Intelligent petition information management system

Abstract

The invention discloses an intelligent petition information management system, and belongs to the technical field of information management. The method is used for solving the technical problems of poor autonomous mining analysis effect and poor autonomous management prevention effect of petition information in different aspects in an existing scheme. The method comprises the following steps: performing data calculation on petition supervision data in different aspects obtained by earlier-stage processing to obtain type influence degrees corresponding to different petition types associated with a petition department, and performing data filling on a petition type supervision sequence obtained by earlier-stage processing by utilizing the type influence degrees to obtain a petition type supervision update sequence; according to department petition supervision data corresponding to different petition departments, petition influence analysis of different dimensions is implemented, and targeted petition processing management is adaptively implemented on different petition departments according to petition influence analysis results of different dimensions. Autonomous petition influence analysis and management of different petition departments and different petition types are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of information management, and in particular to an intelligent management system for petition information. Background Art

[0002] When implemented, the existing petition information management solutions basically remain at the stage of simple information recording and transfer processing by the corresponding responsible departments. They are unable to actively mine, sort and analyze the recorded petition information to obtain mining and processing data of different aspects of petition information, and thus are unable to implement targeted management and preventive measures based on the mining and processing data of different aspects. As a result, the autonomous mining and analysis of different aspects of petition information and the autonomous management and prevention effects are poor. Summary of the invention

[0003] The purpose of the present invention is to provide an intelligent management system for petition information, which is used to solve the technical problems of poor autonomous mining and analysis of different aspects of petition information and poor autonomous management and prevention effects in existing solutions.

[0004] The purpose of the present invention can be achieved through the following technical solutions: An intelligent management system for petition information, comprising: The petition information statistics processing module is used to sort out and process all petition information in the target area in different aspects to obtain department petition supervision data corresponding to different petition departments; the department petition supervision data is obtained by sorting and combining the petition type supervision update sequences corresponding to all petition types of the petition department; The petition information evaluation management module is used to implement petition impact analysis of different dimensions according to the petition supervision data of different petition departments, and to adaptively implement targeted petition processing management for different petition departments according to the petition impact analysis results of different dimensions; including: Among them, according to the departmental petition supervision data, the petition type dimension of the petition department is analyzed to obtain the petition type impact analysis data corresponding to the petition department; Based on the departmental petition supervision data and the type petition impact analysis data, a departmental petition impact analysis is conducted on the affiliated petition departments in the petition department dimension to determine the corresponding departmental petition impact status of the affiliated petition departments and implement targeted petition department management plans.

[0005] Preferably, the petition department, petition type, petition time point and completion time point corresponding to different petition information are obtained, and different petition information is numbered and marked according to the petition time point; And, according to the petition department and petition type corresponding to the petition information, the total number of petitions corresponding to the petition department is increased by one, and the total number of petition types corresponding to the petition type of the petition department is increased by one; When digitally processing different petition types corresponding to different petition departments, all completed petitions corresponding to different petition types in the petition department are obtained, and the time difference between the completion time point and the petition time point corresponding to different completed petitions is calculated in turn and marked as the processing time TCi; By formula Calculate and obtain the processing status identifier BCi corresponding to different completed petitions; where i is the different completed petitions corresponding to different petition types in the petition department, i=1, 2, 3,..., n; n is a positive integer; TC′ is the standard processing time corresponding to different petition types in the petition department; α is the processing classification factor, and its value range is (0, 1); [*] is the rounding function, which represents the maximum integer not exceeding the real number x.

[0006] Preferably, data analysis is performed on the processing status identifier to dynamically mark the corresponding completed petitions; If the processing status is marked as 0, the corresponding petition will be marked as a highly efficient petition; If the processing status flag is not 0, the corresponding petition will be marked as inefficiently handled; When processing the data of the type processing status corresponding to different types of petitions in the petition department, the total number of high-efficiency petitions NGj and the total number of low-efficiency petitions NDj corresponding to different types of petitions in the petition department are counted respectively, and the formula Calculate and obtain the type processing state coefficient ZCj corresponding to different petition types in the petition department; where j is the different petition types of the petition department, j=1, 2, 3, ..., m; m is a positive integer; The type processing status coefficient obtained by processing and the total number of petition types corresponding to the corresponding petition type are sorted and combined to obtain the petition type supervision sequence of the corresponding petition type of the corresponding petition department.

[0007] Preferably, the petition type supervision sequence corresponding to different petition types in the petition department is calculated by the formula Calculate and obtain the corresponding type influence LYj; where NLj is the total number of petition types corresponding to the petition type; NXj is the total number of petitions of the petition department corresponding to the petition type; Aj is the type influence standard value corresponding to the petition type; Fill the acquired type influence into the corresponding petition type supervision sequence to obtain the petition type supervision update sequence; The petition type supervision update sequences corresponding to all petition types of the petition department are sorted and combined to obtain the department petition supervision data corresponding to the petition department.

[0008] Preferably, departmental petition supervision data corresponding to different petition departments are obtained, and type petition impact analysis of the petition type dimension is performed on the petition departments according to the departmental petition supervision data, and petition type supervision update sequences corresponding to different petition types in the departmental petition supervision data of the petition departments are obtained; And, obtain and analyze the type influence of different petition types in the petition type supervision update sequence. If the type influence is 0, mark the corresponding petition type as a normal petition type, and increase the total number of normal petition types corresponding to the petition department by one; If the type impact is not 0, the petition type is marked as an abnormal petition type, and the total number of abnormal petition types corresponding to the petition department is increased by one, and a targeted petition type management plan is implemented for the abnormal petition type; The normal petition types or abnormal petition types corresponding to all petition types of the petition department are sorted and combined to obtain the petition impact analysis data corresponding to the type of petition department.

[0009] Preferably, the departmental petition impact analysis of the petition department dimension is carried out on the petition department according to the departmental petition supervision data and the petition impact analysis data of the type; Obtain the type influence coefficient LXj corresponding to all petition types of the petition department, and perform data analysis on the type influence coefficients corresponding to all petition types through the department petition influence identification function and output the corresponding first department petition influence identifier BM1; Among them, the expression of the department petition impact identification function is: ; In the formula, ; The department petition impact identifier contains a 0 or non-0 value, indicating that the department petition impact of the corresponding petition department is normal or abnormal.

[0010] Preferably, the total number of all normal petition types NZ and the total number of abnormal petition types NY corresponding to the petition department are counted, and the formula Calculate and obtain the second department petition impact identifier BM2 corresponding to the petition department; where B is the department petition impact classification value.

[0011] Preferably, the first department petition impact identifier and the second department petition impact identifier obtained by calculation are used to calculate the approved department petition impact identifier BM′ corresponding to the petition department through the formula BM′=max(BM1, BM2); wherein max(*) is used to obtain the maximum value among different real numbers*; Conduct data analysis on the approved departmental petition impact identifier to determine the departmental petition impact status corresponding to the petition department.

[0012] Preferably, if the petition impact indicator of the approved department is 0, the petition department is marked as a normal petition department; If the approved department's petition impact flag is not 0, the petition department will be marked as an abnormal petition department, and a targeted petition department management plan will be implemented for the abnormal petition department.

[0013] Compared with the existing solutions, the present invention achieves the following beneficial effects: The present invention calculates data on different aspects of petition supervision data obtained in the early stage to obtain type influences corresponding to different petition types associated with petition departments, and uses the type influences to fill in data on the petition type supervision sequence obtained in the early stage to obtain a petition type supervision update sequence. This can provide reliable supervision processing data support for subsequent type petition impact analysis corresponding to different petition types and department petition impact analysis corresponding to petition departments, thereby improving the autonomous mining and analysis effects of different aspects of petition information.

[0014] The present invention implements petition impact analysis in different dimensions according to the department petition supervision data corresponding to different petition departments, and adaptively implements targeted petition processing management for different petition departments according to the petition impact analysis results in different dimensions, thereby realizing autonomous petition impact analysis and management for different petition departments and different petition types, and improving the autonomous management prevention effect of petition expansion and mining. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The present invention will be further described below in conjunction with the accompanying drawings.

[0016] Figure 1 The present invention is a flowchart of the steps for implementing an intelligent management system for petition information.

[0017] Figure 2 It is a flowchart of the analysis of the impact of type petitions based on the petition type dimension implemented in the present invention.

[0018] Figure 3 It is a flowchart of the data processing and analysis of the impact identification of the approved department's petition in the present invention. DETAILED DESCRIPTION

[0019] 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.

[0020] like Figure 1 As shown, the present invention is an intelligent management system for petition information, including a petition information statistics processing module and a petition information evaluation management module; The petition information statistics processing module is used to sort out and process all petition information in the target area in different aspects to obtain the department petition supervision data corresponding to different petition departments; including: Obtain the petition department, petition type, petition time point and completion time point corresponding to different petition information, and number and mark different petition information according to the petition time point; the unit of petition time point and completion time point is day; The target area can be an existing prefecture-level city, and the petition departments include but are not limited to the education department, public security department, civil affairs department, judicial administration department, housing and urban-rural construction department, ecological environment department, transportation department, etc.; The type of petition is determined according to the existing petition classification requirements of the corresponding petition department. For example, the ecological environment department includes environmental pollution complaint types, ecological protection project types, and waste disposal types; And, according to the petition department and petition type corresponding to the petition information, the total number of petitions corresponding to the petition department is increased by one, and the total number of petition types corresponding to the petition type of the petition department is increased by one; When digitally processing different petition types corresponding to different petition departments, all completed petitions corresponding to different petition types in the petition department are obtained. The completed petition means that the corresponding petition is completed, and the time difference between the completion time point and the petition time point corresponding to different completed petitions is calculated in turn and marked as the processing time TCi; the unit of the processing time is day; By formula Calculate and obtain the processing status identifier BCi corresponding to different completed petitions; where i is the different completed petitions corresponding to different petition types in the petition department, i=1, 2, 3, ..., n; n is a positive integer; TC' is the standard processing time corresponding to different petition types in the petition department, which can be determined according to the existing actual petition completion requirements; α is the processing classification factor, and its value range is (0, 1), and the specific value can be 0.5; [*] is a rounding function, which represents the maximum integer not exceeding the real number x; It should be noted that the processing status identifier is used to perform data calculation on the processing data corresponding to different completed petitions to digitally represent the corresponding petition processing status; Data analysis of the processing status identifier is performed to dynamically mark the completed petitions; If the processing status is marked as 0, the corresponding petition will be marked as a highly efficient petition; If the processing status flag is not 0, the corresponding petition will be marked as inefficiently handled; In an embodiment of the present invention, by performing data calculation and analysis on different completed petitions corresponding to different petition types in the petition department, processing status identifiers and processing status marks corresponding to different completed petitions are obtained, thereby enabling processing analysis of the processing statuses corresponding to different completed petitions, and providing reliable local petition analysis data support for subsequent type processing status analysis of petition types to which different completed petitions belong.

[0021] When processing the data of the type processing status corresponding to different types of petitions in the petition department, the total number of high-efficiency petitions NGj and the total number of low-efficiency petitions NDj corresponding to different types of petitions in the petition department are counted respectively, and the formula Calculate and obtain the type processing state coefficient ZCj corresponding to different petition types in the petition department; where j is the different petition types of the petition department, j=1, 2, 3, ..., m; m is a positive integer; It should be noted that the type processing status coefficient is used to perform data calculation on all the completed processing data corresponding to different petition types to digitally represent the corresponding type processing status; The type processing status coefficient obtained by processing and the total number of petition types corresponding to the petition type are sorted and combined to obtain the petition type supervision sequence of the petition type corresponding to the petition department; In an embodiment of the present invention, the corresponding type processing status coefficient is obtained by performing data calculation on all completed processing data corresponding to different petition types, and the calculated type processing status coefficient is sorted and combined with the corresponding total number of petition types to obtain a petition type supervision sequence of the corresponding petition type of the petition department, which can provide reliable multi-dimensional processing data support for the subsequent type impact status analysis corresponding to different petition types of the petition department.

[0022] And, the petition type supervision sequence corresponding to different petition types in the petition department is calculated by formula Calculate and obtain the corresponding type influence LYj; where NLj is the total number of petition types corresponding to the petition type; NXj is the total number of petitions of the petition department corresponding to the petition type; Aj is the type influence standard value corresponding to the petition type, which can be determined based on the existing type influence requirement data corresponding to the petition type, or based on the median value of all historical type influences corresponding to the petition type; It should be noted that the type impact is used to calculate the regulatory data corresponding to the petition type in different aspects, so as to digitally represent the impact of the corresponding petition type; Fill the acquired type influence into the corresponding petition type supervision sequence to obtain the petition type supervision update sequence; Sorting and combining the petition type supervision update sequences corresponding to all petition types of the petition department to obtain the department petition supervision data corresponding to the petition department; In an embodiment of the present invention, data calculation is performed on different aspects of petition supervision data obtained in the early stage to obtain type influences corresponding to different petition types associated with the petition department. The type influences are used to fill in data on the petition type supervision sequence obtained in the early stage to obtain a petition type supervision update sequence. This can provide reliable supervision processing data support for subsequent type petition impact analysis corresponding to different petition types and department petition impact analysis corresponding to the petition department, thereby improving the autonomous mining and analysis effects of different aspects of petition information.

[0023] The petition information evaluation management module is used to implement petition impact analysis of different dimensions according to the petition supervision data of different petition departments, and to adaptively implement targeted petition processing management for different petition departments according to the petition impact analysis results of different dimensions; including: like Figure 2 As shown, departmental petition supervision data corresponding to different petition departments are obtained, and the petition type impact analysis of the petition type dimension is carried out on the petition departments according to the departmental petition supervision data, and the petition type supervision update sequence corresponding to different petition types in the departmental petition supervision data of the petition departments is obtained; And, obtain and analyze the type influence of different petition types in the petition type supervision update sequence. If the type influence is 0, mark the corresponding petition type as a normal petition type, and increase the total number of normal petition types corresponding to the petition department by one; If the type impact is not 0, the petition type is marked as an abnormal petition type, and the total number of abnormal petition types corresponding to the petition department is increased by one, and a targeted petition type management plan is implemented for the abnormal petition type; Among them, the petition type management plan specifically includes the management of processing efficiency corresponding to the petition type, and the management of petition prevention policies corresponding to the petition type; the petition prevention policy specifically implements targeted solution and prevention policies for petitions of all petition types that have occurred; In the embodiment of the present invention, by performing data analysis on the type influences corresponding to different petition types, corresponding petition type tags are obtained, and reliable petition type analysis data support can also be provided for subsequent petition department petition influence analysis; Sort and combine the normal petition types or abnormal petition types corresponding to all petition types of the petition department to obtain the petition impact analysis data corresponding to the type of petition department; Based on the departmental petition supervision data and petition impact analysis data, the petition department is subject to petition impact analysis in the petition department dimension; Obtain the type influence coefficient LXj corresponding to all petition types of the petition department, and perform data analysis on the type influence coefficients corresponding to all petition types through the department petition influence identification function and output the corresponding first department petition influence identifier BM1; Among them, the expression of the department petition impact identification function is: ; In the formula, ; The department petition impact flag contains a 0 or non-0 value, indicating that the department petition impact corresponding to the petition department is normal or abnormal; In addition, the total number of normal petition types NZ and the total number of abnormal petition types NY corresponding to the petition department are counted, and the formula Calculate and obtain the second department petition impact identifier BM2 corresponding to the petition department; where B is the department petition impact classification value, which can be determined based on the existing type impact requirement data corresponding to the petition type, or based on the median value of all historical second department petition impact identifiers corresponding to the petition department; It should be noted that the first department petition impact identifier and the second department petition impact identifier are used to perform data calculations on all petition data appearing in the petition department from different aspects to digitally represent the petition impact of the corresponding department; like Figure 3 As shown, the first department petition impact identifier and the second department petition impact identifier obtained by calculation are used to obtain the approved department petition impact identifier BM′ corresponding to the corresponding petition department through the formula BM′=max(BM1, BM2); wherein max(*) is used to obtain the maximum value among different real numbers*; Conduct data analysis on the approved department petition impact identifier to determine the department petition impact status corresponding to the petition department; If the petition impact indicator of the approved department is 0, the petition department will be marked as a normal petition department; If the petition impact flag of the approved department is not 0, the petition department will be marked as an abnormal petition department, and a targeted petition department management plan will be implemented for the abnormal petition department; Among them, the management plan of the petition department includes but is not limited to strengthening communication and transparency, establishing a rapid response mechanism, carrying out special governance actions, strengthening legal education and publicity, etc.

[0024] In the embodiment of the present invention, petition impact analysis of different dimensions is implemented according to the department petition supervision data corresponding to different petition departments, and targeted petition processing management is adaptively implemented for different petition departments according to the petition impact analysis results of different dimensions, thereby realizing autonomous petition impact analysis and management of different petition departments and different petition types, and improving the autonomous management prevention effect of petition expansion and mining.

[0025] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.

[0026] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0027] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0028] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0029] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0030] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. An intelligent management system for petition information, characterized in that: include: The petition information statistics processing module is used to sort out and process all petition information in the target area in different aspects to obtain department petition supervision data corresponding to different petition departments; the department petition supervision data is obtained by sorting and combining the petition type supervision update sequences corresponding to all petition types of the petition department; The petition information evaluation management module is used to implement petition impact analysis of different dimensions based on the petition supervision data of different petition departments, and to adaptively implement targeted petition handling management for different petition departments based on the petition impact analysis results of different dimensions; include: Among them, according to the departmental petition supervision data, the petition type dimension of the petition department is analyzed to obtain the petition type impact analysis data corresponding to the petition department; Based on the departmental petition supervision data and the type petition impact analysis data, a departmental petition impact analysis is conducted on the affiliated petition departments in the petition department dimension to determine the corresponding departmental petition impact status of the affiliated petition departments and implement targeted petition department management plans.

2. According to claim 1, the intelligent management system for petition information is characterized in that: Obtain the petition department, petition type, petition time point and completion time point corresponding to different petition information, and number and mark different petition information according to the petition time point; And, according to the petition department and petition type corresponding to the petition information, the total number of petitions corresponding to the petition department is increased by one, and the total number of petition types corresponding to the petition type of the petition department is increased by one; When digitally processing different petition types corresponding to different petition departments, all completed petitions corresponding to different petition types in the petition department are obtained, and the time difference between the completion time point and the petition time point corresponding to different completed petitions is calculated in turn and marked as the processing time TCi; By formula Calculate and obtain the processing status identifier BCi corresponding to different completed petitions; where i is the different completed petitions corresponding to different petition types in the petition department, i=1, 2, 3, ..., n; n is a positive integer; TC′ is the standard processing time corresponding to different types of petitions in the petition department; α is the processing classification factor, and its value range is (0, 1); [*] is the rounding function, which represents the maximum integer not exceeding the real number x.

3. According to claim 2, the intelligent management system for petition information is characterized in that: Data analysis of the processing status identifier is performed to dynamically mark the completed petitions; If the processing status is marked as 0, the corresponding petition will be marked as a highly efficient petition; If the processing status flag is not 0, the corresponding petition will be marked as inefficiently handled; When processing the data of the type processing status corresponding to different types of petitions in the petition department, the total number of high-efficiency petitions NGj and the total number of low-efficiency petitions NDj corresponding to different types of petitions in the petition department are counted respectively, and the formula Calculate and obtain the type processing status coefficient ZCj corresponding to different petition types in the petition department; In the formula, j is the different petition types of the petition department, j=1, 2, 3, ..., m; m is a positive integer; The type processing status coefficient obtained by processing and the total number of petition types corresponding to the corresponding petition type are sorted and combined to obtain the petition type supervision sequence of the corresponding petition type of the corresponding petition department.

4. According to claim 3, the intelligent management system for petition information is characterized in that: The petition type supervision sequence corresponding to different petition types in the petition department is calculated through the formula Calculate and obtain the corresponding type influence LYj; where NLj is the total number of petition types corresponding to the petition type; NXj is the total number of petitions of the petition department corresponding to the petition type; Aj is the type influence standard value corresponding to the petition type; Fill the acquired type influence into the corresponding petition type supervision sequence to obtain the petition type supervision update sequence; The petition type supervision update sequences corresponding to all petition types of the petition department are sorted and combined to obtain the department petition supervision data corresponding to the petition department.

5. According to claim 4, the intelligent management system for petition information is characterized in that: Obtain departmental petition supervision data corresponding to different petition departments, conduct petition impact analysis on the petition type dimension of the affiliated petition departments based on the departmental petition supervision data, and obtain the petition type supervision update sequence corresponding to different petition types in the departmental petition supervision data of the petition departments; And, obtain and analyze the type influence of different petition types in the petition type supervision update sequence. If the type influence is 0, mark the corresponding petition type as a normal petition type, and increase the total number of normal petition types corresponding to the petition department by one; If the type impact is not 0, the petition type is marked as an abnormal petition type, and the total number of abnormal petition types corresponding to the petition department is increased by one, and a targeted petition type management plan is implemented for the abnormal petition type; The normal petition types or abnormal petition types corresponding to all petition types of the petition department are sorted and combined to obtain the petition impact analysis data corresponding to the type of petition department.

6. The intelligent management system for petition information according to claim 5 is characterized in that: Based on the departmental petition supervision data and petition impact analysis data, the petition department is subject to petition impact analysis in the petition department dimension; Obtain the type influence coefficient LXj corresponding to all petition types of the petition department, and perform data analysis on the type influence coefficients corresponding to all petition types through the department petition influence identification function and output the corresponding first department petition influence identifier BM1; Among them, the expression of the department petition impact identification function is: ; In the formula, ; The department petition impact identifier contains a 0 or non-0 value, indicating that the department petition impact of the corresponding petition department is normal or abnormal.

7. The intelligent management system for petition information according to claim 6 is characterized in that: Count the total number of normal petition types NZ and the total number of abnormal petition types NY corresponding to the petition department, and use the formula Calculate and obtain the second department petition impact identifier BM2 corresponding to the petition department; where B is the department petition impact classification value.

8. The intelligent management system for petition information according to claim 7 is characterized in that: The first department petition impact identifier and the second department petition impact identifier obtained by calculation are used to calculate the approved department petition impact identifier BM′ corresponding to the petition department through the formula BM′=max(BM1, BM2); where max(*) is used to obtain the maximum value among different real numbers*; Conduct data analysis on the approved departmental petition impact identifier to determine the departmental petition impact status corresponding to the petition department.

9. The intelligent management system for petition information according to claim 8 is characterized in that: If the petition impact indicator of the approved department is 0, the petition department will be marked as a normal petition department; If the approved department's petition impact flag is not 0, the petition department will be marked as an abnormal petition department, and a targeted petition department management plan will be implemented for the abnormal petition department.

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