State detection method and device of magnetic control transformer and electronic equipment

Abstract

The invention discloses a magnetically controlled transformer state detection method, a magnetically controlled transformer state detection device and electronic equipment. The method comprises the following steps: constructing a state index of the magnetic control transformer according to a structure parameter and an electromagnetic parameter of the magnetic control transformer; target weights of the state indexes are determined, and the target weights are used for representing the importance degree of the state indexes in the state detection scene of the magnetic control transformer; attribute conversion is carried out on state data corresponding to the state indexes to obtain attribute parameters, the attribute conversion is used for converting the state data into parameters with preset attributes, and the attribute parameters are used for representing the parameters with the preset attributes; and performing state detection on the magnetically controlled transformer based on the attribute parameter and the target weight to obtain a state detection result, the state detection result being used for indicating whether the magnetically controlled transformer is in a normal operation state. According to the invention, the technical problem of low detection accuracy of the magnetic control transformer in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the field of transformers, and in particular to a state detection method, device and electronic equipment for a magnetically controlled transformer. Background Art

[0002] In the new power system, the random voltage fluctuations caused by power supply and load fluctuations, as well as the increase in capacitive reactive power consumption caused by cable applications, have put forward higher requirements for the voltage support and reactive power compensation capabilities of the power grid. Traditional reactive voltage control technology, whether it is a passive compensation system or an active compensation device based on power electronics, has limitations. The former occupies a large area and has limited compensation effects. Although the latter has strong dynamic adjustment capabilities, it has outstanding reliability, cost and electromagnetic compatibility issues, making it difficult to meet the needs of the current power system.

[0003] As an emerging comprehensive compensation device, the Magnetically Controlled Distribution Transformer (MCDT) combines the functions of transformers and magnetron reactors, has dynamic reactive power regulation and voltage control capabilities, and has become an important solution in power systems. However, the state evaluation technology of MCDT has lagged behind, and there is a lack of systematic methods to effectively evaluate its working effect.

[0004] The evaluation methods for magnetically controlled distribution transformers in related technologies mainly include state evaluation methods based on thresholds or expert experience, machine learning state evaluation methods based on big data, and state evaluation methods based on uncertainty reasoning. However, the above methods are too absolute in threshold setting and require a large amount of sample data, while very little state parameter data can be provided in actual engineering. Therefore, there is a high false alarm rate and missed alarm rate, which leads to a low detection accuracy of magnetically controlled transformers in related technologies.

[0005] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0006] The embodiments of the present invention provide a method, a device and an electronic device for detecting the state of a magnetically controlled transformer, so as to at least solve the technical problem of low detection accuracy of the magnetically controlled transformer in the related art.

[0007] According to one aspect of an embodiment of the present invention, a state detection method for a magnetically controlled transformer is provided, comprising: constructing a state index of the magnetically controlled transformer according to structural parameters and electromagnetic parameters of the magnetically controlled transformer; determining a target weight of the state index, wherein the target weight is used to indicate the importance of the state index in a state detection scenario of the magnetically controlled transformer; performing attribute conversion on state data corresponding to the state index to obtain attribute parameters, wherein the attribute conversion is used to indicate conversion of the state data into parameters with preset attributes, and the attribute parameters are used to indicate parameters with preset attributes; performing state detection on the magnetically controlled transformer based on the attribute parameters and the target weight to obtain a state detection result, wherein the state detection result is used to indicate whether the magnetically controlled transformer is in a normal operating state.

[0008] Furthermore, the state of the magnetically controlled transformer is detected based on the attribute parameters and the target weight to obtain the state detection result, including: determining the correlation between the state indicator and multiple state levels based on the attribute parameters, wherein different state levels correspond to the operating states of the magnetically controlled transformer at different intensities; determining the target state level corresponding to the state indicator based on the correlation, wherein the target state level includes preset state parameters corresponding to the target state level; detecting the state indicator based on the preset state parameters and the target weight to obtain the state detection result.

[0009] Further, determining the correlation between the state indicator and multiple state levels based on the attribute parameters includes: obtaining preset attribute parameters corresponding to the multiple state levels; and determining the correlation between the state indicator and the multiple state levels based on the similarity between the attribute parameters and the preset attribute parameters.

[0010] Furthermore, the state indicator includes a first state indicator and a second state indicator, and the state indicator of the magnetically controlled transformer is constructed according to the structural parameters and electromagnetic parameters of the magnetically controlled transformer, including: determining the voltage regulation capability of the magnetically controlled transformer based on the structural parameters, and determining the output reactive capacity of the magnetically controlled transformer based on the electromagnetic parameters, wherein the output reactive capacity is used to represent the maximum capability of the magnetically controlled transformer to provide reactive power to the power system; determining the first state indicator based on the voltage regulation capability and the output reactive capacity; and determining the second state indicator based on the structural parameters.

[0011] Furthermore, determining a target weight of the state indicator includes: normalizing the voltage regulation capability and the output reactive capacity to obtain first state data; determining a first weight of the first state indicator based on the first state data and first preset state data of the first state indicator, wherein the first weight is used to represent the weight of the first state indicator in the state detection scenario of the magnetically controlled transformer; receiving multiple feedback weights for the second state indicator, and determining a second weight of the second state indicator based on the multiple feedback weights, wherein different feedback weights are obtained by feedback from different users, and the second weight is used to represent the weight of the second state indicator in the state detection scenario of the magnetically controlled transformer; and determining a target weight based on the first weight and / or the second weight.

[0012] Furthermore, the target weight is determined based on the first weight and the second weight, including: taking variance minimization as the goal, constructing a weighted integrated model based on the first weight, the second weight and multiple weighting strategies; solving the weighted integrated model to obtain the target weight.

[0013] Furthermore, determining the second weight of the second state indicator based on multiple feedback weights includes: constructing a first weight matrix based on the multiple feedback weights and the second state indicator; sorting the multiple feedback weights in the first weight matrix based on the second state indicator to obtain a second weight matrix; determining the position weights of the multiple feedback weights based on the sorting positions of the multiple feedback weights in the second weight matrix; and determining the second weight based on the position weight and the second weight matrix.

[0014] According to another aspect of an embodiment of the present invention, a state detection device for a magnetically controlled transformer is also provided, comprising: a construction module, used to construct a state index of the magnetically controlled transformer according to the structural parameters and electromagnetic parameters of the magnetically controlled transformer; a determination module, used to determine a target weight of the state index, wherein the target weight is used to indicate the importance of the state index in the state detection scenario of the magnetically controlled transformer; a conversion module, used to perform attribute conversion on state data corresponding to the state index to obtain attribute parameters, wherein the attribute conversion is used to indicate the conversion of the state data into parameters with preset attributes, and the attribute parameters are used to indicate parameters with preset attributes; a detection module, used to perform state detection on the magnetically controlled transformer based on the attribute parameters and the target weight to obtain a state detection result, wherein the state detection result is used to indicate whether the magnetically controlled transformer is in a normal operating state.

[0015] According to another aspect of an embodiment of the present invention, there is further provided an electronic device, comprising: a memory storing an executable program; and a processor for running the program, wherein the method in each embodiment of the present invention is executed when the program is running.

[0016] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium includes a stored executable program, wherein when the executable program is running, the device where the computer-readable storage medium is located is controlled to execute the methods in various embodiments of the present invention.

[0017] According to another aspect of an embodiment of the present invention, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the method in each embodiment of the present invention is implemented.

[0018] In an embodiment of the present invention, first, a state index of a magnetically controlled transformer is constructed according to the structural parameters and electromagnetic parameters of the magnetically controlled transformer; then, a target weight of the state index is determined; then, the state data corresponding to the state index is attributed and attribute parameters are obtained; finally, the state of the magnetically controlled transformer is detected based on the attribute parameters and the target weight to obtain a state detection result. It is easy to notice that the target weight is used to indicate the importance of the state index in the state detection scenario of the magnetically controlled transformer. The present application determines the target weight of the state index, and then focuses on the state index with a higher degree of importance in the state detection scenario according to the target weight, and then detects the magnetically controlled transformer in combination with the target weight and the attribute parameters, thereby achieving the purpose of comprehensive detection of the magnetically controlled transformer, thereby achieving the technical effect of improving the detection accuracy of the magnetically controlled transformer, and thus solving the technical problem of low detection accuracy of the magnetically controlled transformer in the related technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] 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:

[0020] Figure 1 is a flow chart of a method for detecting a state of a magnetically controlled transformer according to an embodiment of the present invention;

[0021] Figure 2 is a structural diagram of a magnetically controlled transformer according to an embodiment of the present invention;

[0022] Figure 3 is an equivalent circuit diagram of a magnetically controlled transformer according to an embodiment of the present invention;

[0023] Figure 4 is a schematic diagram of a magnetic valve model of a magnetically controlled transformer according to an embodiment of the present application;

[0024] Figure 5 is a schematic diagram of a state detection device for a magnetically controlled transformer according to an embodiment of the present invention. DETAILED DESCRIPTION

[0025] 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.

[0026] 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, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0027] According to an embodiment of the present invention, an embodiment of a state detection method of a magnetically controlled transformer 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.

[0028] Figure 1 is a flow chart of a method for detecting the state of a magnetically controlled transformer according to an embodiment of the present invention. Figure 1 As shown, the method comprises the following steps:

[0029] Step S102: constructing a state index of the magnetic control transformer according to the structural parameters and electromagnetic parameters of the magnetic control transformer.

[0030] The above-mentioned magnetically controlled transformer may refer to a transformer that utilizes controlled magnetic field to realize voltage conversion and power transmission. The functions of the magnetically controlled transformer include but are not limited to voltage conversion, power transmission, and improving the electromagnetic compatibility of the system. The types of magnetically controlled transformers may include but are not limited to magnetron transformers, magnetically controlled current transformers, magnetically controlled voltage transformers, and magnetically controlled power transformers. The specific type of magnetically controlled transformer may be determined according to system requirements and is not limited here.

[0031] The above-mentioned structural parameters may refer to relevant parameters that affect the structure of the magnetically controlled transformer. The structural parameters may include but are not limited to the number of core columns, the number of turns of the winding, the length of the magnetic valve part, etc. The specific structural parameters need to be determined according to the actual structure of the magnetically controlled transformer. No limitation is made here. The structural parameters can be used to determine the specific structure of the magnetically controlled transformer.

[0032] The above-mentioned electromagnetic parameters may refer to relevant parameters that affect the voltage regulation capability and reactive power compensation characteristics of the magnetically controlled transformer. The electromagnetic parameters may include but are not limited to core magnetic permeability, power supply voltage, load side voltage, magnetic induction intensity, line inductance and resistance, etc. The specific electromagnetic parameters need to be determined according to the actual structure of the magnetically controlled transformer and are not limited here. The electromagnetic parameters can be used to change the magnetic permeability, voltage regulation capability, etc. of the magnetically controlled transformer.

[0033] The above-mentioned status indicators may refer to key parameters used to evaluate the operating status, performance and health of the magnetic control transformer. The status indicators may include but are not limited to output reactive power capacity, magnetic saturation degree, total magnetic permeability and volume, etc. The specific status indicators need to be determined according to the state of the magnetic control transformer being investigated, and are not limited here. The role of the status indicators may include but are not limited to understanding the operating status of the magnetic control transformer, timely discovering potential problems, and facilitating equipment maintenance, etc.

[0034] In an optional embodiment, through quantitative analysis of the structural parameters and electromagnetic parameters of the magnetic control transformer, state indicators of the magnetic control transformer can be constructed, such as output reactive capacity, total magnetic permeability, magnetic saturation degree and excitation inductance, etc. These state indicators can reflect the operating state and performance of the magnetic control transformer under specific conditions, which is of great significance for evaluating the reliability of the magnetic control transformer and optimizing its design and operation strategy.

[0035] Figure 2 is a structural diagram of a magnetically controlled transformer according to an embodiment of the present invention, such as Figure 2 As shown, 202 represents the core column 1, 204 represents the core column 2, 206 represents the core column 3, 208 represents the core column 4, 210 represents the low-voltage coil, 212 represents the high-voltage coil, 214 represents the diode, represents the load voltage, represents sinusoidal AC voltage, TH1 represents thyristor 1, and TH2 represents thyristor 2.

[0036] exist Figure 2In the structure diagram of the magnetically controlled transformer shown, the magnetically controlled transformer is composed of a magnetically saturated reactor and a transformer connected together. N / 2 turns of coils are wound around the upper and lower parts of the core column 1 and the core column 2. The upper coil of the core column 1 has a tap, which is connected to the head end of the lower coil through the thyristor TH1. Similarly, the lower coil of the core column 2 also has a tap, which is connected to the end of the upper coil through the thyristor TH2. The upper and lower coils of the core column 1 and the core column 2 are cross-connected, and a diode D is connected between the upper coils of the core column 1 and the core column 2 to achieve continuous current flow. The core column 1 and the core column 2 and their corresponding coils constitute part of the magnetically saturated reactor. The N turns of coils wound around the core column 3 constitute the transformer part. The upper coil of the core column 3 is a low-voltage coil, and the two ends are connected to the load, so the middle of the two ends is the load voltage. The lower coil is a high-voltage coil, one end of which is connected to the first end of the upper coil of the core column 1 and 2, and the other end is connected to the sinusoidal AC power supply of the power grid, so the middle of the two ends is a sinusoidal AC voltage. .

[0037] Figure 3 is an equivalent circuit diagram of a magnetically controlled transformer according to an embodiment of the present invention, such as Figure 3 As shown, the equivalent circuit diagram includes: power supply voltage , Current , Line resistance , line inductance , 4 core columns, 1 diode, 2 thyristors, a high-voltage coil, and a low-voltage coil, wherein the 4 core columns include core column 1, core column 2, core column 3, and core column 4, and the 2 thyristors include thyristor TH1 and thyristor TH2.

[0038] Figure 3 yes Figure 2 The equivalent circuit diagram of the magnetron transformer is shown in Figure 3 The thyristor TH1 and thyristor TH2 are turned on alternately, so that the core column 1 and the core column 2 experience the increase and decrease of the magnetic field alternately. By adjusting the thyristor conduction angle, the DC control current can be changed. The size of the magnetic saturation reactor changes, thereby changing the magnetic saturation degree of the magnetic saturation reactor and changing the line inductance. , thus affecting the equivalent reactance value. This will cause the voltage shared across the reactor to change, and at the same time, the voltage across the high-voltage winding as part of the transformer will also change, thereby achieving continuous regulation of the output voltage.

[0039] Therefore, the magnetic saturation reactor in the magnetically controlled transformer can be regarded as a variable reactance, and its reactance value changes with the change of the thyristor conduction angle. Its calculation formula is as follows:

[0040] ;

[0041] In the formula, is the load side voltage, is the supply voltage, is the secondary voltage, is the primary side voltage, is the voltage drop on the source line, is the number of turns on the primary side, is the number of secondary turns, is the turns ratio.

[0042] Step S104, determining a target weight of the state indicator, wherein the target weight is used to indicate the importance of the state indicator in a state detection scenario of the magnetically controlled transformer.

[0043] The above-mentioned target weight may refer to the numerical value assigned to each state indicator during the state detection and evaluation process of the magnetic control transformer, which is used to indicate the importance of the indicator in evaluating the overall state. The role of the target weight may include but is not limited to quantifying the importance of the state indicator, optimizing the detection model, etc.

[0044] The above-mentioned state detection scenario may refer to an environment or condition for state detection and evaluation of a magnetically controlled transformer under specific operating conditions. The state detection scenario may include but is not limited to the operating state of the magnetically controlled transformer under different loads, different ambient temperatures, and power grid fluctuations. The role of the state detection scenario may include but is not limited to helping to specifically evaluate the performance and health of the magnetically controlled transformer under specific operating conditions, thereby more accurately identifying potential problems and optimizing operating strategies.

[0045] In an optional embodiment, by determining the target weight of the status indicator, the importance of different status indicators in the status detection scenario of the magnetic control transformer can be clarified, which helps to accurately evaluate the operating status of the magnetic control transformer in the status detection scenario, and provide key decision-making basis for power system maintenance personnel, ensuring the stable operation of the power system and the long-term reliability of the magnetic control transformer equipment.

[0046] Step S106, performing attribute conversion on the state data corresponding to the state indicator to obtain attribute parameters, wherein the attribute conversion is used to indicate that the state data is converted into parameters with preset attributes, and the attribute parameters are used to indicate parameters with preset attributes.

[0047] The above-mentioned status data may refer to specific measurement values ​​corresponding to the status indicators obtained from the operating status of the magnetically controlled transformer. The types of status data may include but are not limited to temperature readings, voltage and current measurement values, and magnetic induction intensity measurement values. The specific status data needs to be determined based on actual needs and the status of the magnetically controlled transformer, and is not limited here. The role of the status data may include but is not limited to providing raw data for status analysis and attribute conversion, providing a basis for fault diagnosis, performance evaluation and maintenance decisions, etc.

[0048] The above-mentioned attribute parameters may refer to the attribute conversion of the state data so that it has specific attributes and dimensions, so as to be used as input or comparison parameters in the state assessment model. The types of attribute parameters may include but are not limited to temperature attribute parameters, voltage and current attribute parameters, and magnetic induction attribute parameters. The specific attribute parameters are determined in correspondence with the state data and are not limited here. The role of the attribute parameters may include but is not limited to presenting the operating status of the magnetically controlled transformer in a standardized form to facilitate comparison and analysis.

[0049] The above-mentioned preset attributes may refer to standardized features set for attribute parameters during the attribute conversion process. The preset attributes may include but are not limited to expected value, entropy and super entropy. The role of the preset attributes may include but is not limited to providing evaluation criteria for attribute parameters, so that attribute parameters after conversion of different state data can be compared and analyzed on the same scale, thereby improving the accuracy and objectivity of state assessment.

[0050] In an optional embodiment, by predetermining preset attributes, the state data corresponding to the state index is converted into attributes according to the preset attributes to obtain attribute parameters. This process presents the operating state of the magnetic control transformer in a unified and standardized attribute parameter form through attribute conversion, which is convenient for establishing an evaluation model and dividing the state level, thereby realizing accurate evaluation and maintenance decision-making of the operating state of the magnetic control transformer.

[0051] Step S108, performing state detection on the magnetic control transformer based on the attribute parameters and the target weight to obtain a state detection result, wherein the state detection result is used to indicate whether the magnetic control transformer is in a normal operating state.

[0052] The above-mentioned state detection may refer to the process of continuously or periodically monitoring and analyzing the operating state of the magnetically controlled transformer using attribute parameters and preset target weights. The role of state detection may include but is not limited to fault warning, performance evaluation, state detection and operation and maintenance decision support.

[0053] The above-mentioned status detection result may refer to a comprehensive evaluation of the operating status of the magnetic control transformer. The status detection result reflects whether the magnetic control transformer is in a normal operating state. The types of status detection results may include but are not limited to normal operating state, fault state, warning state, etc. The specific status detection result needs to be determined according to the actual operating state of the magnetic control transformer, which is not limited here. The role of the status detection result may include but is not limited to clearly indicating the operating state of the magnetic control transformer, helping operation and maintenance personnel understand the equipment status, and providing data support for the improvement and operation strategy of the magnetic control transformer.

[0054] In an optional embodiment, the state data of the magnetically controlled transformer is analyzed and processed to obtain attribute parameters and target weights, and then the state of the magnetically controlled transformer is detected based on the attribute parameters and target weights to obtain a state detection result, which provides important guarantees for the operation and maintenance of the magnetically controlled transformer and the stability of the power system, ensures the safe operation and efficient performance of power equipment under complex working conditions, and through regular or real-time state detection, can effectively prevent and handle equipment failures, reduce unplanned shutdowns of the power system, and improve the continuity and reliability of power supply.

[0055] In an embodiment of the present invention, first, a state index of a magnetically controlled transformer is constructed according to the structural parameters and electromagnetic parameters of the magnetically controlled transformer; then, a target weight of the state index is determined; then, the state data corresponding to the state index is attributed and attribute parameters are obtained; finally, the state of the magnetically controlled transformer is detected based on the attribute parameters and the target weight to obtain a state detection result. It is easy to notice that the target weight is used to indicate the importance of the state index in the state detection scenario of the magnetically controlled transformer. The present application determines the target weight of the state index, and then focuses on the state index with a higher degree of importance in the state detection scenario according to the target weight, and then detects the magnetically controlled transformer in combination with the target weight and the attribute parameters, thereby achieving the purpose of comprehensive detection of the magnetically controlled transformer, thereby achieving the technical effect of improving the detection accuracy of the magnetically controlled transformer, and thus solving the technical problem of low detection accuracy of the magnetically controlled transformer in the related technology.

[0056] Optionally, the state of the magnetically controlled transformer is detected based on the attribute parameters and the target weight to obtain a state detection result, including: determining the correlation between the state indicator and multiple state levels based on the attribute parameters, wherein different state levels correspond to the operating states of the magnetically controlled transformer at different intensities; determining the target state level corresponding to the state indicator based on the correlation, wherein the target state level includes preset state parameters corresponding to the target state level; detecting the state indicator based on the preset state parameters and the target weight to obtain the state detection result.

[0057] The above-mentioned status level may refer to a graded description of the operating status of the magnetic control transformer, dividing the health status and performance of the magnetic control transformer into several levels, each level representing the operating status of the magnetic control transformer under different conditions, and the types of status levels may include but are not limited to strong reliability, good reliability, medium reliability, general reliability and very poor reliability, etc. The actual status level needs to be determined according to the level classification standard, which is not limited here. The role of the status level may include but is not limited to helping to quickly understand the operating status of the magnetic control transformer and facilitating operation and maintenance personnel to take timely measures, etc.

[0058] The above-mentioned correlation degree may refer to the degree of conformity of the status indicators at different status levels. The role of the correlation degree may include but is not limited to helping to identify the status indicators that have the greatest impact on the device status level, providing a quantitative basis for the analysis of status detection results, etc.

[0059] The above-mentioned target state level may refer to the level to which the operating state of the magnetically controlled transformer belongs, determined based on the correlation degree and the state index.

[0060] The above-mentioned preset state parameter may refer to a reference value or range of an attribute parameter set for each state level when defining the state level. The preset state parameter is used to determine whether a state indicator is consistent with a specific state level.

[0061] In an optional embodiment, by determining the correlation between the state indicator and multiple preset state levels, the influence of each state indicator on the operating state of the magnetic control transformer and the intrinsic connection between these influences and the operating state of the equipment at different intensities are quantified; then the target state level corresponding to the current state indicator of the magnetic control transformer is determined based on the correlation, and finally the state indicator is detected based on the preset state parameters and target weights corresponding to the target state level to obtain the state detection result. The above process can not only quantify the operating state of the magnetic control transformer, but also identify key performance indicators, providing solid technical support for real-time monitoring of equipment status, fault warning, performance optimization and maintenance decision-making.

[0062] In an optional embodiment, the state level is divided into five levels according to the golden section method and expert experience, and the expected value is the value of the center of each level, which can reflect the importance characteristics of the performance corresponding to each level. The level division is shown in Table 1, and the physical meanings corresponding to different state levels are shown in Table 2:

[0063] Table 1 Reliability evaluation status level table

[0064]

[0065] Table 2 Status levels and their physical meanings

[0066]

[0067] The preset state parameters in the assessed target state level are multiplied by the target weight to obtain the state detection result, as shown in the formula:

[0068] ;

[0069] In the formula, is the status detection result, is the target weight of the state indicator, is the preset state parameter corresponding to the state indicator, i is the number of state indicators, and j is the number of state parameters.

[0070] Optionally, determining the correlation between the status indicator and multiple status levels based on the attribute parameters includes: obtaining preset attribute parameters corresponding to the multiple status levels; and determining the correlation between the status indicator and the multiple status levels based on the similarity between the attribute parameters and the preset attribute parameters.

[0071] The above-mentioned preset attribute parameters may refer to ideal values ​​or ranges of a series of attribute parameters set for each state level. The functions of the preset attribute parameters may include but are not limited to providing an evaluation benchmark, quantifying the state level, etc.

[0072] The similarity mentioned above may refer to a quantitative index used to measure the closeness between an attribute parameter and a preset attribute parameter in state detection. The similarity reflects the matching degree between the state indicator and the preset state level parameter in terms of value or feature, and is the basis for determining the correlation degree of the indicator.

[0073] In an optional embodiment, by obtaining the similarity between the preset attribute parameters and the calculated attribute parameters, the operating status of the magnetic control transformer is quantitatively evaluated, which not only provides data support for the health management of the equipment, but also provides a scientific basis for optimizing the operating parameters and fault warning of the magnetic control transformer. Among them, the calculation of similarity and the setting of preset attribute parameters make the status detection process more systematic and precise, which helps the power system operation and maintenance personnel to make decisions quickly and accurately, and ensure the long-term stable operation of power equipment and the efficient operation of the power system.

[0074] In an optional embodiment, according to the different characteristics of each state indicator, it can be divided into positive and negative indicators, where the positive indicator is relative to the overall evaluation, the larger the better; the negative indicator is the smaller the better. Therefore, in order to unify the dimensions, the data is standardized according to the characteristics of the positive and negative indicators, and the calculation formula is as follows:

[0075] ;

[0076] In the formula, m is the number of first state indicators, n is the number of second state indicators, and x kj is the kth index in the jth column, x ij is the i-th index in the j-th column, max x kj is the maximum value of the kth index in the jth column, min x kj is the minimum value of the kth index in the jth column, l ij It represents the normalized index of the i-th row and j-th column, that is, the unified dimension of each state index.

[0077] Grey correlation analysis is a method of grey theory analysis system. Grey correlation analysis calculates the correlation degree to depict the order and size of the contribution between the state parameters, thereby determining the degree of influence between the state parameters. Grey correlation degree represents the geometric similarity of the geometric relationship curves composed of the sequence of state parameters. The smaller the similarity, the smaller the correlation, and vice versa.

[0078] Pick As the reference series, the calculation formula of grey correlation coefficient is as follows:

[0079] ;

[0080] In the formula, is the grey relational coefficient of the i-th row and j-th column, l ij is the normalized index of the i-th row and j-th column, l 0j is the reference index of the jth column, Represents the resolution coefficient, which is used to improve the significant difference between the grey correlation coefficients. In order to weaken the probability of distortion of the correlation coefficient, the general value is The above parameter values ​​are only examples. The specific parameter values ​​can be determined according to actual conditions and are not limited here.

[0081] Finally, the grey correlation degree can be obtained by averaging the grey correlation coefficient matrix. The calculation formula is as follows:

[0082] ;

[0083] In the formula, represents the grey relational degree, Represents the grey relational coefficient matrix.

[0084] The grey correlation degree is standardized to obtain the target weight to reflect the proportion of multiple state indicators to the operation effect of the magnetic control transformer. The calculation formula is as follows:

[0085] ;

[0086] In the formula, represents the grey relational degree, represents the target weight, n represents the number of state indicators, and ∑ represents the summation operation.

[0087] Optionally, the state indicator includes a first state indicator and a second state indicator, and the state indicator of the magnetically controlled transformer is constructed according to the structural parameters and electromagnetic parameters of the magnetically controlled transformer, including: determining the voltage regulation capability of the magnetically controlled transformer based on the structural parameters, and determining the output reactive capacity of the magnetically controlled transformer based on the electromagnetic parameters, wherein the output reactive capacity is used to represent the maximum capability of the magnetically controlled transformer to provide reactive power to the power system; determining the first state indicator based on the voltage regulation capability and the output reactive capacity; and determining the second state indicator based on the structural parameters.

[0088] The above-mentioned first state index may refer to an index comprehensively determined based on the voltage regulation capability and output reactive capacity of the magnetically controlled transformer. The first state index reflects the capability and efficiency of the magnetically controlled transformer in voltage control and reactive power compensation.

[0089] The above-mentioned second state indicator may refer to an indicator determined based on the structural parameters of the magnetic control transformer, and the second state indicator reflects the health status and potential problems of the equipment in terms of structure, design and manufacturing.

[0090] The above-mentioned voltage regulation capability may refer to the ability of the magnetically controlled transformer to actively adjust the output voltage to a predetermined value when faced with load changes. It is a key performance indicator of the grid voltage support and regulation equipment. The voltage regulation capability may be determined based on the total magnetic permeability and volume. The role of the voltage regulation capability may include but is not limited to ensuring the stability of the power system and the quality of power supply.

[0091] In an optional embodiment, a state index of the magnetically controlled transformer is constructed by using the structural parameters and electromagnetic parameters of the magnetically controlled transformer, including constructing a first state index according to the electromagnetic parameters and the voltage regulation capability, and constructing a second state index based on the structural parameters. The above process constructs different state indicators according to different parameters, and can timely discover performance problems and structural defects of the magnetically controlled transformer according to different evaluation indicators during the detection process, and accurately locate the problem according to the detection results, while also providing a scientific decision-making basis for operation and maintenance personnel and engineers of the power system.

[0092] In an optional embodiment, Figure 4 is a schematic diagram of a magnetic valve model of a magnetically controlled transformer according to an embodiment of the present application, such as Figure 4 As shown, 402 represents the core part, 404 represents the magnetic valve part, 406 represents the non-magnetic valve part, b represents the thickness of the core, h represents the length of the non-magnetic valve part, and lt represents the length of the magnetic valve part.

[0093] In an optional embodiment, for the magnetic control reactor part of the magnetic control transformer, its capacity is usually configured as a percentage of the main variable capacity, generally 10-30%. The magnetic induction intensity of 30Q130 silicon steel sheet is =1.8(T), the magnetic field strength =464(A / m), then the magnetic permeability after saturation is for:

[0094] ;

[0095] In the formula, Indicates magnetic permeability. The value 2.026 indicates the initial magnetic permeability of 30Q130 silicon steel sheet in the absence of a magnetic field. The value 4900 indicates the initial magnetic field strength of 30Q130 silicon steel sheet in the absence of a magnetic field. The values ​​1.8 and 464 indicate the magnetic induction strength of 30Q130 silicon steel sheet respectively. =1.8(T), the magnetic field strength =464 (A / m). The above parameter values ​​are only examples. The specific parameter values ​​can be determined according to actual conditions and are not limited here.

[0096] The total magnetic permeability of the magnetic valve area is calculated as follows:

[0097] ;

[0098] In the formula, represents the total magnetic permeability, Indicates the core thickness, represents the magnetic permeability, Indicates the length of the non-magnetic valve part, Indicates the length of the solenoid valve part, Indicates the number of solenoid valves. Represents logarithmic calculation.

[0099] The calculation formula of the output reactive capacity of the magnetic control transformer is as follows:

[0100] ;

[0101] In the formula, Represents reactive power, represents the system angular frequency, represents the voltage across the inductor, Indicates mutual induction, Indicates the system frequency, Indicates the number of coil turns, Represents the total magnetic permeability.

[0102] According to the above parameters of the magnetically controlled transformer, the output reactive capacity, total magnetic permeability and volume are used as the first state indicators, and the structural parameters such as the number of coil turns, mutual inductance, voltage across the inductor and length of the magnetic valve part are used as the second state indicators.

[0103] Optionally, determining a target weight of a state indicator includes: normalizing the voltage regulation capability and the output reactive capacity to obtain first state data; determining a first weight of the first state indicator based on the first state data and first preset state data of the first state indicator, wherein the first weight is used to represent the weight of the first state indicator in the state detection scenario of the magnetically controlled transformer; receiving multiple feedback weights for a second state indicator, and determining a second weight of the second state indicator based on the multiple feedback weights, wherein different feedback weights are obtained by feedback from different users, and the second weight is used to represent the weight of the second state indicator in the state detection scenario of the magnetically controlled transformer; and determining a target weight based on the first weight and / or the second weight.

[0104] The above-mentioned normalization process may refer to the process of converting attribute parameters of different magnitudes or units into a unified scale, so as to ensure that different indicators can be fairly compared when weights are allocated.

[0105] The first weight mentioned above may refer to the weight used to represent the first state indicator in the state detection scenario of the magnetic control transformer, that is, the objective weight.

[0106] The second weight may refer to a weight used to represent the second state indicator in the state detection scenario of the magnetic control transformer, that is, a subjective weight.

[0107] The above-mentioned first state data may refer to the data of voltage regulation capability and output reactive capacity after normalization, and the first state data reflects the real-time performance of the magnetically controlled transformer in voltage control and reactive power compensation.

[0108] The above-mentioned first preset state data may refer to an ideal state parameter value or range set for the first state indicator based on the design specifications and industry standards of the magnetic control transformer. The first preset state data reflects the voltage regulation capability and output reactive capacity of the magnetic control transformer in the optimal state.

[0109] The above-mentioned multiple feedback weights may refer to importance evaluations of the second state indicator obtained through feedback from different users, wherein the different users may include but are not limited to domain experts and the like.

[0110] Optionally, determining the target weight based on the first weight and the second weight includes: taking variance minimization as the goal, constructing a weighted integrated model based on the first weight, the second weight and multiple weighting strategies; solving the weighted integrated model to obtain the target weight.

[0111] The above-mentioned multiple weighting strategies may refer to a set of methods for assigning weights to different status indicators, aiming to reflect the relative importance of the indicators in the detection scenario. The types of weighting strategies may include but are not limited to subjective weighting method, objective weighting method and subjective and objective weighting method (combined weighting method). The specific weighting strategy needs to be determined based on actual conditions and is not limited here.

[0112] The weighted integration model may refer to a mathematical model that combines multiple weighting strategies to determine the final target weight of the state indicator with the goal of minimizing variance.

[0113] In an optional embodiment, a weighted integrated model is constructed by using the first weight, the second weight and multiple weighting strategies, and then the weighted integrated model is solved to obtain the target weight. The above process comprehensively considers the performance and structural conditions of the magnetic control transformer, as well as the weight allocation preferences under different weighting strategies, and provides a more comprehensive and accurate evaluation standard for the state detection of the magnetic control transformer.

[0114] Optionally, determining the second weight of the second state indicator based on multiple feedback weights includes: constructing a first weight matrix based on the multiple feedback weights and the second state indicator; sorting the multiple feedback weights in the first weight matrix based on the second state indicator to obtain a second weight matrix; determining the position weights of the multiple feedback weights based on the sorting positions of the multiple feedback weights in the second weight matrix; and determining the second weight based on the position weight and the second weight matrix.

[0115] The above-mentioned first weight matrix may refer to a weight matrix constructed based on feedback weights and a second state indicator. The first weight matrix may be used to provide a unified data format for subsequent weight sorting and position weight calculation, so as to facilitate processing and analysis of multiple feedback weights through mathematical operations.

[0116] The second weight matrix may refer to a matrix formed by sorting a plurality of feedback weights in the first weight matrix, and the second weight matrix may be used to determine important indicators in the second state indicators.

[0117] In an optional embodiment, the feedback weights of different users on the second state indicator are first aggregated to construct a first weight matrix; then, the feedback weights in the first weight matrix are sorted to obtain a second weight matrix; then, the position weight of each indicator is determined according to the sorting position of the feedback weight in the second weight matrix; finally, the second weight of the second state indicator is calculated based on the position weight and the second weight matrix. The above process effectively integrates the experience feedback of different users, and obtains a second weight that is closer to actual needs and professional experience through sorting and position weight calculation, ensuring the fairness and rationality of weight distribution, thereby improving the accuracy and applicability of the state detection results.

[0118] In an optional embodiment, the step of determining the target weight based on the first weight or the second weight integrates the real-time performance data and structural health status of the equipment, as well as the user's feedback on the long-term operation requirements of the equipment. The target weight determination process not only quantifies the key factors in the state detection of the magnetically controlled transformer, but also incorporates the actual needs of the user, providing the operation and maintenance personnel of the power system with more accurate state assessment results, so that more reasonable and effective maintenance strategies can be adopted to ensure the safe and stable operation of the magnetically controlled transformer under complex working conditions, thereby improving the overall efficiency and reliability of the power system.

[0119] In an optional embodiment, in order to make up for the fact that objective weighting is limited to data measurement and theoretical laws, while ignoring the expert's human opinion, it is necessary to use the role of subjective weighting method at the same time. Based on the subjective weighting method, experts use the initial weights as the decision data for evaluation to form a multi-attribute decision matrix , and then arrange the decision matrices of the four experts in descending order to obtain matrix B.

[0120] When d is an even number, the position weight vector calculation formula of the subjective weighting method is as shown in the formula:

[0121] ;

[0122] In the formula, represents the position weight vector, represents the number of experts, i represents the number growth factor, and h represents a constant.

[0123] Then, the position weight vector and the expert decision weight matrix are aggregated to obtain the evaluation subjective weight matrix as shown below:

[0124] ;

[0125] In the formula, represents the second weight, represents the position weight vector, represents the expert decision weight matrix, Represents the product operation.

[0126] In general, the evaluation results of the subjective weighting method are affected by the subjective experience of expert decision makers and have strong randomness. Although the indicator weight results obtained by the objective weighting method have a strong mathematical theoretical basis, they are limited to measured data. In order to make the weight results closer to scientificity, the combined weighting method based on the optimization algorithm organically combines the objective weight and the subjective weight, making the comprehensive weight more real and reasonable. The weighted integrated algorithm coefficient method can be used to obtain the comprehensive weight vector.

[0127] Assume that there are m methods for weighting state indicators, and the indicator weight determined by the kth method is , the calculation formula of m weighted integration weights is as follows:

[0128] ;

[0129] In the formula, represents the matrix vector weight value, represents a matrix vector, represents the vector coefficient factor, j represents the number of columns, and t represents the value of the column.

[0130] By minimizing the variance principle, the subjective weight is known. With objective weight The deviation is minimal, and the calculation formula is:

[0131] ;

[0132] In the formula, represents the subjective weight, represents the objective weight, w 1k represents the subjective weight value of the first column, w 2k represents the subjective weight value of the second column, w nk represents the subjective weight value of the nth column, w 1s represents the objective weight value of the first column, w 2s represents the objective weight value of the second column, w ns Represents the objective weight value of the nth column.

[0133] According to another aspect of an embodiment of the present invention, a state detection device for a magnetically controlled transformer is also provided. The device can execute the state detection method for the magnetically controlled transformer of the above embodiment. The specific implementation method and preferred application scenario are the same as those of the above embodiment and will not be repeated here.

[0134] Figure 5 is a schematic diagram of a state detection device for a magnetically controlled transformer according to an embodiment of the present invention. As shown in the figure, the device includes: a construction module 502 , a determination module 504 , a conversion module 506 , and a detection module 508 .

[0135] A construction module 502 is used to construct a state indicator of the magnetic control transformer based on the structural parameters and electromagnetic parameters of the magnetic control transformer; a determination module 504 is used to determine a target weight of the state indicator, wherein the target weight is used to indicate the importance of the state indicator in the state detection scenario of the magnetic control transformer; a conversion module 506 is used to perform attribute conversion on the state data corresponding to the state indicator to obtain attribute parameters, wherein the attribute conversion is used to indicate the conversion of the state data into parameters with preset attributes, and the attribute parameters are used to indicate parameters with preset attributes; a detection module 508 is used to perform state detection on the magnetic control transformer based on the attribute parameters and the target weight to obtain a state detection result, wherein the state detection result is used to indicate whether the magnetic control transformer is in a normal operating state.

[0136] Optionally, the detection module includes: a first determination unit, used to determine the correlation between the state indicator and multiple state levels based on the attribute parameters, wherein different state levels correspond to the operating states of the magnetic control transformer at different intensities; a second determination unit, used to determine the target state level corresponding to the state indicator based on the correlation, wherein the target state level includes preset state parameters corresponding to the target state level; and a detection unit, used to detect the state indicator based on the preset state parameters and the target weight to obtain a state detection result.

[0137] Optionally, the first determination unit includes: an acquisition subunit, used to acquire preset attribute parameters corresponding to multiple status levels; and a first determination subunit, used to determine the correlation between the status indicator and the multiple status levels based on the similarity between the attribute parameters and the preset attribute parameters.

[0138] Optionally, the state indicator includes a first state indicator and a second state indicator, and the building module includes: a third determination unit, used to determine the voltage regulation capability of the magnetically controlled transformer based on the structural parameters, and to determine the output reactive capacity of the magnetically controlled transformer based on the electromagnetic parameters, wherein the output reactive capacity is used to represent the maximum capability of the magnetically controlled transformer to provide reactive power to the power system; a fourth determination unit, used to determine the first state indicator based on the voltage regulation capability and the output reactive capacity; and to determine the second state indicator based on the structural parameters.

[0139] Optionally, the determination module includes: a normalization unit, which is used to normalize the voltage regulation capability and the output reactive capacity to obtain first state data; a fifth determination unit, which is used to determine a first weight of the first state indicator based on the first state data and the first preset state data of the first state indicator, wherein the first weight is used to represent the weight of the first state indicator in the state detection scenario of the magnetic control transformer; a sixth determination unit, which is used to receive multiple feedback weights for the second state indicator, and determine a second weight of the second state indicator based on the multiple feedback weights, wherein different feedback weights are obtained by feedback from different users, and the second weight is used to represent the weight of the second state indicator in the state detection scenario of the magnetic control transformer; a seventh determination unit, which is used to determine the target weight based on the first weight and / or the second weight.

[0140] Optionally, the seventh determination unit includes: a construction subunit, used to construct a weighted integrated model based on the first weight, the second weight and multiple weighting strategies with the goal of minimizing variance; and a solution subunit, used to solve the weighted integrated model to obtain the target weight.

[0141] Optionally, the sixth determination unit includes: a second determination subunit, used to construct a first weight matrix based on multiple feedback weights and a second state indicator; a sorting subunit, used to sort the multiple feedback weights in the first weight matrix based on the second state indicator to obtain a second weight matrix; a third determination subunit, used to determine the position weights of the multiple feedback weights based on the sorting positions of the multiple feedback weights in the second weight matrix; and a fourth determination subunit, used to determine the second weight based on the position weight and the second weight matrix.

[0142] According to another aspect of an embodiment of the present invention, there is also provided an electronic device, comprising: one or more processors; a storage device for storing one or more programs; when the one or more programs are executed by one or more processors, the one or more processors execute the above-mentioned state detection method of the magnetically controlled transformer.

[0143] The storage device in the above steps can be a kind of sequential logic circuit, a memory component used to store data and instructions, etc., mainly used to store programs and data; the processor can be a functional unit that interprets and executes instructions, and it has a unique set of operating commands, which can be called the instruction set of the processor, such as storage, loading, etc. are all operations; the storage device stores computer programs, which can be a set of instructions that can be recognized and executed by a computer, running on an electronic computer, and is an information tool that meets certain needs of people.

[0144] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is further provided. The computer-readable storage medium includes a stored program, wherein when the program is run, the processor of the device where the program is located is controlled to execute the above-mentioned state detection method of the magnetically controlled transformer.

[0145] The computer storage medium in the above steps can be a medium used to store certain discontinuous physical quantities in a computer memory, and the computer storage medium mainly includes semiconductors, magnetic cores, magnetic drums, magnetic tapes, laser disks, etc. The stored program included in the computer-readable storage medium can be a set of instructions that can be recognized and executed by a computer, running on an electronic computer, and is an information tool that meets certain needs of people.

[0146] According to another aspect of the embodiments of the present invention, a computer program product is provided, including a computer program, and the computer program executes the above-mentioned state detection method of the magnetically controlled transformer when being executed by a processor.

[0147] 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.

[0148] 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 the 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.

[0149] 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 on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0150] 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.

[0151] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk, etc. Various media that can store program codes.

[0152] The above is only a preferred embodiment 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 principle 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 detecting the state of a magnetically controlled transformer, characterized in that: include: Constructing a state index of the magnetic control transformer according to the structural parameters and electromagnetic parameters of the magnetic control transformer; Determining a target weight of the state indicator, wherein the target weight is used to represent the importance of the state indicator in the state detection scenario of the magnetic control transformer; Performing attribute conversion on the state data corresponding to the state indicator to obtain attribute parameters, wherein the attribute conversion is used to represent converting the state data into parameters with preset attributes, and the attribute parameters are used to represent parameters with preset attributes; The state of the magnetic control transformer is detected based on the attribute parameter and the target weight to obtain a state detection result, wherein the state detection result is used to indicate whether the magnetic control transformer is in a normal operating state.

2. The state detection method of the magnetic control transformer according to claim 1 is characterized in that: Performing state detection on the magnetically controlled transformer based on the attribute parameter and the target weight to obtain a state detection result includes: Determining, based on the attribute parameter, a correlation between the state indicator and a plurality of state levels, wherein different state levels correspond to operating states of the magnetic control transformer at different intensities; Determining a target state level corresponding to the state indicator based on the correlation degree, wherein the target state level includes a preset state parameter corresponding to the target state level; The state indicator is detected based on the preset state parameter and the target weight to obtain the state detection result.

3. The state detection method of the magnetic control transformer according to claim 2 is characterized in that: Determining the association between the state indicator and a plurality of state levels based on the attribute parameter includes: Obtaining preset attribute parameters corresponding to the multiple status levels; The degree of association between the state indicator and the plurality of state levels is determined based on a similarity between the attribute parameter and the preset attribute parameter.

4. The state detection method of the magnetic control transformer according to claim 1 is characterized in that: The state index includes a first state index and a second state index. The state index of the magnetic control transformer is constructed according to the structural parameters and electromagnetic parameters of the magnetic control transformer, including: Determine the voltage regulation capability of the magnetic control transformer based on the structural parameters, and determine the output reactive capacity of the magnetic control transformer based on the electromagnetic parameters, wherein the output reactive capacity is used to represent the maximum capability of the magnetic control transformer to provide reactive power to the power system; Determining the first state indicator based on the voltage regulation capability and the output reactive capacity; The second state indicator is determined based on the structural parameter.

5. The state detection method of the magnetic control transformer according to claim 4 is characterized in that: Determining a target weight of the status indicator includes: Normalizing the voltage regulation capability and the output reactive capacity to obtain first state data; Determine a first weight of the first state indicator based on the first state data and first preset state data of the first state indicator, wherein the first weight is used to represent the weight of the first state indicator in the state detection scenario of the magnetically controlled transformer; Receiving a plurality of feedback weights for the second state indicator, and determining a second weight of the second state indicator based on the plurality of feedback weights, wherein different feedback weights are obtained by feedback from different users, and the second weight is used to represent the weight of the second state indicator in the state detection scenario of the magnetically controlled transformer; The target weight is determined based on the first weight and / or the second weight.

6. The state detection method of the magnetic control transformer according to claim 5, characterized in that: Determining the target weight based on the first weight and the second weight includes: Taking variance minimization as a goal, constructing a weighted integrated model based on the first weight, the second weight, and a plurality of weighting strategies; The weighted integration model is solved to obtain the target weight.

7. The state detection method of the magnetic control transformer according to claim 5, characterized in that: Determining a second weight of the second state indicator based on the multiple feedback weights includes: Constructing a first weight matrix based on the multiple feedback weights and the second state indicator; Sort the multiple feedback weights in the first weight matrix based on the second state indicator to obtain a second weight matrix; determining position weights of the plurality of feedback weights based on the sorting positions of the plurality of feedback weights in the second weight matrix; The second weight is determined based on the position weight and the second weight matrix.

8. A state detection device for a magnetron transformer, characterized in that: include: A construction module, used to construct a state indicator of the magnetic control transformer according to the structural parameters and electromagnetic parameters of the magnetic control transformer; A determination module, used to determine a target weight of the state indicator, wherein the target weight is used to represent the importance of the state indicator in the state detection scenario of the magnetic control transformer; A conversion module, used for performing attribute conversion on the state data corresponding to the state indicator to obtain attribute parameters, wherein the attribute conversion is used to represent the conversion of the state data into parameters with preset attributes, and the attribute parameters are used to represent parameters with preset attributes; A detection module is used to perform state detection on the magnetic control transformer based on the attribute parameter and the target weight to obtain a state detection result, wherein the state detection result is used to indicate whether the magnetic control transformer is in a normal operating state.

9. An electronic device, characterized in that: include: A memory storing an executable program; A processor, configured to run the program, wherein the program executes the method according to any one of claims 1 to 7 when running.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored executable program, wherein when the executable program is run, the device where the storage medium is located is controlled to execute the method according to any one of claims 1 to 7.

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