Government affair process intelligent optimization method, system and equipment based on large model and medium

Abstract

The invention discloses a large-model-based government affair process intelligent optimization method, system and device and a medium, belongs to the technical field of artificial intelligence, and aims to solve the technical problems of low efficiency, resource waste, difficulty in adapting to complex and changeable requirements and difficulty in solving the technical problems in the traditional government affair process. According to the technical scheme, the method comprises the steps of government affair information data collection: extracting related data from government affair information systems, databases and manual input interfaces, collecting manual operation records and feedback information, and integrating multi-source government affair process data; data preprocessing: performing data cleaning, data standardization, data classification and labeling and data feature extraction and selection on the collected government affair information data to obtain preprocessed government affair information data; training and adapting a large model; intelligent process analysis and optimization; evaluating and implementing a scheme; and effect monitoring and feedback.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and specifically to a method, system, device and medium for intelligent optimization of government affairs processes based on a large model. Background Art

[0002] With the development of society, the scope of government services is becoming increasingly broad, and government processes are becoming more and more complicated. Traditional government process processing methods mainly rely on manual operations, which have many problems, such as:

[0003] ① Low efficiency in information processing: Staff members need to spend a lot of time reviewing various policy documents, regulations, past cases and other materials to handle government affairs, resulting in longer business processing time and longer waiting time for the public to get their affairs done.

[0004] ② Understanding bias: Different staff members may have different understandings of government information, which may lead to inconsistencies in the execution of government processes and affect the fairness and accuracy of government services.

[0005] ③ Lack of intelligent guidance: For people who come to handle business, there is a lack of intelligent guidance system to inform them of the materials they need to prepare, the service process, the estimated processing time and other information, resulting in a poor service experience for the people.

[0006] In recent years, big models have demonstrated outstanding capabilities in natural language processing, knowledge understanding and reasoning. However, there are still few mature technical solutions that can effectively apply big models to the field of government process optimization. Summary of the invention

[0007] The technical task of the present invention is to provide a method, system, equipment and medium for intelligent optimization of government affairs processes based on a large model to solve the problems of low efficiency, waste of resources and difficulty in adapting to complex and changing needs in traditional government affairs processes.

[0008] The technical task of the present invention is achieved in the following way: a method for intelligent optimization of government affairs processes based on a large model, the method is as follows:

[0009] Government information data collection: extract relevant data from various government information systems, databases and manual input interfaces, collect manual operation records and feedback information, and integrate multi-source government process data, such as through data interface docking, manual input, etc.; among them, multi-source government process data includes government business operation records, various government form information, policy document content, government personnel feedback information and operation logs of relevant business systems;

[0010] Data preprocessing: data cleaning, data standardization, data classification and labeling, data feature extraction and selection are performed on the collected government information data to obtain preprocessed government information data;

[0011] Large model training and adaptation: Select a large model, use the pre-processed government information data to train the model, fine-tune and adapt the model according to the characteristics of the government field, and then evaluate and verify the model performance;

[0012] Intelligent process analysis and optimization: The government process data to be analyzed and optimized is input into a large model that has been trained and fine-tuned, and optimization suggestions are generated in combination with government rules and best practices. The government process data to be analyzed and optimized includes a complete description of the steps of the current government process, the personnel and resource allocation involved in each step, and the distribution of business processing time.

[0013] Program evaluation and implementation: Organize program evaluation, select feasible optimization suggestions based on the evaluation results, formulate optimization plans, and implement the optimization plans in the government affairs system;

[0014] Effect monitoring and feedback: Set key performance indicators to monitor the operation effect of the process, collect actual operation data and compare it with KPI targets, analyze the situations and reasons that do not meet expectations, and pass the monitoring results and feedback information to relevant departments and personnel.

[0015] As a preference, data preprocessing is specifically as follows:

[0016] Data cleaning: remove noise data, duplicate data, erroneous data and incomplete data from government information data;

[0017] Data standardization: unify data in different formats and encoding methods into formats and encodings that meet preset standards for subsequent processing;

[0018] Feature extraction: Extract key feature data that can characterize the characteristics of government processes; key feature data includes the duration of process steps, the positions of personnel involved, and the correlation with business types.

[0019] As a preferred choice, the big model adopts the Transformer architecture and its variants, and selects the appropriate big model architecture according to the specific characteristics and needs of the government affairs process; and uses the preprocessed data to train the selected Transformer architecture and its variants, setting the training parameters of the learning rate, number of training rounds and batch size, so that the big model can learn the inherent laws and semantic information of the government affairs process;

[0020] After the training is completed, the trained large model is fine-tuned and adapted according to the specific knowledge and rules in the government field to make it more in line with the actual needs of government process analysis and optimization.

[0021] As a preferred option, intelligent process analysis and optimization are as follows:

[0022] The big model identifies bottlenecks (steps or links that cause delays and inefficiencies in business processing) and redundant steps (steps that have no substantial impact on business processing results and can be omitted) in government affairs processes;

[0023] Based on the best practices of government affairs processes and relevant policies and regulations, combined with the analysis results of the big model, specific optimization suggestions for the government affairs processes to be analyzed and optimized are generated; among them, the specific optimization suggestions for the government affairs processes to be analyzed and optimized include the deletion of steps, the adjustment of sequence, the optimization of staffing and the optimization of resource allocation.

[0024] As a preferred option, the evaluation and implementation of the scheme are as follows:

[0025] Organize government experts, relevant business personnel, and government information experts to conduct a comprehensive assessment of the optimization suggestions, with the assessment dimensions including feasibility, compliance, expected benefits, and impact on existing business;

[0026] Screen out feasible optimization suggestions based on the evaluation results and form an optimization plan;

[0027] The optimization plan will be implemented in the government information system, including program modification, configuration adjustment and personnel training operations of the government business system, to ensure that the optimization plan can be effectively implemented.

[0028] Preferably, the effect monitoring and feedback are as follows:

[0029] After the optimization plan is implemented, key performance indicators (KPIs) are set to monitor the operation effect of government affairs processes; the operation effect of government affairs processes includes the average time for business processing, the accuracy of business processing and public satisfaction;

[0030] Collect data on the actual operation of government affairs processes and compare and analyze them with the set key performance indicators (KPIs);

[0031] When it is found that the actual operating data does not meet the set key performance indicator (KPI) requirements, the relevant information will be fed back to the process analysis and optimization process and the solution evaluation and implementation process to trigger a new round of optimization cycle.

[0032] A government affairs process intelligent optimization system based on a large model, the system comprising:

[0033] The data collection module is used to collect multi-source government process data, obtain data from different government information systems, databases and manual input interfaces, and ensure the integrity and accuracy of the collected data through data verification and duplicate data processing; among them, multi-source government process data includes government business operation records, various government form information, policy document content, government personnel feedback information and operation logs of related business systems;

[0034] A data preprocessing module, used to receive and preprocess the collected multi-source government affairs process data;

[0035] The large model training and adaptation module is used to receive pre-processed key feature data based on the Transformer architecture and its variants, and use the pre-processed data to train the Transformer architecture and its variants, set the learning rate, number of training rounds and batch size training parameters, so that the large model can learn the inherent laws and semantic information of the government affairs process; and after the training is completed, fine-tune and adapt the trained large model according to the specific knowledge and rules in the government affairs field, so that it is more in line with the actual needs of government affairs process analysis and optimization;

[0036] The process analysis and optimization module is used to input the government process data to be analyzed and optimized into the trained and fine-tuned large model; the government process data to be analyzed and optimized includes the complete step description of the current government process, the personnel and resource allocation involved in each step, and the distribution of business processing time;

[0037] The program evaluation and implementation module is used to organize program evaluation, screen out feasible optimization suggestions based on the evaluation results, form an optimization plan, and implement the optimization plan in the government affairs system;

[0038] The effect monitoring and feedback module is used to set key performance indicators to monitor the operation effect of the process, collect actual operation data and compare it with KPI targets, analyze the situations and reasons that do not meet expectations, and pass the monitoring results and feedback information to relevant departments and personnel.

[0039] Preferably, the data preprocessing module includes:

[0040] The data cleaning submodule is used to remove noise data, duplicate data, erroneous data, and incomplete data from multi-source government process data;

[0041] The data standardization processing submodule is used to unify data in different formats and encoding methods into a format and encoding that meets the preset standards for subsequent processing;

[0042] The feature extraction submodule is used to extract key feature data that can characterize the characteristics of government affairs processes; the key feature data includes the duration of process steps, the positions of personnel involved, and the correlation between business types;

[0043] The process analysis and optimization module identifies the bottleneck links (steps or links that cause delays in business processing and inefficiency) and redundant steps (steps that have no substantial impact on business processing results and can be omitted) in the government process; and based on the best practices of government processes and relevant policies and regulations, combined with the analysis results of the big model, generates specific optimization suggestions for the government processes to be analyzed and optimized; among them, the specific optimization suggestions for the government processes to be analyzed and optimized include the deletion of steps, adjustment of sequence, optimization of staffing and optimization of resource allocation.

[0044] An electronic device comprising: a memory and at least one processor;

[0045] Wherein, the memory stores computer-executable instructions;

[0046] The at least one processor executes the computer execution instructions stored in the memory, so that the at least one processor executes the intelligent optimization method of government affairs process based on the big model as mentioned above.

[0047] A computer-readable storage medium stores computer-executable instructions. When a processor executes the computer-executable instructions, the above-mentioned method for intelligent optimization of government affairs processes based on a large model is implemented.

[0048] The method, system, device and medium for intelligent optimization of government affairs processes based on a large model of the present invention have the following advantages:

[0049] (I) The present invention realizes intelligent analysis, precise optimization and continuous improvement of government affairs processes through the coordinated operation of data collection module, data preprocessing module, large model training and adaptation module, process analysis and optimization module, solution evaluation and implementation module and effect monitoring and feedback module, solves the problems of low efficiency, waste of resources and difficulty in adapting to complex and changing needs in traditional government affairs processes, effectively improves the efficiency and quality of government services, enhances public satisfaction, and reduces government affairs operation costs, which has important practical application value;

[0050] (ii) The present invention utilizes the powerful functions of the big model and combines the characteristics of the government affairs field to realize intelligent processing of government affairs processes, accurate policy interpretation, intelligent guidance of the public, and continuous optimization of government affairs processes, thereby improving the quality and efficiency of government services;

[0051] (III) The present invention improves the efficiency of government service: through intelligent optimization of government procedures, it simplifies cumbersome procedures, shortens business processing time, improves the efficiency of government staff, and also reduces the waiting time for people to handle affairs;

[0052] (IV) The present invention can accurately interpret government information: by using a large model combined with a policy knowledge graph, it can more accurately interpret government information, avoid inconsistent policy implementation due to personal understanding bias of staff, and ensure the fairness and accuracy of government services;

[0053] (V) The present invention intelligently guides the public to handle affairs: providing the public with detailed and accurate guidance information on handling affairs, so that the public can clearly understand the materials required, the handling process, the estimated handling time, etc., thereby improving the public's handling experience and reducing the difficulties in handling affairs caused by information asymmetry;

[0054] (VI) Continuous optimization of the present invention: Through feedback from staff and the public, the large model and policy knowledge graph can be continuously updated and optimized, thereby continuously improving government processes and service quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] The present invention is further described below in conjunction with the accompanying drawings.

[0056] Attached Figure 1 This is a flowchart of the intelligent optimization method of government affairs processes based on big models. DETAILED DESCRIPTION

[0057] The following detailed description is made of the method, system, device and medium for intelligent optimization of government affairs processes based on a big model of the present invention with reference to the drawings and specific embodiments of the specification.

[0058] Embodiment 1:

[0059] As attached Figure 1 As shown, this embodiment provides a method for intelligent optimization of government affairs processes based on a large model, and the method is specifically as follows:

[0060] S1. Government information data collection: extract relevant data from various government information systems, databases and manual input interfaces, collect manual operation records and feedback information, and integrate multi-source government process data, such as through data interface docking, manual input, etc.; among which, multi-source government process data includes government business operation records, various government form information, policy document content, government personnel feedback information and operation logs of relevant business systems;

[0061] S2. Data preprocessing: data cleaning, data standardization, data classification and labeling, data feature extraction and selection are performed on the collected government information data to obtain preprocessed government information data;

[0062] S3. Large model training and adaptation: Select a large model, use the pre-processed government information data to train the model, fine-tune and adapt the model according to the characteristics of the government field, and then evaluate and verify the model performance;

[0063] S4. Intelligent process analysis and optimization: The government process data to be analyzed and optimized is input into the trained and fine-tuned large model, and optimization suggestions are generated in combination with government rules and best practices. The government process data to be analyzed and optimized includes the complete step description of the current government process, the personnel and resource allocation involved in each step, and the distribution of business processing time.

[0064] S5. Program evaluation and implementation: Organize program evaluation, select feasible optimization suggestions based on the evaluation results, formulate optimization plans, and implement the optimization plans in the government affairs system;

[0065] S6. Effect monitoring and feedback: Set key performance indicators to monitor the operation effect of the process, collect actual operation data and compare it with KPI targets, analyze the situations and reasons that did not meet expectations, and pass the monitoring results and feedback information to relevant departments and personnel.

[0066] The data preprocessing in step S2 of this embodiment is specifically as follows:

[0067] S201, data cleaning: remove noise data, duplicate data, erroneous data and incomplete data in government information data;

[0068] S202, data standardization processing: unifying data in different formats and different encoding methods into formats and encodings that meet preset standards for subsequent processing;

[0069] S203, feature extraction: extract key feature data that can characterize the characteristics of government affairs processes; wherein the key feature data include the duration of process steps, the positions of personnel involved, and the correlation with business types.

[0070] The large model in step S2 of this embodiment adopts the Transformer architecture and its variants, and selects a suitable large model architecture according to the specific characteristics and requirements of the government affairs process; and uses the preprocessed data to train the selected Transformer architecture and its variants, and sets the training parameters of the learning rate, the number of training rounds and the batch size, so that the large model can learn the inherent laws and semantic information of the government affairs process;

[0071] After the training is completed, the trained large model is fine-tuned and adapted according to the specific knowledge and rules in the government field to make it more in line with the actual needs of government process analysis and optimization.

[0072] The intelligent process analysis and optimization in step S4 of this embodiment are specifically as follows:

[0073] S401. The big model identifies bottlenecks (steps or links that cause delays in business processing and inefficiency) and redundant steps (steps that have no substantial impact on business processing results and can be omitted) in government affairs processes;

[0074] S402. Based on the best practices of government affairs processes and relevant policies and regulations, combined with the analysis results of the big model, generate specific optimization suggestions for the government affairs processes to be analyzed and optimized; among them, the specific optimization suggestions for the government affairs processes to be analyzed and optimized include deletion of steps, adjustment of sequence, optimization of staffing and optimization of resource allocation.

[0075] The scheme evaluation and implementation in step S5 of this embodiment are specifically as follows:

[0076] S501. Organize government experts, relevant business personnel, and government information experts to conduct a comprehensive assessment of the optimization suggestions, with the assessment dimensions including feasibility, compliance, expected benefits, and impact on existing businesses;

[0077] S502. Screen out feasible optimization suggestions based on the evaluation results and form an optimization plan;

[0078] S503. Implement the optimization plan in the government information system, including program modification, configuration adjustment and personnel training operations of the government business system, to ensure that the optimization plan can be effectively implemented.

[0079] The effect monitoring and feedback in step S6 of this embodiment are as follows:

[0080] S601. After the optimization plan is implemented, key performance indicators (KPIs) are set to monitor the operation effect of government affairs processes; the operation effect of government affairs processes includes the average time for business processing, the accuracy of business processing and public satisfaction;

[0081] S602. Collect data on the actual operation of government affairs processes and compare and analyze them with the set key performance indicators (KPIs);

[0082] S603. When it is found that the actual operation data does not meet the set key performance indicator (KPI) requirements, the relevant information will be fed back to the process analysis and optimization process and the solution evaluation and implementation process to trigger a new round of optimization cycle.

[0083] Embodiment 2:

[0084] This embodiment provides a system for intelligent optimization of government affairs processes based on a large model, the system comprising:

[0085] The data collection module is used to collect multi-source government process data, obtain data from different government information systems, databases and manual input interfaces, and ensure the integrity and accuracy of the collected data through data verification and duplicate data processing; among them, multi-source government process data includes government business operation records, various government form information, policy document content, government personnel feedback information and operation logs of related business systems;

[0086] A data preprocessing module, used to receive and preprocess the collected multi-source government affairs process data;

[0087] The large model training and adaptation module is used to receive pre-processed key feature data based on the Transformer architecture and its variants, and use the pre-processed data to train the Transformer architecture and its variants, set the learning rate, number of training rounds and batch size training parameters, so that the large model can learn the inherent laws and semantic information of the government affairs process; and after the training is completed, fine-tune and adapt the trained large model according to the specific knowledge and rules in the government affairs field, so that it is more in line with the actual needs of government affairs process analysis and optimization;

[0088] The process analysis and optimization module is used to input the government process data to be analyzed and optimized into the trained and fine-tuned large model; the government process data to be analyzed and optimized includes the complete step description of the current government process, the personnel and resource allocation involved in each step, and the distribution of business processing time;

[0089] The program evaluation and implementation module is used to organize program evaluation, screen out feasible optimization suggestions based on the evaluation results, form an optimization plan, and implement the optimization plan in the government affairs system;

[0090] The effect monitoring and feedback module is used to set key performance indicators to monitor the operation effect of the process, collect actual operation data and compare it with KPI targets, analyze the situations and reasons that do not meet expectations, and pass the monitoring results and feedback information to relevant departments and personnel.

[0091] The data collection module in this embodiment is used to collect multi-source government process data, which includes at least government business operation records, various government form information, policy document content, government personnel feedback information and operation logs of related business systems; at the same time, it has the ability to obtain the above data from different government information systems, databases and manual entry interfaces, and can ensure the integrity and accuracy of the collected data.

[0092] The data preprocessing module in this embodiment is connected to the data collection module to receive the collected multi-source government affairs process data; the specific process is as follows:

[0093] (1) Perform data cleaning operations on multi-source government process data to remove noise data, duplicate data, erroneous data, and incomplete data;

[0094] (2) Standardize the cleaned data and unify the data in different formats and encoding methods into a format and encoding that meets the preset standards for subsequent processing;

[0095] (3) Performing feature extraction operations on the standardized data to extract key feature data that can characterize the characteristics of the government affairs process. The key feature data includes but is not limited to the duration of process steps, positions of personnel involved, and relevance of business types.

[0096] The big model training and adaptation module in this embodiment is connected to the data preprocessing module, and is used to receive preprocessed key feature data; it includes a variety of selectable big model architectures, and can select a suitable big model architecture according to the specific characteristics and needs of the government affairs process. The big model architecture includes but is not limited to the Transformer-based architecture and its variants; the selected big model is trained using the preprocessed key feature data, and reasonable training parameters are set, including but not limited to the learning rate, number of training rounds, batch size, etc., so that the big model can learn the inherent laws and semantic information of the government affairs process; after the training is completed, the trained big model is fine-tuned and adapted according to the specific knowledge and rules in the government affairs field to make it more in line with the actual needs of government affairs process analysis and optimization.

[0097] The process analysis and optimization module in this embodiment is connected to the large model training and adaptation module, and is used to input the government process data to be analyzed and optimized into the large model that has been trained and fine-tuned and adapted; wherein the government process data to be analyzed and optimized includes but is not limited to the complete step description of the current government process, the personnel and resource allocation involved in each step, the distribution of business processing time, etc.; the details are as follows:

[0098] ① Based on the analytical capabilities of the big model, identify the bottlenecks in the government affairs process, that is, the steps or links that cause delays and inefficiencies in business processing;

[0099] ② Identify the redundant steps in the government affairs process, that is, the bottleneck links in the business processing, that is, the steps or links that cause delays and inefficiency in business processing;

[0100] ③ Find out the redundant steps in the government affairs process, that is, the steps that have no substantial impact on the business processing results and can be omitted;

[0101] ④ Based on the best practices of government affairs processes and relevant policies and regulations, combined with the analysis results of the big model, generate specific optimization suggestions for the government affairs processes to be analyzed and optimized. The optimization suggestions include but are not limited to the deletion of steps, adjustment of sequence, optimization of staffing, optimization of resource allocation, etc.

[0102] The solution evaluation and implementation module in this embodiment is connected to the process analysis and optimization module to receive the generated specific optimization suggestions; the details are as follows:

[0103] ① Organize government experts, relevant business personnel, and regulatory policy experts to conduct a comprehensive assessment of the optimization suggestions, including but not limited to feasibility, compliance, expected benefits, impact on existing business, etc.;

[0104] ② Based on the evaluation results, select feasible optimization suggestions and form an optimization plan;

[0105] ③ Implement the optimization plan in the government affairs system, including but not limited to program modification, configuration adjustment, personnel training and other operations of the government affairs business system to ensure that the optimization plan can be effectively implemented.

[0106] The effect monitoring and feedback module in this embodiment is connected to the solution evaluation and implementation module, and is used to set key performance indicators (KPIs) to monitor the operation effect of government affairs processes after the optimization solution is implemented; wherein, the key performance indicators (KPIs) include but are not limited to the average time for business processing, the accuracy of business processing, and public satisfaction, etc.; the details are as follows:

[0107] ① Collect data on the actual operation of government affairs processes and conduct comparative analysis with the set key performance indicators (KPIs);

[0108] ② When it is found that the actual operating data does not meet the set key performance indicator (KPI) requirements, the relevant information will be fed back to relevant modules such as the process analysis and optimization module, solution evaluation and implementation module, etc., in order to trigger a new round of optimization cycle.

[0109] Embodiment 3:

[0110] This embodiment also provides an electronic device, including: a memory and at least one processor;

[0111] Wherein, the memory stores computer-executable instructions;

[0112] The at least one processor executes the computer execution instructions stored in the memory, so that the at least one processor executes the intelligent optimization method of government affairs process based on a big model as described in any one of the present inventions.

[0113] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor may be a microprocessor or any conventional processor, etc.

[0114] The memory can be used to store computer programs and / or modules. The processor realizes various functions of the electronic device by running or executing the computer programs and / or modules stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; the data storage area can store data created according to the use of the terminal, etc. In addition, the memory can also include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (SMC), a secure digital (SD) card, a flash memory card, at least one disk storage period, a flash memory device, or other volatile solid-state storage devices.

[0115] Embodiment 4:

[0116] This embodiment also provides a computer-readable storage medium, in which a plurality of instructions are stored, and the instructions are loaded by a processor, so that the processor executes the intelligent optimization method of government affairs process based on a large model in any embodiment of the present invention. Specifically, a system or device equipped with a storage medium can be provided, on which a software program code that implements the functions of any of the above embodiments is stored, and a computer (or CPU or MPU) of the system or device reads and executes the program code stored in the storage medium.

[0117] In this case, the program code itself read from the storage medium can realize the function of any one of the above-mentioned embodiments, and thus the program code and the storage medium storing the program code constitute a part of the present invention.

[0118] The storage medium embodiments for providing the program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disk (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), a magnetic tape, a non-volatile memory card, and a ROM. Alternatively, the program code can be downloaded from a server computer by a communication network.

[0119] In addition, it should be clear that the functions of any of the above embodiments can be implemented not only by executing the program code read by the computer, but also by enabling an operating system operating on the computer to complete part or all of the actual operations based on instructions from the program code.

[0120] In addition, it can be understood that the program code read from the storage medium is written to a memory provided in an expansion board inserted into the computer or written to a memory provided in an expansion unit connected to the computer, and then based on the instructions of the program code, a CPU installed on the expansion board or the expansion unit is enabled to perform part or all of the actual operations, thereby realizing the functions of any of the above-mentioned embodiments.

[0121] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for intelligent optimization of government affairs processes based on a large model, characterized in that: The method is as follows: Government information data collection: extract relevant data from various government information systems, databases and manual input interfaces, collect manual operation records and feedback information, and integrate multi-source government process data; multi-source government process data includes government business operation records, various government form information, policy document content, government personnel feedback information and operation logs of relevant business systems; Data preprocessing: data cleaning, data standardization, data classification and labeling, data feature extraction and selection are performed on the collected government information data to obtain preprocessed government information data; Large model training and adaptation: Select a large model, use the pre-processed government information data to train the model, fine-tune and adapt the model according to the characteristics of the government field, and then evaluate and verify the model performance; Intelligent process analysis and optimization: The government process data to be analyzed and optimized is input into a large model that has been trained and fine-tuned, and optimization suggestions are generated in combination with government rules and best practices. The government process data to be analyzed and optimized includes a complete description of the steps of the current government process, the personnel and resource allocation involved in each step, and the distribution of business processing time. Program evaluation and implementation: Organize program evaluation, select feasible optimization suggestions based on the evaluation results, formulate optimization plans, and implement the optimization plans in the government affairs system; Effect monitoring and feedback: Set key performance indicators to monitor the operation effect of the process, collect actual operation data and compare it with KPI targets, analyze the situations and reasons that do not meet expectations, and pass the monitoring results and feedback information to relevant departments and personnel.

2. The method for intelligent optimization of government affairs processes based on a large model according to claim 1 is characterized in that: The data preprocessing is as follows: Data cleaning: remove noise data, duplicate data, erroneous data and incomplete data from government information data; Data standardization: unify data in different formats and encoding methods into formats and encodings that meet preset standards; Feature extraction: Extract key feature data that can characterize the characteristics of government processes; key feature data includes the duration of process steps, the positions of personnel involved, and the correlation with business types.

3. The method for intelligent optimization of government affairs processes based on a large model according to claim 1 is characterized in that: The large model uses the Transformer architecture and its variants, and uses preprocessed data to train the selected Transformer architecture and its variants, setting the training parameters of learning rate, number of training rounds and batch size, so that the large model can learn the inherent laws and semantic information of government affairs processes; After the training is completed, the trained large model is fine-tuned and adapted according to the specific knowledge and rules in the government field to make it more in line with the actual needs of government process analysis and optimization.

4. The method for intelligent optimization of government affairs processes based on a large model according to claim 1 is characterized in that: Intelligent process analysis and optimization are as follows: The big model identifies bottlenecks and redundant steps in government processes; Based on the best practices of government affairs processes and relevant policies and regulations, combined with the analysis results of the big model, specific optimization suggestions for the government affairs processes to be analyzed and optimized are generated; among them, the specific optimization suggestions for the government affairs processes to be analyzed and optimized include the deletion of steps, the adjustment of sequence, the optimization of staffing and the optimization of resource allocation.

5. The method for intelligent optimization of government affairs processes based on a large model according to claim 1 is characterized in that: The details of the program evaluation and implementation are as follows: Organize government experts, relevant business personnel, and government information experts to conduct a comprehensive assessment of the optimization suggestions, with the assessment dimensions including feasibility, compliance, expected benefits, and impact on existing business; Screen out feasible optimization suggestions based on the evaluation results and form an optimization plan; The optimization plan will be implemented in the government information system, including program modification, configuration adjustment and personnel training operations of the government business system, to ensure that the optimization plan can be effectively implemented.

6. The method for intelligent optimization of government affairs processes based on a large model according to any one of claims 1 to 5, characterized in that: The details of effect monitoring and feedback are as follows: After the optimization plan is implemented, key performance indicators are set to monitor the operation effect of government affairs processes; the operation effect of government affairs processes includes the average time for business processing, the accuracy of business processing and public satisfaction; Collect data on the actual operation of government affairs processes and compare and analyze them with the set key performance indicators; When it is found that the actual operating data does not meet the set key performance indicator requirements, the relevant information will be fed back to the process analysis and optimization process and the solution evaluation and implementation process to trigger a new round of optimization cycle.

7. A government affairs process intelligent optimization system based on a large model, characterized in that: The system includes: The data collection module is used to collect multi-source government process data, obtain data from different government information systems, databases and manual input interfaces, and ensure the integrity and accuracy of the collected data through data verification and duplicate data processing; among them, multi-source government process data includes government business operation records, various government form information, policy document content, government personnel feedback information and operation logs of related business systems; A data preprocessing module, used to receive and preprocess the collected multi-source government affairs process data; The large model training and adaptation module is used to receive pre-processed key feature data based on the Transformer architecture and its variants, and use the pre-processed data to train the Transformer architecture and its variants, set the learning rate, number of training rounds and batch size training parameters, so that the large model can learn the inherent laws and semantic information of the government affairs process; and after the training is completed, fine-tune and adapt the trained large model according to the specific knowledge and rules in the government affairs field, so that it is more in line with the actual needs of government affairs process analysis and optimization; The process analysis and optimization module is used to input the government process data to be analyzed and optimized into the trained and fine-tuned large model; the government process data to be analyzed and optimized includes the complete step description of the current government process, the personnel and resource allocation involved in each step, and the distribution of business processing time; The program evaluation and implementation module is used to organize program evaluation, screen out feasible optimization suggestions based on the evaluation results, form an optimization plan, and implement the optimization plan in the government affairs system; The effect monitoring and feedback module is used to set key performance indicators to monitor the operation effect of the process, collect actual operation data and compare it with KPI targets, analyze the situations and reasons that do not meet expectations, and pass the monitoring results and feedback information to relevant departments and personnel.

8. The big model-based intelligent optimization system for government affairs processes according to claim 7 is characterized in that: The data preprocessing module includes: The data cleaning submodule is used to remove noise data, duplicate data, erroneous data, and incomplete data from multi-source government process data; The data standardization processing submodule is used to unify data in different formats and encoding methods into a format and encoding that meets the preset standards for subsequent processing; The feature extraction submodule is used to extract key feature data that can characterize the characteristics of government affairs processes; the key feature data includes the duration of process steps, the positions of personnel involved, and the correlation between business types; The process analysis and optimization module identifies the bottlenecks and redundant steps in the government affairs process; and based on the best practices of government affairs processes and relevant policies and regulations, combined with the analysis results of the big model, generates specific optimization suggestions for the government affairs processes to be analyzed and optimized; among them, the specific optimization suggestions for the government affairs processes to be analyzed and optimized include the deletion of steps, the adjustment of sequence, the optimization of staffing and the optimization of resource allocation.

9. An electronic device, characterized in that: include: memory and at least one processor; Wherein, the memory stores computer-executable instructions; The at least one processor executes the computer execution instructions stored in the memory, so that the at least one processor executes the intelligent optimization method of government affairs process based on a large model as described in any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer execution instructions, and when the processor executes the computer execution, the intelligent optimization method of government affairs process based on a large model as described in any one of claims 1 to 6 is implemented.

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