High-voltage switch cabinet fault monitoring system and method

Abstract

The invention discloses a high-voltage switch cabinet fault monitoring system and method, which are used for solving the technical problem of non-ideal monitoring effect caused by the traditional high-voltage switch cabinet fault monitoring technology. The system comprises a monitoring module, an identification module, an analysis module, a comparison module and an early warning module which are connected in sequence. The monitoring module comprises a plurality of high-precision temperature sensors, the high-precision temperature sensors are arranged in one-to-one correspondence with monitoring points in the high-voltage switch cabinet, and the monitoring points in the high-voltage switch cabinet are identified through the identification module to obtain a space element monitoring area; a comparison module carries out overheat point monitoring on the space element monitoring area according to the target dynamic temperature threshold value and the real-time temperature data, outputs the number of overheat points corresponding to the space element monitoring area, and carries out early warning according to a comparison result of a preset number range and the number of overheat points corresponding to the space element monitoring area through an early warning module. And generating a high-voltage switch cabinet alarm result.

Description

Technical Field

[0001] The present invention relates to the technical field of power transmission and transformation equipment status monitoring, and in particular to a high-voltage switch cabinet fault monitoring system and method. Background Art

[0002] High-voltage switchgear is an electrical equipment that opens and closes, controls and protects electrical equipment in the process of power generation, transmission, distribution and energy conversion in the power system. It is widely used in power plants, substations and distribution rooms in the power system. Generally speaking, high-voltage switchgear is mainly composed of circuit breakers, disconnectors, load switches, operating mechanisms, mutual inductors and various protective devices. These electronic components and mechanical operating mechanisms are often faced with complex electromagnetic field distribution, frequent spark discharge and arc extinguishing problems during use, making each component prone to partial discharge and even aging breakdown. Especially when the high-order harmonic electromagnetic field is strong, the electromagnetic environment of the high-voltage switchgear is more complex, the mechanical transmission characteristics of the switch segment operating mechanism change, and fault detection inside the high-voltage switchgear under the high-order harmonic electromagnetic field is particularly necessary.

[0003] Due to the large size and extremely complex structure of high-voltage switchgear, high-voltage switchgear contains numerous mechanical and electrical structures. During long-term operation, existing high-voltage switchgear may cause internal component overheating, partial discharge, mechanical operating mechanism abnormalities, excessive harmonic content affecting disconnection, etc. due to various reasons, which may lead to equipment failure or even safety accidents.

[0004] Traditional high-voltage switchgear fault monitoring technology often relies on manual periodic inspections or simple temperature alarm devices, which cannot achieve continuous monitoring and intelligent analysis, making it difficult to detect potential overheating problems in a timely manner, resulting in unsatisfactory monitoring results. Summary of the invention

[0005] The present invention provides a high-voltage switch cabinet fault monitoring system and method, which are used to solve the technical problem that the traditional high-voltage switch cabinet fault monitoring technology leads to unsatisfactory monitoring effect.

[0006] A first aspect of the present invention provides a high-voltage switch cabinet fault monitoring system, the system comprising a monitoring module, an identification module, an analysis module, a comparison module, and an early warning module connected in sequence;

[0007] The monitoring module includes a plurality of high-precision temperature sensors, each of which is arranged in one-to-one correspondence with each monitoring point inside the high-voltage switch cabinet, and each of which is connected to the identification module;

[0008] The high-precision temperature sensor is used to obtain real-time temperature data and real-time environmental data of the corresponding monitoring point;

[0009] The identification module is used to identify each of the monitoring points according to the position data of each of the monitoring points and the position data of the components to be detected inside the high-voltage switch cabinet, determine a plurality of spatial component monitoring points, and use the plurality of spatial component monitoring points to construct a spatial component monitoring area;

[0010] The analysis module is used to determine the target dynamic temperature threshold corresponding to each of the spatial element monitoring points according to each of the real-time environmental data and the historical temperature data corresponding to each of the spatial element monitoring points;

[0011] The comparison module is used to perform hot spot monitoring on the spatial element monitoring area based on the target dynamic temperature threshold corresponding to each of the spatial element monitoring points and each of the real-time temperature data, and output the number of hot spots corresponding to the spatial element monitoring area;

[0012] The early warning module is used to generate a high-voltage switch cabinet alarm result based on a comparison result of a preset number range and the number of hot spots corresponding to the spatial element monitoring area.

[0013] Optionally, the spatial component monitoring area includes a spatial monitoring area and a component monitoring area; the spatial component monitoring point includes a component monitoring point and a spatial monitoring point; and the identification module is specifically used to:

[0014] Calculating the monitoring point-to-component distance corresponding to each monitoring point according to the position data of each monitoring point and the position data of the component to be detected inside the high-voltage switch cabinet;

[0015] Respectively comparing the monitoring point element distance corresponding to each of the monitoring points with a preset distance threshold;

[0016] Taking any monitoring point corresponding to a monitoring point element distance less than the preset distance threshold as an element monitoring point;

[0017] Taking any monitoring point corresponding to a monitoring point element distance greater than or equal to the preset distance threshold as a spatial monitoring point;

[0018] Using a plurality of the component monitoring points to construct a component monitoring area;

[0019] A plurality of the space monitoring points are used to construct a space monitoring area.

[0020] Optionally, the analysis module is specifically used to:

[0021] Calculating the long-term average temperature corresponding to each of the spatial element monitoring points according to the historical temperature data of each of the spatial element monitoring points;

[0022] Using the historical temperature data of each of the spatial element monitoring points and the corresponding long-term average temperature, calculate the temperature standard deviation corresponding to each of the spatial element monitoring points;

[0023] Calculate the initial temperature threshold corresponding to each of the spatial element monitoring points by using the temperature standard deviation and the long-term average temperature corresponding to each of the spatial element monitoring points;

[0024] The initial temperature threshold corresponding to each of the spatial element monitoring points is dynamically adjusted, and the target dynamic temperature threshold corresponding to each of the spatial element monitoring points is output.

[0025] Optionally, the number of hot spots corresponding to the spatial component monitoring area includes the number of hot spots in the spatial monitoring area and the number of hot spots in the component monitoring area; the comparison module is specifically used to:

[0026] Calculating the component temperature difference between the real-time temperature data corresponding to each component monitoring point and the target dynamic temperature threshold;

[0027] The component monitoring point corresponding to any component temperature difference greater than zero is regarded as the component overheating point, and the number of the component overheating points is counted to determine the number of overheating points in the component monitoring area;

[0028] Calculating the spatial temperature difference between the real-time temperature data corresponding to each of the spatial monitoring points and the target dynamic temperature threshold;

[0029] The spatial monitoring point corresponding to any spatial temperature difference greater than zero is regarded as a spatial hotspot, and the number of the spatial hotspots is counted to determine the number of hotspots in the spatial monitoring area.

[0030] Optionally, the preset quantity range includes a first quantity range, a second quantity range and a third quantity range; the high-voltage switch cabinet alarm result includes a first component failure alarm, a second component failure alarm, a third component failure alarm, a first space failure alarm, a second space failure alarm, and a third space failure alarm; the early warning module is specifically used to:

[0031] Determining whether the number of hot spots in the component monitoring area or the number of hot spots in the space monitoring area is zero;

[0032] If the number of hot spots in the component monitoring area is zero, no component failure alarm is issued;

[0033] If the number of hot spots in the component monitoring area is not zero, determining whether the number of hot spots in the component monitoring area is within a first number range, a second number range, or a third number range;

[0034] When the number of hot spots in the component monitoring area is within the first number range, generating a first component failure alarm;

[0035] When the number of hot spots in the component monitoring area is within the second number range, generating a second component failure alarm;

[0036] When the number of hot spots in the component monitoring area is within the third number range, generating a third component failure alarm;

[0037] If the number of hot spots in the spatial monitoring area is zero, no spatial fault alarm is issued;

[0038] If the number of hot spots in the spatial monitoring area is not zero, determining whether the number of hot spots in the spatial monitoring area is within the first number range, the second number range, or the third number range;

[0039] When the number of hot spots in the spatial monitoring area is within the first number range, generating a first spatial fault alarm;

[0040] When the number of hot spots in the spatial monitoring area is within the second number range, generating a second spatial fault alarm;

[0041] When the number of hot spots in the spatial monitoring area is within the third number range, a third spatial fault alarm is generated.

[0042] A second aspect of the present invention provides a high-voltage switch cabinet fault monitoring method, which is applied to the high-voltage switch cabinet fault monitoring system described above, comprising:

[0043] Obtain real-time temperature data and real-time environmental data of each monitoring point inside the high-voltage switchgear;

[0044] Identify each of the monitoring points according to the position data of each of the monitoring points and the position data of the components to be detected inside the high-voltage switch cabinet, determine a plurality of spatial component monitoring points, and construct a spatial component monitoring area using the plurality of spatial component monitoring points;

[0045] Determine the target dynamic temperature threshold corresponding to each of the spatial element monitoring points according to each of the real-time environmental data and the historical temperature data corresponding to each of the spatial element monitoring points;

[0046] Based on the target dynamic temperature threshold corresponding to each of the spatial element monitoring points and each of the real-time temperature data, the spatial element monitoring area is monitored for hot spots, and the number of hot spots corresponding to the spatial element monitoring area is output;

[0047] A high-voltage switch cabinet alarm result is generated based on a comparison result between a preset number range and the number of hot spots corresponding to the spatial element monitoring area.

[0048] Optionally, the spatial component monitoring area includes a spatial monitoring area and a component monitoring area; the spatial component monitoring points include component monitoring points and spatial monitoring points; the identifying each monitoring point according to the position data of each monitoring point and the position data of the component to be detected inside the high-voltage switch cabinet, determining a plurality of spatial component monitoring points, and using the plurality of spatial component monitoring points to construct a spatial component monitoring area includes:

[0049] Calculating the monitoring point-to-component distance corresponding to each monitoring point according to the position data of each monitoring point and the position data of the component to be detected inside the high-voltage switch cabinet;

[0050] Respectively comparing the monitoring point element distance corresponding to each of the monitoring points with a preset distance threshold;

[0051] Taking any monitoring point corresponding to a monitoring point element distance less than the preset distance threshold as an element monitoring point;

[0052] Taking any monitoring point corresponding to a monitoring point element distance greater than or equal to the preset distance threshold as a spatial monitoring point;

[0053] Using a plurality of the component monitoring points to construct a component monitoring area;

[0054] A plurality of the space monitoring points are used to construct a space monitoring area.

[0055] A third aspect of the present invention provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the high-voltage switch cabinet fault monitoring method as described in any one of the above items.

[0056] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed, the steps of the high-voltage switch cabinet fault monitoring method as described in any one of the above items are implemented.

[0057] A fifth aspect of the present invention provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions, wherein when the program instructions are executed by a computer, the computer executes the steps of the high-voltage switchgear fault monitoring method as described in any one of the above items.

[0058] It can be seen from the above technical solutions that the present invention has the following advantages:

[0059] The first aspect of the above technical scheme of the present invention provides a high-voltage switch cabinet fault monitoring system, the system includes a monitoring module, an identification module, an analysis module, a comparison module, and an early warning module connected in sequence; the monitoring module includes multiple high-precision temperature sensors, each high-precision temperature sensor is set in one-to-one correspondence with each monitoring point inside the high-voltage switch cabinet, and each high-precision temperature sensor is connected to the identification module; the high-precision temperature sensor is used to obtain real-time temperature data and real-time environmental data of the corresponding monitoring point; the identification module is used to identify each monitoring point according to the position data of each monitoring point and the position data of the component to be detected inside the high-voltage switch cabinet, determine multiple spatial component monitoring points, and use multiple spatial component monitoring points to construct a spatial component monitoring area; the analysis module is used to determine the target dynamic temperature threshold corresponding to each spatial component monitoring point according to each real-time environmental data and the historical temperature data corresponding to each spatial component monitoring point; the comparison module is used to determine the target dynamic temperature threshold corresponding to each spatial component monitoring point based on the target dynamic temperature threshold corresponding to each spatial component monitoring point The spatial component monitoring area is monitored for over-hot spots based on the real-time temperature data, and the number of over-hot spots corresponding to the spatial component monitoring area is output; the early warning module is used to generate an alarm result for the high-voltage switchgear based on the comparison result of the preset number range and the number of over-hot spots corresponding to the spatial component monitoring area; based on the above scheme, the various monitoring points inside the high-voltage switchgear are identified by the identification module to obtain the spatial component monitoring area, and the spatial component monitoring area is monitored for over-hot spots based on the target dynamic temperature threshold and the real-time temperature data through the comparison module, and the number of over-hot spots corresponding to the spatial component monitoring area is output, and then the early warning module is used to generate an alarm result for the high-voltage switchgear based on the comparison result of the preset number range and the number of over-hot spots corresponding to the spatial component monitoring area. Compared with the traditional manual periodic inspection or monitoring by a simple temperature alarm device, the present invention can monitor the overheating fault of the high-voltage switchgear in real time, thereby issuing a warning in time, which greatly improves the monitoring effect.

[0060] The second aspect of the above technical solution of the present invention provides a high-voltage switch cabinet fault monitoring method, first, real-time temperature data and real-time environmental data of each monitoring point inside the high-voltage switch cabinet are obtained; then, each monitoring point is identified according to the position data of each monitoring point and the position data of the component to be detected inside the high-voltage switch cabinet, a plurality of spatial component monitoring points are determined, and a spatial component monitoring area is constructed using the plurality of spatial component monitoring points; the target dynamic temperature threshold corresponding to each spatial component monitoring point is determined according to each real-time environmental data and the historical temperature data corresponding to each spatial component monitoring point; the spatial component monitoring area is monitored for overheating points based on the target dynamic temperature threshold corresponding to each spatial component monitoring point and each real-time temperature data, and the number of overheating points corresponding to the spatial component monitoring area is output; finally, According to the comparison result of the preset number range and the number of overheat points corresponding to the spatial component monitoring area, the high-voltage switchgear alarm result is generated; based on the above scheme, each monitoring point inside the high-voltage switchgear is identified to obtain the spatial component monitoring area, and the spatial component monitoring area is monitored for overheat points according to the target dynamic temperature threshold and real-time temperature data, and the number of overheat points corresponding to the spatial component monitoring area is output, and finally, according to the comparison result of the preset number range and the number of overheat points corresponding to the spatial component monitoring area, the high-voltage switchgear alarm result is generated. Compared with the traditional manual periodic inspection or monitoring through a simple temperature alarm device, the present invention can monitor the overheating fault of the high-voltage switchgear in real time, thereby issuing a timely warning, which greatly improves the monitoring effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0062] Figure 1 A schematic diagram of the structure of a high-voltage switch cabinet fault monitoring system provided in Embodiment 1 of the present invention;

[0063] Figure 2 A flowchart of the steps of a high-voltage switch cabinet fault monitoring method provided in Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0064] The embodiment of the present invention provides a high-voltage switch cabinet fault monitoring system and method, which are used to solve the technical problem that the traditional high-voltage switch cabinet fault monitoring technology leads to unsatisfactory monitoring effect.

[0065] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below 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.

[0066] See also Figure 1 , Figure 1 A schematic structural diagram of a high-voltage switch cabinet fault monitoring system provided in Embodiment 1 of the present invention.

[0067] The present invention provides a high-voltage switch cabinet fault monitoring system, the system comprises a monitoring module, an identification module, an analysis module, a comparison module, and an early warning module connected in sequence;

[0068] The monitoring module includes a plurality of high-precision temperature sensors, each of which is arranged in one-to-one correspondence with each monitoring point inside the high-voltage switch cabinet, and each of which is connected to the identification module;

[0069] High-precision temperature sensors are used to obtain real-time temperature data and real-time environmental data of corresponding monitoring points;

[0070] It should be noted that according to the design of the high-voltage switchgear and the requirements of fault detection, multiple monitoring points are set inside the high-voltage switchgear, and a high-precision temperature sensor is correspondingly arranged at each monitoring point. The high-precision temperature sensor is used to monitor the temperature inside the high-voltage switchgear in real time and obtain real-time environmental data of the high-voltage switchgear. At the same time, the present invention is also provided with a data storage library, which is used to store the historical temperature data of the high-voltage switchgear in all high-precision temperature sensors, that is, the historical temperature data at the corresponding monitoring points of the high-precision temperature sensors.

[0071] The identification module is used to identify each monitoring point according to the position data of each monitoring point and the position data of the component to be detected inside the high-voltage switch cabinet, determine multiple spatial component monitoring points, and use the multiple spatial component monitoring points to construct a spatial component monitoring area;

[0072] It should be noted that the identification module is used to identify multiple monitoring points inside the high-voltage switchgear, and obtain component monitoring points and space monitoring points, and combine all component monitoring points into component monitoring areas, and combine all space monitoring points into space monitoring areas;

[0073] It is worth mentioning that the components to be detected can be selected according to the design of the high-voltage switchgear and the requirements of fault detection. Usually, the components to be detected are the key and fault-sensitive parts of the high-voltage switchgear, such as circuit breakers, disconnectors, grounding switches, current transformers, voltage transformers, etc. Selecting these components as reference points for distance calculation can more effectively monitor and identify faults.

[0074] The analysis module is used to determine the target dynamic temperature threshold corresponding to each spatial component monitoring point according to each real-time environmental data and the historical temperature data corresponding to each spatial component monitoring point;

[0075] It should be noted that the analysis model can obtain the historical temperature data of the high-voltage switchgear in the data repository, that is, the historical temperature data corresponding to each spatial component monitoring point, and analyze the historical temperature data to obtain the initial temperature threshold. Then, according to the real-time temperature data and real-time environmental data of the high-voltage switchgear, the temperature threshold is dynamically adjusted to obtain the target dynamic temperature threshold to reduce false alarms and missed alarms.

[0076] The comparison module is used to monitor the hot spots in the spatial component monitoring area based on the target dynamic temperature threshold corresponding to each spatial component monitoring point and each real-time temperature data, and output the number of hot spots corresponding to the spatial component monitoring area;

[0077] It should be noted that the comparison module is used to compare the real-time temperature corresponding to the spatial component monitoring point with the target dynamic temperature threshold. If it exceeds the target dynamic temperature threshold, it is marked as a hotspot, and the number of hotspots is counted, and the number of hotspots corresponding to the spatial component monitoring area is output.

[0078] The early warning module is used to generate a high-voltage switch cabinet alarm result based on the comparison result of the preset quantity range and the number of hot spots corresponding to the spatial component monitoring area.

[0079] It should be noted that the early warning module is used to issue different alarms according to the number of hot spots in the component monitoring area and the space monitoring area.

[0080] As a further improvement, the spatial component monitoring area includes a spatial monitoring area and a component monitoring area; the spatial component monitoring point includes a component monitoring point and a spatial monitoring point; the identification module is specifically used for:

[0081] Calculate the monitoring point element distance corresponding to each monitoring point according to the position data of each monitoring point and the position data of the component to be detected inside the high-voltage switch cabinet;

[0082] Compare the monitoring point element distance corresponding to each monitoring point with the preset distance threshold respectively;

[0083] The monitoring point corresponding to any monitoring point element distance less than a preset distance threshold is taken as the element monitoring point;

[0084] The monitoring point corresponding to any monitoring point element distance greater than or equal to a preset distance threshold is taken as a spatial monitoring point;

[0085] Use multiple component monitoring points to construct a component monitoring area;

[0086] A spatial monitoring area is constructed using multiple spatial monitoring points.

[0087] The location data of the monitoring point includes the horizontal coordinate position of the monitoring point and the vertical coordinate position of the monitoring point.

[0088] The position data of the component to be detected includes the horizontal coordinate position of the component and the vertical coordinate position of the component.

[0089] It should be noted that for each monitoring point n, the distance between it and the element to be detected is calculated:

[0090] ;

[0091] in, is the monitoring point element distance corresponding to the i-th monitoring point, and the monitoring point element distance represents the distance between the monitoring point and the element to be detected; is the horizontal coordinate position of the monitoring point of the i-th monitoring point; is the horizontal coordinate position of the component; is the ordinate position of the monitoring point of the i-th monitoring point; is the vertical coordinate position of the component.

[0092] Furthermore, based on the preset distance threshold d thld :

[0093] If d i <d thld , then mark the monitoring point as component monitoring point n y ;

[0094] If d i ≥d thld , then mark the monitoring point as spatial monitoring point n k ;

[0095] Monitor all the marked components at point n y and all spatial monitoring points n k Combine them separately, that is, all the y The monitoring points are combined into a component monitoring area, and all the monitoring points belonging to n k The monitoring points are combined into a space monitoring area, thereby obtaining a component monitoring area and a space monitoring area.

[0096] As a further improvement, the analysis module is specifically used for:

[0097] According to the historical temperature data of each space component monitoring point, the long-term average temperature corresponding to each space component monitoring point is calculated;

[0098] The historical temperature data and the corresponding long-term average temperature of each spatial component monitoring point are used to calculate the temperature standard deviation corresponding to each spatial component monitoring point;

[0099] The initial temperature threshold corresponding to each spatial component monitoring point is calculated by using the temperature standard deviation and the long-term average temperature corresponding to each spatial component monitoring point;

[0100] The initial temperature threshold corresponding to each spatial component monitoring point is dynamically adjusted, and the target dynamic temperature threshold corresponding to each spatial component monitoring point is output.

[0101] It should be noted that for each component monitoring point and space monitoring point, the long-term average temperature and temperature standard deviation are calculated:

[0102] ;

[0103] in, is the long-term average temperature of the i-th spatial component monitoring point, including the long-term average temperature of the spatial monitoring point and the long-term average temperature of the component monitoring point; N is the number of historical temperature data points; It is the historical temperature reading (historical temperature data) of the i-th spatial component monitoring point at time t, including the historical temperature data of the spatial monitoring point at time t and the historical temperature data of the component monitoring point at time t.

[0104] ;

[0105] in, is the temperature standard deviation of the i-th spatial component monitoring point, including the temperature standard deviation of the spatial monitoring point and the temperature standard deviation of the component monitoring point; N is the number of historical temperature data points; is the historical temperature reading (historical temperature data) of the i-th spatial component monitoring point at time t, including the historical temperature data of the spatial monitoring point at time t and the historical temperature data of the component monitoring point at time t; is the long-term average temperature of the monitoring point of the i-th spatial element.

[0106] Furthermore, for the calculation of the initial temperature threshold:

[0107] ;

[0108] in, is the initial temperature threshold of the i-th spatial component monitoring point, including the initial temperature threshold of the spatial monitoring point and the initial temperature threshold of the component monitoring point; is the temperature standard deviation of the i-th spatial component monitoring point, including the temperature standard deviation of the spatial monitoring point and the temperature standard deviation of the component monitoring point; k is a constant factor used to determine the distance between the temperature threshold and the average value; is the long-term average temperature of the i-th spatial component monitoring point, including the long-term average temperature of the spatial monitoring point and the long-term average temperature of the component monitoring point.

[0109] Furthermore, regarding the dynamic adjustment of the initial temperature threshold, specifically:

[0110] For each spatial component monitoring point, the environmental data change corresponding to each spatial component monitoring point is calculated according to its real-time environmental data. This process can be expressed as:

[0111] ;

[0112] in, is the change in environmental data, indicating the change in real-time environmental temperature and humidity (real-time environmental data) from time t-1 to time t; is the real-time environmental data at time t; is the real-time environmental data at time t-1.

[0113] Furthermore, in order to reflect the trend of temperature change, a trend factor is established , and the trend factor Perform the calculation:

[0114] ;

[0115] in, is the temperature reading (real-time temperature data) of the i-th spatial component monitoring point at time t, including the temperature reading (real-time temperature data) of the spatial monitoring point at time t and the temperature reading (real-time temperature data) of the component monitoring point at time t; is the long-term average temperature of the i-th space component monitoring point, including the long-term average temperature of the space monitoring point and the long-term average temperature of the component monitoring point; m is used to calculate The length of the time window; The current time point.

[0116] Furthermore, for the calculation of the target dynamic temperature threshold:

[0117] ;

[0118] in, is the target dynamic temperature threshold corresponding to the i-th spatial component monitoring point, including the target dynamic temperature threshold corresponding to the spatial monitoring point and the target dynamic temperature threshold corresponding to the component monitoring point; is the adjustment factor.

[0119] Further, according to Adjustment ,as follows:

[0120] if >0, use As the adjustment factor, >1;

[0121] if <0, use As the adjustment factor, <1;

[0122] if =0, then The value of remains unchanged, that is =1.

[0123] As a further improvement, the number of hot spots corresponding to the spatial component monitoring area includes the number of hot spots in the spatial monitoring area and the number of hot spots in the component monitoring area; the comparison module is specifically used for:

[0124] Calculate the component temperature difference between the real-time temperature data corresponding to each component monitoring point and the target dynamic temperature threshold;

[0125] The component monitoring point corresponding to any component temperature difference greater than zero is regarded as the component overheating point, and the number of component overheating points is counted to determine the number of overheating points in the component monitoring area;

[0126] Calculate the spatial temperature difference between the real-time temperature data corresponding to each spatial monitoring point and the target dynamic temperature threshold;

[0127] The spatial monitoring point corresponding to any spatial temperature difference greater than zero is regarded as a spatial hotspot, and the number of spatial hotspots is counted to determine the number of hotspots in the spatial monitoring area.

[0128] It should be noted that for each spatial component monitoring point, the temperature difference between the corresponding real-time temperature data and the target dynamic temperature threshold is calculated:

[0129] ;

[0130] in, is the temperature difference of the i-th spatial element monitoring point at time t, including the element temperature difference and the spatial temperature difference; is the temperature reading (real-time temperature data) of the i-th spatial component monitoring point at time t, including the temperature reading (real-time temperature data) of the spatial monitoring point at time t and the temperature reading (real-time temperature data) of the component monitoring point at time t; is the target dynamic temperature threshold corresponding to the i-th spatial component monitoring point at time t, including the target dynamic temperature threshold corresponding to the spatial monitoring point at time t and the target dynamic temperature threshold corresponding to the component monitoring point at time t.

[0131] Determine whether the monitoring point of the space component is overheated:

[0132] ;

[0133] in, is a Boolean variable indicating whether the monitoring point of the i-th spatial element is marked as an overheating point at time t, 1 indicates overheating and 0 indicates normal; is the temperature difference of the i-th spatial element monitoring point at time t, including the element temperature difference and the spatial temperature difference.

[0134] It is worth mentioning that if the monitoring point of the spatial element is an overheat point, a continuous monitoring instruction corresponding to each overheat point is generated through the comparison module. The high-precision temperature sensor corresponding to the overheat point responds to the continuous monitoring instruction and collects multiple monitoring temperature data corresponding to the overheat point according to the set duration. The comparison module realizes continuous monitoring of the overheat point based on the monitoring temperature data and the collection time corresponding to the monitoring temperature data, thereby obtaining the information of the overheat point, which includes the temperature change trend of the overheat point and the overheating duration.

[0135] Furthermore, hot spots are continuously monitored:

[0136] Overheating duration:

[0137] ;

[0138] in, is the overheating duration of the i-th hotspot (component hotspot and spatial hotspot) at time t; is the i-th hot spot at time Duration of overheating; To monitor the frequency.

[0139] Furthermore, for the temperature change trend:

[0140] ;

[0141] in, is the temperature variation trend of the i-th hot spot at time t; is the temperature reading of the ith hotspot at time t (monitoring temperature data); is the i-th hot spot from time The average temperature within time t; The length of the time window for calculating the temperature trend, expressed in monitoring frequencies.

[0142] Optionally, the system further comprises a display module, which is connected to the early warning module;

[0143] It should be noted that the display module is used to display the hot spot information and the high-voltage switch cabinet alarm results through the display screen so that the staff can obtain the information in time after seeing the alarm.

[0144] As a further improvement, the preset quantity range includes a first quantity range, a second quantity range and a third quantity range; the high-voltage switch cabinet alarm result includes a first component fault alarm, a second component fault alarm, a third component fault alarm, a first space fault alarm, a second space fault alarm, and a third space fault alarm; the early warning module is specifically used to:

[0145] Determine whether the number of hot spots in the component monitoring area or the number of hot spots in the space monitoring area is zero;

[0146] If the number of hot spots in the component monitoring area is zero, no component failure alarm is issued;

[0147] If the number of hot spots in the component monitoring area is not zero, determining whether the number of hot spots in the component monitoring area is within a first number range, a second number range, or a third number range;

[0148] When the number of hot spots in the component monitoring area is within a first number range, generating a first component failure alarm;

[0149] When the number of hot spots in the component monitoring area is within a second number range, generating a second component failure alarm;

[0150] When the number of hot spots in the component monitoring area is within a third number range, a third component failure alarm is generated;

[0151] If the number of hot spots in the space monitoring area is zero, no space fault alarm will be issued;

[0152] If the number of hot spots in the spatial monitoring area is not zero, determining whether the number of hot spots in the spatial monitoring area is within a first number range, a second number range, or a third number range;

[0153] When the number of hot spots in the spatial monitoring area is within a first number range, a first spatial fault alarm is generated;

[0154] When the number of hot spots in the spatial monitoring area is within a second number range, a second spatial fault alarm is generated;

[0155] When the number of hot spots in the spatial monitoring area is within a third number range, a third spatial fault alarm is generated.

[0156] It should be noted that the thresholds for the number of hot spots are set as q 1c ,q 2c ,q 3c ; The first quantity range is 0 i 1c ; The second quantity range is q 1c i 2c ; The third quantity range is q 2c i 3c .

[0157] Furthermore, the fault determination based on the number of hot spots in the component monitoring area is:

[0158] If the number of hot spots in the component monitoring area is q i =0, it is determined that there is no hot spot and no alarm is issued;

[0159] If the number of hot spots in the component monitoring area is 0 i 1c , it is determined to be a small number of hot spots, and a first-level component failure alarm (first component failure alarm) is issued, and the words "first-level component failure alarm" appear on the display and flash intermittently;

[0160] If the number of hot spots in the component monitoring area is q 1c i 2c , it is determined that there are too many hot spots, and a secondary component failure alarm (second component failure alarm) is issued, and the words "secondary component failure alarm" appear on the display and continue to flash;

[0161] If the number of hot spots in the component monitoring area is q 2c i 3c , it is determined that there are a large number of hot spots, and a third-level component failure alarm (third component failure alarm) is issued. The text "Third-level component failure alarm" appears on the display and stays on.

[0162] Furthermore, the fault determination based on the number of hot spots in the spatial monitoring area is:

[0163] If the number of hot spots in the spatial monitoring area is q i =0, it is determined that there is no hot spot and no alarm is issued;

[0164] ​​​​​​​​​​​​If the number of hot spots in the spatial monitoring area is 0 i 1c , it is determined to be a small number of hot spots, and a first-level space failure alarm (first space failure alarm) is issued, and the text "first-level space failure alarm" appears on the display screen and flashes intermittently;

[0165] If the number of hot spots in the spatial monitoring area is q 1c i 2c , it is determined that there are too many hot spots, and a secondary space fault alarm (second space fault alarm) is issued, and the words "secondary space fault alarm" appear on the display screen and continue to flash;

[0166] If the number of hot spots in the spatial monitoring area is q 2c i 3c , it is determined that there are a large number of hot spots, and a third-level space fault alarm (third space fault alarm) is issued. The text "Third-level Space Fault Alarm" appears on the display and stays on.

[0167] In this embodiment, the application performs real-time monitoring of the high-voltage switch cabinet and divides the monitored area into two parts: components and space. This facilitates timely warnings after an overheating failure occurs in the high-voltage switch cabinet in the later stage, and allows staff to promptly understand whether the component is overheating or the internal space of the high-voltage switch cabinet is overheating, so that they can respond and process in a timely manner, realize continuous monitoring and analysis, and can accurately identify the conditions of different monitoring points from a large range of monitoring, with high monitoring accuracy.

[0168] As a comparison of technical effects, it can be combined with existing technologies for reference. High-voltage switchgear is an electrical equipment that opens and closes, controls and protects electrical equipment in the process of power generation, transmission, distribution and power conversion in the power system. It is widely used in power plants, substations and distribution rooms in the power system. Generally speaking, high-voltage switchgear is mainly composed of circuit breakers, disconnectors, load switches, operating mechanisms, mutual inductors and various protective devices. These electronic components and mechanical operating mechanisms are often faced with complex electromagnetic field distribution, frequent spark discharge and arc extinguishing problems during use, making each component prone to partial discharge or even aging breakdown. Especially when the high-order harmonic electromagnetic field is strong, the electromagnetic environment of the high-voltage switchgear is more complex, the mechanical transmission characteristics of the switch segment operating mechanism change, and fault detection inside the high-voltage switchgear under the high-order harmonic electromagnetic field is particularly necessary.

[0169] ​​​​​​Due to the large size and extremely complex structure of high-voltage switchgear, which contains numerous mechanical and electrical structures, the existing high-voltage switchgear may cause internal component overheating, partial discharge, mechanical operating mechanism abnormalities, excessive harmonic content affecting disconnection and other problems during long-term operation due to various reasons, which may lead to equipment failure or even safety accidents. Traditional monitoring methods often rely on manual regular inspections or simple temperature alarm devices, which cannot achieve continuous monitoring and intelligent analysis, and therefore it is difficult to detect potential overheating problems in a timely manner.

[0170] Therefore, in view of the current problems of high degree of manual intervention in high-voltage switchgear fault detection, difficulty in detection in narrow spaces, and unclear comparison with historical fault and operation data, a new high-voltage switchgear fault detection system based on big data analysis is designed, which has engineering application value for improving the fault detection capability of high-voltage switchgear.

[0171] In view of the above problems, the present invention provides a high-voltage switch cabinet fault monitoring system, the system includes a monitoring module, an identification module, an analysis module, a comparison module, an early warning module, and a display module connected in sequence; wherein the monitoring module uses a plurality of high-precision temperature sensors to monitor the temperature inside the high-voltage switch cabinet in real time, and sets the monitoring position to a plurality of monitoring points, thereby ensuring the comprehensiveness and accuracy of data collection; in addition, the system can also obtain historical temperature data and real-time environmental data of the high-voltage switch cabinet, thereby more accurately evaluating the working state of the high-voltage switch cabinet; the identification module can intelligently distinguish between component monitoring points and space monitoring points, and further combine them into component monitoring areas and space monitoring areas, thereby realizing effective monitoring of different parts inside the high-voltage switch cabinet; the analysis module can obtain a reasonable temperature threshold through in-depth analysis of the historical temperature data, and dynamically adjust the threshold according to the real-time environmental data, thereby effectively reducing the situation of false alarms and missed alarms, The reliability and stability of the system are improved. The early warning module issues different levels of alarms based on the number of overheating points in the component monitoring area and the space monitoring area, ensuring that the staff can be reminded at the early stage of the fault and then take corresponding handling measures. At the same time, after receiving the early warning information, the temperature change trend of the overheating point and the duration of overheating can be observed through the display screen of the display module, so that relevant information can be timely understood and responded to in a timely manner, which greatly improves the efficiency of fault handling. This application monitors the high-voltage switchgear in real time and divides the monitored area into two parts: components and space. This is convenient for timely warnings after an overheating fault occurs in the high-voltage switchgear in the later stage, and allows the staff to promptly understand whether the component is overheating or the internal space of the high-voltage switchgear is overheating, so that they can respond and handle it in a timely manner. Continuous monitoring and analysis can be achieved, and different monitoring point conditions can be accurately identified from a large range of monitoring, with high monitoring accuracy.

[0172] At the same time, the present invention can also effectively use statistical methods to conduct preliminary analysis of data, extract key features that affect the operating status of the switch cabinet, classify and identify normal status and fault status, and predict the time and probability of potential faults. At the same time, through real-time data analysis, it can detect whether the switch cabinet is in an abnormal state, determine the specific location and components of the fault, and improve the fault detection and fault analysis capabilities of the high-voltage switch cabinet of the power system.

[0173] In an embodiment of the present invention, the present invention provides a high-voltage switch cabinet fault monitoring system, the system includes a monitoring module, an identification module, an analysis module, a comparison module, and an early warning module connected in sequence; the monitoring module includes multiple high-precision temperature sensors, each high-precision temperature sensor is set in one-to-one correspondence with each monitoring point inside the high-voltage switch cabinet, and each high-precision temperature sensor is connected to the identification module; the high-precision temperature sensor is used to obtain real-time temperature data and real-time environmental data of the corresponding monitoring point; the identification module is used to identify each monitoring point according to the position data of each monitoring point and the position data of the component to be detected inside the high-voltage switch cabinet, determine multiple spatial component monitoring points, and use multiple spatial component monitoring points to construct a spatial component monitoring area; the analysis module is used to determine the target dynamic temperature threshold corresponding to each spatial component monitoring point based on each real-time environmental data and the historical temperature data corresponding to each spatial component monitoring point; the comparison module is used to determine the target dynamic temperature threshold corresponding to each spatial component monitoring point based on the target dynamic temperature threshold corresponding to each spatial component monitoring point and Each real-time temperature data monitors the spatial component monitoring area for over-hot spots, and outputs the number of over-hot spots corresponding to the spatial component monitoring area; the early warning module is used to generate a high-voltage switch cabinet alarm result based on a comparison result of a preset number range and the number of over-hot spots corresponding to the spatial component monitoring area; based on the above scheme, the identification module is used to identify each monitoring point inside the high-voltage switch cabinet to obtain the spatial component monitoring area, and the comparison module is used to monitor the spatial component monitoring area for over-hot spots based on the target dynamic temperature threshold and the real-time temperature data, and the number of over-hot spots corresponding to the spatial component monitoring area is output, and then the early warning module is used to generate a high-voltage switch cabinet alarm result based on a comparison result of the preset number range and the number of over-hot spots corresponding to the spatial component monitoring area. Compared with the traditional manual periodic inspection or monitoring by a simple temperature alarm device, the present invention can monitor the overheating fault of the high-voltage switch cabinet in real time, thereby issuing a warning in time, which greatly improves the monitoring effect.

[0174] See also Figure 2 , Figure 2 A flowchart of the steps of a high-voltage switch cabinet fault monitoring method provided in Embodiment 2 of the present invention.

[0175] A high-voltage switch cabinet fault monitoring method provided by the present invention is applied to the above-mentioned high-voltage switch cabinet fault monitoring system, comprising:

[0176] Step 201: Acquire real-time temperature data and real-time environmental data of each monitoring point inside the high-voltage switch cabinet.

[0177] Step 202: Identify each monitoring point according to the position data of each monitoring point and the position data of the component to be detected inside the high-voltage switch cabinet, determine multiple spatial component monitoring points, and use the multiple spatial component monitoring points to construct a spatial component monitoring area.

[0178] The space component monitoring area includes the space monitoring area and the component monitoring area; the space component monitoring point includes the component monitoring point and the space monitoring point;

[0179] Further, step 202 may include the following sub-steps S21-S26:

[0180] Step S21, calculating the monitoring point-to-component distance corresponding to each monitoring point according to the position data of each monitoring point and the position data of the component to be detected inside the high-voltage switch cabinet;

[0181] Step S22, respectively comparing the monitoring point element distance corresponding to each monitoring point with a preset distance threshold;

[0182] Step S23, taking any monitoring point corresponding to a monitoring point component distance less than a preset distance threshold as a component monitoring point;

[0183] Step S24, taking any monitoring point corresponding to a monitoring point element distance greater than or equal to a preset distance threshold as a spatial monitoring point;

[0184] Step S25, constructing a component monitoring area using multiple component monitoring points;

[0185] Step S26: Use multiple spatial monitoring points to construct a spatial monitoring area.

[0186] Step 203: Determine the target dynamic temperature threshold corresponding to each spatial component monitoring point based on each real-time environmental data and the historical temperature data corresponding to each spatial component monitoring point.

[0187] Step 204 , based on the target dynamic temperature threshold corresponding to each spatial component monitoring point and each real-time temperature data, the spatial component monitoring area is monitored for hot spots, and the number of hot spots corresponding to the spatial component monitoring area is output.

[0188] Step 205: Generate a high-voltage switch cabinet alarm result based on a comparison result between the preset number range and the number of hot spots corresponding to the spatial component monitoring area.

[0189] In an embodiment of the present invention, the present invention provides a method for monitoring faults in a high-voltage switch cabinet. First, real-time temperature data and real-time environmental data of each monitoring point inside the high-voltage switch cabinet are obtained; then, each monitoring point is identified according to the position data of each monitoring point and the position data of the component to be detected inside the high-voltage switch cabinet, a plurality of spatial component monitoring points are determined, and a spatial component monitoring area is constructed using the plurality of spatial component monitoring points; a target dynamic temperature threshold corresponding to each spatial component monitoring point is determined according to each real-time environmental data and the historical temperature data corresponding to each spatial component monitoring point; hot spot monitoring is performed on the spatial component monitoring area based on the target dynamic temperature threshold corresponding to each spatial component monitoring point and each real-time temperature data, and the number of hot spots corresponding to the spatial component monitoring area is output; finally, based on According to the comparison result of the preset number range and the number of overheat points corresponding to the spatial component monitoring area, a high-voltage switchgear alarm result is generated; based on the above scheme, each monitoring point inside the high-voltage switchgear is identified to obtain the spatial component monitoring area, and the spatial component monitoring area is monitored for overheat points according to the target dynamic temperature threshold and real-time temperature data, and the number of overheat points corresponding to the spatial component monitoring area is output, and finally, according to the comparison result of the preset number range and the number of overheat points corresponding to the spatial component monitoring area, a process of generating a high-voltage switchgear alarm result is generated. Compared with the traditional manual periodic inspection or monitoring through a simple temperature alarm device, the present invention can monitor the overheating fault of the high-voltage switchgear in real time, thereby issuing a timely warning, which greatly improves the monitoring effect.

[0190] An embodiment of the present invention further provides a computer device, including a memory and a processor, wherein a computer program is stored in the memory; when the computer program is executed by the processor, the processor executes the steps of the high-voltage switch cabinet fault monitoring method of the above-mentioned embodiment 2.

[0191] An embodiment of the present invention further provides a computer-readable storage medium on which a computer program / instruction is stored. When the computer program / instruction is executed by a processor, the steps of the high-voltage switch cabinet fault monitoring method as described in the above-mentioned embodiment 2 are implemented.

[0192] An embodiment of the present invention further provides a computer program product, including a computer program / instruction, which implements the steps of the high-voltage switch cabinet fault monitoring method of the above-mentioned embodiment 2 when the computer program / instruction is executed by a processor.

[0193] In the several embodiments provided in the present application, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0194] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0195] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A high voltage switch cabinet fault monitoring system, characterized in that: The system includes a monitoring module, an identification module, an analysis module, a comparison module, and an early warning module connected in sequence; The monitoring module includes a plurality of high-precision temperature sensors, each of which is arranged in one-to-one correspondence with each monitoring point inside the high-voltage switch cabinet, and each of which is connected to the identification module; The high-precision temperature sensor is used to obtain real-time temperature data and real-time environmental data of the corresponding monitoring point; The identification module is used to identify each of the monitoring points according to the position data of each of the monitoring points and the position data of the components to be detected inside the high-voltage switch cabinet, determine a plurality of spatial component monitoring points, and use the plurality of spatial component monitoring points to construct a spatial component monitoring area; The analysis module is used to determine the target dynamic temperature threshold corresponding to each of the spatial element monitoring points according to each of the real-time environmental data and the historical temperature data corresponding to each of the spatial element monitoring points; The comparison module is used to perform hot spot monitoring on the spatial element monitoring area based on the target dynamic temperature threshold corresponding to each of the spatial element monitoring points and each of the real-time temperature data, and output the number of hot spots corresponding to the spatial element monitoring area; The early warning module is used to generate a high-voltage switch cabinet alarm result based on a comparison result of a preset number range and the number of hot spots corresponding to the spatial element monitoring area.

2. The high-voltage switch cabinet fault monitoring system according to claim 1 is characterized in that: The spatial component monitoring area includes a spatial monitoring area and a component monitoring area; the spatial component monitoring point includes a component monitoring point and a spatial monitoring point; the identification module is specifically used to: Calculating the monitoring point-to-component distance corresponding to each monitoring point according to the position data of each monitoring point and the position data of the component to be detected inside the high-voltage switch cabinet; Respectively comparing the monitoring point element distance corresponding to each of the monitoring points with a preset distance threshold; Taking any monitoring point corresponding to a monitoring point element distance less than the preset distance threshold as an element monitoring point; Taking any monitoring point corresponding to a monitoring point element distance greater than or equal to the preset distance threshold as a spatial monitoring point; Using a plurality of the component monitoring points to construct a component monitoring area; A plurality of the space monitoring points are used to construct a space monitoring area.

3. The high-voltage switch cabinet fault monitoring system according to claim 1 is characterized in that: The analysis module is specifically used for: Calculating the long-term average temperature corresponding to each of the spatial element monitoring points according to the historical temperature data of each of the spatial element monitoring points; Using the historical temperature data of each of the spatial element monitoring points and the corresponding long-term average temperature, calculate the temperature standard deviation corresponding to each of the spatial element monitoring points; Calculate the initial temperature threshold corresponding to each of the spatial element monitoring points by using the temperature standard deviation and the long-term average temperature corresponding to each of the spatial element monitoring points; The initial temperature threshold corresponding to each of the spatial element monitoring points is dynamically adjusted, and the target dynamic temperature threshold corresponding to each of the spatial element monitoring points is output.

4. The high-voltage switch cabinet fault monitoring system according to claim 2, characterized in that: The number of hot spots corresponding to the spatial component monitoring area includes the number of hot spots in the spatial monitoring area and the number of hot spots in the component monitoring area; the comparison module is specifically used to: Calculating the component temperature difference between the real-time temperature data corresponding to each component monitoring point and the target dynamic temperature threshold; The component monitoring point corresponding to any component temperature difference greater than zero is regarded as the component overheating point, and the number of the component overheating points is counted to determine the number of overheating points in the component monitoring area; Calculating the spatial temperature difference between the real-time temperature data corresponding to each of the spatial monitoring points and the target dynamic temperature threshold; The spatial monitoring point corresponding to any spatial temperature difference greater than zero is regarded as a spatial hotspot, and the number of the spatial hotspots is counted to determine the number of hotspots in the spatial monitoring area.

5. The high-voltage switch cabinet fault monitoring system according to claim 4 is characterized in that: The preset quantity range includes a first quantity range, a second quantity range and a third quantity range; the high-voltage switch cabinet alarm result includes a first component failure alarm, a second component failure alarm, a third component failure alarm, a first space failure alarm, a second space failure alarm, and a third space failure alarm; the early warning module is specifically used to: Determining whether the number of hot spots in the component monitoring area or the number of hot spots in the space monitoring area is zero; If the number of hot spots in the component monitoring area is zero, no component failure alarm is issued; If the number of hot spots in the component monitoring area is not zero, determining whether the number of hot spots in the component monitoring area is within a first number range, a second number range, or a third number range; When the number of hot spots in the component monitoring area is within the first number range, generating a first component failure alarm; When the number of hot spots in the component monitoring area is within the second number range, generating a second component failure alarm; When the number of hot spots in the component monitoring area is within the third number range, generating a third component failure alarm; If the number of hot spots in the spatial monitoring area is zero, no spatial fault alarm is issued; If the number of hot spots in the spatial monitoring area is not zero, determining whether the number of hot spots in the spatial monitoring area is within the first number range, the second number range, or the third number range; When the number of hot spots in the spatial monitoring area is within the first number range, generating a first spatial fault alarm; When the number of hot spots in the spatial monitoring area is within the second number range, generating a second spatial fault alarm; When the number of hot spots in the spatial monitoring area is within the third number range, a third spatial fault alarm is generated.

6. A method for monitoring faults in a high-voltage switch cabinet, characterized in that: Applied to the high-voltage switch cabinet fault monitoring system according to claim 1, the method comprises: Obtain real-time temperature data and real-time environmental data of each monitoring point inside the high-voltage switchgear; Identify each of the monitoring points according to the position data of each of the monitoring points and the position data of the components to be detected inside the high-voltage switch cabinet, determine a plurality of spatial component monitoring points, and construct a spatial component monitoring area using the plurality of spatial component monitoring points; Determine the target dynamic temperature threshold corresponding to each of the spatial element monitoring points according to each of the real-time environmental data and the historical temperature data corresponding to each of the spatial element monitoring points; Based on the target dynamic temperature threshold corresponding to each of the spatial element monitoring points and each of the real-time temperature data, the spatial element monitoring area is monitored for hot spots, and the number of hot spots corresponding to the spatial element monitoring area is output; A high-voltage switch cabinet alarm result is generated based on a comparison result between a preset number range and the number of hot spots corresponding to the spatial element monitoring area.

7. The high-voltage switch cabinet fault monitoring method according to claim 6, characterized in that: The spatial component monitoring area includes a spatial monitoring area and a component monitoring area; the spatial component monitoring points include component monitoring points and spatial monitoring points; the identifying of each monitoring point according to the position data of each monitoring point and the position data of the component to be detected inside the high-voltage switch cabinet, determining a plurality of spatial component monitoring points, and using the plurality of spatial component monitoring points to construct a spatial component monitoring area, includes: Calculating the monitoring point-to-component distance corresponding to each monitoring point according to the position data of each monitoring point and the position data of the component to be detected inside the high-voltage switch cabinet; Respectively comparing the monitoring point element distance corresponding to each of the monitoring points with a preset distance threshold; Taking any monitoring point corresponding to a monitoring point element distance less than the preset distance threshold as an element monitoring point; Taking any monitoring point corresponding to a monitoring point element distance greater than or equal to the preset distance threshold as a spatial monitoring point; Using a plurality of the component monitoring points to construct a component monitoring area; A plurality of the space monitoring points are used to construct a space monitoring area.

8. A computer device, characterized in that: It comprises a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the high-voltage switch cabinet fault monitoring method as described in any one of claims 6-7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed, the high-voltage switch cabinet fault monitoring method as described in any one of claims 6 to 7 is implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program stored on a non-transitory computer-readable storage medium, wherein the computer program comprises program instructions, wherein when the program instructions are executed by a computer, the computer is caused to execute the high-voltage switchgear fault monitoring method as described in any one of claims 6-7.

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