CN117949886A - Intelligent regulation and control method and system for transformer calibrator, electronic equipment and storage medium - Google Patents
Intelligent regulation and control method and system for transformer calibrator, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention relates to the technical field of transformer verification, in particular to an intelligent regulation and control method, an intelligent regulation and control system, electronic equipment and a storage medium of a transformer calibrator, which can better optimize a scheduling scheme, improve the utilization efficiency of the transformer calibrator and are beneficial to realizing more efficient, accurate and intelligent transformer verification work; the method comprises the following steps: acquiring information of transformer equipment in a regulation area and setting the longest verification time interval of the transformer equipment; the transformer equipment information comprises the geographical position of the transformer equipment, a verification log of the transformer equipment and the specification of the transformer equipment; determining a regulation time window, extracting the transformer equipment to be verified in the regulation time window according to the verification log of the transformer equipment and the longest verification time interval of the transformer equipment, and generating a transformer equipment set to be verified; and acquiring the transformer calibrator without a calibration plan in the regulation time window, and generating a transformer calibrator set to be used.
Description
Technical Field
The invention relates to the technical field of transformer verification, in particular to an intelligent regulation and control method, an intelligent regulation and control system, electronic equipment and a storage medium for a transformer calibrator.
Background
Along with the continuous development of the power industry, the application of the transformer in a power system is more and more extensive; the transformer is an important measurement device in the power system, and the accuracy of the transformer directly influences the normal operation and power metering of the power system; therefore, the verification work of the transformer is an important link of the maintenance of the power system; however, the verification of the transformer requires the use of transformer verifiers, which are limited in number and distributed in different areas; how to reasonably distribute and schedule the transformer calibrator, and improve the utilization rate and the calibration efficiency of the transformer calibrator is a current problem to be solved urgently.
The existing transformer calibrator dispatching method is mostly based on manual experience and simple time sequence, lacks intelligent dispatching means, and cannot be dynamically adjusted according to actual conditions; meanwhile, the contribution degree of the transformer in the electric power metering operation is not fully considered in the existing scheduling method, so that some key transformer equipment cannot be checked in time, and the normal operation and electric power metering of an electric power system are affected.
Disclosure of Invention
In order to solve the technical problems, the intelligent regulation and control method of the transformer calibrator, which can better optimize the scheduling scheme, improve the utilization efficiency of the transformer calibrator and help to realize more efficient, accurate and intelligent transformer calibration work, is provided.
In a first aspect, the invention provides an intelligent regulation and control method for a transformer calibrator, which comprises the following steps:
acquiring information of transformer equipment in a regulation area and setting the longest verification time interval of the transformer equipment; the mutual inductor equipment information comprises the geographic position of the mutual inductor equipment, a verification log of the mutual inductor equipment and the specification of the mutual inductor equipment;
Determining a regulation time window, extracting the transformer equipment to be verified in the regulation time window according to the verification log of the transformer equipment and the longest verification time interval of the transformer equipment, and generating a transformer equipment set to be verified;
acquiring a transformer calibrator without a calibration plan in a regulation time window, and generating a transformer calibrator set to be used;
According to the contribution degree of each transformer device in the electric power metering operation, sequencing the transformer devices in the transformer device set to be checked to obtain a transformer device sequence to be checked;
Aiming at the transformer equipment with the highest contribution degree in the transformer equipment sequence to be checked, calculating the regulation index corresponding to each transformer calibrator in the transformer calibrator set to be used;
Matching the transformer calibrator with the highest regulation index as a transformer calibrator of the transformer equipment in a regulation time window, deleting the transformer calibrator from a set of transformer calibrators to be used, and deleting the transformer equipment from a sequence of the transformer equipment to be calibrated;
repeating the calculation, matching and deleting processes until each transformer device in the set of transformer devices to be checked is matched with a unique transformer calibrator.
Further, the method for generating the set of to-be-used transformer checkmeters comprises the following steps:
establishing a transformer calibrator database, wherein the transformer calibrator database comprises the model, the state, the geographic position and a calibration history of each transformer calibrator;
Inquiring a database of the transformer calibrator in a regulation time window, acquiring calibration plans and states of all transformer calibrator in the regulation time window, and identifying transformer calibrator without calibration plans in the regulation time window;
And incorporating the transformer calibrator determined to be a calibration-free plan into a set of transformer calibrators to be used.
Further, the method for obtaining the sequence of the mutual inductor equipment to be verified comprises the following steps:
Collecting historical operational data of the transformer device, including current, voltage and power; collecting verification data of the transformer equipment, including a verification result, verification time and verification personnel; collecting power metering operation data of the transformer equipment, including power metering and load monitoring;
Determining evaluation indexes of contribution degree of transformer equipment, including current fluctuation sensitivity and voltage stability;
according to the determined evaluation index, quantifying the contribution degree of the transformer equipment by using a mathematical model;
selecting a machine learning model for contribution evaluation, and training the machine learning model by utilizing collected historical operation data to obtain a contribution evaluation model;
determining the basis of sorting according to the evaluation result of the contribution evaluation model, sorting the mutual inductor equipment, and generating a mutual inductor equipment sequence to be checked.
Further, a method of calculating a regulatory index comprising:
determining the technical requirements of the transformer equipment to be checked, collecting the technical parameters of each transformer calibrator to be used, and calculating the technical matching degree score by comparing the technical requirements of the transformer equipment to be checked with the technical parameters of each calibrator;
evaluating the performance of each transformer calibrator, including calibration speed and degree of automation;
Determining the geographic position of each transformer calibrator and transformer equipment, and calculating the distance between the calibrator and the transformer equipment to be calibrated;
Determining the weight of the matching degree score, the performance and the distance, and carrying out normalization processing on the matching degree score, the performance and the distance;
and multiplying the normalized score, performance and distance with the corresponding weights respectively and adding the products to obtain the regulation and control index.
Further, a method of matching a unique transformer calibrator for each transformer device in a set of transformer devices to be calibrated, comprising:
checking whether the set of the mutual inductor devices to be checked is empty, if so, indicating that all the mutual inductor devices are successfully matched with the mutual inductor check meter, and ending the regulation and control process at the moment;
If the set of the mutual inductor equipment to be checked is not empty, calculating the regulation and control index again and completing the matching of the mutual inductor check meter and the mutual inductor equipment; after the matching is completed, deleting the matched transformer calibrator from the transformer calibrator set to be used, and deleting the matched transformer equipment from the transformer equipment sequence to be calibrated; until the set of transformer devices to be verified is empty.
Further, the geographic position of the transformer equipment is obtained through a GPS (global positioning system) position locating technology; the verification log of the transformer equipment comprises the last verification time, the verification result and the time required by verification; the specifications of the transformer equipment comprise the model, specification and technical parameters of the transformer; the longest verification time interval of the transformer equipment is set according to the specification of the transformer equipment.
Further, the regulation time window refers to a time period for performing verification scheduling of the transformer equipment; and the regulation time window is determined according to the historical verification data of the transformer equipment and the load condition of the power system.
On the other hand, the application also provides an intelligent regulation and control system of the transformer calibrator, which comprises the following components:
the information acquisition module is used for acquiring the information of the transformer equipment in the regulation and control area and the set longest verification time interval of the transformer equipment; the transformer equipment information comprises the geographical position of the transformer equipment, a verification log of the transformer equipment and the specification of the transformer equipment;
The regulation time window determining module is used for determining a regulation time window, extracting the transformer equipment to be verified in the regulation time window by utilizing the verification log of the transformer equipment and the longest verification time interval of the transformer equipment, and generating a transformer equipment set to be verified;
The transformer calibrator set acquisition module is used for acquiring transformer calibrator without calibration plan in the regulation time window and generating transformer calibrator set to be used;
the sequencing module is used for sequencing the transformer equipment in the transformer equipment set to be checked according to the contribution degree of each transformer equipment in the electric power metering operation to obtain a transformer equipment sequence to be checked;
The regulation and control index calculation module is used for calculating the regulation and control index corresponding to each transformer calibrator in the transformer calibrator set to be used aiming at the transformer equipment with the highest contribution degree in the transformer equipment sequence to be calibrated;
The matching and deleting module is used for matching the transformer calibrator with the highest regulation index into a transformer calibrator of the transformer equipment in a regulation time window, deleting the transformer calibrator from a set of transformer calibrator to be used, and deleting the transformer equipment from a sequence of transformer equipment to be verified;
And the circulation module is used for repeating the regulation index calculation, matching and deletion processes until each transformer device in the transformer device set to be checked is matched with a unique transformer calibrator.
Further, the method for generating the set of the transformer calibrator to be used by utilizing the set acquisition module of the transformer calibrator comprises the following steps:
establishing a transformer calibrator database, wherein the transformer calibrator database comprises the model, the state, the geographic position and a calibration history of each transformer calibrator;
Inquiring a database of the transformer calibrator in a regulation time window, acquiring calibration plans and states of all transformer calibrator in the regulation time window, and identifying transformer calibrator without calibration plans in the regulation time window;
And incorporating the transformer calibrator determined to be a calibration-free plan into a set of transformer calibrators to be used.
Further, the method for obtaining the sequence of the mutual inductor equipment to be verified by using the sequencing module comprises the following steps:
Collecting historical operational data of the transformer device, including current, voltage and power; collecting verification data of the transformer equipment, including a verification result, verification time and verification personnel; collecting power metering operation data of the transformer equipment, including power metering and load monitoring;
Determining evaluation indexes of contribution degree of transformer equipment, including current fluctuation sensitivity and voltage stability;
according to the determined evaluation index, quantifying the contribution degree of the transformer equipment by using a mathematical model;
selecting a machine learning model for contribution evaluation, and training the machine learning model by utilizing collected historical operation data to obtain a contribution evaluation model;
determining the basis of sorting according to the evaluation result of the contribution evaluation model, sorting the mutual inductor equipment, and generating a mutual inductor equipment sequence to be checked.
Further, a method for calculating a regulatory index using a regulatory index calculation module includes:
determining the technical requirements of the transformer equipment to be checked, collecting the technical parameters of each transformer calibrator to be used, and calculating the technical matching degree score by comparing the technical requirements of the transformer equipment to be checked with the technical parameters of each calibrator;
evaluating the performance of each transformer calibrator, including calibration speed and degree of automation;
Determining the geographic position of each transformer calibrator and transformer equipment, and calculating the distance between the calibrator and the transformer equipment to be calibrated;
Determining the weight of the matching degree score, the performance and the distance, and carrying out normalization processing on the matching degree score, the performance and the distance;
and multiplying the normalized score, performance and distance with the corresponding weights respectively and adding the products to obtain the regulation and control index.
Further, a method for matching a unique transformer calibrator for each transformer device in a set of transformer devices to be calibrated using a cyclic module, comprising:
checking whether the set of the mutual inductor devices to be checked is empty, if so, indicating that all the mutual inductor devices are successfully matched with the mutual inductor check meter, and ending the regulation and control process at the moment;
If the set of the mutual inductor equipment to be checked is not empty, calculating the regulation and control index again and completing the matching of the mutual inductor check meter and the mutual inductor equipment; after the matching is completed, deleting the matched transformer calibrator from the transformer calibrator set to be used, and deleting the matched transformer equipment from the transformer equipment sequence to be calibrated; until the set of transformer devices to be verified is empty.
Further, in the information acquisition module, the geographic position of the transformer equipment is acquired through a GPS (global positioning system) position positioning technology; the verification log of the transformer equipment comprises the last verification time, the verification result and the time required by verification; the specifications of the transformer equipment comprise the model, specification and technical parameters of the transformer; the longest verification time interval of the transformer equipment is set according to the specification of the transformer equipment.
Further, in the regulation time window determining module, the regulation time window refers to a time period for performing verification scheduling of the transformer equipment; and the regulation time window is determined according to the historical verification data of the transformer equipment and the load condition of the power system.
In a third aspect, the present application provides an electronic device comprising a bus, a transceiver, a memory, a processor and a computer program stored on the memory and executable on the processor, the transceiver, the memory and the processor being connected by the bus, the computer program when executed by the processor implementing the steps of any of the methods described above.
In a fourth aspect, the application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of any of the methods described above.
Compared with the prior art, the invention has the beneficial effects that:
According to the invention, by utilizing a Beidou time-frequency synchronization technology, intelligent scheduling of the transformer calibrator is realized by acquiring information such as the geographical position, the calibration log, the specification and the like of the transformer equipment; the scheduling process is more automatic and intelligent, does not depend on manual experience, and can better adapt to the dynamic change requirement of the power system;
According to the invention, a regulation time window is dynamically determined according to actual conditions, and the transformer equipment to be checked is extracted according to the check log and the longest check time interval of the transformer equipment; the dynamic adjustment can be more flexibly adapted to the mutual inductor verification requirements of different areas and different time periods, and the scheduling flexibility and adaptability are improved;
In the power metering operation, the contribution degree of different transformer devices to the power system is different; the traditional scheduling method does not fully consider the point, so that some key transformer devices cannot be checked in time; according to the invention, the mutual inductor devices with the highest contribution degree to the electric power metering operation can be preferentially processed according to the contribution degree of each mutual inductor device in the electric power metering operation, so that the regulation and control are more refined, and the actual requirements can be better met;
The traditional scheduling method often causes idling and waste of the transformer calibrator, so that the utilization rate of the transformer calibrator is low; the adjustment and control indexes of the transformer calibrator are calculated, so that the matching of each transformer calibrator and the transformer equipment to be calibrated is more scientific and reasonable; the matching mode can better optimize the scheduling scheme and improve the utilization efficiency of the transformer calibrator;
The real-time regulation and control can be realized by acquiring the information of the mutual inductor equipment and the service condition of the mutual inductor calibrator in the regulation and control area in real time, the real-time property and the effectiveness of the regulation and control are ensured, the problems can be found and solved in time, and the negative influence on the power system is reduced;
in summary, the method effectively solves the problem in the dispatching of the transformer calibrator through means of intellectualization, refinement, automation, high efficiency and real-time; the invention not only can improve the working efficiency and the accuracy and reliability of data, but also is beneficial to realizing more efficient, accurate and intelligent transformer verification work.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a flow chart of generating a set of transformer devices to be verified;
FIG. 3 is a flow chart of generating a set of instrument transformers to be used;
fig. 4 is a block diagram of an intelligent regulation and control system of a transformer calibrator.
Detailed Description
In the description of the present application, those skilled in the art will appreciate that the present application may be embodied as methods, apparatus, electronic devices, and computer-readable storage media. Accordingly, the present application may be embodied in the following forms: complete hardware, complete software (including firmware, resident software, micro-code, etc.), a combination of hardware and software. Furthermore, in some embodiments, the application may also be embodied in the form of a computer program product in one or more computer-readable storage media, which contain computer program code.
Any combination of one or more computer-readable storage media may be employed by the computer-readable storage media described above. The computer-readable storage medium includes: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of the computer readable storage medium include the following: portable computer magnetic disks, hard disks, random access memories, read-only memories, erasable programmable read-only memories, flash memories, optical fibers, optical disk read-only memories, optical storage devices, magnetic storage devices, or any combination thereof. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, device.
The technical scheme of the application obtains, stores, uses, processes and the like the data, which all meet the relevant regulations of national laws.
The application provides a method, a device and electronic equipment through flow charts and/or block diagrams.
It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions. These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
These computer readable program instructions may also be stored in a computer readable storage medium that can cause a computer or other programmable data processing apparatus to function in a particular manner. Thus, instructions stored in a computer-readable storage medium produce an instruction means which implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
The present application will be described below with reference to the drawings in the present application.
Embodiment one: as shown in fig. 1, the intelligent regulation and control method of the transformer calibrator specifically comprises the following steps:
S1, acquiring information of transformer equipment in a regulation area and setting a longest verification time interval of the transformer equipment; the mutual inductor equipment information comprises the geographic position of the mutual inductor equipment, a verification log of the mutual inductor equipment and the specification of the mutual inductor equipment;
In step S1, obtaining information of the transformer equipment in the regulation area and a set longest verification time interval of the transformer equipment are key steps for ensuring the validity and accuracy of the intelligent regulation method; this step involves a number of key aspects including data collection, information processing, and system setup, among others; the accuracy and the integrity of the step S1 are critical to the subsequent regulation and control process; the method specifically comprises the following steps:
S11, collecting information of mutual inductor equipment: the acquisition of geographical location information includes locating the precise geographical location of each transformer device, typically using GPS location technology; the verification log of the transformer equipment is a past verification record, and comprises the last verification time, the verification result, the time required by verification and the like; the specification of the transformer equipment comprises detailed information such as the model, specification, technical parameters and the like of the transformer;
S12, setting the longest verification time interval of the transformer equipment: according to the relevant standard or regulation, setting the longest verification time interval of the transformer equipment with different types or specifications; this generally takes into account factors such as the accuracy of the device, the operating environment, manufacturing criteria, etc.;
s13, data processing and management: integrating and banking the collected various information so that the system can effectively access and utilize the data; ensuring accuracy and consistency of data may involve work of clearing duplicates, handling abnormal data, etc.;
S14, system setting and parameter determination: determining the checking range and the regional range of the transformer so as to carry out scheduling and distribution; the longest verification time interval of each device is set according to the type, importance and industry standard of the transformer device.
In summary, step S1 plays a vital role in the intelligent regulation and control method of the transformer calibrator, and by accurately acquiring the information of the transformer equipment and setting the longest verification time interval of the transformer, the system can provide necessary data support for subsequent intelligent regulation and control, so that reasonable allocation and scheduling of the transformer calibrator are realized, and the utilization rate and verification efficiency of the transformer calibrator in a power system are improved.
S2, determining a regulation time window, extracting the transformer equipment to be verified in the regulation time window according to a verification log of the transformer equipment and the longest verification time interval of the transformer equipment, and generating a transformer equipment set to be verified;
As shown in fig. 2, step S2 is a key step of the designed intelligent regulation and control method, and mainly relates to how to extract the transformer equipment to be verified according to the verification log of the transformer equipment and the longest verification time interval of the transformer equipment in a given regulation and control time window, so as to generate a transformer equipment set to be verified; the method specifically comprises the following substeps:
S21, a regulation time window refers to a time period for checking and scheduling the transformer in a certain time range; the selection of the time window needs to comprehensively consider the factors such as the running condition of the power system, the availability of a transformer calibrator, the calibration period of transformer equipment and the like; the optimal regulation time window can be determined according to the historical verification data, the load condition of the power system and the like;
S22, the verification log of the transformer equipment records the verification history of each transformer equipment, wherein the verification history comprises the time of the last verification, the verification result and the like; the time of each transformer device from the last verification can be obtained by analyzing the verification log of the transformer device, so that whether the verification is required in the current regulation time window is judged;
S23, checking the transformer with a longest checking time interval, namely, checking twice cannot be too long; this is to ensure the accuracy and effectiveness of the transformer; when extracting the set of the mutual inductor devices to be checked, the checking period of each mutual inductor device needs to be considered, so that one-time check is ensured in the longest checking time interval;
S24, comprehensively considering the information, and extracting the transformer equipment which needs to be checked in the current regulation time window according to the regulation time window, the check log of the transformer equipment and the longest check time interval, so as to generate a set of the transformer equipment to be checked, wherein the set of the transformer equipment to be checked comprises detailed information of the transformer equipment which needs to be checked in the current time window.
In the step, an intelligent method is adopted to determine the set of the mutual inductor equipment to be checked, instead of the traditional manual experience or simple time sequence; the method can dynamically adjust according to the actual verification requirement of the transformer and the actual condition of the calibrator, and improves the dispatching efficiency; the data of the verification log of the transformer equipment is fully utilized, and the verification requirement of the transformer can be more accurately judged by analyzing the data, so that subjectivity and inaccuracy of manual judgment are avoided; not only the time of the last verification of the current distance of the transformer equipment is considered, but also the longest verification time interval of the transformer is considered; therefore, the transformer can be ensured to be checked in a proper period, and the accuracy and the effectiveness of the transformer are ensured.
S3, obtaining a transformer calibrator without a calibration plan in a regulation time window, and generating a transformer calibrator set to be used;
As shown in fig. 3, step S3 is a step of acquiring the transformer calibrator without a calibration plan in the regulation time window, and generating a set of transformer calibrator to be used; in the field of transformer verification, a plurality of key factors are generally considered in the step, including the availability of a verification instrument, the distance from transformer equipment, the technical specification of the equipment and the like; the following is a detailed description of step S3:
S31, acquiring information of a transformer calibrator: establishing a comprehensive transformer calibrator database, wherein the comprehensive transformer calibrator database contains relevant information of each transformer calibrator, such as the model, state, geographic position, calibration history record and the like of the transformer calibrator; this may be achieved by a real-time monitoring system, database query, or other information management means;
S32, determining the state of a transformer calibrator in a regulation time window: inquiring a database of the transformer calibrator in a regulation time window, and acquiring calibration plans and states of all transformer calibrator in the regulation time window; identifying those transformer checkmeters that have no verification plan within the time window, i.e., devices that are not assigned to a particular transformer verification task;
S33, generating a set of to-be-used transformer checkmeters: incorporating the transformer calibrator determined to be a calibration-free plan in step S32 into a set of transformer calibrators to be used; this set will be used as a candidate pool for the subsequent matching process to ensure that the unassigned transformer calibrator is selected to meet the calibration requirements of the transformer equipment to be calibrated;
S34, considering the state and the position of the transformer calibrator: when generating the set of the transformer calibrator to be used, the current state of the transformer calibrator should also be considered to ensure that the selected equipment is in a usable state; at the same time, their geographical position is taken into account in order to better match the transformer apparatus to be checked in a subsequent step.
Through the steps, the set of the transformer calibrator to be used can be generated, wherein the set of the transformer calibrator to be used comprises information of the transformer calibrator which has no calibration plan in a regulation time window and meets other conditions; this set will be used for subsequent matching and scheduling processes; step S3, the availability information of the transformer calibrator can be dynamically adjusted according to actual conditions, and the instantaneity and accuracy of a dispatching system are improved; the transformer calibrator is reasonably distributed and scheduled, and the utilization rate and the calibration efficiency of the transformer calibrator are improved; meanwhile, the degree of manual intervention can be reduced through an automatic and intelligent processing mode, and the working efficiency and accuracy are improved.
S4, sorting the transformer devices in the transformer device set to be verified according to the contribution degree of each transformer device in the electric power metering operation, and obtaining a transformer device sequence to be verified;
In step S4, sorting the transformer devices in the transformer device set to be verified according to the contribution degree of each transformer device in the electric power metering operation, and generating a transformer device sequence to be verified; the purpose of this step is to preferentially process the transformer equipment which has a large contribution to the power metering operation, so as to ensure that the transformer equipment is checked in time, thereby ensuring the normal operation of the power system and the accuracy of power metering; specifically, the method can be realized by the following steps:
S41, data collection: extracting historical operation data of the transformer equipment from a power system database, wherein the historical operation data comprise parameters such as current, voltage, power and the like, and the data are used for analyzing the performance and behavior modes of the transformer equipment; collecting verification data of the transformer equipment, including information such as a verification result, verification time, verification personnel and the like, wherein the data are used for evaluating the accuracy and reliability of the transformer equipment; acquiring power metering operation data related to the transformer equipment, including electric quantity metering, load monitoring and the like, wherein the data are used for analyzing the actual effect and influence of the transformer equipment in the power metering operation;
S42, establishing a contribution degree evaluation model: according to actual requirements and characteristics of the power system, determining indexes for evaluating contribution degree of transformer equipment, such as current fluctuation sensitivity, voltage stability and the like; according to the determined evaluation index, establishing a mathematical model to quantify the contribution degree of the transformer equipment, which relates to knowledge in the fields of statistical analysis, mathematical modeling and the like; verifying the established model to ensure that the contribution degree of the transformer equipment can be accurately estimated, and carrying out necessary adjustment and optimization on the model according to a verification result;
S43, application of machine learning: according to the characteristics of data and the problem demands, selecting a proper machine learning algorithm to evaluate the contribution degree, wherein the common machine learning algorithm comprises a support vector machine, a random forest, a neural network and the like; preprocessing the collected data, including missing value filling, outlier processing, data cleaning and the like, so as to ensure the integrity and accuracy of the data; extracting characteristics related to contribution degree of the transformer equipment from the preprocessed data, and selecting the characteristics with larger influence on the contribution degree to model, so that the prediction accuracy and the interpretation of the model are improved; training a selected machine learning algorithm by utilizing historical data, improving the prediction performance of a model by adjusting model parameters and an optimization algorithm, and performing parameter tuning by adopting methods such as cross verification, grid search and the like; evaluating the trained model, measuring the performance of the model by calculating indexes such as prediction accuracy, recall rate and the like, and simultaneously explaining the output result of the model so as to better understand the contribution mode of the transformer equipment;
S44, designing a sequencing strategy: determining sequencing basis according to the result of the contribution evaluation model and the actual demand, wherein the sequencing basis comprises factors such as contribution score, shortest verification time interval, historical verification result and the like of the transformer equipment; selecting a proper sorting algorithm to sort the mutual inductor equipment, wherein common sorting algorithms include bubbling sorting, quick sorting, merging sorting and the like, selecting a proper sorting algorithm according to actual conditions, and optimizing the proper sorting algorithm to improve efficiency; designing a dynamic adjustment strategy, and adjusting the sequencing result according to the real-time state and the demand change of the power system; this helps to improve verification efficiency and the ability to secure the power metering operation; and establishing an effective feedback mechanism, and updating and adjusting the contribution evaluation model and the sequencing strategy in real time according to the actual verification result and the running condition so as to ensure that the contribution evaluation model and the sequencing strategy adapt to the change and the requirement of the power system.
In the step, by collecting historical operation data and verification data, the performance and behavior mode of the transformer equipment can be comprehensively known, and a powerful basis is provided for evaluating the contribution degree and formulating the ordering strategy; by establishing a contribution evaluation model, the contribution of the transformer equipment can be quantitatively evaluated, and the interpretability and transparency of the decision process are improved; the data is processed and analyzed by using a machine learning algorithm, so that modes and associations in the data can be automatically mined, and accuracy and efficiency of contribution evaluation are improved; according to the real-time state and the demand change of the power system, the sequencing result is dynamically adjusted, so that the change and the uncertainty of the power system can be better dealt with; by establishing an effective feedback mechanism, the contribution evaluation model and the sequencing strategy can be updated and adjusted in real time, and the adaptability and the robustness of the whole system are improved.
S5, aiming at the transformer equipment with the highest contribution degree in the transformer equipment sequence to be checked, calculating the regulation index corresponding to each transformer calibrator in the transformer calibrator set to be used;
The sorting of the transformer devices has been completed in step S4, arranged according to the degree of contribution; the objective of step S5 is therefore to select a suitable transformer calibrator to pair with the transformer device to be calibrated; the degree of matching between each transformer calibrator to be used and the transformer equipment to be calibrated, or called the regulation index, needs to be quantitatively measured; the calculation of the regulation index comprises the following steps:
S51, calculating the technical matching degree: determining technical requirements of the transformer equipment to be checked, such as precision, measurement range, compatibility and the like; collecting technical parameters of each transformer calibrator to be used, including precision, measurement range and the like; calculating a technical matching degree score by comparing the technical requirement of the transformer equipment to be checked with the technical parameters of each calibrator; this may be based on an evaluation of weights, taking into account the importance of different technical parameters;
s52, considering history matching records: collecting the matching condition and the checking result of the calibrator and the transformer equipment in the past; analyzing the history matching record, evaluating the mutual adaptability between the calibrator and the transformer equipment, and giving a higher matching score if the past matching is good;
s53, checking time and efficiency assessment: determining a current available time window of each transformer calibrator; evaluating the performance of each calibrator to ensure that calibration tasks are completed within a specified regulatory time window; this may include consideration of verification speed, degree of automation, etc.;
S54, geographical position consideration: determining the geographic position of each calibrator and transformer equipment; calculating the distance between the calibrator and the transformer equipment to be calibrated to ensure that calibration is completed within a specified time window and minimize the moving time;
s55, comprehensive consideration and index calculation: determining the weight of each factor, and distributing the weight according to the actual demand and the priority; multiplying each factor by a corresponding weight, and then adding the scores to obtain a comprehensive regulation index; comparing the comprehensive indexes of all the transformer checkmeters, and selecting the checkmeter with the highest index;
S56, matching with an optimal calibrator: selecting a transformer calibrator with the highest comprehensive index; pairing the optimally matched calibrator with the transformer equipment with the highest contribution degree.
In the step, the regulation and control index between the transformer calibrator and the transformer equipment to be calibrated is calculated by comprehensively considering a plurality of factors such as technical matching degree, history matching record, calibration time and efficiency, geographical position and the like; the intelligent scheduling method can improve the verification efficiency and ensure the accuracy of electric power metering; evaluating the mutual adaptability between the calibrator and the transformer equipment by referring to past history matching records and calibration results; the analysis based on the historical data is helpful for predicting the future matching effect, and the accuracy and reliability of matching are improved; according to the calculation result of the regulation index, selecting the most suitable transformer calibrator to be matched with the transformer equipment to be calibrated; the method can optimize resource allocation, ensure that the verification task is completed within a specified time window, and minimize the moving and transportation cost and time;
Step S5 can be adjusted and optimized according to actual requirements and system conditions; for example, the weight assignment may be modified, the scoring criteria may be adjusted, or other factors may be added depending on the actual situation; this flexibility enables the method to accommodate different scenarios and requirements; the framework of the step S5 can be expanded to more factors and considerations so as to further perfect the calculation of the regulation index; for example, more technical parameters, performance indicators or specific system requirements can be introduced to more fully evaluate the degree of matching between the transformer calibrator and the transformer equipment to be calibrated;
Step S5 is helpful to improve the efficiency and accuracy of the verification of the transformer through reasonable scheduling and matching; this helps to ensure the proper operation of the power system and the accuracy of power metering, providing better assurance and support for the power system.
S6, matching the transformer calibrator with the highest regulation index as a transformer calibrator of the transformer equipment in a regulation time window, deleting the transformer calibrator from a set of transformer calibrators to be used, and deleting the transformer equipment from a sequence of the transformer equipment to be calibrated;
the purpose of step S6 is to find the best matching transformer calibrator for the transformer device with the highest contribution in the sequence of transformer devices to be calibrated, and to ensure that the transformer calibrator is still available in the set of transformer calibrators to be used, specifically as follows:
According to the calculation in the step S5, each transformer calibrator to be used has a corresponding regulation index; the regulation indexes are calculated based on a plurality of factors such as technology matching degree, history matching record, verification time and efficiency, geographic position and the like; selecting the transformer calibrator with the highest regulation and control index from the transformer calibrator set to be used; the transformer calibrator with the highest regulation index is considered as the calibrator which is most matched with the transformer equipment with the highest contribution degree in the transformer equipment sequence to be calibrated;
Matching the selected transformer calibrator with the highest regulation index with the transformer equipment with the highest contribution degree; this means that the transformer calibrator is assigned to the transformer apparatus for calibration; in order to ensure the consistency of data and resources, the transformer calibrator needs to be deleted from a transformer calibrator set to be used, and meanwhile, the transformer equipment with the highest contribution degree is deleted from a transformer equipment sequence to be calibrated;
Through the steps, the transformer equipment with the highest contribution degree can be ensured to be preferentially checked, and meanwhile, the available transformer calibrator resources are fully utilized; this helps to improve the efficiency and accuracy of transformer verification to ensure the accuracy of normal operation and power metering of the power system.
S7, repeating the calculation, matching and deleting processes until each transformer device in the transformer device set to be checked is matched with a unique transformer check meter;
Step S7 is the last step of the overall regulation process, the goal of which is to ensure that each transformer device in the set of transformer devices to be checked can be matched to a unique transformer check meter; this step is primarily dependent on the previous calculation and matching process and needs to be repeated until all transformer devices are properly matched; the method specifically comprises the following steps:
S71, checking whether a to-be-checked transformer equipment set is empty; if the mutual inductor equipment is empty, indicating that all the mutual inductor equipment is successfully matched with the mutual inductor calibrator, and ending the whole regulation and control process;
S72, if the set of the mutual inductor equipment to be checked is not empty, returning to the steps S5 and S6, recalculating the regulation and control index and completing the matching of the mutual inductor check meter and the mutual inductor equipment; after the matching is completed, deleting the matched transformer calibrator from the transformer calibrator set to be used, and deleting the matched transformer equipment from the transformer equipment sequence to be calibrated;
S73, repeating the step S7 until the set of the mutual inductor equipment to be checked is empty; in each iteration, a new batch of transformer equipment is matched with the calibrator until all the transformer equipment is processed;
S74, when the set of the mutual inductor devices to be checked is empty, indicating that all the mutual inductor devices are successfully matched with the mutual inductor check meter; at this time, the entire regulation process may be ended, and a final transformer calibrator schedule may be output.
By repeating the processes of calculation, matching and deletion, each transformer device can be timely and accurately checked, so that the normal operation of the power system and the accuracy of power metering are ensured; the intelligent regulation and control method can effectively solve the problems of limited number and uneven distribution of the transformer calibrator, and improves the utilization rate and the calibration efficiency of the transformer calibrator.
Embodiment two: as shown in fig. 4, the intelligent regulation and control system of the transformer calibrator of the present invention specifically comprises the following modules;
the information acquisition module is used for acquiring the information of the transformer equipment in the regulation and control area and the set longest verification time interval of the transformer equipment; the transformer equipment information comprises the geographical position of the transformer equipment, a verification log of the transformer equipment and the specification of the transformer equipment;
The regulation time window determining module is used for determining a regulation time window, extracting the transformer equipment to be verified in the regulation time window by utilizing the verification log of the transformer equipment and the longest verification time interval of the transformer equipment, and generating a transformer equipment set to be verified;
The transformer calibrator set acquisition module is used for acquiring transformer calibrator without calibration plan in the regulation time window and generating transformer calibrator set to be used;
the sequencing module is used for sequencing the transformer equipment in the transformer equipment set to be checked according to the contribution degree of each transformer equipment in the electric power metering operation to obtain a transformer equipment sequence to be checked;
The regulation and control index calculation module is used for calculating the regulation and control index corresponding to each transformer calibrator in the transformer calibrator set to be used aiming at the transformer equipment with the highest contribution degree in the transformer equipment sequence to be calibrated;
The matching and deleting module is used for matching the transformer calibrator with the highest regulation index into a transformer calibrator of the transformer equipment in a regulation time window, deleting the transformer calibrator from a set of transformer calibrator to be used, and deleting the transformer equipment from a sequence of transformer equipment to be verified;
And the circulation module is used for repeating the regulation index calculation, matching and deletion processes until each transformer device in the transformer device set to be checked is matched with a unique transformer calibrator.
Further, the method for generating the set of the transformer calibrator to be used by utilizing the set acquisition module of the transformer calibrator comprises the following steps:
establishing a transformer calibrator database, wherein the transformer calibrator database comprises the model, the state, the geographic position and a calibration history of each transformer calibrator;
Inquiring a database of the transformer calibrator in a regulation time window, acquiring calibration plans and states of all transformer calibrator in the regulation time window, and identifying transformer calibrator without calibration plans in the regulation time window;
And incorporating the transformer calibrator determined to be a calibration-free plan into a set of transformer calibrators to be used.
Further, the method for obtaining the sequence of the mutual inductor equipment to be verified by using the sequencing module comprises the following steps:
Collecting historical operational data of the transformer device, including current, voltage and power; collecting verification data of the transformer equipment, including a verification result, verification time and verification personnel; collecting power metering operation data of the transformer equipment, including power metering and load monitoring;
Determining evaluation indexes of contribution degree of transformer equipment, including current fluctuation sensitivity and voltage stability;
according to the determined evaluation index, quantifying the contribution degree of the transformer equipment by using a mathematical model;
selecting a machine learning model for contribution evaluation, and training the machine learning model by utilizing collected historical operation data to obtain a contribution evaluation model;
determining the basis of sorting according to the evaluation result of the contribution evaluation model, sorting the mutual inductor equipment, and generating a mutual inductor equipment sequence to be checked.
Further, a method for calculating a regulatory index using a regulatory index calculation module includes:
determining the technical requirements of the transformer equipment to be checked, collecting the technical parameters of each transformer calibrator to be used, and calculating the technical matching degree score by comparing the technical requirements of the transformer equipment to be checked with the technical parameters of each calibrator;
evaluating the performance of each transformer calibrator, including calibration speed and degree of automation;
Determining the geographic position of each transformer calibrator and transformer equipment, and calculating the distance between the calibrator and the transformer equipment to be calibrated;
Determining the weight of the matching degree score, the performance and the distance, and carrying out normalization processing on the matching degree score, the performance and the distance;
and multiplying the normalized score, performance and distance with the corresponding weights respectively and adding the products to obtain the regulation and control index.
Further, a method for matching a unique transformer calibrator for each transformer device in a set of transformer devices to be calibrated using a cyclic module, comprising:
checking whether the set of the mutual inductor devices to be checked is empty, if so, indicating that all the mutual inductor devices are successfully matched with the mutual inductor check meter, and ending the regulation and control process at the moment;
If the set of the mutual inductor equipment to be checked is not empty, calculating the regulation and control index again and completing the matching of the mutual inductor check meter and the mutual inductor equipment; after the matching is completed, deleting the matched transformer calibrator from the transformer calibrator set to be used, and deleting the matched transformer equipment from the transformer equipment sequence to be calibrated; until the set of transformer devices to be verified is empty.
Further, in the information acquisition module, the geographic position of the transformer equipment is acquired through a GPS (global positioning system) position positioning technology; the verification log of the transformer equipment comprises the last verification time, the verification result and the time required by verification; the specifications of the transformer equipment comprise the model, specification and technical parameters of the transformer; the longest verification time interval of the transformer equipment is set according to the specification of the transformer equipment.
Further, in the regulation time window determining module, the regulation time window refers to a time period for performing verification scheduling of the transformer equipment; and the regulation time window is determined according to the historical verification data of the transformer equipment and the load condition of the power system.
In the embodiment, by using an information acquisition module, a regulation and control time window determination module, a transformer calibrator set acquisition module and the like, the system can automatically acquire, process and schedule the transformer calibrator, so that the limitation of scheduling based on manual experience and simple time sequence in the traditional method is avoided; the intelligent scheduling mode improves efficiency and accuracy, and reduces manual intervention and errors;
Through the sequencing module, the system can sequence according to the contribution degree of each transformer device in the electric power metering operation, and preferentially process the transformer devices with higher contribution degree to the operation of the electric power system and the electric power metering operation; the refined scheduling mode can better meet the actual demands and improve the priority and importance of verification;
According to the system, matching and scheduling of the transformer calibrator are performed in an automatic mode, so that manual intervention and errors are reduced, and the working efficiency and the accuracy and reliability of data are improved; automation is one of the important features of modern intelligent systems, which helps to improve the working efficiency and reduce human error;
through the regulation and control index calculation module, the matching and deleting module and the circulation module, the system can optimize the regulation and control process and improve the utilization rate and the verification efficiency of the transformer calibrator; the efficient scheduling mode is beneficial to maximizing resource utilization, reducing waste and improving the overall working efficiency;
The system can acquire the information of the transformer equipment in the regulation and control area and the service condition of the transformer calibrator in real time, realize real-time regulation and control, and ensure the real-time performance and effectiveness of regulation and control; in power systems, time and timeliness are very critical; through real-time regulation and control, the problems can be found and solved in time, and the negative influence on a power system is reduced;
In summary, the intelligent regulation and control system of the transformer calibrator has the advantages of intellectualization, refinement, automation, high efficiency and instantaneity when the problems of allocation and scheduling of the transformer calibrator are solved; the advantages are helpful to improve the operation efficiency of the power system and the accuracy of power metering, and have important practical value and wide application prospect.
The various variations and specific embodiments of the intelligent regulation method for the transformer calibrator in the first embodiment are also applicable to the intelligent regulation system for the transformer calibrator in this embodiment, and by the foregoing detailed description of the intelligent regulation method for the transformer calibrator, those skilled in the art can clearly know the implementation method for the intelligent regulation system for the transformer calibrator in this embodiment, so that, for brevity of description, no detailed description will be given here.
In addition, the application also provides an electronic device, which comprises a bus, a transceiver, a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the transceiver, the memory and the processor are respectively connected through the bus, and when the computer program is executed by the processor, the processes of the method embodiment for controlling output data are realized, and the same technical effects can be achieved, so that repetition is avoided and redundant description is omitted.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that it will be apparent to those skilled in the art that modifications and variations can be made without departing from the technical principles of the present invention, and these modifications and variations should also be regarded as the scope of the invention.
Claims (16)
1. An intelligent regulation and control method for a transformer calibrator is characterized by comprising the following steps:
acquiring information of transformer equipment in a regulation area and setting the longest verification time interval of the transformer equipment; the mutual inductor equipment information comprises the geographic position of the mutual inductor equipment, a verification log of the mutual inductor equipment and the specification of the mutual inductor equipment;
Determining a regulation time window, extracting the transformer equipment to be verified in the regulation time window according to the verification log of the transformer equipment and the longest verification time interval of the transformer equipment, and generating a transformer equipment set to be verified;
acquiring a transformer calibrator without a calibration plan in a regulation time window, and generating a transformer calibrator set to be used;
According to the contribution degree of each transformer device in the electric power metering operation, sequencing the transformer devices in the transformer device set to be checked to obtain a transformer device sequence to be checked;
Aiming at the transformer equipment with the highest contribution degree in the transformer equipment sequence to be checked, calculating the regulation index corresponding to each transformer calibrator in the transformer calibrator set to be used;
Matching the transformer calibrator with the highest regulation index as a transformer calibrator of the transformer equipment in a regulation time window, deleting the transformer calibrator from a set of transformer calibrators to be used, and deleting the transformer equipment from a sequence of the transformer equipment to be calibrated;
repeating the calculation, matching and deleting processes until each transformer device in the set of transformer devices to be checked is matched with a unique transformer calibrator.
2. The intelligent regulation and control method of a transformer calibrator according to claim 1, wherein the method for generating the set of transformer calibrator to be used comprises:
establishing a transformer calibrator database, wherein the transformer calibrator database comprises the model, the state, the geographic position and a calibration history of each transformer calibrator;
Inquiring a database of the transformer calibrator in a regulation time window, acquiring calibration plans and states of all transformer calibrator in the regulation time window, and identifying transformer calibrator without calibration plans in the regulation time window;
And incorporating the transformer calibrator determined to be a calibration-free plan into a set of transformer calibrators to be used.
3. The intelligent regulation and control method of a transformer calibrator according to claim 1, wherein the method for obtaining the sequence of the transformer equipment to be calibrated comprises the following steps:
Collecting historical operational data of the transformer device, including current, voltage and power; collecting verification data of the transformer equipment, including a verification result, verification time and verification personnel; collecting power metering operation data of the transformer equipment, including power metering and load monitoring;
Determining evaluation indexes of contribution degree of transformer equipment, including current fluctuation sensitivity and voltage stability;
according to the determined evaluation index, quantifying the contribution degree of the transformer equipment by using a mathematical model;
selecting a machine learning model for contribution evaluation, and training the machine learning model by utilizing collected historical operation data to obtain a contribution evaluation model;
determining the basis of sorting according to the evaluation result of the contribution evaluation model, sorting the mutual inductor equipment, and generating a mutual inductor equipment sequence to be checked.
4. The intelligent regulation and control method of a transformer calibrator of claim 1, wherein the method for calculating the regulation and control index comprises:
determining the technical requirements of the transformer equipment to be checked, collecting the technical parameters of each transformer calibrator to be used, and calculating the technical matching degree score by comparing the technical requirements of the transformer equipment to be checked with the technical parameters of each calibrator;
evaluating the performance of each transformer calibrator, including calibration speed and degree of automation;
Determining the geographic position of each transformer calibrator and transformer equipment, and calculating the distance between the calibrator and the transformer equipment to be calibrated;
Determining the weight of the matching degree score, the performance and the distance, and carrying out normalization processing on the matching degree score, the performance and the distance;
and multiplying the normalized score, performance and distance with the corresponding weights respectively and adding the products to obtain the regulation and control index.
5. The intelligent regulation method of a transformer calibrator according to claim 1, wherein the method for matching a unique transformer calibrator for each transformer device in a set of transformer devices to be calibrated comprises:
checking whether the set of the mutual inductor devices to be checked is empty, if so, indicating that all the mutual inductor devices are successfully matched with the mutual inductor check meter, and ending the regulation and control process at the moment;
If the set of the mutual inductor equipment to be checked is not empty, calculating the regulation and control index again and completing the matching of the mutual inductor check meter and the mutual inductor equipment; after the matching is completed, deleting the matched transformer calibrator from the transformer calibrator set to be used, and deleting the matched transformer equipment from the transformer equipment sequence to be calibrated; until the set of transformer devices to be verified is empty.
6. The intelligent regulation and control method of the transformer calibrator according to claim 1, wherein the geographic position of the transformer equipment is obtained by a GPS (global positioning system) position locating technology; the verification log of the transformer equipment comprises the last verification time, the verification result and the time required by verification; the specifications of the transformer equipment comprise the model, specification and technical parameters of the transformer; the longest verification time interval of the transformer equipment is set according to the specification of the transformer equipment.
7. The intelligent regulation and control method of the transformer calibrator according to claim 1, wherein the regulation and control time window refers to a time period for performing calibration and scheduling of the transformer equipment; and the regulation time window is determined according to the historical verification data of the transformer equipment and the load condition of the power system.
8. An intelligent regulation and control system of a transformer calibrator, which is characterized by comprising:
the information acquisition module is used for acquiring the information of the transformer equipment in the regulation and control area and the set longest verification time interval of the transformer equipment; the transformer equipment information comprises the geographical position of the transformer equipment, a verification log of the transformer equipment and the specification of the transformer equipment;
The regulation time window determining module is used for determining a regulation time window, extracting the transformer equipment to be verified in the regulation time window by utilizing the verification log of the transformer equipment and the longest verification time interval of the transformer equipment, and generating a transformer equipment set to be verified;
The transformer calibrator set acquisition module is used for acquiring transformer calibrator without calibration plan in the regulation time window and generating transformer calibrator set to be used;
the sequencing module is used for sequencing the transformer equipment in the transformer equipment set to be checked according to the contribution degree of each transformer equipment in the electric power metering operation to obtain a transformer equipment sequence to be checked;
The regulation and control index calculation module is used for calculating the regulation and control index corresponding to each transformer calibrator in the transformer calibrator set to be used aiming at the transformer equipment with the highest contribution degree in the transformer equipment sequence to be calibrated;
The matching and deleting module is used for matching the transformer calibrator with the highest regulation index into a transformer calibrator of the transformer equipment in a regulation time window, deleting the transformer calibrator from a set of transformer calibrator to be used, and deleting the transformer equipment from a sequence of transformer equipment to be verified;
And the circulation module is used for repeating the regulation index calculation, matching and deletion processes until each transformer device in the transformer device set to be checked is matched with a unique transformer calibrator.
9. The intelligent regulation and control system of the transformer calibrator according to claim 8, wherein the method for generating the set of the transformer calibrator to be used by using the set of the transformer calibrator acquisition module comprises the following steps:
establishing a transformer calibrator database, wherein the transformer calibrator database comprises the model, the state, the geographic position and a calibration history of each transformer calibrator;
Inquiring a database of the transformer calibrator in a regulation time window, acquiring calibration plans and states of all transformer calibrator in the regulation time window, and identifying transformer calibrator without calibration plans in the regulation time window;
And incorporating the transformer calibrator determined to be a calibration-free plan into a set of transformer calibrators to be used.
10. The intelligent regulation and control system of a transformer calibrator of claim 8, wherein the method for obtaining the sequence of transformer devices to be calibrated using the sequencing module comprises:
Collecting historical operational data of the transformer device, including current, voltage and power; collecting verification data of the transformer equipment, including a verification result, verification time and verification personnel; collecting power metering operation data of the transformer equipment, including power metering and load monitoring;
Determining evaluation indexes of contribution degree of transformer equipment, including current fluctuation sensitivity and voltage stability;
according to the determined evaluation index, quantifying the contribution degree of the transformer equipment by using a mathematical model;
selecting a machine learning model for contribution evaluation, and training the machine learning model by utilizing collected historical operation data to obtain a contribution evaluation model;
determining the basis of sorting according to the evaluation result of the contribution evaluation model, sorting the mutual inductor equipment, and generating a mutual inductor equipment sequence to be checked.
11. The intelligent regulation system of a transformer calibrator of claim 8, wherein the method for calculating the regulation index using the regulation index calculation module comprises:
determining the technical requirements of the transformer equipment to be checked, collecting the technical parameters of each transformer calibrator to be used, and calculating the technical matching degree score by comparing the technical requirements of the transformer equipment to be checked with the technical parameters of each calibrator;
evaluating the performance of each transformer calibrator, including calibration speed and degree of automation;
Determining the geographic position of each transformer calibrator and transformer equipment, and calculating the distance between the calibrator and the transformer equipment to be calibrated;
Determining the weight of the matching degree score, the performance and the distance, and carrying out normalization processing on the matching degree score, the performance and the distance;
and multiplying the normalized score, performance and distance with the corresponding weights respectively and adding the products to obtain the regulation and control index.
12. The intelligent regulation and control system of a transformer calibrator of claim 8, wherein the method for matching a unique transformer calibrator for each transformer device in a set of transformer devices to be calibrated using a cyclic module comprises:
checking whether the set of the mutual inductor devices to be checked is empty, if so, indicating that all the mutual inductor devices are successfully matched with the mutual inductor check meter, and ending the regulation and control process at the moment;
If the set of the mutual inductor equipment to be checked is not empty, calculating the regulation and control index again and completing the matching of the mutual inductor check meter and the mutual inductor equipment; after the matching is completed, deleting the matched transformer calibrator from the transformer calibrator set to be used, and deleting the matched transformer equipment from the transformer equipment sequence to be calibrated; until the set of transformer devices to be verified is empty.
13. The intelligent regulation and control system of the transformer calibrator of claim 8, wherein in the information acquisition module, the geographic position of the transformer equipment is acquired by a GPS position location technique; the verification log of the transformer equipment comprises the last verification time, the verification result and the time required by verification; the specifications of the transformer equipment comprise the model, specification and technical parameters of the transformer; the longest verification time interval of the transformer equipment is set according to the specification of the transformer equipment.
14. The intelligent regulation and control system of the transformer calibrator of claim 8, wherein in the regulation and control time window determining module, the regulation and control time window refers to a time period for performing calibration and scheduling of the transformer equipment; and the regulation time window is determined according to the historical verification data of the transformer equipment and the load condition of the power system.
15. An intelligent regulation and control electronic device for a transformer calibrator, comprising a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected by the bus, and wherein the computer program when executed by the processor implements the steps of the method of any of claims 1-7.
16. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any of claims 1-7.
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