Management system and method based on operation and maintenance data analysis, medium and processor

Abstract

The invention discloses a management system and method based on operation and maintenance data analysis, a medium and a processor, relates to the technical field of data processing, and solves the problem that a data processing mode and system in the prior art do not provide data based on the management perspective for management decision assistance for management personnel. The system is provided with a data monitoring unit, a system self-checking unit and a terminal. Wherein the data monitoring unit collects power grid operation and maintenance data, identifies whether a fault exists based on a fault identification model, and sends an alarm signal to the terminal after identifying the fault, and the terminal receives the alarm signal from the alarm module, carries out fault confirmation and processing, and then feeds back feedback information to the system self-checking unit. The system self-checking unit receives the data of the data monitoring unit and the terminal, and calculates the comprehensive score of the system, thereby providing quantized data for the management personnel for reference, and facilitating the next management operation of the management personnel.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a management system, method, medium and processor based on operation and maintenance data analysis. Background Art

[0002] With the rapid development of information technology, the management of power systems is increasingly dependent on the digital transformation of power grid operation and maintenance data. Thanks to the widespread deployment of smart meters and the application of big data technology, the distribution network has accumulated a large amount of data resources during operation. These data not only receive multiple aspects such as predicting power demand, optimizing power station site selection, and improving operational efficiency, but also significantly improve the operation efficiency of the power grid. The advancement of digital technology enables the efficient collection and storage of power grid operation and maintenance data, laying a solid foundation for subsequent data analysis and application. In terms of the digitalization and intelligent construction of power grids, most data processing systems will adopt cutting-edge technologies such as cloud computing, big data, the Internet of Things, mobile Internet, artificial intelligence, and blockchain, integrating multi-dimensional information such as power grid and equipment operation monitoring data, thereby enhancing the intelligent operation and maintenance level of the power grid.

[0003] However, the current management system based on power grid data is still at the stage of collecting and visualizing data. Even if there is further processing of the data, such as fault identification, it is mostly data processing and result application based on business or service perspectives, and rarely provides management personnel with data based on management perspectives to assist management decisions.

[0004] In view of this, a management system, method, medium and processor based on operation and maintenance data analysis are needed. Summary of the invention

[0005] In view of the problem that the data processing methods and systems in the prior art do not provide managers with data based on management perspectives to assist management decisions, the present invention provides a management system, method, medium and processor based on operation and maintenance data analysis, which can collect power grid data and identify faults based on this, and then send an alarm signal to the terminal and let the terminal perform further processing, and then conduct a comprehensive system evaluation based on the data carried by the alarm signal and feedback signal in this process, and then provide managers with quantitative data for reference, so as to facilitate the next step of management operations. The specific technical solution is as follows:

[0006] A management system based on operation and maintenance data analysis, comprising:

[0007] The data monitoring unit includes a fault identification module, an alarm module and a personnel and tool matching module. The fault identification module receives and collects power grid operation and maintenance data and identifies whether a fault exists based on a fault identification model, and after identifying the fault, controls the alarm module to send an alarm signal to the terminal; the personnel and tool matching module stores the fault type and the qualification requirements of the processing personnel under the fault type and the list of required tools;

[0008] A system self-checking unit receives data from the data monitoring unit and the terminal, and calculates an identification accuracy coefficient and a fault processing cycle coefficient, wherein the identification accuracy coefficient is the ratio of the number of faults confirmed by the terminal to the number of faults identified by the fault identification module, and the fault processing cycle coefficient is the average fault processing time up to the current moment;

[0009] The terminal receives the alarm signal from the alarm module, confirms and handles the fault, and then feeds back the feedback information to the system self-check unit. The feedback information includes whether a fault has occurred, the fault handling time, and the fault handling personnel.

[0010] Preferably, the system self-checking unit receives and calculates the comprehensive score, and the specific calculation formula is as follows:

[0011]

[0012] Where P 系统 P is the comprehensive score of the system. accuracy is the recognition accuracy coefficient, P time is the fault processing cycle coefficient, μ1 and μ2 are the weights of the recognition accuracy coefficient and the fault processing cycle coefficient respectively;

[0013] The calculation formula of the recognition accuracy coefficient is as follows:

[0014]

[0015] Where P accuracy is the recognition accuracy coefficient, which means the proportion of the number of faults confirmed by the terminal to the number of faults identified by the fault identification module; F check F is the number of faults confirmed by the terminal up to the current moment; identification is the number of faults identified by the fault identification module up to the current moment;

[0016] The calculation formula of the fault handling cycle coefficient is as follows:

[0017]

[0018] Where P time is the fault handling cycle coefficient, T iis the processing cycle of the terminal feedback when processing the ith fault, F check This is the number of faults confirmed by the terminal up to the current moment.

[0019] Preferably, the system self-checking unit receives and calculates the comprehensive score, and the specific calculation formula is as follows:

[0020]

[0021] Where P 系统 P is the comprehensive score of the system. accuracy is the recognition accuracy coefficient, P time is the fault handling cycle coefficient, P matching is the personnel matching degree coefficient; μ1, μ2, and μ3 are the weights of the recognition accuracy coefficient, the fault handling cycle coefficient, and the personnel matching degree coefficient, respectively;

[0022] The calculation formula of the recognition accuracy coefficient is as follows:

[0023]

[0024] Where P accuracy is the recognition accuracy coefficient, which means the proportion of the number of faults confirmed by the terminal to the number of faults identified by the fault identification module; F check F is the number of faults confirmed by the terminal up to the current moment; identification is the number of faults identified by the fault identification module up to the current moment;

[0025] The calculation formula of the fault handling cycle coefficient is as follows:

[0026]

[0027] Where P time is the fault handling cycle coefficient, T i is the processing cycle of the terminal feedback when processing the ith fault, F check The number of faults confirmed by the terminal up to the current moment;

[0028] The calculation formula of the personnel matching coefficient is as follows:

[0029] P matching =k1P licence +k2P professional +k3P years

[0030] Where P matching is the personnel matching coefficient; P licenceis the license matching coefficient. When the person handling the fault has the license required by the current fault, the coefficient is 1, otherwise it is 0. professional is the job title matching coefficient. When the personnel used for troubleshooting have the job title required by the current fault, the coefficient is 1, otherwise it is 0; P years is the working years matching coefficient. When the working years of the personnel used for fault handling are greater than or equal to the required working years, the coefficient is 1, otherwise it is 0. k1, k2, and k3 are the weights of the license matching coefficient, professional title matching coefficient, and working years matching coefficient, respectively.

[0031] Preferably, it also includes a personnel and tool management unit, which includes a personnel information recording module, and the personnel information recording module records information including personnel name, ID number, work number, personnel-related licenses, qualification certificates, professional titles, and years of work experience.

[0032] Preferably, the personnel and tool management unit includes a tool storage module, a tool storage module, a tool maintenance registration module and a tool inventory record module; wherein:

[0033] Each tool has a barcode, QR code or other mark belonging to the tool, which contains information such as tool type, tool name and tool number; the tool storage module is equipped with a device including a barcode scanner to obtain information recognition devices covered in barcodes, QR codes or other marks; before the tool is put into storage, it will first pass through the tool maintenance registration module, and relevant personnel will determine whether the tool needs maintenance. If maintenance is required, the tool will be registered in the tool maintenance registration module; if maintenance is not required, the tool will be registered in the tool inventory record module;

[0034] The outbound module also includes a device for obtaining information recognition covered by a barcode, a QR code or other mark, including a barcode scanner, receiving and identifying information such as the tool type, tool name and tool number, and then erasing the tool information from the tool inventory record module;

[0035] The tool inventory record module receives real-time updates on the inventory status of tools.

[0036] Preferably, it also includes a fault analysis unit, which includes a fault statistics module and a visualization module. The fault statistics module receives the alarm signal from the data monitoring unit, obtains and stores the fault type and the specific location of the fault, records the number of occurrences of each fault type and the number of times the type of fault occurs at each specific location, and the visualization module displays the data counted by the fault statistics module in a visual manner.

[0037] Preferably, it further includes a regional comprehensive evaluation unit, which receives and calculates the recognition accuracy coefficient, specifically as follows:

[0038]

[0039] Where P 区域 (t) is the comprehensive score of the region, P 系统 (i_t) calculates the system comprehensive score at the time when the i-th fault occurs within the period t, F check_t is the number of failures that occur within cycle t, F repeated_t is the number of repetitions of the fault type with the largest number of repetitions in this area within period t, and η1, η2, and η3 are weight coefficients.

[0040] A management method based on operation and maintenance data analysis should receive the system as described above, and includes the following steps:

[0041] Collect power grid data and identify faults based on the fault identification model, and then send an alarm signal including the fault type, the qualifications of the personnel handling the fault type, and the required tools to the terminal after the fault is identified;

[0042] After receiving the alarm signal, the terminal confirms whether a fault has occurred and sends a feedback signal. If a fault does occur, the terminal starts to perform a repair operation for the fault. During the repair operation, the terminal selects the corresponding personnel and tools based on the personnel information recording module and the tool inventory recording module. Finally, after the repair is completed, the terminal sends a feedback signal again to feedback the completion time.

[0043] The system self-check unit calculates the system comprehensive score based on the alarm signal and feedback signal to reflect the reliability of the system;

[0044] The regional comprehensive evaluation unit calculates the regional comprehensive score based on the system comprehensive score, the alarm signal and the feedback signal; and compares the regional comprehensive scores of different regions within the same cycle, and compares the comprehensive scores of the same region within different cycles.

[0045] A computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the management method based on operation and maintenance data analysis as described above.

[0046] A processor receives a running program, wherein the program executes the management method based on operation and maintenance data analysis as described above when the program is running.

[0047] Compared with the prior art, the present invention has the following beneficial effects:

[0048] 1. The present invention is provided with a data monitoring unit, a system self-checking unit and a terminal. The data monitoring unit collects power grid operation and maintenance data and identifies whether a fault exists based on a fault identification model, and after identifying the fault, controls the alarm module to send an alarm signal to the terminal, and the terminal receives the alarm signal from the alarm module, confirms and processes the fault, and then feeds back the feedback information to the system self-checking unit. The system self-checking unit receives the data from the data monitoring unit and the terminal, and calculates the identification accuracy coefficient and the fault processing cycle coefficient, and weights and sums the identification accuracy coefficient and the fault processing cycle coefficient to obtain a comprehensive system score, thereby providing a quantitative data to the management personnel for reference, so as to facilitate the next step of management operations.

[0049] 2. The system self-check unit of the present invention also calculates the personnel matching degree coefficient, which is affected by various types of personnel licenses, professional titles and years of work experience, and is reflected in the matching degree of license requirements, professional title requirements and years of work experience requirements. The personnel matching degree coefficient is also added to the system comprehensive score. The system comprehensive score is obtained by weighted summation of the recognition accuracy coefficient, the fault handling cycle coefficient and the personnel matching degree coefficient, thereby improving the consideration dimension of the system comprehensive score and further improving the accuracy of the system reliability assessment.

[0050] 3. The present invention is also provided with a regional comprehensive evaluation unit, which receives and collects the fault identification and fault handling conditions of each collection point within the limited area, and then obtains a regional comprehensive score. Based on the regional comprehensive score, the regional comprehensive scores of different areas in the same cycle are compared, and the comprehensive scores of the same area in different cycles are compared. This is convenient for managers to carry out targeted management based on the comprehensive scores of each area. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the specific embodiments or the description of the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn according to the actual scale.

[0052] Figure 1 It is a schematic diagram of the overall structure of the system of the present invention;

[0053] Figure 2 This is a flow chart for constructing the fault identification model of the present invention. DETAILED DESCRIPTION

[0054] 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 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.

[0055] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0056] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0057] It should be further understood that the term "and / or" used in the present description and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0058] In one embodiment of the present invention, a management system based on operation and maintenance data analysis is provided, such as Figure 1 As shown, including:

[0059] 1. Data Monitoring Unit

[0060] The data monitoring unit includes a fault identification module, an alarm module and a personnel and tool matching module. The fault identification module receives and collects power grid operation and maintenance data and identifies whether there is a fault based on the fault identification model. After identifying the fault, the alarm module is controlled to send an alarm signal to the terminal. The personnel and tool matching module stores the fault type and the qualification requirements of the processing personnel under the fault type and the list of required tools. The qualification requirements of the processing personnel include various types of licenses, titles and years of work. The tools include insulating gloves, insulating boots, grounding rods, grounding wires, wrenches, pliers, multimeters, cable cutting and stripping tools, insulating rods, voltage indicator pens, cable testers and other commonly used power grid maintenance tools.

[0061] The format of data storage in the personnel and tool matching module is shown in Table 1 below:

[0062] Table 1 Fault-personnel-tool matching table

[0063]

[0064] like Figure 2 As shown, the construction process of the fault identification model is as follows:

[0065] S1: Collect power grid operation and maintenance data, including but not limited to: electrical quantity information such as current and voltage, circuit breaker protection information, external environment information (such as weather and temperature), equipment status monitoring data, historical fault records, and equipment geographic location information (latitude and longitude coordinates);

[0066] S2: Data preprocessing: Clean and preprocess the collected data, including:

[0067] Data cleaning: remove outliers and noisy data.

[0068] Missing value handling: filling in or deleting missing data records.

[0069] Data transformation: Convert non-numeric data to numeric data, such as using one-hot encoding to handle categorical variables.

[0070] Normalization: Standardize or normalize the data so that it is on the same scale.

[0071] S3: Classify and mark historical fault data to determine the fault type; and mark the location where the fault occurred, including the determination of longitude and latitude coordinates;

[0072] S4: Select the features most relevant to the fault type and geographical location, such as voltage sag, current mutation, etc. Divide the labeled data set into training set and test set in a ratio of 70:30 or 80:20;

[0073] S5: Model selection and training: Use convolutional neural network (CNN), use training set data to train the model, and tune and verify the model parameters.

[0074] S6: Use the test set data to evaluate the performance of the model. The evaluation indicators include accuracy, recall, F1 score, etc.

[0075] To summarize, the data monitoring unit first collects the power grid operation and maintenance data, and identifies the fault type based on the trained fault identification model. Then, according to the fault type and in combination with the fault-personnel-tool matching table, the qualifications of the processing personnel and the required tools under the fault type are extracted, and finally an alarm signal is sent through the alarm module. The alarm signal includes: fault type, personnel qualifications and a list of required tools. Moreover, the receiving end of the alarm signal includes: a fault analysis unit, a system self-check unit, and a terminal.

[0076] 2. Fault Analysis Unit

[0077] The fault analysis unit includes a fault statistics module and a visualization module. The fault statistics module receives the alarm signal from the data monitoring unit, obtains and stores the fault type and the specific location of the fault, records the number of occurrences of each fault type and the number of times the type of fault occurs at each specific location, and the visualization module displays the data counted by the fault statistics module in a visual manner.

[0078] 3. Personnel and tool management unit

[0079] The personnel and tool management unit includes a personnel information recording module, a tool storage module, a tool outbound module, a tool maintenance registration module, and a tool inventory recording module;

[0080] Among them, the personnel information recording module records information including personnel name, ID number, work number, personnel-related licenses, qualification certificates, professional titles, years of work experience, etc. This information is the basis for selecting and mobilizing personnel during fault troubleshooting.

[0081] Each tool has a barcode, QR code or other mark (or label) belonging to the tool, which contains information such as tool type, tool name and tool number. The tool storage module has a barcode scanner and other information recognition devices to obtain the information contained in the barcode, QR code or other mark (or label). Before the tool is put into storage, it will first pass through the tool maintenance registration module, and the relevant personnel will determine whether the tool needs maintenance. If maintenance is required, the tool will be registered in the tool maintenance registration module. If maintenance is not required, the tool will be registered in the tool inventory record module.

[0082] Similar to the item entry module, the outbound module also includes a barcode scanner or other information identification device that obtains information contained in barcodes, QR codes or other signs (or labels), receives and identifies information such as tool type, tool name and tool number, and then erases the tool information from the tool inventory record module.

[0083] The tool inventory record module receives real-time updated tool inventory status, which corresponds to the tool maintenance registration module. The inventory status of the tool inventory record module reflects the inventory of available tools, while the inventory status of the tool maintenance registration module reflects the inventory of tools that need maintenance.

[0084] In summary, the workflow of the personnel and tool management unit is: first, each tool is given a unique barcode, QR code or other mark (or label), covering information such as tool type, tool name and tool number. When the tool is put into storage, it is checked by relevant staff to decide whether to register the tool information into the tool inventory record module or the tool maintenance registration module. When power grid maintenance operations are required, the tool is taken from the warehouse and passed through the outbound module, and the corresponding tool information is erased from the tool inventory record module. So far, the tool inventory record module has been keeping a real-time update of the inventory of available tools. In addition, if the tool in the tool maintenance record module can continue to work after maintenance, then it can continue to be put into storage through the storage module.

[0085] 4. System self-check unit

[0086] The system self-check unit receives comprehensive scores from multiple aspects such as recognition accuracy, fault handling cycle, and personnel matching degree, and then determines the reliability of the entire fault handling process.

[0087] The recognition accuracy is the ratio of the number of faults confirmed by the terminal to the number of faults identified by the fault identification module. The calculation formula of the recognition accuracy coefficient is as follows:

[0088]

[0089] Where P accuracy is the recognition accuracy coefficient, which means the proportion of the number of faults confirmed by the terminal to the number of faults identified by the fault identification module; F check F is the number of faults confirmed by the terminal up to the current moment; identification is the number of faults identified by the fault identification module up to the current moment.

[0090] The fault handling cycle is the time it takes for the terminal to respond, solve the fault and feed back to the system (feedback to the system unit, and the feedback signal is received by the system self-checking unit) after receiving the alarm signal. The fault handling cycle coefficient is used to reflect the speed of fault handling. The calculation formula of the fault handling cycle coefficient is as follows:

[0091]

[0092] Where P time is the fault handling cycle coefficient, T i is the processing cycle of the terminal feedback when processing the ith fault, F check This is the number of faults confirmed by the terminal up to the current moment.

[0093] The personnel matching degree is affected by the personnel's various licenses, professional titles and years of work experience, which is reflected in the matching degree of the license requirements, professional title requirements and years of work experience requirements, and is quantitatively reflected by the personnel matching degree coefficient. The calculation formula of the personnel matching degree coefficient is as follows:

[0094] P matching =k1P licence +k2P professional +k3P years

[0095] Where P matching is the personnel matching coefficient; P licence is the license matching coefficient. When the person handling the fault has the license required by the current fault, the coefficient is 1, otherwise it is 0. professional is the job title matching coefficient. When the personnel used for troubleshooting have the job title required by the current fault, the coefficient is 1, otherwise it is 0; P years is the working years matching coefficient. When the personnel used for fault handling have the working years required for the current fault (the personnel's working years are greater than or equal to the required working years), the coefficient is 1, otherwise it is 0. k1, k2, and k3 are the weights of the license matching coefficient, professional title matching coefficient, and working years matching coefficient, respectively, reflecting the different levels of importance attached to licenses, professional titles, and working years. The more importance is attached, the higher the corresponding weight is.

[0096] The specific calculation formula for the comprehensive score is as follows:

[0097]

[0098] Where P 系统 P is the comprehensive score of the system. accuracy is the recognition accuracy coefficient, P time is the fault handling cycle coefficient, P matching is the personnel matching coefficient; μ1, μ2, and μ3 are the weights of the recognition accuracy coefficient, the fault handling cycle coefficient, and the personnel matching coefficient, respectively, which reflect the different levels of importance attached to the recognition accuracy coefficient, the fault handling cycle coefficient, and the personnel matching coefficient. The more importance is attached, the higher the weight of the response.

[0099] In summary, it can be seen that the system comprehensive score can reflect the performance of the system, which includes: the accuracy of fault identification, the speed of fault handling, and the matching degree of personnel during fault handling. In other words, the higher the system comprehensive score, the stronger the system reliability. Moreover, the system comprehensive score is updated in real time, that is, every time a fault is identified and handled (when the fault data is updated), the system comprehensive score will be updated.

[0100] V. Regional Comprehensive Evaluation Unit

[0101] The regional comprehensive evaluation unit receives and collects the fault identification and fault handling of each collection point within the limited area, and then obtains the regional comprehensive score. Based on the regional comprehensive score, it compares the regional comprehensive scores of different areas in the same cycle, and compares the comprehensive scores of the same area in different cycles. This makes it easier for managers to carry out targeted management based on the comprehensive scores of each area.

[0102] The regional comprehensive score is related to the number of faults in the region, the number of faults of the same type at the same collection point, and the system comprehensive score when the fault occurs, as follows:

[0103]

[0104] Where P 区域 (t) is the comprehensive score of the region, P 系统 (i_t) calculates the system comprehensive score at the time when the i-th fault occurs within the period t, F check_t is the number of failures that occur within cycle t, F repeated_t is the number of repetitions of the fault type with the largest number of repetitions in this area within period t. η1, η2, and η3 are weight coefficients, which reflect the different degrees of influence of different items in the overall formula. By setting different weight coefficients, the proportion of different items in the overall formula can be made larger.

[0105] In summary, it can be seen from the formula of the regional comprehensive score that it reflects the comprehensive score within the period t. That is to say, by calculating the regional comprehensive score within different periods t, the reliability of the region within different periods t can be compared. For example, if the period t is set to years, the reliability change trend of the region in recent years can be compared in units of years. The larger the regional comprehensive score, the higher the reliability. When the reliability decreases year by year, the management department needs to pay close attention. If the reliability increases year by year, it means that the reliability of the region is increasing year by year, and there is no need to invest a lot of energy in focusing on and controlling it. In addition, in addition to comparing the regions themselves in the time dimension, the comprehensive scores of different regions can also be compared based on the same period, so as to know which region has a higher comprehensive score and which region has a lower comprehensive score, so as to facilitate the management department to carry out focused control.

[0106] 6. Terminal

[0107] The terminal receives the alarm signal from the alarm module, confirms and processes the fault, and then feeds back the feedback information to the fault analysis unit, the system self-check unit, and the regional comprehensive evaluation unit. The feedback information includes: whether the fault information is accurate (whether a fault has really occurred), the fault location, and the fault processing time.

[0108] In one embodiment of the present invention, a management method based on operation and maintenance data analysis is provided, which should receive the system as described above, and includes the following steps:

[0109] Collect power grid data and identify faults based on the fault identification model, and then send an alarm signal including the fault type, the qualifications of the personnel handling the fault type, and the required tools to the terminal after the fault is identified;

[0110] After receiving the alarm signal, the terminal confirms whether a fault has occurred and sends a feedback signal. If a fault does occur, the terminal starts to perform a repair operation for the fault. During the repair operation, the terminal selects the corresponding personnel and tools based on the personnel information recording module and the tool inventory recording module. Finally, after the repair is completed, the terminal sends a feedback signal again to feedback the completion time.

[0111] The system self-check unit calculates the system comprehensive score based on the alarm signal and feedback signal to reflect the reliability of the system;

[0112] The regional comprehensive evaluation unit calculates the regional comprehensive score based on the system comprehensive score, the alarm signal and the feedback signal; and compares the regional comprehensive scores of different regions within the same cycle, and compares the comprehensive scores of the same region within different cycles.

[0113] In summary, the present invention is provided with a data monitoring unit, a system self-checking unit and a terminal. Among them, the data monitoring unit collects power grid operation and maintenance data and identifies whether there is a fault based on a fault identification model, and after identifying the fault, controls the alarm module to send an alarm signal to the terminal, and the terminal receives the alarm signal from the alarm module, confirms and processes the fault, and then feeds back the feedback information to the system self-checking unit. The system self-checking unit receives the data of the data monitoring unit and the terminal, and calculates the identification accuracy coefficient and the fault processing cycle coefficient, and weights and sums the identification accuracy coefficient and the fault processing cycle coefficient to obtain a comprehensive system score, thereby providing a quantitative data to the management personnel for reference, so as to facilitate the next step of management operations.

[0114] Moreover, the system self-check unit of the present invention also calculates the personnel matching degree coefficient, which is affected by various types of personnel licenses, professional titles and years of work experience, and is reflected in the matching degree of license requirements, professional title requirements and years of work experience requirements. The personnel matching degree coefficient is also added to the system comprehensive score. The system comprehensive score is obtained by weighted summation of the recognition accuracy coefficient, the fault handling cycle coefficient and the personnel matching degree coefficient, thereby improving the consideration dimension of the system comprehensive score and further improving the accuracy of the system reliability assessment.

[0115] In addition, the present invention is also provided with a regional comprehensive evaluation unit, which receives and collects the fault identification and fault handling conditions of each collection point within the limited area, and then obtains a regional comprehensive score, and based on the regional comprehensive score, further compares the regional comprehensive scores of different areas in the same cycle, and further compares the comprehensive scores of the same area in different cycles. It is convenient for managers to carry out targeted management based on the comprehensive scores of each area.

[0116] Those of ordinary skill in the art will appreciate that the units of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition of each example has been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0117] In the embodiments provided by the present invention, it should be understood that the division of units is only a logical function division, and there may be other division methods in actual implementation, for example, multiple units can be combined into one unit, one unit can be split into multiple units, or some features can be ignored, etc.

[0118] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0119] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-0nlyMemory), random access memory (RAM, RandomAccessMemory), mobile hard disk, magnetic disk or optical disk, etc., which can store program code.

[0120] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A management system based on operation and maintenance data analysis, characterized in that: include: The data monitoring unit includes a fault identification module, an alarm module and a personnel and tool matching module. The fault identification module receives and collects power grid operation and maintenance data and identifies whether a fault exists based on a fault identification model. After the fault is identified, the alarm module is controlled to send an alarm signal to the terminal. The personnel and tool matching module stores the fault type and the qualification requirements of the processing personnel under the fault type and the list of required tools. The system self-checking unit receives data from the data monitoring unit and the terminal, calculates the recognition accuracy coefficient and the fault processing cycle coefficient, and obtains a comprehensive system score by weighted summation of the recognition accuracy coefficient and the fault processing cycle coefficient. The recognition accuracy coefficient is the proportion of the number of faults confirmed by the terminal to the number of faults identified by the fault identification module, and the fault processing cycle coefficient is the average fault processing time up to the current moment; The terminal receives the alarm signal from the alarm module, confirms and handles the fault, and then feeds back the feedback information to the system self-check unit. The feedback information includes whether a fault has occurred, the fault handling time, and the fault handling personnel.

2. A management system based on operation and maintenance data analysis according to claim 1, characterized in that: The system self-check unit receives and calculates the comprehensive score, and the specific calculation formula is as follows: Where P 系统 P is the comprehensive score of the system. accuracy is the recognition accuracy coefficient, P time is the fault processing cycle coefficient, μ1 and μ2 are the weights of the recognition accuracy coefficient and the fault processing cycle coefficient respectively; The calculation formula of the recognition accuracy coefficient is as follows: Where P accuracy is the recognition accuracy coefficient, which means the proportion of the number of faults confirmed by the terminal to the number of faults identified by the fault identification module; F check F is the number of faults confirmed by the terminal up to the current moment; identification is the number of faults identified by the fault identification module up to the current moment; The calculation formula of the fault handling cycle coefficient is as follows: Where P time is the fault handling cycle coefficient, T i is the processing cycle of the terminal feedback when processing the i-th fault, F check This is the number of faults confirmed by the terminal up to the current moment.

3. A management system based on operation and maintenance data analysis according to claim 1, characterized in that: The system self-check unit receives and calculates the comprehensive score, and the specific calculation formula is as follows: Where P 系统 P is the comprehensive score of the system. accuracy is the recognition accuracy coefficient, P time is the fault handling cycle coefficient, P matching is the personnel matching degree coefficient; μ1, μ2, and μ3 are the weights of the recognition accuracy coefficient, the fault handling cycle coefficient, and the personnel matching degree coefficient, respectively; The calculation formula of the recognition accuracy coefficient is as follows: Where P accuracy is the recognition accuracy coefficient, which means the proportion of the number of faults confirmed by the terminal to the number of faults identified by the fault identification module; F check F is the number of faults confirmed by the terminal up to the current moment; identification is the number of faults identified by the fault identification module up to the current moment; The calculation formula of the fault handling cycle coefficient is as follows: Where P time is the fault handling cycle coefficient, T i is the processing cycle of the terminal feedback when processing the i-th fault, F check The number of faults confirmed by the terminal up to the current moment; The calculation formula of the personnel matching coefficient is as follows: P matching =k1P licence +k2P professional +k3P years Where P matching is the personnel matching coefficient; P licence is the license matching coefficient. When the person handling the fault has the license required by the current fault, the license matching coefficient is 1, otherwise it is 0. professional is the job title matching coefficient. When the personnel used for troubleshooting have the job title required by the current fault, the job title matching coefficient is 1, otherwise it is 0; years is the working years matching coefficient. When the working years of the personnel used for fault handling are greater than or equal to the required working years, the working years matching coefficient is 1, otherwise it is 0. k1, k2, and k3 are the weights of the license matching coefficient, professional title matching coefficient, and working years matching coefficient, respectively.

4. A management system based on operation and maintenance data analysis according to any one of claims 2-3, characterized in that: It also includes a personnel and tool management unit, which includes a personnel information recording module. The personnel information recording module records information including the personnel's name, ID number, work number, personnel-related licenses, qualification certificates, professional titles, and years of work experience.

5. A management system based on operation and maintenance data analysis according to claim 4, characterized in that: The personnel and tool management unit has a tool storage module, a tool storage module, a tool maintenance registration module and a tool inventory record module; wherein: Each tool has a barcode, QR code or other mark belonging to the tool, which contains information such as tool type, tool name and tool number; the tool storage module is equipped with a device including a barcode scanner to obtain information recognition devices covered in barcodes, QR codes or other marks; before the tool is put into storage, it will first pass through the tool maintenance registration module, and relevant personnel will determine whether the tool needs maintenance. If maintenance is required, the tool will be registered in the tool maintenance registration module; if maintenance is not required, the tool will be registered in the tool inventory record module; The outbound module also includes a device for obtaining information recognition covered by a barcode, a QR code or other mark, including a barcode scanner, receiving and identifying information such as the tool type, tool name and tool number, and then erasing the tool information from the tool inventory record module; The tool inventory record module receives real-time updates on the inventory status of tools.

6. A management system based on operation and maintenance data analysis according to claim 5, characterized in that: It also includes a fault analysis unit, which includes a fault statistics module and a visualization module. The fault statistics module receives an alarm signal from a data monitoring unit, obtains and stores the fault type and the specific location of the fault, records the number of occurrences of each fault type and the number of times the type of fault occurs at each specific location, and the visualization module displays the data counted by the fault statistics module in a visual manner.

7. A management system based on operation and maintenance data analysis according to claim 5, characterized in that: It also includes a regional comprehensive evaluation unit, which receives and calculates the recognition accuracy coefficient, specifically as follows: Where P 区域 (t) is the comprehensive score of the region, P 系统 (i_t) calculates the system comprehensive score at the time when the i-th fault occurs within the period t, F check_t is the number of failures that occur within cycle t, F repeated_t is the number of repetitions of the fault type with the largest number of repetitions in the area within period t, and η1, η2, and η3 are weight coefficients.

8. A management method based on operation and maintenance data analysis, characterized in that: The system of claim 7 should be received, comprising the following steps: Collect power grid data and identify faults based on the fault identification model, and then send an alarm signal including the fault type, the qualifications of the personnel handling the fault type, and the required tools to the terminal after the fault is identified; After receiving the alarm signal, the terminal confirms whether a fault has occurred and sends a feedback signal. If a fault does occur, the terminal starts to perform a repair operation for the fault. During the repair operation, the terminal selects the corresponding personnel and tools based on the personnel information recording module and the tool inventory recording module. Finally, after the repair is completed, the terminal sends a feedback signal again to feedback the completion time. The system self-check unit calculates the system comprehensive score based on the alarm signal and feedback signal to reflect the reliability of the system; The regional comprehensive evaluation unit calculates the regional comprehensive score based on the system comprehensive score, the alarm signal and the feedback signal; and compares the regional comprehensive scores of different regions within the same cycle, and compares the comprehensive scores of the same region within different cycles.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the management method based on operation and maintenance data analysis according to claim 8.

10. A processor, characterized in that: The processor receives an operating program, wherein the program, when running, executes the management method based on operation and maintenance data analysis as described in claim 8.

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