Transformer operation and maintenance regulation and control method and system

Abstract

The invention relates to the technical field of operation and maintenance regulation and control, in particular to a transformer operation and maintenance regulation and control method and system, and the method comprises the steps: obtaining transformer historical data, carrying out the data processing of the transformer historical data, and determining an operation and maintenance plan time table; obtaining a historical operation and maintenance record form of the transformer, performing form processing on the historical operation and maintenance record form, and constructing an operation and maintenance recommendation node of each operation and maintenance type; acquiring real-time data of the transformer, performing real-time processing and analysis on the real-time data, and determining an objective intervention factor of the operation and maintenance recommendation node; obtaining an operation and maintenance arrangement of operation and maintenance personnel, performing simultaneous analysis in combination with the operation and maintenance arrangement and the operation and maintenance plan time table, and determining a subjective intervention factor of the operation and maintenance recommendation node; and constructing an operation and maintenance decision node based on the operation and maintenance type according to the operation and maintenance recommendation node, the subjective intervention factor and the objective intervention factor. According to the invention, the problems of rigid maintenance period and single personnel scheduling in the prior art are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of operation, maintenance and control, and in particular to a transformer operation, maintenance and control method and system. Background Art

[0002] Transformer operation and maintenance is a key link in the full life cycle management of transformers in power systems, aiming to ensure their safe, stable and efficient operation, including daily monitoring, regular maintenance and fault handling.

[0003] A Chinese patent document with publication number CN118822509A discloses a transformer operation and maintenance method and system based on big data, the method comprising: dividing the transformer into multiple components and forming a component structure tree of the transformer, obtaining real-time operation data of each component, and analyzing the real-time operation data to obtain a predicted state coefficient of each component; determining the failure probability of the corresponding component according to the predicted state coefficient, and determining multiple operation and maintenance strategies according to the failure probability; determining the importance according to the component structure tree of the transformer, setting the operation and maintenance priority according to the importance of the component and the cost-effectiveness ratio, and generating multiple operation and maintenance strategy groups according to the operation and maintenance priority and multiple operation and maintenance strategies; establishing an objective function for minimizing operation and inspection energy consumption and an objective function for maximizing reliability, and determining the optimal operation and maintenance strategy group of the current transformer, improving the reliability and performance of each component, effectively controlling maintenance costs and reducing unexpected downtime, thereby improving the overall operation and maintenance efficiency and economic benefits of the transformer.

[0004] Compared with the existing technology, the analysis and prediction of the status of the transformer's own components requires a huge amount of data calculation, which does not have obvious advantages compared to the monitoring of key parameters in the components to adjust their operation and maintenance cycle. At the same time, the operation and maintenance effect of the transformer plays a more important role in the selection of operation and maintenance personnel. How to reasonably arrange operation and maintenance personnel to operate and maintain the transformer and solve the rigid maintenance cycle and single personnel scheduling has become a problem that needs to be solved urgently. Summary of the invention

[0005] The purpose of the present invention is to propose a transformer operation and maintenance control method and system in view of the problems existing in the background technology.

[0006] The technical solution of the present invention: a transformer operation and maintenance control method, comprising the following steps: obtaining transformer historical data, performing data processing on the transformer historical data, and determining an operation and maintenance plan schedule based on the transformer operation and maintenance type; Obtain the transformer's historical operation and maintenance record form, and determine multiple historical operation and maintenance records of the transformer; Perform form processing on historical operation and maintenance forms to obtain a multidimensional database of operation and maintenance personnel based on operation and maintenance personnel, perform library processing on the multidimensional database of operation and maintenance personnel, and construct an operation and maintenance recommendation node for each operation and maintenance type based on the operation and maintenance plan schedule; Obtain real-time data of transformers, process and analyze the real-time data in real time, and determine the objective intervention factors of the operation and maintenance recommended nodes; Obtain the operation and maintenance arrangements of the operation and maintenance personnel, conduct joint analysis based on the operation and maintenance arrangements and the operation and maintenance plan schedule, and determine the subjective intervention factors of the operation and maintenance recommended nodes; According to the operation and maintenance recommendation nodes, subjective intervention factors and objective intervention factors, an operation and maintenance decision node based on the operation and maintenance type is constructed, and the operation and maintenance plan schedule is adjusted based on the operation and maintenance decision node.

[0007] Preferably, the method for processing transformer historical data includes: Obtain the key parameters of different parts of the transformer, establish the key parameter time series of different parts of the transformer according to the historical timestamps, and determine the parameter risk value of the sequence elements in the key parameter time series through the following parameter risk calculation formula ; ; In the formula, is the sequence element in the key parameter time series; c is the sequence element number; is the standard parameter of the transformer, which is obtained based on the safety test of the transformer; is the parameter change threshold; Parameter risk value of the same part of the transformer Perform data analysis, if the parameter risk value If the parameter risk value is not greater than 1, it is marked as a normal parameter; If it is greater than 1, it is marked as an abnormal parameter; Based on the abnormal parameters, the key parameter time series is segmented to obtain several historical parameter time subsequences, the sequence span duration of the historical parameter time subsequences is obtained, the sequence span duration of several key parameter time series is averaged, and the standard operation and maintenance cycle of the transformer part is obtained; Operation and maintenance arrangements are made according to the standard operation and maintenance cycles of the transformer parts respectively, and the operation and maintenance arrangements of each transformer part are taken as an operation and maintenance type to obtain an operation and maintenance plan schedule based on the operation and maintenance type.

[0008] Preferably, the historical operation and maintenance records include operation and maintenance type, operation and maintenance time information and operation and maintenance personnel information; Methods for processing historical operation and maintenance forms include: Record and process each historical operation and maintenance record in turn, mark the historical operation and maintenance record as the target record, determine the operation and maintenance start time and operation and maintenance end time according to the operation and maintenance time information of the target record, and calculate the operation and maintenance process duration of the operation and maintenance personnel; Mark the operation and maintenance end time of the target record as the target end time, mark the next historical operation and maintenance record of the target record as the selected record, obtain the operation and maintenance end time of the record and mark it as the selected end time, calculate the operation and maintenance interval duration based on the selected end time and the target end time, and use it as the operation and maintenance maintenance duration of the target record; The processing data of the target record is constructed according to the operation and maintenance personnel, operation and maintenance type, operation and maintenance process duration and operation and maintenance maintenance duration of the target record, and the processing data of each target data is combined to obtain the processing database of the historical operation and maintenance form; The operation and maintenance personnel are used as search terms to perform data search in the processing database to obtain search data, and a multidimensional database of operation and maintenance personnel is established according to the search data matching the operation and maintenance personnel.

[0009] Preferably, the method for performing database processing on the multidimensional database of operation and maintenance personnel includes performing a first data evaluation on the multidimensional database of operation and maintenance personnel to determine the operation and maintenance time efficiency coefficient of the operation and maintenance personnel; The first data evaluation applies the following formula: ; In the formula, is the operation and maintenance time efficiency coefficient; The duration of the operation and maintenance process; is the standard process duration, which is calculated based on the average duration of all operation and maintenance processes of this operation and maintenance type; The operation and maintenance interval duration; is the standard operation and maintenance cycle; a is the operation and maintenance type number, a is a positive integer; i is the number of the operation and maintenance personnel processing data in the multidimensional database, i∈[1,n], n is a positive integer; k1 and k2 are weight coefficients.

[0010] Preferably, the method for performing database processing on the multidimensional database of operation and maintenance personnel further includes performing a second data evaluation on the multidimensional database of operation and maintenance personnel to determine the experience index of the operation and maintenance personnel, the method being as follows: For each processed data, the operation and maintenance interval is compared with the standard operation and maintenance cycle using the comparative feedback model, and the comparative feedback result of the processed data is output. The expression of the comparative feedback model is as follows: ; In the formula, To compare the feedback results; The experience index of the operation and maintenance personnel based on the operation and maintenance type is calculated by the following formula ; ; According to the operation and maintenance time efficiency coefficient of different operation and maintenance personnel and Construct an operation and maintenance recommendation node of the operation and maintenance type numbered a.

[0011] Preferably, the method for real-time processing and analysis of real-time data includes: According to the real-time timestamp, the key parameter time series of different parts of the transformer are established respectively, and the parameter risk calculation formula is used to calculate the parameter risk value of the sequence elements in the key parameter time series. The parameter risk value is analyzed as follows: Determine whether the parameter analysis value is not greater than 1. If the parameter analysis value is not greater than 1, the standard operation and maintenance cycle is used as the planning cycle; If the parameter analysis value is greater than 1, the parameter change value is compared with the preset risk threshold; If the interval between the most recent maintenance and operation times is not longer than the standard maintenance and operation cycle, the standard maintenance and operation cycle is calculated with the parameter risk value, and the calculated result is used as the planning cycle; If the parameter analysis value is greater than the risk threshold, the preset minimum cycle will be used as the planning cycle; The operation and maintenance plan schedule is updated according to the planning cycle and the next operation and maintenance schedule of the operation and maintenance type is determined, the next operation and maintenance schedule time is marked as the target time, and the operation and maintenance waiting period is determined according to the current time and the target time.

[0012] Preferably, the method of performing joint analysis in combination with the operation and maintenance arrangement and the operation and maintenance plan schedule includes: Determine whether the operation and maintenance personnel have any operation and maintenance arrangements during the operation and maintenance waiting period. If there are any operation and maintenance arrangements during the operation and maintenance waiting period, calculate the end time of the operation and maintenance arrangements after the operation and maintenance personnel have completed the operation and maintenance arrangements. Determine whether the end time of the operation and maintenance arrangement belongs to the operation and maintenance waiting period. If the end time of the operation and maintenance arrangement belongs to the operation and maintenance waiting period, mark the operation and maintenance personnel as target personnel, and calculate the time interval based on the end time of the operation and maintenance arrangement and the target time, and use it as the waiting rest time; If the end time of the operation and maintenance arrangement does not fall within the operation and maintenance waiting period, the operation and maintenance personnel will not be marked; If the operation and maintenance personnel have no operation and maintenance arrangements during the operation and maintenance waiting period, the operation and maintenance personnel will be marked as target personnel.

[0013] Preferably, a historical intervention period is established according to the current time, and the following operations are performed on all historical operation and maintenance records in the historical operation and maintenance form in sequence: Determine the historical operation and maintenance period according to the operation and maintenance start time and the operation and maintenance end time, compare the historical operation and maintenance period with the historical intervention period, obtain the overlapping period between the historical operation and maintenance period and calculate the corresponding overlapping duration; Obtain each historical operation and maintenance period of the target personnel and the corresponding overlapping duration, sort the historical operation and maintenance periods in chronological order based on the operation and maintenance end time corresponding to the historical operation and maintenance periods, obtain the historical operation and maintenance period sequence, mark the last sequence element of the historical operation and maintenance period sequence as the key element, obtain the operation and maintenance end time of the target element and mark it as the key end time; The interval duration is calculated based on the current time and the critical end time, and the calculation result is used as the intervention rest time of the operation and maintenance personnel; The operation and maintenance fatigue PL of the operation and maintenance personnel is calculated by the following formula; ; In the formula, is the overlap duration; j is the overlap period number; GT is the intervention period duration; DX is the waiting rest duration; GX is the intervention rest duration; h1 and h2 are weight coefficients; d is a constant; The operation and maintenance fatigue PL is used as a subjective intervention factor.

[0014] Preferably, the method for constructing an operation and maintenance decision node based on the operation and maintenance type is: Obtain the operation and maintenance time efficiency coefficient of the target personnel , Experience Index and the operation and maintenance fatigue PL, the operation and maintenance decision value of the target personnel for the operation and maintenance arrangement with the operation and maintenance type number a is calculated by the following formula ; ; In the formula, , , Operation and maintenance time efficiency coefficient , Experience Index h and the weight coefficient of operation and maintenance fatigue PL; Operation and maintenance decision value for different target personnel Sort in descending order to obtain an operation and maintenance decision sequence, mark the target personnel corresponding to the first sequence element of the operation and maintenance decision sequence as selected personnel, and arrange the selected personnel to execute the operation and maintenance arrangement.

[0015] The present invention also discloses a transformer operation and maintenance control system, which applies the above-mentioned transformer operation and maintenance control method, and specifically includes: An operation and maintenance plan schedule building module is used to obtain transformer historical data, perform data processing on the transformer historical data, and determine an operation and maintenance plan schedule based on the transformer operation and maintenance type; A form acquisition module is used to obtain the historical operation and maintenance record form of the transformer and determine multiple historical operation and maintenance records of the transformer; The form processing module is used to process the historical operation and maintenance forms, obtain a multidimensional database of operation and maintenance personnel based on the operation and maintenance personnel, perform library processing on the multidimensional database of operation and maintenance personnel, and construct an operation and maintenance recommendation node for each operation and maintenance type based on the operation and maintenance plan schedule; Real-time data processing module, used to obtain real-time data of transformers, process and analyze the real-time data in real time, and determine the objective intervention factors of operation and maintenance recommendation nodes; The data joint analysis module combines the operation and maintenance arrangement with the operation and maintenance plan schedule to perform joint analysis and determine the subjective intervention factors of the operation and maintenance recommended nodes; The decision analysis module is used to construct an operation and maintenance decision node based on the operation and maintenance type according to the operation and maintenance recommendation node, subjective intervention factor and objective intervention factor, and to adjust the operation and maintenance plan schedule based on the operation and maintenance decision node.

[0016] Compared with the prior art, the above technical solution of the present invention has the following beneficial technical effects: (1) By dynamically integrating real-time monitoring of equipment status and historical data analysis, the system introduces quantitative assessment of parameter risk values, calculation of operation and maintenance personnel time efficiency coefficient and experience index, and dynamic adjustment mechanism of operation and maintenance fatigue, thus solving the problems of rigid maintenance cycle and single personnel scheduling in traditional technologies.

[0017] (2) A multi-dimensional decision-making model that combines personnel capabilities and fatigue optimizes the allocation of operation and maintenance tasks, avoids low maintenance efficiency, resource waste, and operational risks caused by over-reliance on fixed cycles or neglect of human factors, and realizes intelligent and personalized operation and maintenance control. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a flow chart of the method of embodiment 1 proposed by the present invention. DETAILED DESCRIPTION

[0019] Embodiment 1, as Figure 1 As shown, a transformer operation and maintenance control method proposed by the present invention comprises the following steps: Obtain historical data of transformers, process the historical data of transformers, and determine the operation and maintenance schedule based on the operation and maintenance type of transformers; The method for processing transformer historical data includes: Obtain the key parameters of different parts of the transformer, establish the key parameter time series of different parts of the transformer according to the historical timestamps, and determine the parameter risk value of the sequence elements in the key parameter time series through the following parameter risk calculation formula ; ; In the formula, is the sequence element in the key parameter time series; c is the sequence element number; is the standard parameter of the transformer, which is obtained based on the safety test of the transformer; is the parameter change threshold; Parameter risk value of the same part of the transformer Perform data analysis, if the parameter risk value If the parameter risk value is not greater than 1, it is marked as a normal parameter; If it is greater than 1, it is marked as an abnormal parameter; Based on the abnormal parameters, the key parameter time series is segmented to obtain several historical parameter time subsequences, the sequence span duration of the historical parameter time subsequences is obtained, the sequence span duration of several key parameter time series is averaged, and the standard operation and maintenance cycle of the transformer part is obtained; According to the standard operation and maintenance cycle of the transformer parts, the operation and maintenance arrangement of each transformer part is taken as an operation and maintenance type, and the operation and maintenance plan schedule based on the operation and maintenance type is obtained; Obtain the transformer's historical operation and maintenance record form, and determine multiple historical operation and maintenance records of the transformer; Perform form processing on historical operation and maintenance forms to obtain a multidimensional database of operation and maintenance personnel based on operation and maintenance personnel, perform library processing on the multidimensional database of operation and maintenance personnel, and construct an operation and maintenance recommendation node for each operation and maintenance type based on the operation and maintenance plan schedule; historical operation and maintenance records include operation and maintenance type, operation and maintenance time information, and operation and maintenance personnel information; Methods for processing historical operation and maintenance forms include: Each historical operation and maintenance record is recorded and processed in turn, and the historical operation and maintenance record is marked as a target record. The operation and maintenance start time and the operation and maintenance end time are determined according to the operation and maintenance time information of the target record, and the operation and maintenance process duration of the operation and maintenance personnel is calculated; Mark the operation and maintenance end time of the target record as the target end time, mark the next historical operation and maintenance record of the target record as the selected record, obtain the operation and maintenance end time of the record and mark it as the selected end time, calculate the operation and maintenance interval duration based on the selected end time and the target end time, and use it as the operation and maintenance maintenance duration of the target record; The processing data of the target record is constructed according to the operation and maintenance personnel, operation and maintenance type, operation and maintenance process duration and operation and maintenance maintenance duration of the target record, and the processing data of each target data is combined to obtain the processing database of the historical operation and maintenance form; Using operation and maintenance personnel as a search term to perform data search in a processing database to obtain search data, and establishing a multidimensional database of operation and maintenance personnel based on the search data matching the operation and maintenance personnel; The method for performing database processing on the multidimensional database of operation and maintenance personnel includes performing a first data evaluation on the multidimensional database of operation and maintenance personnel to determine the operation and maintenance time efficiency coefficient of the operation and maintenance personnel; The first data evaluation applies the following formula: ; In the formula, is the operation and maintenance time efficiency coefficient; The duration of the operation and maintenance process; is the standard process duration, which is calculated based on the average duration of all operation and maintenance processes of this operation and maintenance type; The operation and maintenance interval duration; is the standard operation and maintenance cycle; a is the operation and maintenance type number, a is a positive integer; i is the number of the data processed by the operation and maintenance personnel in the multidimensional database, i∈[1,n], n is a positive integer; k1 and k2 are weight coefficients; A second data evaluation is performed on the multi-dimensional database of operation and maintenance personnel to determine the experience index of the operation and maintenance personnel. The method is as follows: For each processed data, the operation and maintenance interval is compared with the standard operation and maintenance cycle using the comparative feedback model, and the comparative feedback result of the processed data is output. The expression of the comparative feedback model is as follows: ; In the formula, To compare the feedback results; The experience index of the operation and maintenance personnel based on the operation and maintenance type is calculated by the following formula ; ; According to the operation and maintenance time efficiency coefficient of different operation and maintenance personnel and Construct an operation and maintenance recommendation node with operation and maintenance type number a Obtain real-time data of transformers, process and analyze the real-time data in real time, and determine the objective intervention factors of the operation and maintenance recommended nodes; Methods for real-time processing and analysis of real-time data include: According to the real-time timestamp, the key parameter time series of different parts of the transformer are established respectively, and the parameter risk calculation formula is used to calculate the parameter risk value of the sequence elements in the key parameter time series. The parameter risk value is analyzed as follows: Determine whether the parameter analysis value is not greater than 1. If the parameter analysis value is not greater than 1, the standard operation and maintenance cycle is used as the planning cycle; If the parameter analysis value is greater than 1, the parameter change value is compared with the preset risk threshold; If the interval between the most recent operation and maintenance time is not longer than the standard operation and maintenance cycle, the standard operation and maintenance cycle is calculated with the parameter risk value, and the calculated result is used as the planning cycle; If the parameter analysis value is greater than the risk threshold, the preset minimum cycle will be used as the planning cycle; Update the operation and maintenance schedule according to the planning cycle and determine the next operation and maintenance schedule of the operation and maintenance type, mark the next operation and maintenance schedule as the target time, and determine the operation and maintenance waiting period according to the current time and the target time; Obtain the operation and maintenance arrangements of the operation and maintenance personnel, conduct joint analysis based on the operation and maintenance arrangements and the operation and maintenance plan schedule, and determine the subjective intervention factors of the operation and maintenance recommended nodes; Methods for conducting joint analysis of operation and maintenance arrangements and operation and maintenance plan schedules include: Determine whether the operation and maintenance personnel have any operation and maintenance arrangements during the operation and maintenance waiting period. If there are any operation and maintenance arrangements during the operation and maintenance waiting period, calculate the end time of the operation and maintenance arrangements after the operation and maintenance personnel have completed the operation and maintenance arrangements. Determine whether the end time of the operation and maintenance arrangement belongs to the operation and maintenance waiting period. If the end time of the operation and maintenance arrangement belongs to the operation and maintenance waiting period, mark the operation and maintenance personnel as target personnel, and calculate the time interval based on the end time of the operation and maintenance arrangement and the target time, and use it as the waiting rest time; If the end time of the operation and maintenance arrangement does not fall within the operation and maintenance waiting period, the operation and maintenance personnel will not be marked; If the operation and maintenance personnel do not have any operation and maintenance arrangements during the operation and maintenance waiting period, the operation and maintenance personnel will be marked as target personnel; Establish a historical intervention period based on the current time, and perform the following operations on all historical operation and maintenance records in the historical operation and maintenance form: Determine the historical operation and maintenance period according to the operation and maintenance start time and the operation and maintenance end time, compare the historical operation and maintenance period with the historical intervention period, obtain the overlapping period between the historical operation and maintenance period and calculate the corresponding overlapping duration; Obtain each historical operation and maintenance period of the target personnel and the corresponding overlapping duration, sort the historical operation and maintenance periods in chronological order based on the operation and maintenance end time corresponding to the historical operation and maintenance periods, obtain the historical operation and maintenance period sequence, mark the last sequence element of the historical operation and maintenance period sequence as the key element, obtain the operation and maintenance end time of the target element and mark it as the key end time; The interval duration is calculated based on the current time and the critical end time, and the calculation result is used as the intervention rest time of the operation and maintenance personnel; The operation and maintenance fatigue PL of the operation and maintenance personnel is calculated by the following formula; ; In the formula, is the overlap duration; j is the overlap period number; GT is the intervention period duration; DX is the waiting rest duration; GX is the intervention rest duration; h1 and h2 are weight coefficients; d is a constant; The operation and maintenance fatigue PL is used as a subjective intervention factor; Construct an operation and maintenance decision node based on the operation and maintenance type according to the operation and maintenance recommendation node, subjective intervention factor and objective intervention factor, and adjust the operation and maintenance plan schedule based on the operation and maintenance decision node; The method for constructing an operation and maintenance decision node based on the operation and maintenance type is: Obtain the operation and maintenance time efficiency coefficient of the target personnel , Experience Index and the operation and maintenance fatigue PL, the operation and maintenance decision value of the target personnel for the operation and maintenance arrangement with the operation and maintenance type number a is calculated by the following formula ; ; In the formula, , , Operation and maintenance time efficiency coefficient , Experience Index h and the weight coefficient of operation and maintenance fatigue PL; Operation and maintenance decision value for different target personnel Sort in descending order to obtain an operation and maintenance decision sequence, mark the target personnel corresponding to the first sequence element of the operation and maintenance decision sequence as selected personnel, and arrange the selected personnel to execute the operation and maintenance arrangement.

[0020] Embodiment 2, a transformer operation and maintenance control system proposed by the present invention, which is applied to a transformer operation and maintenance control method proposed in embodiment 1, specifically includes: An operation and maintenance plan schedule building module is used to obtain transformer historical data, perform data processing on the transformer historical data, and determine an operation and maintenance plan schedule based on the transformer operation and maintenance type; A form acquisition module is used to obtain the historical operation and maintenance record form of the transformer and determine multiple historical operation and maintenance records of the transformer; The form processing module is used to process the historical operation and maintenance forms, obtain a multidimensional database of operation and maintenance personnel based on the operation and maintenance personnel, perform library processing on the multidimensional database of operation and maintenance personnel, and construct an operation and maintenance recommendation node for each operation and maintenance type based on the operation and maintenance plan schedule; Real-time data processing module, used to obtain real-time data of transformers, process and analyze the real-time data in real time, and determine the objective intervention factors of operation and maintenance recommendation nodes; The data joint analysis module combines the operation and maintenance arrangement with the operation and maintenance plan schedule to perform joint analysis and determine the subjective intervention factors of the operation and maintenance recommended nodes; The decision analysis module is used to construct an operation and maintenance decision node based on the operation and maintenance type according to the operation and maintenance recommendation node, subjective intervention factor and objective intervention factor, and to adjust the operation and maintenance plan schedule based on the operation and maintenance decision node.

[0021] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited thereto, and various changes can be made within the knowledge scope of technicians in the relevant technical field without departing from the purpose of the present invention.

Claims

1. A transformer operation and maintenance control method, characterized in that: The following steps are involved: Obtain historical data of transformers, process the historical data of transformers, and determine the operation and maintenance schedule based on the operation and maintenance type of transformers; Obtain the transformer's historical operation and maintenance record form, and determine multiple historical operation and maintenance records of the transformer; Perform form processing on historical operation and maintenance forms to obtain a multidimensional database of operation and maintenance personnel based on operation and maintenance personnel, perform library processing on the multidimensional database of operation and maintenance personnel, and construct an operation and maintenance recommendation node for each operation and maintenance type based on the operation and maintenance plan schedule; Obtain real-time data of transformers, process and analyze the real-time data in real time, and determine the objective intervention factors of the operation and maintenance recommended nodes; Obtain the operation and maintenance arrangements of the operation and maintenance personnel, conduct joint analysis based on the operation and maintenance arrangements and the operation and maintenance plan schedule, and determine the subjective intervention factors of the operation and maintenance recommended nodes; According to the operation and maintenance recommendation nodes, subjective intervention factors and objective intervention factors, an operation and maintenance decision node based on the operation and maintenance type is constructed, and the operation and maintenance plan schedule is adjusted based on the operation and maintenance decision node.

2. A transformer operation and maintenance control method according to claim 1, characterized in that: The method for processing transformer historical data includes: Obtain the key parameters of different parts of the transformer, establish the key parameter time series of different parts of the transformer according to the historical timestamps, and determine the parameter risk value of the sequence elements in the key parameter time series through the following parameter risk calculation formula ; ； In the formula, is the sequence element in the key parameter time series; c is the sequence element number; is the standard parameter of the transformer, which is obtained based on the safety test of the transformer; is the parameter change threshold; Parameter risk value of the same part of the transformer Perform data analysis, if the parameter risk value If the parameter risk value is not greater than 1, it is marked as a normal parameter; If it is greater than 1, it is marked as an abnormal parameter; Based on the abnormal parameters, the key parameter time series is segmented to obtain several historical parameter time subsequences, the sequence span duration of the historical parameter time subsequences is obtained, the sequence span duration of several key parameter time series is averaged, and the standard operation and maintenance cycle of the transformer part is obtained; Operation and maintenance arrangements are made according to the standard operation and maintenance cycles of the transformer parts respectively, and the operation and maintenance arrangements of each transformer part are taken as an operation and maintenance type to obtain an operation and maintenance plan schedule based on the operation and maintenance type.

3. A transformer operation and maintenance control method according to claim 2, characterized in that: Historical operation and maintenance records include operation and maintenance type, operation and maintenance time information, and operation and maintenance personnel information; Methods for processing historical operation and maintenance forms include: Record and process each historical operation and maintenance record in turn, mark the historical operation and maintenance record as the target record, determine the operation and maintenance start time and operation and maintenance end time according to the operation and maintenance time information of the target record, and calculate the operation and maintenance process duration of the operation and maintenance personnel; Mark the operation and maintenance end time of the target record as the target end time, mark the next historical operation and maintenance record of the target record as the selected record, obtain the operation and maintenance end time of the record and mark it as the selected end time, calculate the operation and maintenance interval duration based on the selected end time and the target end time, and use it as the operation and maintenance maintenance duration of the target record; The processing data of the target record is constructed according to the operation and maintenance personnel, operation and maintenance type, operation and maintenance process duration and operation and maintenance maintenance duration of the target record, and the processing data of each target data is combined to obtain the processing database of the historical operation and maintenance form; The operation and maintenance personnel are used as search terms to perform data search in the processing database to obtain search data, and a multidimensional database of operation and maintenance personnel is established according to the search data matching the operation and maintenance personnel.

4. A transformer operation and maintenance control method according to claim 3, characterized in that: The method for performing database processing on the multidimensional database of operation and maintenance personnel includes performing a first data evaluation on the multidimensional database of operation and maintenance personnel to determine the operation and maintenance time efficiency coefficient of the operation and maintenance personnel; The first data evaluation applies the following formula: ； In the formula, is the operation and maintenance time efficiency coefficient; The duration of the operation and maintenance process; is the standard process duration, which is calculated based on the average duration of all operation and maintenance processes of this operation and maintenance type; The operation and maintenance interval duration; is the standard operation and maintenance cycle; a is the operation and maintenance type number, a is a positive integer; i is the number of the operation and maintenance personnel processing data in the multidimensional database, i∈[1,n], n is a positive integer; k1 and k2 are weight coefficients.

5. A transformer operation and maintenance control method according to claim 4, characterized in that: The method for performing database processing on the multidimensional database of operation and maintenance personnel also includes performing a second data evaluation on the multidimensional database of operation and maintenance personnel to determine the experience index of the operation and maintenance personnel, and the method is as follows: For each processed data, the operation and maintenance interval is compared with the standard operation and maintenance cycle using the comparative feedback model, and the comparative feedback result of the processed data is output. The expression of the comparative feedback model is as follows: ； In the formula, To compare the feedback results; The experience index of the operation and maintenance personnel based on the operation and maintenance type is calculated by the following formula ; ； According to the operation and maintenance time efficiency coefficient of different operation and maintenance personnel and Construct an operation and maintenance recommendation node of the operation and maintenance type numbered a.

6. A transformer operation and maintenance control method according to claim 5, characterized in that: Methods for real-time processing and analysis of real-time data include: According to the real-time timestamp, the key parameter time series of different parts of the transformer are established respectively, and the parameter risk calculation formula is used to calculate the parameter risk value of the sequence elements in the key parameter time series. The parameter risk value is analyzed as follows: Determine whether the parameter analysis value is not greater than 1. If the parameter analysis value is not greater than 1, the standard operation and maintenance cycle is used as the planning cycle; If the parameter analysis value is greater than 1, the parameter change value is compared with the preset risk threshold; If the interval between the most recent maintenance and operation times is not longer than the standard maintenance and operation cycle, the standard maintenance and operation cycle is calculated with the parameter risk value, and the calculated result is used as the planning cycle; If the parameter analysis value is greater than the risk threshold, the preset minimum cycle will be used as the planning cycle; The operation and maintenance plan schedule is updated according to the planning cycle and the next operation and maintenance schedule of the operation and maintenance type is determined, the next operation and maintenance schedule time is marked as the target time, and the operation and maintenance waiting period is determined according to the current time and the target time.

7. A transformer operation and maintenance control method according to claim 6, characterized in that: Methods for conducting joint analysis of operation and maintenance arrangements and operation and maintenance plan schedules include: Determine whether the operation and maintenance personnel have any operation and maintenance arrangements during the operation and maintenance waiting period. If there are any operation and maintenance arrangements during the operation and maintenance waiting period, calculate the end time of the operation and maintenance arrangements after the operation and maintenance personnel have completed the operation and maintenance arrangements. Determine whether the end time of the operation and maintenance arrangement belongs to the operation and maintenance waiting period. If the end time of the operation and maintenance arrangement belongs to the operation and maintenance waiting period, mark the operation and maintenance personnel as target personnel, and calculate the time interval based on the end time of the operation and maintenance arrangement and the target time, and use it as the waiting rest time; If the end time of the operation and maintenance arrangement does not fall within the operation and maintenance waiting period, the operation and maintenance personnel will not be marked; If the operation and maintenance personnel have no operation and maintenance arrangements during the operation and maintenance waiting period, the operation and maintenance personnel will be marked as target personnel.

8. A transformer operation and maintenance control method according to claim 7, characterized in that: Establish a historical intervention period based on the current time, and perform the following operations on all historical operation and maintenance records in the historical operation and maintenance form: Determine the historical operation and maintenance period according to the operation and maintenance start time and the operation and maintenance end time, compare the historical operation and maintenance period with the historical intervention period, obtain the overlapping period between the historical operation and maintenance period and calculate the corresponding overlapping duration; Obtain each historical operation and maintenance period of the target personnel and the corresponding overlapping duration, sort the historical operation and maintenance periods in chronological order based on the operation and maintenance end time corresponding to the historical operation and maintenance periods, obtain the historical operation and maintenance period sequence, mark the last sequence element of the historical operation and maintenance period sequence as the key element, obtain the operation and maintenance end time of the target element and mark it as the key end time; The interval duration is calculated based on the current time and the critical end time, and the calculation result is used as the intervention rest time of the operation and maintenance personnel; The operation and maintenance fatigue PL of the operation and maintenance personnel is calculated by the following formula; ； In the formula, is the overlap duration; j is the overlap period number; GT is the intervention period duration; DX is the waiting rest duration; GX is the intervention rest duration; h1 and h2 are weight coefficients; d is a constant; The operation and maintenance fatigue PL is used as a subjective intervention factor.

9. A transformer operation and maintenance control method according to claim 8, characterized in that: The method for constructing an operation and maintenance decision node based on the operation and maintenance type is: Obtain the operation and maintenance time efficiency coefficient of the target personnel , Experience Index and the operation and maintenance fatigue PL, the operation and maintenance decision value of the target personnel for the operation and maintenance arrangement with the operation and maintenance type number a is calculated by the following formula ; ； In the formula, , , Operation and maintenance time efficiency coefficient , Experience Index h and the weight coefficient of operation and maintenance fatigue PL; Operation and maintenance decision value for different target personnel Sort in descending order to obtain an operation and maintenance decision sequence, mark the target personnel corresponding to the first sequence element of the operation and maintenance decision sequence as selected personnel, and arrange the selected personnel to execute the operation and maintenance arrangement.

10. A transformer operation and maintenance control system, applied to a transformer operation and maintenance control method as claimed in any one of claims 1 to 9, characterized in that: Specifically include: An operation and maintenance plan schedule building module is used to obtain transformer historical data, perform data processing on the transformer historical data, and determine an operation and maintenance plan schedule based on the transformer operation and maintenance type; A form acquisition module is used to obtain the historical operation and maintenance record form of the transformer and determine multiple historical operation and maintenance records of the transformer; The form processing module is used to process the historical operation and maintenance forms, obtain a multidimensional database of operation and maintenance personnel based on the operation and maintenance personnel, perform library processing on the multidimensional database of operation and maintenance personnel, and construct an operation and maintenance recommendation node for each operation and maintenance type based on the operation and maintenance plan schedule; Real-time data processing module, used to obtain real-time data of transformers, process and analyze the real-time data in real time, and determine the objective intervention factors of operation and maintenance recommendation nodes; The data joint analysis module combines the operation and maintenance arrangement with the operation and maintenance plan schedule to perform joint analysis and determine the subjective intervention factors of the operation and maintenance recommended nodes; The decision analysis module is used to construct an operation and maintenance decision node based on the operation and maintenance type according to the operation and maintenance recommendation node, subjective intervention factor and objective intervention factor, and to adjust the operation and maintenance plan schedule based on the operation and maintenance decision node.

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