Methods, apparatus, electronic equipment and storage media for determining temperature compensation coefficient

Abstract

This invention discloses a method, apparatus, electronic device, and storage medium for determining a temperature compensation coefficient. The method includes: determining a first peak value, a first rise duration, and a first fall duration corresponding to a first output signal; determining a first peak value deviation value corresponding to the first rise peak value; determining a first rise duration deviation value corresponding to the first rise duration; determining a first fall duration deviation value corresponding to the first fall duration; determining a target sensitivity value corresponding to the first output signal based on the first peak value deviation value, the first rise duration deviation value, and the first fall duration deviation value; determining a target temperature compensation coefficient for a target partial discharge sensor based on multiple temperatures and multiple target sensitivity values; and correcting the measurement results of the target partial discharge sensor based on the target temperature compensation coefficient. Using the embodiments of this application improves the accuracy of the measurement results of the partial discharge sensor.

Description

Technical Field

[0001] This invention relates to the field of power equipment monitoring technology, and in particular to a method, apparatus, electronic device and storage medium for determining temperature compensation coefficient. Background Technology

[0002] Partial discharge is a significant indicator of insulation degradation within power equipment. Prolonged partial discharge can lead to a decline in insulation performance, potentially causing equipment failures or even power outages. Real-time detection and analysis of partial discharge are crucial for ensuring the safe operation of power equipment. Among existing partial discharge detection methods, partial discharge sensors equipped with ultrasonic units offer advantages such as high sensitivity and strong resistance to electromagnetic interference. However, the accuracy of measurement results is limited because temperature affects the sensor's performance. Summary of the Invention

[0003] This application provides a method, apparatus, electronic device, and storage medium for determining a temperature compensation coefficient. By determining the target temperature compensation coefficient of a target partial discharge sensor, the measurement results of the target partial discharge sensor are corrected based on the target temperature compensation coefficient, thereby improving the accuracy of the measurement results of the partial discharge sensor.

[0004] In a first aspect, embodiments of this application provide a method for determining a temperature compensation coefficient, applied to a partial discharge system, the partial discharge system including: an ignition device and a partial discharge sensor; the method includes:

[0005] The target partial discharge sensor is ignited at a preset position at multiple temperatures using an ignition device to obtain multiple output signals; each temperature corresponds to one output signal.

[0006] Following the determination methods in steps S1-S5 below, the sensitivity value corresponding to each of the multiple output signals is determined to obtain multiple target sensitivity values. Specifically, the steps are as follows:

[0007] S1. Determine the first peak value, the first rise duration, and the first fall duration corresponding to the first output signal; the first output signal is any one of multiple output signals.

[0008] S2. Determine the deviation between the first rising peak value and the preset peak value to obtain the first peak value deviation value;

[0009] S3. Determine the deviation value between the first rise duration and the preset rise duration to obtain the first rise duration deviation value;

[0010] S4. Determine the deviation value between the first descent duration and the preset descent duration to obtain the first descent duration deviation value;

[0011] S5. Determine the target sensitivity value corresponding to the first output signal based on the first peak deviation value, the first rise duration deviation value, and the first fall duration deviation value;

[0012] The target temperature compensation coefficient of the target partial discharge sensor is determined based on multiple temperatures and multiple target sensitivity values.

[0013] The measurement results of the target partial discharge sensor are corrected based on the target temperature compensation coefficient.

[0014] Secondly, this application provides a temperature compensation coefficient determination device for use in a partial discharge system. The partial discharge system includes an ignition device and a partial discharge sensor. The temperature compensation coefficient determination device includes an ignition unit and a processing unit.

[0015] The ignition unit is used to ignite the preset position of the target partial discharge sensor at multiple temperatures through the ignition device, and obtain multiple output signals; each temperature corresponds to one output signal.

[0016] The processing unit is used to determine the sensitivity value corresponding to each of the multiple output signals according to the determination method in steps S1-S5 below, thereby obtaining multiple target sensitivity values. Specifically, the steps are as follows:

[0017] S1. Determine the first peak value, the first rise duration, and the first fall duration corresponding to the first output signal; the first output signal is any one of multiple output signals.

[0018] S2. Determine the deviation between the first rising peak value and the preset peak value to obtain the first peak value deviation value;

[0019] S3. Determine the deviation value between the first rise duration and the preset rise duration to obtain the first rise duration deviation value;

[0020] S4. Determine the deviation value between the first descent duration and the preset descent duration to obtain the first descent duration deviation value;

[0021] S5. Determine the target sensitivity value corresponding to the first output signal based on the first peak deviation value, the first rise duration deviation value, and the first fall duration deviation value;

[0022] The target temperature compensation coefficient of the target partial discharge sensor is determined based on multiple temperatures and multiple target sensitivity values.

[0023] The measurement results of the target partial discharge sensor are corrected based on the target temperature compensation coefficient.

[0024] Thirdly, embodiments of the present invention provide an electronic device, including: a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor to cause the electronic device to perform the method as described in the first aspect.

[0025] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing a computer program that is executed by a processor to implement the method as described in the first aspect.

[0026] Fifthly, embodiments of the present invention provide a computer program product including a non-transitory computer-readable storage medium storing a computer program, such that a computer performs the method as described in the first aspect.

[0027] Implementing the embodiments of the present invention has the following beneficial effects:

[0028] As can be seen, the temperature compensation coefficient determination method described in this embodiment of the invention involves igniting a preset position of the target partial discharge sensor at multiple temperatures using an ignition device to obtain multiple output signals, where each temperature corresponds to one output signal. Then, the sensitivity value corresponding to each of the multiple output signals is determined to obtain multiple target sensitivity values. Specifically, the first peak value, the first rise duration, and the first fall duration corresponding to the first output signal are determined, where the first output signal is any one of the multiple output signals. Then, the deviation between the first rise peak value and the preset peak value is determined to obtain the first peak value deviation value. The deviation between the first rise duration and the preset rise duration is determined to obtain the first rise duration deviation value. Similarly, the deviation between the first fall duration and the preset fall duration is determined to obtain the first fall duration deviation value. Then, based on the first peak deviation value, the first rise duration deviation value, and the first fall duration deviation value, the target sensitivity value corresponding to the first output signal is determined. Finally, based on multiple temperatures and multiple target sensitivity values, the target temperature compensation coefficient of the target partial discharge sensor is determined. The measurement results of the target partial discharge sensor are then corrected based on the target temperature compensation coefficient, thereby improving the accuracy of the measurement results of the partial discharge sensor. Attached Figure Description

[0029] To more clearly illustrate the technical solutions in the embodiments of this application or the background art, the accompanying drawings used in the embodiments of this application or the background art will be described below.

[0030] Figure 1 This is a schematic diagram of the structure of a partial discharge system provided in an embodiment of this application;

[0031] Figure 2This is a flowchart of a method for determining a temperature compensation coefficient provided in an embodiment of this application;

[0032] Figure 3 This is a flowchart of a method for determining a target sensitivity value provided in an embodiment of this application;

[0033] Figure 4 This is a schematic diagram of a temperature compensation coefficient determination device provided in an embodiment of this application;

[0034] Figure 5 This is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. Detailed Implementation

[0035] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present application.

[0036] The terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.

[0037] In this document, the term "implementation" means that a specific feature, structure, or characteristic described in connection with an implementation may be included in at least one implementation of this application. The appearance of this phrase in various places in the specification does not necessarily refer to the same implementation, nor is it a separate or alternative implementation mutually exclusive with other implementations. It will be explicitly and implicitly understood by those skilled in the art that the implementations described herein can be combined with other implementations.

[0038] Please see Figure 1 , Figure 1 This is a schematic diagram of a partial discharge system provided in an embodiment of this application. The partial discharge system 10 includes an ignition device 101 and a partial discharge sensor 102.

[0039] First, the ignition device 101 ignites the target partial discharge sensor 102 at preset positions under multiple temperatures, resulting in multiple output signals, with each temperature corresponding to one output signal. Then, the sensitivity value corresponding to each of the multiple output signals is determined, resulting in multiple target sensitivity values. Specifically, the sensitivity value corresponding to each of the multiple output signals can be determined as follows: First, the first peak value, first rise duration, and first fall duration corresponding to the first output signal are determined, where the first output signal is any one of the multiple output signals. Then, the deviation between the first rise peak value and the preset peak value is determined, resulting in the first peak value deviation value. Next, the deviation between the first rise duration and the preset rise duration is determined, resulting in the first rise duration deviation value. Finally, the deviation between the first fall duration and the preset fall duration is determined, resulting in the first fall duration deviation value. Finally, the target sensitivity value corresponding to the first output signal is determined based on the first peak value deviation value, the first rise duration deviation value, and the first fall duration deviation value. Following the above method, the sensitivity value corresponding to each of the multiple output signals can be determined, resulting in multiple target sensitivity values. Then, based on the multiple temperatures and multiple target sensitivity values, the target temperature compensation coefficient of the target partial discharge sensor 102 is determined. Finally, the measurement results of the target partial discharge sensor 102 are corrected based on the target temperature compensation coefficient, thereby improving the accuracy of the measurement results of the partial discharge sensor 102.

[0040] Please see Figure 2 , Figure 2 This is a flowchart of a method for determining a temperature compensation coefficient provided in an embodiment of this application, including but not limited to the following steps:

[0041] S201: Ignition is performed on the preset position of the target partial discharge sensor at multiple temperatures using an ignition device to obtain multiple output signals.

[0042] In this embodiment, each temperature corresponds to one output signal. For example, a partial discharge sensor is a device used to detect partial discharge phenomena in electrical equipment. Partial discharge generates ultrasonic signals, and the partial discharge sensor can determine the occurrence of partial discharge by detecting these ultrasonic signals. Partial discharge sensors are used to detect partial discharge phenomena in power equipment such as transformers, generators, and cables, promptly identifying insulation defects and preventing equipment failures and power outages. For instance, installing partial discharge sensors in a substation allows for real-time monitoring of the transformer's operating status. Once a partial discharge signal is detected, timely inspection and maintenance can be carried out to ensure the safe and stable operation of the power system. First, a suitable ignition device is selected, such as an electronic igniter or an electric spark generator. The temperature range and step size are then determined to obtain multiple temperatures. Place the target partial discharge sensor in a suitable location, ensuring the ignition device can accurately ignite at the sensor's preset position. After the temperature stabilizes, ignite the sensor at the preset position using the ignition device, controlling parameters such as ignition energy, frequency, and duration to ensure consistency in each ignition operation. Simultaneously, record the output signal of the target partial discharge sensor using a data acquisition device such as an oscilloscope or data logger. Gradually increase or decrease the test environment temperature according to the set temperature steps, repeating the ignition operation and output signal recording at each temperature point to ensure a stable output signal is obtained at each temperature.

[0043] S202: Determine the first peak value, the first rise duration, and the first fall duration corresponding to the first output signal.

[0044] In this embodiment, the first output signal is any one of the multiple output signals. The method for determining the sensitivity value corresponding to each of the multiple output signals is the same, so the method for determining the sensitivity value corresponding to the first output signal will be used as an example for explanation.

[0045] Specifically, in the waveform corresponding to the first output signal, find the point with the largest amplitude; this amplitude is the first peak value. Then, determine the start and end points of the rise, i.e., the point where the signal begins to rise significantly and the point where the signal reaches its peak value. Calculate the time difference between the start and end points of the rise; this time difference is the duration of the first rise. Observe the process of the signal decreasing from its peak value to a stable state, determine the start and end points of the fall, i.e., the point where the signal begins to fall from its peak value and the point where the signal falls to a lower amplitude value. Calculate the time difference between the start and end points of the fall; this time difference is the duration of the first fall.

[0046] S203: Determine the deviation between the first rising peak value and the preset peak value to obtain the first peak deviation value.

[0047] In this embodiment, by comparing the difference between the rising peak value of the first output signal and the preset peak value, the gap between the strength of the first output signal and the expected strength can be evaluated. Therefore, the deviation value between the first rising peak value and the preset peak value is determined, and the first peak value deviation value is obtained.

[0048] S204: Determine the deviation value between the first rise duration and the preset rise duration, and obtain the first rise duration deviation value.

[0049] In this embodiment, the rise duration reflects the time it takes for the first output signal to rise from the initial state to the peak value. By comparing the deviation between the rise duration of the first output signal and the preset rise duration, the difference between the rise speed of the first output signal and the expected rise speed can be understood. Therefore, the deviation value between the first rise duration and the preset rise duration is determined, and the first rise duration deviation value is obtained.

[0050] S205: Determine the deviation value between the first descent duration and the preset descent duration, and obtain the first descent duration deviation value.

[0051] In this embodiment, the duration of the decline reflects the time it takes for the first output signal to decrease from its peak to a stable state. By comparing the deviation between the duration of the decline of the first output signal and the preset duration of the decline, the difference between the decline rate of the first output signal and the expected decline rate can be understood. Therefore, the deviation value between the duration of the decline and the preset duration of the decline is determined, and the deviation value of the duration of the decline is obtained.

[0052] S206: Determine the target sensitivity value corresponding to the first output signal based on the first peak deviation value, the first rise duration deviation value, and the first fall duration deviation value.

[0053] In this embodiment, please refer to Figure 3 , Figure 3 This is a flowchart of a method for determining a target sensitivity value provided in an embodiment of this application, including but not limited to the following steps:

[0054] S301: Determine the first peak deviation ratio based on the first peak deviation value and the preset peak value.

[0055] In this embodiment, the first peak deviation ratio can intuitively reflect the degree of deviation of the peak value of the first output signal from the preset peak value. Therefore, the first peak deviation ratio is determined based on the first peak deviation value and the preset peak value. The first peak deviation ratio can be obtained by dividing the first peak deviation value by the preset peak value.

[0056] S302: Determine the first rise duration deviation ratio based on the first rise duration deviation value and the preset rise duration.

[0057] In this embodiment, the first rise duration deviation ratio can intuitively reflect the degree of deviation of the rise duration of the first output signal from the preset rise duration. Therefore, the first rise duration deviation ratio is determined based on the first rise duration deviation value and the preset rise duration. The first rise duration deviation ratio can be obtained by dividing the first rise duration deviation value by the preset rise duration.

[0058] S303: Determine the first descent duration deviation ratio based on the first descent duration deviation value and the preset descent duration.

[0059] In this embodiment, the first falling duration deviation ratio can intuitively reflect the degree of deviation of the falling duration of the first output signal from the preset falling duration. Therefore, the first falling duration deviation ratio is determined based on the first falling duration deviation value and the preset falling duration. The first falling duration deviation value can be obtained by dividing the first falling duration deviation value by the preset falling duration.

[0060] S304: Determine the first target weight corresponding to the first peak deviation ratio, the second target weight corresponding to the first rising duration deviation ratio, and the third target weight corresponding to the first falling duration deviation ratio.

[0061] In this embodiment, for example, a first reference weight corresponding to the first peak deviation ratio, a second reference weight corresponding to the first rising duration deviation ratio, and a third reference weight corresponding to the first falling duration deviation ratio are obtained. Specifically, the sum of the first reference weight, the second reference weight, and the third reference weight is 1.

[0062] For example, the target distance between the ignition device and the target partial discharge sensor is obtained. Specifically, when the distance is small, the peak value of the first output signal is usually large. This is because at a closer distance, the energy generated by the discharge can be transmitted to the sensor more effectively, and the signal attenuation during propagation is relatively small, resulting in stronger energy received by the sensor, which manifests as a higher peak value of the first output signal. As the distance increases, the peak value of the first output signal gradually decreases. This is because the signal is attenuated by various factors during propagation, such as electromagnetic wave diffusion, medium absorption and scattering, etc. The farther the distance, the more obvious these attenuation effects are, resulting in less energy reaching the sensor, and thus reducing the peak value of the first output signal. Therefore, the target distance between the ignition device and the target partial discharge sensor is obtained.

[0063] For example, a first optimization factor corresponding to the target distance is determined. Specifically, this can be achieved by pre-storing a mapping relationship between preset distances and optimization factors, and determining the first optimization factor corresponding to the target distance based on this mapping relationship.

[0064] For example, the first reference weight is optimized based on the first optimization factor to obtain the first target weight. Specifically, the first reference weight can be optimized based on the first optimization factor, and the specific calculation formula is as follows:

[0065] First target weight = First reference weight × (1 + First optimization factor);

[0066] The first target weight can be obtained from the above formula.

[0067] For example, the target ignition energy value corresponding to the ignition device is obtained. Specifically, when the target ignition energy value increases, the rising duration of the first output signal is usually shortened. This is because higher ignition energy can excite partial discharge in a shorter time, causing the discharge process to reach its peak value quickly, thereby shortening the duration of the signal from the start to the rising stage. When the target ignition energy value decreases, the rising duration of the first output signal is often prolonged. Lower ignition energy makes the discharge excitation process relatively slow, requiring a longer time for the signal to reach the peak value of the rising stage.

[0068] For example, a second optimization factor corresponding to the target ignition energy value is determined. Specifically, this can be achieved by pre-storing a mapping relationship between preset ignition energy values ​​and optimization factors, and determining the second optimization factor corresponding to the target ignition energy value based on this mapping relationship.

[0069] For example, the second reference weight is optimized based on the second optimization factor to obtain the second target weight. Specifically, the second reference weight can be optimized based on the second optimization factor, and the specific calculation formula is as follows:

[0070] Second target weight = Second reference weight × (1 + Second optimization factor);

[0071] The second objective weight can be obtained from the above formula.

[0072] For example, the target capacitance corresponding to the target partial discharge sensor is obtained. Specifically, when the target capacitance increases, the duration of the decline of the first output signal usually becomes longer. This is because a larger capacitor can store more charge. After the discharge ends, the charge stored in the capacitor needs more time to be released, which makes the signal decline process slower and the duration of decline increases. When the target capacitance decreases, the duration of the decline of the first output signal tends to be shorter. A smaller capacitor has a weaker ability to store charge. After the discharge ends, the charge can be released more quickly, allowing the signal to complete the decline process more quickly.

[0073] For example, a third optimization factor corresponding to the target capacitor is determined. Specifically, this can be achieved by pre-storing a mapping relationship between a preset capacitor and an optimization factor, and then determining the third optimization factor corresponding to the target capacitor based on this mapping relationship.

[0074] For example, the third reference weight is optimized based on the third optimization factor to obtain the third target weight. Specifically, the third reference weight can be optimized based on the third optimization factor, and the specific calculation formula is as follows:

[0075] Third target weight = Third reference weight × (1 + Third optimization factor);

[0076] The third objective weight can be obtained from the above formula.

[0077] It can be seen that by considering factors such as the target distance between the ignition device and the partial discharge sensor, the ignition energy value, and the capacitance of the partial discharge sensor, and by optimizing the corresponding reference weights, the influence of these factors on the output signal deviation can be reflected more accurately, thereby improving the accuracy of determining the target sensitivity value.

[0078] S305: The target sensitivity value is calculated based on the first peak deviation ratio, the first rise duration deviation ratio, the first fall duration deviation ratio, the first target weight, the second target weight, and the third target weight.

[0079] In this embodiment, for example, a reference sensitivity value is calculated based on a first peak deviation ratio, a first rise duration deviation ratio, a first fall duration deviation ratio, a first target weight, a second target weight, and a third target weight. Specifically, the reference sensitivity value is calculated according to the following formula:

[0080] F = a × α + b × β + c × ε

[0081] Where F is the reference sensitivity value, a is the first peak deviation ratio, b is the first rise duration deviation ratio, c is the first fall duration deviation ratio, α is the first target weight, β is the second target weight, and ε is the third target weight.

[0082] For example, historical sensitivity values ​​within a preset time period are obtained, resulting in k historical sensitivity values, where k is a positive integer. Each historical sensitivity value corresponds to a sensitivity detection time. Specifically, the historical sensitivity values ​​can be sensitivity data recorded during similar experiments or monitoring in the previous preset time period.

[0083] For example, a fitted line is obtained by fitting k historical sensitivity values ​​and their corresponding sensitivity detection times. The horizontal axis of the fitted line is time and the vertical axis is the sensitivity value. Specifically, m historical sensitivity values ​​and their corresponding sensitivity detection times are used as data points for the fitting operation. The fitting can be performed using linear regression or polynomial fitting. The purpose of the fitting is to find a straight line that can better describe the trend of historical sensitivity values ​​over time. The horizontal axis of the target fitted line is time, and the vertical axis is the historical sensitivity value.

[0084] For example, to obtain the first slope of the fitted line, specifically, by selecting any two points on the fitted line, the slope corresponding to the fitted line can be calculated, thus obtaining the first slope.

[0085] For example, the target fine-tuning parameter corresponding to the first slope is determined. Specifically, it can be that a preset mapping relationship between slope and fine-tuning parameter is stored in advance, and the target fine-tuning parameter corresponding to the first slope is determined based on the mapping relationship.

[0086] For example, the reference sensitivity value is fine-tuned according to the target fine-tuning parameters to obtain the target sensitivity value. Specifically, the reference sensitivity value can be optimized according to the target fine-tuning parameters, and the specific calculation formula is as follows:

[0087] Target sensitivity value = Reference sensitivity value × (1 + Target fine-tuning parameter);

[0088] The target sensitivity value can be obtained from the above formula.

[0089] It can be seen that by combining multiple deviation ratios and the optimized target weights for calculation, the actual situation of the system can be reflected more comprehensively and accurately, and a relatively reliable reference sensitivity value can be obtained. Then, by combining the trend of historical sensitivity values ​​for fine-tuning, the accuracy of the final target sensitivity value is further improved. By considering historical data within a preset time period, obtaining the first slope by fitting a straight line and determining the fine-tuning parameters, the determination of the sensitivity value can adapt to the dynamic changes that the system may undergo over time, thereby improving the accuracy of the sensitivity value.

[0090] S207: Determine the target temperature compensation coefficient of the target partial discharge sensor based on multiple temperatures and multiple target sensitivity values.

[0091] In this embodiment, for example, a sensitivity change line is obtained by fitting multiple temperatures with multiple target sensitivity values. The horizontal axis of the sensitivity change curve is temperature, and the vertical axis is time sensitivity value. Specifically, the fitting can be performed using linear regression or polynomial fitting. After fitting, the sensitivity change line can be obtained. The sensitivity change line obtained by the fitting method can concisely and intuitively highlight the relationship between sensitivity value and temperature.

[0092] For example, the slope corresponding to the sensitivity change line is determined to obtain the second slope. Specifically, any two points in the sensitivity change line can be selected to calculate the slope corresponding to the sensitivity change line and obtain the second slope.

[0093] For example, a temperature compensation coefficient corresponding to the second slope is determined to obtain a target temperature compensation coefficient. Specifically, a reference temperature compensation coefficient corresponding to the second slope is first determined. This can be achieved by pre-storing a mapping relationship between the slope of a preset sensitivity change line and the temperature compensation coefficient, and then determining the reference temperature compensation coefficient corresponding to the second slope based on this mapping relationship. For example, the thermal expansion coefficient corresponding to the target partial discharge sensor is obtained to obtain the target thermal expansion coefficient. Specifically, when the thermal expansion coefficient is large, the physical structure of the sensor undergoes significant dimensional changes with temperature changes, which may lead to changes in the sensor's electrical performance, such as changes in capacitance and resistance parameters. This makes the influence of temperature on the sensor's output signal more complex. When the thermal expansion coefficient is small, the physical structure of the sensor changes relatively little with temperature changes, and the impact on electrical performance is relatively weak. Therefore, the influence of the thermal expansion coefficient on the temperature compensation coefficient must be considered. For example, a target adjustment parameter corresponding to the target thermal expansion coefficient is determined. Specifically, this can be achieved by pre-storing a mapping relationship between a preset thermal expansion coefficient and adjustment parameters, and then determining the target adjustment parameter corresponding to the target thermal expansion coefficient based on this mapping relationship. For example, the reference temperature compensation coefficient is adjusted according to the target adjustment parameters to obtain the target temperature compensation coefficient. Specifically, the reference temperature compensation coefficient can be adjusted according to the target adjustment parameters, and the specific calculation formula is as follows:

[0094] Target temperature compensation coefficient = Reference temperature compensation coefficient × (1 + Target adjustment parameter); The target temperature compensation coefficient can be obtained according to the above formula.

[0095] It should be noted that if the second slope is greater than the preset slope, then the maximum and minimum values ​​among multiple temperatures are determined, and a target difference between the maximum and minimum values ​​is determined. The target difference reflects the range of temperature variation. For example, based on the minimum and maximum values, m interval ranges corresponding to the target difference are determined, where m is an integer greater than 1. Multiple temperatures falling into m interval ranges facilitates the counting of temperatures within different interval ranges. For example, the number of temperatures within m intervals is counted, resulting in m temperature values. The weight of each of these m intervals is then obtained, resulting in m weights. The sum of these m weights is 1. Intervals closer to a preset temperature have smaller weights, as the preset temperature is generally considered an ideal or standard temperature condition. Around this temperature, the temperature's impact on the system is relatively small, or the system's performance is relatively stable and reliable within this temperature range. Intervals farther from the preset temperature may have a greater impact on the system and require more attention and weight. By assigning smaller weights to intervals closer to the preset temperature, the impact of large temperature deviations on the temperature compensation coefficient can be highlighted, thus more effectively adjusting the compensation coefficient to adapt to the different degrees of impact of different temperature intervals on system performance. For example, the proportion of each interval is determined based on the m temperature values, resulting in m proportions. These m proportions are then weighted and calculated with the m weights to obtain the target deviation parameter. Specifically, the m proportions are multiplied by the corresponding weights in the m weights, and then all products are summed to obtain the target deviation parameter. For example, the reference temperature compensation coefficient is adjusted according to the target deviation parameter to obtain the target temperature compensation coefficient. Specifically, the reference temperature compensation coefficient can be adjusted according to the target deviation parameter, and the specific calculation formula is as follows:

[0096] Target temperature compensation coefficient = Reference temperature compensation coefficient × (1 + Target deviation parameter); The target temperature compensation coefficient can be obtained according to the above formula.

[0097] It can be seen that fitting the sensitivity change line, considering the coefficient of thermal expansion, dividing the temperature range and performing weighted calculations can more accurately determine the target temperature compensation coefficient, thereby more effectively correcting the partial discharge sensor measurement error caused by temperature changes and improving the accuracy of the measurement results.

[0098] S208: Correct the measurement results of the target partial discharge sensor based on the target temperature compensation coefficient.

[0099] In this embodiment, after obtaining the original measurement results of the target partial discharge sensor, the target temperature compensation coefficient is mathematically calculated with the original measurement value. The original measurement value can be multiplied by the target temperature compensation coefficient, or the target temperature compensation coefficient can be added to the original measurement value to adjust the original measurement results, so as to eliminate or reduce the influence of temperature factors on the measurement, thereby obtaining a corrected measurement result that is closer to the real situation.

[0100] In summary, implementing the embodiments of the present invention has the following beneficial effects:

[0101] As can be seen, the temperature compensation coefficient determination method described in this embodiment of the invention involves igniting a preset position of the target partial discharge sensor at multiple temperatures using an ignition device to obtain multiple output signals, where each temperature corresponds to one output signal. Then, the sensitivity value corresponding to each of the multiple output signals is determined to obtain multiple target sensitivity values. Specifically, the first peak value, the first rise duration, and the first fall duration corresponding to the first output signal are determined, where the first output signal is any one of the multiple output signals. Then, the deviation between the first rise peak value and the preset peak value is determined to obtain the first peak value deviation value. The deviation between the first rise duration and the preset rise duration is determined to obtain the first rise duration deviation value. Similarly, the deviation between the first fall duration and the preset fall duration is determined to obtain the first fall duration deviation value. Then, based on the first peak deviation value, the first rise duration deviation value, and the first fall duration deviation value, the target sensitivity value corresponding to the first output signal is determined. Finally, based on multiple temperatures and multiple target sensitivity values, the target temperature compensation coefficient of the target partial discharge sensor is determined. The measurement results of the target partial discharge sensor are then corrected based on the target temperature compensation coefficient, thereby improving the accuracy of the measurement results of the partial discharge sensor.

[0102] Please see Figure 4 , Figure 4 This is a schematic diagram of a temperature compensation coefficient determination device provided in an embodiment of this application. It is applied to a partial discharge system. The partial discharge system includes an ignition device and a partial discharge sensor. The temperature compensation coefficient determination device 400 includes an ignition unit 401 and a processing unit 402.

[0103] The ignition unit 401 is used to ignite the preset position of the target partial discharge sensor at multiple temperatures through the ignition device to obtain multiple output signals; each temperature corresponds to one output signal.

[0104] Processing unit 402 is used to determine the sensitivity value corresponding to each of the multiple output signals according to the determination method in steps S1-S5 below, to obtain multiple target sensitivity values, specifically through the following steps:

[0105] S1. Determine the first peak value, the first rise duration, and the first fall duration corresponding to the first output signal; the first output signal is any one of multiple output signals.

[0106] S2. Determine the deviation between the first rising peak value and the preset peak value to obtain the first peak value deviation value;

[0107] S3. Determine the deviation value between the first rise duration and the preset rise duration to obtain the first rise duration deviation value;

[0108] S4. Determine the deviation value between the first descent duration and the preset descent duration to obtain the first descent duration deviation value;

[0109] S5. Determine the target sensitivity value corresponding to the first output signal based on the first peak deviation value, the first rise duration deviation value, and the first fall duration deviation value;

[0110] The target temperature compensation coefficient of the target partial discharge sensor is determined based on multiple temperatures and multiple target sensitivity values.

[0111] The measurement results of the target partial discharge sensor are corrected based on the target temperature compensation coefficient.

[0112] In some possible implementations, in determining the target sensitivity value corresponding to the first output signal based on the first peak deviation value, the first rise duration deviation value, and the first fall duration deviation value, the processing unit 402 is specifically used for:

[0113] The first peak deviation ratio is determined based on the first peak deviation value and the preset peak value;

[0114] The first rise duration deviation ratio is determined based on the first rise duration deviation value and the preset rise duration.

[0115] The first descent duration deviation ratio is determined based on the first descent duration deviation value and the preset descent duration.

[0116] Determine the first target weight corresponding to the first peak deviation ratio, the second target weight corresponding to the first rise duration deviation ratio, and the third target weight corresponding to the first fall duration deviation ratio;

[0117] The target sensitivity value is calculated based on the first peak deviation ratio, the first rise duration deviation ratio, the first fall duration deviation ratio, the first target weight, the second target weight, and the third target weight.

[0118] In some possible implementations, the processing unit 402 is specifically used for determining the first target weight corresponding to the first peak deviation ratio, the second target weight corresponding to the first rise duration deviation ratio, and the third target weight corresponding to the first fall duration deviation ratio:

[0119] Obtain the first reference weight corresponding to the first peak deviation ratio, the second reference weight corresponding to the first rise duration deviation ratio, and the third reference weight corresponding to the first fall duration deviation ratio;

[0120] Obtain the target distance between the ignition device and the target partial discharge sensor;

[0121] Determine the first optimization factor corresponding to the target distance;

[0122] The first reference weight is optimized based on the first optimization factor to obtain the first target weight;

[0123] Obtain the target ignition energy value corresponding to the ignition device;

[0124] Determine the second optimization factor corresponding to the target ignition energy value;

[0125] The second reference weight is optimized based on the second optimization factor to obtain the second target weight;

[0126] Obtain the target capacitance corresponding to the target partial discharge sensor;

[0127] Determine the third optimization factor corresponding to the target capacitance;

[0128] The third reference weight is optimized based on the third optimization factor to obtain the third target weight.

[0129] In some possible implementations, in calculating the target sensitivity value based on the first peak deviation ratio, the first rise duration deviation ratio, the first fall duration deviation ratio, the first target weight, the second target weight, and the third target weight, the processing unit 402 is specifically used for:

[0130] The reference sensitivity value is calculated based on the first peak deviation ratio, the first rise duration deviation ratio, the first fall duration deviation ratio, the first target weight, the second target weight, and the third target weight.

[0131] Obtain historical sensitivity values ​​within a preset time period to obtain k historical sensitivity values; k is a positive integer, and each historical sensitivity value corresponds to a sensitivity detection time.

[0132] A fitted straight line is obtained by fitting k historical sensitivity values ​​and their corresponding sensitivity detection times; the horizontal axis of the fitted straight line is time and the vertical axis is the sensitivity value.

[0133] Obtain the first slope of the fitted line;

[0134] Determine the target fine-tuning parameters corresponding to the first slope;

[0135] The reference sensitivity value is fine-tuned based on the target fine-tuning parameters to obtain the target sensitivity value.

[0136] In some possible implementations, in determining the target temperature compensation coefficient of the target partial discharge sensor based on multiple temperatures and multiple target sensitivity values, the processing unit 402 is specifically configured to:

[0137] By fitting multiple temperatures with multiple target sensitivity values, a linear curve of sensitivity change is obtained; the horizontal axis of the sensitivity change curve is temperature and the vertical axis is time sensitivity value.

[0138] Determine the slope of the linear curve corresponding to the sensitivity change to obtain the second slope;

[0139] Determine the temperature compensation coefficient corresponding to the second slope to obtain the target temperature compensation coefficient.

[0140] In some possible implementations, in determining the temperature compensation coefficient corresponding to the second slope and obtaining the target temperature compensation coefficient, the processing unit 402 is specifically used for:

[0141] Determine the reference temperature compensation coefficient corresponding to the second slope;

[0142] Obtain the thermal expansion coefficient corresponding to the target partial discharge sensor to obtain the target thermal expansion coefficient;

[0143] Determine the target adjustment parameters corresponding to the target coefficient of thermal expansion;

[0144] Adjust the reference temperature compensation coefficient according to the target adjustment parameters to obtain the target temperature compensation coefficient.

[0145] In some possible implementations, the processing unit 402 is further specifically used for:

[0146] If the second slope is greater than the preset slope, then the maximum and minimum values ​​among multiple temperatures are determined;

[0147] Determine the target difference between the maximum and minimum values;

[0148] Based on the minimum and maximum values, determine m interval ranges corresponding to the target difference; m is an integer greater than 1.

[0149] Multiple temperatures fall into m intervals;

[0150] Count the number of temperatures within m intervals to obtain m temperature values;

[0151] Obtain the weight corresponding to each of the m interval ranges, resulting in m weight values; the sum of the m weight values ​​is 1, and the weight value is smaller for interval ranges closer to the preset temperature.

[0152] Based on the m temperature values, determine the proportion of each interval range, and obtain the m proportions of each value.

[0153] The target deviation parameter is obtained by weighting the m quantity proportions with the m weights.

[0154] The target temperature compensation coefficient is obtained by adjusting the reference temperature compensation coefficient based on the target deviation parameter.

[0155] Please see Figure 5 , Figure 5 This is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. For example... Figure 5 As shown, the electronic device 500 includes a transceiver 501, a processor 502, and a memory 503. These are connected via a bus 504. The memory 503 stores computer programs and data, and the transceiver 501 transmits data stored in the memory 503 to the processor 502. The electronic device 500 includes a partial discharge system, which includes an ignition device and a partial discharge sensor. The program includes instructions for performing the following steps:

[0156] The target partial discharge sensor is ignited at a preset position at multiple temperatures using an ignition device to obtain multiple output signals; each temperature corresponds to one output signal.

[0157] Following the determination methods in steps S1-S5 below, the sensitivity value corresponding to each of the multiple output signals is determined to obtain multiple target sensitivity values. Specifically, the steps are as follows:

[0158] S1. Determine the first peak value, the first rise duration, and the first fall duration corresponding to the first output signal; the first output signal is any one of multiple output signals.

[0159] S2. Determine the deviation between the first rising peak value and the preset peak value to obtain the first peak value deviation value;

[0160] S3. Determine the deviation value between the first rise duration and the preset rise duration to obtain the first rise duration deviation value;

[0161] S4. Determine the deviation value between the first descent duration and the preset descent duration to obtain the first descent duration deviation value;

[0162] S5. Determine the target sensitivity value corresponding to the first output signal based on the first peak deviation value, the first rise duration deviation value, and the first fall duration deviation value;

[0163] The target temperature compensation coefficient of the target partial discharge sensor is determined based on multiple temperatures and multiple target sensitivity values.

[0164] The measurement results of the target partial discharge sensor are corrected based on the target temperature compensation coefficient.

[0165] In some possible implementations, the above procedure includes instructions for performing the following steps in determining the target sensitivity value corresponding to the first output signal based on the first peak deviation value, the first rise duration deviation value, and the first fall duration deviation value:

[0166] The first peak deviation ratio is determined based on the first peak deviation value and the preset peak value;

[0167] The first rise duration deviation ratio is determined based on the first rise duration deviation value and the preset rise duration.

[0168] The first descent duration deviation ratio is determined based on the first descent duration deviation value and the preset descent duration.

[0169] Determine the first target weight corresponding to the first peak deviation ratio, the second target weight corresponding to the first rise duration deviation ratio, and the third target weight corresponding to the first fall duration deviation ratio;

[0170] The target sensitivity value is calculated based on the first peak deviation ratio, the first rise duration deviation ratio, the first fall duration deviation ratio, the first target weight, the second target weight, and the third target weight.

[0171] In some possible implementations, the procedure includes instructions for performing the following steps in determining the first target weight corresponding to the first peak deviation ratio, the second target weight corresponding to the first rise duration deviation ratio, and the third target weight corresponding to the first fall duration deviation ratio:

[0172] Obtain the first reference weight corresponding to the first peak deviation ratio, the second reference weight corresponding to the first rise duration deviation ratio, and the third reference weight corresponding to the first fall duration deviation ratio;

[0173] Obtain the target distance between the ignition device and the target partial discharge sensor;

[0174] Determine the first optimization factor corresponding to the target distance;

[0175] The first reference weight is optimized based on the first optimization factor to obtain the first target weight;

[0176] Obtain the target ignition energy value corresponding to the ignition device;

[0177] Determine the second optimization factor corresponding to the target ignition energy value;

[0178] The second reference weight is optimized based on the second optimization factor to obtain the second target weight;

[0179] Obtain the target capacitance corresponding to the target partial discharge sensor;

[0180] Determine the third optimization factor corresponding to the target capacitance;

[0181] The third reference weight is optimized based on the third optimization factor to obtain the third target weight.

[0182] In some possible implementations, the above procedure includes instructions for performing the following steps in calculating the target sensitivity value based on a first peak deviation ratio, a first rise duration deviation ratio, a first fall duration deviation ratio, a first target weight, a second target weight, and a third target weight:

[0183] The reference sensitivity value is calculated based on the first peak deviation ratio, the first rise duration deviation ratio, the first fall duration deviation ratio, the first target weight, the second target weight, and the third target weight.

[0184] Obtain historical sensitivity values ​​within a preset time period to obtain k historical sensitivity values; k is a positive integer, and each historical sensitivity value corresponds to a sensitivity detection time.

[0185] A fitted straight line is obtained by fitting k historical sensitivity values ​​and their corresponding sensitivity detection times; the horizontal axis of the fitted straight line is time and the vertical axis is the sensitivity value.

[0186] Obtain the first slope of the fitted line;

[0187] Determine the target fine-tuning parameters corresponding to the first slope;

[0188] The reference sensitivity value is fine-tuned based on the target fine-tuning parameters to obtain the target sensitivity value.

[0189] In some possible implementations, the above procedure includes instructions for performing the following steps in determining the target temperature compensation coefficient of the target partial discharge sensor based on multiple temperatures and multiple target sensitivity values:

[0190] By fitting multiple temperatures with multiple target sensitivity values, a linear curve of sensitivity change is obtained; the horizontal axis of the sensitivity change curve is temperature and the vertical axis is time sensitivity value.

[0191] Determine the slope of the linear curve corresponding to the sensitivity change to obtain the second slope;

[0192] Determine the temperature compensation coefficient corresponding to the second slope to obtain the target temperature compensation coefficient.

[0193] In some possible implementations, the above procedure includes instructions for performing the following steps in determining the temperature compensation coefficient corresponding to the second slope and obtaining the target temperature compensation coefficient:

[0194] Determine the reference temperature compensation coefficient corresponding to the second slope;

[0195] Obtain the thermal expansion coefficient corresponding to the target partial discharge sensor to obtain the target thermal expansion coefficient;

[0196] Determine the target adjustment parameters corresponding to the target coefficient of thermal expansion;

[0197] Adjust the reference temperature compensation coefficient according to the target adjustment parameters to obtain the target temperature compensation coefficient.

[0198] In some possible implementations, the above procedure includes instructions for performing the following steps:

[0199] If the second slope is greater than the preset slope, then the maximum and minimum values ​​among multiple temperatures are determined;

[0200] Determine the target difference between the maximum and minimum values;

[0201] Based on the minimum and maximum values, determine m interval ranges corresponding to the target difference; m is an integer greater than 1.

[0202] Multiple temperatures fall into m intervals;

[0203] Count the number of temperatures within m intervals to obtain m temperature values;

[0204] Obtain the weight corresponding to each of the m interval ranges, resulting in m weight values; the sum of the m weight values ​​is 1, and the weight value is smaller for interval ranges closer to the preset temperature.

[0205] Based on the m temperature values, determine the proportion of each interval range, and obtain the m proportions of each value.

[0206] The target deviation parameter is obtained by weighting the m quantity proportions with the m weights.

[0207] The target temperature compensation coefficient is obtained by adjusting the reference temperature compensation coefficient based on the target deviation parameter.

[0208] It should be understood that the electronic devices mentioned in this application may include smartphones (such as Android phones, iOS phones, Windows Phones, etc.), tablets, PDAs, laptops, mobile internet devices (MIDs) or wearable devices, servers, edge computing nodes, etc. The above-mentioned electronic devices are merely examples and not exhaustive, and include, but are not limited to, the electronic devices described above.

[0209] This application also provides a computer-readable storage medium storing a computer program that is executed by a processor to implement some or all of the steps of any of the temperature compensation coefficient determination methods described in the above method embodiments.

[0210] This application also provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the temperature compensation coefficient determination methods described in the above method embodiments.

[0211] It should be noted that, for the sake of simplicity, the aforementioned methods are described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are optional, and the actions and modules involved are not necessarily essential to this application.

[0212] In the above embodiments, the descriptions of each embodiment have their own emphasis. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0213] In the several embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical or other forms.

[0214] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0215] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software program module.

[0216] If the integrated unit is implemented as a software program module and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, 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. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard disk, magnetic disk, or optical disk.

[0217] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage device, which may include: flash drive, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0218] The embodiments of this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The above description of the embodiments is only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for determining a temperature compensation coefficient, characterized in that, Applied to a partial discharge system, the partial discharge system comprising: an ignition device and a partial discharge sensor, the method comprising: The ignition device is used to ignite the preset position of the target partial discharge sensor at multiple temperatures to obtain multiple output signals; each temperature corresponds to one output signal. The sensitivity value corresponding to each of the plurality of output signals is determined according to the determination method in steps S1-S5 below, thereby obtaining a plurality of target sensitivity values. The specific steps are as follows: S1. Determine the first peak value, the first rise duration, and the first fall duration corresponding to the first output signal; the first output signal is any one of the plurality of output signals. S2. Determine the deviation between the first peak value and the preset peak value to obtain the first peak value deviation value; S3. Determine the deviation value between the first rise duration and the preset rise duration to obtain the first rise duration deviation value. S4. Determine the deviation value between the first descent duration and the preset descent duration to obtain the first descent duration deviation value; S5. Determine the target sensitivity value corresponding to the first output signal based on the first peak deviation value, the first rise duration deviation value, and the first fall duration deviation value; The target temperature compensation coefficient of the target partial discharge sensor is determined based on the plurality of temperatures and the plurality of target sensitivity values; The measurement results of the target partial discharge sensor are corrected based on the target temperature compensation coefficient; Specifically, determining the target sensitivity value corresponding to the first output signal based on the first peak deviation value, the first rise duration deviation value, and the first fall duration deviation value includes: The first peak deviation ratio is determined based on the first peak deviation value and the preset peak value; The first rise duration deviation ratio is determined based on the first rise duration deviation value and the preset rise duration. The first descent duration deviation ratio is determined based on the first descent duration deviation value and the preset descent duration. Determine the first target weight corresponding to the first peak deviation ratio, the second target weight corresponding to the first rise duration deviation ratio, and the third target weight corresponding to the first fall duration deviation ratio; The target sensitivity value is calculated based on the first peak deviation ratio, the first rise duration deviation ratio, the first fall duration deviation ratio, the first target weight, the second target weight, and the third target weight.

2. The method as described in claim 1, characterized in that, The determination of the first target weight corresponding to the first peak deviation ratio, the second target weight corresponding to the first rise duration deviation ratio, and the third target weight corresponding to the first fall duration deviation ratio includes: Obtain the first reference weight corresponding to the first peak deviation ratio, the second reference weight corresponding to the first rising duration deviation ratio, and the third reference weight corresponding to the first falling duration deviation ratio; Obtain the target distance between the ignition device and the target partial discharge sensor; Determine the first optimization factor corresponding to the target distance; The first reference weight is optimized based on the first optimization factor to obtain the first target weight; Obtain the target ignition energy value corresponding to the ignition device; Determine a second optimization factor corresponding to the target ignition energy value; The second reference weight is optimized based on the second optimization factor to obtain the second target weight; Obtain the target capacitance corresponding to the target partial discharge sensor; Determine the third optimization factor corresponding to the target capacitance; The third reference weight is optimized based on the third optimization factor to obtain the third target weight.

3. The method as described in claim 2, characterized in that, The target sensitivity value is calculated based on the first peak deviation ratio, the first rise duration deviation ratio, the first fall duration deviation ratio, the first target weight, the second target weight, and the third target weight, including: A reference sensitivity value is obtained by calculating based on the first peak deviation ratio, the first rise duration deviation ratio, the first fall duration deviation ratio, the first target weight, the second target weight, and the third target weight; Obtain historical sensitivity values ​​within a preset time period to obtain k historical sensitivity values; k is a positive integer, and each historical sensitivity value corresponds to a sensitivity detection time. A fitted straight line is obtained by fitting the k historical sensitivity values ​​and the corresponding sensitivity detection times; the horizontal axis of the fitted straight line is time and the vertical axis is the sensitivity value. Obtain the first slope of the fitted line; Determine the target fine-tuning parameter corresponding to the first slope; The reference sensitivity value is fine-tuned according to the target fine-tuning parameters to obtain the target sensitivity value.

4. The method as described in claim 1, characterized in that, Determining the target temperature compensation coefficient of the target partial discharge sensor based on the plurality of temperatures and the plurality of target sensitivity values ​​includes: A sensitivity change line is obtained by fitting the multiple temperatures with the multiple target sensitivity values; the horizontal axis of the sensitivity change line is temperature and the vertical axis is the target sensitivity value. Determine the slope corresponding to the sensitivity change line to obtain the second slope; The temperature compensation coefficient corresponding to the second slope is determined to obtain the target temperature compensation coefficient.

5. The method as described in claim 4, characterized in that, The method further includes: Determine the reference temperature compensation coefficient corresponding to the second slope; If the second slope is greater than the preset slope, then the maximum and minimum values ​​among the plurality of temperatures are determined; Determine the target difference between the maximum value and the minimum value; Based on the minimum value and the maximum value, determine m interval ranges corresponding to the target difference; m is an integer greater than 1. The multiple temperatures fall within the m interval ranges; Count the number of temperatures within the m intervals to obtain m temperature values; Obtain the weight corresponding to each of the m interval ranges to get m weights; the sum of the m weights is 1, and the weight of the interval range that is closer to the preset temperature is smaller; Based on the m temperature values, determine the proportion of each interval range to obtain the m proportions. The target deviation parameter is obtained by performing a weighted calculation based on the m quantity proportions and the m weights; The target temperature compensation coefficient is obtained by adjusting the reference temperature compensation coefficient according to the target deviation parameter.

6. A device for determining a temperature compensation coefficient, characterized in that, The device is applied to a partial discharge system, which includes an ignition device and a partial discharge sensor; the temperature compensation coefficient determination device includes an ignition unit and a processing unit. The ignition unit is used to ignite the preset position of the target partial discharge sensor at multiple temperatures through the ignition device to obtain multiple output signals; each temperature corresponds to one output signal. The processing unit is configured to determine the sensitivity value corresponding to each of the plurality of output signals according to the determination method in steps S1-S5 below, thereby obtaining a plurality of target sensitivity values, specifically through the following steps: S1. Determine the first peak value, the first rise duration, and the first fall duration corresponding to the first output signal; the first output signal is any one of the plurality of output signals. S2. Determine the deviation between the first peak value and the preset peak value to obtain the first peak value deviation value; S3. Determine the deviation value between the first rise duration and the preset rise duration to obtain the first rise duration deviation value. S4. Determine the deviation value between the first descent duration and the preset descent duration to obtain the first descent duration deviation value; S5. Determine the target sensitivity value corresponding to the first output signal based on the first peak deviation value, the first rise duration deviation value, and the first fall duration deviation value; The target temperature compensation coefficient of the target partial discharge sensor is determined based on the plurality of temperatures and the plurality of target sensitivity values; The measurement results of the target partial discharge sensor are corrected based on the target temperature compensation coefficient; Specifically, determining the target sensitivity value corresponding to the first output signal based on the first peak deviation value, the first rise duration deviation value, and the first fall duration deviation value includes: The first peak deviation ratio is determined based on the first peak deviation value and the preset peak value; The first rise duration deviation ratio is determined based on the first rise duration deviation value and the preset rise duration. The first descent duration deviation ratio is determined based on the first descent duration deviation value and the preset descent duration. Determine the first target weight corresponding to the first peak deviation ratio, the second target weight corresponding to the first rise duration deviation ratio, and the third target weight corresponding to the first fall duration deviation ratio; The target sensitivity value is calculated based on the first peak deviation ratio, the first rise duration deviation ratio, the first fall duration deviation ratio, the first target weight, the second target weight, and the third target weight.

7. An electronic device, characterized in that, The method includes a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the one or more programs include instructions for performing the steps of the method according to any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that is executed by a processor to implement the method as described in any one of claims 1-5.

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