Non-contact generator outlet circuit breaker operation overvoltage measuring device and method

Abstract

The invention relates to the technical field of power system circuit breaker measurement, in particular to a non-contact generator outlet circuit breaker operation overvoltage measuring device and method, which comprises a light trigger position switch, a light trigger position switch, a light trigger position switch, a light trigger position switch and a light trigger position switch, and is characterized in that the light trigger position switch is arranged near an exposed moving part of a generator outlet circuit breaker; the light shielding module is used for shielding light signals through mechanical movement to generate trigger signals when the circuit breaker acts; the data acquisition unit comprises a plurality of groups of non-contact voltage sensors which are arranged at the moving end, the static end and the PT position of a generator outlet circuit breaker, and is used for synchronously acquiring operation overvoltage data in a preset time before and after taking a trigger point as a center based on a trigger signal, and the non-contact voltage sensors comprise independently equipped data acquisition cards; and the control unit is used for receiving the trigger signal and controlling the data acquisition unit to start synchronous acquisition. The method has the advantages that accurate and safe measurement is achieved, the reliability of the power system is improved, and powerful support is provided for safety evaluation and fault diagnosis.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power system circuit breaker measurement, and in particular to a non-contact generator outlet circuit breaker operating overvoltage measurement device and method. BACKGROUND

[0002] In modern power systems, generator outlet circuit breakers, as key protection devices, are widely used in large power plants such as nuclear power plants, thermal power plants, and hydropower plants. They can quickly act when detecting abnormal current, cutting off the current path, effectively preventing the generator and connected equipment from being damaged by excessive current, and having multiple functions such as isolating generator output, simplifying operation, quickly removing faults, protecting main transformers, and preventing non-full-phase operation. With the continuous advancement of intelligent technology, modern generator outlet circuit breakers gradually integrate digital communication interfaces, enabling remote monitoring and intelligent management, greatly improving the efficiency and safety of power systems.

[0003] However, the existing generator outlet circuit breaker operating overvoltage test methods and technologies have many shortcomings. Traditional measurement methods mostly use contact measurement technology, which requires direct contact with the measured object, which may cause electric shock, short circuit, and other safety hazards in actual operation. At the same time, contact measurement is easily disturbed by factors such as poor contact and contact resistance changes, resulting in insufficient measurement accuracy, and often only a single parameter can be measured, making it difficult to fully reflect the characteristics of operating overvoltage. In addition, the data processing capacity of traditional measurement devices is limited, and they cannot efficiently collect and process large amounts of data in real time, nor can they perform in-depth analysis and processing on the collected data, so they cannot accurately extract key information such as peak value, duration, and waveform characteristics of operating overvoltage, limiting their application effect in complex power systems. SUMMARY

[0004] To solve the above technical problems, the present application provides the following technical solutions:

[0005] In a first aspect, the present application provides a non-contact generator outlet circuit breaker operating overvoltage measurement device, comprising a light trigger position switch installed near the exposed moving parts of the generator outlet circuit breaker, for generating a trigger signal by mechanically blocking a light signal when the circuit breaker operates;

[0006] A data acquisition unit comprising multiple groups of non-contact voltage sensors deployed at the dynamic end, static end, and PT position of the generator outlet circuit breaker, for synchronously acquiring operating overvoltage data within a preset time before and after the trigger point based on the trigger signal, wherein the non-contact voltage sensor includes an independently equipped data acquisition card;

[0007] A control unit for receiving the trigger signal and controlling the data acquisition unit to start synchronous acquisition.

[0008] As a preferred scheme of the non-contact generator outlet circuit breaker operating overvoltage measuring device, the installation position of the light trigger position switch meets any of the following regions:

[0009] The outer extension of the swing circle surface of the outer swing arm is the center surface, and the fan-shaped column range of ±600 mm up and down;

[0010] The outer extension of the motion connecting rod and the end connector is within the cylindrical region of 600 mm;

[0011] The outer extension of the exposed motion part of the operating mechanism is within the range of 600 mm.

[0012] As a preferred scheme of the non-contact generator outlet circuit breaker operating overvoltage measuring device, the light trigger position switch is composed of a trigger sensor and an inductive photoelectric switch;

[0013] The inductive photoelectric switch emits a light signal to the trigger sensor, and when the exposed motion part of the generator outlet circuit breaker moves, the light signal is instantaneously blocked and a reflected light signal is generated;

[0014] The trigger sensor transmits the reflected light signal to the inductive photoelectric switch, which is converted into a level signal output to the control unit.

[0015] As a preferred scheme of the non-contact generator outlet circuit breaker operating overvoltage measuring device, the sampling frequency of the data acquisition card is ≥100MHz and has a buffer storage function.

[0016] As a preferred scheme of the non-contact generator outlet circuit breaker operating overvoltage measuring device, the control unit is also used for preprocessing and feature analysis of the collected operating overvoltage data to generate an operating overvoltage characteristic report.

[0017] As a preferred scheme of the non-contact generator outlet circuit breaker operating overvoltage measuring device, the light trigger position switch should have high sensitivity and fast response capability.

[0018] As a preferred scheme of the non-contact generator outlet circuit breaker operating overvoltage measuring device, the measurement accuracy of the non-contact voltage sensor is ±0.5%.

[0019] In a second aspect, the application provides a non-contact generator outlet circuit breaker operating overvoltage measuring method, comprising: when the generator outlet circuit breaker operates, detecting mechanical movement through a light trigger position switch installed near the exposed motion part, and generating a trigger signal;

[0020] Based on the trigger signal, a plurality of non-contact voltage sensors arranged at the moving end, the static end and the generator side PT position of the circuit breaker are started, and the operation overvoltage waveform data within the preset time before and after the trigger point is synchronously collected through the independently equipped data acquisition card.

[0021] After the collected operation overvoltage waveform data is preprocessed, the peak value, duration and waveform characteristics of the operation overvoltage are extracted through the deep learning model, and a characteristic measurement report is generated.

[0022] As a preferred scheme of the non-contact generator outlet circuit breaker operation overvoltage measurement method, wherein: the preprocessed operation overvoltage waveform data includes,

[0023] The collected operation overvoltage waveform data is denoised by wavelet transform or adaptive filtering, and synthetic fault data is generated by using conditional generative adversarial network to expand the sample library.

[0024] As a preferred scheme of the non-contact generator outlet circuit breaker operation overvoltage measurement method, wherein: the deep learning model is a 1D-CNN or LSTM network, which is used to perform classification, regression or anomaly detection tasks.

[0025] Compared with the prior art, the beneficial effects of the present application are: the optical trigger position switch accurately captures the generator outlet circuit breaker action and generates a trigger signal, and a plurality of non-contact voltage sensors are started to synchronously collect operation overvoltage data. The data acquisition card with high sampling frequency and buffer storage function ensures data integrity and accuracy, and after wavelet transform or adaptive filtering denoising and conditional generative adversarial network expanding the sample library, the overvoltage characteristics are extracted through the 1D-CNN or LSTM network deep learning model, and finally the characteristic measurement report is generated. The whole process not only realizes accurate and safe measurement and improves the reliability of the power system, but also provides strong support for safety evaluation and fault diagnosis. BRIEF DESCRIPTION OF DRAWINGS

[0026] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0027] Figure 1 It is a structural schematic diagram of the non-contact generator outlet circuit breaker operation overvoltage measurement device.

[0028] Figure 2 It is a flowchart of the non-contact generator outlet circuit breaker operation overvoltage measurement method. It is a structural schematic diagram of the non-contact generator outlet circuit breaker operation overvoltage measurement device.

[0029] Figure 3 A schematic block diagram of the generator outlet circuit breaker operating overvoltage measurement logic.

[0030] Figure 4 A schematic signal flow diagram of the generator outlet circuit breaker operating overvoltage measurement. DETAILED DESCRIPTION

[0031] In order to make the above objectives, features and advantages of the present application more apparent, more comprehensible, the specific embodiments of the present application will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should belong to the protection scope of the present application.

[0032] Embodiment 1, with reference to Figure 1 As a first embodiment of the present application, the embodiment provides a non-contact generator outlet circuit breaker operating overvoltage measurement device, comprising:

[0033] A light trigger position switch 1 is installed near the exposed moving part of the generator outlet circuit breaker, for generating a trigger signal by blocking a light signal through mechanical movement when the circuit breaker operates;

[0034] A data acquisition unit, comprising a plurality of groups of non-contact voltage sensors deployed at the dynamic end, static end and PT position of the generator outlet circuit breaker, for synchronously acquiring operating overvoltage data within a preset time before and after the trigger point based on the trigger signal, wherein the non-contact voltage sensor comprises an independently equipped data acquisition card;

[0035] A control unit 2 for receiving the trigger signal and controlling the data acquisition unit to start synchronous acquisition.

[0036] Further, the control unit 2 is also used for pre-processing and feature analysis of the acquired operating overvoltage data to generate an operating overvoltage characteristic report.

[0037] It should be noted that the generator outlet circuit breaker plays a key protection role in the power system, and the mechanical movement and electrical circuit change of the circuit breaker during operation are complex, and the generation of operating overvoltage has instantaneousness and randomness. Due to factors such as arc discharge and electromagnetic oscillation generated when the circuit breaker operates, the amplitude of the operating overvoltage is high and the duration is short, and the traditional measurement method is difficult to accurately capture its characteristics, and at the same time, the contact type measurement has safety hazards, and the synchronicity of data acquisition is also difficult to guarantee. In addition, the complex electromagnetic environment puts higher requirements on the anti-interference ability of the measurement equipment.

[0038] Therefore, aiming at the above problems, the application accurately captures the moment of circuit breaker action by using the light triggered position switch 1, triggers the data acquisition unit to perform synchronous acquisition, so as to ensure the accuracy and integrity of the collected data. Through the non-contact voltage sensor and the data acquisition card equipped therewith, high-precision measurement of the operating overvoltage is realized, and the safety hazards and precision problems of the traditional contact type measurement are avoided. Further, the control unit 2 analyzes and processes the collected overvoltage data, so as to effectively extract the key characteristics of the operating overvoltage and generate a characteristic measurement report, thereby providing reliable data support for the safe and stable operation of the power system, realizing real-time monitoring and accurate evaluation of the generator outlet circuit breaker operating overvoltage, and improving the reliability and safety of the power system operation.

[0039] Embodiment 2, with reference to Figure 1 For an embodiment of the application, based on the above embodiment, a non-contact generator outlet circuit breaker operating overvoltage measurement device is provided, comprising:

[0040] The light triggered position switch 1 is installed near the exposed moving part of the generator outlet circuit breaker, and is used to generate a trigger signal by mechanically blocking a light signal when the circuit breaker operates.

[0041] It can be understood that the exposed moving part includes a crank arm, a connecting rod, an end head, etc.

[0042] Preferably, the light triggered position switch 1 is installed near the exposed moving part of the generator outlet circuit breaker, so that the light triggered position switch 1 can timely and accurately capture the operating moment of the circuit breaker, provide accurate trigger time for subsequent data acquisition, and ensure that complete and accurate operating overvoltage data can be collected.

[0043] Further, the installation position of the light triggered position switch 1 satisfies any of the following regions:

[0044] A fan-shaped cylindrical range with the center face of the swing arc surface of the outer crank arm as the center face and ±600mm up and down;

[0045] Specifically, it refers to the space around the outer crank arm connected between the operating mechanism and the arc extinguishing chamber. The space around the outer crank arm is a cylindrical region with the center face of the swing arc surface of the outer crank arm as the center face, and the center face is within a fan-shaped cylindrical range of ±600mm up and down.

[0046] A cylindrical region with an extension of 600mm from the motion connecting rod and the end head connector;

[0047] Within the range of 600mm extension of the exposed moving part of the operating mechanism.

[0048] Preferably, the installation position of the above-mentioned light-triggered position switch 1 ensures that the light-triggered position switch 1 can reliably capture the blocking light signal action of the mechanical moving parts of the circuit breaker, while avoiding problems such as untimely, inaccurate signal blocking or false triggering caused by improper installation position, thereby improving the stability and reliability of the operation of the light-triggered position switch 1.

[0049] It can be understood that, under the premise of not producing interference, the relative position between the light-triggered position switch 1 and the exposed moving parts of the generator outlet circuit breaker is adjusted (adjustable support can be used to achieve the adjustment function), and the XYZ three directions are adjusted to determine the installation position. Under the premise of ensuring movement triggering and not producing false triggering, the trigger sensor 11 of the light-triggered position switch 1 is adjusted to determine the trigger sensor 11 setting parameters.

[0050] Further, the light-triggered position switch 1 is composed of a trigger sensor 11 and a sensing photoelectric switch 12;

[0051] The sensing photoelectric switch 12 emits a light signal to the trigger sensor 11, and the exposed moving parts of the generator outlet circuit breaker block the light signal instantaneously and produce a reflected light signal when moving;

[0052] The trigger sensor 11 transmits the reflected light signal to the sensing photoelectric switch 12, which converts it into a level signal output to the control unit 2.

[0053] Preferably, through the cooperation of the trigger sensor 11 and the sensing photoelectric switch 12, non-contact triggering is realized, direct contact with high-voltage circuits is avoided, and the safety of measurement is improved. At the same time, this photoelectric conversion method can quickly and accurately convert the change of the light signal into a level signal, ensuring the timely transmission and processing of the trigger signal, and providing a guarantee for the synchronous start of subsequent data acquisition.

[0054] Further, the light-triggered position switch 1 should have high sensitivity and fast response capability.

[0055] It should be noted that the light-triggered position switch 1 needs to have: ① high sensitivity (0.1 μs): that is, it can accurately capture the small light changes produced by the action of the moving parts of the circuit breaker, and is not affected by changes in light intensity, environmental noise and other external factors (100 kV / m EMI); ② fast response capability (response time ≤ 20 μs): in order to ensure that accurate trigger signals (output voltage ≤ 26.4 V DC; load current ≤ 50 mA; residual voltage ≤ 1 V) are generated at the moment of the action of the circuit breaker, and the trigger signal has small delay and jitter (jitter ≤ 10 ns); ③ good stability and durability: that is, it can maintain stable performance during long-term operation, and is not affected by temperature, humidity and other environmental factors.

[0056] The data acquisition unit comprises a plurality of non-contact voltage sensors arranged at the moving end, the static end and the PT position of the generator outlet circuit breaker, and is configured to synchronously acquire the operating overvoltage data within a preset time before and after the triggering point based on the triggering signal, wherein the non-contact voltage sensor comprises an independently equipped data acquisition card, and the preset time can be 1 min before and after the triggering point, and the preset time can be set according to actual requirements, and the preset time is not limited herein.

[0057] It should be noted that, in the process of data acquisition, high-precision time synchronization technology is adopted to ensure the accurate synchronization of the data collected by the plurality of non-contact voltage sensors in time.

[0058] Preferably, by arranging a plurality of non-contact voltage sensors at the moving end, the static end and the PT position, the characteristics of the operating overvoltage of the generator outlet circuit breaker at different positions can be comprehensively captured, and the integrity and accuracy of the data can be ensured. Further, the data is synchronously acquired based on the triggering signal, so that all the sensors can start and end data acquisition at the same time point, and the error caused by asynchronous data can be avoided. Furthermore, each sensor is equipped with an independent data acquisition card, so that the efficiency and reliability of data acquisition are improved, and the real-time and integrity of the data are ensured.

[0059] Further, the sampling frequency of the data acquisition card is ≥100 MHz and the data acquisition card has a buffer storage function.

[0060] It should be noted that the data acquisition card should have: ① high-speed data acquisition capability, so as to ensure that the complete waveform of the operating overvoltage can be acquired in real time (synchronization accuracy ±1 ns), and the sampling frequency (≥100 MHz) meets the measurement requirements; ② large-capacity storage (≥128 GB) space, which can store a large amount of acquired data, and supports data backup and recovery functions; ③ high-efficiency data transmission capability, so as to ensure that the data can be transmitted to the data processing system in time for analysis and processing, and supports multiple data transmission protocols and interfaces; and ④ buffer saving function, i.e. the 1 min operating overvoltage signal before the triggering signal can be saved.

[0061] Preferably, the high sampling frequency can capture the rapidly changing overvoltage signal, so as to ensure the detail and accuracy of the data, and the buffer storage function can start storing data before the triggering signal arrives, so as to ensure that the data before the triggering point can also be recorded completely.

[0062] Further, the measurement accuracy of the non-contact voltage sensor is ±0.5%.

[0063] It should be noted that the high-precision voltage sensor can accurately measure the waveform and amplitude of the operating overvoltage (frequency response DC-50MHz), and further, the non-contact design can avoid direct contact with the high-voltage circuit to ensure the safety of the measurement process and is not affected by high-voltage electric field, magnetic field and other interference factors.

[0064] Preferably, the high-precision measurement result helps to more accurately evaluate the characteristics of the operating overvoltage, and provides a scientific basis for safety evaluation and fault diagnosis of the power system.

[0065] The control unit 2 is used for receiving the trigger signal and controlling the data acquisition unit to start synchronous acquisition.

[0066] Further, the control unit 2 is also used for pre-processing and feature analysis of the collected operating overvoltage data to generate an operating overvoltage characteristic report.

[0067] It should be noted that the operating overvoltage characteristic report is displayed by visualization, including a corresponding relationship diagram of voltage peak value and time, a waveform feature comparison diagram and a statistical analysis report.

[0068] In summary, the beneficial effects of the non-contact generator outlet circuit breaker operating overvoltage measuring device of the present application are that the optical trigger position switch 1 accurately captures the moment of circuit breaker action and generates a trigger signal, and a plurality of non-contact voltage sensors in the data acquisition unit can efficiently and accurately collect operating overvoltage data under the synchronous control of the control unit 2. The high sampling frequency and buffer storage function of the data acquisition card ensure the integrity and detail of the collected data, and the high measurement accuracy of the non-contact voltage sensor further ensures the reliability of the data. The control unit 2 also has the ability to preprocess and analyze the collected data, and can generate an operating overvoltage characteristic report to provide a scientific basis for safety evaluation and fault diagnosis of the power system. Further, the combination of the optical trigger position switch 1 and the non-contact voltage sensor not only improves the safety of the measurement, but also realizes comprehensive and accurate measurement of the operating overvoltage, effectively solves the safety hazards, insufficient accuracy and limited data processing capacity in the traditional measurement method, and improves the reliability and safety of the power system operation.

[0069] Embodiment 3, refer to Figure 1 For an embodiment of the present application, based on the above-mentioned embodiment, a non-contact generator outlet circuit breaker operating overvoltage measuring method is provided, comprising:

[0070] S100: When the generator outlet circuit breaker operates, the mechanical movement is detected by the optical trigger position switch 1 installed near the exposed moving part, and a trigger signal is generated;

[0071] S200: Based on the trigger signal, start the multiple groups of non-contact voltage sensors deployed at the moving side, static side and generator side PT positions of the circuit breaker, and synchronously collect the operating overvoltage waveform data within the preset time before and after the trigger point through the independently equipped data acquisition card, wherein the preset time can be 1 min before and after the trigger point, and the preset time can be set according to actual needs, and the preset time is not limited here;

[0072] S300: After preprocessing the collected operating overvoltage waveform data, the peak value, duration and waveform characteristics of the operating overvoltage are extracted through the deep learning model, and a characteristic measurement report is generated, including the following steps A1-A3:

[0073] A1: The collected operating overvoltage waveform data is denoised by wavelet transform or adaptive filtering, and synthetic fault data is generated by using conditional generative adversarial network to expand the sample library;

[0074] It should be noted that wavelet transform can decompose the signal into different frequency bandwidths, effectively remove high-frequency noise, and at the same time retain the main characteristics of the signal. Adaptive filtering adjusts the parameters of the filter in real time to remove noise and improve the signal-to-noise ratio of the signal.

[0075] Further need to be explained is that CGAN is a kind of generative adversarial network, which is used to generate synthetic fault data. By taking normal operating overvoltage waveform as input, synthetic fault data with random amplitude and steepness is generated to expand the sample library, which helps to solve the problem of insufficient fault data in practice, and makes the training model more robust and generalization ability.

[0076] Preferably, removing noise in the collected data can improve the signal-to-noise ratio and quality of the data, ensure the accuracy of subsequent analysis, and further generate synthetic fault data to solve the problem of insufficient fault data, so that the model can learn more kinds of fault characteristics, and improve the recognition ability of the model to different fault conditions.

[0077] A2: The deep learning model is 1D-CNN or LSTM network, which is used to perform classification, regression or anomaly detection tasks.

[0078] It should be noted that the classification, regression or anomaly detection tasks are performed by the 1D-CNN network. Specifically, for the classification task: the pre-processed operating overvoltage waveform data is taken as the input of the 1D-CNN, and the convolution kernel in the convolution layer is used to slide on the data to perform convolution operation, and the local features in the data are extracted. The size and number of the convolution kernel can be set according to experience or experiment, for example, the convolution kernel with a size of 3 and a number of 32 is set. The correlation between several consecutive points in the waveform data is captured through the convolution operation, such as the mutation point, the oscillation frequency and the like, and the feature map after the convolution layer is input to the pooling layer. The pooling layer usually adopts maximum pooling or average pooling, and the feature map is down-sampled to reduce the dimension of the feature map and reduce the calculation amount, while the main feature information is retained. Further, the extracted high-level features are input to the fully connected layer, and the number of neurons in the fully connected layer can be determined according to the number of overvoltage types to be classified. For the regression task: similar to the feature extraction process of the classification task, the key features in the operating overvoltage waveform data are extracted through multiple convolution and pooling operations to obtain a feature vector, and the feature vector is further input to the fully connected layer. The number of output neurons in the fully connected layer is 1, which is used to predict a continuous value feature of the operating overvoltage, such as the peak value, the duration and the like. The difference between the predicted value and the true value is measured by a loss function (such as mean square error), and an optimization algorithm (such as gradient descent) is used to continuously adjust the parameters of the network, so that the prediction result is closer to the true value. For the anomaly detection task: a self-encoder model is constructed using the 1D-CNN, and the normal operating overvoltage waveform data is input. The encoder part of the self-encoder extracts the data features and maps them to a low-dimensional feature space, and the decoder part tries to reconstruct the original data from the low-dimensional feature space. For new operating overvoltage waveform data, it is input into the trained self-encoder, and the reconstruction error between the reconstructed data and the original data is calculated. If the reconstruction error exceeds the set threshold, the data is judged as abnormal data, that is, an abnormal operating overvoltage condition occurs.

[0079] Further need to be explained is that the classification, regression or anomaly detection task is performed through the LSTM network. Specifically, for the classification task: the operating overvoltage waveform data is input into the LSTM network in time sequence. Each unit of the LSTM controls the flow of information through the input gate, the forgetting gate and the output gate, and can capture long-term dependencies in the data. For example, when analyzing the operating overvoltage, the LSTM can capture features such as the influence of previous voltage changes on subsequent voltage peaks. After processing by multiple LSTM layers, the hidden state vector containing the time sequence features is extracted, and the hidden state vector of the last time step is input into the fully connected layer. The number of neurons in the fully connected layer is determined according to the number of overvoltage types. The probabilities of each category are calculated by an activation function (such as softmax), and classification is achieved; for the regression task: the operating overvoltage waveform data is input into the LSTM network, the hidden state vector is extracted, the long-term dependencies and key features in the time sequence are captured, such as voltage change trend, fluctuation period, etc., and the hidden state vector is input into the fully connected layer. The number of output neurons is 1, which is used to predict the continuous value feature of the operating overvoltage. The network parameters are adjusted through the loss function and the optimization algorithm to improve the accuracy of the regression prediction; for the anomaly detection task: an autoencoder model based on LSTM is constructed, and normal operating overvoltage waveform data is input for training. The LSTM network in the encoder part compresses the time sequence data into a low-dimensional feature vector, and the LSTM network in the decoder part reconstructs the low-dimensional feature vector into the original time sequence data; for new operating overvoltage waveform data, input the trained autoencoder, calculate the error between the reconstructed data and the original data. If the error exceeds the set threshold, it is determined that the data is abnormal, indicating that the operating overvoltage has an abnormal situation.

[0080] A3: The characteristic measurement report includes key information such as peak value, duration, waveform characteristics, etc. of the operating overvoltage.

[0081] It should be noted that the characteristic measurement report is displayed through a visual interface, which facilitates the user to intuitively understand the measurement results. Further, the visual interface also provides functions such as historical data comparison, trend analysis, anomaly detection, etc., helping technical personnel to comprehensively and deeply understand the operating overvoltage characteristics of the circuit breaker breaking point, to timely discover and handle potential problems, and to ensure the safe and stable operation of the power system.

[0082] It should be noted that in order to verify the effect of the present application, a non-contact trigger-based 160kA generator outlet circuit breaker breaking operation overvoltage characteristic test is carried out, by installing the light trigger position switch 1 under the outer elbow of the generator outlet circuit breaker 100mm below the maximum movement arc, close to the closing side position, the light trigger position switch 1 sensor is adjusted, so that the action signal can be accurately captured when the circuit breaker is actuated, and the operation overvoltage data within 1min before and after the trigger point is collected.

[0083] According to the experimental results, under normal working conditions, the operation overvoltage peak value, duration and waveform characteristics of the 160kA generator outlet circuit breaker all meet the safety standards of the power system, that is, it indicates that the circuit breaker has reached a high level in the design, manufacture and installation process, and can ensure the safe and stable operation of the power system.

[0084] In summary, the beneficial effects of the non-contact generator outlet circuit breaker operation overvoltage online measurement method of the present application are that the light trigger position switch 1 accurately detects the action of the generator outlet circuit breaker and generates a trigger signal, and a plurality of non-contact voltage sensors are started to synchronously collect operation overvoltage waveform data, the high sampling frequency and buffer storage function of the data acquisition card ensure the completeness and accuracy of the data. The preprocessing step effectively reduces noise and expands the sample library, and the deep learning model (1D-CNN or LSTM network) can accurately extract overvoltage characteristics and generate detailed characteristic measurement reports, which improves the accuracy, reliability and intelligent level of measurement, and provides strong support for power system safety evaluation and fault diagnosis.

[0085] It should be noted that the above examples are only used to illustrate the technical solutions of the present application and are not limited, although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present application, which should be covered in the scope of the claims of the present application.

Claims

1. A non-contact generator outlet breaker operating overvoltage measuring device characterized by: Comprising, a light triggered position switch (1) installed near the exposed moving parts of the generator outlet circuit breaker, used to generate a trigger signal by blocking the light signal through mechanical movement when the circuit breaker operates; a data acquisition unit including multiple sets of non-contact voltage sensors deployed at the dynamic end, static end and PT position of the generator outlet circuit breaker, used to synchronously collect the operating overvoltage data within a preset time before and after the trigger point based on the trigger signal, wherein the non-contact voltage sensor contains an independently equipped data acquisition card; a control unit (2) for receiving the trigger signal and controlling the data acquisition unit to start synchronous collection.

2. A non-contact generator outlet circuit breaker operating overvoltage measuring device as claimed in claim 1, characterised in that: The installation position of the light triggered position switch (1) meets any of the following areas: a cylindrical column range with a swing arc surface of the outer elbow as the center surface, ±600mm up and down; a cylindrical area with an extension of 600mm from the motion connecting rod and end connector; a range of 600mm extension from the exposed moving parts of the operating mechanism.

3. A non-contact generator outlet circuit breaker operating overvoltage measuring device as claimed in claim 2, characterised in that: The light triggered position switch (1) is composed of a trigger sensor (11) and an induction photoelectric switch (12); The induction photoelectric switch (12) emits a light signal to the trigger sensor (11), which is temporarily blocked when the exposed moving parts of the generator outlet circuit breaker move and generates a reflected light signal; The trigger sensor (11) transmits the reflected light signal to the induction photoelectric switch (12), which converts it into a level signal output to the control unit (2).

4. A non-contact generator outlet breaker operating overvoltage measuring device as claimed in claim 3 characterised in that: The sampling frequency of the data acquisition card is ≥100MHz and has a buffer storage function.

5. A non-contact generator outlet circuit breaker operating overvoltage measuring device as claimed in claim 4, characterised in that: The control unit (2) is also used to preprocess and analyze the collected operating overvoltage data to generate an operating overvoltage characteristic report.

6. A non-contact generator outlet breaker operating overvoltage measuring device as claimed in claim 5, characterised in that: The light triggered position switch (1) should have high sensitivity and fast response capability.

7. A non-contact generator outlet breaker operating overvoltage measuring device as claimed in claim 6, characterised in that: The measurement accuracy of the non-contact voltage sensor is ±0.5%.

8. A method for on-line measurement of switching overvoltage of a non-contact generator outlet circuit breaker, using the device according to any one of claims 5-7, characterized in that, Comprising, When the generator outlet circuit breaker operates, the mechanical movement is detected by the light triggered position switch (1) installed near the exposed moving parts, and a trigger signal is generated; Based on the trigger signal, multiple sets of non-contact voltage sensors deployed at the dynamic end, static end and PT position of the circuit breaker are started, and the operating overvoltage waveform data within a preset time before and after the trigger point is synchronously collected through the independently equipped data acquisition card; After preprocessing the collected operating overvoltage waveform data, the peak value, duration and waveform characteristics of the operating overvoltage are extracted through a deep learning model to generate a characteristic measurement report.

9. A method of non-contact generator outlet circuit breaker operating overvoltage on-line measurement as claimed in claim 8, characterized in that: The preprocessing of the collected operating overvoltage waveform data includes, Wavelet transform or adaptive filtering is used to denoise the collected operating overvoltage waveform data, and conditional generative adversarial network is used to generate synthetic fault data to expand the sample library.

10. A method of non-contact generator outlet circuit breaker operating overvoltage on-line measurement as claimed in claim 8, characterized in that: The deep learning model is a 1D-CNN or LSTM network, which is used to perform classification, regression or anomaly detection tasks.

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