Alternating current series fault arc test platform and fault arc characteristic data acquisition method

Abstract

The application discloses an alternating current series fault arc test platform and a fault arc characteristic data acquisition method. The alternating current series fault arc test platform comprises electrode one and electrode two which are connected in series in an alternating current series test circuit; a two-dimensional sliding table for changing the distance between the electrode one and the electrode two; a current probe for acquiring current data between the electrode one and the electrode two during the change of the distance between the electrode one and the electrode two; the current probe is connected to an upper computer through an acquisition card, and the upper computer is used for identifying whether there is a fault arc between the electrode one and the electrode two according to the current data. The application realizes accurate simulation of alternating current series fault arcs in a laboratory environment, facilitates the research on the characteristics of the fault arcs, realizes high-precision and automatic data acquisition, improves the experimental efficiency and reduces the error caused by manual operation.

Description

Technical Field

[0001] This invention belongs to the field of power control technology, specifically relating to an AC series fault arc test platform and a method for acquiring fault arc characteristic data. Background Technology

[0002] In contemporary society, the ever-increasing demand for electricity has made electrical safety a growing public concern. Electrical fires, due to their suddenness and rapid spread, are often difficult to detect and control effectively, posing a significant hidden danger in the field of electrical safety. These fires not only occur rapidly, but once they break out, the speed of their spread and the difficulty of rescue efforts are considerable, often resulting in extremely severe losses. Therefore, the prevention and control of electrical fires has become a crucial issue that urgently needs to be addressed in the field of electrical safety. Analysis shows that approximately 80% of electrical fires are caused by fault arcing. Fault arcing refers to the discharge phenomenon in an electrical system caused by factors such as aging or damage to insulation materials, poor contact, or external force, resulting in current flowing through poorly connected areas. The temperature generated can reach over 3000 degrees Celsius, enough to melt metal and cause serious damage to surrounding equipment and materials. Fault arcing is one of the direct causes of electrical fires; the high temperature and sparks it produces easily ignite surrounding flammable materials, leading to a fire. Existing circuit protection devices, such as circuit breakers and residual current devices (RCDs), are generally unable to effectively monitor and protect against AC series fault arcs because the arc current is often below the operating threshold of these devices. In summary, AC series fault arcs are highly hazardous and difficult to detect. Therefore, accurately simulating AC series fault arcs in a laboratory environment and studying their arc characteristics is of great significance. Summary of the Invention

[0003] To address the shortcomings of existing technologies, this invention provides an AC series fault arc test platform and a fault arc characteristic data acquisition method. This platform enables accurate simulation of AC series fault arcs in a laboratory environment, facilitating the study of fault arc characteristics. It also achieves high-precision, automated data acquisition, improving experimental efficiency and reducing human error.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0005] In a first aspect, an AC series fault arc test platform is provided, comprising: an electrode one and an electrode two connected in series in an AC series test circuit; a two-dimensional slide table for changing the distance between the electrode one and the electrode two; a current probe for acquiring current data between the electrode one and the electrode two during the process of the distance between the electrode one and the electrode two changing; the current probe is connected to a host computer via a data acquisition card, and the host computer is used to identify whether there is a fault arc between the electrode one and the electrode two based on the current data.

[0006] Furthermore, the AC series test circuit uses an RLC programmable AC load cell to simulate electrical loads of different natures and is equipped with a protective switch to limit the circuit current and prevent leakage.

[0007] Furthermore, the two-dimensional slide includes a robotic arm translation stage that moves along the X-axis and Y-axis respectively. The robotic arm translation stage is driven by a stepper motor with a step angle ≤1.8°.

[0008] Furthermore, the robotic arm translation stage moving along the X-axis fixes electrode one with electrode clamps, and the robotic arm translation stage moving along the Y-axis fixes electrode two with electrode clamps; an insulating support is provided between each electrode clamp and the corresponding robotic arm translation stage.

[0009] Further, identifying whether there is a fault arc on electrode one and electrode two based on the current data includes: preprocessing the acquired current signal to obtain a preprocessed signal; extracting features from the preprocessed signal to obtain the time-domain features and frequency-domain features of the current; inputting the time-domain features and frequency-domain features of the current into a trained AC series fault arc identification model, and outputting the fault arc identification result.

[0010] Furthermore, it also includes a high-voltage differential probe for acquiring voltage data between electrode one and electrode two as the distance between electrode one and electrode two changes; the voltage data is used to analyze the volt-ampere characteristics of the arc initiation, extinction, reignition and arcing stages under different loads and different electrode gaps, and to perform auxiliary analysis of the arc period.

[0011] Furthermore, it also includes an infrared thermal imager, which is used to collect temperature changes and heat distribution in the areas where electrode one and electrode two are located, in order to analyze the characteristics of electric arc combustion.

[0012] Furthermore, it also includes a camera, which is used to acquire image information of the areas where electrode one and electrode two are located, in order to analyze the characteristics of electric arc combustion.

[0013] Secondly, a method for acquiring AC series fault arc characteristic data based on the AC series fault arc test platform described in the first aspect is provided, comprising: step S1, setting the operating parameters of the two-dimensional slide, the maximum electrode spacing between electrode one and electrode two, and the number of data acquisitions; step S2, starting the two-dimensional slide to adjust the spacing between electrode one and electrode two to zero, and triggering data acquisition; step S3, the two-dimensional slide gradually increasing the spacing between electrode one and electrode two from zero to the maximum electrode spacing according to the set operating parameters; step S4, storing the data acquired during the process of gradually increasing the spacing between electrode one and electrode two from zero to the maximum electrode spacing; step S5, repeating steps S2 to S4 until the set number of data acquisitions is reached.

[0014] Furthermore, the data acquisition includes: synchronously acquiring current data between electrode one and electrode two, voltage data between electrode one and electrode two, temperature changes and heat distribution in the areas where electrode one and electrode two are located, and image information of the areas where electrode one and electrode two are located.

[0015] Compared with the prior art, the beneficial effects achieved by the present invention are as follows:

[0016] (1) The present invention uses electrodes one and two connected in series in an AC series test circuit; a two-dimensional slide table for changing the distance between electrodes one and two; a current probe for collecting current data between electrodes one and two during the process of the distance between electrodes one and two changing; the current probe is connected to a host computer through a data acquisition card, and the host computer is used to identify whether there is a fault arc between electrodes one and two based on the current data. This invention realizes the accurate simulation of AC series fault arc in a laboratory environment, which is convenient for studying the characteristics of fault arc. It also realizes high-precision and automated data acquisition, improves experimental efficiency, and reduces human error.

[0017] (2) This invention can be applied to the simulation of fault arcs generated under different actual conditions. High-precision motor parameters can be applied to the study of fault arc characteristics under different gap distances. The automated control scheme can ensure the continuous recording of multiple sets of fault arc data. At the same time, a fault arc feature database under different working conditions can be established to provide experimental data basis for the monitoring and identification of fault arcs. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the principle of an AC series fault arc test platform provided in an embodiment of the present invention;

[0019] Figure 2 This is a flowchart of the automated acquisition process for fault arc characteristic data in an embodiment of the present invention;

[0020] Figure 3 This is a flowchart of the fault arc identification process in an embodiment of the present invention. Detailed Implementation

[0021] The present invention will be further described below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and should not be used to limit the scope of protection of the present invention.

[0022] Example 1

[0023] like Figure 1 As shown, an AC series fault arc test platform includes: electrode one and electrode two connected in series in an AC series test circuit; a two-dimensional slide table for changing the distance between electrode one and electrode two; a current probe for collecting current data between electrode one and electrode two as the distance between electrode one and electrode two changes; the current probe is connected to a host computer via a data acquisition card, and the host computer is used to identify whether there is a fault arc between electrode one and electrode two based on the current data.

[0024] I. The AC series test circuit in this invention mainly includes an AC power supply, a protection switch, an RLC programmable AC load box, and electrodes one and two for simulating fault arcs.

[0025] (1) RLC Programmable AC Load Box: Existing simulation schemes for fault arcs all use multiple loads in parallel to study the effect of load current level and load type on arc characteristics. However, this method is cumbersome and has limited adjustment levels. By connecting an RLC programmable AC load box, it is possible to adjust resistive, inductive, and capacitive loads with high current levels, reducing circuit complexity and improving circuit safety. This invention uses a 6KVA RLC programmable AC load box, in which the resistance is adjustable from 0-6kW with a minimum step of 0.01kW, the inductance and capacitance are adjustable from 0-6kvar with a minimum step of 0.01kvar, and the power factor is adjustable from 0.33 to 1.0. The equipment uses forced air cooling, can work continuously, and can display parameters such as voltage, current, active power, apparent power, reactive power, and power factor in real time. It can be controlled by local touch screen control and remote host computer control.

[0026] (2) Protection switch: In order to prevent leakage from endangering experimental safety under special circumstances, a leakage protection circuit breaker (63a) is added to the simulation circuit as a protection switch to limit the circuit current and prevent leakage.

[0027] II. High-Precision Two-Dimensional Slide Stage: The two-dimensional slide stage employs two robotic arms for translation, with a stepper motor (selectable with a step angle ≤ 1.8°) mounted at the end of each guide rail. This enables the guide rail to move with a repeatability of 10μm in both the X and Y axes, while also providing zero-position and limit functions. The motors are driven by stepper motor drivers, which output pulse signals to control the stepper motor's operation. The speed is adjusted by regulating the operating current, thereby changing the noise and heat generation levels. The control platform communicates with the computer via serial port. By setting different parameters, the fault arc gap distance, movement speed, and movement mode can be changed. Both robotic arms are set with a step angle of 1.8°, a lead screw of 5mm, a microstepping scale of 8, and a minimum step size of 0.003125mm, meeting the simulation conditions for fault arcs with minute gaps.

[0028] To make the general-purpose two-dimensional slide stage suitable for AC series fault arc testing, this invention adapts the connection structure and control method of the two-dimensional slide stage and electrode assembly: a polyurethane insulated support is installed between the robotic arm translation stage and the live electrode fixture to achieve electrical isolation between the 220V AC test circuit and the mechanical transmission part of the slide stage; a moving copper rod electrode is installed on the robotic arm translation stage, which moves along the X-axis, to control the electrode gap change in the arc direction; micro-displacement control is achieved by combining drive parameters of 1.8° step angle, 5mm lead screw, and 8 microsteps, allowing for displacement steps in the 0.01mm range according to test requirements; simultaneously, zero-position, limit, and repeat positioning functions are used to reset the moving electrode after each round of data acquisition to reduce the impact of reciprocating motion positioning errors and electrode erosion on the repeatability of the electrode gap. Thus, the two-dimensional slide stage meets the requirements of live isolation, precise adjustment of small gaps, and continuous repeatability of multiple sets of fault arc tests.

[0029] Because the electrodes are subject to a 220V AC voltage during the fault arc simulation, the slide table would become energized and damage the equipment without an insulating support device, posing a risk of electric shock. Therefore, an insulating support made of polyurethane is first fixed to the slide table for electrical isolation, and then an electrode clamp made of copper is fixed on top of the insulating support. One end of the electrode is a copper rod electrode with a pointed tip, which is the moving end; the other end is a graphite electrode, which is the fixed end. The moving end (electrode one) can be placed on the translation stage of the robotic arm moving along the X-axis, and the fixed end (electrode two) can be placed on the translation stage of the robotic arm moving along the Y-axis. To fully fix the electrode and ensure good contact between the electrode and the clamp, a circular hole is left in the middle of the clamp, and two M4 screws are used for fastening.

[0030] This invention provides precise positioning of the electrode gap distance. A sophisticated mechanical structure is used to fix and adjust the electrodes, ensuring accurate control of the distance between them. Because the reciprocating motion of the electrodes introduces positioning errors, the position of the moving electrodes is repositioned after each data collection cycle to minimize the error in the electrode gap distance and ensure the accuracy of the experimental data. Furthermore, since arc erosion can affect the electrode assembly, and the electrodes may oxidize and become damaged after multiple tests, this invention allows for convenient electrode replacement.

[0031] III. Current Probe: Used to collect current data between electrodes one and two as the distance between them changes. This invention selects a current probe with a sensitivity of not less than 0.1 Volt / Ampere, an accuracy of +1 / -0%, an output impedance of 50 Ohms, and the ability to measure a maximum peak current of 5000 A and a maximum effective current of 50 A. The low-frequency 3dB point is 1 Hz, and the high-frequency 3dB point is 20 MHz, meeting the experimental requirements.

[0032] IV. High-voltage differential probe: Used to acquire voltage data between electrodes one and two as the distance between them changes. The high-voltage differential probe selected in this invention provides attenuation ratios of X20, X50, and X200. At an attenuation ratio of X200, the maximum peak-to-peak voltage is 1400Vpp, and the input-to-ground voltage is 600Vrms. The differential input impedance is 4MΩ / 1.2pF, and the single-ended input impedance to ground is 2MΩ / 2.3pF. Improving safety by processing the differential voltage across the arc before inputting it to the oscilloscope avoids the risk of electric shock associated with floating ground measurements and the complexity of pseudo-differential measurements. The purpose of acquiring the voltage signals across the arc is to characterize the arc initiation, extinction, and reignition processes of a series fault arc and to perform synchronous analysis with the loop current. Specifically, after the arc temporarily extinguishes near the zero current crossing, as the voltage across the arc gap recovers and reaches the reignition condition, a reignition spike may appear in the voltage signal, which then drops to the voltage level of the arcing stage. Therefore, by synchronously recording the arc voltage and current, the reignition voltage, arcing voltage, and volt-ampere characteristics under different loads and electrode gaps can be analyzed, and the arc period and arcing stage can be determined. It should be noted that the necessary input for the AC series fault arc identification model in this invention is still the time-frequency domain features extracted based on the current signal, while the voltage signal is mainly used for the analysis of arc combustion characteristics and volt-ampere characteristics.

[0033] V. Data Acquisition Card: The data acquisition card selected in this invention is used as a voltage and current acquisition device. It has two analog input channels that can sample simultaneously, with a maximum sampling rate of 100 MS / s and supports multiple triggering modes, including edge, window, hysteresis and digital triggering.

[0034] VI. Host PC: The PC is required to be able to acquire, measure and store voltage and current waveforms.

[0035] VII. Infrared Thermal Imager: Used to collect temperature changes and heat distribution in the areas where electrodes one and two are located, in order to analyze the characteristics of electric arc combustion. This invention uses an infrared thermal imager to collect temperature changes and heat transfer processes during the combustion of a faulty electric arc. The equipment has a high resolution of no less than 640×480 pixels, provides 16-bit linear temperature output, and supports non-contact temperature measurement. It has a wide temperature measurement range, from -40 to +150°C, +100 to +650°C, and +300 to +2000°C. Its high resolution and wide temperature measurement range are suitable for measuring the temperature and heat distribution of electric arcs caused by poor contact.

[0036] 8. High-speed camera: Used to acquire image information of the areas where electrodes one and two are located to analyze the arc combustion characteristics. This invention selects a high-speed camera with a resolution of no less than 1280×800, a pixel size of 28 micrometers, and a 12-bit depth to ensure high sensitivity and image quality in ultra-high-speed imaging. The maximum shooting rate is 650,000 frames / second, and the minimum exposure time is 1µs (standard), meeting the image acquisition requirements of AC arcs. Because AC arcs exhibit a zero-crossing phenomenon, during the current zero-crossing period, the arc temperature decreases, and the gas medium in the arc gap begins to partially recombine. If the recombination of the arc gap gas plasma is good at this zero-crossing moment, the arc will extinguish. If the voltage recovery strength exceeds the gas medium recovery strength, the arc will reignite. Based on the high-speed camera capturing the arc combustion changes during the arcing process, the arc combustion characteristics under different electrode gap distances and different current levels are further analyzed.

[0037] IX. Methods for acquiring characteristic data of AC series fault arcs, such as... Figure 2 As shown, it includes:

[0038] Step S1: Set the operating parameters of the 2D slide stage, the maximum electrode spacing between electrode one and electrode two, and the number of data acquisitions; initialize the slide stage motor parameters, setting the step angle to 1.8°, the lead screw to 5mm, the microstepping to 8, the step size to 0.01mm, the number of cycles N, and the maximum electrode gap distance to 0.2mm. To accurately acquire voltage and current waveforms under different electrode gap distances, set the oscilloscope to trigger acquisition mode.

[0039] Step S2: The initial electrodes have a certain gap. As the electrodes are moved, the gap is gradually reduced to 0. Therefore, the two-dimensional slide needs to be activated to adjust the distance between electrode one and electrode two to zero. At this time, data acquisition is triggered, including the acquisition of current data and voltage data. At the same time, the infrared thermal imager and the high-speed camera are activated synchronously to acquire data.

[0040] Step S3: The two-dimensional slide table gradually increases the distance between electrode one and electrode two from zero to the maximum electrode distance according to the set operating parameters; after the two-dimensional slide table adjusts the distance between electrode one and electrode two to zero, it moves in the opposite direction and increases the gap distance according to the set moving speed until the gap distance increases to 0.2mm, then stops moving.

[0041] Step S4: Store the data collected during the process of gradually increasing the distance between electrode one and electrode two from zero to the maximum electrode distance.

[0042] Step S5: Decrease the number of cycles by 1, and determine whether the number of cycles has reached the requirement. If the requirement is met, the data acquisition is completed. Otherwise, move the electrode in the opposite direction to reduce the gap distance, and repeat the above experimental operation until the number of cycles is completed.

[0043] 10. Fault arc identification mainly relies on the current waveform to determine whether the circuit is in a normal state or has a fault arc. The specific process is as follows: Figure 3 As shown:

[0044] First, the acquired current signals are preprocessed to ensure data accuracy and usability. Noise and interference are removed through filtering and denoising, resulting in clearer current waveforms for easier subsequent analysis. Then, normalization is performed to ensure consistency of the current signal under different conditions. After normalization, feature extraction is conducted to extract time-domain and frequency-domain features of the current. Time-domain features include parameters such as the moving average of the current and the average rate of change of the current, while frequency-domain features involve parameters such as the proportion of the fundamental component, the relative proportion of the fundamental component, and the relative proportion of the third harmonic, obtained after Fourier transforming the signal. Based on the extracted features, machine learning algorithms are used to train an AC series fault arc identification model.

[0045] In this embodiment, the training data for the AC series fault arc identification model selects various typical load conditions, including electric kettles, electric drills, laptops, metal halide lamps, and LED light strips. Current data for each load is collected under normal and fault arc conditions, and divided into training and test sets in a 7:3 ratio. The AC series fault arc identification model employs a random forest model, which consists of multiple CART decision trees. During training, the training set is bootstrap-sampled with replacement to form sub-training sets for each decision tree. At each node split, some features are randomly selected from the aforementioned 10-dimensional time-frequency domain features, and the Gini index is used as the node split evaluation criterion. After each decision tree completes its growth, a category label is output through majority voting. Based on the result of the out-of-bag (OOB) error varying with the number of decision trees, the number of decision trees is determined to be 50, and the maximum depth of the decision trees is set to 25, and the minimum number of leaves is set to 1. After the model training is completed, the real-time acquired current signal is preprocessed and 10-dimensional feature extraction is performed in the same way as in the training phase to form an input feature vector, which is then input into the trained random forest model. The model outputs the corresponding category label and determines whether a fault arc exists based on the normal state or fault arc state corresponding to the label. If the output is a fault arc state, an alarm is triggered and the circuit is disconnected.

[0046] This model can learn the differences between normal and abnormal current signals and gradually improve its recognition accuracy. Through extensive data training, the AC series fault arc identification model can identify specific patterns associated with fault arcs. After training, it enters real-time monitoring mode. When a current signal is detected, the system quickly extracts features and inputs them into the trained AC series fault arc identification model. If the AC series fault arc identification model determines that an arc is present, the system will trigger an alarm and automatically disconnect the circuit to prevent potential fires or equipment damage.

[0047] Arc faults are typically accompanied by rapid changes in current. Feature extraction from time-domain parameters can quickly identify the presence of an arc. Furthermore, arc faults often generate abundant high-frequency components, making frequency domain indicators crucial for arc fault identification. However, different load types significantly impact current waveforms, resulting in a lack of universality in feature value selection. Selecting different time-frequency domain feature values ​​for different loads can improve the speed and accuracy of arc fault identification. The impact of different machine learning algorithms on arc identification is mainly reflected in feature extraction capability, model generalization ability, training efficiency, and accuracy. Based on the characteristics of the arc signal (time-frequency domain features) and the load type, considering the computational complexity and required hardware resources, an algorithm capable of rapid training and efficient processing of large amounts of data can be selected.

[0048] This invention allows for the replacement of electrode materials according to experimental needs and enables the automated movement of the electrode device. By flexibly adjusting the separation direction and gap distance of the electrodes, it can simulate various arc generation methods under different real-world conditions, such as poor contact and contact point jitter, thereby improving the accuracy of series fault arc simulation and enhancing the practicality and accuracy of the experimental platform. This invention is equipped with comprehensive measurement and monitoring equipment, enabling precise control of the electrode gap and continuous acquisition of multiple sets of experimental data, ensuring experimental consistency and repeatability, reducing human error, and improving research efficiency.

[0049] This invention employs a high-precision two-dimensional sliding stage to construct an arc generator and designs an automated control scheme. For the measurement circuit, a data acquisition card is used as the voltage and current acquisition device. Automatic identification of fault arcs is based on the aforementioned current time-frequency domain characteristics and a trained random forest recognition model. Voltage and current signals are acquired synchronously to analyze the volt-ampere characteristics during the arc initiation, extinction, reignition, and combustion stages, and to assist in the analysis of the arc cycle. For monitoring arc combustion characteristics, an infrared thermal imager is used to acquire arc temperature changes and heat transfer processes during arc combustion, while a high-speed camera simultaneously captures the dynamic evolution of low-voltage AC series fault arcs. This platform features two-dimensional degrees of freedom, high precision, and automated control. It can accurately acquire voltage and current curves for different arc cycles and monitor temperature changes and dynamic arc evolution in real time during arc combustion. It provides a novel experimental platform for researchers studying fault arcs and is of great significance for understanding the generation mechanism, prevention, and control of electrical fires. Based on multiple experimental data, an arc characteristic database under different operating conditions is constructed. This database support improves the accuracy of fire early warning and monitoring systems.

[0050] Example 2

[0051] Based on the AC series fault arc test platform described in Embodiment 1, this embodiment provides a method for acquiring AC series fault arc characteristic data, including:

[0052] Set the operating parameters of the two-dimensional slide, the maximum electrode spacing between electrode one and electrode two, and the number of data acquisitions;

[0053] The two-dimensional sliding stage is activated to adjust the distance between electrode one and electrode two to zero, and data acquisition is triggered.

[0054] The two-dimensional slide gradually increases the distance between electrode one and electrode two from zero to the maximum electrode distance according to the set operating parameters.

[0055] The data collected during the process of gradually increasing the distance between electrode one and electrode two from zero to the maximum electrode distance is stored.

[0056] Repeat the above process until the set number of data collections is reached.

[0057] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. An AC series fault arc test platform, characterized in that, include: Electrode one and electrode two are connected in series in the AC series test circuit; A two-dimensional slide table used to change the distance between electrode one and electrode two; A current probe used to collect current data between electrodes one and two as the distance between electrodes one and two changes. The current probe is connected to a host computer via a data acquisition card. The host computer is used to identify whether there is a fault arc on electrode one and electrode two based on the current data.

2. The AC series fault arc test platform according to claim 1, characterized in that, The AC series test circuit uses an RLC programmable AC load cell to simulate electrical loads of different types and is equipped with a protective switch to limit the circuit current and prevent leakage.

3. The AC series fault arc test platform according to claim 1, characterized in that, The two-dimensional slide includes a robotic arm translation stage that moves along the X-axis and Y-axis respectively. The robotic arm translation stage is driven by a stepper motor with a step angle ≤1.8°.

4. The AC series fault arc test platform according to claim 3, characterized in that, The robotic arm translation stage moving along the X-axis fixes electrode one with electrode clamps, and the robotic arm translation stage moving along the Y-axis fixes electrode two with electrode clamps; each electrode clamp is provided with an insulating support between itself and the corresponding robotic arm translation stage.

5. The AC series fault arc test platform according to claim 1, characterized in that, Identifying whether fault arcs exist on electrode one and electrode two based on the current data includes: The acquired current signal is preprocessed to obtain a preprocessed signal; Feature extraction is performed on the preprocessed signal to obtain the time-domain and frequency-domain features of the current, respectively; The time-domain and frequency-domain characteristics of the current are input into the trained AC series fault arc identification model, and the fault arc identification result is output.

6. The AC series fault arc test platform according to claim 1, characterized in that, It also includes a high-voltage differential probe for collecting voltage data between electrode one and electrode two as the distance between electrode one and electrode two changes; the voltage data is used to analyze the volt-ampere characteristics of the arc initiation, arc extinction, reignition and arc burning stages under different loads and different electrode gaps, and to perform auxiliary analysis of the arc period.

7. The AC series fault arc test platform according to claim 1, characterized in that, It also includes an infrared thermal imager, which is used to collect temperature changes and heat distribution in the areas where electrode one and electrode two are located, in order to analyze the characteristics of electric arc combustion.

8. The AC series fault arc test platform according to claim 1, characterized in that, It also includes a camera, which is used to collect image information of the areas where electrode one and electrode two are located in order to analyze the characteristics of electric arc combustion.

9. A method for acquiring AC series fault arc characteristic data based on the AC series fault arc test platform according to any one of claims 1 to 8, characterized in that, include: Step S1: Set the operating parameters of the two-dimensional slide, the maximum electrode spacing between electrode one and electrode two, and the number of data acquisitions; Step S2: Start the two-dimensional slide to adjust the distance between electrode one and electrode two to zero, and trigger data acquisition; Step S3: The two-dimensional slide gradually increases the distance between electrode one and electrode two from zero to the maximum electrode distance according to the set operating parameters. Step S4: Store the data collected during the process of gradually increasing the distance between electrode one and electrode two from zero to the maximum electrode distance; Step S5: Repeat steps S2 to S4 until the set number of data collections is reached.

10. The method for acquiring AC series fault arc characteristic data according to claim 9, characterized in that, The data acquisition includes: synchronously acquiring current data between electrode one and electrode two, voltage data between electrode one and electrode two, temperature changes and heat distribution in the areas where electrode one and electrode two are located, and image information of the areas where electrode one and electrode two are located.

Images