment of the present invention, if the preset quality requirement information is met, the government affairs are governed based on the governance decision and governance data is generated, specifically including: Obtain governance decisions and generate governance data at different time points based on the governance decisions; Sort the governance data in the order of time nodes to generate a sequence table; And analyze the fluctuation information of governance data at the same time node; The sequence table is dynamically adjusted based on fluctuation information of governance data.

[0030] It should be noted that by analyzing the fluctuations of governance data and governance data at different time points, the normal situation of governance data is analyzed and the best governance data is transmitted to the terminal.

[0031] According to an embodiment of the present invention, the method further includes: obtaining historical governance strategies, analyzing the historical governance strategies, and obtaining successful cases and failed cases; Analyze successful cases and find the best government affairs decision-making for successful governance; Analyze failure cases to identify governance errors and generate experience in governance errors; Conduct governance evaluation on subsequent governance strategies based on experience of governance failures.

[0032] It should be noted that by analyzing the successful cases and failed cases of historical governance strategies, we can learn from the successful experiences in the successful cases and the failed experiences in the failed cases, and make precise adjustments to the subsequent governance strategies.

[0033] In a second aspect, an embodiment of the present application provides a government data processing system, the system comprising: a memory and a processor, the memory comprising a program of a government data processing method, and when the program of the government data processing method is executed by the processor, the following steps are implemented: Acquire multi-source government data based on big data to obtain a government data set, pre-process the government data set to obtain an optimized data set; Input the optimized data set into the government governance model trained using deep learning technology to generate governance decisions; Analyze the quality of government services based on governance decisions and determine whether the quality of government services meets the preset quality requirements; If the preset quality requirement information is met, the government affairs are governed based on the governance decision and governance data is generated; If the preset quality requirement information is not met, correction prompt information is generated, and the correction prompt information is used to prompt adjustments to the government service process.

[0034] It should be noted that by building a large model containing a large amount of government data, combined with advanced technologies such as artificial intelligence and big data analysis, the intelligent management and optimization of government work can be achieved, and the government's decision-making level and service quality can be improved. At the same time, the system can also automatically learn and update model parameters to continuously adapt to new government environments and needs.

[0035] According to an embodiment of the present invention, multi-source government data is acquired based on big data to obtain a government data set, and the government data set is preprocessed to obtain an optimized data set, specifically including: Obtain multi-dimensional government data based on big data and extract multi-dimensional government data features; Compare the government data features with the set features to obtain the feature deviation rate; Determine whether the feature deviation rate is greater than or equal to a set feature deviation rate threshold; If it is greater than or equal to, a noise feature is generated and the noise feature is removed; If it is less than, a multi-dimensional government data set is obtained.

[0036] According to an embodiment of the present invention, the optimized data set is input into a government governance model trained using deep learning technology to generate governance decisions, specifically including: Obtain historical government data and governance decisions to generate data pairs; Analyze the matching degree of data pairs, filter the data pairs whose matching degree is greater than or equal to the set matching degree threshold, and generate a training set; Input the training set into the initial model for iterative training, obtain the training results, and determine whether the training results converge; If convergence occurs, a government governance model is generated, and governance decisions are generated based on the government governance model; If it does not converge, feedback information is generated and the model parameters are dynamically adjusted based on the feedback information.

[0037] It should be noted that by training the model with a large amount of historical data, the output accuracy of the government governance model can be improved and the governance effect evaluation information of governance decisions can be ensured.

[0038] According to an embodiment of the present invention, analyzing the quality of government services based on governance decisions and determining whether the quality of government services meets preset quality requirement information specifically includes: Obtain governance decisions, analyze governance status information based on governance decisions, and analyze governance progress information based on governance status information; Analyze the governance progress information at different time nodes, and analyze the governance progress information at adjacent time nodes to obtain governance effect evaluation information; Analyze whether the governance effect evaluation information meets the preset governance conditions; If the preset governance conditions are met, the governance status data at different time nodes will be transmitted to the terminal; If the preset governance conditions are not met, the governance differences are analyzed according to the governance progress information, and the governance decisions are adjusted based on the governance differences.

[0039] It should be noted that by analyzing the status data at different time nodes, analyzing the governance progress information, and judging the governance effect evaluation information, the governance decisions can be continuously adjusted to improve the accuracy of the governance decisions.

[0040] According to an embodiment of the present invention, if the preset quality requirement information is not met, a correction prompt information is generated, and the correction prompt information is used to prompt the government service process to be adjusted, specifically including: Obtain the quality of government services and analyze the degree of qualification of government services; If the qualification of the government service quality is greater than the first correction threshold and less than the second correction threshold, first correction information is generated, and a first government service process is generated based on the first correction information; If the qualification degree of the government service quality is greater than or equal to the second correction threshold, second correction information is generated, and a second government service process is generated based on the second correction information.

[0041] It should be noted that by analyzing the degree of qualification of government service quality, different correction information is generated, and different correction information adjusts the government service process in different ways to improve the accuracy of the government service process.

[0042] According to an embodiment of the present invention, if the preset quality requirement information is met, the government affairs are governed based on the governance decision and governance data is generated, specifically including: Obtain governance decisions and generate governance data at different time points based on the governance decisions; Sort the governance data in the order of time nodes to generate a sequence table; And analyze the fluctuation information of governance data at the same time node; The sequence table is dynamically adjusted based on fluctuation information of governance data.

[0043] It should be noted that by analyzing the fluctuations of governance data and governance data at different time points, the normal situation of governance data is analyzed and the best governance data is transmitted to the terminal.

[0044] According to an embodiment of the present invention, the method further includes: obtaining historical governance strategies, analyzing the historical governance strategies, and obtaining successful cases and failed cases; Analyze successful cases and find the best government affairs decision-making for successful governance; Analyze failure cases to identify governance errors and generate experience in governance errors; Conduct governance evaluation on subsequent governance strategies based on experience of governance failures.

[0045] It should be noted that by analyzing the successful cases and failed cases of historical governance strategies, we can learn from the successful experiences in the successful cases and the failed experiences in the failed cases, and make precise adjustments to the subsequent governance strategies.

[0046] A third aspect of the present invention provides a computer-readable storage medium, which includes a government data processing method program. When the government data processing method program is executed by a processor, the steps of any of the above-mentioned government data processing methods are implemented.

[0047] The present invention discloses a government data processing method, system and medium, which obtains multi-source government data based on big data to obtain a government data set, pre-processes the government data set to obtain an optimized data set; inputs the optimized data set into a government governance model trained by deep learning technology to generate a governance decision; analyzes the quality of government services based on the governance decision to determine whether the quality of government services meets preset quality requirement information; if it meets the preset quality requirement information, governs the government affairs based on the governance decision to generate governance data; if it does not meet the preset quality requirement information, generates correction prompt information, and the correction prompt information is used to prompt adjustments to the government service process, build a large model containing a large amount of government data, and combine advanced technologies such as artificial intelligence and big data analysis to improve the processing efficiency of government data.

[0048] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0049] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0050] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0051] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, the aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0052] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A method for processing government data, characterized in that: include: Acquire multi-source government data based on big data to obtain a government data set, pre-process the government data set to obtain an optimized data set; Input the optimized data set into the government governance model trained using deep learning technology to generate governance decisions; Analyze the quality of government services based on governance decisions and determine whether the quality of government services meets the preset quality requirements; If the preset quality requirement information is met, the government affairs are governed based on the governance decision and governance data is generated; If the preset quality requirement information is not met, a correction prompt information is generated, and the correction prompt information is used to prompt the government service process to be adjusted; The optimized data set is input into the government governance model trained using deep learning technology to generate governance decisions, including: Obtain historical government data and governance decisions to generate data pairs; Analyze the matching degree of data pairs, filter the data pairs whose matching degree is greater than or equal to the set matching degree threshold, and generate a training set; Inputting the training set into the initial model for iterative training to obtain training results, and determining whether the training results have converged; If convergence occurs, a government governance model is generated, and governance decisions are generated based on the government governance model; If it does not converge, feedback information is generated and the model parameters are dynamically adjusted based on the feedback information.

2. The government data processing method according to claim 1, characterized in that: Based on big data, multi-source government data is obtained to obtain a government data set, and the government data set is preprocessed to obtain an optimized data set, which specifically includes: Obtain multi-dimensional government data based on big data and extract multi-dimensional government data features; Compare the government data features with the set features to obtain the feature deviation rate; Determining whether the characteristic deviation rate is greater than or equal to a set characteristic deviation rate threshold; If it is greater than or equal to, a noise feature is generated and the noise feature is removed; If it is less than, a multi-dimensional government data set is obtained.

3. The government data processing method according to claim 2, characterized in that: Analyze the quality of government services based on governance decisions and determine whether the quality of government services meets the preset quality requirements, including: Obtain governance decisions, analyze governance status information based on governance decisions, and analyze governance progress information based on governance status information; Analyze the governance progress information at different time nodes, and analyze the governance progress information at adjacent time nodes to obtain governance effect evaluation information; Analyze whether the governance effect evaluation information meets the preset governance conditions; If the preset governance conditions are met, the governance status data at different time nodes will be transmitted to the terminal; If the preset governance conditions are not met, the governance differences are analyzed according to the governance progress information, and the governance decisions are adjusted based on the governance differences.

4. The government data processing method according to claim 3 is characterized in that: If the preset quality requirement information is not met, a correction prompt information is generated, and the correction prompt information is used to prompt the government service process to be adjusted, specifically including: Obtain the quality of government services and analyze the degree of qualification of government services; If the qualification of the government service quality is greater than the first correction threshold and less than the second correction threshold, first correction information is generated, and a first government service process is generated based on the first correction information; If the qualification degree of the government service quality is greater than or equal to the second correction threshold, second correction information is generated, and a second government service process is generated based on the second correction information.

5. The government data processing method according to claim 4, characterized in that: If the preset quality requirement information is met, the government affairs are governed based on the governance decision and governance data is generated, including: Obtain governance decisions and generate governance data at different time points based on the governance decisions; Sort the governance data in the order of time nodes to generate a sequence table; And analyze the fluctuation information of governance data at the same time node; The sequence table is dynamically adjusted based on fluctuation information of governance data.

6. A government data processing system, characterized in that: The system includes: a memory and a processor, wherein the memory includes a program of a government data processing method, and when the program of the government data processing method is executed by the processor, the following steps are implemented: Acquire multi-source government data based on big data to obtain a government data set, pre-process the government data set to obtain an optimized data set; Input the optimized data set into the government governance model trained using deep learning technology to generate governance decisions; Analyze the quality of government services based on governance decisions and determine whether the quality of government services meets the preset quality requirements; If the preset quality requirement information is met, the government affairs are governed based on the governance decision and governance data is generated; If the preset quality requirement information is not met, a correction prompt information is generated, and the correction prompt information is used to prompt the government service process to be adjusted; The optimized data set is input into the government governance model trained using deep learning technology to generate governance decisions, including: Obtain historical government data and governance decisions to generate data pairs; Analyze the matching degree of data pairs, filter the data pairs whose matching degree is greater than or equal to the set matching degree threshold, and generate a training set; Inputting the training set into the initial model for iterative training to obtain training results, and determining whether the training results have converged; If convergence occurs, a government governance model is generated, and governance decisions are generated based on the government governance model; If it does not converge, feedback information is generated and the model parameters are dynamically adjusted based on the feedback information.

7. The government data processing system according to claim 6, characterized in that: Based on big data, multi-source government data is obtained to obtain a government data set, and the government data set is preprocessed to obtain an optimized data set, which specifically includes: Obtain multi-dimensional government data based on big data and extract multi-dimensional government data features; Compare the government data features with the set features to obtain the feature deviation rate; Determining whether the characteristic deviation rate is greater than or equal to a set characteristic deviation rate threshold; If it is greater than or equal to, a noise feature is generated and the noise feature is removed; If it is less than, a multi-dimensional government data set is obtained.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a government data processing method program, and when the government data processing method program is executed by a processor, the steps of the government data processing method as described in any one of claims 1 to 5 are implemented.

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