Electronic government affair service monitoring system and method

Abstract

The invention provides an electronic government affair service supervision system and method. The system comprises a user experience evaluation module, a safety risk evaluation module, a service validity evaluation module, an information updating efficiency evaluation module and a supervision improvement module. The user experience evaluation module is used for estimating the experience index of the user using the e-government affair service platform; the security risk assessment module is used for estimating an information security index of the e-government service platform; the service validity evaluation module is used for estimating a service validity index of the e-government service platform; the information updating efficiency evaluation module is used for estimating an information updating efficiency index of the e-government service platform; the supervision improvement module is used for generating an improvement strategy according to results of the user experience evaluation module, the security risk evaluation module, the service validity evaluation module and the information updating efficiency evaluation module, and creating a continuous optimization supervision model; evaluation and supervision improvement of all aspects of the e-government service platform are realized.

Description

Technical Field

[0001] The present invention relates to the field of software informatization, and in particular to an electronic government service monitoring system and method. Background Art

[0002] Currently, providing government services through the Internet has become the mainstream method. It is necessary to establish a monitoring system that comprehensively evaluates all aspects of the e-government service platform. Through the monitoring system, each platform should be urged to improve and optimize, so as to enhance the level of government services. Summary of the invention

[0003] In order to evaluate, supervise and improve various aspects of an e-government service platform, the present invention designs an e-government service monitoring system and method.

[0004] The technical solution adopted by the present invention is an e-government service monitoring system: It includes user experience assessment module, security risk assessment module, service effectiveness assessment module, information update efficiency assessment module and supervision and improvement module.

[0005] The user experience evaluation module is used to estimate the user experience index of the e-government service platform, specifically in the following way: A1: Collect user satisfaction scores after using the e-government service platform, with a full score of S e , user rating is S 0 , then the user satisfaction score S=(S 0 ÷S e )×10.

[0006] A2, suppose user i The cumulative number of operation steps when using the service is S i , S i The maximum value in is S i-max , S i The minimum value in is S i-min , the total number of users is n, then the operation complexity score is: .

[0007] A3, suppose user i The cumulative time of using the service is T i , the total number of users is n, then the average time a user uses the service is: ; The shortest service time among similar e-government service platforms is T ideal , then the usage time score is: ,in a is the decay rate.

[0008] A4, combining the user satisfaction score, operation complexity score, and usage time score, we get the user experience index CUXI = [S + (10-O) + V] ÷ 3.

[0009] The security risk assessment module is used to estimate the information security index of the e-government service platform in the following ways: Assume that the number of data loss events on the e-government service platform in the previous year is D, the number of system interruptions is L, and the total number of system vulnerability inspections is E. 0 , the number of times vulnerabilities were found is E p ; The cumulative number of security measures taken for data loss, system interruption, and system vulnerability is A e , then the information security index: The formula uses the form of adding 1 to the value to prevent the denominator from having a value of 0.

[0010] The service effectiveness evaluation module is used to estimate the service effectiveness index of the e-government service platform in the following way: B1, let the total population of a certain area be m 0 , the number of people in this area registered on the e-government service platform is m e , set the effective service ratio threshold Q 0 , when (m e ÷m 0 )≥Q 0 , it is determined that this area implements effective service, otherwise this area does not implement effective service.

[0011] B2, let the number of service areas of the e-government service platform be C 0 , where the number of effective service areas is C e , then the effective service area ratio P c =C e ÷C 0 .

[0012] B3, combine the effective service ratio and the effective service area ratio to calculate the service effectiveness index: , where P e =m e ÷m 0 , g is the weight coefficient, 0<g<1; Pe j For the j The effective service ratio of each region.

[0013] The information update efficiency evaluation module is used to estimate the information update efficiency index of the e-government service platform, specifically in the following way: C1, records the time difference △T between the kth information update and the last update k, calculate the average time interval for information updates: ,in x Indicates the cumulative number of updates; △T 1 It is the time difference between the first information update and the initial release of the information.

[0014] C2, compare the updated content with the official policy information, similarity SL = (V 1 •V 2 )÷(|V 1 |×|V 2 |), where V 1 is the word vector representation of the updated content, V 2 is the word vector representation of official policy information, |V 1 |、|V 2 | respectively represent vector V 1 、V 2 Model.

[0015] C3, check whether the updated content contains the five types of content: title, number, date, content, and summary. The completeness of the updated content CL = PF ÷ 5, where PF is the cumulative number of types included in the updated content.

[0016] C4, calculate the quality Q of the kth information update k =β×SL k +γ×CL k , where β and γ are weight coefficients, SL k is the similarity of the kth information update, CL k is the completeness of the information update at the kth time, then the information update efficiency index is: .

[0017] The supervision and improvement module is used to generate improvement strategies based on the results of the user experience evaluation module, the security risk evaluation module, the service effectiveness evaluation module, and the information update efficiency evaluation module, and to create a continuous optimization monitoring model. The specific method is as follows: D1, identify areas that need improvement and generate improvement strategies: When CUXI is lower than the corresponding set threshold, simplify the operation steps until CUXI is greater than or equal to the set threshold; When ISRI is lower than the corresponding set threshold, the frequency of system vulnerability inspection is increased and security measures are taken for the vulnerabilities until ISRI is greater than or equal to the set threshold; When SCAI is lower than the corresponding threshold, the publicity investment cost of the e-government service platform will be increased until SCAI is greater than or equal to the set threshold; When IUE is lower than the corresponding set threshold, the information update time interval is shortened and the update content quality is improved until IUE is greater than or equal to the set threshold.

[0018] D2, let the user experience evaluation module, security risk evaluation module, service effectiveness evaluation module, and information update efficiency evaluation module be module 1, module 2, module 3, and module 4 respectively, let W m is the weight of the mth module, △H m is the exponential improvement value of the mth module, then: △H 1 =(CUXI after -CUXI before )÷CUXI before ; △H 2 =(ISRI after -ISRI before )÷ISRI before ; △H 3 =(SCAI after -SCAI before )÷SCAI before ; △H 4 =(IUE after -IUE before )÷IUE before ; The index with the subscript before is the value before the improvement, and the index with the subscript after is the value after the improvement; Comprehensive improvement index: ,in s is the attenuation coefficient. When IMP < 0.3, the platform improvement is judged to be at an inefficient level; when 0.3 ≤ IMP < 0.7, the platform improvement is judged to be at a moderate level; when IMP ≥ 0.7, the platform improvement is judged to be at an efficient level.

[0019] D3, create a continuous optimization monitoring model to urge the platform to continuously improve: ; Where T cycle For the improvement cycle, N strategies is the number of strategies implemented, N total is the total number of strategies; when the comprehensive improvement index IMP increases, or the improvement cycle T cycle If the value decreases, or the growth rate of the logarithmic function exceeds the set threshold, it means that the platform improvement strategy adopted is correct; otherwise, try other improvement strategies.

[0020] A method for monitoring e-government services: Step 1: Estimate the user experience index of the e-government service platform by: A1: Collect user satisfaction scores after using the e-government service platform, with a full score of S e , user rating is S 0 , then the user satisfaction score S=(S 0 ÷S e )×10.

[0021] A2, suppose user i The cumulative number of operation steps when using the service is S i , S i The maximum value in is S i-max , S i The minimum value in is S i-min , the total number of users is n, then the operation complexity score is: .

[0022] A3, suppose user i The cumulative time of using the service is T i , the total number of users is n, then the average time a user uses the service is: ; The shortest service time among similar e-government service platforms is T ideal , then the usage time score is: ,in a is the decay rate.

[0023] A4, combining the user satisfaction score, operation complexity score, and usage time score, we get the user experience index CUXI = [S + (10-O) + V] ÷ 3.

[0024] Step 2: Estimate the information security index of the e-government service platform by: Assume that the number of data loss events on the e-government service platform in the previous year is D, the number of system interruptions is L, and the total number of system vulnerability inspections is E. 0 , the number of times vulnerabilities were found is E p ; The cumulative number of security measures taken for data loss, system interruption, and system vulnerability is A e , then the information security index: The formula uses the form of adding 1 to the value to prevent the denominator from having a value of 0.

[0025] Step 3: Estimate the service effectiveness index of the e-government service platform by: B1, let the total population of a certain area be m 0 , the number of people in this area registered on the e-government service platform is m e , set the effective service ratio threshold Q0 , when (m e ÷m 0 )≥Q 0 , it is determined that this area implements effective service, otherwise this area does not implement effective service.

[0026] B2, let the number of service areas of the e-government service platform be C 0 , where the number of effective service areas is C e , then the effective service area ratio P c =C e ÷C 0 .

[0027] B3, combine the effective service ratio and the effective service area ratio to calculate the service effectiveness index: , where P e =m e ÷m 0 , g is the weight coefficient, 0<g<1; Pe j For the j The effective service ratio of each region.

[0028] Step 4: Estimate the information update efficiency index of the e-government service platform. The specific method is as follows: C1, records the time difference △T between the kth information update and the last update k , calculate the average time interval for information updates: ,in x Indicates the cumulative number of updates; △T 1 It is the time difference between the first information update and the initial release of the information.

[0029] C2, compare the updated content with the official policy information, similarity SL = (V 1 •V 2 )÷(|V 1 |×|V 2 |), where V 1 is the word vector representation of the updated content, V 2 is the word vector representation of official policy information, |V 1 |、|V 2 | respectively represent vector V 1 、V 2 Model.

[0030] C3, check whether the updated content contains the five types of content: title, number, date, content, and summary. The completeness of the updated content CL = PF ÷ 5, where PF is the cumulative number of types included in the updated content.

[0031] C4, calculate the quality Q of the kth information updatek =β×SL k +γ×CL k , where β and γ are weight coefficients, SL k is the similarity of the kth information update, CL k is the completeness of the information update at the kth time, then the information update efficiency index is: .

[0032] Step 5: Generate improvement strategies based on the results of the user experience assessment module, security risk assessment module, service effectiveness assessment module, and information update efficiency assessment module, and create a continuous optimization monitoring model. The specific methods are as follows: D1, identify areas that need improvement and generate improvement strategies: When CUXI is lower than the corresponding set threshold, simplify the operation steps until CUXI is greater than or equal to the set threshold; When ISRI is lower than the corresponding set threshold, the frequency of system vulnerability inspection is increased and security measures are taken for the vulnerabilities until ISRI is greater than or equal to the set threshold; When SCAI is lower than the corresponding threshold, the publicity investment cost of the e-government service platform will be increased until SCAI is greater than or equal to the set threshold; When IUE is lower than the corresponding set threshold, the information update time interval is shortened and the update content quality is improved until IUE is greater than or equal to the set threshold.

[0033] D2, let the user experience evaluation module, security risk evaluation module, service effectiveness evaluation module, and information update efficiency evaluation module be module 1, module 2, module 3, and module 4 respectively, let W m is the weight of the mth module, △H m is the exponential improvement value of the mth module, then: △H 1 =(CUXI after -CUXI before )÷CUXI before ; △H 2 =(ISRI after -ISRI before )÷ISRI before ; △H 3 =(SCAI after -SCAI before )÷SCAI before ; △H 4 =(IUE after -IUE before )÷IUEbefore ; The index with the subscript before is the value before the improvement, and the index with the subscript after is the value after the improvement; Comprehensive improvement index: ,in s is the attenuation coefficient. When IMP < 0.3, the platform improvement is judged to be at an inefficient level; when 0.3 ≤ IMP < 0.7, the platform improvement is judged to be at a moderate level; when IMP ≥ 0.7, the platform improvement is judged to be at an efficient level.

[0034] D3, create a continuous optimization monitoring model to urge the platform to continuously improve: ; Where T cycle For the improvement cycle, N strategies is the number of strategies implemented, N total is the total number of strategies; when the comprehensive improvement index IMP increases, or the improvement cycle T cycle If the value decreases, or the growth rate of the logarithmic function exceeds the set threshold, it means that the platform improvement strategy adopted is correct; otherwise, try other improvement strategies.

[0035] The electronic government service monitoring system and method of the present invention have the following advantages: (1) The user experience evaluation module, security risk evaluation module, service effectiveness evaluation module, and information update efficiency evaluation module were successively created to conduct a comprehensive evaluation of the e-government platform, which is a remarkable creativity; (2) Generate improvement strategies based on the results of each evaluation module and create a continuous optimization monitoring model to urge the platform to continuously improve with novel ideas and strong creativity.

[0036] Other features and advantages of the present invention will be set forth in the following description or may be learned by practicing the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The drawings are only for the purpose of illustrating particular embodiments and are not to be construed as limiting the invention.

[0038] Figure 1 It is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0039] The following will further describe in detail an e-government service monitoring system and method of the present invention in conjunction with the accompanying drawings and embodiments.

[0040] The technical solution adopted by the present invention is an e-government service monitoring system: It includes user experience assessment module, security risk assessment module, service effectiveness assessment module, information update efficiency assessment module and supervision and improvement module.

[0041] The user experience evaluation module is used to estimate the user experience index of the e-government service platform, specifically in the following way: A1: Collect user satisfaction scores after using the e-government service platform, with a full score of S e , user rating is S 0 , then the user satisfaction score S=(S 0 ÷S e )×10.

[0042] A2, suppose user i The cumulative number of operation steps when using the service is S i , S i The maximum value in is S i-max , S i The minimum value in is S i-min , the total number of users is n, then the operation complexity score is: .

[0043] A3, suppose user i The cumulative time of using the service is T i , the total number of users is n, then the average time a user uses the service is: ; The shortest service time among similar e-government service platforms is T ideal , then the usage time score is: ,in a is the decay rate.

[0044] A4, combining the user satisfaction score, operation complexity score, and usage time score, we get the user experience index CUXI = [S + (10-O) + V] ÷ 3.

[0045] The security risk assessment module is used to estimate the information security index of the e-government service platform in the following ways: Assume that the number of data loss events on the e-government service platform in the previous year is D, the number of system interruptions is L, and the total number of system vulnerability inspections is E. 0 , the number of times vulnerabilities were found is E p ; The cumulative number of security measures taken for data loss, system interruption, and system vulnerability is A e , then the information security index: The formula uses the form of adding 1 to the value to prevent the denominator from having a value of 0.

[0046] The service effectiveness evaluation module is used to estimate the service effectiveness index of the e-government service platform in the following way: B1, let the total population of a certain area be m 0, the number of people in this area registered on the e-government service platform is m e , set the effective service ratio threshold Q 0 , when (m e ÷m 0 )≥Q 0 , it is determined that this area implements effective service, otherwise this area does not implement effective service.

[0047] B2, let the number of service areas of the e-government service platform be C 0 , where the number of effective service areas is C e , then the effective service area ratio P c =C e ÷C 0 .

[0048] B3, combine the effective service ratio and the effective service area ratio to calculate the service effectiveness index: , where P e =m e ÷m 0 , g is the weight coefficient, 0<g<1; Pe j For the j The effective service ratio of each region.

[0049] The information update efficiency evaluation module is used to estimate the information update efficiency index of the e-government service platform, specifically in the following way: C1, records the time difference △T between the kth information update and the last update k , calculate the average time interval for information updates: ,in x Indicates the cumulative number of updates; △T 1 It is the time difference between the first information update and the initial release of the information.

[0050] C2, compare the updated content with the official policy information, similarity SL = (V 1 •V 2 )÷(|V 1 |×|V 2 |), where V 1 is the word vector representation of the updated content, V 2 is the word vector representation of official policy information, |V 1 |、|V 2 | respectively represent vector V 1 、V 2 Model.

[0051] C3, check whether the updated content contains the five types of content: title, number, date, content, and summary. The completeness of the updated content CL = PF ÷ 5, where PF is the cumulative number of types included in the updated content.

[0052] C4, calculate the quality Q of the kth information update k =β×SL k +γ×CL k , where β and γ are weight coefficients, SL k is the similarity of the kth information update, CL k is the completeness of the information update at the kth time, then the information update efficiency index is: .

[0053] The supervision and improvement module is used to generate improvement strategies based on the results of the user experience evaluation module, the security risk evaluation module, the service effectiveness evaluation module, and the information update efficiency evaluation module, and to create a continuous optimization monitoring model. The specific method is as follows: D1, identify areas that need improvement and generate improvement strategies: When CUXI is lower than the corresponding set threshold, simplify the operation steps until CUXI is greater than or equal to the set threshold; When ISRI is lower than the corresponding set threshold, the frequency of system vulnerability inspection is increased and security measures are taken for the vulnerabilities until ISRI is greater than or equal to the set threshold; When SCAI is lower than the corresponding threshold, the publicity investment cost of the e-government service platform will be increased until SCAI is greater than or equal to the set threshold; When IUE is lower than the corresponding set threshold, the information update time interval is shortened and the update content quality is improved until IUE is greater than or equal to the set threshold.

[0054] D2, let the user experience evaluation module, security risk evaluation module, service effectiveness evaluation module, and information update efficiency evaluation module be module 1, module 2, module 3, and module 4 respectively, let W m is the weight of the mth module, △H m is the exponential improvement value of the mth module, then: △H 1 =(CUXI after -CUXI before )÷CUXI before ; △H 2 =(ISRI after -ISRI before )÷ISRI before ; △H 3 =(SCAIafter -SCAI before )÷SCAI before ; △H 4 =(IUE after -IUE before )÷IUE before ; The index with the subscript before is the value before the improvement, and the index with the subscript after is the value after the improvement; Comprehensive improvement index: ,in s is the attenuation coefficient. When IMP < 0.3, the platform improvement is judged to be at an inefficient level; when 0.3 ≤ IMP < 0.7, the platform improvement is judged to be at a moderate level; when IMP ≥ 0.7, the platform improvement is judged to be at an efficient level.

[0055] D3, create a continuous optimization monitoring model to urge the platform to continuously improve: ; Where T cycle For the improvement cycle, N strategies is the number of strategies implemented, N total is the total number of strategies; when the comprehensive improvement index IMP increases, or the improvement cycle T cycle If the value decreases, or the growth rate of the logarithmic function exceeds the set threshold, it means that the platform improvement strategy adopted is correct; otherwise, try other improvement strategies.

[0056] like Figure 1 As shown, a method for monitoring e-government services: Step 1: Estimate the user experience index of the e-government service platform by: A1: Collect user satisfaction scores after using the e-government service platform, with a full score of S e , user rating is S 0 , then the user satisfaction score S=(S 0 ÷S e )×10.

[0057] A2, suppose user i The cumulative number of operation steps when using the service is S i , S i The maximum value in is S i-max , S i The minimum value in S i-min , the total number of users is n, then the operation complexity score is: .

[0058] A3, suppose user iThe cumulative time of using the service is T i , the total number of users is n, then the average time a user uses the service is: ; The shortest service time among similar e-government service platforms is T ideal , then the usage time score is: ,in a is the decay rate.

[0059] A4, combining the user satisfaction score, operation complexity score, and usage time score, we get the user experience index CUXI = [S + (10-O) + V] ÷ 3.

[0060] Step 2: Estimate the information security index of the e-government service platform by: Assume that the number of data loss events on the e-government service platform in the previous year is D, the number of system interruptions is L, and the total number of system vulnerability inspections is E. 0 , the number of times vulnerabilities were found is E p ; The cumulative number of security measures taken for data loss, system interruption, and system vulnerability is A e , then the information security index: The formula uses the form of adding 1 to the value to prevent the denominator from having a value of 0.

[0061] Step 3: Estimate the service effectiveness index of the e-government service platform by: B1, let the total population of a certain area be m 0 , the number of people in this area registered on the e-government service platform is m e , set the effective service ratio threshold Q 0 , when (m e ÷m 0 )≥Q 0 , it is determined that this area implements effective service, otherwise this area does not implement effective service.

[0062] B2, let the number of service areas of the e-government service platform be C 0 , where the number of effective service areas is C e , then the effective service area ratio P c =C e ÷C 0 .

[0063] B3, combine the effective service ratio and the effective service area ratio to calculate the service effectiveness index: , where P e =m e ÷m 0 , g is the weight coefficient, 0<g<1; Pe j For thej The effective service ratio of each region.

[0064] Step 4: Estimate the information update efficiency index of the e-government service platform. The specific method is as follows: C1, records the time difference △T between the kth information update and the last update k , calculate the average time interval for information updates: ,in x Indicates the cumulative number of updates; △T 1 It is the time difference between the first information update and the initial release of the information.

[0065] C2, compare the updated content with the official policy information, similarity SL = (V 1 •V 2 )÷(|V 1 |×|V 2 |), where V 1 is the word vector representation of the updated content, V 2 is the word vector representation of official policy information, |V 1 |、|V 2 | respectively represent vector V 1 、V 2 Model.

[0066] C3, check whether the updated content contains the five types of content: title, number, date, content, and summary. The completeness of the updated content CL = PF ÷ 5, where PF is the cumulative number of types included in the updated content.

[0067] C4, calculate the quality Q of the kth information update k =β×SL k +γ×CL k , where β and γ are weight coefficients, SL k is the similarity of the kth information update, CL k is the completeness of the information update at the kth time, then the information update efficiency index is: .

[0068] Step 5: Generate improvement strategies based on the results of the user experience assessment module, security risk assessment module, service effectiveness assessment module, and information update efficiency assessment module, and create a continuous optimization monitoring model. The specific methods are as follows: D1, identify areas that need improvement and generate improvement strategies: When CUXI is lower than the corresponding set threshold, simplify the operation steps until CUXI is greater than or equal to the set threshold; When ISRI is lower than the corresponding set threshold, the frequency of system vulnerability inspection is increased and security measures are taken for the vulnerabilities until ISRI is greater than or equal to the set threshold; When SCAI is lower than the corresponding threshold, the publicity investment cost of the e-government service platform will be increased until SCAI is greater than or equal to the set threshold; When IUE is lower than the corresponding set threshold, the information update time interval is shortened and the update content quality is improved until IUE is greater than or equal to the set threshold.

[0069] D2, let the user experience evaluation module, security risk evaluation module, service effectiveness evaluation module, and information update efficiency evaluation module be module 1, module 2, module 3, and module 4 respectively, let W m is the weight of the mth module, △H m is the exponential improvement value of the mth module, then: △H 1 =(CUXI after -CUXI before )÷CUXI before ; △H 2 =(ISRI after -ISRI before )÷ISRI before ; △H 3 =(SCAI after -SCAI before )÷SCAI before ; △H 4 =(IUE after -IUE before )÷IUE before ; The index with the subscript before is the value before the improvement, and the index with the subscript after is the value after the improvement; Comprehensive improvement index: ,in s is the attenuation coefficient. When IMP < 0.3, the platform improvement is judged to be at an inefficient level; when 0.3 ≤ IMP < 0.7, the platform improvement is judged to be at a moderate level; when IMP ≥ 0.7, the platform improvement is judged to be at an efficient level.

[0070] D3, create a continuous optimization monitoring model to urge the platform to continuously improve: ; Where T cycle For the improvement cycle, N strategies is the number of strategies implemented, N totalis the total number of strategies; when the comprehensive improvement index IMP increases, or the improvement cycle T cycle If the value decreases, or the growth rate of the logarithmic function exceeds the set threshold, it means that the platform improvement strategy adopted is correct; otherwise, try other improvement strategies.

[0071] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by any technician familiar with the technical field within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention.

Claims

1. An e-government service monitoring system, characterized in that: It includes user experience assessment module, security risk assessment module, service effectiveness assessment module, information update efficiency assessment module, and supervision and improvement module; The user experience evaluation module is used to estimate the user experience index of the e-government service platform, specifically in the following way: A1: Collect user satisfaction scores after using the e-government service platform, with a full score of S e , the user rating is S0, then the user satisfaction score S=(S0÷S e )×10; A2, suppose user i The cumulative number of operation steps when using the service is S i , S i The maximum value in is S i-max , S i The minimum value in S i-min , the total number of users is n, then the operation complexity score is: ； A3, suppose user i The cumulative duration of using the service is T i , the total number of users is n, then the average time a user uses the service is: ; The shortest service time among similar e-government service platforms is T ideal , then the usage time score is: ,in a is the decay rate; A4, combining the user satisfaction score, operation complexity score, and usage time score, we get the user experience index: CUXI=[S+(10-O)+V]÷3; The security risk assessment module is used to estimate the information security index of the e-government service platform in the following ways: Assume that the number of data loss events on the e-government service platform in the previous year is D, the number of system interruptions is L; the total number of system vulnerability inspections is E0, and the number of vulnerabilities found is E p ; The cumulative number of security measures taken for data loss, system interruption, and system vulnerability is A e , then the information security index: ； The service effectiveness evaluation module is used to estimate the service effectiveness index of the e-government service platform in the following way: B1, let the total population of a certain area be m0, and the number of people in this area registered on the e-government service platform be m e , set the effective service ratio threshold Q0, when (m e When ÷m0)≥Q0, it is determined that this area realizes effective service, otherwise this area does not realize effective service; B2, let the number of service areas of the e-government service platform be C0, of which the number of effective service areas is C e , then the effective service area ratio P c =C e ÷C0; B3, combine the effective service ratio and the effective service area ratio to calculate the service effectiveness index: , where P e =m e ÷m0, g is the weight coefficient, 0<g<1; Pe j For the j The effective service ratio of each region; The information update efficiency evaluation module is used to estimate the information update efficiency index of the e-government service platform, specifically in the following way: C1, records the time difference △T between the kth information update and the last update k , calculate the average time interval for information updates: ,in x Indicates the cumulative number of updates; △T1 is the time difference between the first information update and the first information release; C2, compare the updated content with the official policy information, similarity SL = (V1•V2) ÷ (|V1| × |V2|), where V1 is the word vector representation of the updated content, V2 is the word vector representation of the official policy information, |V1|, |V2| represent the modulus of vectors V1 and V2 respectively; C3, check whether the updated content contains the five types of content: title, number, date, content, and summary. The completeness of the updated content CL = PF ÷ 5, where PF is the cumulative number of types included in the updated content; C4, calculate the quality Q of the kth information update k =β×SL k +γ×CL k , where β and γ are weight coefficients, SL k is the similarity of the kth information update, CL k is the completeness of the kth information update, then the information update efficiency index is: ； The supervision and improvement module is used to generate improvement strategies based on the results of the user experience evaluation module, the security risk evaluation module, the service effectiveness evaluation module, and the information update efficiency evaluation module, and to create a continuous optimization monitoring model. The specific method is as follows: D1, identify areas that need improvement and generate improvement strategies: When CUXI is lower than the corresponding set threshold, simplify the operation steps until CUXI is greater than or equal to the set threshold; When ISRI is lower than the corresponding set threshold, the frequency of system vulnerability inspection is increased and security measures are taken for the vulnerabilities until ISRI is greater than or equal to the set threshold; When SCAI is lower than the corresponding threshold, the publicity investment cost of the e-government service platform will be increased until SCAI is greater than or equal to the set threshold; When IUE is lower than the corresponding set threshold, shorten the information update interval and improve the update content quality until IUE is greater than or equal to the set threshold; D2, let the user experience evaluation module, security risk evaluation module, service effectiveness evaluation module, and information update efficiency evaluation module be module 1, module 2, module 3, and module 4 respectively, let W m is the weight of the mth module, △H m is the exponential improvement value of the mth module, then: △H1=(CUXI after -CUXI before )÷CUXI before ; △H2=(ISRI after -ISRI before )÷ISRI before ; △H3=(SCAI after -SCAI before )÷SCAI before ; △H4=(IUE after -IUE before )÷IUE before ; The index with the subscript before is the value before the improvement, and the index with the subscript after is the value after the improvement; Comprehensive improvement index: ,in σ is the attenuation coefficient. When IMP < 0.3, the platform improvement is judged to be at an inefficient level; when 0.3 ≤ IMP < 0.7, the platform improvement is judged to be at a moderate level; when IMP ≥ 0.7, the platform improvement is judged to be at an efficient level. D3, create a continuous optimization monitoring model to urge the platform to continuously improve: ； Where T cycle For the improvement cycle, N strategies is the number of strategies implemented, N total is the total number of strategies; when the comprehensive improvement index IMP increases, or the improvement cycle T cycle If the value decreases, or the growth rate of the logarithmic function exceeds the set threshold, it means that the platform improvement strategy adopted is correct; otherwise, try other improvement strategies.

2. An e-government service monitoring method, characterized in that: The user experience evaluation module is used to estimate the user experience index of the e-government service platform, specifically in the following way: A1: Collect user satisfaction scores after using the e-government service platform, with a full score of S e , the user rating is S0, then the user satisfaction score S=(S0÷S e )×10; A2, suppose user i The cumulative number of operation steps when using the service is S i , S i The maximum value in is S i-max , S i The minimum value in S i-min , the total number of users is n, then the operation complexity score is: ； A3, suppose user i The cumulative duration of using the service is T i , the total number of users is n, then the average time a user uses the service is: ; The shortest service time among similar e-government service platforms is T ideal , then the usage time score is: ,in a is the decay rate; A4, combining the user satisfaction score, operation complexity score, and usage time score, we get the user experience index CUXI = [S + (10-O) + V] ÷ 3; The security risk assessment module is used to estimate the information security index of the e-government service platform in the following ways: Assume that the number of data loss events on the e-government service platform in the previous year is D, the number of system interruptions is L; the total number of system vulnerability inspections is E0, and the number of vulnerabilities found is E p ; The cumulative number of security measures taken for data loss, system interruption, and system vulnerability is A e , then the information security index: ; The service effectiveness evaluation module is used to estimate the service effectiveness index of the e-government service platform in the following way: B1, let the total population of a certain area be m0, and the number of people in this area registered on the e-government service platform be m e , set the effective service ratio threshold Q0, when (m e When ÷m0)≥Q0, it is determined that this area realizes effective service, otherwise this area does not realize effective service; B2, let the number of service areas of the e-government service platform be C0, of which the number of effective service areas is C e , then the effective service area ratio P c =C e ÷C0; B3, combine the effective service ratio and the effective service area ratio to calculate the service effectiveness index: , where P e =m e ÷m0, g is the weight coefficient, 0<g<1; Pe j For the j The effective service ratio of each region; The information update efficiency evaluation module is used to estimate the information update efficiency index of the e-government service platform, specifically in the following way: C1, records the time difference △T between the kth information update and the last update k , calculate the average time interval for information updates: ,in x Indicates the cumulative number of updates; △T1 is the time difference between the first information update and the first information release; C2, compare the updated content with the official policy information, similarity SL = (V1•V2) ÷ (|V1| × |V2|), where V1 is the word vector representation of the updated content, V2 is the word vector representation of the official policy information, |V1|, |V2| represent the modulus of vectors V1 and V2 respectively; C3, check whether the updated content contains the five types of content: title, number, date, content, and summary. The completeness of the updated content CL = PF ÷ 5, where PF is the cumulative number of types included in the updated content; C4, calculate the quality Q of the kth information update k =β×SL k +γ×CL k , where β and γ are weight coefficients, SL k is the similarity of the kth information update, CL k is the completeness of the kth information update, then the information update efficiency index is: ； The supervision and improvement module is used to generate improvement strategies based on the results of the user experience evaluation module, the security risk evaluation module, the service effectiveness evaluation module, and the information update efficiency evaluation module, and to create a continuous optimization monitoring model. The specific method is as follows: D1, identify areas that need improvement and generate improvement strategies: When CUXI is lower than the corresponding set threshold, simplify the operation steps until CUXI is greater than or equal to the set threshold; When ISRI is lower than the corresponding set threshold, the frequency of system vulnerability inspection is increased and security measures are taken for the vulnerabilities until ISRI is greater than or equal to the set threshold; When SCAI is lower than the corresponding threshold, the publicity investment cost of the e-government service platform will be increased until SCAI is greater than or equal to the set threshold; When IUE is lower than the corresponding set threshold, shorten the information update interval and improve the update content quality until IUE is greater than or equal to the set threshold; D2, let the user experience evaluation module, security risk evaluation module, service effectiveness evaluation module, and information update efficiency evaluation module be module 1, module 2, module 3, and module 4 respectively, let W m is the weight of the mth module, △H m is the exponential improvement value of the mth module, then: △H1=(CUXI after -CUXI before )÷CUXI before ; △H2=(ISRI after -ISRI before )÷ISRI before ; △H3=(SCAI after -SCAI before )÷SCAI before ; △H4=(IUE after -IUE before )÷IUE before ; The index with the subscript before is the value before the improvement, and the index with the subscript after is the value after the improvement; Comprehensive improvement index: ,in σ is the attenuation coefficient. When IMP < 0.3, the platform improvement is judged to be at an inefficient level; when 0.3 ≤ IMP < 0.7, the platform improvement is judged to be at a moderate level; when IMP ≥ 0.7, the platform improvement is judged to be at an efficient level. D3, create a continuous optimization monitoring model to urge the platform to continuously improve: ； Where T cycle For the improvement cycle, N strategies is the number of strategies implemented, N total is the total number of strategies; when the comprehensive improvement index IMP increases, or the improvement cycle T cycle If the value decreases, or the growth rate of the logarithmic function exceeds the set threshold, it means that the platform improvement strategy adopted is correct; otherwise, try other improvement strategies.

Images