Electronic certificate management system based on image recognition

Abstract

The invention discloses an electronic certificate management system based on image recognition, and particularly relates to the field of certificate management. Comprising a sub-region division module, a sub-region system information acquisition module, a sub-region image recognition system efficiency comprehensive analysis module, a target region image recognition system efficiency comprehensive analysis module, an image recognition system efficiency judgment module and an interactive feedback module. According to the method, the target area is divided into different sub-areas through accurate area division, multiple pieces of key information of each sub-area are comprehensively collected, and system quality information, performance information and data security information are covered. And after data is deeply analyzed, a comprehensive mathematical model is established, and the performance of the electronic certificate management system is evaluated in multiple dimensions. The method improves the comprehensive cognition of the overall performance of the system, facilitates the optimization of the working efficiency of the electronic certificate management system, and enhances the data security and practicability.

Description

Technical Field

[0001] The present invention relates to the technical field of certificate management, and more specifically, to an electronic certificate management system based on image recognition. Background Art

[0002] With the development of information technology, the traditional paper certificate management method can no longer meet the needs of enterprises and government departments. The construction of an electronic certificate management system will help improve the efficiency and accuracy of certificate management, reduce the time and cost of related work, and improve service quality and benefits.

[0003] The electronic certificate management system based on image recognition is a system that uses optical character recognition technology to automatically process and recognize electronic certificate images. The system aims to improve the efficiency, accuracy and convenience of certificate management and is widely used in many fields such as government, enterprises, and public services.

[0004] The electronic certificate management system based on image recognition scans or photographs the certificate image, uses optical character recognition technology to automatically extract the text, numbers, symbols and other information on the certificate, and converts it into a computer-readable text format. This process enables the rapid entry, verification and storage of certificate information, greatly simplifies the traditional manual entry method, and improves work efficiency and accuracy.

[0005] However, it still has some shortcomings in actual use, such as the data collected by the existing technology is too single, which makes it difficult to accurately judge the overall performance of the system. In addition, the current monitoring of system performance is mainly judged by a single dimension such as the accuracy of image recognition, lacking comprehensive indicators. If monitoring is only carried out from a single dimension, ignoring the system's performance and data security, then the overall performance of the electronic certificate management system may not be comprehensive enough, and it is also impossible to effectively evaluate the overall performance of the electronic certificate management system after it is actually put into use, which in turn affects the final quality and practicality of the electronic certificate management system. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an electronic certificate management system based on image recognition, which solves the problems raised in the above-mentioned background technology through the following scheme.

[0007] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: an electronic certificate management system based on image recognition, comprising a sub-area division module, a sub-area system information collection module, a sub-area image recognition system performance comprehensive analysis module, a target area image recognition system performance comprehensive analysis module, an image recognition system performance judgment module and an interactive feedback module.

[0008] Preferably, the sub-area division module is used to record the system to be monitored as the target monitoring area, divide the target monitoring area into sub-monitoring areas according to the system service area, and mark them as 1, 2, 3...i in sequence;

[0009] The sub-region system information collection module includes a recognition quality information collection unit, a system performance information collection unit, a user behavior information collection unit, and a data security information collection unit, and is used to collect data from the sub-region to obtain comprehensive parameters and output the comprehensive parameters to the sub-region image recognition system performance comprehensive analysis module;

[0010] The sub-region image recognition system performance comprehensive analysis module is used to import the data collected in the sub-region system information collection module into the mathematical model of the sub-region system performance coefficient, the mathematical model of the sub-region recognition quality coefficient, the mathematical model of the sub-region data security coefficient and the mathematical model of the sub-region system performance comprehensive evaluation index and calculate to obtain the sub-region system performance coefficient, the sub-region recognition quality coefficient, the sub-region data security coefficient and the sub-region system performance comprehensive evaluation index;

[0011] The target area image recognition system performance comprehensive analysis module is used to import the data obtained by the sub-area image recognition system performance comprehensive analysis module into the mathematical model of the target area system performance comprehensive evaluation index and perform calculations to obtain the target area system performance comprehensive evaluation index;

[0012] The image recognition system performance judgment module is used to compare the comprehensive evaluation index of the target area system performance with the preset value, and input the comparison result into the interactive feedback module;

[0013] The interactive feedback module is used to import the comparison result into the administrator terminal, and when the comparison result of the comprehensive evaluation index of the system performance in the target area is lower than the preset value, an alarm will be issued to the administrator's equipment.

[0014] Preferably, the specific method for acquiring the comprehensive parameters of each sub-region in the sub-region system information acquisition module is as follows:

[0015] In this embodiment, it should be specifically explained that the comprehensive parameters refer to the average operation time parameter of sub-area users, the user satisfaction parameter of sub-area, the response time parameter of sub-area, the processing speed parameter of sub-area, the resource occupancy rate parameter of sub-area, the number of system operation errors parameter of sub-area, the false recognition rate parameter of sub-area, the rejection rate parameter of sub-area, the average recognition time parameter of sub-area, the number of unauthorized accesses to sub-area, the number of data leakages to sub-area, and the number of permission changes to sub-area;

[0016] The average operation time parameter of the sub-area users refers to the average operation time t of the users in the i-th sub-area when using the system. i ;

[0017] The sub-region user satisfaction parameter refers to the user satisfaction m of the i sub-region i ;

[0018] The sub-area response time parameter refers to the time y from the user request in sub-area i to the system response. i ;

[0019] The sub-area processing speed parameter refers to the processing speed v of the core function of the system information verification in the i sub-area i ;

[0020] The sub-region resource occupancy parameter refers to the occupancy rate of the system resources of the CPU in the i sub-region z i ;

[0021] The sub-region system operation error number parameter refers to the number of abnormal records generated when the sub-region system is running. i ;

[0022] The sub-region error recognition rate parameter refers to the sub-region error recognition rate ws i ;

[0023] The sub-region rejection rate parameter refers to the sub-region rejection rate js i ;

[0024] The sub-region identification average time parameter refers to the sub-region identification average time st i ;

[0025] The sub-area unauthorized access count parameter refers to the sub-area unauthorized access count f i ;

[0026] The sub-region data leakage times parameter refers to the sub-region data leakage times l i ;

[0027] The sub-region authority change times parameter refers to the sub-region authority change times b i .

[0028] Preferably, the specific method of collecting the sub-region user satisfaction parameter is as follows:

[0029] In the form of an online questionnaire, customers are asked to rate the recognition effect of the system, where 2 to 4 points represent poor effect, 5 to 7 points represent average effect, and 8 to 10 points represent good effect. The data is collected by sampling. The weighted average of the collected data is m. i .

[0030] Preferably, the mathematical model of the sub-region system performance coefficient is as follows:

[0031] Among them, AH iRefers to the sub-region system performance coefficient, t i refers to the average operation time of users in sub-area i when using the system, y i It refers to the time from the user request in the i sub-area to the system response, v i Refers to the processing speed of the core function of the i sub-region system information verification, z i Refers to the CPU system resource occupancy rate of the i sub-region, c i Refers to the number of abnormal records generated when the i sub-area is running, m i refers to the user satisfaction of sub-region i, and α1 refers to a constant.

[0032] Preferably, the mathematical model of the sub-region identification quality coefficient is as follows:

[0033] Among them BH i Refers to the sub-region identification quality coefficient, ws i Refers to the sub-region error rate, js ii refers to the sub-region rejection rate, st i Refers to the average time of sub-region identification.

[0034] Preferably, the mathematical model of the sub-region data security coefficient is as follows:

[0035] Among them, CH i Refers to the sub-area data security factor, fi i Refers to the number of unauthorized accesses to the sub-area, l i Refers to the number of data breaches in the sub-region, b i Refers to the number of times the sub-area permissions have been changed.

[0036] Preferably, the mathematical model of the sub-region system performance comprehensive evaluation index is as follows:

[0037] ω i =β1AH i +β2BH i +β3CH i , where ω i Refers to the comprehensive evaluation index of sub-regional system performance, AH i Refers to the coefficient of performance of the sub-area system, BH i Refers to the sub-region identification quality coefficient, CH i Refers to the sub-area data security coefficient, β1, β2, and β3 refer to weight coefficients.

[0038] Preferably, the mathematical model of the target area system performance comprehensive evaluation index is as follows:

[0039] Where ω refers to the comprehensive evaluation index of system performance in the target area, ω iRefers to the comprehensive evaluation index of sub-regional system performance.

[0040] Preferably, the preset value is a warning value for the accuracy, efficiency and data security of the image recognition of the evaluation system obtained based on industry practical experience. When the comprehensive evaluation index of the target area system performance of the target area is lower than the preset value, it means that the performance of the image recognition system in the area is poor, and corresponding measures need to be taken to optimize the accuracy, efficiency and data security of the system image recognition.

[0041] Preferably, when the comparison result of the interactive feedback module is lower than a preset value, the system will trigger an alarm function on the terminal, send a warning signal to the management personnel in the form of sound, vibration and pop-up window, and provide relevant parameters, and use artificial intelligence to help management personnel analyze the reasons affecting the comprehensive evaluation index of system performance in the target area, and further track down specific aspects that affect the comprehensive performance, such as low accuracy and efficiency of image recognition, and poor data security, and provide solutions.

[0042] Technical effects and advantages of the present invention:

[0043] 1. The present invention realizes comprehensive monitoring of the target area through precise area division. Through the sub-area division module, the target area is divided into several sub-areas, and basic information is collected in each sub-area. The basic information includes sub-area user average operation time information, sub-area user satisfaction information, sub-area response time information, sub-area processing speed information, sub-area resource occupancy rate information, sub-area system operation error number information, sub-area misrecognition rate information, sub-area rejection rate information, sub-area recognition average time information, sub-area unauthorized access number information, sub-area data leakage number information, sub-area authority change number information, covering the three aspects of the electronic certificate management system: quality information, system performance information and data security information, thereby providing a more comprehensive and detailed monitoring method for the overall performance of the electronic certificate management system;

[0044] 2. By conducting an in-depth analysis of the collected data, the present invention establishes a mathematical model that can comprehensively measure the overall performance of the electronic certificate management system. By establishing such a comprehensive model, the present invention can better measure the overall performance of the electronic certificate management system from different dimensions. This comprehensive evaluation method can more comprehensively understand the overall performance of the electronic certificate management system during actual operation, thereby improving the overall work efficiency, data security and practicality of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a schematic diagram of the overall structure of the present invention. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] As attached Figure 1 An electronic certificate management system based on image recognition is shown, including a sub-area division module, a sub-area system information collection module, a sub-area image recognition system efficiency comprehensive analysis module, a target area image recognition system efficiency comprehensive analysis module, an image recognition system efficiency judgment module and an interactive feedback module.

[0048] The output end of the sub-region division module is connected to the input end of the sub-region system information collection module by telecommunication, the output end of the sub-region system information collection module is connected to the input end of the sub-region image recognition system efficiency comprehensive analysis module by telecommunication, the output end of the sub-region image recognition system efficiency comprehensive analysis module is connected to the input end of the target region image recognition system efficiency comprehensive analysis module by telecommunication, the output end of the target region image recognition system efficiency comprehensive analysis module is connected to the input end of the image recognition system efficiency judgment module by telecommunication, and the output end of the image recognition system efficiency judgment module is connected to the input end of the interactive feedback module by telecommunication.

[0049] The sub-area division module is used to record the system to be monitored as the target monitoring area, divide the target monitoring area into sub-monitoring areas according to the system service area, and mark them as 1, 2, 3...i in sequence;

[0050] It should be specifically explained in this embodiment that the system service area refers to the area covered by each service terminal of the system;

[0051] The sub-region system information collection module includes a recognition quality information collection unit, a system performance information collection unit, a user behavior information collection unit and a data security information collection unit, which are used to collect data from the sub-region to obtain comprehensive parameters and output the comprehensive parameters to the sub-region image recognition system performance comprehensive analysis module;

[0052] In a preferred technical solution of the present application, the specific method for obtaining the comprehensive parameters of each sub-region in the sub-region system information acquisition module is as follows:

[0053] In this embodiment, it should be specifically explained that the comprehensive parameters refer to the average operation time parameter of sub-area users, the user satisfaction parameter of sub-area, the response time parameter of sub-area, the processing speed parameter of sub-area, the resource occupancy rate parameter of sub-area, the number of system operation errors parameter of sub-area, the false recognition rate parameter of sub-area, the rejection rate parameter of sub-area, the average recognition time parameter of sub-area, the number of unauthorized accesses to sub-area, the number of data leakages to sub-area, and the number of permission changes to sub-area;

[0054] The average operation time parameter of the sub-area users refers to the average operation time t of the users in the i-th sub-area when using the system. i ;

[0055] The sub-region user satisfaction parameter refers to the user satisfaction m of the i sub-region i ;

[0056] The sub-area response time parameter refers to the time y from the user request in sub-area i to the system response. u ;

[0057] The sub-area processing speed parameter refers to the processing speed v of the core function of the system information verification in the i sub-area i ;

[0058] The sub-region resource occupancy parameter refers to the occupancy rate of the system resources of the CPU in the i sub-region z i ;

[0059] The sub-region system operation error number parameter refers to the number of abnormal records generated when the sub-region system is running. i ;

[0060] The sub-region error recognition rate parameter refers to the sub-region error recognition rate ws i ;

[0061] The sub-region rejection rate parameter refers to the sub-region rejection rate js i ;

[0062] The sub-region identification average time parameter refers to the sub-region identification average time st i ;

[0063] The sub-area unauthorized access count parameter refers to the sub-area unauthorized access count f i ;

[0064] The sub-region data leakage times parameter refers to the sub-region data leakage times l i ;

[0065] The sub-region authority change times parameter refers to the sub-region authority change times b i ;

[0066] It should be specifically explained in this embodiment that the parameters of the average operation time of sub-region users, the response time of sub-regions, the processing speed of sub-regions, the resource occupation of sub-regions, the number of system operation errors of sub-regions, the false recognition rate of sub-regions, the rejection rate of sub-regions, the average recognition time of sub-regions, the number of unauthorized accesses of sub-regions, the number of data leakages of sub-regions, and the number of authority changes of sub-regions are all obtained by conventional methods, such as obtaining the number of system operation errors of sub-regions, the number of unauthorized accesses of sub-regions, and the number of data leakages of sub-regions through the system operation log, and therefore are not specifically limited in this embodiment;

[0067] It should be specifically explained in this embodiment that the specific collection method of the sub-region user satisfaction parameter is as follows:

[0068] In the form of an online questionnaire, customers are asked to rate the recognition effect of the system, where 2 to 4 points represent poor effect, 5 to 7 points represent average effect, and 8 to 10 points represent good effect. The data is collected by sampling. The weighted average of the collected data is m. i ;

[0069] The sub-region image recognition system performance comprehensive analysis module is used to import the data collected in the sub-region system information collection module into the mathematical model of the sub-region system performance coefficient, the mathematical model of the sub-region recognition quality coefficient, the mathematical model of the sub-region data security coefficient and the mathematical model of the sub-region system performance comprehensive evaluation index and calculate to obtain the sub-region system performance coefficient, the sub-region recognition quality coefficient, the sub-region data security coefficient and the sub-region system performance comprehensive evaluation index;

[0070] It should be specifically explained in this embodiment that the mathematical model of the sub-region system performance coefficient is as follows:

[0071] Among them, AH i Refers to the sub-region system performance coefficient, t i refers to the average operation time of users in sub-area i when using the system, y i It refers to the time from the user request in the i sub-area to the system response, v i Refers to the processing speed of the core function of the i sub-region system information verification, z i Refers to the CPU system resource occupancy rate of the i sub-region, c i Refers to the number of abnormal records generated when the i sub-area is running, m i refers to the user satisfaction in sub-region i, and α1 refers to a constant;

[0072] It should be specifically explained in this embodiment that the mathematical model of the sub-region identification quality coefficient is as follows:

[0073] Among them BH i Refers to the sub-region identification quality coefficient, ws i Refers to the sub-region error rate, js i refers to the sub-region rejection rate, st i Refers to the average time of sub-region identification;

[0074] It should be specifically explained in this embodiment that the mathematical model of the sub-region data security coefficient is as follows:

[0075] Among them, CH i Refers to the sub-area data security factor, f i Refers to the number of unauthorized accesses to the sub-area, l i Refers to the number of data breaches in the sub-region, b i Refers to the number of times the sub-area permissions have been changed;

[0076] It should be specifically explained in this embodiment that the mathematical model of the sub-region system performance comprehensive evaluation index is as follows:

[0077] ω i =β1AH i +β2BH i +β3CH i , where ω i Refers to the comprehensive evaluation index of sub-regional system performance, AH i Refers to the coefficient of performance of the sub-area system, BH i Refers to the sub-region identification quality coefficient, CH i Refers to the data security coefficient of the sub-region, β1, β2, β3 refer to the weight coefficients;

[0078] The target area image recognition system performance comprehensive analysis module is used to import the data obtained by the sub-area image recognition system performance comprehensive analysis module into the mathematical model of the target area system performance comprehensive evaluation index and perform calculations to obtain the target area system performance comprehensive evaluation index;

[0079] It should be specifically explained in this embodiment that the mathematical model of the target area system performance comprehensive evaluation index is as follows:

[0080] Where ω refers to the comprehensive evaluation index of system performance in the target area, ω i Refers to the comprehensive evaluation index of sub-regional system performance.

[0081] The image recognition system performance judgment module is used to compare the target area system performance comprehensive evaluation index with the preset value, and input the comparison result into the interactive feedback module;

[0082] What needs to be specifically explained in this embodiment is that the preset value is a warning value for evaluating the accuracy, efficiency and data security of the system image recognition obtained based on industry practical experience. When the comprehensive evaluation index of the target area system performance in the target area is lower than the preset value, it means that the performance of the image recognition system in the area is poor, and corresponding measures need to be taken to optimize the accuracy, efficiency and data security of the system image recognition.

[0083] The interactive feedback module is used to import the comparison result into the administrator terminal, and when the comparison result of the comprehensive evaluation index of the target area system performance is lower than the preset value, an alarm will be issued to the administrator's equipment;

[0084] What needs to be specifically explained in this embodiment is that when the comparison result of the interactive feedback module is lower than the preset value, the system will trigger the alarm function on the terminal, send a warning signal to the management personnel in the form of sound, vibration and pop-up window, and give relevant parameters, and use artificial intelligence to help management personnel analyze the reasons affecting the comprehensive evaluation index of system performance in the target area, and further track down specific aspects affecting the comprehensive performance, such as low accuracy and efficiency of image recognition, and poor data security, and provide solutions.

[0085] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0086] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An electronic certificate management system based on image recognition, characterized in that: include: Sub-region division module, sub-region system information collection module, sub-region image recognition system efficiency comprehensive analysis module, target region image recognition system efficiency comprehensive analysis module, image recognition system efficiency judgment module and interactive feedback module; Sub-area division module: used to record the system to be monitored as the target monitoring area, divide the target monitoring area into sub-monitoring areas according to the system service area, and mark them as 1, 2, 3...i in sequence; Sub-region system information collection module: including recognition quality information collection unit, system performance information collection unit, user behavior information collection unit and data security information collection unit, used to collect data from sub-regions to obtain comprehensive parameters and output the comprehensive parameters to the sub-region image recognition system performance comprehensive analysis module; Sub-region image recognition system performance comprehensive analysis module: used to import the data collected in the sub-region system information collection module into the mathematical model of the sub-region system performance coefficient, the mathematical model of the sub-region recognition quality coefficient, the mathematical model of the sub-region data security coefficient and the mathematical model of the sub-region system performance comprehensive evaluation index and calculate, and obtain the sub-region system performance coefficient, the sub-region recognition quality coefficient, the sub-region data security coefficient and the sub-region system performance comprehensive evaluation index; Target area image recognition system performance comprehensive analysis module: used to import the data obtained by the sub-area image recognition system performance comprehensive analysis module into the mathematical model of the target area system performance comprehensive evaluation index and perform calculations to obtain the target area system performance comprehensive evaluation index; Image recognition system performance judgment module: used to compare the comprehensive evaluation index of the target area system performance with the preset value, and input the comparison result into the interactive feedback module; Interactive feedback module: used to import the comparison results into the administrator terminal. When the comparison result of the comprehensive evaluation index of the target area system performance is lower than the preset value, an alarm will be issued to the administrator's equipment.

2. The electronic certificate management system based on image recognition according to claim 1, characterized in that: The specific method for obtaining the comprehensive parameters of each sub-region in the sub-region system information acquisition module is as follows: In this embodiment, it should be specifically explained that the comprehensive parameters refer to the average operation time parameter of sub-area users, the user satisfaction parameter of sub-area, the response time parameter of sub-area, the processing speed parameter of sub-area, the resource occupancy rate parameter of sub-area, the number of system operation errors parameter of sub-area, the false recognition rate parameter of sub-area, the rejection rate parameter of sub-area, the average recognition time parameter of sub-area, the number of unauthorized accesses to sub-area, the number of data leakages to sub-area, and the number of permission changes to sub-area; The average operation time parameter of the sub-area users refers to the average operation time t of the users in the i-th sub-area when using the system. i ; The sub-region user satisfaction parameter refers to the user satisfaction m of the i sub-region i ; The sub-area response time parameter refers to the time y from the user request in sub-area i to the system response. i ; The sub-area processing speed parameter refers to the processing speed v of the core function of the system information verification in the i sub-area i ; The sub-region resource occupancy parameter refers to the occupancy rate of the system resources of the CPU in the i sub-region z i ; The sub-region system operation error number parameter refers to the number of abnormal records generated when the sub-region system is running. i ; The sub-region error recognition rate parameter refers to the sub-region error recognition rate ws i ; The sub-region rejection rate parameter refers to the sub-region rejection rate js i ; The sub-region identification average time parameter refers to the sub-region identification average time st i ; The sub-area unauthorized access count parameter refers to the sub-area unauthorized access count f i ; The sub-region data leakage times parameter refers to the sub-region data leakage times l i ; The sub-region authority change times parameter refers to the sub-region authority change times b i .

3. The electronic certificate management system based on image recognition according to claim 1, characterized in that: The mathematical model of the sub-region system performance coefficient is as follows: Among them, AH i Refers to the sub-region system performance coefficient, t i refers to the average operation time of users in sub-area i when using the system, y i It refers to the time from the user request in the i sub-area to the system response, v i Refers to the processing speed of the core function of the i sub-region system information verification, z i Refers to the CPU system resource occupancy rate of the i sub-region, c i Refers to the number of abnormal records generated when the i sub-area is running, m i refers to the user satisfaction of sub-region i, and α1 refers to a constant.

4. The electronic certificate management system based on image recognition according to claim 1, characterized in that: The mathematical model of the sub-region identification quality coefficient is as follows: Among them BH i Refers to the sub-region identification quality coefficient, ws i Refers to the sub-region error rate, js i refers to the sub-region rejection rate, st i Refers to the average time of sub-region identification.

5. The electronic certificate management system based on image recognition according to claim 1, characterized in that: The mathematical model of the sub-region data security coefficient is as follows: Among them, CH i Refers to the sub-area data security factor, f i Refers to the number of unauthorized accesses to the sub-area, l i Refers to the number of data breaches in the sub-region, b i Refers to the number of times the sub-area permissions have been changed.

6. The electronic certificate management system based on image recognition according to claim 1, characterized in that: The mathematical model of the sub-region system performance comprehensive evaluation index is as follows: ω i =β1AH i +β2BH i +β3CH i , where ω i Refers to the comprehensive evaluation index of sub-regional system performance, AH i Refers to the coefficient of performance of the sub-area system, BH i Refers to the sub-region identification quality coefficient, CH i Refers to the sub-area data security coefficient, β1, β2, and β3 refer to weight coefficients.

7. The electronic certificate management system based on image recognition according to claim 1, characterized in that: The mathematical model of the comprehensive evaluation index of the target area system performance is as follows: Where ω refers to the comprehensive evaluation index of system performance in the target area, ω i Refers to the comprehensive evaluation index of sub-regional system performance.

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