High-voltage switch cabinet partial discharge on-line monitoring system

Abstract

The invention relates to the technical field of partial discharge monitoring, in particular to a high-voltage switch cabinet partial discharge on-line monitoring system which comprises a partial discharge on-line monitoring platform, a partial discharge information unit, a live discharge supervision unit, an insulation risk unit, a dynamic tracking unit, an insulation influence unit and a management response unit. Partial discharge characteristics are analyzed in an information feedback mode, so that the partial discharge characteristics of each discharge point can be intuitively known, discharge maintenance can be performed on the high-voltage switch cabinet in a targeted manner, and dynamic safety supervision feedback analysis is performed on the state information through the angle of the dynamic trend, so that the safety of the high-voltage switch cabinet is improved. According to the method, the partial discharge risk change trend condition of the high-voltage switch cabinet is known, and the insulation risk of the current high-voltage switch cabinet is analyzed in a progressive manner, so that the insulation defect risk condition of the high-voltage switch cabinet is intuitively known, reasonable and targeted insulation management is carried out, and the potential accident risk is reduced.

Description

Technical Field

[0001] The invention relates to the technical field of partial discharge monitoring, and in particular to an online partial discharge monitoring system for a high-voltage switch cabinet. Background Art

[0002] As an important part of the power system, the safe and stable operation of high-voltage switchgear is crucial to the reliability of the entire power grid. However, due to various reasons such as equipment aging, manufacturing defects or environmental factors, partial discharge may occur inside the switchgear, which will not only accelerate the aging of the equipment, but also may cause serious equipment failures or even fires.

[0003] Partial discharge is a pulse discharge that will produce a series of physical phenomena and chemical changes such as light, sound, electrical and mechanical vibrations inside and around power equipment. These various physical and chemical changes caused by partial discharge can provide detection signals for monitoring the internal insulation status of power equipment. However, in the existing technology, it is impossible to provide timely and accurate early warning for partial discharge of high-voltage switchgear, thereby reducing the timeliness of management and early warning effect of partial discharge of high-voltage switchgear, and it is impossible to carry out targeted operation and maintenance according to the characteristics of partial discharge at each monitoring point in the high-voltage switchgear, and it is impossible to carry out rational management according to the insulation risk of the high-voltage switchgear, thereby increasing the potential accident risk of the high-voltage switchgear;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide an online monitoring system for partial discharge of a high-voltage switch cabinet to solve the technical defects mentioned above. The present invention analyzes the partial discharge characteristics by means of information feedback so as to intuitively understand the partial discharge characteristics of each discharge point, so as to carry out discharge maintenance on the high-voltage switch cabinet in a targeted manner, so as to improve the operating safety and early warning timeliness of the high-voltage switch cabinet, and to carry out dynamic safety supervision feedback analysis on the status information from the perspective of dynamic trends, so as to understand the changing trend of the partial discharge risk of the high-voltage switch cabinet, so as to make reasonable and targeted response management, and to carry out insulation risk supervision feedback analysis on the insulation risk data in a progressive manner, so as to understand the insulation risk of the current high-voltage switch cabinet, and to analyze the changing trend of the partial discharge point of the high-voltage switch cabinet, so as to intuitively understand the insulation defect risk of the high-voltage switch cabinet, so as to carry out reasonable and targeted insulation management, so as to reduce the number of partial discharges and reduce the potential risk of accidents.

[0006] The object of the present invention can be achieved by the following technical solutions: A partial discharge online monitoring system for high-voltage switchgear, comprising a partial discharge online monitoring platform, a partial discharge information unit, a live discharge supervision unit, an insulation risk unit, a dynamic tracking unit, an insulation impact unit, and a management response unit;

[0007] The partial discharge information unit is used to collect the operating condition data and insulation risk data of the high-voltage switchgear, and send the operating condition data and insulation risk data to the real-time discharge supervision unit and the insulation risk unit respectively;

[0008] After receiving the operating condition data, the live discharge monitoring unit immediately performs partial discharge safety monitoring analysis on the operating condition data to obtain a partial discharge signal. When a partial discharge signal is generated, a continuous frequency evaluation index is compared and analyzed to obtain an intermittent frequent partial discharge signal and a continuous frequent partial discharge signal.

[0009] The dynamic tracking unit is used to respond to the discharge signal and collect the status information of each discharge point in the high-voltage switch cabinet, and perform dynamic safety supervision feedback analysis on the status information, compare and analyze the partial discharge risk index obtained, and obtain a trend risk signal;

[0010] The insulation risk unit responds to the partial discharge signal and performs insulation risk supervision feedback analysis on the received insulation risk data to obtain an insulation impact index JY;

[0011] The insulation impact unit is used to retrieve the insulation impact index JY, and perform insulation defect management evaluation analysis, and compare and analyze the obtained insulation risk assessment coefficient R to obtain the insulation management value JG.

[0012] Preferably, the partial discharge safety supervision analysis process of the live discharge supervision unit is as follows:

[0013] The operating time period of the high-voltage switchgear is collected and set as the time threshold. i partial discharge monitoring points are set in the high-voltage switchgear, where i is a natural number greater than zero. The operating condition data of each partial discharge monitoring point in the high-voltage switchgear within the time threshold are obtained. The operating condition data include discharge repetition rate, apparent discharge charge and discharge amount. The discharge repetition rate, apparent discharge charge and discharge amount are compared and analyzed with the preset discharge repetition rate threshold, preset apparent discharge charge threshold and preset discharge amount threshold recorded and stored internally to obtain a partial discharge signal.

[0014] Preferably, when the live discharge monitoring unit generates a partial discharge signal:

[0015] The partial discharge monitoring point corresponding to the local discharge signal is set as the discharge point, and the time threshold is divided into g sub-time periods, where g is a natural number greater than zero. The discharge data of each discharge point in each sub-time period is obtained, and the discharge data includes the number of discharges and the average of the interval duration. The number of discharges and the average of the interval duration are compared and analyzed with the preset discharge number threshold and the preset interval duration average threshold recorded and stored internally. If the number of discharges is greater than the preset discharge number threshold, or the interval duration average is less than the preset interval duration average threshold, then the corresponding sub-time period is determined to be a frequent partial discharge period. If the number of discharges is less than or equal to the preset discharge number threshold, and the interval duration average is greater than or equal to the preset interval duration average threshold, then the corresponding sub-time period is determined to be an intermittent partial discharge period. The ratio between the number of sub-time periods corresponding to the frequent partial discharge period and the number of sub-time periods corresponding to the intermittent partial discharge period is obtained and set as the continuous frequent evaluation index. The continuous frequent evaluation index is compared and analyzed with the preset continuous frequent evaluation index threshold recorded and stored internally to obtain the intermittent frequent partial discharge signal and the continuous frequent partial discharge signal.

[0016] Preferably, the dynamic safety supervision feedback analysis process of the dynamic tracking unit is as follows:

[0017] The status information of each discharge point in the high-voltage switch cabinet in each sub-time period is obtained, and the status information includes the partial discharge amplitude, discharge frequency and pulse cycle number, and the partial discharge amplitude, discharge frequency and pulse cycle number are labeled as JFg, FGg and MCg respectively, and the partial discharge performance evaluation coefficient Fg of the discharge point in the high-voltage switch cabinet in each sub-time period is obtained according to the calculation;

[0018] A rectangular coordinate system is established with the number of sub-times as the X-axis and the partial discharge performance evaluation coefficient Fg as the Y-axis, and a partial discharge performance evaluation coefficient curve is drawn by plotting points, and then the change trend value of the drawn partial discharge performance evaluation coefficient curve is set as the partial discharge risk index;

[0019] The partial discharge risk index is compared and analyzed with the preset partial discharge risk index threshold value recorded and stored internally to obtain a trend risk signal.

[0020] Preferably, the insulation risk supervision feedback analysis process of the insulation risk unit is as follows:

[0021] The insulation risk data of the high-voltage switchgear within the time threshold is obtained. The insulation risk data includes the operating condition management value and the external interference index. The operating condition management value and the external interference index are compared and analyzed with the preset operating condition management value threshold and the preset external interference index threshold entered and stored internally to obtain the low-level insulation impact and the high-level insulation impact. The low-level insulation impact and the low-level insulation impact are set as the insulation impact index JY, JY=2,4.

[0022] Preferably, the operating condition management value represents the product of the input time of the high-voltage switchgear and the operation and maintenance value after data normalization processing, the input time represents the time between the input time and the current time, and the operation and maintenance value represents the total time corresponding to the number of delayed maintenance; the external interference index represents the product of the proportion of the time corresponding to the preset environmental humidity value threshold within the input time of the high-voltage switchgear and the proportion of the time corresponding to the preset threshold value of the working voltage after data normalization processing.

[0023] Preferably, the insulation defect management evaluation and analysis process of the insulation impact unit is as follows:

[0024] The number of discharge points in the high-voltage switch cabinet within the time threshold is obtained, and the number of discharge points in the high-voltage switch cabinet is set as the local point value, and then the change curve of the local point value within the time threshold is obtained, and it is set as the local discharge value curve, and the change trend value of the local discharge value curve is obtained, and it is set as the insulation damage index JZ;

[0025] Substitute the insulation influence index JY and the insulation damage index JZ into the formula to obtain the insulation risk assessment coefficient R, compare and analyze the insulation risk assessment coefficient R with the preset insulation risk assessment coefficient range entered and stored internally to obtain the first-level insulation state, the second-level insulation state and the third-level insulation state, and set the first-level insulation state, the second-level insulation state and the third-level insulation state as the insulation management value JG, JG=1, 2, 3.

[0026] The beneficial effects of the present invention are as follows:

[0027] (1) The present invention performs analysis from a preliminary partial discharge monitoring perspective, that is, performs partial discharge safety supervision analysis on the operating condition data to understand the partial discharge risk of the high-voltage switchgear, so as to carry out discharge maintenance on the high-voltage switchgear in a targeted manner, and further performs partial discharge feature analysis by means of information feedback, so as to intuitively understand the partial discharge features of each discharge point, so as to carry out discharge maintenance on the high-voltage switchgear in a targeted manner, so as to improve the operating safety and early warning timeliness of the high-voltage switchgear, and performs dynamic safety supervision feedback analysis on the status information from the perspective of dynamic trends, so as to understand the trend of partial discharge risk changes of the high-voltage switchgear, so as to make reasonable and targeted response management;

[0028] (2) The present invention performs insulation risk supervision feedback analysis on insulation risk data in a progressive manner to understand the current insulation risk situation of the high-voltage switchgear, and analyzes the change trend of the local discharge points of the high-voltage switchgear to intuitively understand the insulation defect risk situation of the high-voltage switchgear, so as to carry out reasonable and targeted insulation management, reduce the number of local discharges, and reduce potential accident risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The present invention will be further described below in conjunction with the accompanying drawings;

[0030] Figure 1 It is a flowchart of the system of the present invention;

[0031] Figure 2 It is a local analysis reference diagram of the first embodiment of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] Embodiment 1:

[0034] See also Figure 1 to Figure 2 As shown, the present invention is an online monitoring system for partial discharge of a high-voltage switch cabinet, comprising an online partial discharge monitoring platform, a partial discharge information unit, a real-time discharge supervision unit, an insulation risk unit, a dynamic tracking unit, an insulation impact unit and a management response unit, wherein the online partial discharge monitoring platform is connected to the partial discharge information unit in a one-way communication manner, the partial discharge information unit is connected to the real-time discharge supervision unit and the insulation risk unit in a one-way communication manner, the real-time discharge supervision unit is connected to the insulation risk unit, the dynamic tracking unit and the management response unit in a one-way communication manner, the insulation risk unit is connected to the insulation impact unit in a one-way communication manner, and the insulation impact unit is connected to the management response unit in a one-way communication manner;

[0035] When the partial discharge online monitoring platform monitors the operation of the high-voltage switchgear, a supervision instruction is generated and sent to the partial discharge information unit. After receiving the supervision instruction, the partial discharge information unit immediately collects the operating condition data and insulation risk data of the high-voltage switchgear, and sends the operating condition data and insulation risk data to the real-time discharge supervision unit and the insulation risk unit respectively. After receiving the operating condition data, the real-time discharge supervision unit immediately performs partial discharge safety supervision analysis on the operating condition data to understand the partial discharge risk of the high-voltage switchgear, so as to carry out discharge maintenance on the high-voltage switchgear in a targeted manner. The specific partial discharge safety supervision analysis process is as follows:

[0036] The operation time period of the high-voltage switch cabinet is collected and set as the time threshold. i partial discharge monitoring points are set in the high-voltage switch cabinet, where i is a natural number greater than zero. The operation condition data of each partial discharge monitoring point in the high-voltage switch cabinet within the time threshold are obtained. The operation condition data includes the discharge repetition rate, apparent discharge charge and discharge amount. The discharge repetition rate, apparent discharge charge and discharge amount are compared and analyzed with the preset discharge repetition rate threshold, preset apparent discharge charge threshold and preset discharge amount threshold recorded and stored internally:

[0037] If the discharge repetition rate, the apparent discharge charge and the discharge amount are all less than the preset discharge repetition rate threshold, the preset apparent discharge charge threshold and the preset discharge amount threshold, no signal is generated;

[0038] If the discharge repetition rate, the apparent discharge charge and the discharge amount are all less than the preset discharge repetition rate threshold, the preset apparent discharge charge threshold and the preset discharge amount threshold, a partial discharge signal is generated;

[0039] When a partial discharge signal is generated, the partial discharge monitoring point corresponding to the partial discharge signal is set as the discharge point, the time threshold is divided into g sub-time periods, g is a natural number greater than zero, and the discharge data of each discharge point in each sub-time period is obtained. The discharge data includes the number of discharges and the average of the interval duration. The number of discharges and the average of the interval duration are compared and analyzed with the preset discharge number threshold and the preset interval duration average threshold recorded and stored internally. If the number of discharges is greater than the preset discharge number threshold, or the interval duration average is less than the preset interval duration average threshold, then the corresponding sub-time period is determined to be a frequent partial discharge period. If the number of discharges is less than or equal to the preset discharge number threshold, and the interval duration average is greater than or equal to the preset interval duration average threshold, then the corresponding sub-time period is determined to be an intermittent partial discharge period. The ratio between the number of sub-time periods corresponding to the frequent partial discharge period and the number of sub-time periods corresponding to the intermittent partial discharge period is obtained and set as the continuous frequency evaluation index. The continuous frequency evaluation index is compared and analyzed with the preset continuous frequency evaluation index threshold recorded and stored internally:

[0040] If the ratio between the continuous frequency evaluation index and the preset continuous frequency evaluation index threshold is less than 1, an intermittent frequency partial discharge signal is generated;

[0041] If the ratio between the continuous frequency assessment index and the preset continuous frequency assessment index threshold is greater than or equal to 1, a continuous frequency partial discharge signal is generated, and the intermittent frequency partial discharge signal and the continuous frequency partial discharge signal are sent to the management response unit. After receiving the intermittent frequency partial discharge signal and the continuous frequency partial discharge signal, the management response unit immediately displays the preset warning text corresponding to the intermittent frequency partial discharge signal and the continuous frequency partial discharge signal, so as to intuitively understand the local discharge characteristics of each discharge point, so as to carry out discharge maintenance on the high-voltage switchgear in a targeted manner, so as to improve the operation safety and warning timeliness of the high-voltage switchgear;

[0042] When a partial discharge signal is generated, the dynamic tracking unit is used to respond to the discharge signal and collect the status information of each discharge point in the high-voltage switchgear, and perform dynamic safety supervision feedback analysis on the status information to understand the trend of partial discharge risk changes in the high-voltage switchgear, so as to make reasonable and targeted response management. The specific dynamic safety supervision feedback analysis process is as follows:

[0043] The status information of each discharge point in the high-voltage switch cabinet in each sub-time period is obtained, and the status information includes partial discharge amplitude, discharge frequency and pulse cycle number, and the partial discharge amplitude, discharge frequency and pulse cycle number are respectively labeled as JFg, FGg and MCg, and the partial discharge performance evaluation coefficient of the discharge point in the high-voltage switch cabinet in each sub-time period is calculated according to Fg=JFg×a1×FGg×a2×MCg×a3÷a4, wherein a1, a2 and a3 are respectively preset proportional factor coefficients of the partial discharge amplitude, discharge frequency and pulse cycle number, and the proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process, so as to make the calculation result more accurate, a4 is the preset correction factor coefficient, a1, a2, a3 and a4 are all greater than zero, and Fg is the partial discharge performance evaluation coefficient of the discharge point in the high-voltage switch cabinet in each sub-time period;

[0044] A rectangular coordinate system is established with the number of sub-times as the X-axis and the partial discharge performance evaluation coefficient Fg as the Y-axis, and a partial discharge performance evaluation coefficient curve is drawn by plotting points, and then the change trend value of the drawn partial discharge performance evaluation coefficient curve is set as the partial discharge risk index;

[0045] Compare and analyze the partial discharge risk index with the preset partial discharge risk index threshold value stored internally:

[0046] If the ratio between the partial discharge risk index and the preset partial discharge risk index threshold is less than 1, no signal is generated;

[0047] If the ratio between the partial discharge risk index and the preset partial discharge risk index threshold is greater than or equal to 1, a trend risk signal is generated and sent to the management response unit. After receiving the trend risk signal, the management response unit immediately displays the preset warning text corresponding to the trend risk signal, so as to intuitively understand the risk trend of each discharge point, so as to carry out reasonable management according to the information feedback, so as to improve the power safety and reliability of the high-voltage switchgear.

[0048] Embodiment 2:

[0049] When a partial discharge signal is generated, the insulation risk unit responds to the partial discharge signal and performs insulation risk supervision feedback analysis on the received insulation risk data to understand the current insulation risk situation of the high-voltage switchgear. The specific insulation risk supervision feedback analysis process is as follows:

[0050] The insulation risk data of the high-voltage switchgear within the time threshold is obtained. The insulation risk data includes the working condition management value and the external interference index. The working condition management value and the external interference index are compared and analyzed with the preset working condition management value threshold and the preset external interference index threshold stored in the internal input:

[0051] If the operating condition management value is less than or equal to the preset operating condition management value threshold, and the external interference index is less than or equal to the preset external interference index threshold, it is determined to be a low-level insulation impact;

[0052] If the operating condition management value is greater than the preset operating condition management value threshold, or the external interference index is greater than the preset external interference index threshold, it is determined to be a high-level insulation impact, wherein the insulation risk levels of the high-voltage switchgear corresponding to the low-level insulation impact and the high-level insulation impact increase in sequence, and the low-level insulation impact and the low-level insulation impact are set as the insulation impact index JY, JY = 2, 4, that is, the insulation impact index JY = 2, indicating a low-level insulation impact, and the insulation impact index JY = 4, indicating a high-level insulation impact;

[0053] In the embodiment of the present invention, the working condition management value represents the product value obtained by multiplying the input time of the high-voltage switchgear and the operation and maintenance value after data normalization processing, the input time represents the time from the input time to the current time, and the operation and maintenance value represents the total time corresponding to the number of delayed maintenance. It should be noted that the working condition management value is a parameter reflecting the influence of the high-voltage switchgear itself on the insulation;

[0054] In the embodiment of the present invention, the external interference index represents the product value obtained by multiplying the proportion of the time corresponding to the preset environmental humidity value threshold value during the operation time of the high-voltage switch cabinet by the proportion of the time corresponding to the preset operating voltage threshold value after data normalization. It should be noted that the external interference index is a parameter that reflects the influence of external factors on the insulation of the high-voltage switch cabinet;

[0055] The insulation impact unit is used to retrieve the insulation impact index JY and conduct insulation defect management evaluation and analysis, so as to intuitively understand the insulation defect risk of the high-voltage switchgear, so as to conduct reasonable and targeted insulation management to reduce the number of partial discharges and reduce the potential accident risks. The specific insulation defect management evaluation and analysis process is as follows:

[0056] The number of discharge points in the high-voltage switchgear within the time threshold is obtained, and the number of discharge points in the high-voltage switchgear is set as the local point value, and then the change curve of the local point value within the time threshold is obtained, and it is set as the local discharge value curve, and the change trend value of the local discharge value curve is obtained at the same time, and it is set as the insulation damage index JZ. It should be noted that the larger the value of the insulation damage index JZ, the greater the risk of insulation defects in the high-voltage switchgear;

[0057] Substitute the insulation impact index JY and insulation damage index JZ into the formula R = (JY×f1+JZ×f2) 2 ÷f3 to obtain the insulation risk assessment coefficient, where f1 and f2 are the preset weight factor coefficients of the insulation impact index JY and the insulation damage index JZ respectively, f3 is the preset error factor coefficient, f1, f2 and f3 are all greater than zero, R is the insulation risk assessment coefficient, and the insulation risk assessment coefficient R is compared and analyzed with the preset insulation risk assessment coefficient range stored in the internal input:

[0058] If the insulation risk assessment factor R is greater than the maximum value in the preset insulation risk assessment factor range, it is determined to be a first-level insulation state;

[0059] If the insulation risk assessment factor R falls within the preset insulation risk assessment factor range, it is determined to be in secondary insulation state;

[0060] If the insulation risk assessment coefficient R is less than the minimum value in the preset insulation risk assessment coefficient range, it is determined to be a level 3 insulation state, wherein the insulation management requirements corresponding to the level 1 insulation state, level 2 insulation state and level 3 insulation state are abnormally reduced, and the level 1 insulation state, level 2 insulation state and level 3 insulation state are set to insulation management values ​​JG, JG=1, 2, 3, that is, the insulation management value JG=1 indicates a level 1 insulation state, the insulation management value JG=2 indicates a level 2 insulation state, and the insulation management value JG=3 indicates a level 3 insulation state, and the insulation management value JG is sent to the management response unit. After receiving the insulation management value JG, the management response unit immediately displays the preset warning number corresponding to the insulation management value JG, so as to intuitively understand the insulation defect risk of the high-voltage switchgear, so as to carry out reasonable and targeted insulation management, so as to reduce the number of partial discharges and reduce the potential risk of accidents;

[0061] In summary, the present invention analyzes from a preliminary partial discharge monitoring perspective, that is, performs partial discharge safety supervision analysis on the operating condition data to understand the partial discharge risk of the high-voltage switchgear, so as to carry out discharge maintenance on the high-voltage switchgear in a targeted manner, and further analyzes the partial discharge characteristics by means of information feedback, so as to intuitively understand the partial discharge characteristics of each discharge point, so as to carry out discharge maintenance on the high-voltage switchgear in a targeted manner, so as to improve the operation safety and early warning timeliness of the high-voltage switchgear, and performs dynamic safety supervision feedback analysis on the state information from the perspective of dynamic trends, so as to understand the changing trend of the partial discharge risk of the high-voltage switchgear, so as to make reasonable and targeted response management, and performs insulation risk supervision feedback analysis on the insulation risk data in a progressive manner, so as to understand the insulation risk of the current high-voltage switchgear, and analyzes from the perspective of the changing trend of the partial discharge point of the high-voltage switchgear, so as to intuitively understand the insulation defect risk of the high-voltage switchgear, so as to carry out reasonable and targeted insulation management, so as to reduce the number of partial discharges and reduce the potential risk of accidents.

[0062] The threshold is set to facilitate comparison. The threshold depends on the amount of sample data and the number of bases set by technicians in this field for each set of sample data, as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0063] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A high-voltage switchgear partial discharge online monitoring system, characterized in that: It includes partial discharge online monitoring platform, partial discharge information unit, real-time discharge supervision unit, insulation risk unit, dynamic tracking unit, insulation impact unit and management response unit; The partial discharge information unit is used to collect the operating condition data and insulation risk data of the high-voltage switchgear, and send the operating condition data and insulation risk data to the real-time discharge supervision unit and the insulation risk unit respectively; After receiving the operating condition data, the live discharge monitoring unit immediately performs partial discharge safety monitoring analysis on the operating condition data to obtain a partial discharge signal. When a partial discharge signal is generated, a continuous frequency evaluation index is compared and analyzed to obtain an intermittent frequent partial discharge signal and a continuous frequent partial discharge signal. The dynamic tracking unit is used to respond to the discharge signal and collect the status information of each discharge point in the high-voltage switch cabinet, and perform dynamic safety supervision feedback analysis on the status information, compare and analyze the partial discharge risk index obtained, and obtain a trend risk signal; The insulation risk unit responds to the partial discharge signal and performs insulation risk supervision feedback analysis on the received insulation risk data to obtain an insulation impact index JY; The insulation impact unit is used to retrieve the insulation impact index JY, and perform insulation defect management evaluation analysis, and compare and analyze the obtained insulation risk assessment coefficient R to obtain the insulation management value JG.

2. A high-voltage switch cabinet partial discharge online monitoring system according to claim 1, characterized in that: The partial discharge safety supervision analysis process of the live discharge supervision unit is as follows: The operating time period of the high-voltage switchgear is collected and set as the time threshold. i partial discharge monitoring points are set in the high-voltage switchgear, where i is a natural number greater than zero. The operating condition data of each partial discharge monitoring point in the high-voltage switchgear within the time threshold are obtained. The operating condition data include discharge repetition rate, apparent discharge charge and discharge amount. The discharge repetition rate, apparent discharge charge and discharge amount are compared and analyzed with the preset discharge repetition rate threshold, preset apparent discharge charge threshold and preset discharge amount threshold recorded and stored internally to obtain a partial discharge signal.

3. A high-voltage switchgear partial discharge online monitoring system according to claim 2, characterized in that: When the live discharge monitoring unit generates a partial discharge signal: The partial discharge monitoring point corresponding to the local discharge signal is set as the discharge point, and the time threshold is divided into g sub-time periods, where g is a natural number greater than zero. The discharge data of each discharge point in each sub-time period is obtained, and the discharge data includes the number of discharges and the average of the interval duration. The number of discharges and the average of the interval duration are compared and analyzed with the preset discharge number threshold and the preset interval duration average threshold recorded and stored internally. If the number of discharges is greater than the preset discharge number threshold, or the interval duration average is less than the preset interval duration average threshold, then the corresponding sub-time period is determined to be a frequent partial discharge period. If the number of discharges is less than or equal to the preset discharge number threshold, and the interval duration average is greater than or equal to the preset interval duration average threshold, then the corresponding sub-time period is determined to be an intermittent partial discharge period. The ratio between the number of sub-time periods corresponding to the frequent partial discharge period and the number of sub-time periods corresponding to the intermittent partial discharge period is obtained and set as the continuous frequent evaluation index. The continuous frequent evaluation index is compared and analyzed with the preset continuous frequent evaluation index threshold recorded and stored internally to obtain the intermittent frequent partial discharge signal and the continuous frequent partial discharge signal.

4. The online monitoring system for partial discharge of a high-voltage switch cabinet according to claim 1 is characterized in that: The dynamic safety supervision feedback analysis process of the dynamic tracking unit is as follows: The status information of each discharge point in the high-voltage switch cabinet in each sub-time period is obtained, and the status information includes the partial discharge amplitude, discharge frequency and pulse cycle number, and the partial discharge amplitude, discharge frequency and pulse cycle number are labeled as JFg, FGg and MCg respectively, and the partial discharge performance evaluation coefficient Fg of the discharge point in the high-voltage switch cabinet in each sub-time period is obtained according to the calculation; A rectangular coordinate system is established with the number of sub-times as the X-axis and the partial discharge performance evaluation coefficient Fg as the Y-axis, and a partial discharge performance evaluation coefficient curve is drawn by plotting points, and then the change trend value of the drawn partial discharge performance evaluation coefficient curve is set as the partial discharge risk index; The partial discharge risk index is compared and analyzed with the preset partial discharge risk index threshold value recorded and stored internally to obtain a trend risk signal.

5. The online monitoring system for partial discharge of a high-voltage switch cabinet according to claim 1 is characterized in that: The insulation risk supervision feedback analysis process of the insulation risk unit is as follows: The insulation risk data of the high-voltage switchgear within the time threshold is obtained. The insulation risk data includes the operating condition management value and the external interference index. The operating condition management value and the external interference index are compared and analyzed with the preset operating condition management value threshold and the preset external interference index threshold entered and stored internally to obtain the low-level insulation impact and the high-level insulation impact. The low-level insulation impact and the low-level insulation impact are set as the insulation impact index JY, JY=2,4.

6. A high-voltage switchgear partial discharge online monitoring system according to claim 4, characterized in that: The operating condition management value represents the product of the input time of the high-voltage switchgear and the operation and maintenance value after data normalization processing, the input time represents the time between the input time and the current time, and the operation and maintenance value represents the total time corresponding to the number of delayed maintenance; the external interference index represents the product of the proportion of the time corresponding to the preset environmental humidity value threshold value within the input time of the high-voltage switchgear and the proportion of the time corresponding to the working voltage exceeding the preset threshold value after data normalization processing.

7. The high-voltage switch cabinet partial discharge online monitoring system according to claim 1 is characterized in that: The insulation defect management assessment and analysis process of the insulation impact unit is as follows: The number of discharge points in the high-voltage switch cabinet within the time threshold is obtained, and the number of discharge points in the high-voltage switch cabinet is set as the local point value, and then the change curve of the local point value within the time threshold is obtained, and it is set as the local discharge value curve, and the change trend value of the local discharge value curve is obtained, and it is set as the insulation damage index JZ; Substitute the insulation influence index JY and the insulation damage index JZ into the formula to obtain the insulation risk assessment coefficient R, compare and analyze the insulation risk assessment coefficient R with the preset insulation risk assessment coefficient range entered and stored internally to obtain the first-level insulation state, the second-level insulation state and the third-level insulation state, and set the first-level insulation state, the second-level insulation state and the third-level insulation state as the insulation management value JG, JG=1, 2, 3.

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