Transformer state evaluation method and device and computer readable storage medium

Abstract

The invention discloses a transformer state evaluation method and device and a computer readable storage medium. The method comprises the following steps: acquiring multi-source heterogeneous state data of a transformer; determining a plurality of state evaluation indexes for performing state evaluation on the transformer from the multi-source heterogeneous state data; index weights corresponding to the multiple state evaluation indexes are determined, membership values corresponding to the multiple state evaluation indexes are determined, and the membership values are used for representing the correlation degree between the index states of the corresponding state evaluation indexes and the performance state of the transformer; constructing an index evaluation matrix based on the index weights respectively corresponding to the plurality of state evaluation indexes and the membership values respectively corresponding to the plurality of state evaluation indexes; and evaluating the performance state of the transformer based on the index evaluation matrix. The technical problem that the state of the transformer cannot be accurately evaluated is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment, and in particular to a transformer status assessment method, device and computer-readable storage medium. Background Art

[0002] At present, with the continuous development of power systems and the improvement of their intelligence level, the stability and safety of the operating status of transformers, as key equipment in power systems, have become particularly important. Traditional transformer status assessment methods mainly rely on regular offline tests and empirical judgments. This method is not only time-consuming and labor-intensive, but also has limitations in real-time and accuracy, and is difficult to adapt to the high requirements of modern power systems for equipment status monitoring and assessment. Especially in the face of complex and changing operating environments and increasing load demands, the shortcomings of traditional methods have become increasingly obvious, and it is impossible to comprehensively and accurately assess the status information of transformers, thus affecting the safe operation and maintenance efficiency of power systems.

[0003] With respect to the above-mentioned technical problem of being unable to accurately evaluate the status of the transformer, no effective solution has been proposed so far. Summary of the invention

[0004] The embodiments of the present invention provide a method, an apparatus and a computer-readable storage medium for evaluating the state of a transformer, so as to at least solve the technical problem that the state of the transformer cannot be accurately evaluated.

[0005] According to one aspect of an embodiment of the present invention, a method for evaluating a transformer state is provided, the method comprising: obtaining multi-source heterogeneous state data of the transformer, wherein the multi-source heterogeneous state data is state data of the transformer in multiple dimensions; determining a plurality of state evaluation indicators for performing state evaluation on the transformer from the multi-source heterogeneous state data; determining indicator weights corresponding to the plurality of state evaluation indicators, and determining membership values ​​corresponding to the plurality of state evaluation indicators, wherein the indicator weights are used to characterize the importance of the corresponding state evaluation indicators to evaluating the performance state of the transformer, and the membership values ​​are used to characterize the degree of correlation between the indicator state of the corresponding state evaluation indicator and the performance state of the transformer; constructing an indicator evaluation matrix based on the indicator weights corresponding to the plurality of state evaluation indicators, and the membership values ​​corresponding to the plurality of state evaluation indicators; and evaluating the performance state of the transformer based on the indicator evaluation matrix.

[0006] Optionally, multi-source heterogeneous status data of the transformer is obtained, including: obtaining equipment information of the transformer, online monitoring data of the transformer, historical operation records of the transformer, and environmental parameters of the environment in which the transformer is located through the transformer monitoring equipment, the transformer operation and maintenance management system, and the historical data records of the transformer; integrating the equipment information of the transformer, the online monitoring data of the transformer, the historical operation records of the transformer, and the environmental parameters of the environment in which the transformer is located to obtain the multi-source heterogeneous status data of the transformer.

[0007] Optionally, multiple status evaluation indicators for transformer status evaluation are determined from multi-source heterogeneous status data, including: based on the equipment information in the multi-source heterogeneous status data, performance indicators for transformer status evaluation are determined, wherein the performance indicators are used to evaluate the electrical performance and internal condition of the transformer; based on the online monitoring data in the multi-source heterogeneous status data, operating indicators for transformer status evaluation are determined, wherein the operating indicators are used to evaluate the performance of the transformer under actual operating conditions; based on the historical operating records in the multi-source heterogeneous status data, historical indicators for transformer status evaluation are determined, wherein the historical indicators are used to evaluate the changing trend of the performance status of the transformer; based on the environmental parameters in the multi-source heterogeneous status data, environmental indicators for transformer status evaluation are determined, wherein the environmental indicators are used to evaluate the degree of influence of environmental factors on the transformer status.

[0008] Optionally, determining indicator weights of multiple state evaluation indicators includes: determining the degree of influence of multiple state evaluation indicators on the performance state of the transformer; determining the initial indicator weight corresponding to each state evaluation indicator based on the degree of influence of each state evaluation indicator on the performance state of the transformer; adjusting the initial indicator weight corresponding to each state evaluation indicator based on the indicator score currently corresponding to each state evaluation indicator to obtain the target indicator weight of each state evaluation indicator, wherein the indicator score currently corresponding to each state evaluation indicator is used to characterize the evaluation result of each state evaluation indicator on the current state of the specific function of the transformer.

[0009] Optionally, based on the indicator score currently corresponding to each state evaluation indicator, the initial indicator weight corresponding to each state evaluation indicator is adjusted, including: comparing the indicator score currently corresponding to each state evaluation indicator with the indicator score threshold to obtain a comparison result; in response to the comparison result indicating that the indicator score currently corresponding to the target state evaluation indicator is greater than the indicator score threshold, increasing the indicator weight of the target state evaluation indicator.

[0010] Optionally, determining the membership values ​​respectively corresponding to the multiple state evaluation indicators includes: determining the membership functions respectively corresponding to the multiple state evaluation indicators; and based on the membership functions, converting the indicator scores respectively corresponding to the multiple state evaluation indicators into membership values.

[0011] Optionally, based on the indicator weights corresponding to the multiple state evaluation indicators, and the membership values ​​corresponding to the multiple state evaluation indicators, an indicator evaluation matrix is ​​constructed, including: determining the column elements of the indicator evaluation matrix based on the indicator weights corresponding to the multiple state evaluation indicators, and determining the row elements of the indicator evaluation matrix based on the membership values ​​corresponding to the multiple state evaluation indicators, or determining the row elements of the indicator evaluation matrix based on the indicator weights corresponding to the multiple state evaluation indicators, and determining the column elements of the indicator evaluation matrix based on the membership values ​​corresponding to the multiple state evaluation indicators.

[0012] Optionally, based on the indicator evaluation matrix, the performance status of the transformer is evaluated, including: based on the evaluation matrix, determining the comprehensive membership corresponding to a plurality of status evaluation indicators; and determining the performance status of the transformer based on the comprehensive membership.

[0013] According to another aspect of an embodiment of the present invention, a transformer state evaluation device is also provided. The device includes: an acquisition unit, used to acquire multi-source heterogeneous state data of the transformer, wherein the multi-source heterogeneous state data is state data of the transformer in multiple dimensions; a first determination unit, used to determine multiple state evaluation indicators for state evaluation of the transformer from the multi-source heterogeneous state data; a second determination unit, used to determine the indicator weights corresponding to the multiple state evaluation indicators, and to determine the membership values ​​corresponding to the multiple state evaluation indicators, wherein the indicator weights are used to characterize the importance of the corresponding state evaluation indicators for evaluating the performance state of the transformer, and the membership values ​​are used to characterize the degree of association between the indicator state of the corresponding state evaluation indicator and the performance state of the transformer; a construction unit, used to construct an indicator evaluation matrix based on the indicator weights corresponding to the multiple state evaluation indicators, and the membership values ​​corresponding to the multiple state evaluation indicators; an evaluation unit, used to evaluate the performance state of the transformer based on the indicator evaluation matrix.

[0014] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is further provided, the computer-readable storage medium including a stored program, wherein when the program is executed by a processor, the device where the storage medium is located is controlled to execute the transformer state evaluation method in an embodiment of the present invention.

[0015] According to another aspect of an embodiment of the present invention, a processor is further provided, wherein the processor is used to run a program, wherein when the program is run, the transformer state evaluation method in the embodiment of the present invention is executed.

[0016] According to another aspect of the embodiment of the present invention, a computer program product is provided, which includes computer instructions, and when the computer instructions are executed by a processor, the method for evaluating the transformer state in the embodiment of the present invention is implemented.

[0017] In an embodiment of the present invention, multi-source heterogeneous state data of a transformer is obtained, wherein the multi-source heterogeneous state data is state data of the transformer in multiple dimensions; from the multi-source heterogeneous state data, multiple state evaluation indicators for state evaluation of the transformer are determined; the indicator weights corresponding to the multiple state evaluation indicators are determined, and the membership values ​​corresponding to the multiple state evaluation indicators are determined, wherein the indicator weight is used to characterize the importance of the corresponding state evaluation indicator to the evaluation of the performance state of the transformer, and the membership value is used to characterize the degree of association between the indicator state of the corresponding state evaluation indicator and the performance state of the transformer; based on the indicator weights corresponding to the multiple state evaluation indicators, and the membership values ​​corresponding to the multiple state evaluation indicators, an indicator evaluation matrix is ​​constructed; based on the indicator evaluation matrix, the performance state of the transformer is evaluated. That is to say, in an embodiment of the present invention, by obtaining multi-source heterogeneous data of the transformer and extracting multiple evaluation indicators of the transformer from the multi-source heterogeneous data, the comprehensiveness of the evaluation indicators for the performance state evaluation of the transformer can be ensured, and the limitations and one-sidedness that may be brought about by the evaluation of a single data source can be avoided, thereby achieving the improvement of the accuracy of the performance state evaluation of the transformer, and then solving the technical problem of accurately evaluating the performance state of the transformer. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0019] Figure 1 is a flow chart of a transformer status evaluation method according to an embodiment of the present invention;

[0020] Figure 2 is a schematic diagram of a transformer status evaluation device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0022] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, functional component or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, functional components or devices.

[0023] According to an embodiment of the present invention, an embodiment of a method for evaluating a transformer state is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0024] Figure 1 is a flow chart of a transformer status evaluation method according to an embodiment of the present invention. Figure 1 As shown, the method may include the following steps:

[0025] Step S101, obtaining multi-source heterogeneous status data of the transformer.

[0026] In the technical solution provided in the above step S101 of the present invention, the multi-source heterogeneous state data is used to indicate the state data of the transformer obtained from different monitoring devices, monitoring systems and historical archives, and the multi-source heterogeneous data includes but is not limited to: equipment information of the transformer, online monitoring data of the transformer, historical operation records of the transformer, environmental parameters of the transformer, etc. These data not only come from a wide range of sources, but also in various forms, including both structured quantitative data and unstructured text descriptions.

[0027] In this embodiment, multi-source heterogeneous data of the transformer can be obtained from the monitoring equipment, monitoring system, and historical archives of the transformer. This is only an illustrative example and does not limit the method of obtaining the multi-source heterogeneous status data of the transformer.

[0028] Step S102: determining a plurality of status assessment indicators for performing status assessment on the transformer from multi-source heterogeneous status data.

[0029] In the technical solution provided in the above step S102 of the present invention, a plurality of status evaluation indicators are used to evaluate the performance status of the transformer from multiple dimensions, wherein the plurality of status evaluation indicators may include but are not limited to: performance indicators, operation indicators, historical situation indicators and environmental indicators.

[0030] In this embodiment, it can be seen from the above step S101 that the multi-source heterogeneous status data may include equipment information of the transformer, online monitoring data of the transformer, historical operation records of the transformer, environmental parameters of the transformer, etc. Based on this, evaluation indicators for transformer status evaluation can be selected from multiple dimensions such as transformer performance, operating conditions, historical conditions and the environment in which the transformer is located according to the equipment information of the transformer, online monitoring data of the transformer, historical operation records of the transformer, and environmental parameters of the transformer.

[0031] In this step, based on the obtained multi-source heterogeneous data of the transformer, operational transformer status assessment indicators are selected from multiple dimensions such as the transformer's performance, operating conditions, historical conditions, and the environment in which it is located, which can comprehensively and truly reflect the transformer's operating status and are operational, which helps to comprehensively and accurately assess the transformer's performance status.

[0032] Step S103: determining the indicator weights respectively corresponding to the multiple state evaluation indicators, and determining the membership values ​​respectively corresponding to the multiple state evaluation indicators.

[0033] In the technical solution provided in the above step S103 of the present invention, the indicator weight is used to characterize the importance of the corresponding state evaluation indicator to the evaluation of the performance status of the transformer, and the membership value is used to characterize the correlation between the indicator topic of the corresponding state evaluation indicator and the performance status of the transformer.

[0034] In this embodiment, the indicator weights corresponding to the various state evaluation indicators are determined by using the fuzzy analytical hierarchy process (FAHP for short), and the membership values ​​corresponding to the various state evaluation indicators are determined by using the membership function.

[0035] Optionally, when determining the indicator weights corresponding to each state evaluation indicator through FAHP, multiple state evaluation indicators can be divided into different levels according to their influence degree and category on the transformer state, forming a hierarchical analysis framework, and then constructing a judgment matrix. Then, according to the maximum eigenvalue and eigenvector of the judgment matrix, the relative weight of each decision factor is obtained.

[0036] For example, take "comprehensive evaluation of transformer performance status" as the top-level goal. Then, the various status evaluation indicators for evaluating the transformer performance status are divided into different levels, each level represents an evaluation dimension. For example, the first level may include: transformer performance, operating status, historical operating records and the environment in which the transformer is located; the second level may include: transformer oil temperature, partial discharge, equipment service life, maintenance frequency, ambient temperature and humidity, etc. There is no specific restriction here, that is, the hierarchical analysis framework corresponding to different levels is from the top-level goal to multiple criterion layers, and then refined to specific factors. The elements under each level form a one-to-many relationship with the elements of the next level. This hierarchical structure helps to clearly analyze and compare the importance of different status evaluation indicators.

[0037] Optionally, after obtaining the hierarchical analysis framework, a judgment matrix can be constructed. For example, fuzzy linguistic variables are selected: such as "very important", "important", "equal", "less important", "completely unimportant", etc., to describe the relative importance of each state evaluation indicator. The fuzzy linguistic variables are converted into fuzzy numbers: for example, triangular fuzzy numbers or trapezoidal fuzzy numbers are used to quantify these linguistic variables. Based on expert opinions or data analysis, fill in the judgment matrix: each item in the matrix represents the comparison result between two state evaluation indicators, usually a fuzzy number, which is used to represent the importance of one state evaluation indicator relative to another state evaluation indicator.

[0038] Optionally, after obtaining the judgment matrix, each row of the judgment matrix can be fuzzy weighted to obtain the fuzzy weight vector of each state evaluation indicator. Check whether the judgment matrix meets the fuzzy consistency requirements to ensure the rationality of the weight distribution. If the consistency ratio (Cons istency Ratio, referred to as CR) is less than 0.1, it is considered that the judgment matrix has sufficient fuzzy consistency. Convert the fuzzy weight vector into a clear weight value for subsequent comprehensive evaluation calculations.

[0039] Optionally, the weight value obtained by fuzzy weight calculation can be used to dynamically adjust the contribution of each state evaluation indicator in the final comprehensive evaluation.

[0040] Optionally, when determining the membership values ​​corresponding to each state evaluation index through a membership function, an appropriate membership function, such as a triangle, trapezoid or Gaussian function, can be defined according to the nature of the index and the evaluation requirements. Afterwards, parameters such as a center point, a boundary value, etc. are determined for the membership function based on experience, historical data or statistical analysis. The state data of each state evaluation index is input into the corresponding membership function, and the membership value of the state evaluation index state for different performance levels is calculated.

[0041] Optionally, after calculating the membership values ​​corresponding to the various status evaluation indicators, the status membership values ​​of all indicators may be aggregated to form a matrix as input data for subsequent comprehensive evaluation.

[0042] In this step, the indicator weights determined by the fuzzy hierarchical analysis method and the degree of association between the indicator status and the health status calculated by the membership function together constitute a quantitative framework for evaluating the transformer status. This framework provides a scientific basis for subsequent comprehensive evaluation, ensuring the objectivity and accuracy of the evaluation results, and also reflects the dynamic importance of different indicators under different operating conditions.

[0043] Step S104: construct an indicator evaluation matrix based on the indicator weights corresponding to the various state evaluation indicators and the membership values ​​corresponding to the various state evaluation indicators.

[0044] In the technical solution provided in the above step S104 of the present invention, the index evaluation matrix includes the membership values ​​of all state evaluation indicators, which reflect the degree of consistency between the indicator state and the transformer health state level. Each indicator has its corresponding membership value, which constitutes the column vector of the matrix, and the rows usually represent different performance state levels.

[0045] In this embodiment, when constructing an indicator evaluation matrix according to the indicator weights corresponding to the multiple state evaluation indicators and the membership values ​​corresponding to the multiple state evaluation indicators, the multiple state evaluation indicators can be used as row elements of the indicator evaluation matrix, and the membership values ​​corresponding to the multiple state evaluation indicators can be used as column elements of the indicator evaluation matrix. Each element in the indicator evaluation matrix is ​​a weighted membership value obtained by weighted calculation of the membership value corresponding to the state evaluation indicator according to the indicator weights corresponding to the state evaluation indicator, so as to integrate the relative importance of each state evaluation indicator into the evaluation process.

[0046] Step S105: evaluating the performance status of the transformer based on the indicator evaluation matrix.

[0047] In the technical solution provided in the above step S105 of the present application, after the indicator evaluation matrix is ​​determined in the above step S104, the performance status of the transformer can be evaluated according to the indicator evaluation matrix.

[0048] In this embodiment, as can be seen from the above introduction, each element in the indicator evaluation matrix is ​​a weighted membership value obtained by weighted calculation of the membership value corresponding to the state evaluation indicator according to the indicator weight corresponding to the state evaluation indicator. Based on this, the weighted membership value can be comprehensively processed, and weighted average, weighted summation / or other fuzzy logic operations (such as fuzzy AND, fuzzy OR) can be used. This calculation process integrates the evaluation results of multiple state evaluation indicators into a single value, representing the comprehensive membership of the transformer at different health status levels.

[0049] Optionally, after the comprehensive membership is determined, the current performance status level of the transformer is determined by comparing the comprehensive membership with a set threshold or by fuzzy logic operation. This level may be one of multiple levels ranging from "normal" to "serious fault", depending on the numerical range of the comprehensive membership.

[0050] Optionally, the performance status level of the transformer may include a normal state, a suspicious state, an abnormal state, and a fault state, wherein when the transformer is in a normal state, it means that the transformer is operating normally and can operate stably for a long time. In this case, the transformer can be considered for delayed maintenance. When the transformer is in a suspicious state, it means that the operating state of the transformer is OK, but long-term stable operation cannot be guaranteed. In this case, the transformer can be inspected more frequently and the transformer can be repaired. When the transformer is in an abnormal state, it means that the transformer may have or may develop a fault. In this case, the operation of the transformer can be monitored and the power can be shut down for maintenance as soon as possible. When the transformer is in a faulty state, the transformer can be immediately shut down for maintenance.

[0051] In the above steps S101 to S105, the comprehensiveness of the evaluation indicators is ensured by obtaining multi-source heterogeneous status data, including equipment information, online monitoring data, historical operation records, and environmental parameters. This comprehensiveness avoids the limitations and one-sidedness that may be brought about by the evaluation of a single data source, and provides a more comprehensive perspective on the equipment operation status. The indicator weights determined by the fuzzy analytic hierarchy process (FAHP) can objectively reflect the importance of different indicators in the evaluation, and the membership function accurately quantifies the degree of correlation between the indicator status and the health status, thereby significantly improving the accuracy of the performance status evaluation, thereby solving the technical problem of being unable to accurately evaluate the performance status of the transformer.

[0052] The above method of this embodiment is further introduced below.

[0053] As an optional implementation method, step S101, obtaining multi-source heterogeneous status data of the transformer, includes: obtaining the equipment information of the transformer, the online monitoring data of the transformer, the historical operation records of the transformer, and the environmental parameters of the environment in which the transformer is located through the monitoring equipment of the transformer, the operation and maintenance management system of the transformer, and the historical data records of the transformer; integrating the equipment information of the transformer, the online monitoring data of the transformer, the historical operation records of the transformer, and the environmental parameters of the environment in which the transformer is located to obtain the multi-source heterogeneous status data of the transformer.

[0054] In this embodiment, as can be seen from the above introduction, multi-source heterogeneous status data means that the data comes from different monitoring devices, monitoring systems and historical archives, and the form and structure of the multi-source heterogeneous status data may be different. Based on this, the equipment information of the transformer, the online monitoring data of the transformer, the historical operation record of the transformer, and the environmental parameters of the environment in which the transformer is located can be obtained through the monitoring equipment of the transformer, the operation and maintenance management system of the transformer, and the historical data record of the transformer. After obtaining the equipment information of the transformer, the online monitoring data of the transformer, the historical operation record of the transformer, and the environmental parameters of the environment in which the transformer is located, the equipment information of the transformer, the online monitoring data of the transformer, the historical operation record of the transformer, and the environmental parameters of the environment in which the transformer is located can be integrated to obtain the multi-source heterogeneous status data of the transformer, wherein the multi-source heterogeneous data can evaluate the performance status of the transformer from multiple different dimensions.

[0055] In this step, by integrating multi-source heterogeneous data such as transformer equipment information, online monitoring data and historical situation records, the transformer status can be comprehensively considered from multiple dimensions such as performance indicators, operating indicators, historical conditions and environmental indicators, avoiding the limitations of single data source evaluation and significantly improving the objectivity and comprehensiveness of the evaluation.

[0056] As an optional implementation method, step S102 determines a plurality of status evaluation indicators for transformer status evaluation from multi-source heterogeneous status data, including: determining performance indicators for transformer status evaluation based on equipment information in the multi-source heterogeneous status data, wherein the performance indicators are used to evaluate the electrical performance and internal condition of the transformer; determining operation indicators for transformer status evaluation based on online monitoring data in the multi-source heterogeneous status data, wherein the operation indicators are used to evaluate the performance of the transformer under actual operating conditions; determining historical indicators for transformer status evaluation based on historical operation records in the multi-source heterogeneous status data, wherein the historical indicators are used to evaluate the changing trend of the performance status of the transformer; determining environmental indicators for transformer status evaluation based on environmental parameters in the multi-source heterogeneous status data, wherein the environmental indicators are used to evaluate the degree of influence of environmental factors on the transformer status.

[0057] In this embodiment, the performance indicators are mainly derived from the equipment information of the transformer, including but not limited to the design parameters, manufacturing quality, maintenance history, etc. of the transformer. These indicators can often reflect the basic electrical performance and internal structure of the transformer. For example, the design capacity, cooling method, insulation material grade, and the type and quality of transformer oil are all key factors in evaluating transformer performance. By analyzing the equipment information, the theoretical performance of the transformer under rated conditions can be determined, as well as whether its internal structure meets safety and efficiency requirements.

[0058] Optionally, the operating indicators are mainly derived from online monitoring data of the transformer during actual operation, including electrical parameters, operating temperature, partial discharge, oil chromatography analysis results, etc. These data can reflect the performance of the transformer under the current operating conditions in real time and are the basis for evaluating the immediate status of the transformer. For example, oil chromatography analysis can detect the gas composition in the transformer oil to determine whether there are abnormal conditions such as overheating or discharge inside the transformer; partial discharge monitoring can identify insulation or structural defects and promptly warn of potential fault risks.

[0059] Optionally, historical indicators are analyzed based on the historical operation records of the transformer, including fault records, maintenance frequency, historical changes in performance parameters, etc. These indicators can reveal the changing trend of the transformer performance status and help identify potential problems in long-term operation. For example, by comparing the oil chromatography analysis results at different time points, it can be determined whether the internal condition of the transformer has a trend of deterioration; fault records and maintenance frequency can reflect the reliability of the transformer and whether there are periodic maintenance or failure modes.

[0060] Optionally, environmental indicators focus on the impact of external environmental factors on the transformer status, including temperature, humidity, pollution level, etc. at the transformer operating location. Changes in environmental conditions may accelerate the aging of the transformer and affect its performance and life. For example, high temperature and high humidity may accelerate the degradation of insulation materials, resulting in performance degradation; an environment with a high pollution level may increase the risk of insulation failure on the transformer surface. By monitoring and analyzing environmental parameters, the degree of impact of environmental factors on the transformer status can be evaluated, providing a basis for taking preventive maintenance measures.

[0061] Optionally, multiple status evaluation indicators are screened and determined from multi-source heterogeneous status data, which cover the basic electrical performance, actual operating performance, long-term operating trend and environmental adaptability of the transformer. By comprehensively and systematically analyzing these indicators, a dynamic and multi-dimensional transformer status evaluation system can be constructed to provide objective, accurate and timely status information for the health management of power equipment.

[0062] As an optional implementation, step S103, determining the indicator weights of multiple state evaluation indicators, includes: determining the degree of influence of multiple state evaluation indicators on the performance state of the transformer; determining the initial indicator weight corresponding to each state evaluation indicator based on the degree of influence of each state evaluation indicator on the performance state of the transformer; adjusting the initial indicator weight corresponding to each state evaluation indicator based on the indicator score currently corresponding to each state evaluation indicator, and obtaining the target indicator weight of each state evaluation indicator, wherein the indicator score currently corresponding to each state evaluation indicator is used to characterize the evaluation result of each state evaluation indicator on the current state of the specific function of the transformer.

[0063] In this embodiment, the degree of influence of each state evaluation indicator on the performance state of the transformer can be determined based on expert knowledge, historical data analysis and theoretical models, and then the initial indicator weight of each state evaluation indicator can be determined using the fuzzy analytic hierarchy process (FAHP). Among them, FAHP is a decision analysis method that combines a hierarchical model and fuzzy mathematics, which can handle the relative importance between indicators and the ambiguity and uncertainty in the decision-making process. By constructing a judgment matrix and calculating eigenvectors, FAHP derives a weight vector that represents the initial indicator weight of each state evaluation indicator, that is, the inherent importance of each state evaluation indicator to the performance state of the transformer.

[0064] Optionally, after determining the initial weight of each state evaluation indicator for evaluating the performance state of the transformer, the initial indicator weight is adjusted according to the current indicator score of each state evaluation indicator to obtain the target indicator weight corresponding to each state evaluation indicator to reflect the dynamic importance of each indicator under the current operating conditions. The indicator score is based on the latest monitoring data and historical comparison, and represents the evaluation result of each state evaluation indicator on the current state of the specific function of the transformer. For example, if the partial discharge indicator score is abnormally high, it means that this indicator has a more significant impact on the performance state under the current situation, and its target indicator weight should be increased accordingly.

[0065] Optionally, the key significance of dynamic weight adjustment is that it can make the evaluation system more adaptable to the actual operating status of the transformer, avoiding the weight distribution being unchanging or out of touch with the actual situation, thereby improving the accuracy and practicality of the status assessment.

[0066] As an optional implementation method, based on the indicator score currently corresponding to each state evaluation indicator, the initial indicator weight corresponding to each state evaluation indicator is adjusted, including: comparing the indicator score currently corresponding to each state evaluation indicator with the indicator score threshold to obtain a comparison result; in response to the comparison result indicating that the indicator score currently corresponding to the target state evaluation indicator is greater than the indicator score threshold, increasing the indicator weight of the target state evaluation indicator.

[0067] In this embodiment, the current indicator score of each state evaluation indicator is obtained through real-time monitoring and data collection. These scores can be direct conversions of quantitative measurement results or quantitative values ​​calculated by membership functions, depending on the nature and measurement method of the evaluation indicator. An indicator score threshold is set for each state evaluation indicator. This threshold is determined based on historical data, equipment specifications, or expert experience, and is used to determine whether the indicator score has reached an abnormal or attention-required level.

[0068] Optionally, the current indicator score of each state evaluation indicator is compared with a corresponding threshold value to obtain a comparison result. If the indicator score is greater than the threshold value, it generally means that the indicator is in an abnormal state or has an aggravated impact on the transformer state.

[0069] Optionally, in response to the comparison result, for the state evaluation index (referred to as the target state evaluation index) whose index score is greater than the index score threshold, its index weight is increased, thereby increasing the potential impact of the state evaluation index on the transformer performance state, so as to highlight its warning function and decision-making importance.

[0070] Optionally, a more accurate assessment of the transformer status can be achieved by adjusting the weights based on the current indicator scores of each status assessment indicator. During the assessment process, the dynamic change of weights ensures sensitivity to abnormal indicators, helps to detect potential faults early, reduces the operating risks of equipment, and provides more reliable data support for preventive maintenance and fault diagnosis.

[0071] As an optional implementation manner, step S103, determining the membership values ​​corresponding to the multiple state evaluation indicators respectively, includes: determining the membership functions corresponding to the multiple state evaluation indicators respectively; based on the membership functions, converting the indicator scores corresponding to the multiple state evaluation indicators respectively into membership values.

[0072] In this embodiment, the membership function is a mathematical tool used to quantify the relationship between the state assessment index and a specific health level. In fuzzy logic, the membership function describes the degree to which the value of a quantity belongs to a fuzzy set, that is, the membership. For the state assessment of the transformer, each health level (such as normal, sub-healthy, faulty) can be regarded as a fuzzy set, and the value of the state assessment index (such as oil temperature, partial discharge) is used to calculate its membership to these fuzzy sets.

[0073] Optionally, the design of the membership function is usually based on a deep understanding of the characteristics of the indicator and the level of transformer health status. For example, an increase in oil temperature is usually associated with a deterioration in the health of the transformer, so the membership function of oil temperature may be designed as a function that increases with the increase in oil temperature value. Conversely, a decrease in certain indicators such as insulation resistance may mean a deterioration in health status, so its membership function may be proportional to the decrease in value.

[0074] Optionally, after the membership function is determined, real-time measurements of various status evaluation indicators from the transformer can be collected, which may come from online monitoring systems, offline detection data, or historical operation records. Afterwards, the data is preprocessed as necessary, such as data cleaning and normalization, to ensure the accuracy of the evaluation.

[0075] Optionally, after collecting the real-time measurement values ​​of various state evaluation indicators from the transformer, the collected real-time measurement values ​​of the various state evaluation indicators may be scored, and the indicator scores may be converted into membership values ​​using the previously determined membership function.

[0076] Optionally, the membership value conversion follows the definition of the membership function, mapping the numerical value or score of the indicator to a continuous value between 0 and 1, indicating the degree of consistency between the indicator state and a specific health level. 0 means that it does not belong to the state at all, and 1 means that it belongs to the state completely. Through this conversion, the state tendency of the transformer at each health level can be systematically and quantitatively reflected, thereby providing data support for comprehensive evaluation.

[0077] Optionally, through this step, the scores of the condition evaluation indicators are scientifically converted into membership values, which is helpful for the subsequent construction of the indicator evaluation matrix and the comprehensive evaluation of the transformer status.

[0078] As an optional implementation, step S104, based on the indicator weights corresponding to the multiple state evaluation indicators, and the membership values ​​corresponding to the multiple state evaluation indicators, constructs an indicator evaluation matrix, including: determining the column elements of the indicator evaluation matrix based on the indicator weights corresponding to the multiple state evaluation indicators, and determining the row elements of the indicator evaluation matrix based on the membership values ​​corresponding to the multiple state evaluation indicators, or determining the row elements of the indicator evaluation matrix based on the indicator weights corresponding to the multiple state evaluation indicators, and determining the column elements of the indicator evaluation matrix based on the membership values ​​corresponding to the multiple state evaluation indicators.

[0079] In this embodiment, the column elements of the indicator evaluation matrix generally represent the weights of the evaluation indicators, that is, the indicator weights corresponding to the various state evaluation indicators. This indicates that each column of the matrix corresponds to a state evaluation indicator, and the weight value reflects the relative importance of the indicator in the comprehensive evaluation system.

[0080] Optionally, the row elements of the indicator evaluation matrix usually contain the membership values ​​corresponding to the various status evaluation indicators, that is, the degree of consistency between the indicator status and different health status levels (such as "normal", "warning", "fault", etc.). This means that each row of the matrix corresponds to a health status level, and the elements in the row are the membership of each indicator under the level, reflecting the consistency of the indicator status with the health level.

[0081] Optionally, when constructing an indicator evaluation matrix by determining the column elements of the indicator evaluation matrix based on the indicator weights corresponding to the multiple state evaluation indicators, and determining the row elements of the indicator evaluation matrix based on the membership values ​​corresponding to the multiple state evaluation indicators, each column of the indicator evaluation matrix represents a state evaluation indicator, and the elements in the column are the weight values ​​of the indicator. Each row represents a health status level, and the elements in the row are the membership values ​​of all indicators to this level. Each element in the matrix is ​​a weighted membership value obtained by multiplying the indicator weight by the membership of the indicator to a specific health level, thereby reflecting the comprehensive influence of a specific indicator on a specific health status.

[0082] Optionally, when constructing an indicator evaluation matrix by determining the row elements of the indicator evaluation matrix based on the indicator weights corresponding to the multiple state evaluation indicators, and determining the column elements of the indicator evaluation matrix based on the membership values ​​corresponding to the multiple state evaluation indicators, the rows of the indicator evaluation matrix represent the state evaluation indicators, and the elements in the rows are the weight values ​​of the indicators. The columns of the matrix represent the health status level, and the elements in the columns are the membership values ​​of all indicators to this health level. The elements in the matrix are also obtained by multiplying the weights and the membership, but the organization method is opposite to the previous method.

[0083] Optionally, no matter which method is used to construct the indicator evaluation matrix, its core purpose is to combine the indicator weights and membership values ​​to reflect the comprehensive health status of the transformer in a systematic way.

[0084] Optionally, the indicator evaluation matrix integrates the status evaluation indicator information in the scattered multi-source heterogeneous data to facilitate comprehensive evaluation; through the construction of the matrix, the membership of the subjective evaluation and the objective weight of the indicator are combined to achieve a quantitative evaluation of the health status of the transformer; the weighted membership value in the indicator evaluation matrix directly reflects the status of the transformer at each health status level, providing a scientific basis for decisions such as fault diagnosis and maintenance strategy formulation.

[0085] As an optional implementation, step S105, based on the indicator evaluation matrix, evaluates the performance status of the transformer, including: determining the comprehensive membership corresponding to multiple status evaluation indicators based on the indicator evaluation matrix; and determining the performance status of the transformer based on the comprehensive membership.

[0086] In this embodiment, the comprehensive membership refers to integrating the membership values ​​of all state evaluation indicators in the indicator evaluation matrix into an overall evaluation result through weighting and fuzzy logic operations.

[0087] Optionally, each element in the indicator evaluation matrix represents the membership value of a certain state evaluation indicator (such as oil chromatography analysis, partial discharge, etc.) under a specific performance state level (such as "good", "warning", "fault"). This value reflects the degree of match between the indicator state and the health state level.

[0088] Optionally, each column of the indicator evaluation matrix (representing a health status level) is weighted and summed, and the obtained weight reflects the importance of the corresponding status evaluation indicator in the overall evaluation.

[0089] Optionally, the comprehensive membership of the transformer at each performance status level is obtained through weighted summation / or other fuzzy logic operations (such as fuzzy AND, fuzzy OR). This process is a comprehensive consideration of all evaluation indicators, ensuring the comprehensiveness and accuracy of the evaluation results.

[0090] Optionally, after obtaining the comprehensive membership, the current performance state of the transformer can be determined by comparing the comprehensive membership values ​​of each health status level. For example, a threshold value of each health status level is set, or the maximum membership principle is adopted, that is, the performance state of the transformer is determined by the health status level with the highest comprehensive membership value. For example, if the comprehensive membership of the "warning" state is the highest, then the transformer may be currently in the "warning" state.

[0091] Optionally, based on the comprehensive membership, the status of the transformer is divided into different levels, such as "good", "warning", "fault", etc. Each level represents a different stage of the transformer performance status, which helps to diagnose problems and formulate maintenance strategies in more detail.

[0092] Optionally, the comprehensive membership provides a quantitative and dynamic transformer performance status evaluation result. Based on the comprehensive membership, the performance status of the transformer can be determined, thereby providing a scientific basis for transformer health management, fault diagnosis and maintenance decisions. Compared with traditional evaluation methods, the accuracy and comprehensiveness of the evaluation are greatly improved.

[0093] According to an embodiment of the present invention, a transformer status evaluation device is also provided. It should be noted that the transformer status evaluation device can be used to execute the transformer status evaluation method in the embodiment.

[0094] Figure 2 Schematic diagram of a transformer status evaluation device according to an embodiment of the present invention. Figure 2As shown, the transformer status evaluation device 200 may include: an acquisition unit 201 , a first determination unit 202 , a second determination unit 203 , a construction unit 204 and an evaluation unit 205 .

[0095] The acquisition unit 201 is used to acquire multi-source heterogeneous state data of the transformer, wherein the multi-source heterogeneous state data is state data of the transformer in multiple dimensions.

[0096] The first determining unit 202 is used to determine a plurality of status evaluation indicators for performing status evaluation on the transformer from multi-source heterogeneous status data.

[0097] The second determination unit 203 is used to determine the indicator weights corresponding to the multiple state evaluation indicators, and to determine the membership values ​​corresponding to the multiple state evaluation indicators, wherein the indicator weights are used to characterize the importance of the corresponding state evaluation indicators to the evaluation of the performance state of the transformer, and the membership values ​​are used to characterize the correlation between the indicator state of the corresponding state evaluation indicator and the performance state of the transformer.

[0098] The construction unit 204 is used to construct an indicator evaluation matrix based on the indicator weights corresponding to the multiple state evaluation indicators and the membership values ​​corresponding to the multiple state evaluation indicators.

[0099] The evaluation unit 205 is used to evaluate the performance status of the transformer based on the indicator evaluation matrix.

[0100] Optionally, the acquisition unit 201 is also used to: obtain the equipment information of the transformer, the online monitoring data of the transformer, the historical operation records of the transformer, and the environmental parameters of the environment in which the transformer is located through the transformer monitoring equipment, the operation and maintenance management system of the transformer, and the historical data records of the transformer; integrate the equipment information of the transformer, the online monitoring data of the transformer, the historical operation records of the transformer, and the environmental parameters of the environment in which the transformer is located to obtain multi-source heterogeneous state data of the transformer.

[0101] Optionally, the first determination unit 202 is also used to: determine performance indicators for transformer status evaluation based on equipment information in multi-source heterogeneous status data, wherein the performance indicators are used to evaluate the electrical performance and internal conditions of the transformer; determine operating indicators for transformer status evaluation based on online monitoring data in the multi-source heterogeneous status data, wherein the operating indicators are used to evaluate the performance of the transformer under actual operating conditions; determine historical indicators for transformer status evaluation based on historical operating records in the multi-source heterogeneous status data, wherein the historical indicators are used to evaluate the changing trend of the performance status of the transformer; determine environmental indicators for transformer status evaluation based on environmental parameters in the multi-source heterogeneous status data, wherein the environmental indicators are used to evaluate the degree of influence of environmental factors on the transformer status.

[0102] Optionally, the second determination unit 203 is also used to: determine the degree of influence of multiple state evaluation indicators on the performance state of the transformer; determine the initial indicator weight corresponding to each state evaluation indicator based on the degree of influence of each state evaluation indicator on the performance state of the transformer; adjust the initial indicator weight corresponding to each state evaluation indicator based on the indicator score currently corresponding to each state evaluation indicator to obtain the target indicator weight of each state evaluation indicator, wherein the indicator score currently corresponding to each state evaluation indicator is used to characterize the evaluation result of each state evaluation indicator on the current state of the specific function of the transformer.

[0103] Optionally, the second determination unit 203 is also used to: compare the indicator score currently corresponding to each state evaluation indicator with the indicator score threshold to obtain a comparison result; in response to the comparison result indicating that the indicator score currently corresponding to the target state evaluation indicator is greater than the indicator score threshold, increase the indicator weight of the target state evaluation indicator.

[0104] Optionally, the second determining unit 203 is further configured to: determine membership functions corresponding to the multiple state evaluation indicators respectively; and convert the indicator scores corresponding to the multiple state evaluation indicators respectively into membership values ​​based on the membership functions.

[0105] Optionally, the construction unit 204 is also used to: determine the column elements of the indicator evaluation matrix based on the indicator weights corresponding to the multiple state evaluation indicators, and determine the row elements of the indicator evaluation matrix based on the membership values ​​corresponding to the multiple state evaluation indicators, or determine the row elements of the indicator evaluation matrix based on the indicator weights corresponding to the multiple state evaluation indicators, and determine the column elements of the indicator evaluation matrix based on the membership values ​​corresponding to the multiple state evaluation indicators.

[0106] Optionally, the evaluation unit 205 is further configured to: determine comprehensive memberships corresponding to a plurality of status evaluation indicators based on the evaluation matrix; and determine the performance status of the transformer based on the comprehensive memberships.

[0107] In this embodiment, by acquiring multi-source heterogeneous data of the transformer and extracting multiple evaluation indicators of the transformer from the multi-source heterogeneous data, the comprehensiveness of the evaluation indicators for evaluating the performance status of the transformer can be ensured, avoiding the limitations and one-sidedness that may be brought about by the evaluation of a single data source, thereby improving the accuracy of the performance status evaluation of the transformer and further solving the technical problem of accurately evaluating the performance status of the transformer.

[0108] According to an embodiment of the present invention, a computer-readable storage medium is further provided. The storage medium includes a stored program, wherein the program executes the transformer status evaluation method in the embodiment.

[0109] According to an embodiment of the present invention, a processor is further provided. The processor is used to run a program, wherein the transformer state evaluation method in the embodiment is executed when the program is run.

[0110] According to another aspect of the embodiments of the present invention, a computer program product is provided, which includes computer instructions, and when the computer instructions are executed by a processor, the method for evaluating the transformer state in the embodiments is implemented.

[0111] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0112] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0113] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0114] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0115] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0116] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent functional component, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software functional component, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, Read-Only Memory (ROM), Random Access Memory (RAM), mobile hard disk, magnetic disk or optical disk, etc., various media that can store program codes.

[0117] The above are only preferred embodiments of the present invention. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for evaluating transformer status, characterized in that: include: Acquire multi-source heterogeneous state data of the transformer, wherein the multi-source heterogeneous state data is state data of the transformer in multiple dimensions; Determining a plurality of status evaluation indicators for evaluating the status of the transformer from the multi-source heterogeneous status data; Determine the indicator weights corresponding to the multiple state evaluation indicators respectively, and determine the membership values ​​corresponding to the multiple state evaluation indicators respectively, wherein the indicator weights are used to characterize the importance of the corresponding state evaluation indicators to the evaluation of the performance state of the transformer, and the membership values ​​are used to characterize the degree of association between the indicator state of the corresponding state evaluation indicator and the performance state of the transformer; Constructing an indicator evaluation matrix based on the indicator weights respectively corresponding to the multiple state evaluation indicators and the membership values ​​respectively corresponding to the multiple state evaluation indicators; Based on the indicator evaluation matrix, the performance status of the transformer is evaluated.

2. The method according to claim 1, characterized in that Obtain multi-source heterogeneous status data of transformers, including: Obtaining equipment information of the transformer, online monitoring data of the transformer, historical operation records of the transformer, and environmental parameters of the environment in which the transformer is located through the monitoring equipment of the transformer, the operation and maintenance management system of the transformer, and the historical data records of the transformer; The equipment information of the transformer, the online monitoring data of the transformer, the historical operation record of the transformer, and the environmental parameters of the environment in which the transformer is located are integrated to obtain the multi-source heterogeneous state data of the transformer.

3. The method according to claim 2, characterized in that Determining a plurality of status evaluation indicators for status evaluation of the transformer from the multi-source heterogeneous status data includes: Determining, based on the device information in the multi-source heterogeneous status data, a performance indicator for status evaluation of the transformer, wherein the performance indicator is used to evaluate electrical performance and internal conditions of the transformer; Based on the online monitoring data in the multi-source heterogeneous status data, determining an operating indicator for status evaluation of the transformer, wherein the operating indicator is used to evaluate the performance of the transformer under actual operating conditions; Based on the historical operation records in the multi-source heterogeneous status data, determine historical indicators for status evaluation of the transformer, wherein the historical indicators are used to evaluate the change trend of the performance status of the transformer; Based on the environmental parameters in the multi-source heterogeneous status data, an environmental indicator for evaluating the status of the transformer is determined, wherein the environmental indicator is used to evaluate the degree of influence of environmental factors on the status of the transformer.

4. The method according to claim 1, characterized in that: Determine the indicator weights of the multiple status evaluation indicators, including: Determining the influence degree of the multiple status evaluation indicators on the performance status of the transformer; Determining the initial indicator weights corresponding to each state evaluation indicator based on the influence of each state evaluation indicator on the performance state of the transformer; Based on the indicator score currently corresponding to each state evaluation indicator, the initial indicator weight corresponding to each state evaluation indicator is adjusted to obtain the target indicator weight of each state evaluation indicator, wherein the indicator score currently corresponding to each state evaluation indicator is used to characterize the evaluation result of each state evaluation indicator on the current state of the specific function of the transformer.

5. The method according to claim 4, characterized in that Based on the indicator score currently corresponding to each state evaluation indicator, the initial indicator weight corresponding to each state evaluation indicator is adjusted, including: Compare the indicator score currently corresponding to each state evaluation indicator with the indicator score threshold to obtain a comparison result; In response to the comparison result indicating that the indicator score currently corresponding to the target state evaluation indicator is greater than the indicator score threshold, the indicator weight of the target state evaluation indicator is increased.

6. The method according to claim 1, characterized in that Determining the membership values ​​corresponding to the multiple status evaluation indicators respectively includes: Determine the membership functions corresponding to the multiple status evaluation indicators respectively; Based on the membership function, the indicator scores corresponding to the multiple status evaluation indicators are converted into membership values.

7. The method according to claim 1, characterized in that Based on the indicator weights respectively corresponding to the multiple state evaluation indicators and the membership values ​​respectively corresponding to the multiple state evaluation indicators, an indicator evaluation matrix is ​​constructed, including: Determine the column elements of the indicator evaluation matrix based on the indicator weights respectively corresponding to the multiple state evaluation indicators, and determine the row elements of the indicator evaluation matrix based on the membership values ​​respectively corresponding to the multiple state evaluation indicators, or, The row elements of the indicator evaluation matrix are determined based on the indicator weights respectively corresponding to the multiple state evaluation indicators, and the column elements of the indicator evaluation matrix are determined based on the membership values ​​respectively corresponding to the multiple state evaluation indicators.

8. The method according to claim 1, characterized in that Based on the indicator evaluation matrix, evaluating the performance status of the transformer includes: Based on the evaluation matrix, determining the comprehensive membership corresponding to the multiple status evaluation indicators; A performance status of the transformer is determined based on the comprehensive membership.

9. A transformer status evaluation device, characterized in that: include: An acquisition unit, configured to acquire multi-source heterogeneous state data of a transformer, wherein the multi-source heterogeneous state data is state data of the transformer in multiple dimensions; A first determining unit, configured to determine, from the multi-source heterogeneous state data, a plurality of state assessment indicators for assessing the state of the transformer; A second determination unit is used to determine the indicator weights corresponding to the multiple state evaluation indicators respectively, and to determine the membership values ​​corresponding to the multiple state evaluation indicators respectively, wherein the indicator weights are used to characterize the importance of the corresponding state evaluation indicators to the evaluation of the performance state of the transformer, and the membership values ​​are used to characterize the degree of association between the indicator state of the corresponding state evaluation indicator and the performance state of the transformer; A construction unit, configured to construct an indicator evaluation matrix based on the indicator weights respectively corresponding to the multiple state evaluation indicators and the membership values ​​respectively corresponding to the multiple state evaluation indicators; An evaluation unit is used to evaluate the performance status of the transformer based on the indicator evaluation matrix.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed by a processor, the device where the storage medium is located is controlled to execute the method according to any one of claims 1 to 8.

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