An operation and maintenance service management system for information system

Abstract

The invention discloses an operation and maintenance service management system for an information system, which belongs to the technical field of power grid service management. The invention is used to solve the technical problems of poor active data mining and analysis effect and poor active optimization processing effect of operation and maintenance processing solution services in existing solutions. The invention monitors, counts, processes and integrates all cross-regional operation and maintenance processing information, calculates and analyzes negative impact data of all types of faults that occur, obtains corresponding type impact levels, calculates and analyzes positive impact data of all new operation and maintenance solutions that occur, obtains corresponding solution impact levels, and actively performs multi-dimensional data integration analysis based on the historical overall processing effect negative impact and overall innovation effect positive impact corresponding to the fault occurrence type according to the type impact level and the solution impact level, and combines the multi-dimensional analysis results and evaluates whether the corresponding standard operation and maintenance solution needs to be optimized and adjusted.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid service management, and in particular to an operation and maintenance service management system for an information system. Background Art

[0002] The operation and maintenance of the power grid system is a key task to ensure the stable and efficient operation of the power system; the operation and maintenance of the power grid system includes equipment inspection and maintenance, troubleshooting and repair, monitoring and scheduling, data analysis and optimization, safety management, personnel training and technology updates.

[0003] The existing power grid information system operation and maintenance service management plan has certain defects in implementation. It cannot actively count and integrate the power grid operation and maintenance processing information in different regions, and implement multi-dimensional effectiveness supervision and evaluation of different operation and maintenance solutions from the aspects of the impact of operation and maintenance failure implementation and operation and maintenance processing effects. According to the supervision and evaluation results, different operation and maintenance solutions are adaptively dynamically maintained and updated, resulting in the formation of operation and maintenance processing data islands for the operation and maintenance processing information between power grids in different regions, while affecting the communication and expansion of the overall operation and maintenance processing information, which in turn leads to poor active data mining and analysis effects and poor active optimization processing effects of the operation and maintenance processing solution services. Summary of the invention

[0004] The purpose of the present invention is to provide an operation and maintenance service management system for an information system, which is used to solve the technical problems of poor active data mining and analysis effect and poor active optimization processing effect of operation and maintenance processing solution services in existing solutions.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] An operation and maintenance service management system for an information system, comprising:

[0007] The operation and maintenance processing information statistics integration module is used to monitor and count all operation and maintenance processing information across regions, and to process and integrate all the statistical operation and maintenance processing information to obtain an integrated tree diagram for operation and maintenance fault resolution;

[0008] The operation and maintenance processing information processing and analysis module is used to digitize the integrated operation and maintenance fault solution tree diagram, and to calculate and analyze the negative impact data of all types of faults to obtain the corresponding type impact level, and to calculate and analyze the positive impact data of all new operation and maintenance solutions to obtain the corresponding solution impact level;

[0009] The operation and maintenance service solution analysis and management module is used to analyze the necessity of updating the solution for the corresponding fault type according to the type impact level and the solution impact level, and dynamically optimize, update and prompt different standard operation and maintenance solutions associated with different power grid equipment according to the analysis results;

[0010] When performing a necessity analysis of updating a solution for a corresponding fault occurrence type according to the type impact level and the resolution impact level, the values ​​of the type impact level and the resolution impact level associated with the fault occurrence type are extracted and combined to obtain an impact processing array, and the elements in the impact processing array are traversed and analyzed;

[0011] If the values ​​of the elements in the impact processing array are all 1, then the necessary tags are generated and updated, and the standard operation and maintenance solution corresponding to the fault occurrence type is marked as the selected optimization target solution and prompted;

[0012] If only one element in the impact processing array has a value of 1, an update pending label is generated and the standard operation and maintenance solution corresponding to the fault type is marked as the target solution to be optimized and pushed to the management personnel for evaluation and confirmation.

[0013] Preferably, all operation and maintenance processing information that has occurred in all regions in the past is counted, and the operation and maintenance processing information includes the fault occurrence number, operation and maintenance fault data, and operation and maintenance solution data;

[0014] Operation and maintenance fault data includes the location of the fault, the time of the fault, the device where the fault occurred, and the type of fault. Operation and maintenance solution data includes the person who solved the problem, the steps for implementing the solution, and the total time for solving the problem.

[0015] When processing and classifying all the statistical operation and maintenance processing information, all the operation and maintenance processing information is sorted according to the order of the fault occurrence time, and the operation and maintenance fault data and operation and maintenance solution data in the operation and maintenance processing information are obtained in sequence;

[0016] Obtain the fault-occurring device and fault-occurring type in the operation and maintenance fault data and mark them as the first-class subnode and the second-class subnode in the standard tree diagram respectively; and mark the solution implementation steps and the total solution processing time in the operation and maintenance solution data as the third-class subnode and the fourth-class subnode respectively.

[0017] According to the fault occurrence number, the fourth-category sub-node is associated and bound with the third-category sub-node, the third-category sub-node is associated and bound with the second-category sub-node, and the second-category sub-node is associated and bound with the first-category sub-node.

[0018] Preferably, when filling different operation and maintenance processing information into the standard data graph in sequence, the fault-occurring device, fault-occurring type and solution implementation steps are traversed and matched with all corresponding child nodes in sequence;

[0019] If the same fault-occurring device, fault type, or solution implementation step already exists in the corresponding sub-node, the total number of occurrences associated with the corresponding sub-node is increased by one;

[0020] If the same fault-occurring device, fault-occurring type or solution implementation step does not exist in the corresponding sub-node, a sub-node of the corresponding level is generated, and the sub-node corresponding to the newly added solution implementation step is marked as a newly added target sub-node;

[0021] The standard tree diagram filled with all operation and maintenance processing information is marked as an operation and maintenance fault resolution integrated tree diagram.

[0022] Preferably, the step of determining whether the implementation step exists includes:

[0023] Perform keyword recognition and extraction combination on the solution implementation steps in the operation processing information to obtain a keyword group containing several sub-steps;

[0024] The keyword groups of several sub-steps are matched with the standard keyword groups of several sub-steps corresponding to the fault occurrence type in sequence. If there are different keywords, a difference label is generated, and the solution implementation step in the operation processing information is marked as newly added according to the difference label.

[0025] Preferably, when performing digital processing and fault impact analysis on different sub-nodes in the integrated operation and maintenance fault resolution tree diagram, negative impact data calculations are performed on the local fault type impacts associated with different second-category sub-nodes in turn, and the fault occurrence types associated with different second-category sub-nodes are obtained in turn and input into the fault occurrence type weight table for retrieval and matching to obtain the corresponding fault type weight Qgl;

[0026] By formula Calculate and obtain the fault type influence coefficient GLy corresponding to the fault occurrence type; where W is the error correction factor corresponding to the fault occurrence type, N is the total number of historical occurrences of the corresponding fault occurrence type, and Qsb is the device weight of the fault occurrence device associated with the fault occurrence type.

[0027] Preferably, the step of obtaining the error correction factors corresponding to different fault occurrence types includes:

[0028] According to the fault type, the corresponding standard processing time Tb is obtained, and the total processing time Tj for each fault processing of the fault type is obtained. The formula Calculate and obtain the error correction factor W corresponding to each fault type.

[0029] Preferably, the fault type influence coefficient is associated and marked with the second-type sub-node corresponding to the fault occurrence type, and the positions of all the second-type sub-nodes are sorted and adjusted according to the value of the fault type influence coefficient;

[0030] And, inputting the sorted fault type influence coefficients into a fault type influence identification model to perform data analysis and output the type influence level;

[0031] Among them, the expression of the fault type impact identification model is: Where F(a) is the type impact level, a is the fault type impact coefficient GLy, and a′ is the fault type impact standard value.

[0032] Preferably, the positive impact data calculation of the local new solution effects associated with different selected new target sub-nodes is performed in turn, the effectiveness of all new target sub-nodes is identified and screened, and the difference between the total number of occurrences associated with different selected new target sub-nodes and the standard total number is calculated and analyzed in turn. If the difference is greater than 0, a valid label is generated and the corresponding new target sub-node is marked as a selected new sub-node.

[0033] Preferably, according to the total time lengths of all the solution processing corresponding to the selected newly added child nodes, the corresponding median of the total time lengths of the solution processing is obtained and set as the solution target value Tm;

[0034] And, obtaining the preset standard solution implementation steps of the three types of sub-nodes parallel to the selected newly added sub-node and the total duration of all solution processing associated therewith, and sequentially obtaining the median of the total duration of all solution processing associated with the standard solution implementation steps and marking them as standard solution values ​​Tz;

[0035] By formula Calculate and obtain the solution impact coefficient JJy corresponding to different selected newly added target sub-nodes; where M is the total number of occurrences of the selected newly added sub-node, and M′ is the total number of implementations of the standard solution implementation steps under the same three types of sub-nodes as the selected newly added sub-node;

[0036] The solution impact coefficient is associated and marked with the corresponding selected newly added target sub-node, and the solution impact coefficients corresponding to all selected newly added target sub-nodes appearing under the same three types of sub-nodes are arranged in descending order, and the solution impact coefficient ranked first is marked as the selected solution impact coefficient b.

[0037] Preferably, the selected solution impact coefficient is input into the fault solution impact identification model for data analysis and outputting the solution impact level;

[0038] Among them, the expression of the fault resolution impact identification model is: Where b′ is the standard value for solving the impact.

[0039] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0040] The present invention monitors and counts all cross-regional operation and maintenance processing information, processes the data, and integrates it to obtain an integrated tree diagram of operation and maintenance fault resolution. This can not only realize the extensive collection of cross-regional operation and maintenance processing information, but also provide reliable historical data support for the implementation of multi-dimensional impact analysis of subsequent existing different operation and maintenance solutions, thereby improving the diversity of collection, processing and utilization of historical operation and maintenance processing information.

[0041] The present invention calculates and analyzes the negative impact data of all types of faults that occur to obtain the corresponding type impact level. According to the type impact level, the overall processing abnormality impact of the historical operation and maintenance processing of the corresponding fault occurrence type can be obtained. This can provide data support for the negative impact of the historical overall processing effect for the subsequent optimization and adjustment of the standard fault handling solution corresponding to the fault occurrence type, thereby improving the depth of historical operation and maintenance fault processing data mining and analysis.

[0042] The present invention obtains the corresponding solution impact level by calculating and analyzing the positive impact data of all new operation and maintenance solutions that appear. According to the solution impact level, the overall solution positive impact of the historical operation and maintenance processing of the corresponding fault occurrence type can be obtained, which can provide data support for the positive impact of the historical overall innovation effect for the subsequent optimization and adjustment of the standard fault handling solution corresponding to the fault occurrence type, thereby improving the breadth of historical operation and maintenance fault processing data mining and analysis.

[0043] The present invention actively conducts multi-dimensional data integration analysis according to the historical negative impact of the overall processing effect and the positive impact of the overall innovation effect corresponding to the fault type, and combines the multi-dimensional analysis results to evaluate whether the corresponding standard operation and maintenance solutions need to be optimized and adjusted, thereby improving the active data mining analysis effect and active optimization processing effect of the operation and maintenance processing solution service. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The present invention will be further described below in conjunction with the accompanying drawings.

[0045] Figure 1 The present invention is a module block diagram of an operation and maintenance service management system for an information system.

[0046] Figure 2 This is a flowchart of the process of acquiring a newly added target subnode in the present invention.

[0047] Figure 3 This is a flowchart of identifying and screening the validity of all newly added target sub-nodes in the present invention.

[0048] Figure 4A flowchart of the necessity analysis of scheme update for the fault occurrence type in the present invention. DETAILED DESCRIPTION

[0049] 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 operation and maintenance personnel in this field without creative work are within the scope of protection of the present invention.

[0050] like Figure 1 As shown, the present invention is an operation and maintenance service management system for an information system, comprising an operation and maintenance processing information statistics integration module, an operation and maintenance processing information processing analysis module and an operation and maintenance service solution analysis management module;

[0051] The operation and maintenance processing information statistics integration module is used to monitor and count all cross-regional operation and maintenance processing information, and to process and integrate all the statistical operation and maintenance processing information to obtain an integrated tree diagram for operation and maintenance fault resolution; including:

[0052] Statistics of all operation and maintenance processing information that has occurred in all regions in the past. The operation and maintenance processing information includes fault occurrence number, operation and maintenance fault data, and operation and maintenance solution data;

[0053] The operation and maintenance fault data includes the location where the fault occurred, the time when the fault occurred, the device where the fault occurred, and the type of fault. The type of fault is determined by the person who implements the operation and maintenance solution.

[0054] The operation and maintenance solution data includes the person who handles the problem, the solution implementation steps and the total time of the solution. The solution implementation steps are recorded by the person who handles the problem after the problem is solved.

[0055] When processing and classifying all the statistical operation and maintenance processing information, all the operation and maintenance processing information is sorted according to the order of the fault occurrence time, and the operation and maintenance fault data and operation and maintenance solution data in the operation and maintenance processing information are obtained in sequence;

[0056] Obtain the fault-occurring device and fault-occurring type in the operation and maintenance fault data and mark them as the first-class subnode and the second-class subnode in the standard tree diagram respectively; and mark the solution implementation steps and the total solution processing time in the operation and maintenance solution data as the third-class subnode and the fourth-class subnode respectively.

[0057] According to the fault occurrence number, the fourth-category sub-node is associated and bound with the third-category sub-node, the third-category sub-node is associated and bound with the second-category sub-node, and the second-category sub-node is associated and bound with the first-category sub-node;

[0058] In the embodiment of the present invention, by performing data processing and classification integration on all operation and maintenance processing information, the display effect of all operation and maintenance processing information and the processing effect of subsequent data utilization are improved.

[0059] like Figure 2 As shown, when filling different operation and maintenance processing information into the standard data graph in turn, the fault-occurring equipment, fault type and solution implementation steps are traversed and matched with all corresponding child nodes in turn;

[0060] If the same fault-occurring device, fault type, or solution implementation step already exists in the corresponding sub-node, the total number of occurrences associated with the corresponding sub-node is increased by one;

[0061] If the same fault-occurring device, fault-occurring type or solution implementation step does not exist in the corresponding sub-node, a sub-node of the corresponding level is generated, and the sub-node corresponding to the newly added solution implementation step is marked as a newly added target sub-node;

[0062] The determination step of whether the implementation step exists includes:

[0063] Perform keyword recognition and extraction combination on the solution implementation steps in the operation processing information to obtain a keyword group containing several sub-steps; wherein, keyword recognition is an existing conventional recognition technology means, and the specific recognition steps are not described in detail here;

[0064] Keyword groups of several sub-steps are matched with standard keyword groups of several sub-steps corresponding to the fault occurrence type in sequence. If there are different keywords, a difference label is generated, and the solution implementation step in the operation processing information is marked as newly added according to the difference label;

[0065] The standard keyword group is determined according to the solution implementation steps corresponding to the standard solution of the corresponding fault type. The standard solution may specifically be an existing conventional fault operation and maintenance solution.

[0066] Mark the standard tree diagram filled with all operation and maintenance processing information as an integrated operation and maintenance fault resolution tree diagram;

[0067] In the embodiment of the present invention, by monitoring and counting all cross-regional operation and maintenance processing information, as well as processing and integrating the data to obtain an integrated tree diagram of operation and maintenance fault resolution, it is possible to not only collect cross-regional operation and maintenance processing information extensively, but also provide reliable historical data support for the implementation of multi-dimensional impact analysis for subsequent existing different operation and maintenance solutions, thereby improving the diversity of the collection, processing and utilization of historical operation and maintenance processing information.

[0068] The operation and maintenance processing information processing and analysis module is used to digitally process the integrated operation and maintenance fault solution tree diagram, and to calculate and analyze the negative impact data of all types of faults to obtain the corresponding type impact level, and to calculate and analyze the positive impact data of all new operation and maintenance solutions to obtain the corresponding solution impact level; including:

[0069] When performing digital processing and fault impact analysis on different sub-nodes in the integrated operation and maintenance fault resolution tree diagram, negative impact data calculations are performed on the local fault type impacts associated with different second-class sub-nodes in turn, and the fault occurrence types associated with different second-class sub-nodes are obtained in turn and input into the fault occurrence type weight table for retrieval and matching to obtain the corresponding fault type weight Qgl;

[0070] Among them, the fault type weight table pre-stores a number of different fault types and their associated fault type weights. The fault type weight is used to digitize and differentiate the text type of faults. The specific value of the fault type weight is standardized and formulated by professional and technical personnel in this field.

[0071] By formula Calculate and obtain the fault type influence coefficient GLy corresponding to the fault type; where W is the error correction factor corresponding to the fault type, N is the total number of historical occurrences of the corresponding fault type, and Qsb is the device weight of the fault-occurring device associated with the fault type; the steps for obtaining the device weight are the same as those for obtaining the fault type weight, and the specific value of the device weight is also standardized and formulated by professional and technical personnel in this field;

[0072] The steps of obtaining the error correction factors corresponding to different fault types include:

[0073] According to the fault type, the corresponding standard processing time Tb is obtained. The standard processing time is determined according to the average of all historical processing times corresponding to the fault type, or according to the design requirement parameters of the corresponding standard fault handling solution, and the total processing time Tj for each fault handling of the fault type is obtained. The formula Calculate and obtain the error correction factor W corresponding to each fault type;

[0074] It should be noted that the error correction factor is used to digitally represent the resolution status in terms of the resolution time of the fault handling, so as to improve the accuracy of the calculation and analysis of the fault type influence coefficient.

[0075] The fault type influence coefficient is associated with and marked with the second-class sub-nodes of the corresponding fault occurrence type, and the positions of all the second-class sub-nodes are sorted and adjusted according to the value of the fault type influence coefficient;

[0076] And, inputting the sorted fault type impact coefficients into the fault type impact identification model to perform data analysis and output the type impact level; the type impact level is used to indicate the impact degree of the corresponding operation and maintenance processing;

[0077] Among them, the expression of the fault type impact identification model is: Where, F(a) is the type impact level, a is the fault type impact coefficient GLy, and a′ is the fault type impact standard value. The fault type impact standard value is determined according to the operation and maintenance design requirement data of the corresponding fault occurrence type, or according to the median value of all type impact levels outputted with the same fault occurrence type.

[0078] The type impact level is a value of 0 or 1, corresponding to low impact level and high impact level respectively;

[0079] In an embodiment of the present invention, by performing negative impact data calculation and analysis on all types of faults that occur, the corresponding type impact level is obtained. According to the type impact level, the overall processing abnormality impact of the historical operation and maintenance processing of the corresponding fault occurrence type can be obtained. This can provide data support for the negative impact of the historical overall processing effect for the subsequent optimization and adjustment of the standard fault handling solution corresponding to the fault occurrence type, thereby improving the depth of historical operation and maintenance fault handling data mining and analysis.

[0080] like Figure 3 As shown, the local new solution effects associated with different selected new target sub-nodes are positively affected by data calculation, the effectiveness of all new target sub-nodes is identified and screened, and the difference between the total number of occurrences associated with different selected new target sub-nodes and the standard total number is calculated and analyzed. The standard total number is determined according to the median of all the total number of occurrences corresponding to all new target sub-nodes. If the difference is not greater than 0, an invalid label is generated;

[0081] If the difference is greater than 0, a valid label is generated and the corresponding newly added target child node is marked as a selected newly added child node;

[0082] It should be noted that by identifying and screening the effectiveness of the appearance of newly added target sub-nodes, the efficiency and reliability of the positive impact analysis of the newly added sub-nodes corresponding to the newly added solutions can be effectively improved.

[0083] According to the total time lengths of all solutions corresponding to the newly selected child nodes, the corresponding median of the total time lengths of solution processing is obtained and set as the solution target value Tm;

[0084] And, obtaining the preset standard solution implementation steps of the three types of sub-nodes parallel to the selected newly added sub-node and the total duration of all solution processing associated therewith, and sequentially obtaining the median of the total duration of all solution processing associated with the standard solution implementation steps and marking them as standard solution values ​​Tz;

[0085] By formula Calculate and obtain the solution impact coefficient JJy corresponding to different selected newly added target sub-nodes; where M is the total number of occurrences of the selected newly added sub-node, and M′ is the total number of implementations of the standard solution implementation steps under the same three types of sub-nodes as the selected newly added sub-node;

[0086] Associating and marking the solution impact coefficient with the corresponding selected newly added target sub-node, and arranging the solution impact coefficients corresponding to all selected newly added target sub-nodes appearing under the same three types of sub-nodes in descending order, and marking the first-ranked solution impact coefficient as the selected solution impact coefficient b;

[0087] Input the selected solution impact coefficient into the fault solution impact identification model for data analysis and output the solution impact level;

[0088] Among them, the expression of the fault resolution impact identification model is: In the formula, b′ is the standard value of the impact solution, which is determined according to the operation and maintenance design requirement data of the corresponding fault occurrence type, or according to the median value of all the impact levels of the same fault occurrence type output;

[0089] Solve the impact level with a value of 0 or 1, corresponding to low effect level and high effect level respectively;

[0090] In an embodiment of the present invention, by calculating and analyzing the positive impact data of all newly added operation and maintenance solutions, the corresponding solution impact level is obtained. According to the solution impact level, the overall solution positive impact of the historical operation and maintenance processing of the corresponding fault occurrence type can be obtained, which can provide data support for the positive impact of the historical overall innovation effect for the subsequent optimization and adjustment of the standard fault handling solution corresponding to the fault occurrence type, thereby improving the breadth of historical operation and maintenance fault processing data mining and analysis.

[0091] The operation and maintenance service solution analysis and management module is used to analyze the necessity of solution update for the type of fault occurrence according to the type impact level and the solution impact level, and dynamically optimize, update and prompt different standard operation and maintenance solutions associated with different power grid equipment based on the analysis results; including:

[0092] like Figure 4As shown, when the necessity of updating the solution is analyzed for the corresponding fault occurrence type according to the type impact level and the solution impact level, the values ​​of the type impact level and the solution impact level associated with the fault occurrence type are extracted and combined to obtain an impact processing array, and the elements in the impact processing array are traversed and analyzed;

[0093] If the values ​​of the elements in the impact processing array are all 1, then the necessary tags are generated and updated, and the standard operation and maintenance solution corresponding to the fault occurrence type is marked as the selected optimization target solution and prompted;

[0094] If only one element in the impact processing array has a value of 1, an update pending label is generated and the standard operation and maintenance solution corresponding to the fault type is marked as the target solution to be optimized and pushed to the management personnel for evaluation and confirmation;

[0095] If there is no element with a value of 1 in the impact processing array, an update unnecessary label is generated;

[0096] Different from the existing technical solutions, which can only judge whether the operation and maintenance solutions of the corresponding faults meet the existing operation and maintenance needs through manual experience, there is passivity and lag in the update and iteration of the operation and maintenance solutions. At the same time, it is also impossible to actively supervise and share the innovative operation and maintenance solutions, resulting in poor overall effect of operation and maintenance service management;

[0097] In the embodiment of the present invention, a multi-dimensional data integration analysis is actively performed based on the historical negative impact of the overall processing effect and the positive impact of the overall innovation effect corresponding to the fault occurrence type, and the multi-dimensional analysis results are combined to evaluate whether the corresponding standard operation and maintenance solution needs to be optimized and adjusted, thereby improving the active data mining analysis effect and active optimization processing effect of the operation and maintenance processing solution service.

[0098] 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.

[0099] 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.

[0100] 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.

[0101] 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.

[0102] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the basic features of the present invention.

[0103] 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, ordinary operation and maintenance personnel in the field 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 operation and maintenance service management system for an information system, characterized in that: include: The operation and maintenance processing information statistics integration module is used to monitor and count all operation and maintenance processing information across regions, and to process and integrate all the statistical operation and maintenance processing information to obtain an integrated tree diagram for operation and maintenance fault resolution; The operation and maintenance processing information processing and analysis module is used to digitize the integrated operation and maintenance fault solution tree diagram, and to calculate and analyze the negative impact data of all types of faults to obtain the corresponding type impact level, and to calculate and analyze the positive impact data of all new operation and maintenance solutions to obtain the corresponding solution impact level; Among them, when performing digital processing and fault impact analysis on different sub-nodes in the integrated operation and maintenance fault resolution tree diagram, negative impact data calculations are performed on the local fault type impacts associated with different second-class sub-nodes in turn, and the fault occurrence types associated with different second-class sub-nodes are obtained in turn and input into the fault occurrence type weight table for retrieval and matching to obtain the corresponding fault type weight Qgl; By formula Calculate and obtain the fault type influence coefficient GLy corresponding to the fault occurrence type; where W is the error correction factor corresponding to the fault occurrence type, N is the total number of historical occurrences of the corresponding fault occurrence type, and Qsb is the device weight of the fault occurrence device associated with the fault occurrence type; The fault type influence coefficient is associated with and marked with the second-class sub-nodes of the corresponding fault occurrence type, and the positions of all the second-class sub-nodes are sorted and adjusted according to the value of the fault type influence coefficient; And, inputting the sorted fault type influence coefficients into a fault type influence identification model to perform data analysis and output the type influence level; Among them, the expression of the fault type impact identification model is: ; In the formula, F(a) is the type impact level, a is the fault type impact coefficient GLy, and a′ is the fault type impact standard value; The positive impact data of the local new solution effects associated with different selected new target sub-nodes are calculated in turn, the validity of all new target sub-nodes is identified and screened, and the difference between the total number of occurrences associated with different selected new target sub-nodes and the standard total number is calculated and analyzed in turn. If the difference is greater than 0, a valid label is generated and the corresponding new target sub-node is marked as a selected new sub-node; According to the total time lengths of all solutions corresponding to the newly selected child nodes, the corresponding median of the total time lengths of solution processing is obtained and set as the solution target value Tm; And, obtaining the preset standard solution implementation steps of the three types of sub-nodes parallel to the selected newly added sub-node and the total duration of all solution processing associated therewith, and sequentially obtaining the median of the total duration of all solution processing associated with the standard solution implementation steps and marking them as standard solution values ​​Tz; By formula Calculate and obtain the solution impact coefficient JJy corresponding to different selected newly added target sub-nodes; where M is the total number of occurrences of the selected newly added sub-node, and M′ is the total number of implementations of the standard solution implementation steps under the same three types of sub-nodes as the selected newly added sub-node; Associating and marking the solution impact coefficient with the corresponding selected newly added target sub-node, and arranging the solution impact coefficients corresponding to all selected newly added target sub-nodes appearing under the same three types of sub-nodes in descending order, and marking the first-ranked solution impact coefficient as the selected solution impact coefficient b; Input the selected solution impact coefficient into the fault solution impact identification model for data analysis and output the solution impact level; Among them, the expression of the fault resolution impact identification model is: ; In the formula, b′ is the standard value for solving the impact; The operation and maintenance service solution analysis and management module is used to analyze the necessity of updating the solution for the corresponding fault type according to the type impact level and the solution impact level, and dynamically optimize, update and prompt different standard operation and maintenance solutions associated with different power grid equipment according to the analysis results; When performing a necessity analysis of updating a solution for a corresponding fault occurrence type according to the type impact level and the resolution impact level, the values ​​of the type impact level and the resolution impact level associated with the fault occurrence type are extracted and combined to obtain an impact processing array, and the elements in the impact processing array are traversed and analyzed; If the values ​​of the elements in the impact processing array are all 1, then the necessary tags are generated and updated, and the standard operation and maintenance solution corresponding to the fault occurrence type is marked as the selected optimization target solution and prompted; If only one element in the impact processing array has a value of 1, an update pending label is generated and the standard operation and maintenance solution corresponding to the fault type is marked as the target solution to be optimized and pushed to the management personnel for evaluation and confirmation.

2. The information system operation and maintenance service management system according to claim 1, characterized in that: Statistics of all operation and maintenance processing information that has occurred in all regions in the past. The operation and maintenance processing information includes fault occurrence number, operation and maintenance fault data, and operation and maintenance solution data; Operation and maintenance fault data includes the location of the fault, the time of the fault, the device where the fault occurred, and the type of fault. Operation and maintenance solution data includes the person who solved the problem, the steps for implementing the solution, and the total time for solving the problem. When processing and classifying all the statistical operation and maintenance processing information, all the operation and maintenance processing information is sorted according to the order of the fault occurrence time, and the operation and maintenance fault data and operation and maintenance solution data in the operation and maintenance processing information are obtained in sequence; Obtain the fault-occurring device and fault-occurring type in the operation and maintenance fault data and mark them as first-class child nodes and second-class child nodes in the standard tree diagram respectively; Also, the solution implementation steps and total solution processing time in the operation and maintenance solution data are marked as three-type sub-nodes and four-type sub-nodes respectively. According to the fault occurrence number, the fourth-category sub-node is associated and bound with the third-category sub-node, the third-category sub-node is associated and bound with the second-category sub-node, and the second-category sub-node is associated and bound with the first-category sub-node.

3. The information system operation and maintenance service management system according to claim 2, characterized in that: When filling different operation and maintenance processing information into the standard data graph in turn, the fault-occurring equipment, fault type and solution implementation steps are traversed and matched with all corresponding child nodes in turn; If the same fault-occurring device, fault type, or solution implementation step already exists in the corresponding sub-node, the total number of occurrences associated with the corresponding sub-node is increased by one; If the same fault-occurring device, fault-occurring type or solution implementation step does not exist in the corresponding sub-node, a sub-node of the corresponding level is generated, and the sub-node corresponding to the newly added solution implementation step is marked as a newly added target sub-node; The standard tree diagram filled with all operation and maintenance processing information is marked as an operation and maintenance fault resolution integrated tree diagram.

4. The information system operation and maintenance service management system according to claim 3, characterized in that: The steps to determine whether the implementation step exists include: Perform keyword recognition and extraction combination on the solution implementation steps in the operation processing information to obtain a keyword group containing several sub-steps; The keyword groups of several sub-steps are matched with the standard keyword groups of several sub-steps corresponding to the fault occurrence type in sequence. If there are different keywords, a difference label is generated, and the solution implementation step in the operation processing information is marked as newly added according to the difference label.

5. The information system operation and maintenance service management system according to claim 1, characterized in that: The steps for obtaining the error correction factors corresponding to different fault types include: According to the fault type, the corresponding standard processing time Tb is obtained, and the total processing time Tj for each fault processing of the fault type is obtained. The formula Calculate and obtain the error correction factor W corresponding to each fault type.

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