Discharge measurement method and device based on optoelectronic integrated electric field sensor

Abstract

The application relates to a discharge measurement method and device based on an optoelectronic integrated electric field sensor, computer equipment, a readable storage medium and a program product, and relates to the technical field of optoelectronic measurement. The method comprises the following steps: in response to a discharge measurement instruction for a target discharge device, performing performance detection on an optoelectronic sensor to obtain a performance detection result of the optoelectronic sensor; the optoelectronic sensor is an optoelectronic sensor based on the Pockels effect; when the performance detection result reaches a performance threshold value, performing discharge measurement on the target discharge device by using the optoelectronic sensor to obtain an optical signal output by the optoelectronic sensor and corresponding to the target discharge device; performing signal conversion on the optical signal to obtain a discharge signal of the target discharge device; performing signal analysis on the discharge signal to obtain a signal analysis result of the target discharge device; and the signal analysis result is used for representing signal change conditions of the discharge signal in the time dimension and the frequency dimension. The method can improve the discharge measurement accuracy.

Description

Technical Field

[0001] This application relates to the field of optoelectronic measurement technology, and in particular to a discharge measurement method, apparatus, computer equipment, readable storage medium, and program product based on an optoelectronic integrated electric field sensor. Background Technology

[0002] With the rapid increase in electricity demand, power grid systems are becoming increasingly complex. To ensure the stability and reliability of the power grid system, it is necessary to perform discharge measurements on the power grid equipment to detect insulation defects in a timely manner, thereby enabling maintenance and repair of the equipment and ensuring the safe and stable operation of the power grid system.

[0003] Currently, the discharge monitoring of power grid equipment is usually carried out by human observation. However, this method, which relies on human subjective awareness, cannot guarantee the accuracy of discharge measurement. Summary of the Invention

[0004] Therefore, it is necessary to provide a discharge measurement method, device, computer equipment, computer-readable storage medium, and computer program product based on an optoelectronic integrated electric field sensor that can improve the accuracy of discharge measurement, addressing the aforementioned technical problems.

[0005] In a first aspect, this application provides a discharge measurement method based on an integrated photoelectric field sensor, comprising: responding to a discharge measurement command for a target discharge device, performing performance testing on a photoelectric sensor to obtain a performance testing result of the photoelectric sensor; the photoelectric sensor is a photoelectric sensor based on the Paulckel effect; when the performance testing result reaches a performance threshold, performing discharge measurement on the target discharge device through the photoelectric sensor to obtain an optical signal output by the photoelectric sensor for the target discharge device; converting the optical signal to obtain a discharge signal of the target discharge device; performing signal analysis on the discharge signal to obtain a signal analysis result of the target discharge device; the signal analysis result is used to characterize the signal changes of the discharge signal in the time and frequency dimensions.

[0006] In one embodiment, the target discharge device includes a first discharge device in corona discharge mode and a second discharge device in dielectric barrier discharge mode; the optical signal includes a first optical signal for the first discharge device and a second optical signal for the second discharge device; the target discharge device is discharged using a photoelectric sensor to obtain the optical signal output by the photoelectric sensor for the target discharge device, including: performing corona discharge measurement on the first discharge device using the photoelectric sensor to obtain the first optical signal output by the photoelectric sensor for the first discharge device; and performing dielectric barrier discharge measurement on the second discharge device using the photoelectric sensor to obtain the second optical signal output by the photoelectric sensor for the second discharge device.

[0007] In one embodiment, a discharge measurement is performed on the target discharge device using a photoelectric sensor to obtain an optical signal output by the photoelectric sensor for the target discharge device. This includes: measuring the discharge of the target discharge device using the sensing element of the photoelectric sensor to obtain parameter changes of the sensing element during the discharge process of the target discharge device; and determining the optical signal of the target discharge device based on the parameter changes.

[0008] In one embodiment, signal analysis is performed on the discharge signal to obtain the signal analysis results of the target discharge device, including: performing continuous wavelet transform on the discharge signal to obtain the time-domain and frequency-domain features of the discharge signal; and performing signal analysis on the discharge signal based on the time-domain and frequency-domain features to obtain the signal analysis results of the target discharge device.

[0009] In one embodiment, signal analysis is performed on the discharge signal based on time-domain and frequency-domain features to obtain the signal analysis results of the target discharge device, including: performing time-domain analysis on the discharge signal based on time-domain features to obtain the changing trend of the discharge signal of the target discharge device over time; performing frequency-domain analysis on the discharge signal based on frequency-domain features to obtain the distribution trend of the discharge signal of the target discharge device at different frequencies; and using the distribution trend and the changing trend together as the signal analysis results of the target discharge device.

[0010] In one embodiment, in response to a discharge measurement command for a target discharge device, the photoelectric sensor is subjected to performance testing to obtain a performance testing result of the photoelectric sensor, including: in response to a discharge measurement command for a target discharge device, obtaining the discharge measurement requirements indicated by the discharge measurement command; determining performance testing indicators that match the discharge measurement requirements; and performing performance testing on the photoelectric sensor based on the performance testing indicators to obtain a performance testing result of the photoelectric sensor.

[0011] Secondly, this application also provides a discharge measurement device based on an integrated photoelectric electric field sensor, comprising: a photoelectric sensor detection module, used to perform performance detection on the photoelectric sensor in response to a discharge measurement command for a target discharge device, and obtain the performance detection result of the photoelectric sensor; the photoelectric sensor is a photoelectric sensor based on the Paul Kers effect; a discharge measurement module, used to perform discharge measurement on the target discharge device through the photoelectric sensor when the performance detection result reaches a performance threshold, and obtain an optical signal output by the photoelectric sensor for the target discharge device; a signal conversion module, used to convert the optical signal into a discharge signal for the target discharge device; and a signal analysis module, used to perform signal analysis on the discharge signal and obtain the signal analysis result of the target discharge device; the signal analysis result is used to characterize the signal changes of the discharge signal in the time and frequency dimensions.

[0012] Thirdly, this application also provides a computer device, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to perform the following steps: responding to a discharge measurement command for a target discharge device, performing performance detection on a photoelectric sensor to obtain a performance detection result of the photoelectric sensor; the photoelectric sensor is a photoelectric sensor based on the Paulckel effect; when the performance detection result reaches a performance threshold, performing discharge measurement on the target discharge device through the photoelectric sensor to obtain an optical signal output by the photoelectric sensor for the target discharge device; converting the optical signal to obtain a discharge signal of the target discharge device; performing signal analysis on the discharge signal to obtain a signal analysis result of the target discharge device; the signal analysis result is used to characterize the signal changes of the discharge signal in the time and frequency dimensions.

[0013] Fourthly, this application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, performs the following steps: in response to a discharge measurement command for a target discharge device, performs performance detection on a photoelectric sensor to obtain a performance detection result of the photoelectric sensor; the photoelectric sensor is a photoelectric sensor based on the Paul Kers effect; when the performance detection result reaches a performance threshold, performs discharge measurement on the target discharge device through the photoelectric sensor to obtain an optical signal output by the photoelectric sensor for the target discharge device; converts the optical signal to obtain a discharge signal of the target discharge device; performs signal analysis on the discharge signal to obtain a signal analysis result of the target discharge device; the signal analysis result is used to characterize the signal changes of the discharge signal in the time and frequency dimensions.

[0014] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps: in response to a discharge measurement command for a target discharge device, performs performance detection on a photoelectric sensor to obtain a performance detection result of the photoelectric sensor; the photoelectric sensor is a photoelectric sensor based on the Paulckel effect; when the performance detection result reaches a performance threshold, performs discharge measurement on the target discharge device through the photoelectric sensor to obtain an optical signal output by the photoelectric sensor for the target discharge device; converts the optical signal to obtain a discharge signal of the target discharge device; performs signal analysis on the discharge signal to obtain a signal analysis result of the target discharge device; the signal analysis result is used to characterize the signal changes of the discharge signal in the time and frequency dimensions.

[0015] The aforementioned discharge measurement method, apparatus, computer equipment, computer-readable storage medium, and computer program product based on an integrated photoelectric field sensor, responding to a discharge measurement command for a target discharge device, first performs performance testing on the photoelectric sensor to ensure its stable operation, laying the foundation for subsequent discharge measurement. Next, the photoelectric sensor's performance is tested again, and if the performance test is passed, the target discharge device is measured using the photoelectric sensor, obtaining an optical signal. It should be noted that the photoelectric sensor is based on the Pockels effect, a linear electro-optic effect where the change in refractive index is proportional to the magnitude of the applied electric field. This allows the photoelectric sensor based on this effect to measure the weak electric field changes generated by discharge with high precision, ensuring the accuracy of the discharge measurement. Finally, the optical signal is converted into a discharge signal for multi-dimensional signal analysis, obtaining the signal changes of the target discharge device in the time and frequency dimensions. This is beneficial for subsequent maintenance and optimization of the discharge device based on the signal analysis results. Therefore, this application overcomes the current technical shortcomings of inaccurate discharge measurement for power grid equipment and effectively improves the accuracy of discharge measurement. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is an application environment diagram of a discharge measurement method based on an optoelectronic integrated electric field sensor in one embodiment;

[0018] Figure 2 This is a flowchart illustrating a discharge measurement method based on an optoelectronic integrated electric field sensor in one embodiment.

[0019] Figure 3 This is a schematic diagram of the discharge measurement process for two types of discharge devices in one embodiment;

[0020] Figure 4 This is a schematic diagram of a first discharge device in a corona discharge mode in one embodiment;

[0021] Figure 5 This is a schematic diagram of a second discharge device in a dielectric barrier discharge mode in one embodiment;

[0022] Figure 6 This is a schematic diagram of the optical signal generation process in one embodiment;

[0023] Figure 7 This is a flowchart illustrating the signal analysis process in one embodiment;

[0024] Figure 8 This is a flowchart illustrating the signal analysis process in another embodiment;

[0025] Figure 9 This is a schematic diagram showing the signal analysis results of the discharge signal of the first discharge device in one embodiment.

[0026] Figure 10 This is a schematic diagram showing the signal analysis results of the discharge signal of the second discharge device in one embodiment.

[0027] Figure 11 This is a schematic diagram of the detection process of a photoelectric sensor in one embodiment;

[0028] Figure 12 This is a structural block diagram of a discharge measurement device based on an optoelectronic integrated electric field sensor in one embodiment;

[0029] Figure 13 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0030] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0031] The discharge measurement method based on an optoelectronic integrated electric field sensor provided in this application embodiment can be applied to, for example... Figure 1 In the application environment shown, server 102 is connected to terminal 104 and photoelectric sensor 106. Server 102 can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. Terminal 104 can be, but is not limited to, various personal computers, laptops, smartphones, and tablets. Photoelectric sensor 106 is a photoelectric sensor based on the Paul Kern effect.

[0032] Specifically, in response to the discharge measurement command initiated by the terminal 104 for the target discharge device, the server 102 first performs performance testing on the photoelectric sensor 106 to obtain the performance test result. When the performance test result of the photoelectric sensor 106 reaches the performance threshold, the server performs discharge measurement on the target discharge device through the photoelectric sensor 106 to obtain the optical signal output by the photoelectric sensor 106 for the target discharge device. The server 102 performs signal conversion on the optical signal to obtain the discharge signal of the target discharge device. The server then performs signal analysis on the discharge signal to obtain the signal changes of the target discharge device in the time and frequency dimensions.

[0033] In one exemplary embodiment, such as Figure 2 As shown, a discharge measurement method based on an optoelectronic integrated electric field sensor is provided, which can be applied to... Figure 1 Taking server 102 as an example, the explanation includes:

[0034] Step S202: In response to the discharge measurement command for the target discharge device, the performance of the photoelectric sensor is tested to obtain the performance test result of the photoelectric sensor; the photoelectric sensor is a photoelectric sensor based on the Pockels effect.

[0035] The target discharge device refers to the device that requires discharge measurement. The discharge measurement command is the instruction to perform discharge measurement on the target discharge device. Discharge measurement detects discharge phenomena occurring in the target discharge device during operation, further assessing its insulation condition and reliability, ensuring the normal operation and safe use of the discharge device. The Pockels effect refers to the phenomenon where the refractive index of certain crystalline materials changes linearly under the influence of an applied electric field. In other words, a photoelectric sensor is a sensor that utilizes the electro-optic properties of such crystalline materials to measure discharge phenomena. In this embodiment, the crystalline material is lithium niobate, an electro-optic crystal capable of sensitively sensing changes in the applied electric field. Performance test results can be used to characterize the performance of the photoelectric sensor; these results can be a specific numerical value, a percentage, or a grade.

[0036] For example, when the server receives a discharge measurement command from the terminal for the target discharge device, it can first perform a performance test on the photoelectric sensor used for the discharge measurement. That is, it tests the performance of the photoelectric sensor to ensure that the optical signal detected by the photoelectric sensor is sufficiently accurate.

[0037] In one example, a tool specifically designed for testing the performance of photoelectric sensors can be used to perform performance testing on the photoelectric sensor. Alternatively, a suitable testing strategy can be set according to the actual situation, and the performance of the photoelectric sensor can be tested according to this strategy.

[0038] Step S204: When the performance test result reaches the performance threshold, the target discharge device is measured by a photoelectric sensor to obtain the optical signal output by the photoelectric sensor for the target discharge device.

[0039] The performance threshold can be a pre-defined benchmark value for the performance test results. It can be a specific numerical value, a specific percentage, or a specific level. Reaching this performance threshold indicates that the photoelectric sensor is currently performing well and can accurately perform discharge measurements. The optical signal refers to the light signal output by the photoelectric sensor. This light signal can be represented by the electro-optical properties of the crystal material in the photoelectric sensor. In other words, when the electric field released by the target discharge device acts on the lithium niobate crystal in the photoelectric sensor, the electro-optical properties of the crystal change, thereby generating a light signal.

[0040] For example, once the server determines that the optical sensor is functioning well, it can instruct the photoelectric sensor to perform discharge measurements on the target discharge device. In this process, the photoelectric sensor can perform non-contact discharge measurements on the target discharge device, effectively avoiding measurement errors caused by contact and ensuring the accuracy of the discharge measurement. The lithium niobate crystal on the photoelectric sensor can accurately and sensitively sense and measure the changes in the electric field generated by the discharge of the target discharge device, thereby generating an optical signal.

[0041] Step S206: Convert the optical signal to obtain the discharge signal of the target discharge device.

[0042] Signal conversion is the process of converting optical signals into electrical signals. Discharge signals refer to the electrical signals generated by the target discharge device during discharge measurement.

[0043] For example, after receiving the optical signal from the target discharge device, the photoelectric sensor can send the optical signal to the server. The photoelectric conversion unit in the server then performs signal conversion, that is, converts the optical signal into an electrical signal.

[0044] In one example, the photoelectric sensor can be connected to the photoelectric conversion unit in the server via optical fiber, enabling long-distance discharge measurement. The photoelectric conversion unit can be a photodiode, a semiconductor device that converts light signals into electrical signals. When a light signal is transmitted to a photodiode, photons are absorbed, causing electrons to transition from the valence band to the conduction band, thereby generating a current.

[0045] Step S208: Perform signal analysis on the discharge signal to obtain the signal analysis results of the target discharge device; the signal analysis results are used to characterize the signal changes of the discharge signal in the time and frequency dimensions.

[0046] For example, after the photoelectric conversion unit in the server converts the optical signal sent by the photoelectric sensor into an electrical signal, in order to better characterize the discharge signal, the server can further analyze the discharge signal, that is, analyze the changes of the discharge signal in the time dimension and frequency dimension.

[0047] In one example, the server can perform signal analysis on the discharge signal using an oscilloscope, an electronic measuring instrument that converts electrical signals into visible images, thus facilitating the study and analysis of the changing processes of various electrical signals.

[0048] In this embodiment, in response to a discharge measurement command for the target discharge device, the server first performs performance testing on the photoelectric sensor to ensure its stable operation, laying the foundation for subsequent discharge measurements. Next, the photoelectric sensor's performance is tested again, and if the performance test passes, the target discharge device is measured using the photoelectric sensor, resulting in an optical signal. It should be noted that the photoelectric sensor is based on the Pockels effect, a linear electro-optic effect where the change in refractive index is proportional to the magnitude of the applied electric field. This allows the photoelectric sensor based on this effect to measure the weak electric field changes generated by the discharge with high precision, ensuring the accuracy of the discharge measurement. Finally, the optical signal is converted into a discharge signal for multi-dimensional signal analysis, obtaining the signal changes of the target discharge device in the time and frequency dimensions. This is beneficial for subsequent maintenance and optimization of the discharge device based on the signal analysis results. Therefore, this embodiment overcomes the current technical shortcomings of inaccurate discharge measurements for power grid equipment, effectively improving the accuracy of discharge measurements.

[0049] In one exemplary embodiment, such as Figure 3 As shown, a photoelectric sensor is used to measure the discharge of a target discharge device, and the optical signal output by the photoelectric sensor for the target discharge device is obtained, including:

[0050] Step S302: The first discharge device is subjected to corona discharge measurement by a photoelectric sensor to obtain the first optical signal output by the photoelectric sensor for the first discharge device.

[0051] Step S304: Using a photoelectric sensor, a dielectric barrier discharge measurement is performed on the second discharge device to obtain a second optical signal output by the photoelectric sensor for the second discharge device.

[0052] The target discharge devices include a first discharge device in corona discharge mode and a second discharge device in dielectric barrier discharge mode. Corona discharge refers to the localized self-sustaining discharge of a gaseous medium in a non-uniform electric field, while dielectric barrier discharge is a non-equilibrium gas discharge in which an insulating medium is inserted into the discharge space. The optical signals include a first optical signal for the first discharge device and a second optical signal for the second discharge device. That is, the first optical signal is the light signal obtained by measuring the discharge of the discharge device in corona discharge mode. The second optical signal is the light signal obtained by measuring the discharge of the discharge device in dielectric barrier discharge mode.

[0053] For example, this embodiment mainly measures two discharge phenomena: corona discharge and dielectric barrier discharge. Using optical sensors, discharge measurements are performed on a first discharge device in corona discharge mode and a second discharge device in dielectric barrier discharge mode, thereby obtaining the optical signals of each discharge device.

[0054] In one example, Figure 4 A schematic diagram of the first discharge device in corona discharge mode is shown. It is a needle-plate corona discharge device with a needle tip at the top having a radius of 200 µm, and a distance of 2 cm between the needle tip and the plate electrode at the bottom. An 8 kV AC power supply is provided, and discharge measurements are performed at a frequency of 50 Hz. A photoelectric sensor can be placed within 1 cm of the needle tip to capture changes in the electric field near the device.

[0055] In one example, Figure 5 A schematic diagram of a second discharge device in dielectric barrier discharge mode is shown. A spherical high-voltage electrode is located at the top, and a grounding plane is located below. A 1mm thick layer of polytetrafluoroethylene (PTFE) is placed between the spherical high-voltage electrode and the grounding plane as a dielectric barrier. Discharge measurements are performed using a 12kV AC power supply. A photoelectric sensor is also placed within 1cm of the spherical high-voltage electrode to capture changes in the electric field near the device.

[0056] In this embodiment, by performing discharge measurements on the first discharge device in corona discharge mode and the second discharge device in dielectric barrier discharge mode, the measurement accuracy for corona discharge and dielectric barrier discharge phenomena is improved.

[0057] In one exemplary embodiment, such as Figure 6 As shown, a photoelectric sensor is used to measure the discharge of a target discharge device, and the optical signal output by the photoelectric sensor for the target discharge device is obtained, including:

[0058] Step S602: The target discharge device is measured by the sensing element of the photoelectric sensor to obtain the parameter changes of the sensing element during the discharge process of the target discharge device.

[0059] Step S604: Determine the optical signal of the target discharge device based on parameter changes.

[0060] The sensing element can refer to the electro-optic probe of a photoelectric sensor, which is made of lithium niobate crystal. The electro-optic properties of lithium niobate crystal are reflected in parameter changes, specifically changes in its refractive index. In other words, the electro-optic probe of a photoelectric sensor can detect changes in the electric field. Under the influence of an applied electric field, the refractive index of the lithium niobate crystal in the probe changes. This change in refractive index alters the phase of the light wave, thus generating an optical signal.

[0061] For example, the photoelectric sensor can be placed near the target discharge device. When the server instructs the photoelectric sensor to perform a discharge measurement, the electro-optic probe of the photoelectric sensor will sense the corona discharge and / or dielectric barrier discharge of the target discharge device, thereby causing a change in the refractive index of the lithium niobate crystal in the electro-optic probe, which in turn causes a change in the phase of the light wave and generates an optical signal.

[0062] In this embodiment, the sensing element, namely the electro-optic probe, can sensitively detect changes in the electric field, thereby generating changes in the refractive index to determine the optical signal of the target discharge device, thus improving the accuracy of discharge measurement.

[0063] In one exemplary embodiment, such as Figure 7 As shown, signal analysis is performed on the discharge signal to obtain the signal analysis results of the target discharge device, including:

[0064] Step S702: Perform continuous wavelet transform on the discharge signal to obtain the time-domain and frequency-domain characteristics of the discharge signal.

[0065] The Continuous Wavelet Transform (CWT) is a mathematical tool used to decompose a signal into wavelets or waveforms that constitute it. The oscilloscope in step S208 can be an oscilloscope based on the CWT. Time-domain characteristics describe the characteristics of the discharge signal as it changes over time, such as waveform characteristics including waveform shape, amplitude, and period; statistical characteristics including mean, maximum, and minimum values; and dynamic characteristics including rise time and fall time. Frequency-domain characteristics describe the characteristics of the discharge signal at different frequencies, such as spectral components, amplitude spectrum, power spectrum, and phase.

[0066] For example, after obtaining the discharge signal from the target discharge device, the server can perform continuous wavelet transform on the discharge signal, that is, decompose the discharge signal into wavelets or waveforms, and then extract features from the time dimension and frequency dimension respectively to obtain the characteristics of the discharge signal changing over time and the characteristics at different frequencies.

[0067] Step S704: Based on time-domain and frequency-domain characteristics, perform signal analysis on the discharge signal to obtain the signal analysis results of the target discharge device.

[0068] For example, after the server extracts the time-domain and frequency-domain features of the discharge signal, it can perform time-domain and frequency-domain analysis on the discharge signal based on the time-domain and frequency-domain features to obtain the signal analysis results of the target discharge device.

[0069] In this embodiment, continuous wavelet transform is performed on the discharge signal to extract its time-domain and frequency-domain features for signal analysis. This ensures the accuracy of the time-domain and frequency-domain features, thereby ensuring the accuracy of the signal analysis and improving the overall accuracy of the discharge measurement.

[0070] In one exemplary embodiment, such as Figure 8 As shown, based on time-domain and frequency-domain characteristics, signal analysis is performed on the discharge signal to obtain the signal analysis results of the target discharge device, including:

[0071] Step S802: Based on the time domain characteristics, perform time domain analysis on the discharge signal to obtain the changing trend of the discharge signal of the target discharge device over time.

[0072] For example, after extracting the time-domain features of the discharge signal, the server can perform time-domain analysis based on these features. This includes waveform analysis, which involves observing the waveform of the discharge signal and analyzing its shape, amplitude, period, and other characteristics. By comparing waveforms at different time points, it can be determined whether the discharge signal is stable or exhibits abnormal changes. Trend analysis involves statistically analyzing the changes in the extracted time-domain features over time. Charts or trend lines can be used to visually display the trend of the discharge signal over time. For example, a curve showing the peak value of the discharge signal changing over time can be plotted to observe whether it exhibits an upward trend, a downward trend, or a fluctuating trend. Anomaly detection can also be performed, monitoring for abnormal discharge signals in real time during trend analysis. Abnormal signals may manifest as a sudden increase in peak value, frequency changes, or waveform distortion. These abnormal signals may indicate a fault or impending fault in the target discharge device.

[0073] Step S804: Based on the frequency domain characteristics, perform frequency domain analysis on the discharge signal to obtain the distribution trend of the discharge signal of the target discharge device at different frequencies.

[0074] For example, after extracting the frequency domain features of the discharge signal, the server can perform frequency domain analysis on the discharge signal based on these features. This includes frequency component analysis, which involves observing the spectrum and analyzing the main frequency components contained in the discharge signal. It can also identify abnormal frequency components such as high-frequency noise or low-frequency interference. Amplitude distribution analysis involves analyzing the signal amplitude at different frequencies to understand the intensity distribution of the discharge signal at different frequencies.

[0075] Step S806: The distribution trend and the change trend are used together as the signal analysis result of the target discharge device.

[0076] For example, the server uses the time-varying trend of the discharge signal of the target discharge device and the distribution trend at different frequencies as the signal analysis results of the target discharge device, so that technicians can maintain the target discharge device based on these signal analysis results.

[0077] In one example, Figure 9 The signal analysis results of the discharge signal from the first discharge device are shown. During the discharge process, the photoelectric sensor detected that the discharge signal from the first discharge device exhibited a pulsed pattern. The pulse amplitude was larger in the positive half-cycle, with an electric field strength reaching 35 kV / m. The pulse amplitude was smaller in the negative half-cycle, but the number of pulses was greater.

[0078] In one example, Figure 10 The signal analysis results of the discharge signal from the second discharge device are shown. Under an AC voltage of 12 kV, the electric field signal captured by the photoelectric sensor shows multiple pulses appearing in both the positive and negative half-cycles. The electric field strength is approximately 78 kV / m. Because the discharge mechanism in dielectric barrier discharge differs from that in corona discharge, the shape, number, and amplitude of the electric field pulses also differ from those obtained under corona discharge.

[0079] In this embodiment, by performing time-domain and frequency-domain analysis on the discharge signal, the time-domain and frequency-domain distribution of the discharge signal are better characterized, thereby improving the reliability and accuracy of the signal analysis results and facilitating subsequent maintenance of the target discharge equipment.

[0080] In one exemplary embodiment, such as Figure 11 As shown, in response to a discharge measurement command for a target discharge device, the performance of the photoelectric sensor is tested, and the performance test results of the photoelectric sensor include:

[0081] Step S1102: In response to a discharge measurement command for the target discharge device, obtain the discharge measurement requirement indicated by the discharge measurement command.

[0082] Among them, discharge measurement requirements can refer to the information required for discharge measurement of the target discharge device, such as measurement accuracy, measurement time, and measurement efficiency.

[0083] For example, when the server performs performance testing on the photoelectric sensor, it can first parse the discharge measurement command to obtain the discharge measurement requirements.

[0084] Step S1104: Determine the performance testing indicators that match the discharge measurement requirements.

[0085] Among them, performance testing indicators can refer to various indicators for testing the performance of photoelectric sensors, such as measurement speed, measurement accuracy, sensitivity, resolution, response time, and stability.

[0086] For example, after receiving a discharge measurement request, the server can match the request with multiple candidate measurement indicators to select the performance testing indicator that best meets the discharge measurement requirements, thereby performing targeted performance testing on the photoelectric sensor. This improves both the efficiency and accuracy of performance testing.

[0087] Step S1106: Based on the performance testing indicators, perform performance testing on the photoelectric sensor to obtain the performance testing results of the photoelectric sensor.

[0088] For example, after the server matches the performance test indicators, it can perform performance tests on the photoelectric sensor according to each performance test indicator, thereby obtaining the performance test results of the photoelectric sensor.

[0089] In this embodiment, by selecting performance testing indicators that meet the requirements of discharge measurement, the performance of the photoelectric sensor can be tested. This not only improves the efficiency of performance testing but also improves the accuracy of performance testing, laying the foundation for subsequent discharge measurement of the target discharge device.

[0090] In one specific embodiment, the discharge measurement method based on an integrated photoelectric field sensor includes: when the server receives discharge measurement commands for a first discharge device in corona discharge mode and a second discharge device in dielectric barrier discharge mode, it first parses the discharge measurement requirements carried in the discharge measurement commands. This determines the performance testing indicators that match the discharge measurement requirements. Based on the performance testing indicators, the performance of the photoelectric sensor based on the Pockels effect is tested to obtain the performance testing results of the photoelectric sensor. When the performance testing results reach a performance threshold, discharge measurements are performed on the first and second discharge devices respectively using the photoelectric sensor to obtain the first optical signal of the first discharge device and the second optical signal of the second discharge device. The first and second optical signals are converted to obtain the discharge signals of the first and second discharge devices respectively. Finally, continuous wavelet transforms are performed on the discharge signals of the two discharge devices to obtain the corresponding time-domain and frequency-domain features. Based on each time-domain feature, time-domain analysis is performed on the two discharge signals to obtain the changing trends of the two discharge signals over time. Based on each frequency-domain feature, frequency-domain analysis is performed on the two discharge signals to obtain the distribution trends of the two discharge signals at different frequencies. The distribution trends and changing trends are combined as the signal analysis results.

[0091] In this embodiment, in response to discharge measurement commands for the first discharge device in corona discharge mode and the second discharge device in dielectric barrier discharge mode, the server first performs performance testing on the photoelectric sensor to ensure its stable operation, laying the foundation for subsequent discharge measurements. Next, the photoelectric sensor's performance is tested again, and if the performance test passes, discharge measurements are performed on the first and second discharge devices using the photoelectric sensor to obtain optical signals. It should be noted that the photoelectric sensor is based on the Pockels effect, a linear electro-optic effect where the change in refractive index is proportional to the magnitude of the applied electric field. This allows the photoelectric sensor based on this effect to measure the weak electric field changes generated by the discharge with high precision, ensuring the accuracy of the discharge measurement. Finally, the optical signal is converted into a discharge signal for multi-dimensional signal analysis, obtaining the signal changes of the first and second discharge devices in the time and frequency dimensions. This is beneficial for subsequent maintenance and optimization of the first and second discharge devices based on the signal analysis results. Therefore, this embodiment can overcome the technical defects of the current inaccurate discharge measurement of corona discharge and dielectric barrier discharge phenomena, and effectively improve the measurement accuracy of corona discharge and dielectric barrier discharge phenomena.

[0092] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0093] Based on the same inventive concept, this application also provides a discharge measurement device based on an integrated photoelectric field sensor for implementing the discharge measurement method based on the integrated photoelectric field sensor described above. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more embodiments of the discharge measurement device based on an integrated photoelectric field sensor provided below can be found in the limitations of the discharge measurement method based on the integrated photoelectric field sensor described above, and will not be repeated here.

[0094] In one exemplary embodiment, such as Figure 12 As shown, a discharge measurement device based on an integrated photoelectric electric field sensor is provided, comprising: a photoelectric sensor detection module 1202, used to perform performance detection on the photoelectric sensor in response to a discharge measurement command for a target discharge device, and obtain the performance detection result of the photoelectric sensor; the photoelectric sensor is a photoelectric sensor based on the Paul Kers effect; a discharge measurement module 1204, used to perform discharge measurement on the target discharge device through the photoelectric sensor when the performance detection result reaches a performance threshold, and obtain the optical signal output by the photoelectric sensor for the target discharge device; a signal conversion module 1206, used to convert the optical signal into a discharge signal for the target discharge device; and a signal analysis module 1208, used to perform signal analysis on the discharge signal and obtain the signal analysis result of the target discharge device; the signal analysis result is used to characterize the signal changes of the discharge signal in the time and frequency dimensions.

[0095] In one embodiment, the target discharge device includes a first discharge device in corona discharge mode and a second discharge device in dielectric barrier discharge mode; the optical signal includes a first optical signal for the first discharge device and a second optical signal for the second discharge device; the discharge measurement module 1204 is further configured to: perform corona discharge measurement on the first discharge device using a photoelectric sensor to obtain the first optical signal output by the photoelectric sensor for the first discharge device; and perform dielectric barrier discharge measurement on the second discharge device using a photoelectric sensor to obtain the second optical signal output by the photoelectric sensor for the second discharge device.

[0096] In one embodiment, the discharge measurement module 1204 is further configured to: measure the discharge of the target discharge device using the sensing element of the photoelectric sensor, and obtain the parameter changes of the sensing element during the discharge process of the target discharge device; and determine the optical signal of the target discharge device based on the parameter changes.

[0097] In one embodiment, the signal analysis module 1208 is further configured to: perform continuous wavelet transform on the discharge signal to obtain the time-domain and frequency-domain features of the discharge signal; and perform signal analysis on the discharge signal based on the time-domain and frequency-domain features to obtain the signal analysis results of the target discharge device.

[0098] In one embodiment, the signal analysis module 1208 is further configured to: perform time-domain analysis on the discharge signal based on time-domain characteristics to obtain the changing trend of the discharge signal of the target discharge device over time; perform frequency-domain analysis on the discharge signal based on frequency-domain characteristics to obtain the distribution trend of the discharge signal of the target discharge device at different frequencies; and use the distribution trend and the changing trend together as the signal analysis result of the target discharge device.

[0099] In one embodiment, the photoelectric sensor detection module 1202 is further configured to: in response to a discharge measurement command for a target discharge device, acquire the discharge measurement requirements indicated by the discharge measurement command; determine performance detection indicators that match the discharge measurement requirements; and perform performance testing on the photoelectric sensor based on the performance detection indicators to obtain the performance testing results of the photoelectric sensor.

[0100] Each module in the aforementioned discharge measurement device based on an integrated photoelectric electric field sensor can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0101] In one exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 13As shown, the computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database stores discharge measurement data. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a discharge measurement method based on an optoelectronic integrated electric field sensor.

[0102] Those skilled in the art will understand that Figure 13 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0103] In an exemplary embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to perform the following steps: in response to a discharge measurement command for a target discharge device, performing performance detection on a photoelectric sensor to obtain a performance detection result of the photoelectric sensor; the photoelectric sensor is a photoelectric sensor based on the Paulckes effect; when the performance detection result reaches a performance threshold, performing discharge measurement on the target discharge device through the photoelectric sensor to obtain an optical signal output by the photoelectric sensor for the target discharge device; converting the optical signal to obtain a discharge signal of the target discharge device; performing signal analysis on the discharge signal to obtain a signal analysis result of the target discharge device; the signal analysis result is used to characterize the signal changes of the discharge signal in the time and frequency dimensions.

[0104] In one embodiment, when the processor executes the computer program, it further performs the following steps: measuring the corona discharge of the first discharge device using a photoelectric sensor to obtain a first optical signal output by the photoelectric sensor for the first discharge device; and measuring the dielectric barrier discharge of the second discharge device using a photoelectric sensor to obtain a second optical signal output by the photoelectric sensor for the second discharge device.

[0105] In one embodiment, when the processor executes the computer program, it further performs the following steps: measuring the discharge of the target discharge device using the sensing element of the photoelectric sensor to obtain the parameter changes of the sensing element during the discharge process of the target discharge device; and determining the optical signal of the target discharge device based on the parameter changes.

[0106] In one embodiment, when the processor executes the computer program, it further performs the following steps: performing continuous wavelet transform on the discharge signal to obtain the time-domain and frequency-domain features of the discharge signal; and performing signal analysis on the discharge signal based on the time-domain and frequency-domain features to obtain the signal analysis results of the target discharge device.

[0107] In one embodiment, when the processor executes the computer program, it further performs the following steps: based on time-domain characteristics, performs time-domain analysis on the discharge signal to obtain the changing trend of the discharge signal of the target discharge device over time; based on frequency-domain characteristics, performs frequency-domain analysis on the discharge signal to obtain the distribution trend of the discharge signal of the target discharge device at different frequencies; and uses the distribution trend and the changing trend together as the signal analysis result of the target discharge device.

[0108] In one embodiment, when the processor executes the computer program, it further performs the following steps: in response to a discharge measurement command for a target discharge device, it acquires the discharge measurement requirements indicated by the discharge measurement command; determines the performance testing index that matches the discharge measurement requirements; and performs performance testing on the photoelectric sensor based on the performance testing index to obtain the performance testing result of the photoelectric sensor.

[0109] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon. When executed by a processor, the computer program performs the following steps: in response to a discharge measurement command for a target discharge device, a performance test is performed on a photoelectric sensor to obtain a performance test result of the photoelectric sensor; the photoelectric sensor is a photoelectric sensor based on the Paul Kers effect; when the performance test result reaches a performance threshold, a discharge measurement is performed on the target discharge device using the photoelectric sensor to obtain an optical signal output by the photoelectric sensor for the target discharge device; the optical signal is converted into a signal to obtain a discharge signal of the target discharge device; the discharge signal is analyzed to obtain a signal analysis result of the target discharge device; the signal analysis result is used to characterize the signal changes of the discharge signal in the time and frequency dimensions.

[0110] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: measuring the corona discharge of the first discharge device using a photoelectric sensor to obtain a first optical signal output by the photoelectric sensor for the first discharge device; and measuring the dielectric barrier discharge of the second discharge device using a photoelectric sensor to obtain a second optical signal output by the photoelectric sensor for the second discharge device.

[0111] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: measuring the discharge of the target discharge device through the sensing element of the photoelectric sensor to obtain the parameter changes of the sensing element during the discharge process of the target discharge device; and determining the optical signal of the target discharge device based on the parameter changes.

[0112] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: performing continuous wavelet transform on the discharge signal to obtain the time-domain and frequency-domain features of the discharge signal; and performing signal analysis on the discharge signal based on the time-domain and frequency-domain features to obtain the signal analysis results of the target discharge device.

[0113] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: based on time-domain characteristics, performs time-domain analysis on the discharge signal to obtain the changing trend of the discharge signal of the target discharge device over time; based on frequency-domain characteristics, performs frequency-domain analysis on the discharge signal to obtain the distribution trend of the discharge signal of the target discharge device at different frequencies; and uses the distribution trend and the changing trend together as the signal analysis result of the target discharge device.

[0114] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: in response to a discharge measurement command for a target discharge device, acquiring the discharge measurement requirement indicated by the discharge measurement command; determining a performance testing index that matches the discharge measurement requirement; and performing performance testing on the photoelectric sensor based on the performance testing index to obtain the performance testing result of the photoelectric sensor.

[0115] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, performs the following steps: in response to a discharge measurement command for a target discharge device, performs performance detection on a photoelectric sensor to obtain a performance detection result of the photoelectric sensor; the photoelectric sensor is a photoelectric sensor based on the Paul Kers effect; when the performance detection result reaches a performance threshold, performs discharge measurement on the target discharge device through the photoelectric sensor to obtain an optical signal output by the photoelectric sensor for the target discharge device; performs signal conversion on the optical signal to obtain a discharge signal of the target discharge device; performs signal analysis on the discharge signal to obtain a signal analysis result of the target discharge device; the signal analysis result is used to characterize the signal changes of the discharge signal in the time and frequency dimensions.

[0116] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: measuring the corona discharge of the first discharge device using a photoelectric sensor to obtain a first optical signal output by the photoelectric sensor for the first discharge device; and measuring the dielectric barrier discharge of the second discharge device using a photoelectric sensor to obtain a second optical signal output by the photoelectric sensor for the second discharge device.

[0117] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: measuring the discharge of the target discharge device through the sensing element of the photoelectric sensor to obtain the parameter changes of the sensing element during the discharge process of the target discharge device; and determining the optical signal of the target discharge device based on the parameter changes.

[0118] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: performing continuous wavelet transform on the discharge signal to obtain the time-domain and frequency-domain features of the discharge signal; and performing signal analysis on the discharge signal based on the time-domain and frequency-domain features to obtain the signal analysis results of the target discharge device.

[0119] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: based on time-domain characteristics, performs time-domain analysis on the discharge signal to obtain the changing trend of the discharge signal of the target discharge device over time; based on frequency-domain characteristics, performs frequency-domain analysis on the discharge signal to obtain the distribution trend of the discharge signal of the target discharge device at different frequencies; and uses the distribution trend and the changing trend together as the signal analysis result of the target discharge device.

[0120] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: in response to a discharge measurement command for a target discharge device, acquiring the discharge measurement requirement indicated by the discharge measurement command; determining a performance testing index that matches the discharge measurement requirement; and performing performance testing on the photoelectric sensor based on the performance testing index to obtain the performance testing result of the photoelectric sensor.

[0121] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0122] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0123] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0124] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method of discharge measurement based on optoelectronic integrated electric field sensor, characterized in that, The method comprises: In response to a discharge measurement instruction for a target discharge device, performance detection is performed on a photoelectric sensor to obtain a performance detection result of the photoelectric sensor; the photoelectric sensor is a photoelectric sensor based on the Pockels effect; the target discharge device comprises a first discharge device in a corona discharge mode and a second discharge device in a dielectric barrier discharge mode; When the performance detection result reaches a performance threshold, a corona discharge measurement is performed on the first discharge device by the photoelectric sensor to obtain a first optical signal output by the photoelectric sensor for the first discharge device; A dielectric barrier discharge measurement is performed on the second discharge device by the photoelectric sensor to obtain a second optical signal output by the photoelectric sensor for the second discharge device; The optical signal is converted to obtain a discharge signal of the target discharge device; Continuous wavelet transformation is performed on the discharge signal to obtain a time domain feature and a frequency domain feature of the discharge signal; Based on the time domain feature and the frequency domain feature, signal analysis is performed on the discharge signal to obtain a signal analysis result of the target discharge device; the signal analysis result is used to represent signal change of the discharge signal in the time dimension and the frequency dimension.

2. The method of claim 1, wherein, The discharge measurement on the target discharge device by the photoelectric sensor to obtain the optical signal output by the photoelectric sensor for the target discharge device comprises: The discharge measurement on the target discharge device by a sensing element of the photoelectric sensor to obtain parameter change of the sensing element in the discharge process of the target discharge device; Based on the parameter change, the optical signal of the target discharge device is determined.

3. The method of claim 1, wherein, The signal analysis on the discharge signal based on the time domain feature and the frequency domain feature to obtain the signal analysis result of the target discharge device comprises: Based on the time domain feature, time domain analysis is performed on the discharge signal to obtain a change trend of the discharge signal of the target discharge device over time; Based on the frequency domain feature, frequency domain analysis is performed on the discharge signal to obtain a distribution trend of the discharge signal of the target discharge device at different frequencies; The distribution trend and the change trend are jointly used as the signal analysis result of the target discharge device.

4. The method of claim 1, wherein, The performance detection on the photoelectric sensor in response to the discharge measurement instruction for the target discharge device to obtain the performance detection result of the photoelectric sensor comprises: In response to the discharge measurement instruction for the target discharge device, discharge measurement requirements indicated by the discharge measurement instruction are obtained; A performance detection index matched with the discharge measurement requirements is determined; Based on the performance detection index, performance detection is performed on the photoelectric sensor to obtain the performance detection result of the photoelectric sensor.

5. A discharge measuring device based on an optoelectronic integrated electric field sensor, characterized in that The device comprises: The photoelectric sensor detection module is configured to perform performance detection on the photoelectric sensor in response to a discharge measurement instruction for a target discharge device, and obtain a performance detection result of the photoelectric sensor; the photoelectric sensor is a photoelectric sensor based on the Pockels effect; the target discharge device includes a first discharge device in a corona discharge mode and a second discharge device in a dielectric barrier discharge mode; The discharge measurement module is configured to perform corona discharge measurement on the first discharge device by using the photoelectric sensor when the performance detection result reaches a performance threshold, and obtain a first optical signal output by the photoelectric sensor for the first discharge device; perform dielectric barrier discharge measurement on the second discharge device by using the photoelectric sensor, and obtain a second optical signal output by the photoelectric sensor for the second discharge device; The signal conversion module is configured to perform signal conversion on the optical signal, and obtain a discharge signal of the target discharge device; The signal analysis module is configured to perform continuous wavelet transform on the discharge signal, and obtain a time domain feature and a frequency domain feature of the discharge signal; perform signal analysis on the discharge signal based on the time domain feature and the frequency domain feature, and obtain a signal analysis result of the target discharge device; the signal analysis result is used to represent signal change of the discharge signal in a time dimension and a frequency dimension.

6. The apparatus of claim 5, wherein, The discharge measurement module is further configured to: perform discharge measurement on the target discharge device by using a sensing element of the photoelectric sensor, and obtain a parameter change of the sensing element in a discharge process of the target discharge device; determine an optical signal of the target discharge device based on the parameter change.

7. The apparatus of claim 5, wherein, The signal analysis module is further configured to: perform time domain analysis on the discharge signal based on the time domain feature, and obtain a change trend of the discharge signal of the target discharge device over time; perform frequency domain analysis on the discharge signal based on the frequency domain feature, and obtain a distribution trend of the discharge signal of the target discharge device at different frequencies; use the distribution trend and the change trend together as the signal analysis result of the target discharge device. 8.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-7. The processor executes the computer program to implement the steps of the method in any one of claims 1 to 4.

9. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the method in any one of claims 1 to 4.

10. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the method in any one of claims 1 to 4.

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