Method and system for evaluating environmental adaptability and dynamic response of partial discharge multi-parameter coupling sensor

Abstract

The invention discloses an environmental adaptability and dynamic response evaluation method and system for a partial discharge multi-parameter coupling sensor, and relates to the technical field of electrical equipment performance evaluation.Complex scenes possibly faced by the sensor in actual operation can be fully simulated by carrying out comprehensive performance tests in various test environments, and the reliability of the sensor is improved. And the obtained multi-dimensional test data provides a solid data basis for subsequent evaluation. The environment performance attenuation index is calculated based on the test data, the attenuation degree of the sensor performance along with the environment change is accurately quantified, and the evaluation is more accurate. The environmental adaptability evaluation value is obtained by adopting a weighted correction mode, and the weight difference of influence of different environmental factors on the performance of the sensor is considered, so that the evaluation result is more suitable for the actual situation. And standard judgment is carried out by comparing with a preset evaluation value, so that the adaptability condition of the sensor in a complex environment can be quickly and clearly determined, and a powerful guarantee is provided for the safety monitoring reliability of power equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of electrical equipment performance evaluation, and in particular to a method and system for evaluating the environmental adaptability and dynamic response of a partial discharge multi-parameter coupling sensor. Background Art

[0002] In modern power systems, gas-insulated equipment (GIE) is widely used across all sectors due to its significant advantages, including its small footprint, low maintenance, and high reliability. However, over long-term operation, such equipment is susceptible to the effects of multiple factors, including electric and thermal fields, mechanical stress, and environmental factors. This can lead to partial discharge (PD) in the internal insulation, a key early indicator of insulation defects. If not detected and addressed promptly, PD can continue to develop and potentially cause serious insulation failures, posing a significant threat to the safe and stable power supply of the power system, impacting the normal operation of various sectors, including industrial production and daily life.

[0003] To accurately capture partial discharge signals, existing detection methods include electrical testing, ultrasonic testing, and optical testing. Electrical testing is highly sensitive and can keenly capture the electrical signals generated by partial discharge. However, in complex electromagnetic environments, it is susceptible to external interference and misjudgment. Ultrasonic testing can accurately locate the discharge source using the ultrasonic waves generated by the discharge. However, its sensitivity is limited, and environmental noise interference often leads to deviations in the detection results. Although optical testing can intuitively display partial discharge phenomena, the optical system is complex and the detection distance is limited, making it difficult to adapt to various practical scenarios. Given the limitations of a single detection method, partial discharge multi-parameter coupling sensors have emerged. Partial discharge multi-parameter coupling sensors integrate multiple detection principles and can simultaneously collect multi-dimensional signals such as electricity, sound, and light. Through data fusion and intelligent algorithm analysis, they significantly improve the accuracy and reliability of partial discharge detection.

[0004] However, in practical applications, partial discharge multi-parameter coupled sensors face diverse and complex operating environments. For example, densely packed high-voltage equipment and high-frequency signals in locations like substations create strong electromagnetic radiation fields. The electrical signal acquisition modules of multi-parameter coupled sensors are susceptible to electromagnetic interference, resulting in signal distortion. Currently, assessing the adaptability of partial discharge multi-parameter coupled sensors in complex and changing environments remains a challenge. Furthermore, there is a lack of systematic methods for evaluating the dynamic response performance of sensors, which impacts both their practical performance and the reliability of power equipment safety monitoring. Summary of the Invention

[0005] The present invention provides a method and system for evaluating the environmental adaptability and dynamic response of a partial discharge multi-parameter coupling sensor, which solves the technical problem of how to improve the reliability of safety monitoring of power equipment.

[0006] The first aspect of the present invention provides a method for evaluating the environmental adaptability and dynamic response of a partial discharge multi-parameter coupling sensor, comprising:

[0007] Using a partial discharge multi-parameter coupled sensor to perform performance tests under different test environments, and obtaining test data of different sensor types under each of the test environments;

[0008] Calculating the environmental performance degradation index corresponding to each test environment based on each of the test data;

[0009] Using each of the environmental performance attenuation indicators to perform weighted correction to obtain an environmental adaptability assessment value;

[0010] When the environmental adaptability evaluation value is greater than or equal to a preset environmental adaptability evaluation value, it is determined that the environmental adaptability of the partial discharge multi-parameter coupling sensor meets the standard;

[0011] When the environmental adaptability evaluation value is less than the preset environmental adaptability evaluation value, it is determined that the environmental adaptability of the partial discharge multi-parameter coupling sensor does not meet the standard.

[0012] Optionally, the test data of different sensing types include optical sensing test data, geomagnetic wave sensing test data, and ultrasonic sensing test data, and the calculating, based on each of the test data, an environmental performance attenuation index corresponding to each of the test environments includes:

[0013] Calculating a temperature drift error index corresponding to a temperature variation test environment based on the optical sensing test data, the geomagnetic wave sensing test data, and the ultrasonic sensing test data;

[0014] Calculating a signal strength attenuation index corresponding to a damp heat test environment based on the optical sensing test data, the geomagnetic wave sensing test data, and the ultrasonic sensing test data;

[0015] A signal-to-noise ratio attenuation index corresponding to an electromagnetic interference test environment is calculated based on the optical sensing test data, the geomagnetic wave sensing test data, and the ultrasonic sensing test data.

[0016] Optionally, the optical sensing test data includes an optical signal amplitude, the geoelectric wave sensing test data includes a transient voltage amplitude, and the ultrasonic sensing test data includes an ultrasonic signal amplitude. Calculating a temperature drift error index corresponding to a temperature variation test environment based on the optical sensing test data, the geoelectric wave sensing test data, and the ultrasonic sensing test data includes:

[0017] determining an optical temperature drift error value according to the optical signal amplitude and a first preset standard optical signal amplitude;

[0018] Determining a ground wave temperature drift error value based on the transient voltage amplitude and a first preset standard ground wave signal amplitude;

[0019] determining an ultrasonic temperature drift error value according to the ultrasonic signal amplitude and a first preset standard ultrasonic signal amplitude;

[0020] The optical temperature drift error value, the geoelectric wave temperature drift error value, the ultrasonic temperature drift error value and a preset temperature drift weight factor are coupled to obtain a temperature drift error index corresponding to a temperature variation test environment.

[0021] Optionally, the calculating the signal strength attenuation index corresponding to the damp heat test environment based on the optical sensing test data, the geomagnetic wave sensing test data, and the ultrasonic sensing test data includes:

[0022] determining an optical signal intensity attenuation rate according to the optical signal amplitude and a second preset standard optical signal amplitude;

[0023] determining a ground wave signal strength attenuation rate according to the transient voltage amplitude and a second preset standard ground wave signal amplitude;

[0024] determining an ultrasonic signal intensity attenuation rate according to the ultrasonic signal amplitude and a second preset standard ultrasonic signal amplitude;

[0025] The optical signal intensity attenuation rate, the ground wave signal intensity attenuation rate, the ultrasonic signal intensity attenuation rate and a preset signal intensity weight factor are coupled to obtain a signal intensity attenuation index corresponding to a damp heat test environment.

[0026] Optionally, the optical sensing test data further includes an optical noise baseline and an optical noise standard deviation, the geoelectric wave sensing test data further includes a geoelectric wave noise baseline and a geoelectric wave noise standard deviation, and the ultrasonic sensing test data further includes an ultrasonic noise baseline and an ultrasonic noise standard deviation. Calculating the signal-to-noise ratio attenuation index corresponding to the electromagnetic interference test environment based on the optical sensing test data, the geoelectric wave sensing test data, and the ultrasonic sensing test data includes:

[0027] Determining an optical sensing signal-to-noise ratio attenuation rate using the optical signal amplitude, the optical noise baseline, and the optical noise standard deviation;

[0028] Determining a ground wave signal-to-noise ratio attenuation rate using the transient voltage amplitude, the ground wave noise baseline, and the ground wave noise standard deviation;

[0029] Determining an ultrasonic signal-to-noise ratio attenuation rate using the ultrasonic signal amplitude, the ultrasonic noise baseline, and the ultrasonic noise standard deviation;

[0030] The optical sensing signal-to-noise ratio attenuation rate, the ground wave signal-to-noise ratio attenuation rate, the ultrasonic signal-to-noise ratio attenuation rate and a preset signal-to-noise ratio weight factor are coupled to obtain a signal-to-noise ratio attenuation index corresponding to the electromagnetic interference test environment.

[0031] Optionally, the weighted correction of each of the environmental performance attenuation indicators to obtain an environmental adaptability evaluation value includes:

[0032] The temperature drift error index, the signal strength attenuation index, the signal-to-noise ratio attenuation index and a preset environmental adaptability weight factor are coupled to obtain an environmental adaptability weighted comprehensive deviation value;

[0033] The difference operation is performed between the preset environmental adaptability standard value and the environmental adaptability weighted comprehensive deviation value to obtain the environmental adaptability evaluation value.

[0034] Optionally, it also includes:

[0035] Based on the test data, calculate the response delay index corresponding to each test environment;

[0036] The response delay indicators are coupled with a preset response delay weight factor to obtain a response delay evaluation value;

[0037] The response delay evaluation value is used to perform dynamic response evaluation to obtain a dynamic response evaluation result of the partial discharge multi-parameter coupling sensor.

[0038] Optionally, the calculating, based on each of the test data, a response delay index corresponding to each test environment includes:

[0039] Calculating a first response delay variation corresponding to a temperature variation test environment based on the optical sensing test data, the geomagnetic wave sensing test data, and the ultrasonic sensing test data;

[0040] Calculating a second response delay variation corresponding to a damp heat test environment based on the optical sensing test data, the geomagnetic wave sensing test data, and the ultrasonic sensing test data;

[0041] A third response delay variation corresponding to an electromagnetic interference test environment is calculated based on the optical sensing test data, the geomagnetic wave sensing test data, and the ultrasonic sensing test data.

[0042] Optionally, the adopting the response delay evaluation value to perform dynamic response evaluation to obtain a dynamic response evaluation result of the partial discharge multi-parameter coupling sensor includes:

[0043] comparing the response delay evaluation value with a preset response delay qualification threshold;

[0044] When the response delay evaluation value is less than or equal to the preset response delay qualification threshold, it is determined that the response delay performance of the partial discharge multi-parameter coupling sensor meets the standard;

[0045] When the response delay evaluation value is greater than the preset response delay qualification threshold, it is determined that the response delay performance of the partial discharge multi-parameter coupling sensor does not meet the standard.

[0046] A second aspect of the present invention provides an environmental adaptability and dynamic response evaluation system for a partial discharge multi-parameter coupling sensor, comprising:

[0047] A testing module, configured to perform performance tests using a partial discharge multi-parameter coupling sensor under different test environments, and obtain test data of different sensor types under each of the test environments;

[0048] An environmental performance degradation index module, configured to calculate an environmental performance degradation index corresponding to each of the test environments based on each of the test data;

[0049] An environmental adaptability evaluation value module is used to perform weighted correction using each of the environmental performance attenuation indicators to obtain an environmental adaptability evaluation value;

[0050] A first processing module is configured to determine that the environmental adaptability of the partial discharge multi-parameter coupling sensor meets the standard when the environmental adaptability evaluation value is greater than or equal to a preset environmental adaptability evaluation value;

[0051] The second processing module is configured to determine that the environmental adaptability of the partial discharge multi-parameter coupling sensor does not meet the standard when the environmental adaptability evaluation value is less than the preset environmental adaptability evaluation value.

[0052] It can be seen from the above technical solutions that the present invention has the following advantages:

[0053] The present invention can fully simulate the complex scenarios that the sensor may face in actual operation by conducting comprehensive performance tests under a variety of test environments, and the multi-dimensional test data obtained provides a solid data foundation for subsequent evaluation. The environmental performance attenuation index is calculated based on the test data, and the degree of attenuation of the sensor performance with environmental changes is accurately quantified, making the evaluation more accurate. The environmental adaptability evaluation value is obtained by using a weighted correction method, taking into account the weight differences of the impact of different environmental factors on sensor performance, so that the evaluation results are more in line with the actual situation. By comparing with the preset evaluation value to make a compliance judgment, the adaptability of the sensor in a complex environment can be quickly and clearly determined, providing a strong guarantee for the reliability of the safety monitoring of power equipment, ensuring that the sensor can work stably and reliably in various complex environments, timely and accurately monitor the partial discharge of power equipment, discover potential faults in advance, and avoid the occurrence of major accidents. It effectively solves the technical problem that the adaptability evaluation of the partial discharge multi-parameter coupling sensor in a complex and changeable operating environment is insufficient, and it is difficult to ensure the reliability of the safety monitoring of power equipment.

[0054] Furthermore, the present invention also provides a dynamic response performance evaluation, which is coordinated with the environmental adaptability evaluation method to provide more comprehensive technical support for ensuring the real-time and reliability of power equipment safety monitoring, ensuring that the sensor can not only operate stably in a complex environment (environmental adaptability), but also respond to signals quickly and promptly (dynamic response performance), thereby effectively avoiding the risk of monitoring lag or failure due to response delay, and further improving the technical problem of the reliability of power equipment safety monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0056] Figure 1 A flow chart for evaluating the environmental adaptability of a partial discharge multi-parameter coupling sensor provided by an embodiment of the present invention;

[0057] Figure 2 This is a diagram of the equipment connections for the sensor performance test platform;

[0058] Figure 3 Schematic diagrams of three discharge defect models are provided;

[0059] Figure 4 A flow chart of dynamic response evaluation of a partial discharge multi-parameter coupling sensor provided by an embodiment of the present invention;

[0060] Figure 5 This is a structural block diagram of an environmental adaptability and dynamic response evaluation system for a partial discharge multi-parameter coupling sensor provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0061] The embodiments of the present invention provide a method and system for evaluating the environmental adaptability and dynamic response of a partial discharge multi-parameter coupling sensor, which are used to solve the technical problem of how to improve the reliability of safety monitoring of power equipment.

[0062] In order to make the purpose, features, and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0063] See also Figure 1 , Figure 1 A flowchart of environmental adaptability assessment of a partial discharge multi-parameter coupling sensor provided by an embodiment of the present invention.

[0064] The present invention provides a method for evaluating the environmental adaptability and dynamic response of a partial discharge multi-parameter coupling sensor, comprising:

[0065] S101. Perform performance tests on a partial discharge multi-parameter coupled sensor under different test environments to obtain test data of different sensing types under each test environment.

[0066] A partial discharge multi-parameter coupled sensor refers to a composite sensor that integrates multiple sensing principles (electrical, acoustic, and optical) to synchronously detect the multiple physical effects of partial discharge.

[0067] Performance testing refers to a series of test operations that detect and evaluate the noise suppression, signal capture and restoration capabilities of different parameter sensing units (such as optical sensing units, geoelectric wave sensing units, ultrasonic sensing units, etc.) in the partial discharge multi-parameter coupled sensor through specific test types (such as noise level measurement, calibration device measurement, corresponding sensing unit signal measurement, etc.) to determine whether they meet the requirements for accurate multi-parameter monitoring of partial discharge and ensure the comprehensive detection performance of the partial discharge multi-parameter coupled sensor.

[0068] It should be noted that the present invention is applied to a sensor performance test platform, which includes a high-voltage power supply, a discharge simulation defect model, a data acquisition system, a high-precision oscilloscope, and a data processing system;

[0069] The device connection method of the sensor performance test platform is as follows Figure 2As shown, a high-voltage power supply, a discharge simulation defect model, a partial discharge multi-parameter coupling sensor, a data acquisition system, a high-precision oscilloscope, and a data processing system are sequentially connected in communication;

[0070] A high-voltage power supply is used to provide high voltage to the discharge simulation defect to generate an actual partial discharge signal. Connect the output of the high-voltage power supply to the high-voltage input of the standard discharge model and ensure good grounding.

[0071] Discharge simulation defect models, including surface discharge defect models, corona discharge defect models, and suspended discharge defect models, please refer to Figure 3 , Figure 3 Schematic diagrams of three discharge defect models are provided. Figure (a) is a surface discharge defect model, Figure (b) is a corona discharge defect model, and Figure (c) is a suspended discharge defect model. The electrodes of the three defects are all made of brass.

[0072] Surface discharge defect model: A brass rod electrode and a lower plate electrode are pressed tightly against an epoxy insulating plate in the middle, forming a strong vertical component electric field at the interface of the insulating materials. The brass rod electrode has a diameter of 6 mm and the epoxy plate is 2 mm thick.

[0073] Corona discharge defect model: A rod-plate electrode is used to simulate corona discharge. The rod electrode has a diameter of 6 mm and a distance of 20 mm from the plate electrode.

[0074] Suspended discharge defect model: The suspended electrode consists of a lower needle electrode and an upper rod electrode. The needle electrode tip has an equivalent curvature radius of 50 μm and a diameter of 6 mm. It is 2 mm away from the rod electrode, and the lower end is 10 mm away from the ground electrode. A hollow epoxy resin ring is used to secure the suspended electrode, ensuring that the electrode is suspended while minimizing its impact on the optical path.

[0075] In the embodiment of the present invention, a partial discharge multi-parameter coupling sensor composed of an optical sensing unit, a ground wave sensing unit and an ultrasonic sensing unit is taken as an example, but the partial discharge multi-parameter coupling sensor includes but is not limited to an optical sensing unit, a ground wave sensing unit and an ultrasonic sensing unit.

[0076] The data acquisition system is connected to the signal output end of the partial discharge multi-parameter coupling sensor to collect test data of the partial discharge multi-parameter coupling sensor. The signal output end of each sensor unit is connected to the corresponding input channel of the data acquisition system through a shielded signal line.

[0077] A high-precision oscilloscope is used to monitor the output signal of the sensor in real time. The input channel of the high-precision oscilloscope is connected to the signal output terminal of the data acquisition system to synchronously record and analyze the signal.

[0078] The data processing system is used to process the test data, obtain the performance evaluation value, and determine whether the partial discharge multi-parameter coupling sensor meets the performance test requirements. The data processing system is connected to a high-precision oscilloscope.

[0079] It should be noted that in order to test the comprehensive adaptability performance of the partial discharge multi-parameter coupling sensor under different test environments (i.e., complex environments), the present invention adopts three test environments, namely, temperature change test environment (i.e., high and low temperature test), damp heat test environment, and electromagnetic interference test environment, for illustration, but the test environments include but are not limited to these three.

[0080] The tests were conducted using an electromagnetic shielding room, a high and low temperature test chamber, and a damp heat test chamber:

[0081] Electromagnetic interference test environment: An electromagnetic interference generator is placed in the electromagnetic shielding room. The electromagnetic interference generator applies interference signals to the test environment through an antenna or wire to simulate electromagnetic interference signals of different frequencies and intensities.

[0082] Temperature change test environment: The high and low temperature test chamber is used to test the working performance of the sensor in high and low temperature environments. The sensor and the discharge simulation defect model are placed together in the high and low temperature test chamber, and the signal is led out to the data acquisition system through the wall cable.

[0083] Damp heat test environment: The damp heat test chamber is used to test the working performance of the sensor in a high humidity environment. The sensor and the discharge simulation defect model are placed together in the damp heat test chamber, and the signal is led out to the data acquisition system through the wall cable.

[0084] Performance testing is performed in these three test environments. The specific performance testing methods are as follows:

[0085] For ease of understanding, a partial discharge multi-parameter coupling sensor consisting of an optical sensor unit, a ground wave sensor unit, and an ultrasonic sensor unit is used as an example. The partial discharge multi-parameter coupling sensor is installed on the side of a test chamber that simulates the internal environment of gas-insulated equipment. The specific process of the partial discharge multi-parameter coupling sensor performance test is as follows:

[0086] The performance test of the optical sensing unit includes noise level determination, spectrometer spectrum measurement and optical sensing unit spectrum measurement.

[0087] Noise level measurement: Turn off all light sources and connect the optical sensor unit to the integrating sphere via optical fiber. The integrating sphere is a hollow sphere with a white diffuse reflective material on the inner wall. The light entering the integrating sphere is reflected multiple times by the diffuse reflective material, forming a uniform illumination on the inner wall of the sphere. Collect 60 seconds of noise signal and calculate the optical noise baseline U noisel and the optical noise standard deviation σ noiselApply voltage to the defect model and record the output optical signal amplitude U of the optical sensing unit. optical .

[0088] Spectral measurement by spectrometer: The first spectral intensity R in a specific band is recorded by a fiber optic spectrometer i Among them, R i is the standard reference spectrum at wavelength λ i The intensity at the reference spectrum is calculated and the standard reference spectrum intensity R is calculated. i The first spectral intensity average .

[0089] Optical sensing unit spectrum measurement: The optical sensing unit collects the second spectrum intensity S in the same band i Among them, S i is the measured spectrum at wavelength λ i The intensity at , and calculate the measured spectral intensity S i The average intensity of the second spectrum The time deviation Δt1 between the optical signal of the optical sensing unit and the pulse current signal (ie, the optical pulse reference time) t0 is synchronously recorded.

[0090] The performance test of the ground wave sensor unit includes noise level determination, calibration device measurement and ground wave sensor unit measurement.

[0091] Noise level measurement: First, synchronously collect the baseline noise data of the ground wave sensor unit in an electromagnetic shielding environment to obtain the ground wave noise baseline U noise2 and the standard deviation of ground wave noise σ noise2 , establishes a benchmark for subsequent signal-to-noise ratio calculations;

[0092] Calibration device measurement: Then apply voltage to the defect model, gradually increase the discharge intensity, and use the transient voltage calibration device to calculate the reference frequency f of the TEV signal FFT main frequency. ref , and get the upper limit of the cutoff frequency f max and the lower limit of the cutoff frequency f min , standard bandwidth f bandwidth =f max -f min .

[0093] Geomagnetic wave sensor unit measurement: Synchronously record the peak value of the transient voltage signal U of the geomagnetic wave sensor unit tev (i.e. transient voltage amplitude), and extract the mean value of the ground wave main frequency distribution of the signal main frequency f pulse , and simultaneously accurately measure the signal rising edge time to calculate the time deviation Δt2 between the ground wave signal and the pulse current signal (i.e., the ground wave pulse reference time) t0.

[0094] The performance test of the ultrasonic sensor unit includes noise level measurement, calibration device signal measurement, and ultrasonic sensor unit signal measurement.

[0095] First, the baseline noise data of the ultrasonic sensor unit is synchronously collected in an electromagnetic shielding environment to obtain the ultrasonic noise baseline U noise3 and ultrasonic noise standard deviation σ noise3 Then, voltage is applied to the defect model, and the discharge intensity is gradually increased. The output signal of the ultrasonic sensor is the ultrasonic time domain waveform x(t), which is converted into the frequency domain energy spectrum (i.e., ultrasonic frequency energy density) X(f) through fast Fourier transform (FFT), and the total energy E of the full frequency band is calculated. total And the total energy E of the characteristic frequency band target , synchronously record the ultrasonic signal amplitude U of the ultrasonic sensor unit ultrasonic At the same time, the rising edge time of the signal is accurately measured to calculate the time deviation Δt3 between the ultrasonic signal and the pulse current signal (that is, the ultrasonic pulse reference time) t0, and the sound wave propagation delay time τ delay =d / v, where d is the distance between the sensor unit and the sound source, and v is the speed of sound wave propagation.

[0096] A pulse current signal is introduced into the discharge simulation defect model and input into the data acquisition system as the time reference t0. It should be noted that the above-mentioned optical pulse reference time, geomagnetic wave pulse reference time and ultrasonic pulse reference time are all t0. The sampling clock of the partial discharge multi-parameter coupling sensor is synchronized by the same high-precision clock source to ensure the consistency of the timestamp. The pulse current signal is the rising edge of the high-voltage pulse or the external trigger source. For the same discharge event, the response time of each sensor unit is recorded. The response time of the optical sensor unit is specifically the photon arrival time t optical The response time of the ground wave sensor unit is specifically the transient voltage pulse time t tev , the response time of the ultrasonic sensor unit is specifically the ultrasonic arrival time t ultrasonic At the same time, test the response time benchmark value t of various sensor units at standard ambient temperature normal .

[0097] Since the performance testing method is consistent in different test environments, it will not be repeated here.

[0098] In the embodiment of the present invention, a partial discharge multi-parameter coupling sensor is used to perform performance tests under different test environments to obtain test data of different sensing types under each test environment.

[0099] The following three test environments are used as examples: temperature change test environment (i.e. high and low temperature test), damp heat test environment, and electromagnetic interference test environment:

[0100] The PD multi-parameter coupled sensor was placed in a high-temperature and low-temperature test chamber and tested at both high (50°C) and low (-10°C) temperatures. The same procedures as those for testing the optical, geomagnetic, and ultrasonic sensor units were repeated. Test data from the PD multi-parameter coupled sensor at different temperatures was recorded and analyzed to evaluate the impact of temperature on its performance.

[0101] The PD multi-parameter coupled sensor was placed in a damp heat chamber and tested in a high humidity environment (85% RH). The same procedures as those for the optical, geomagnetic, and ultrasonic sensor units were repeated. Test data from the PD multi-parameter coupled sensor in a high humidity environment was recorded and analyzed to evaluate the impact of humidity on its performance.

[0102] Place the PD multi-parameter coupled sensor in an electromagnetically shielded room and use an electromagnetic interference generator to simulate electromagnetic interference of varying frequencies and intensities. Repeat the above test steps, record and analyze the sensor's test data in this electromagnetic interference environment, and evaluate the impact of electromagnetic interference on the performance of the PD multi-parameter coupled sensor.

[0103] It can also be performed in the following test environments:

[0104] Conduct electrostatic discharge immunity experiments, use an electrostatic gun to inject electrostatic interference into the power supply of the partial discharge multi-parameter coupling sensor and possible contact places, and observe whether the working status of the partial discharge multi-parameter coupling sensor is normal; conduct electrical fast transient pulse group immunity experiments, where the fast pulse group interference is transmitted to the partial discharge multi-parameter coupling sensor through the coupling network, and test the partial discharge multi-parameter coupling sensor's ability to resist fast pulse group interference; use a surge generator to transmit surge interference to the partial discharge multi-parameter coupling sensor through the coupling network, and test the sensor's ability to resist surge interference.

[0105] S102: Calculate the environmental performance degradation index corresponding to each test environment based on each test data.

[0106] Furthermore, the test data of different sensing types include optical sensing test data, geomagnetic wave sensing test data, and ultrasonic sensing test data. S102 may include the following sub-steps:

[0107] S11. Calculate the temperature drift error index corresponding to the temperature change test environment based on the optical sensing test data, the geoelectric wave sensing test data, and the ultrasonic sensing test data.

[0108] Furthermore, the optical sensing test data includes the optical signal amplitude, the geomagnetic wave sensing test data includes the transient voltage amplitude, and the ultrasonic sensing test data includes the ultrasonic signal amplitude. S11 may include the following sub-steps:

[0109] S111 . Determine an optical temperature drift error value according to the optical signal amplitude and a first preset standard optical signal amplitude.

[0110] In the specific implementation, converted into the form of formula packaging, the optical temperature drift error value is specifically:

[0111]

[0112] Where, Indicates the optical temperature drift error value under the temperature change test environment, Indicates the optical signal amplitude under temperature change test environment, It represents the first preset standard optical signal amplitude, specifically representing the reference output amplitude of the optical sensing unit at a standard ambient temperature (usually room temperature, such as 25°C).

[0113] S112 : Determine a ground wave temperature drift error value according to the transient voltage amplitude and the first preset standard ground wave signal amplitude.

[0114] In the specific implementation, converted into the form of formula encapsulation, the ground wave temperature drift error value is specifically:

[0115]

[0116] Where, Indicates the temperature drift error value of the ground wave in the temperature change test environment. Indicates the transient voltage amplitude under temperature change test environment, It represents the first preset standard ground wave signal amplitude, specifically representing the reference output amplitude of the ground wave sensor unit at a standard ambient temperature (usually room temperature, such as 25°C).

[0117] S113 . Determine an ultrasonic temperature drift error value according to the ultrasonic signal amplitude and a first preset standard ultrasonic signal amplitude.

[0118] In the specific implementation, converted into the form of formula encapsulation, the ultrasonic temperature drift error value is specifically:

[0119]

[0120] Where, Indicates the ultrasonic temperature drift error value under the temperature change test environment, Indicates the ultrasonic signal amplitude under temperature change test environment, It represents the first preset standard ultrasonic signal amplitude, specifically representing the reference output amplitude of the ultrasonic sensor unit at a standard ambient temperature (usually room temperature, such as 25°C).

[0121] S114 , coupling the optical temperature drift error value, the geoelectric wave temperature drift error value, the ultrasonic temperature drift error value, and the preset temperature drift weight factor to obtain a temperature drift error index corresponding to the temperature variation test environment.

[0122] In the specific implementation, converted into the form of formula encapsulation, the temperature drift error index is specifically:

[0123]

[0124] Where, Indicates the temperature drift error index corresponding to the temperature change test environment. Indicates the preset temperature drift weight factor.

[0125] S12. Calculate the signal strength attenuation index corresponding to the damp heat test environment based on the optical sensing test data, the geomagnetic wave sensing test data, and the ultrasonic sensing test data.

[0126] Furthermore, S12 may include the following sub-steps:

[0127] S121. Determine an optical signal intensity attenuation rate according to the optical signal amplitude and a second preset standard optical signal amplitude.

[0128] In the specific implementation, converted into the form of formula encapsulation, the optical signal intensity attenuation rate is specifically:

[0129]

[0130] Where, Indicates the optical signal intensity attenuation rate under the damp heat test environment. Indicates the optical signal amplitude under the damp heat test environment, It represents the second preset standard optical signal amplitude, specifically representing the reference output amplitude of the optical sensing unit under normal conditions.

[0131] S122: Determine the ground wave signal strength attenuation rate according to the transient voltage amplitude and the second preset standard ground wave signal amplitude.

[0132] In the specific implementation, converted into the form of formula encapsulation, the ground wave signal strength attenuation rate is specifically:

[0133]

[0134] Where, Indicates the attenuation rate of the ground wave signal strength in a damp and hot test environment. Indicates the transient voltage amplitude under the damp heat test environment, It represents the second preset standard ground wave signal amplitude, specifically representing the reference output amplitude of the ground wave sensing unit under normal conditions.

[0135] S123. Determine the ultrasonic signal intensity attenuation rate according to the ultrasonic signal amplitude and the second preset standard ultrasonic signal amplitude.

[0136] In the specific implementation, converted into the form of formula encapsulation, the ultrasonic signal intensity attenuation rate is specifically:

[0137]

[0138] Where, Indicates the ultrasonic signal intensity attenuation rate in a damp and hot test environment. Indicates the ultrasonic signal amplitude under the damp heat test environment, It represents the second preset standard ultrasonic signal amplitude, specifically representing the reference output amplitude of the ultrasonic sensing unit under normal conditions.

[0139] S124. Couple the optical signal intensity attenuation rate, the geoelectric wave signal intensity attenuation rate, the ultrasonic signal intensity attenuation rate, and the preset signal intensity weight factor to obtain a signal intensity attenuation index corresponding to the damp heat test environment.

[0140] In the specific implementation, converted into the form of formula encapsulation, the signal strength attenuation index is specifically:

[0141]

[0142] Where, Indicates the signal strength attenuation index corresponding to the damp heat test environment. Indicates the preset signal strength weight factor.

[0143] S13. Calculate the signal-to-noise ratio attenuation index corresponding to the electromagnetic interference test environment based on the optical sensing test data, the geomagnetic wave sensing test data, and the ultrasonic sensing test data.

[0144] Furthermore, the optical sensing test data further includes an optical noise baseline and an optical noise standard deviation, the geoelectric wave sensing test data further includes a geoelectric wave noise baseline and a geoelectric wave noise standard deviation, and the ultrasonic sensing test data further includes an ultrasonic noise baseline and an ultrasonic noise standard deviation. S13 may include the following sub-steps:

[0145] S131. Determine the optical sensing signal-to-noise ratio attenuation rate using the optical signal amplitude, the optical noise baseline, and the optical noise standard deviation.

[0146] In the specific implementation, converted into the form of formula encapsulation, the optical sensing signal-to-noise ratio attenuation rate is specifically:

[0147]

[0148] Where, Indicates the optical sensing signal-to-noise ratio attenuation rate under electromagnetic interference test environment, Indicates the optical signal amplitude under electromagnetic interference test environment, Represents the optical noise baseline in the electromagnetic interference test environment, Indicates the standard deviation of optical noise in an electromagnetic interference test environment.

[0149] S132. Determine the ground wave signal-to-noise ratio attenuation rate using the transient voltage amplitude, the ground wave noise baseline, and the ground wave noise standard deviation.

[0150] In the specific implementation, converted into the form of formula encapsulation, the ground wave signal-to-noise ratio attenuation rate is specifically:

[0151]

[0152] Where, Indicates the attenuation rate of the ground wave signal-to-noise ratio in the electromagnetic interference test environment. Indicates the transient voltage amplitude under the electromagnetic interference test environment, Indicates the ground wave noise baseline in the electromagnetic interference test environment. Indicates the standard deviation of ground wave noise in an electromagnetic interference test environment.

[0153] S133. Determine the ultrasonic signal-to-noise ratio attenuation rate using the ultrasonic signal amplitude, ultrasonic noise baseline, and ultrasonic noise standard deviation.

[0154] In the specific implementation, converted into the form of formula encapsulation, the ultrasonic signal-to-noise ratio attenuation rate is specifically:

[0155]

[0156] Where, Indicates the ultrasonic signal-to-noise ratio attenuation rate under electromagnetic interference test environment, Indicates the ultrasonic signal amplitude under the electromagnetic interference test environment, Indicates the ultrasonic noise baseline in the electromagnetic interference test environment, Indicates the standard deviation of ultrasonic noise in an electromagnetic interference test environment.

[0157] S134. Use the optical sensing signal-to-noise ratio attenuation rate, the ground wave signal-to-noise ratio attenuation rate, the ultrasonic signal-to-noise ratio attenuation rate and the preset signal-to-noise ratio weight factor for coupling processing to obtain the signal-to-noise ratio attenuation index corresponding to the electromagnetic interference test environment.

[0158] In the specific implementation, converted into the form of formula encapsulation, the signal-to-noise ratio attenuation index is specifically:

[0159]

[0160] Where, Indicates the signal-to-noise ratio attenuation index corresponding to the electromagnetic interference test environment. Indicates the preset signal-to-noise ratio weight factor.

[0161] S103: Perform weighted correction using each environmental performance attenuation index to obtain an environmental adaptability assessment value.

[0162] Furthermore, S103 may include the following sub-steps:

[0163] S21. Couple the temperature drift error index, the signal strength attenuation index, the signal-to-noise ratio attenuation index, and the preset environmental adaptability weight factor to obtain an environmental adaptability weighted comprehensive deviation value.

[0164] S22. Perform a difference operation between the preset environmental adaptability standard value and the environmental adaptability weighted comprehensive deviation value to obtain an environmental adaptability evaluation value.

[0165] In the specific implementation, converted into the form of formula encapsulation, the signal-to-noise ratio attenuation index is specifically:

[0166]

[0167] Where, represents the environmental adaptability assessment value, Indicates the preset environmental adaptability standard value, Represents the preset environmental adaptability weight factor.

[0168] S104: When the environmental adaptability evaluation value is greater than or equal to a preset environmental adaptability evaluation value, it is determined that the environmental adaptability of the partial discharge multi-parameter coupling sensor meets the standard.

[0169] In an embodiment of the present invention, when the environmental adaptability evaluation value is greater than or equal to a preset environmental adaptability evaluation value, preferably 0.7, the environmental adaptability of the partial discharge multi-parameter coupling sensor is determined to meet the environmental adaptability standards. This indicates that the comprehensive performance of the partial discharge multi-parameter coupling sensor in multiple environmental conditions, including electromagnetic compatibility, high and low temperature cycling, and alternating humidity and heat, meets design requirements in terms of temperature drift adaptability, dynamic response adaptability, and performance degradation adaptability, and is capable of stable and reliable operation in practical application scenarios.

[0170] S105: When the environmental adaptability evaluation value is less than a preset environmental adaptability evaluation value, it is determined that the environmental adaptability of the partial discharge multi-parameter coupling sensor does not meet the standard.

[0171] In an embodiment of the present invention, when the environmental adaptability evaluation value is less than a preset environmental adaptability evaluation value, it is determined that the environmental adaptability of the partial discharge multi-parameter coupling sensor does not meet the standard and needs to be further optimized and improved to enhance its adaptability in complex environments.

[0172] See also Figure 4 , dynamic response evaluation can also be performed under different test environments, which also includes the following steps:

[0173] A101. Calculate the response delay index corresponding to each test environment based on each test data.

[0174] Furthermore, the optical sensing test data also includes the photon arrival time, the geomagnetic wave sensing test data also includes the transient voltage pulse time, and the ultrasonic sensing test data also includes the ultrasonic arrival time. A101 may include the following sub-steps:

[0175] A11. Calculate the first response delay change corresponding to the temperature change test environment based on the optical sensing test data, the geomagnetic wave sensing test data, and the ultrasonic sensing test data.

[0176] Furthermore, A11 may include the following sub-steps:

[0177] A111. Determine a first time difference using a photon arrival time and an optical response time reference value corresponding to a temperature variation test environment.

[0178] In the specific implementation, the first time difference is converted into a formula encapsulation form:

[0179]

[0180] Where, Indicates the first time difference under the temperature change test environment, Indicates the arrival time of photons under temperature-varying test conditions, Indicates the optical response time benchmark value under temperature change test environment.

[0181] A112. Determine a second time difference using the transient voltage pulse time and ground wave response time reference values ​​corresponding to the temperature variation test environment;

[0182] In the specific implementation, the second time difference is converted into a formula encapsulation form and is specifically:

[0183]

[0184] Where, Indicates the second time difference under temperature change test environment, Indicates the transient voltage pulse time under temperature change test environment, Indicates the reference value of the ground wave response time under the temperature change test environment.

[0185] A113. Determine a third time difference using the ultrasonic arrival time and ultrasonic response time reference values ​​corresponding to the temperature variation test environment;

[0186] In the specific implementation, the third time difference is converted into a formula encapsulation form and is specifically:

[0187]

[0188] Where, Indicates the third time difference under the temperature change test environment, Indicates the ultrasonic arrival time under the temperature change test environment, Indicates the reference value of ultrasonic response time under temperature change test environment.

[0189] A114. Use the first time difference, the first time difference, the first time difference, and a preset first time weight factor to perform coupling processing to obtain a first response delay variation corresponding to the temperature change test environment.

[0190] In the specific implementation, converted into the form of formula encapsulation, the specific change in the first response delay is:

[0191]

[0192] Where, Indicates the change in first response delay corresponding to the temperature change test environment, Indicates the preset first time weighting factor.

[0193] A12. Calculate the second response delay variation corresponding to the damp heat test environment based on the optical sensing test data, the geomagnetic wave sensing test data, and the ultrasonic sensing test data.

[0194] Furthermore, A12 may include the following sub-steps:

[0195] A121. Determine a fourth time difference using the photon arrival time and optical response time reference values ​​corresponding to the damp heat test environment.

[0196] In a specific implementation, the fourth time difference is converted into a formula encapsulation form and is specifically:

[0197]

[0198] Where, Indicates the fourth time difference under the damp heat test environment, Indicates the photon arrival time under the damp heat test environment, Indicates the optical response time benchmark value under a damp heat test environment.

[0199] A122. Determine the fifth time difference using the transient voltage pulse time and ground wave response time reference values ​​corresponding to the damp heat test environment.

[0200] In the specific implementation, converted into the form of formula encapsulation, the fifth time difference is specifically:

[0201]

[0202] Where, Indicates the fifth time difference under the damp heat test environment, Indicates the transient voltage pulse time under the damp heat test environment, Indicates the reference value of the ground wave response time in a damp heat test environment.

[0203] A123. Determine a sixth time difference using the ultrasonic arrival time and ultrasonic response time reference values ​​corresponding to the damp heat test environment.

[0204] In the specific implementation, converted into the form of formula encapsulation, the sixth time difference is specifically:

[0205]

[0206] Where, Indicates the sixth time difference under the damp heat test environment, Indicates the ultrasonic arrival time under the damp heat test environment, Indicates the reference value of ultrasonic response time under damp heat test environment.

[0207] A124. Use the fourth time difference, the fifth time difference, the sixth time difference, and the preset second time weight factor to perform coupling processing to obtain a second response delay variation corresponding to the damp heat test environment.

[0208] In the specific implementation, converted into the form of formula encapsulation, the second response delay change is specifically:

[0209]

[0210] Where, Indicates the change in the second response delay corresponding to the damp heat test environment, Indicates the preset second time weighting factor.

[0211] A13. Calculate a third response delay variation corresponding to the electromagnetic interference test environment based on the optical sensing test data, the geomagnetic wave sensing test data, and the ultrasonic sensing test data.

[0212] Furthermore, A13 may include the following sub-steps:

[0213] A131. Determine a seventh time difference using the photon arrival time and optical response time reference values ​​corresponding to the electromagnetic interference test environment.

[0214] In the specific implementation, converted into the form of formula encapsulation, the seventh time difference is specifically:

[0215]

[0216] Where, Indicates the seventh time difference value under the electromagnetic interference test environment, Indicates the photon arrival time in the electromagnetic interference test environment, Indicates the optical response time benchmark value in an electromagnetic interference test environment.

[0217] A132. Determine the eighth time difference using the transient voltage pulse time and ground wave response time reference values ​​corresponding to the electromagnetic interference test environment;

[0218] In the specific implementation, converted into the form of formula encapsulation, the eighth time difference is specifically:

[0219]

[0220] Where, Indicates the eighth time difference under the damp heat test environment, Indicates the transient voltage pulse time under the damp heat test environment, Indicates the reference value of the ground wave response time in a damp heat test environment.

[0221] A133. Determine a ninth time difference using the ultrasonic arrival time and ultrasonic response time reference values ​​corresponding to the electromagnetic interference test environment.

[0222] In the specific implementation, converted into the form of formula encapsulation, the ninth time difference is specifically:

[0223]

[0224] Where, Indicates the ninth time difference in the electromagnetic interference test environment, Indicates the ultrasonic arrival time under the electromagnetic interference test environment, Indicates the reference value of ultrasonic response time in an electromagnetic interference test environment.

[0225] A134. Use the seventh time difference, the eighth time difference, the ninth time difference and the preset third time weight factor to perform coupling processing to obtain a third response delay variation corresponding to the electromagnetic interference test environment.

[0226] In the specific implementation, converted into the form of formula encapsulation, the third response delay change is specifically:

[0227]

[0228] Where, Indicates the third response delay change corresponding to the electromagnetic interference test environment, Indicates the preset third time weighting factor.

[0229] A102. Couple each response delay indicator with a preset response delay weight factor to obtain a response delay evaluation value.

[0230] In the specific implementation, converted into the form of formula encapsulation, the response delay evaluation value is specifically:

[0231]

[0232] Where, Represents the response delay evaluation value, Indicates the preset response delay weight factor.

[0233] A103. Use the response delay evaluation value to perform dynamic response evaluation and obtain the dynamic response evaluation result of the partial discharge multi-parameter coupling sensor.

[0234] Furthermore, A103 may include the following sub-steps:

[0235] A21. Compare the response delay evaluation value with a preset response delay qualification threshold.

[0236] In the embodiment of the present invention, the response delay evaluation value is compared with a preset response delay qualified threshold, and the preset response delay qualified threshold is preferably 0.5 us.

[0237] A22. When the response delay evaluation value is less than or equal to the preset response delay qualification threshold, it is determined that the response delay performance of the partial discharge multi-parameter coupling sensor meets the standard.

[0238] In an embodiment of the present invention, when the response delay evaluation value is less than or equal to a preset response delay qualification threshold, the response delay performance of the partial discharge multi-parameter coupled sensor is determined to meet the standard. This indicates that the partial discharge multi-parameter coupled sensor's response speed performance deviation is within an acceptable range under electromagnetic compatibility, high-low temperature cycling, and alternating humidity and heat test environments, and that it can respond to input signals promptly and accurately, meeting the response speed requirements of practical applications.

[0239] A23. When the response delay evaluation value is greater than the preset response delay qualification threshold, it is determined that the response delay performance of the partial discharge multi-parameter coupling sensor does not meet the standard.

[0240] In an embodiment of the present invention, when the response delay evaluation value is greater than the preset response delay qualification threshold, it is determined that the response delay performance of the partial discharge multi-parameter coupling sensor does not meet the standard. At this time, the partial discharge multi-parameter coupling sensor may not be able to complete the response to the signal within the effective time, affecting its normal use in actual scenarios. It needs to be optimized and improved to improve the response speed performance.

[0241] It should be noted that the sum of various weight factors in the embodiment of the present invention is equal to 1, and various weight factors can be set according to actual needs.

[0242] It is worth mentioning that, based on the original environmental adaptability assessment, the embodiment of the present invention further evaluates the dynamic response performance of the partial discharge multi-parameter coupling sensor: based on the three types of sensor test data, optical, geoelectric wave, and ultrasonic, the response delay indicators corresponding to the three test environments of temperature change, humidity and heat, and electromagnetic interference are calculated respectively; by coupling each response delay indicator with a preset weight factor, a comprehensive response delay evaluation value is obtained; finally, the evaluation value is compared with the preset response delay qualification threshold to determine whether the sensor response delay performance meets the standard.

[0243] Dynamic response performance evaluation and environmental adaptability assessment methods complement each other, further addressing the inadequate dynamic response assessment of partial discharge multi-parameter coupled sensors in complex environments. By specifically calculating the change in response delay under different environmental conditions (temperature fluctuations, humidity, and electromagnetic interference), the dynamic response characteristics of the sensor to signals in complex environments are accurately captured. The introduction of weighting factors for coupling processing comprehensively considers the differences in the impact of different environments on dynamic response, making the evaluation results more consistent with actual operating scenarios. Compliance is determined by comparing with preset thresholds, clarifying the qualification standards for the sensor's dynamic response performance. This provides more comprehensive technical support for ensuring the real-time and reliable safety monitoring of power equipment. This ensures that the sensor not only operates stably in complex environments (environmental adaptability), but also responds quickly and promptly to signals (dynamic response performance), effectively avoiding the risk of monitoring lags or failures due to response delays.

[0244] See also Figure 5 , Figure 5 This is a structural block diagram of an environmental adaptability and dynamic response evaluation system for a partial discharge multi-parameter coupling sensor provided by an embodiment of the present invention.

[0245] The present invention provides an environmental adaptability and dynamic response evaluation system for a partial discharge multi-parameter coupling sensor, comprising:

[0246] Testing module 501, for performing performance tests using a partial discharge multi-parameter coupled sensor under different test environments, and obtaining test data of different sensor types under each test environment;

[0247] An environmental performance degradation index module 502 is used to calculate an environmental performance degradation index corresponding to each test environment based on each test data;

[0248] The environmental adaptability evaluation value module 503 is used to perform weighted correction using each environmental performance attenuation index to obtain an environmental adaptability evaluation value;

[0249] The first processing module 504 is configured to determine that the environmental adaptability of the partial discharge multi-parameter coupling sensor meets the standard when the environmental adaptability evaluation value is greater than or equal to a preset environmental adaptability evaluation value;

[0250] The second processing module 505 is configured to determine that the environmental adaptability of the partial discharge multi-parameter coupling sensor does not meet the standard when the environmental adaptability evaluation value is less than a preset environmental adaptability evaluation value.

[0251] Furthermore, the test data of different sensing types include optical sensing test data, ground wave sensing test data, and ultrasonic sensing test data. The environmental performance attenuation index module 502 includes:

[0252] The temperature drift error index submodule is used to calculate the temperature drift error index corresponding to the temperature change test environment based on the optical sensing test data, the geomagnetic wave sensing test data and the ultrasonic sensing test data;

[0253] The signal strength attenuation index submodule is used to calculate the signal strength attenuation index corresponding to the damp heat test environment based on the optical sensing test data, the geomagnetic wave sensing test data, and the ultrasonic sensing test data;

[0254] The signal-to-noise ratio attenuation index submodule is used to calculate the signal-to-noise ratio attenuation index corresponding to the electromagnetic interference test environment based on optical sensing test data, geomagnetic wave sensing test data and ultrasonic sensing test data.

[0255] Furthermore, the optical sensing test data includes the optical signal amplitude, the ground wave sensing test data includes the transient voltage amplitude, the ultrasonic sensing test data includes the ultrasonic signal amplitude, and the temperature drift error indicator submodule includes:

[0256] an optical temperature drift error value unit, configured to determine an optical temperature drift error value according to an optical signal amplitude and a first preset standard optical signal amplitude;

[0257] a ground wave temperature drift error value unit, configured to determine a ground wave temperature drift error value according to a transient voltage amplitude and a first preset standard ground wave signal amplitude;

[0258] an ultrasonic temperature drift error value unit, configured to determine an ultrasonic temperature drift error value according to an ultrasonic signal amplitude and a first preset standard ultrasonic signal amplitude;

[0259] The first coupling processing unit is used to couple the optical temperature drift error value, the geoelectric wave temperature drift error value, the ultrasonic temperature drift error value and a preset temperature drift weight factor to obtain a temperature drift error index corresponding to the temperature change test environment.

[0260] Furthermore, the signal strength attenuation indicator submodule includes:

[0261] an optical signal intensity attenuation rate unit, configured to determine the optical signal intensity attenuation rate according to the optical signal amplitude and a second preset standard optical signal amplitude;

[0262] a ground wave signal strength attenuation rate unit, configured to determine a ground wave signal strength attenuation rate according to a transient voltage amplitude and a second preset standard ground wave signal amplitude;

[0263] an ultrasonic signal intensity attenuation rate unit, configured to determine the ultrasonic signal intensity attenuation rate according to the ultrasonic signal amplitude and a second preset standard ultrasonic signal amplitude;

[0264] The second coupling processing unit is used to couple the optical signal intensity attenuation rate, the geoelectric wave signal intensity attenuation rate, the ultrasonic signal intensity attenuation rate and the preset signal intensity weight factor to obtain a signal intensity attenuation index corresponding to the wet heat test environment.

[0265] Furthermore, the optical sensing test data also includes an optical noise baseline and an optical noise standard deviation, the geostationary wave sensing test data also includes a geostationary wave noise baseline and a geostationary wave noise standard deviation, and the ultrasonic sensing test data also includes an ultrasonic noise baseline and an ultrasonic noise standard deviation. The signal-to-noise ratio attenuation indicator submodule includes:

[0266] An optical sensing signal-to-noise ratio decay rate unit, configured to determine an optical sensing signal-to-noise ratio decay rate using an optical signal amplitude, an optical noise baseline, and an optical noise standard deviation;

[0267] A ground wave signal-to-noise ratio attenuation rate unit is used to determine a ground wave signal-to-noise ratio attenuation rate using a transient voltage amplitude, a ground wave noise baseline, and a ground wave noise standard deviation;

[0268] An ultrasonic signal-to-noise ratio attenuation rate unit is used to determine an ultrasonic signal-to-noise ratio attenuation rate using an ultrasonic signal amplitude, an ultrasonic noise baseline, and an ultrasonic noise standard deviation;

[0269] The third coupling processing unit is used to couple the optical sensing signal-to-noise ratio attenuation rate, the ground wave signal-to-noise ratio attenuation rate, the ultrasonic signal-to-noise ratio attenuation rate and the preset signal-to-noise ratio weight factor to obtain a signal-to-noise ratio attenuation index corresponding to the electromagnetic interference test environment.

[0270] Furthermore, the environmental adaptability evaluation value module 503 includes:

[0271] The environmental adaptability weighted comprehensive deviation value submodule is used to couple the temperature drift error index, the signal strength attenuation index, the signal-to-noise ratio attenuation index and the preset environmental adaptability weight factor to obtain the environmental adaptability weighted comprehensive deviation value;

[0272] The difference operation submodule is used to perform a difference operation using a preset environmental adaptability standard value and an environmental adaptability weighted comprehensive deviation value to obtain an environmental adaptability evaluation value.

[0273] Furthermore, it also includes:

[0274] A response delay index module is used to calculate the response delay index corresponding to each test environment based on each test data;

[0275] A response delay evaluation value module is used to couple each response delay indicator with a preset response delay weight factor to obtain a response delay evaluation value;

[0276] The dynamic response evaluation result module is used to perform dynamic response evaluation using the response delay evaluation value to obtain the dynamic response evaluation result of the partial discharge multi-parameter coupling sensor.

[0277] Furthermore, the response delay indicator module includes:

[0278] A first response delay variation quantum module is used to calculate the first response delay variation corresponding to the temperature variation test environment based on optical sensing test data, geomagnetic wave sensing test data, and ultrasonic sensing test data;

[0279] A second response delay change quantum module is used to calculate the second response delay change corresponding to the damp heat test environment based on the optical sensing test data, the geomagnetic wave sensing test data and the ultrasonic sensing test data;

[0280] The third response delay change quantum module is used to calculate the third response delay change corresponding to the electromagnetic interference test environment based on the optical sensing test data, the ground wave sensing test data and the ultrasonic sensing test data.

[0281] Furthermore, the dynamic response evaluation result module includes:

[0282] A comparison submodule, configured to compare the response delay evaluation value with a preset response delay qualification threshold;

[0283] A first determination submodule is configured to determine that the response delay performance of the partial discharge multi-parameter coupling sensor meets the standard when the response delay evaluation value is less than or equal to a preset response delay qualification threshold;

[0284] The second determination submodule is configured to determine that the response delay performance of the partial discharge multi-parameter coupling sensor does not meet the standard when the response delay evaluation value is greater than a preset response delay qualification threshold.

[0285] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0286] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0287] Units described as separate components may or may not be physically separate, and 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 these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0288] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0289] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion 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 storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the method of the present invention. The aforementioned storage medium includes various media that can store program code, such as USB flash drives, mobile hard drives, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0290] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for evaluating the environmental adaptability and dynamic response of a partial discharge multi-parameter coupling sensor, characterized in that: include: Using a partial discharge multi-parameter coupled sensor to perform performance tests under different test environments, and obtaining test data of different sensor types under each of the test environments; Calculating the environmental performance degradation index corresponding to each test environment based on each of the test data; Using each of the environmental performance attenuation indicators to perform weighted correction to obtain an environmental adaptability assessment value; When the environmental adaptability evaluation value is greater than or equal to a preset environmental adaptability evaluation value, it is determined that the environmental adaptability of the partial discharge multi-parameter coupling sensor meets the standard; When the environmental adaptability evaluation value is less than the preset environmental adaptability evaluation value, it is determined that the environmental adaptability of the partial discharge multi-parameter coupling sensor does not meet the standard.

2. The environmental adaptability and dynamic response evaluation method of a partial discharge multi-parameter coupling sensor according to claim 1 is characterized in that: The test data of different sensing types include optical sensing test data, geomagnetic wave sensing test data, and ultrasonic sensing test data. Calculating the environmental performance attenuation index corresponding to each test environment based on each of the test data includes: Calculating a temperature drift error index corresponding to a temperature variation test environment based on the optical sensing test data, the geomagnetic wave sensing test data, and the ultrasonic sensing test data; Calculating a signal strength attenuation index corresponding to a damp heat test environment based on the optical sensing test data, the geomagnetic wave sensing test data, and the ultrasonic sensing test data; A signal-to-noise ratio attenuation index corresponding to an electromagnetic interference test environment is calculated based on the optical sensing test data, the geomagnetic wave sensing test data, and the ultrasonic sensing test data.

3. The environmental adaptability and dynamic response evaluation method of a partial discharge multi-parameter coupling sensor according to claim 2 is characterized in that: The optical sensing test data includes an optical signal amplitude, the geoelectric wave sensing test data includes a transient voltage amplitude, and the ultrasonic sensing test data includes an ultrasonic signal amplitude. Calculating a temperature drift error index corresponding to a temperature variation test environment based on the optical sensing test data, the geoelectric wave sensing test data, and the ultrasonic sensing test data includes: determining an optical temperature drift error value according to the optical signal amplitude and a first preset standard optical signal amplitude; Determining a ground wave temperature drift error value based on the transient voltage amplitude and a first preset standard ground wave signal amplitude; determining an ultrasonic temperature drift error value according to the ultrasonic signal amplitude and a first preset standard ultrasonic signal amplitude; The optical temperature drift error value, the geoelectric wave temperature drift error value, the ultrasonic temperature drift error value and a preset temperature drift weight factor are coupled to obtain a temperature drift error index corresponding to a temperature variation test environment.

4. The method for evaluating environmental adaptability and dynamic response of a partial discharge multi-parameter coupling sensor according to claim 3, characterized in that: The calculating the signal strength attenuation index corresponding to the damp heat test environment based on the optical sensing test data, the geomagnetic wave sensing test data, and the ultrasonic sensing test data includes: determining an optical signal intensity attenuation rate according to the optical signal amplitude and a second preset standard optical signal amplitude; determining a ground wave signal strength attenuation rate according to the transient voltage amplitude and a second preset standard ground wave signal amplitude; determining an ultrasonic signal intensity attenuation rate according to the ultrasonic signal amplitude and a second preset standard ultrasonic signal amplitude; The optical signal intensity attenuation rate, the ground wave signal intensity attenuation rate, the ultrasonic signal intensity attenuation rate and a preset signal intensity weight factor are coupled to obtain a signal intensity attenuation index corresponding to a damp heat test environment.

5. The method for evaluating environmental adaptability and dynamic response of a partial discharge multi-parameter coupling sensor according to claim 3, characterized in that: The optical sensing test data further includes an optical noise baseline and an optical noise standard deviation, the geoelectric wave sensing test data further includes a geoelectric wave noise baseline and a geoelectric wave noise standard deviation, and the ultrasonic sensing test data further includes an ultrasonic noise baseline and an ultrasonic noise standard deviation. Calculating a signal-to-noise ratio attenuation index corresponding to an electromagnetic interference test environment based on the optical sensing test data, the geoelectric wave sensing test data, and the ultrasonic sensing test data includes: Determining an optical sensing signal-to-noise ratio attenuation rate using the optical signal amplitude, the optical noise baseline, and the optical noise standard deviation; Determining a ground wave signal-to-noise ratio attenuation rate using the transient voltage amplitude, the ground wave noise baseline, and the ground wave noise standard deviation; Determining an ultrasonic signal-to-noise ratio attenuation rate using the ultrasonic signal amplitude, the ultrasonic noise baseline, and the ultrasonic noise standard deviation; The optical sensing signal-to-noise ratio attenuation rate, the ground wave signal-to-noise ratio attenuation rate, the ultrasonic signal-to-noise ratio attenuation rate and a preset signal-to-noise ratio weight factor are coupled to obtain a signal-to-noise ratio attenuation index corresponding to the electromagnetic interference test environment.

6. The method for evaluating environmental adaptability and dynamic response of a partial discharge multi-parameter coupling sensor according to claim 2, characterized in that: The environmental performance attenuation indexes are weighted and corrected to obtain an environmental adaptability assessment value, including: The temperature drift error index, the signal strength attenuation index, the signal-to-noise ratio attenuation index and a preset environmental adaptability weight factor are coupled to obtain an environmental adaptability weighted comprehensive deviation value; The difference operation is performed between the preset environmental adaptability standard value and the environmental adaptability weighted comprehensive deviation value to obtain the environmental adaptability evaluation value.

7. The method for evaluating environmental adaptability and dynamic response of a partial discharge multi-parameter coupling sensor according to any one of claims 2 to 6, characterized in that: Also includes: Based on the test data, calculate the response delay index corresponding to each test environment; The response delay indicators are coupled with a preset response delay weight factor to obtain a response delay evaluation value; The response delay evaluation value is used to perform dynamic response evaluation to obtain a dynamic response evaluation result of the partial discharge multi-parameter coupling sensor.

8. The method for evaluating environmental adaptability and dynamic response of a partial discharge multi-parameter coupling sensor according to claim 7, characterized in that: The calculating, based on each of the test data, a response delay index corresponding to each of the test environments includes: Calculating a first response delay variation corresponding to a temperature variation test environment based on the optical sensing test data, the geomagnetic wave sensing test data, and the ultrasonic sensing test data; Calculating a second response delay variation corresponding to a damp heat test environment based on the optical sensing test data, the geomagnetic wave sensing test data, and the ultrasonic sensing test data; A third response delay variation corresponding to an electromagnetic interference test environment is calculated based on the optical sensing test data, the geomagnetic wave sensing test data, and the ultrasonic sensing test data.

9. The method for evaluating environmental adaptability and dynamic response of a partial discharge multi-parameter coupling sensor according to claim 7, characterized in that: The step of performing dynamic response evaluation using the response delay evaluation value to obtain a dynamic response evaluation result of the partial discharge multi-parameter coupling sensor includes: comparing the response delay evaluation value with a preset response delay qualification threshold; When the response delay evaluation value is less than or equal to the preset response delay qualification threshold, it is determined that the response delay performance of the partial discharge multi-parameter coupling sensor meets the standard; When the response delay evaluation value is greater than the preset response delay qualification threshold, it is determined that the response delay performance of the partial discharge multi-parameter coupling sensor does not meet the standard.

10. A system for evaluating the environmental adaptability and dynamic response of a partial discharge multi-parameter coupling sensor, characterized in that: include: A testing module, configured to perform performance tests using a partial discharge multi-parameter coupling sensor under different test environments, and obtain test data of different sensor types under each of the test environments; An environmental performance degradation index module, configured to calculate an environmental performance degradation index corresponding to each of the test environments based on each of the test data; An environmental adaptability evaluation value module is used to perform weighted correction using each of the environmental performance attenuation indicators to obtain an environmental adaptability evaluation value; A first processing module is configured to determine that the environmental adaptability of the partial discharge multi-parameter coupling sensor meets the standard when the environmental adaptability evaluation value is greater than or equal to a preset environmental adaptability evaluation value; The second processing module is configured to determine that the environmental adaptability of the partial discharge multi-parameter coupling sensor does not meet the standard when the environmental adaptability evaluation value is less than the preset environmental adaptability evaluation value.

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