HVset high-voltage partial discharge online monitoring system

Abstract

The invention relates to the technical field of monitoring, in particular to an HVset high-voltage partial discharge on-line monitoring system, comprising: a monitoring unit comprising a partial discharge monitoring module, an environment monitoring module and a preprocessing module, both the partial discharge monitoring module and the environment monitoring module being connected with the preprocessing module; the analysis unit is connected with the monitoring unit and can receive the signal transmitted by the preprocessing module and perform data analysis according to the signal transmitted by the preprocessing module; and the communication management unit is connected with the analysis unit and can perform fault prediction. The system can improve the safety and stability of a power grid, and reduces the operation and maintenance cost.

Description

Technical Field

[0001] The invention relates to the field of monitoring technology, in particular to an HVset high-voltage partial discharge online monitoring system. Background Art

[0002] High-voltage electrical equipment is of great significance to the power system, and its operating status is related to the reliability of the power grid. However, there are currently many difficulties in its monitoring.

[0003] In the existing technology, manual inspections have long cycles, are discontinuous, and are highly subjective. It is difficult to capture instantaneous changes in partial discharge and is easy to miss hidden dangers. Although power outage detection is detailed, it requires interrupting equipment operation, affecting normal power supply, and cannot present actual operating dynamics. On the other hand, during the operation of high-voltage equipment, partial discharge is affected by many factors and is difficult to monitor. It is difficult to fully and accurately grasp a single monitoring technology, weak signals are easily ignored, the impact of environmental factors on equipment is not taken seriously, and insulation aging accelerates the risk of discharge. At the same time, there are defects in data processing and fault prediction, insufficient data fusion, inability to fully evaluate equipment, inaccurate fault predictions, lack of dynamic adjustment, prone to false alarms and missed reports, and unable to provide a reliable basis for operation and maintenance. Summary of the invention

[0004] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0005] In view of the above problems existing in the high-voltage partial discharge online monitoring system, the present invention is proposed.

[0006] Therefore, one of the objects of the present invention is to provide an HVset high-voltage partial discharge online monitoring system, which can improve the safety and stability of the power grid and reduce operation and maintenance costs.

[0007] To solve the above technical problems, the present invention provides the following technical solutions: an HVset high-voltage partial discharge online monitoring system, which includes a monitoring unit, including a partial discharge monitoring module, an environmental monitoring module and a preprocessing module, wherein the partial discharge monitoring module and the environmental monitoring module are both connected to the preprocessing module; an analysis unit, which is connected to the monitoring unit and can receive signals transmitted by the preprocessing module and perform data analysis based on the signals transmitted; and a communication management unit, which is connected to the analysis unit and can perform fault prediction.

[0008] As a preferred solution of the HVset high-voltage partial discharge online monitoring system described in the present invention, the partial discharge monitoring module includes an ultrasonic monitoring sub-module, a geostationary wave monitoring sub-module and an ultra-high frequency monitoring sub-module, and all are connected to the preprocessing module.

[0009] As a preferred solution of the HVset high-voltage partial discharge online monitoring system described in the present invention, the environmental monitoring module includes a temperature detection submodule, a humidity detection submodule and a noise detection submodule, and all are connected to the preprocessing module.

[0010] As a preferred solution of the HVset high-voltage partial discharge online monitoring system described in the present invention, the analysis unit includes a signal conditioning module connected to the preprocessing module, a data fusion module connected to the signal conditioning module, and a status evaluation module connected to the data fusion module.

[0011] As a preferred solution of the HVset high-voltage partial discharge online monitoring system described in the present invention, the communication management unit includes a fault prediction module, a display module connected to the fault prediction module, and an alarm module connected to the fault prediction module.

[0012] As a preferred solution of the HVset high-voltage partial discharge online monitoring system described in the present invention, the alarm module includes a threshold setting submodule and an information transmission submodule; the threshold setting submodule is connected to the fault prediction module, and the information transmission submodule is connected to the display module.

[0013] As a preferred solution of the HVset high-voltage partial discharge online monitoring system described in the present invention, the communication management unit also includes an energy management module.

[0014] As a preferred solution of the HVset high-voltage partial discharge online monitoring system described in the present invention, the energy management module includes a power sub-module and a sensor management sub-module; the power sub-module is respectively connected to the monitoring unit and the analysis unit; the sensor management sub-module is connected to the monitoring unit.

[0015] As a preferred solution of the HVset high-voltage partial discharge online monitoring system described in the present invention, the sensor management submodule is connected to the environmental monitoring module.

[0016] As a preferred solution of the HVset high-voltage partial discharge online monitoring system described in the present invention, wherein: the power submodule is connected to the partial discharge monitoring module and the environmental monitoring module respectively.

[0017] The beneficial effects of the present invention are as follows: through multi-angle collaborative monitoring, integrating three monitoring submodules of ultrasonic wave, ground wave and ultra-high frequency, starting from different physical principles such as acoustics and electromagnetism, the partial discharge signal is captured in all directions, and the accurate monitoring and positioning of partial discharge is realized; through the collaborative work of the environmental monitoring module and the partial discharge monitoring module, the environmental parameters such as temperature, humidity, noise and the partial discharge monitoring data are combined to provide all-round information for equipment status assessment. By integrating the partial discharge monitoring data and environmental parameters, the system can comprehensively evaluate the health status of the equipment, detect the impact of environmental factors on the equipment in advance, and realize the comprehensive control of the equipment operation status, thereby improving the safety and stability of the power grid and reducing the operation and maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0019] in:

[0020] Figure 1 It is a flow chart of an HVset high voltage partial discharge online monitoring system;

[0021] Figure 2 This is a structural diagram of an HVset high-voltage partial discharge online monitoring system. DETAILED DESCRIPTION

[0022] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0023] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0024] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0025] Example 1

[0026] Reference Figure 1, which is the first embodiment of the present invention, and this embodiment provides an HVset high-voltage partial discharge online monitoring system, which builds a high-voltage partial discharge online monitoring system framework. The partial discharge monitoring module and the environmental monitoring module in the monitoring unit collect information and pre-process it to provide a data basis for the follow-up. The analysis unit conducts in-depth analysis and evaluation of the equipment status on the pre-processed data. The communication management unit performs fault prediction and information management based on the previous work, and jointly realizes real-time monitoring and accurate early warning to ensure the safe operation of the power grid and reduce operation and maintenance costs.

[0027] Specifically, the present invention includes a monitoring unit 100, including a partial discharge monitoring module 101, an environmental monitoring module 102 and a preprocessing module 103. The partial discharge monitoring module 101 and the environmental monitoring module 102 are both connected to the preprocessing module 103; an analysis unit 200, which is connected to the monitoring unit 100 and can receive a signal transmitted by the preprocessing module 103 and perform data analysis according to the signal transmitted; and a communication management unit 300, which is connected to the analysis unit 200 and can perform fault prediction.

[0028] It should be noted that the partial discharge monitoring module 101 and the environmental monitoring module 102 are combined to realize the coordinated monitoring of high-voltage electrical equipment from multiple dimensions such as acoustics, electromagnetics and environmental science. The partial discharge monitoring module 101 comprehensively captures partial discharge signals through three sub-modules: ultrasonic waves, ground waves and ultra-high frequency, while the environmental monitoring module 102 provides key environmental parameters such as temperature, humidity and noise. The data fusion of the two can more accurately evaluate the equipment status. The pre-processing module 103 and the analysis unit 200 efficiently process and fuse the collected complex data, deeply integrate the data of different monitoring sub-modules, and mine more comprehensive equipment status information, improve the accuracy and reliability of monitoring, and provide a solid data foundation for fault prediction and equipment maintenance; the communication management unit 300 is responsible for data transmission and communication management in the HVset high-voltage partial discharge online monitoring system, adapts to a variety of communication protocols to achieve seamless connection with different equipment and systems, and undertakes fault prediction and early warning tasks.

[0029] Example 2

[0030] Reference Figure 1-Figure 2, which is the second embodiment of the present invention, and this embodiment provides an HVset high-voltage partial discharge online monitoring system, which builds an accurate and comprehensive high-voltage partial discharge online monitoring system based on the previous embodiment. An overall architecture including a monitoring unit 100, an analysis unit 200 and a communication management unit 300 is built to lay the foundation for the operation of the system, realize the comprehensive collection and processing of partial discharge and environmental information of high-voltage equipment, ensure the safe operation of the power grid and reduce the operation and maintenance costs. Through the collaborative work of different sub-modules in the partial discharge monitoring module 101, the accuracy and reliability of partial discharge monitoring are improved from the perspective of multiple physical principles, and the changes in the insulation state of the equipment are more effectively identified; through the key environmental parameters provided by the environmental monitoring module 102 to assist in state evaluation, combined with partial discharge monitoring data, the impact of environmental factors on the system can be detected in advance, and comprehensive and accurate evaluation of the operating status of the entire monitoring system can be achieved by integrating various information, providing strong support for timely discovery of potential faults and taking effective maintenance measures, and further enhancing the safety and stability of power grid operation.

[0031] Specifically, the present invention includes a monitoring unit 100, including a partial discharge monitoring module 101, an environmental monitoring module 102 and a preprocessing module 103. The partial discharge monitoring module 101 and the environmental monitoring module 102 are both connected to the preprocessing module 103; an analysis unit 200, which is connected to the monitoring unit 100 and can receive a signal transmitted by the preprocessing module 103 and perform data analysis according to the signal transmitted; and a communication management unit 300, which is connected to the analysis unit 200 and can perform fault prediction.

[0032] Furthermore, the partial discharge monitoring module 101 includes an ultrasonic monitoring submodule 101 a , a ground wave monitoring submodule 101 b and an ultra-high frequency monitoring submodule 101 c ; all of which are connected to the preprocessing module 103 .

[0033] Furthermore, the environment monitoring module 102 includes a temperature detection submodule 102 a , a humidity detection submodule 102 b and a noise detection submodule 102 c ; all of which are connected to the preprocessing module 103 .

[0034] It should be noted that the ultrasonic monitoring submodule 101a, the ground wave monitoring submodule 101b and the ultra-high frequency monitoring submodule 101c in the partial discharge monitoring module 101 are independent of each other but work together to complete the collection of partial discharge signals of high-voltage electrical equipment. They monitor the partial discharge situation from different principles and then transmit the collected signals to the preprocessing module 103.

[0035] The ultrasonic monitoring submodule 101a uses a PZT-5H piezoelectric ceramic sensor with better performance, which has higher sensitivity and stability, and then transmits the signal to the preprocessing module 103 through a shielded cable. The function is to detect the ultrasonic signal generated by partial discharge. Since the ultrasonic signal can propagate inside the equipment and pass through the cabinet gap or observation window, its detection result can be used to preliminarily determine whether there is partial discharge inside the equipment and roughly locate the discharge position, which solves the problem that traditional detection methods are difficult to detect discharge in hidden parts inside the equipment.

[0036] The ground wave monitoring submodule 101b adopts a high-precision capacitive TEV-200 ground wave sensor with an optimized internal structure and better sensing performance. The output end of the sensor is connected to an impedance matching circuit to ensure efficient signal transmission, and then connected to the preprocessing module 103 through a cable. Its function is to reflect the intensity and occurrence of local discharge inside the equipment by sensing transient ground voltage signals. It is more sensitive to insulation defects and assists in judging the severity of discharge, making up for the possible missed detection of a single monitoring technology.

[0037] The UHF monitoring submodule 101c uses a high-gain UHF-800 UHF sensor with an optimized antenna design for better reception. A bandpass filter is connected to the back end to filter out clutter, and then the signal is transmitted to the preprocessing module 103 through a cable. It is used to detect UHF electromagnetic wave signals, has high sensitivity and anti-interference ability, can effectively identify different types of partial discharge, improves the accuracy and reliability of monitoring, and helps to more accurately judge the insulation status of the equipment.

[0038] The temperature detection submodule 102b uses a high-precision PT100 thermistor sensor and a Wheatstone bridge circuit to convert temperature changes into voltage signals, which are connected to the preprocessing module 103 through wires. Its function is to monitor the ambient temperature of the equipment in real time. Temperature changes may affect the insulation performance of the equipment. By monitoring the temperature, it can assist in determining whether the equipment is operating normally. For example, a high temperature environment may accelerate insulation aging and cause partial discharge, providing an important environmental parameter basis for equipment status assessment.

[0039] The humidity detection submodule 102b uses a high-precision HMT331 capacitive humidity sensor. Its signal conditioning circuit uses a dedicated capacitance measurement chip to convert capacitance changes into digital signals, and then connects to the preprocessing module 103 through a data line. Its function is to monitor the ambient humidity. Humidity changes may cause condensation on the surface of the equipment, affecting the insulation strength and further causing partial discharge. It can provide early warning of potential risks caused by humidity changes, which helps to take corresponding measures to prevent equipment failures.

[0040] The noise detection submodule 102c uses a high-sensitivity ECM8000 microphone sensor and then transmits the signal to the preprocessing module 103 through a cable. Its function is to detect abnormal noise during the operation of the equipment. Abnormal noise may be related to partial discharge or other faults. Noise monitoring can assist in determining whether the equipment has abnormal operation, providing a reference for equipment fault diagnosis from another perspective.

[0041] The sampling frequency of the ultrasonic monitoring submodule 101a is increased from 40kHz to 80kHz, the sampling frequency of the ground wave monitoring submodule 101b is increased from 10MHz to 20MHz, and the sampling frequency of the UHF monitoring submodule 101c is increased from 300MHz to 600MHz, so as to obtain more detailed partial discharge signal change information.

[0042] In actual monitoring, when partial discharge occurs in a certain part of the equipment, the partial discharge monitoring module 101 quickly starts collaborative monitoring: the ultrasonic monitoring submodule 101a, with its highly sensitive sensor, first captures weak sound wave signals, letting the operation and maintenance personnel know that there is a possibility of discharge in the area; then, the ground wave monitoring submodule 101b accurately determines the discharge intensity and outlines the approximate range based on the changes in the sensed ground voltage signal; the ultra-high frequency monitoring submodule 101c relies on its excellent high-resolution characteristics to clearly identify the discharge type and determine whether it is a tip discharge or a breakdown of the internal insulation layer. At the same time, the environmental monitoring module 102 is also working. Once the environment in which the equipment is located changes slightly, the temperature detection submodule 102a will take action immediately, relying on high-precision thermistor sensors to keenly detect the slightest fluctuation in temperature. As long as the temperature deviates from the normal range, it indicates that the insulation performance of the equipment may be impacted, burying the hidden danger of partial discharge; the humidity detection submodule 102b uses a capacitive humidity sensor to accurately track humidity changes. When the humidity rises suddenly, condensation will most likely occur on the surface of the equipment, and the insulation strength will decrease accordingly, increasing the risk of partial discharge; the noise detection submodule 102c relies on a high-sensitivity microphone sensor to capture any abnormal sound. After all, abnormal sounds during equipment operation often indicate internal structural looseness, discharge and other faults. These two modules work together, with the partial discharge monitoring module 101 focusing on the internal discharge status of the equipment and the environmental monitoring module 102 paying attention to changes in external conditions, weaving a monitoring network from different dimensions to quickly capture potential risks as soon as there are signs of abnormality.

[0043] Example 3

[0044] Reference Figure 1-Figure 2 , which is the third embodiment of the present invention, provides an HVset high-voltage partial discharge online monitoring system, which can improve the safety and stability of the power grid and reduce operation and maintenance costs.

[0045] Specifically, the present invention includes a monitoring unit 100, including a partial discharge monitoring module 101, an environmental monitoring module 102 and a preprocessing module 103. The partial discharge monitoring module 101 and the environmental monitoring module 102 are both connected to the preprocessing module 103; an analysis unit 200, which is connected to the monitoring unit 100 and can receive a signal transmitted by the preprocessing module 103 and perform data analysis according to the signal transmitted; and a communication management unit 300, which is connected to the analysis unit 200 and can perform fault prediction.

[0046] Furthermore, the partial discharge monitoring module 101 includes an ultrasonic monitoring submodule 101 a , a ground wave monitoring submodule 101 b and an ultra-high frequency monitoring submodule 101 c ; all of which are connected to the preprocessing module 103 .

[0047] Furthermore, the environment monitoring module 102 includes a temperature detection submodule 102 a , a humidity detection submodule 102 b and a noise detection submodule 102 c ; all of which are connected to the preprocessing module 103 .

[0048] Furthermore, the analysis unit 200 includes a signal conditioning module 201 connected to the preprocessing module 103 , a data fusion module 202 connected to the signal conditioning module 201 , and a state evaluation module 203 connected to the data fusion module 202 .

[0049] Furthermore, the communication management unit 300 includes a fault prediction module 301 , a display module 302 connected to the fault prediction module 301 , and an alarm module 303 connected to the fault prediction module 301 .

[0050] Furthermore, the alarm module 303 includes a threshold setting submodule 303 a and an information transmission submodule 303 b ; the threshold setting submodule 303 a is connected to the fault prediction module 301 , and the information transmission submodule 303 b is connected to the display module 302 .

[0051] Furthermore, the communication management unit 300 also includes an energy management module 304 .

[0052] Preferably, the energy management module 304 includes a power submodule 304a and a sensor management submodule 304b; the power submodule 304a is connected to the monitoring unit 100 and the analysis unit 200 respectively; and the sensor management submodule 304b is connected to the monitoring unit 100 .

[0053] Preferably, the sensor management submodule 304 b is connected to the environment monitoring module 102 .

[0054] Preferably, the power submodule 304a is connected to the partial discharge monitoring module 101 and the environment monitoring module 102 respectively.

[0055] It should be noted that the pre-processing module 103 is the first stop in the data flow, and it is responsible for the preliminary processing of the raw signal collected by the monitoring unit 100. This includes steps such as removing noise, amplifying signals, and digitizing to facilitate subsequent data analysis. The pre-processing module ensures that the data is clean and usable before being transmitted to the analysis unit.

[0056] The signal conditioning module 201 further conditions the signal transmitted by the preprocessing module 103. This includes further operations such as denoising, amplification, filtering, etc., to improve the signal quality and facilitate the subsequent modules in the analysis unit 200 to perform more accurate data analysis.

[0057] The data fusion module 202 integrates the data from different monitoring submodules. This integration is not just a simple data superposition, but a comprehensive consideration of the information from various data sources through advanced algorithms and models to obtain more comprehensive equipment status information. This fusion can improve the accuracy of monitoring because it allows the system to evaluate the equipment status from multiple perspectives.

[0058] The status assessment module 203 performs a comprehensive assessment of the health status of the equipment based on the fused data. This module may contain complex algorithms and models to analyze the equipment status and determine whether the equipment is at risk of failure. The output of this module is the final assessment of the equipment status, which is crucial for the system's failure prediction and alarm mechanism.

[0059] The fault prediction module 301 is the brain of the system, and it performs fault prediction based on the data provided by the analysis unit 200. This module may use machine learning algorithms and statistical models to identify potential signs of faults. By analyzing the changing trend of the equipment status, this module can predict future faults and achieve early warning.

[0060] The display module 302 provides an intuitive interface for the operation and maintenance personnel to display the fault prediction results and system status. This module may include a screen display and a user interface so that the operation and maintenance personnel can easily monitor the system status and take action when necessary.

[0061] The alarm module 303 triggers an alarm when a potential fault is detected. This module includes a threshold setting submodule 303a and an information transmission submodule 303b. The threshold setting submodule 303a allows the system to set the alarm threshold based on historical data and experience, while the information transmission submodule 303b is responsible for transmitting the alarm information to the display module 302 to ensure that the operation and maintenance personnel can receive the alarm in time.

[0062] The power submodule 304a provides stable power support for the monitoring unit 100 and the analysis unit 200. This module ensures that the system can operate stably under various conditions, whether it is power fluctuations or power outages.

[0063] The sensor management submodule 304b is responsible for monitoring and managing the sensors connected to the monitoring unit 100. This module ensures that the data collected by the sensors is accurate and reliable, and is also responsible for the calibration and maintenance of the sensors to maintain the long-term stability and accuracy of the system.

[0064] In actual work, the various modules of the HVset high-voltage partial discharge online monitoring system work together. The partial discharge monitoring module 101, the ultrasonic monitoring submodule 101a, the ground wave monitoring submodule 101b, and the ultra-high frequency monitoring submodule 101c respectively capture the ultrasonic wave, transient ground voltage, and ultra-high frequency electromagnetic wave signals generated by partial discharge based on different physical principles. The sampling frequency is greatly improved, and no subtle discharge changes are missed, and the signal is transmitted to the pre-processing module 103. At the same time, the environmental monitoring submodule 102 uses the temperature detection submodule 102a, the humidity detection submodule, and the noise detection submodule 102c to perceive the environmental conditions in real time. Once the temperature is abnormal, the humidity changes suddenly, or abnormal noise occurs, the relevant data will also be sent to the pre-processing module 103.

[0065] As the starting point of data processing, the preprocessing module 103 carries out denoising, amplification, digitization and other work to make the messy original signal regular and usable. Subsequently, the signal conditioning module 201 takes over to further optimize the signal quality, remove residual interference, and accurately adjust the amplitude. The data fusion module 202 uses advanced algorithms to deeply integrate the data of different monitoring submodules to mine more comprehensive equipment status information. Based on the fusion results, the status assessment module 203 uses complex algorithms and models to comprehensively judge the health status of the equipment and determine whether there is a risk of failure. The fault prediction module 301 uses machine learning and other means to analyze past and current data and predict potential faults. The display module 302 intuitively presents the equipment status and prediction results to the operation and maintenance personnel, facilitating real-time monitoring. The threshold setting submodule 303a of the alarm module 303 flexibly sets the alarm critical value as needed. Once triggered, the information transmission submodule 303b quickly pushes the alarm to the display module 302. The power submodule 304a provides stable energy for the monitoring and analysis units throughout the process, and the sensor management submodule 304b monitors and calibrates the sensors at all times to ensure accurate and reliable data collection and maintain stable and accurate operation of the system.

[0066] In summary, the system realizes comprehensive monitoring of the status of high-voltage equipment by real-time monitoring and analysis of partial discharge signals and environmental parameters of high-voltage equipment, combined with advanced data processing and fault prediction technology. This comprehensive monitoring solution not only improves the safety and stability of the power grid, but also reduces operation and maintenance costs, providing strong technical support for the intelligence and automation of the power system.

[0067] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A HVset high voltage partial discharge online monitoring system, characterized by: include, A monitoring unit (100) comprises a partial discharge monitoring module (101), an environment monitoring module (102) and a pre-processing module (103), wherein the partial discharge monitoring module (101) and the environment monitoring module (102) are both connected to the pre-processing module (103); An analysis unit (200), the analysis unit (200) being connected to the monitoring unit (100), capable of receiving a signal transmitted by the preprocessing module (103) and performing data analysis based on the signal transmitted; A communication management unit (300) is connected to the analysis unit (200) and is capable of performing fault prediction.

2. The HVset high-voltage partial discharge online monitoring system according to claim 1, characterized in that: The partial discharge monitoring module (101) comprises an ultrasonic monitoring submodule (101a), a ground wave monitoring submodule (101b) and an ultra-high frequency monitoring submodule (101c), and all of them are connected to the preprocessing module (103).

3. The HVset high-voltage partial discharge online monitoring system according to claim 2, characterized in that: The environment monitoring module (102) comprises a temperature detection submodule (102a), a humidity detection submodule (102b) and a noise detection submodule (102c), and all of them are connected to the preprocessing module (103).

4. The HVset high-voltage partial discharge online monitoring system according to claim 3, characterized in that: The analysis unit (200) comprises a signal conditioning module (201) connected to the preprocessing module (103), a data fusion module (202) connected to the signal conditioning module (201), and a state evaluation module (203) connected to the data fusion module (202).

5. The HVset high-voltage partial discharge online monitoring system according to claim 4, characterized in that: The communication management unit (300) comprises a fault prediction module (301), a display module (302) connected to the fault prediction module (301), and an alarm module (303) connected to the fault prediction module (301).

6. The HVset high-voltage partial discharge online monitoring system according to claim 5, characterized in that: The alarm module (303) comprises a threshold setting submodule (303a) and an information transmission submodule (303b); the threshold setting submodule (303a) is connected to the fault prediction module (301), and the information transmission submodule (303b) is connected to the display module (302).

7. The HVset high-voltage partial discharge online monitoring system according to claim 6, characterized in that: The communication management unit (300) also includes an energy management module (304).

8. The HVset high-voltage partial discharge online monitoring system according to claim 7, characterized in that: The energy management module (304) comprises a power submodule (304a) and a sensor management submodule (304b); the power submodule (304a) is respectively connected to the monitoring unit (100) and the analysis unit (200); and the sensor management submodule (304b) is connected to the monitoring unit (100).

9. The HVset high-voltage partial discharge online monitoring system according to claim 8, characterized in that: The sensor management submodule (304b) is connected to the environment monitoring module (102).

10. The HVset high-voltage partial discharge online monitoring system according to claim 9, characterized in that: The power submodule (304a) is connected to the partial discharge monitoring module (101) and the environment monitoring module (102) respectively.

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