Temperature rise test system

Abstract

The invention provides a temperature rise test system, and relates to the field of heating characteristic testing of power equipment. The system comprises a power supply control system, an electric field regulation and control system, an environment simulation system, a discharge detection system, a three-dimensional temperature field monitoring system and a processing system. The power supply control system simulates equipment operation voltage; the electric field regulation and control system simulates a non-uniform electric field in the equipment; the environment simulation system simulates external environment conditions; the discharge detection system detects the partial discharge condition of the equipment under the simulation condition, obtains discharge parameters and transmits the discharge parameters to the processing system; the three-dimensional temperature field monitoring system monitors temperature distribution on the surface and in the equipment and transmits the temperature distribution to the processing system; and the processing system determines an association relationship between the partial discharge condition and the temperature rise based on the temperature distribution and the discharge parameters. Through cooperation of multiple systems, the influence of the external environment and internal electrical parameters on heating of the equipment is comprehensively simulated, and the heating behavior of the equipment under the actual working condition is reflected more truly, so that the accuracy of temperature rise simulation is improved.

Description

Technical Field

[0001] This application relates to the technical field of heat generation characteristic testing of power equipment, and particularly relates to a temperature rise test system. Background Art

[0002] The heat generation problem of power equipment is usually caused by two mechanisms: voltage-induced heating and current-induced heating. Among them, voltage-induced heating faults are mainly closely related to factors such as the characteristics of the insulating material of the equipment, the electric field distribution, and partial discharge. In the power system, in parts such as transformer windings, capacitor dielectrics, and insulator surfaces, heat accumulation often occurs during long-term operation due to factors such as electric field concentration, insulation aging, and partial discharge, which is likely to cause local overheating, and then lead to damage or failure of power equipment. Especially in high-voltage equipment, the voltage-induced heating effect may cause carbonization or breakdown of the insulating material, and even pose major safety hazards such as fires.

[0003] In the related art, most temperature rise test systems mainly focus on the influence of single factors such as voltage amplitude, frequency, or temperature on the heat generation of power equipment, and are usually used to simulate the temperature rise process of power equipment under a certain specific condition, but there is a problem of low accuracy in temperature rise simulation. Summary of the Invention

[0004] This application provides a temperature rise test system to improve the accuracy of temperature rise simulation.

[0005] In a first aspect, this application provides a temperature rise test system, including: a power supply control system, an electric field regulation system, an environment simulation system, a discharge detection system, a three-dimensional temperature field monitoring system, and a processing system; the power supply control system, the electric field regulation system, the environment simulation system, the discharge detection system, and the three-dimensional temperature field monitoring system are all connected to the processing system; where:

[0006] The power supply control system is used to simulate the voltage of the power equipment during actual operation;

[0007] The electric field regulation system is used to simulate the unevenly distributed electric field inside the power equipment;

[0008] The environment simulation system is used to simulate the external environmental conditions of the power equipment during actual operation;

[0009] The discharge detection system is used to detect the partial discharge situation during the simulated operation of the power equipment under voltage, electric field, and external environmental conditions, obtain discharge parameters, and transmit the discharge parameters to the processing system;

[0010] The three-dimensional temperature field monitoring system is used to perform penetrative temperature field monitoring on the power equipment, obtain the temperature distribution on the surface and inside of the power equipment, and transmit the temperature distribution to the processing system;

[0011] The processing system is used to determine the correlation between the partial discharge condition and the temperature rise of the power equipment based on the temperature distribution and the discharge parameters.

[0012] In a possible implementation, the processing system is also used to dynamically adjust the outputs of the power control system, the electric field regulation system, and the environmental simulation system based on the temperature distribution and the discharge parameters to adjust the temperature rise test conditions of the power equipment.

[0013] In one possible implementation, the temperature rise test system also includes an insulation material aging status monitoring system; the insulation material aging status monitoring system is used to monitor the aging status of the insulation material of the power equipment under the combined effects of voltage, electric field and external environmental conditions, and transmit the aging status to the processing system; the processing system is also used to predict the life of the insulation material based on the aging status.

[0014] In a possible implementation, an insulating material aging state monitoring system includes: a dielectric performance testing unit, a chemical structure analysis unit and an aging state evaluation unit; wherein the dielectric performance testing unit is used to monitor in real time the dielectric performance changes of the insulating material of the power equipment under the combined effects of voltage, electric field and external environmental conditions, and the dielectric performance changes include dielectric loss angle measurement data and partial discharge starting voltage detection data; the chemical structure analysis unit is used to monitor in real time the chemical structure changes of the insulating material through a Fourier infrared spectroscopy sampling port to quantify the material performance degradation; the aging state evaluation unit is used to evaluate the aging state of the insulating material based on the monitoring data of the dielectric performance testing unit and the chemical structure analysis unit.

[0015] In one possible embodiment, a three-dimensional temperature field monitoring system includes a first temperature sensor deployed inside the power equipment, a second temperature sensor deployed outside the power equipment, and a data fusion unit; wherein the first temperature sensor is used to monitor first temperature distribution data inside the power equipment, and transmit the first temperature distribution data to the data fusion unit; the second temperature sensor is used to monitor second temperature distribution data on the surface of the power equipment, and transmit the second temperature distribution data to the data fusion unit; the data fusion unit is used to fuse the first temperature distribution data and the second temperature distribution data based on a data fusion algorithm to obtain the temperature distribution on the surface and inside of the power equipment after eliminating the temperature measurement error.

[0016] In one possible implementation, the environmental simulation system includes a temperature control module, a humidity control module and an ultraviolet radiation unit; simulating the external environmental conditions of the power equipment in actual operation, including: simulating the temperature and humidity conditions of the power equipment in actual operation through the linkage between the temperature control module and the humidity control module; adjusting the wavelength and irradiation intensity of the ultraviolet radiation through the ultraviolet radiation unit to simulate the aging effect of outdoor light.

[0017] In a possible implementation, the power control system includes a high-frequency inverter and a digital signal processor, and simulates the voltage conditions of the power equipment during actual operation, including: generating a first high-voltage waveform based on the high-frequency inverter; adjusting the switching frequency and duty cycle of the high-frequency inverter based on the digital signal processor to control the high-frequency harmonic components of the output first high-voltage waveform, and obtaining a second high-voltage waveform; superimposing a transient pulse with a fast rising edge on the second high-voltage waveform to obtain a third high-voltage waveform; controlling the output of the third high-voltage waveform.

[0018] In a possible implementation, based on the temperature distribution and discharge parameters, the correlation between the partial discharge situation and temperature rise of the power equipment is determined, including: inputting the temperature distribution and discharge parameters into a pre-trained temperature rise prediction model; predicting the temperature rise data corresponding to the partial discharge situation of the power equipment based on the temperature rise prediction model; and determining the correlation between the partial discharge situation and temperature rise of the power equipment based on the temperature rise data.

[0019] In a possible implementation, the discharge detection system includes a high-frequency current sensor, an ultraviolet imager, an acoustic emission sensor, and a discharge parameter analysis unit, and detects the partial discharge situation during the simulated operation of the power equipment under voltage conditions, electric fields, and external environmental conditions to obtain discharge parameters, including: detecting the partial discharge pulse current through the high-frequency current sensor to obtain current monitoring data, and transmitting the current monitoring data to the discharge parameter analysis unit; detecting corona discharge through the ultraviolet imager to obtain ultraviolet radiation data of the discharge area, and transmitting the ultraviolet radiation data to the discharge parameter analysis unit; positioning the discharge point through the acoustic emission sensor to obtain acoustic signal monitoring data, and transmitting the acoustic signal monitoring data to the discharge parameter analysis unit; and analyzing the current monitoring data, ultraviolet radiation data, and acoustic signal monitoring data through the discharge parameter analysis unit to obtain discharge parameters, where the discharge parameters include discharge energy, discharge frequency, and discharge location.

[0020] In a possible implementation, the processing system is further configured to receive and store multi-source data from the high-frequency current sensor, ultraviolet imager, acoustic emission sensor, electric field sensor, and environmental simulation system, display the three-dimensional temperature field distribution, the characteristics of partial discharge signals, and the change trends of external environmental conditions; and output an analysis report characterizing the correlation between the partial discharge situation and temperature rise of the power equipment.

[0021] The temperature rise test system provided by this application includes: a power control system, an electric field regulation system, an environment simulation system, a discharge detection system, a three-dimensional temperature field monitoring system, and a processing system; the power control system, the electric field regulation system, the environment simulation system, the discharge detection system, and the three-dimensional temperature field monitoring system are all connected to the processing system; among them, the power control system is used to simulate the voltage of electrical equipment during actual operation; the electric field regulation system is used to simulate the unevenly distributed electric field inside electrical equipment; the environment simulation system is used to simulate the external environmental conditions of electrical equipment during actual operation; the discharge detection system is used to detect the partial discharge situation during the simulated operation of electrical equipment under voltage, electric field, and external environmental conditions, obtain discharge parameters, and transmit the discharge parameters to the processing system; the three-dimensional temperature field monitoring system is used to perform penetrative temperature field monitoring on electrical equipment, obtain the temperature distribution on the surface and inside of the electrical equipment, and transmit the temperature distribution to the processing system; the processing system is used to determine the correlation between the partial discharge situation and the temperature rise of electrical equipment based on the temperature distribution and the discharge parameters. Through the coordinated action of multiple systems such as the power control system, the electric field regulation system, and the environment simulation system, this application can comprehensively simulate the influence of various external environmental factors and internal electrical parameters on the heating of electrical equipment. This multi-factor coordinated control ability makes the test results more comprehensive and accurate, can more realistically reflect the heating behavior of electrical equipment under actual working conditions, thereby effectively improving the accuracy of temperature rise simulation; in addition, it also helps to deeply understand the root cause of voltage-induced thermal faults, reveal the specific influence of electric field distribution and partial discharge on the temperature rise of electrical equipment and electrical equipment faults, and thus provide a scientific basis for the operation, maintenance, and repair of electrical equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The drawings herein are incorporated into the specification and form a part of this specification, showing embodiments consistent with this application, and are used together with the specification to explain the principles of this application.

[0023] Figure 1 FIG. is a schematic structural diagram of the temperature rise test system provided by an exemplary embodiment of this application;

[0024] Figure 2 FIG. is a schematic diagram of a transformer provided by an exemplary embodiment of this application;

[0025] Figure 3 FIG. is a schematic diagram of an insulator provided by an exemplary embodiment of this application;

[0026] Figure 4 FIG. is a schematic diagram of a capacitor provided by an exemplary embodiment of this application;

[0027] Figure 5 FIG. is a schematic layout diagram of the environmental chamber of the environment simulation system provided by an exemplary embodiment of this application;

[0028] Figure 6 Schematic diagram of physical connection of the temperature rise test system provided by the exemplary embodiment of the present application;

[0029] Figure 7 Schematic diagram of system framework connection of the temperature rise test system provided by the exemplary embodiment of the present application;

[0030] Figure 8 Schematic diagram of sensor arrangement of the three-dimensional temperature field monitoring system provided by the exemplary embodiment of the present application (taking insulators as an example).

[0031] Through the above-mentioned drawings, specific embodiments of the present application have been shown, and more detailed descriptions will be provided later. These drawings and textual descriptions are not intended to limit the scope of the concept of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. Detailed implementation manners

[0032] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0033] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects and do not necessarily need to describe a specific order or sequence. It should be understood that such used data can be interchanged under appropriate circumstances so that the embodiments of the present application described here can be implemented in an order other than those illustrated or described here. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, system, product, or device including a series of steps or units does not necessarily have to be limited to those clearly listed steps or units, but may include other steps or units not clearly listed or inherent to these processes, products, or devices.

[0034] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant laws, regulations, and standards, and corresponding operation entrances are provided for the user to select authorization or rejection.

[0035] In the related art, since most current temperature rise test systems mainly focus on the influence of single factors such as voltage amplitude, frequency, or temperature on the heating of power equipment, and fail to comprehensively consider the interaction of multiple factors. For example, when factors such as voltage amplitude, frequency fluctuation, external temperature, and humidity act simultaneously, the heating situation of power equipment will be significantly different. In addition, the existing temperature rise test systems have obvious deficiencies in aspects such as temperature field measurement accuracy, multivariable coordinated control, and dynamic feedback regulation, and it is difficult to comprehensively simulate the complex environment under actual working conditions. Therefore, there is a problem of low accuracy in temperature rise simulation.

[0036] To solve the above problems, the embodiments of the present application provide a temperature rise test solution. By integrating high-frequency high-voltage power supply control, non-uniform electric field regulation, composite environment simulation, and penetrative temperature field monitoring, etc., an integrated multivariable coordinated control test platform is designed. Through the coordinated operation of multiple subsystems, it more realistically simulates the complex working conditions of power equipment during actual operation, thereby effectively improving the accuracy of temperature rise simulation.

[0037] The technical solution of the present application and how the technical solution of the present application solves the above technical problems will be described in detail below with specific embodiments. These specific embodiments below can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the drawings.

[0038] Figure 1 FIG. is a schematic structural diagram of a temperature rise test system provided for an exemplary embodiment of the present application. As Figure 1 shown, the temperature rise test system 10 includes: a power supply control system 11, an electric field regulation system 12, an environment simulation system 13, a discharge detection system 14, a three-dimensional temperature field monitoring system 15, and a processing system 16; the power supply control system 11, the electric field regulation system 12, the environment simulation system 13, the discharge detection system 14, and the three-dimensional temperature field monitoring system 15 are all connected to the processing system 16; wherein:

[0039] The power supply control system 11 is used to simulate the voltage of the power equipment during actual operation.

[0040] Exemplarily, the power supply control system 11 is used to provide a precisely controllable high-voltage power supply to simulate the voltage conditions of power equipment during actual operation. For example, it can support high-frequency harmonics and complex waveform output, and effectively suppress leakage current. Due to the above characteristics, it can simulate the complex voltage waveforms of power equipment during actual operation in the voltage-induced heating test, ensuring that the test conditions are consistent with the actual working conditions, thus guaranteeing the accuracy of the test. Correspondingly, the power supply control system 11 adopts a high-frequency inverter circuit such as a SiCMOSFET device, combined with a voltage ripple self-compensation algorithm, and can control the ripple coefficient to be, for example, below 0.2%. Exemplarily, the relevant voltage parameters of the power supply control system 11 are as follows: the output voltage is 0 - 50 kV (continuously adjustable); the output frequency is 50 Hz - 10 kHz; the waveform types include but are not limited to sine wave, square wave, triangular wave, etc.; the total harmonic distortion (THD) range is, for example, adjustable from 0.1% to 5%; the voltage regulation accuracy is, for example, ±0.5%; the dynamic response time is less than or equal to, for example, 10 ms. Through the above voltage parameters, it is ensured that the power supply control system 11 can simulate the voltage fluctuations, harmonic interference, and transient overvoltage of power equipment during actual operation, thus providing reliable voltage conditions for the temperature rise test.

[0041] Among them, the power equipment includes but is not limited to voltage-induced heating type equipment such as transformers, capacitors, or insulators, etc. Exemplarily, Figure 2 This is a schematic diagram of a transformer provided by an exemplary embodiment of the present application. Figure 3 This is a schematic diagram of an insulator provided by an exemplary embodiment of the present application. Figure 4 This is a schematic diagram of a capacitor provided by an exemplary embodiment of the present application.

[0042] It can be understood that the above relevant voltage parameters of the power supply control system 11 are only an example. In actual applications, they can be set according to the application scenario and test requirements, and the relevant voltage parameters of the power supply control system 11 are not limited herein.

[0043] The electric field regulation system 12 is used to simulate the non-uniformly distributed electric field inside the power equipment.

[0044] Exemplarily, the electric field regulation system 12 adopts an adjustable electrode design. For example, the electrode spacing can be adjusted within the range of 10 - 500 mm, and the adjustment accuracy is ±0.1 mm; the supported electrode shapes include but are not limited to various configurations such as needle-plate, ball-plate, and non-uniform gap, etc., to meet different test requirements; its filling medium can adopt a liquid or gas with a controllable dielectric constant, and the medium temperature range is, for example, from 0°C to 40°C; the electric field measurement can adopt a high-precision electric field sensor with a measurement range of 0 - 50 kV / cm and a measurement accuracy of ±1%; further, based on the acquisition data of the sensor, a cloud map of the electric field distribution can be generated to provide intuitive electric field distribution information.

[0045] An environmental simulation system 13 is used to simulate the external environmental conditions of power equipment during actual operation.

[0046] Correspondingly, through the environmental simulation system 13, various environmental conditions that power equipment may encounter during actual operation are reproduced, so as to more comprehensively evaluate the long-term operation reliability of power equipment. Specifically, the environmental simulation system 13 includes an environmental chamber that integrates various environmental control functions, such as a temperature control range of 0°C to 50°C, a humidity control range of 10% to 98% RH, a pressure control range of 90 kPa to 110 kPa, a wind speed control range of 0 to 10 m / s, and an adjustable ultraviolet radiation intensity range of 0 to 1000 W / m 2 etc. By comprehensively simulating temperature, humidity, pressure, wind speed, and ultraviolet radiation through the environmental simulation system 13, the external environmental conditions of power equipment during actual operation can be accurately simulated.

[0047] A discharge detection system 14 is used to detect partial discharge conditions during the simulated operation of power equipment under voltage, electric field, and external environmental conditions, obtain discharge parameters, and transmit the discharge parameters to the processing system.

[0048] Exemplarily, the discharge detection system 14 captures the characteristic parameters of discharge signals through various sensing technologies such as ultrasonic, radio frequency, and optical detection, and monitors the partial discharge conditions of the equipment under different conditions. Among them, the characteristic parameters include but are not limited to discharge amplitude, frequency, and duration, etc.; correspondingly, in order to ensure the accuracy and reliability of detection, the discharge detection system 14 adopts signal filtering and noise suppression technologies to eliminate the influence of environmental interference on the detection results, so as to accurately extract discharge parameters; and transmits the extracted discharge parameters to the processing system through a data interface.

[0049] A three-dimensional temperature field monitoring system 15 is used to perform penetrative temperature field monitoring on power equipment, obtain the temperature distribution on the surface and inside of the power equipment, and transmit the temperature distribution to the processing system.

[0050] Exemplarily, through the deployed high-precision sensors, the temperature distribution on the surface and inside of the power equipment is captured, for example, focusing on the temperature rise at the interface between the insulating material and the metal electrode. By accurately measuring the temperature distribution on the surface and inside of the power equipment, especially the temperature rise at the interface between the insulating material and the metal electrode, it helps to analyze the generation and conduction process of heat, and provides data support for evaluating the heat dissipation performance of the power equipment and the thermal stability of the insulating material.

[0051] A processing system 16 is used to determine the correlation between the partial discharge condition and the temperature rise of the power equipment based on the temperature distribution and discharge parameters.

[0052] In some embodiments, based on the temperature distribution and discharge parameters, determining the correlation between the partial discharge condition and temperature rise of the power equipment includes: inputting the temperature distribution and discharge parameters into a pre-trained temperature rise prediction model; predicting the temperature rise data corresponding to the partial discharge condition of the power equipment based on the temperature rise prediction model; and determining the correlation between the partial discharge condition and temperature rise of the power equipment based on the temperature rise data.

[0053] Exemplarily, the temperature rise prediction model is trained based on the following method: based on the principle of energy conservation and the heat conduction equation, combined with test data, constructing a mathematical model of partial discharge energy and temperature rise, that is, the temperature rise prediction model; using machine learning algorithms to optimize the model parameters of the temperature rise prediction model to improve the prediction accuracy of the model; and verifying the temperature rise prediction model through a large number of tests to ensure its accuracy. By training and verifying the temperature rise prediction model, a trained temperature rise prediction model is obtained.

[0054] Correspondingly, input the temperature distribution transmitted by the three-dimensional temperature field monitoring system 15 and the discharge parameters transmitted by the discharge detection system 14 into the trained temperature rise prediction model; predict the temperature rise data corresponding to the partial discharge condition of the power equipment based on the temperature rise prediction model; further, based on the temperature rise data, establish a discharge energy-temperature rise curve, and analyze the specific impact of discharge energy on the temperature rise of the insulating material through the discharge energy-temperature rise curve, to help judge the thermal performance and insulation state of the power equipment under different operating conditions, so as to determine the correlation between the partial discharge condition and temperature rise of the power equipment.

[0055] The temperature rise test system provided by the embodiments of the present application can comprehensively simulate the influence of various external environmental factors and internal electrical parameters on the heat generation of power equipment through the coordinated action of multiple systems such as the power control system, the electric field regulation system, and the environment simulation system. This multi-factor coordinated control ability makes the test results more comprehensive and accurate, and can more realistically reflect the heat generation behavior of power equipment under actual working conditions, thus effectively improving the accuracy of temperature rise simulation; in addition, it also helps to deeply understand the root cause of voltage-induced thermal faults, reveal the specific influence of electric field distribution and partial discharge on the temperature rise of power equipment and power equipment faults, and further provide a scientific basis for the operation, maintenance, and repair of power equipment.

[0056] In some embodiments, the processing system is further configured to: dynamically adjust the outputs of the power control system, the electric field regulation system, and the environment simulation system based on the temperature distribution and discharge parameters to adjust the temperature rise test conditions of the power equipment.

[0057] Exemplarily, based on the temperature distribution and discharge parameters, the processing system identifies the current thermal state and discharge condition of the power equipment, and combines the real-time monitoring data to evaluate whether there is a risk of overheating or overvoltage in the power equipment; once a potential safety risk is detected, the processing system immediately triggers an intelligent feedback mechanism to ensure the safety of the power equipment and the reliability of the test. Specifically, according to the analysis results, the processing system dynamically adjusts the voltage output of the power control system to avoid overvoltage; adjusts the electric field intensity and distribution of the electric field regulation system to ensure that the electric field conditions are within the safe range; adjusts the parameters of the environmental simulation system, such as temperature, humidity, and air pressure, etc., to optimize the test environment and prevent the power equipment from overheating; by continuously monitoring various parameters during the test process, it can be ensured that all adjustments are carried out within the safe range; through the intelligent feedback and safety protection mechanism, the temperature rise test system can automatically take measures, such as reducing the voltage or pausing the test, in case of anomalies, thus effectively ensuring the safety of the power equipment and the test personnel.

[0058] In the embodiments of the present application, through real-time monitoring and dynamic adjustment, rapid response is made when anomalies are detected, which can effectively prevent overheating and overvoltage situations, improve the reliability of the temperature rise test, reduce the risks of equipment damage and test interruption, and at the same time ensure the safety of the power equipment and the test personnel; in addition, through the dynamic adjustment of power supply, electric field, and environmental parameters, the processing system can automatically optimize the test conditions without affecting safety, reducing manual intervention, which has a positive significance for improving test efficiency and accuracy.

[0059] Considering that the aging of insulating materials is one of the main reasons for overheating failures of power equipment, therefore, in some embodiments, the temperature rise test system further includes an insulating material aging state monitoring system; the insulating material aging state monitoring system is used to monitor the aging state of the insulating materials of the power equipment under the combined action of voltage, electric field, and external environmental conditions, and transmit the aging state to the processing system; the processing system is further used to predict the life of the insulating materials based on the aging state.

[0060] In some embodiments, the insulating material aging state monitoring system includes: a dielectric property test unit, a chemical structure analysis unit, and an aging state evaluation unit; wherein, the dielectric property test unit is used to monitor in real time the changes in the dielectric properties of the insulating materials of the power equipment under the combined action of voltage, electric field, and external environmental conditions, and the changes in dielectric properties include dielectric loss angle measurement data and partial discharge inception voltage detection data; the chemical structure analysis unit is used to monitor in real time the changes in the chemical structure of the insulating materials through a Fourier transform infrared spectroscopy sampling port to quantify the degradation of material properties; the aging state evaluation unit is used to evaluate the aging state of the insulating materials based on the monitoring data of the dielectric property test unit and the chemical structure analysis unit.

[0061] Exemplarily, the dielectric property test unit may specifically include a high-precision sensor, which can detect the dielectric loss angle of the insulating material and the partial discharge inception voltage (PDIV) of the insulating material under the action of an electric field in real time. For example, when it is monitored that the dielectric loss angle (tanδ) rises from 0.5% to 1.2%, it indicates that the dielectric loss angle exceeds the normal range; when it is monitored that the PDIV drops from 25 kV to 18 kV, it indicates that the electric strength resistance of the insulating material decreases. At the same time, the chemical structure analysis unit monitors the chemical structure change of the insulating material in real time through the Fourier Transform Infrared Spectroscopy (FTIR) sampling port to quantify the performance degradation of the insulating material. Exemplarily, through FTIR spectrum analysis, the change of chemical bonds in the insulating material can be detected, such as polymer chain breakage and the generation of oxidation products. For example, when it is detected that the carbonyl content in the insulating oil increases, it indicates that oxidation aging is occurring. Record these chemical structure change data and transmit them to the aging state evaluation unit; further, the aging state evaluation unit evaluates the aging state of the insulating material based on the dielectric property data (such as tanδ and PDIV) and the chemical structure data (such as the FTIR spectrum analysis result). Specifically, a machine learning algorithm can be used to combine historical data and current monitoring data to predict the remaining life of the insulating material and generate an aging state report. Among them, the aging state report contains relevant maintenance suggestions. For example, by integrating the dielectric property data and the chemical structure data, it is shown in the aging state report that the insulating material of a certain power equipment has entered the moderate aging stage, the predicted remaining life is 6 months, and it is recommended to replace the insulating oil and conduct a comprehensive overhaul during this period, etc.

[0062] In the embodiment of the present application, through high-precision dielectric property testing and chemical structure analysis, the aging degree of the insulating material under the combined action of an electric field, temperature, and environment can be evaluated in real time, making the quantification of the performance degradation of the insulating material more accurate, thereby providing data support for the life prediction and maintenance of the insulating material. At the same time, it also helps researchers understand the heat generation mechanism of the insulating material in the aging state.

[0063] In some embodiments, the three-dimensional temperature field monitoring system includes a first temperature sensor deployed inside the power equipment, a second temperature sensor deployed outside the power equipment, and a data fusion unit; wherein the first temperature sensor is used to monitor first temperature distribution data inside the power equipment, and transmit the first temperature distribution data to the data fusion unit; the second temperature sensor is used to monitor second temperature distribution data on the surface of the power equipment, and transmit the second temperature distribution data to the data fusion unit; the data fusion unit is used to fuse the first temperature distribution data and the second temperature distribution data based on a data fusion algorithm to obtain the temperature distribution on the surface and inside of the power equipment after eliminating the temperature measurement error.

[0064] For example, the first temperature sensor is an embedded thermocouple, and the second temperature sensor is a distributed optical fiber sensor. Accordingly, by pre-drilling holes inside the power equipment (such as insulating materials), and arranging embedded thermocouples with a high temperature resistance of up to 300°C in the electric field concentration area, the temperature distribution inside the power equipment is monitored in real time. The embedded thermocouples can also be arranged in an array to improve the spatial resolution of the temperature measurement inside the equipment; at the same time, a distributed optical fiber sensor with a spatial resolution of 1 cm is pre-buried on the surface of power equipment such as insulators, and the temperature sensitivity of optical fiber is used to capture the external temperature changes of the material in real time, and accurately locate the temperature abnormality points, and combine with the infrared thermal imaging module to synchronously monitor the surface temperature distribution of the material, and assist in establishing the mapping relationship between the surface and internal temperature of the material; further, the data fusion unit eliminates the temperature measurement error caused by electromagnetic interference based on a data fusion algorithm such as a multi-source data fusion algorithm of a Kalman filter, thereby obtaining the temperature distribution on the surface and inside of the power equipment after the temperature measurement error is eliminated.

[0065] The embodiment of the present application can provide more comprehensive temperature distribution data through the coordinated work of internal and external sensors, and eliminate temperature measurement errors through the data fusion unit using a data fusion algorithm, thereby effectively ensuring high-precision measurement of the temperature rise inside the insulating material; in addition, through precise temperature monitoring, insulation failure and equipment damage caused by temperature rise can be effectively prevented, thereby improving the overall safety of the power equipment.

[0066] In some embodiments, the environmental simulation system includes a temperature control module, a humidity control module and an ultraviolet radiation unit; simulating the external environmental conditions of the power equipment in actual operation, including: simulating the temperature conditions and humidity conditions of the power equipment in actual operation through the linkage of the temperature control module and the humidity control module; adjusting the ultraviolet radiation wavelength and irradiation intensity through the ultraviolet radiation unit to simulate the outdoor light aging effect.

[0067] Exemplarily, through the temperature control module, humidity control module, ultraviolet radiation unit and multi-parameter collaborative control, the coupled aging simulation of multiple factors such as electric field, temperature, humidity and ultraviolet radiation is realized. Specifically, based on the electric field regulation system, an uneven electric field is applied to the power equipment under test. Through the linkage of the temperature control module and the humidity control module, an alternating humid and hot environment with a wide temperature range of 0°C to 50°C and a relative humidity of 10% to 95% is simulated. At the same time, the ultraviolet radiation unit is integrated, and the ultraviolet wavelength (such as 280 - 400 nm) and irradiation intensity (such as 0 - 1000 W / m 2 ) are precisely adjusted by the ultraviolet radiation unit to simulate the outdoor light aging effect. Exemplarily, Figure 5 is the layout schematic diagram of the environmental chamber of the environmental simulation system provided by the exemplary embodiment of the present application. As Figure 5 shown, the environmental chamber is internally configured with a refrigerator, a heater, a humidifier, a dehumidifier and a pressure valve, and is provided with an air outlet, an air inlet and a cable port, etc. For example, the environmental chamber integrates the precise control functions of temperature (0°C to 50°C), humidity (10% to 98% RH), air pressure (90 kPa to 110 kPa) and wind speed (0 to 10 m / s), and at the same time combines with the ultraviolet aging unit to achieve the precise regulation of the ultraviolet radiation intensity (0 - 1000 W / m 2 ).

[0068] In the embodiment of the present application, through the collaborative work of the temperature control module, humidity control module and ultraviolet radiation unit, the complex external environmental conditions of the power equipment during actual operation can be comprehensively simulated. This multi-factor coupling simulation method can more realistically reflect the environmental stress faced by the power equipment during actual operation, which has positive significance for studying the influence of environmental factors on equipment heating and insulation aging, and further provides data support for the fault prediction and prevention of power equipment.

[0069] In some embodiments, the power supply control system includes a high-frequency inverter and a digital signal processor, and simulates the voltage conditions of the power equipment during actual operation, including: generating a first high-voltage waveform based on the high-frequency inverter; adjusting the switching frequency and duty cycle of the high-frequency inverter based on the digital signal processor to control the high-frequency harmonic components of the output first high-voltage waveform to obtain a second high-voltage waveform; superimposing a transient pulse with a fast rising edge on the second high-voltage waveform to obtain a third high-voltage waveform; controlling the output of the third high-voltage waveform.

[0070] Exemplarily, by adopting a high-frequency inverter, a digital signal processor, and a control algorithm, the precise simulation of high-frequency harmonics and transient overvoltage is achieved. Specifically, a high-frequency inverter is used to generate a basic high-voltage waveform, and the switching frequency and duty cycle of the high-frequency inverter are adjusted in real time by the digital signal processor to precisely control the high-frequency harmonic components of the output waveform; in combination with a transient overvoltage simulation circuit, a transient pulse with a fast rising edge is superimposed on the basic waveform to simulate the transient overvoltage phenomenon in the power system; further, the output waveform is monitored in real time through a closed-loop feedback system, and the parameters are dynamically adjusted using the control algorithm, thereby effectively ensuring the high precision and stability of the waveform.

[0071] In the embodiments of the present application, through the high-voltage complex waveform generation technology, the complex voltage waveform in actual operation is simulated to ensure that the test conditions are consistent with the actual working conditions, further improving the accuracy of the temperature rise test. At the same time, it also fills the gap that the traditional temperature rise test system cannot accurately simulate complex waveforms, providing a more realistic working condition simulation environment for the testing and research of power equipment.

[0072] In some embodiments, the discharge detection system includes a high-frequency current sensor, an ultraviolet imager, an acoustic emission sensor, and a discharge parameter analysis unit to detect the partial discharge situation during the simulated operation of power equipment under voltage conditions, electric fields, and external environmental conditions, and obtain discharge parameters, including: detecting the partial discharge pulse current through the high-frequency current sensor to obtain current monitoring data, and transmitting the current monitoring data to the discharge parameter analysis unit; detecting corona discharge through the ultraviolet imager to obtain ultraviolet radiation data of the discharge area, and transmitting the ultraviolet radiation data to the discharge parameter analysis unit; positioning the discharge point through the acoustic emission sensor to obtain acoustic signal monitoring data, and transmitting the acoustic signal monitoring data to the discharge parameter analysis unit; analyzing the current monitoring data, ultraviolet radiation data, and acoustic signal monitoring data through the discharge parameter analysis unit to obtain discharge parameters, and the discharge parameters include discharge energy, discharge frequency, and discharge position.

[0073] Exemplarily, a high-frequency current sensor with a bandwidth of, for example, 100 kHz - 30 MHz is used to capture high-frequency partial discharge signals, detect partial discharge pulse currents, generate current monitoring data, and transmit the current monitoring data to the discharge parameter analysis unit; a UV imager with a spatial resolution of, for example, 0.1 mm is used to detect the corona discharge phenomenon on the surface of the power equipment, generate UV radiation data based on the UV radiation in the corona discharge area, and transmit the UV radiation data to the discharge parameter analysis unit; an acoustic emission sensor installed on or near the surface of the power equipment with a frequency range of, for example, 20 kHz - 1 MHz is used to capture the acoustic wave signals generated by the discharge, locate the discharge point through the acoustic wave signals, generate acoustic wave signal monitoring data, and transmit the acoustic wave signal monitoring data to the discharge parameter analysis unit; correspondingly, the discharge parameter analysis unit comprehensively analyzes the current monitoring data, UV radiation data, and acoustic wave signal monitoring data, and extracts discharge parameters including discharge energy, discharge frequency, discharge phase distribution, and discharge location, etc.

[0074] In the embodiment of the present application, by integrating a high-frequency current sensor, a UV imager, and an acoustic emission sensor, the discharge detection system can capture partial discharge phenomena in multiple dimensions, significantly improving the accuracy and reliability of discharge detection.

[0075] In some embodiments, the processing system is further configured to receive and store multi-source data from the high-frequency current sensor, UV imager, acoustic emission sensor, electric field sensor, and environmental simulation system, display the three-dimensional temperature field distribution, partial discharge signal characteristics, and the change trends of external environmental conditions; and output an analysis report characterizing the correlation between the partial discharge situation and temperature rise of the power equipment.

[0076] Exemplarily, the processing system receives multi-source data from the high-frequency current sensor, UV imager, acoustic emission sensor, electric field sensor, and environmental simulation system, including environmental parameters such as partial discharge signals, electric field strength, temperature, humidity, and UV radiation; through the high-capacity storage module integrated inside the processing system, a large amount of real-time monitoring data is safely stored to ensure the integrity and traceability of the data; and through the human-machine interface, the three-dimensional temperature field distribution inside and on the surface of the power equipment, partial discharge signal characteristics, and the change trends of external environmental conditions are displayed; and relevant parameters such as external environmental conditions, voltage, and electric field are set, and an analysis report characterizing the correlation between the partial discharge situation and temperature rise of the power equipment is output.

[0077] Exemplarily, Figure 6 is a schematic diagram of the physical connection of the temperature rise test system provided by the exemplary embodiment of the present application. As Figure 6As shown, the processing system is connected to a power control system, an electric field regulation and discharge detection system (i.e., an electric field regulation system and a discharge detection system), an environmental simulation system, a three-dimensional temperature field monitoring system, and an insulation material aging state monitoring system, and is connected one by one to a high-frequency current sensor, an ultraviolet imager, and an acoustic emission sensor. Distributed optical fibers and embedded micro-thermocouple arrays are respectively deployed outside and inside the power equipment.

[0078] In some embodiments, the processing system includes a data acquisition and analysis system and an intelligent feedback and safety protection system. Among them, the data acquisition and analysis system is used to analyze the correlation between the partial discharge situation and the temperature rise of the power equipment based on the acquired data, and the intelligent feedback and safety protection system is used to dynamically adjust the outputs of the power control system, the electric field regulation system, and the environmental simulation system based on the analysis results to adjust the temperature rise test conditions of the power equipment. For example, the intelligent feedback and safety protection system adjusts the temperature or voltage according to the real-time monitoring data to avoid overheating or overvoltage of the power equipment, thereby ensuring the safety and reliability of the test process.

[0079] Exemplarily, Figure 7 This is a schematic diagram of the system framework connection of the temperature rise test system provided by an exemplary embodiment of the present application. As Figure 7 shown, the processing system is connected to a power control system, an electric field regulation and discharge detection system (i.e., an electric field regulation system and a discharge detection system), an environmental simulation system, a three-dimensional temperature field monitoring system, and an insulation material aging state monitoring system. Correspondingly, through the coordinated work of the power control system, the electric field regulation and discharge detection system (i.e., the electric field regulation system and the discharge detection system), the environmental simulation system, the three-dimensional temperature field monitoring system, and the insulation material aging state monitoring system, the complex external environmental conditions of the power equipment during actual operation are comprehensively simulated. Through this multi-factor coupling simulation method, the environmental stress faced by the power equipment during actual operation is more realistically reflected, thereby effectively improving the accuracy of temperature rise simulation; in addition, it also helps to deeply understand the root cause of voltage-induced thermal faults, reveal the specific effects of electric field distribution and partial discharge on the temperature rise of power equipment and power equipment faults, and thus provide a scientific basis for the operation, maintenance, and repair of power equipment.

[0080] In summary, the present application has at least the following advantages:

[0081] 1. Through the collaborative action of multiple systems such as the power control system, electric field regulation system, and environmental simulation system, it is possible to comprehensively simulate the influence of various external environmental factors and internal electrical parameters on the heat generation of power equipment. This multi-factor collaborative control ability makes the test results more comprehensive and accurate, can more realistically reflect the heat generation behavior of power equipment under actual working conditions, thus effectively improving the accuracy of temperature rise simulation; in addition, it also helps to deeply understand the root causes of voltage-induced thermal faults, reveals the specific impacts of electric field distribution and partial discharge on the temperature rise of power equipment and power equipment failures, and further provides a scientific basis for the operation, maintenance, and repair of power equipment.

[0082] 2. Through real-time monitoring and dynamic adjustment, it can quickly respond when abnormalities are detected, effectively prevent overheating and overvoltage situations, improve the reliability of the temperature rise test, reduce the risks of equipment damage and test interruption, and at the same time ensure the safety of power equipment and test personnel; in addition, through the dynamic adjustment of power supply, electric field, and environmental parameters, the processing system can automatically optimize the test conditions without affecting safety, reduce manual intervention, and has a positive significance for improving the efficiency and accuracy of the test.

[0083] 3. Through high-precision dielectric property testing and chemical structure analysis, it is possible to evaluate the aging degree of insulating materials under the combined action of electric field, temperature, and environment in real time, making the quantification of the performance degradation of insulating materials more accurate, thus providing data support for the life prediction and maintenance of insulating materials. At the same time, it also helps researchers understand the heat generation mechanism of insulating materials in the aging state.

[0084] 4. Through the collaborative work of internal and external sensors, it is possible to provide more comprehensive temperature distribution data, and the data fusion unit uses data fusion algorithms to eliminate temperature measurement errors, effectively ensuring the high-precision measurement of the internal temperature rise of insulating materials; in addition, through precise temperature monitoring, it can effectively prevent insulation failure and equipment damage caused by temperature rise, thereby improving the overall safety of power equipment.

[0085] The above embodiments introduce the implementation methods of the temperature rise test system. Next, the application of the temperature rise test system will be introduced through specific examples.

[0086] Exemplarily, the temperature rise test specifically includes the following steps:

[0087] 1. Preparation before the test;

[0088] 1.1. Equipment Inspection and Calibration: Use a standard voltage divider and an oscilloscope with a bandwidth greater than or equal to, for example, 100 MHz to measure the output voltage waveform, ensuring that the ripple coefficient is less than or equal to, for example, 0.2%; under no-load conditions, apply a rated voltage of, for example, 50 kV to detect whether the leakage current is less than or equal to, for example, 10 μA; use a laser rangefinder with an accuracy of, for example, ±0.01 mm to verify the set value of the electrode spacing; if a liquid medium is used, filter to remove impurities; if a gas medium is used, detect whether the purity is greater than or equal to, for example, 99.9%; place the optical fiber in a constant temperature water bath at, for example, 25°C ± 0.1°C to calibrate the temperature-optical frequency shift relationship curve; insert a K-type micro-thermocouple into a standard temperature control furnace at, for example, 0 - 300°C, and the comparison reading error should be less than or equal to, for example, ±0.5°C; use a blackbody radiation source to calibrate the temperature-gray scale mapping relationship to calibrate the infrared thermal imager; arrange a temperature measurement grid of, for example, 9 points in the environmental chamber to ensure that the temperature difference is less than or equal to, for example, ±1°C; set the target humidity in the environmental chamber to, for example, 50% RH, and the continuous monitoring fluctuation range for 1 hour should be less than or equal to, for example, ±2% RH; use an ultraviolet irradiometer to measure the irradiation intensity and adjust the lamp group power to the target value of, for example, 500 W / m 2 。

[0089] 1.2. Specimen Installation and Pretreatment: Install specimens such as insulators or capacitors on the insulating bracket, ensuring that the coaxiality deviation from the high-voltage electrode is less than or equal to, for example, 1 mm, and wipe the surface with anhydrous ethanol to remove fingerprints or contaminants; if it is necessary to simulate the aging state, place the specimen in a UV aging chamber with a wavelength of, for example, 340 nm and an irradiation intensity of 0.5 W / m 2 for pre-aging for, for example, 48 hours.

[0090] 2. Startup and Self-Inspection of the Temperature Rise Test System;

[0091] 2.1. Module Initialization: Turn on the total control software, start each module in sequence. Set the initial voltage of the high-frequency high-voltage power supply to, for example, 10 kV, the frequency to, for example, 50 Hz, and the waveform to, for example, a sine wave; start the temperature and humidity control of the environmental chamber, heat up to, for example, 25°C and the humidity to, for example, 50% RH according to the preset program; start the high-frequency current sensor with a bandwidth of, for example, 30 MHz and the acoustic emission sensor with a threshold of, for example, 40 dB.

[0092] 2.2. Closed-Loop Self-Inspection Process: First, conduct a power supply stability test, apply a voltage of, for example, 10 kV and continue for, for example, 5 minutes, continuously monitor whether the output voltage fluctuation deviation is less than, for example, ±0.5%; inject, for example, 3rd harmonics to verify whether the total harmonic distortion (THD) is less than or equal to, for example, 0.5%; then conduct an overvoltage fault simulation, manually trigger a voltage overlimit of, for example, 52 kV, and verify whether the intelligent feedback and safety protection system can quickly cut off the output.

[0093] 3. Sensor Deployment and Data Synchronization;

[0094] 3.1 Distributed Optical Fiber Layout: Spirally wind the optical fiber along, for example, the insulator petticoat with a spacing of, for example, 1 cm, and fix it with a high-temperature-resistant glue that can withstand 300 °C to avoid a bending radius less than, for example, 5 cm; connect the optical fiber to a demodulator with a sampling rate of, for example, 1 kHz, and set the spatial resolution to, for example, 1 cm and the temperature resolution to, for example, 0.1 °C.

[0095] 3.2 Thermocouple Embedding: Pre-drill a hole with a diameter of, for example, 0.5 mm inside the test sample, implant a micro-thermocouple with a diameter of, for example, 0.3 mm, seal it with epoxy resin, and arrange a, for example, 3×3 grid along the electric field concentration area such as the electrode edge with a spacing of, for example, 10 mm. Exemplarily, Figure 8 Schematic diagram of the sensor layout of the three-dimensional temperature field monitoring system provided by the exemplary embodiment of the present application (taking the insulator as an example). As Figure 8 shown, the distributed optical fiber is spirally wound along the insulator petticoat, and the embedded thermocouple is embedded.

[0096] 3.3 Multi-source Data Synchronization: Adopt a Global Positioning System (GPS) timing module to unify the clocks of each sensor to ensure that the time synchronization error is less than or equal to, for example, 1 μs; set the data acquisition period in the control software, for example, collect the electric field strength once per second, and collect it 10 times per second in the high-precision mode; continuously collect partial discharges and set the sampling rate to, for example, 100 MS / s; for the temperature data of the distributed optical fiber, for example, 10 points per second, and for the thermocouple, for example, once per second.

[0097] 4. Test Process Execution;

[0098] 4.1 Step-up Voltage Test: 1) The first step, basic condition: Set the environmental conditions to, for example, a temperature of 25 °C, a humidity of 50% RH, and no ultraviolet radiation, and apply a rated voltage of, for example, 35 kV and maintain it for, for example, 30 minutes, and record the steady-state temperature distribution and the partial discharge quantity; 2) The second step, harmonic superposition: Superimpose harmonics with 5% THD (for example, the 3rd, 5th, or 7th harmonic) on the fundamental wave of, for example, 50 Hz, gradually increase the voltage to 45 kV, monitor the influence of the harmonics on the partial discharge inception voltage, and record the discharge phase distribution; 3) The third step, transient overvoltage simulation: Control the inverter through a digital signal processor, superimpose a standard lightning shock wave of, for example, 1.2 / 50 μs on the sine wave with a peak value of, for example, 50 kV, and collect the temperature rise rate and discharge energy during the transient process.

[0099] 4.2. Environmental coupling test: 1) Damp heat cycle test: Set the temperature change rate to, for example, 2 °C / min, and the cycle path to, for example, 25 °C → 40 °C → 25 °C. The humidity synchronously rises from, for example, 50% RH to 90% RH. Each cycle lasts for, for example, 4 hours, and a total of 3 cycles are carried out to monitor the change of the dielectric loss factor tanδ; 2) UV-electricity combined aging: Turn on the UV lamp group, set the wavelength to, for example, 340 nm and the intensity to, for example, 600 W / m 2 , continuously irradiate the surface of the test sample, and at the same time apply an AC voltage of, for example, 30 kV. Collect the surface infrared thermal image every, for example, 30 minutes to observe the development of tracking.

[0100] 5. Discharge-temperature rise correlation modeling;

[0101] 5.1. Data preprocessing: 1) Partial discharge pulse processing: Apply wavelet denoising technology to extract key parameters such as discharge quantity and repetition rate to improve the accuracy of data; 2) Temperature data processing: Adopt the moving average filtering method to smooth the temperature data and eliminate the influence of random fluctuations on the analysis.

[0102] 5.2. Model training: 1) Regression model: Use, for example, the random forest regression model for modeling; 2) Input variables: For example, input variables such as discharge energy W, discharge position coordinates (x, y, z), and ambient temperature T; 3) Output variable: For example, predict the hot spot temperature; 4) Tools and implementation: Use, for example, the Scikit-learn library in the Python environment for model training and verification.

[0103] 6. Test termination;

[0104] Safe shutdown procedure: 1) Voltage reduction step: Gradually reduce the voltage to 0 kV to ensure the safety of the equipment; 2) Equipment shutdown: Turn off the high-frequency inverter and stop all high-voltage operations; 3) Environmental chamber treatment: Cool down the environmental chamber to room temperature according to the preset program and stop the UV radiation; 4) Sensor power-off: Disconnect the power connections of all sensors to ensure the safety of the equipment; 5) Save all unfinished data caches to ensure data integrity and traceability.

[0105] It can be understood that the relevant data and parameter settings in the above test process are only examples, and can be specifically set according to the test requirements. The relevant test conditions and the sequence of test steps are not limited here.

[0106] Finally, it should be noted that those skilled in the art will readily conceive of other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. The present invention is intended to cover any variations, uses, or adaptations of the present invention, which follow the general principles of the present invention and include known common knowledge or conventional technical means in the technical field not disclosed in the present invention. It is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present invention is only limited by the appended claims.

Claims

1. A temperature rise test system, characterized in that: include: A power control system, an electric field regulation system, an environmental simulation system, a discharge detection system, a three-dimensional temperature field monitoring system and a processing system; the power control system, the electric field regulation system, the environmental simulation system, the discharge detection system, and the three-dimensional temperature field monitoring system are all connected to the processing system; wherein: The power control system is used to simulate the voltage of the power equipment in actual operation; The electric field control system is used to simulate the unevenly distributed electric field inside the electric equipment; The environmental simulation system is used to simulate the external environmental conditions of the power equipment during actual operation; The discharge detection system is used to detect the partial discharge of the power equipment during the simulated operation under the voltage, the electric field and the external environment conditions, obtain the discharge parameters, and transmit the discharge parameters to the processing system; The three-dimensional temperature field monitoring system is used to perform penetrating temperature field monitoring on the power equipment, obtain the temperature distribution on the surface and inside of the power equipment, and transmit the temperature distribution to the processing system; The processing system is used to determine the correlation between the partial discharge situation and the temperature rise of the electric equipment based on the temperature distribution and the discharge parameter.

2. The temperature rise test system according to claim 1, characterized in that: The processing system is also used to: Based on the temperature distribution and the discharge parameters, the outputs of the power control system, the electric field regulation system and the environmental simulation system are dynamically adjusted to adjust the temperature rise test conditions of the power equipment.

3. The temperature rise test system according to claim 1 or 2, characterized in that: Also includes: Insulation material aging status monitoring system; The insulation material aging state monitoring system is used to monitor the aging state of the insulation material of the power equipment under the combined effects of the voltage, the electric field and the external environmental conditions, and transmit the aging state to the processing system; The processing system is further used to predict the life of the insulating material based on the aging state.

4. The temperature rise test system according to claim 3, characterized in that: The insulation material aging status monitoring system comprises: a dielectric performance testing unit, a chemical structure analysis unit and an aging status evaluation unit; wherein: A dielectric performance testing unit, used for real-time monitoring of dielectric performance changes of the insulating material of the power equipment under the combined effects of the voltage, the electric field and the external environmental conditions, wherein the dielectric performance changes include dielectric loss angle measurement data and partial discharge inception voltage detection data; A chemical structure analysis unit, used to monitor the chemical structure changes of the insulating material in real time through a Fourier transform infrared spectroscopy sampling port to quantify the material performance degradation; The aging state evaluation unit is used to evaluate the aging state of the insulating material based on the monitoring data of the dielectric property testing unit and the chemical structure analysis unit.

5. The temperature rise test system according to claim 1 or 2, characterized in that: The three-dimensional temperature field monitoring system comprises a first temperature sensor deployed inside the power equipment, a second temperature sensor deployed outside the power equipment, and a data fusion unit; wherein: The first temperature sensor is used to monitor first temperature distribution data inside the power equipment and transmit the first temperature distribution data to the data fusion unit; The second temperature sensor is used to monitor second temperature distribution data on the surface of the power equipment and transmit the second temperature distribution data to the data fusion unit; The data fusion unit is used to fuse the first temperature distribution data and the second temperature distribution data based on a data fusion algorithm to obtain the temperature distribution on the surface and inside of the power equipment after eliminating the temperature measurement error.

6. The temperature rise test system according to claim 1 or 2, characterized in that: The environmental simulation system includes a temperature control module, a humidity control module and an ultraviolet radiation unit; the external environmental conditions of the power equipment in actual operation are simulated, including: The temperature control module is linked with the humidity control module to simulate the temperature and humidity conditions of the power equipment in actual operation; The ultraviolet radiation wavelength and the irradiation intensity are adjusted by the ultraviolet radiation unit to simulate the outdoor light aging effect.

7. The temperature rise test system according to claim 1 or 2, characterized in that: The power control system includes a high-frequency inverter and a digital signal processor, and the voltage condition of the simulated power equipment in actual operation includes: generating a first high voltage waveform based on the high frequency inverter; Based on the digital signal processor, the switching frequency and duty cycle of the high-frequency inverter are adjusted to control the high-frequency harmonic components of the first high-voltage waveform to be output, thereby obtaining a second high-voltage waveform; Superimposing a transient pulse with a fast rising edge on the second high voltage waveform to obtain a third high voltage waveform; Controlling the output of the third high voltage waveform.

8. The temperature rise test system according to claim 1 or 2, characterized in that: The determining, based on the temperature distribution and the discharge parameter, a correlation between the partial discharge condition and the temperature rise of the electric equipment comprises: Inputting the temperature distribution and the discharge parameters into a pre-trained temperature rise prediction model; Based on the temperature rise prediction model, predict the temperature rise data corresponding to the partial discharge of the electric equipment; Based on the temperature rise data, a correlation between the partial discharge condition of the electric equipment and the temperature rise is determined.

9. The temperature rise test system according to claim 1 or 2, characterized in that: The discharge detection system comprises a high-frequency current sensor, an ultraviolet imager, an acoustic emission sensor and a discharge parameter analysis unit. The detection of the partial discharge of the power equipment during the simulated operation under the voltage condition, the electric field and the external environment condition to obtain the discharge parameters includes: Detecting partial discharge pulse current by the high-frequency current sensor to obtain current monitoring data, and transmitting the current monitoring data to the discharge parameter analysis unit; Detecting corona discharge by the ultraviolet imager to obtain ultraviolet radiation data of the discharge area, and transmitting the ultraviolet radiation data to the discharge parameter analysis unit; Locating the discharge point by means of the acoustic emission sensor, obtaining acoustic wave signal monitoring data, and transmitting the acoustic wave signal monitoring data to the discharge parameter analysis unit; The discharge parameter analysis unit analyzes the current monitoring data, the ultraviolet radiation data and the acoustic signal monitoring data to obtain discharge parameters, which include discharge energy, discharge frequency and discharge position.

10. The temperature rise test system according to claim 9, characterized in that: The processing system is also used to receive and store multi-source data from the high-frequency current sensor, the ultraviolet imager, the acoustic emission sensor, the electric field sensor and the environmental simulation system, display the three-dimensional temperature field distribution, partial discharge signal characteristics and the changing trend of external environmental conditions; and output an analysis report characterizing the correlation between the partial discharge situation of the power equipment and the temperature rise.

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