High-voltage switchgear safety status assessment system and method based on artificial intelligence

Abstract

The present invention discloses a high-voltage switch cabinet safety state assessment system and method based on artificial intelligence, which relates to the field of electric power engineering technology, and includes: a valve state monitoring module, a chassis vehicle working state analysis module, a switch cabinet internal environment monitoring module, a closing condition verification module and a switch cabinet database. The present invention monitors the working state of the valve to ensure that the chassis vehicle can be moved only when the valve is open and in a normal state, effectively preventing the risk of three-phase short circuit caused by forcibly moving the circuit breaker when the valve is not lifted, and analyzing the operating state of the chassis vehicle at the same time, comprehensively evaluating whether there are abnormal conditions such as stuck in the operation of the chassis vehicle by combining various data, ensuring the stable operation of the equipment, and finally judging whether to close the switch according to the safety state assessment result and the position of the chassis vehicle, thereby improving the safety of the closing operation. The present invention can comprehensively and accurately assess the safety state of the high-voltage switch cabinet and effectively prevent the occurrence of faults and accidents.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power engineering, and in particular to a high-voltage switch cabinet safety status assessment system and method based on artificial intelligence. Background Art

[0002] High-voltage switchgear is an important device used to control and protect high-voltage circuits in power systems. They play a vital role in power transmission, distribution and substations. As power systems continue to expand and become more complex, the safety and reliability requirements for high-voltage switchgear are becoming higher and higher. Effective monitoring and diagnostic technologies can help detect and prevent potential faults in a timely manner, thereby avoiding power outages and equipment damage and ensuring the stable operation of the power grid.

[0003] For example, the invention patent with announcement number CN110806516B is a switch cabinet chassis vehicle working status detection method, device and computer-readable medium, which relates to the field of power engineering technology. The switch cabinet chassis vehicle working status detection method includes: collecting operating current data of a target motor, wherein the target motor is used to drive a chassis vehicle in a switch cabinet to operate, and the operating current data is used to characterize the input current of the target motor during the process of driving the chassis vehicle to operate; determining the operating status of the chassis vehicle according to the operating current data and standard current data, wherein the standard current data is used to characterize the input current of the target motor during the normal operation of the chassis vehicle.

[0004] For example, the invention patent with announcement number CN106814290B is a 10kV switchgear status detection method, which establishes a 10kV switchgear test platform; obtains defect statistical maps and a status judgment standard comparison library; measures the transient ground wave amplitude of partial discharge of the switchgear; and determines whether the transient ground wave amplitude is higher than the background noise; compares the switchgear statistical map with the defect statistical map in the status judgment standard comparison library and calculates the correlation, obtains and compares the final value of the tested switchgear statistical map and all defect statistical maps, and sets the map with the largest value as the judgment result; and evaluates the current 10kV switchgear status.

[0005] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, it was found that the above technology has at least the following technical problems: the existing technology mainly relies on current or position sensors to monitor the status of the chassis vehicle, and the abnormal status monitoring method is single, and it is unable to respond to abnormal situations in the operation of the chassis vehicle in time, posing a safety hazard. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a high-voltage switchgear safety status assessment system and method based on artificial intelligence, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides a high-voltage switchgear safety status assessment system based on artificial intelligence, including: a valve status monitoring module, including a valve working status monitoring unit and a grounding knife switch working status monitoring unit, the valve working status monitoring unit is used to collect the valve working status data and judge the valve working status; the grounding knife switch working status monitoring unit is used to collect the grounding knife switch working status data and judge the grounding knife switch working status.

[0008] The switch cabinet safety status assessment module includes a chassis vehicle working status analysis unit and a switch cabinet internal environment monitoring unit. The chassis vehicle working status analysis unit is used to start the circuit breaker chassis vehicle according to the working status of the valve, and collect the operation data of the circuit breaker chassis vehicle, and comprehensively analyze to obtain the circuit breaker chassis vehicle operation abnormality assessment value; the switch cabinet internal environment monitoring module is used to monitor the internal environment data of the high-voltage switch cabinet, and comprehensively analyze to obtain the internal environment abnormality assessment value of the high-voltage switch cabinet.

[0009] The closing condition verification module is used to evaluate the safety status according to the abnormal operation evaluation value of the circuit breaker chassis and the abnormal internal environment evaluation value of the high-voltage switch cabinet, and obtain the final position of the circuit breaker chassis to determine whether the closing conditions are met.

[0010] As a further method, the valve working status data is collected to determine the valve working status. The specific process is: the valve working status data includes travel switch position data and travel switch video data.

[0011] Based on the travel switch position data, determine whether the valve is open, and based on the valve video data, analyze the valve abnormality assessment value. Use the double authentication method to determine the valve working status and improve the reliability of the judgment.

[0012] Obtain the valve abnormality assessment threshold from the switch cabinet database, compare the valve abnormality assessment value with the valve abnormality assessment threshold, if the valve abnormality assessment value is greater than or equal to the valve abnormality assessment threshold, then the valve working state is judged to be an abnormal state, if the valve abnormality assessment value is less than the valve abnormality assessment threshold, then the valve working state is judged to be a normal state.

[0013] As a further method, the operation data of the circuit breaker chassis vehicle is collected, and a comprehensive analysis is performed to obtain an evaluation value of the operation abnormality of the circuit breaker chassis vehicle. The specific analysis process is as follows: the operation data of the circuit breaker chassis vehicle includes position data and power data of the circuit breaker chassis vehicle. According to the position data of the circuit breaker chassis vehicle, the position abnormality of the circuit breaker chassis vehicle is judged, and the apparent abnormality evaluation parameters of the circuit breaker chassis vehicle are obtained through processing.

[0014] According to the power data of the circuit breaker chassis vehicle, it is judged that the state of the circuit breaker chassis vehicle is abnormal, and the power abnormality evaluation parameters of the circuit breaker chassis vehicle are obtained through processing.

[0015] According to the apparent abnormality assessment parameters and power abnormality assessment parameters of the circuit breaker chassis, a comprehensive analysis is performed to obtain the operation abnormality assessment value of the circuit breaker chassis.

[0016] As a further method, the processing obtains the apparent abnormality evaluation parameters of the circuit breaker chassis vehicle, and the specific process is: the video data of the circuit breaker chassis vehicle includes the chassis vehicle movement distance and the real-time position image of the chassis vehicle at each time monitoring point.

[0017] The allowable deviation pixel value of the chassis vehicle image, the allowable deviation movement distance of the chassis vehicle, the reference standard image of the chassis vehicle, and the reference movement distance of the chassis vehicle at each time monitoring point are obtained from the switch cabinet database. Several pixel screening points are deployed, and the pixel values ​​of each pixel screening point of the chassis vehicle real-time image and the pixel values ​​of the corresponding pixel screening points on the chassis vehicle reference standard image are collected. The video abnormality indicators of the circuit breaker chassis vehicle are obtained through comprehensive analysis.

[0018] The audio data of the circuit breaker chassis vehicle is collected, and the audio data includes the volume and sound frequency of each time monitoring point. The reference sound frequency and the allowable deviation sound frequency of the chassis vehicle movement are obtained from the switch cabinet database. Combined with the video abnormality index of the circuit breaker chassis vehicle, the apparent abnormality evaluation parameters of the circuit breaker chassis vehicle are obtained through comprehensive analysis.

[0019] As a further method, the processing obtains the power anomaly assessment parameter of the circuit breaker chassis vehicle, and the specific analysis process is: collecting power data of the circuit breaker chassis vehicle, and the power data includes each power parameter value at each time monitoring point.

[0020] The reference value of each power parameter and the allowable deviation value of each power parameter are obtained from the switch cabinet database, and the power anomaly assessment parameters of the circuit breaker chassis are obtained through comprehensive analysis.

[0021] As a further method, the comprehensive analysis obtains the abnormal evaluation value of the internal environment of the high-voltage switchgear. The specific analysis process is: deploying several environmental monitoring points, and the internal environmental data of the high-voltage switchgear includes the ozone concentration, temperature and suspended particulate matter concentration of each environmental monitoring point.

[0022] The critical ozone concentration, reference ambient temperature, allowable deviation ambient temperature and critical suspended particulate matter concentration are obtained from the switch cabinet database, and the abnormal evaluation value of the internal environment of the high-voltage switch cabinet is obtained through comprehensive analysis.

[0023] As a further method, the safety status assessment is performed based on the circuit breaker chassis operation abnormality assessment value and the high-voltage switch cabinet internal environment abnormality assessment value. The specific process is: based on the circuit breaker chassis operation abnormality assessment value and the high-voltage switch cabinet internal environment abnormality assessment value, a comprehensive analysis is performed to obtain a safety status assessment index.

[0024] The safety status assessment index threshold is obtained from the switch cabinet database, and the safety status assessment index is compared with the safety status assessment index threshold. If the safety status assessment index is greater than or equal to the safety status assessment index threshold, the high-voltage switch cabinet state is assessed to be a safe state, and the final position of the circuit breaker chassis vehicle is obtained to determine whether the closing conditions are met.

[0025] If the safety status assessment index is less than the safety status assessment index threshold, the high-voltage switchgear state is assessed to be abnormal, the current operation is terminated, and feedback is given to relevant personnel.

[0026] As a further method, the safety status assessment based on the circuit breaker chassis operation abnormality assessment value and the high-voltage switch cabinet internal environment abnormality assessment value further includes: safety monitoring of the circuit breaker chassis operation process.

[0027] Several time monitoring points are deployed in the operation process of the circuit breaker chassis to obtain the abnormal operation assessment value of the circuit breaker chassis and the abnormal internal environment assessment value of the high-voltage switchgear at each time monitoring point.

[0028] The circuit breaker chassis operation abnormality assessment threshold and the high-voltage switchgear internal environment abnormality assessment threshold are obtained from the switchgear database, and the circuit breaker chassis operation abnormality assessment value and the high-voltage switchgear internal environment abnormality assessment value at each time monitoring point are compared with the circuit breaker chassis operation abnormality assessment threshold and the high-voltage switchgear internal environment abnormality assessment threshold respectively.

[0029] If the circuit breaker chassis vehicle operation abnormality assessment value at a monitoring point at a certain time is greater than or equal to the circuit breaker chassis vehicle operation abnormality assessment threshold, or the high-voltage switchgear internal environment abnormality assessment value is greater than or equal to the high-voltage switchgear internal environment abnormality assessment threshold, then the high-voltage switchgear state is assessed as abnormal, the circuit breaker chassis vehicle is stopped from moving immediately, and feedback is given to relevant personnel.

[0030] If the circuit breaker chassis operation abnormality assessment value at a monitoring point at a certain time is less than the circuit breaker chassis operation abnormality assessment threshold, and the high-voltage switchgear internal environment abnormality assessment value is less than the high-voltage switchgear internal environment abnormality assessment threshold, the high-voltage switchgear state is assessed to be a safe state and no interference operation is performed.

[0031] As a further method, the final position of the circuit breaker chassis is obtained to determine whether to close the circuit. The specific process is: obtaining the final position of the circuit breaker chassis, extracting the reference final position of the circuit breaker chassis from the switch cabinet database, extracting the deviation distance between the final position of the circuit breaker chassis and the reference final position of the circuit breaker chassis, and marking it as the chassis terminal deviation distance.

[0032] The allowable end point deviation distance is obtained from the switch cabinet database, and the chassis vehicle end point deviation distance is compared with the allowable end point deviation distance. If the chassis vehicle end point deviation distance is greater than the allowable end point deviation distance, closing the switch is not allowed, and an early warning is given to relevant personnel.

[0033] If the chassis vehicle end point deviation distance is less than or equal to the allowable end point deviation distance, the switch is closed and energized.

[0034] The second aspect of the present invention provides a high-voltage switch cabinet safety status assessment method based on artificial intelligence, including: collecting valve working status data, judging the valve working status, collecting grounding knife switch working status data, and judging the grounding knife switch working status.

[0035] The circuit breaker chassis is started according to the working status of the valve, and the operation data of the circuit breaker chassis is collected. The abnormal operation evaluation value of the circuit breaker chassis is obtained through comprehensive analysis. The internal environmental data of the high-voltage switchgear is monitored, and the abnormal internal environmental evaluation value of the high-voltage switchgear is obtained through comprehensive analysis.

[0036] The safety status is assessed based on the abnormal operation assessment value of the circuit breaker chassis and the abnormal internal environment assessment value of the high-voltage switchgear, and the final position of the circuit breaker chassis is obtained to determine whether the closing conditions are met.

[0037] Compared with the prior art, the embodiments of the present invention have at least the following beneficial effects:

[0038] (1) The present invention provides an artificial intelligence-based high-voltage switchgear safety status assessment system and method to monitor the working status of the valve, effectively prevent the risk of live operation, and analyze the working status of the chassis vehicle and the internal environment of the high-voltage switchgear. It comprehensively evaluates the abnormal operation of the chassis vehicle based on various data, timely discovers potential problems, ensures the stable operation of the equipment, improves the safety of the closing operation, and helps to comprehensively and accurately assess the safety status of the high-voltage switchgear, effectively preventing the occurrence of faults and accidents.

[0039] (2) The present invention can achieve comprehensive detection of apparent abnormalities of chassis vehicles by combining the abnormality levels of video and audio, improve the accuracy and reliability of abnormality detection, and help to more accurately locate the fault location and type of chassis vehicles. Through real-time monitoring and comprehensive analysis of video and audio, early warning of chassis vehicle faults can be achieved, providing a basis for taking maintenance measures in advance and avoiding further deterioration of faults.

[0040] (3) By monitoring current, voltage and power, the present invention can fully understand the operating status of the electric push-in motor of the circuit breaker chassis vehicle and more accurately determine whether the motor is operating normally. By analyzing the correlation between current, voltage and power, abnormalities can be found in the early stage of motor failure, and timely measures can be taken to repair it to avoid further expansion of the failure, thereby improving the reliability and safety of the chassis vehicle.

[0041] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a schematic diagram of system module connection of the present invention;

[0043] Figure 2 It is a schematic diagram of the method flow of the present invention.

[0044] Figure 3 It is a schematic diagram of the functional relationship between the apparent abnormality evaluation parameter of the circuit breaker chassis vehicle involved in the embodiment of the present invention and the circuit breaker chassis vehicle operation abnormality evaluation value. DETAILED DESCRIPTION

[0045] 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.

[0046] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0047] Reference Figure 1As shown, the first aspect of the present invention provides a high-voltage switchgear safety status assessment system based on artificial intelligence, including: a valve status monitoring module, including a valve working status monitoring unit and a grounding knife switch working status monitoring unit, the valve working status monitoring unit is used to collect valve working status data and judge the valve working status; the grounding knife switch working status monitoring unit is used to collect grounding knife switch working status data and judge the grounding knife switch working status.

[0048] It should be understood that the valve in this embodiment is a safety interlock mechanism, and the circuit breaker chassis can only be moved when the valve is open. The chassis is a device installed on a track and can be moved inside the switch cabinet to carry and transport circuit breakers or load switches. The valve is directly connected to the moving mechanism of the chassis, and the chassis can only move when the valve is opened and the mechanical lock is released. The function of the valve is to ensure that the cabinet is in a safe state before the chassis moves to prevent arcing, electric shock or other dangers. When the valve is open, the circuit breaker is in the disconnected position and the grounding switch is closed, ensuring that the relevant circuits are de-energized before the chassis moves to prevent risks caused by live operations.

[0049] Specifically, the valve working state data is collected to determine the valve working state, and the specific process is as follows: the valve working state data includes travel switch position data and travel switch video data.

[0050] It should be understood that the travel switch position data in this embodiment includes the specific position of each travel switch, and the position state of each travel switch can be directly obtained through the position sensor. The travel switch is used to detect the position of the valve, and each travel switch can be triggered at a specific position to provide a position feedback signal.

[0051] In a specific embodiment, the valve working state data includes four travel switch position data. The first travel switch is installed at the initial position of the valve. When the valve is closed, this switch is triggered, indicating that the valve is in a closed state, and the chassis vehicle is not allowed to move at this time; the second travel switch is located in the middle position of the valve. When the valve begins to open and reaches the middle position, this switch is triggered, which can be used as a checkpoint in the operation process to ensure that the valve is moving as expected; the third travel switch is installed in the fully open position of the valve. When the valve is fully opened, this switch is triggered, indicating that the valve has been fully opened. At this time, the safety condition is met and the next operation can be performed, such as moving the chassis vehicle. The fourth travel switch is related to safety functions, such as quickly closing the valve in an emergency. This switch is triggered when the valve is accidentally closed or an emergency stop operation is required.

[0052] Based on the travel switch position data, determine whether the valve is open, and based on the valve video data, analyze the valve abnormality assessment value. Use the double authentication method to determine the valve working status and improve the reliability of the judgment.

[0053] It should be understood that the dual authentication method used in this embodiment to determine the working state of the valve means that the working state of the valve needs to be comprehensively determined based on the travel switch position data and the valve video data, which can ensure the reliability of the determination.

[0054] In a specific embodiment, the specific process of determining whether the valve is open is as follows: the circuit breaker chassis is driven into the switch cabinet to wait for a closing command. When the control system receives the closing command, the position sensor obtains the positions of four travel switches. If and only if all four travel switches are in the preset position, the valve working state is determined to be an open state; if one or more travel switches are not in the preset position, the valve working state is determined to be a closed state.

[0055] It should be understood that the control system in this embodiment is an automated power system control center, which is used to implement the closing and closing operations of the circuit breaker through a series of control logics and mechanical actions.

[0056] In a specific embodiment, the travel switch video data includes a real-time image of the valve. When the working state of the valve is the open state, the valve opening image is extracted, the valve image allowable deviation pixel value and the valve normal opening reference standard image are obtained from the switch cabinet database, a number of pixel screening points are deployed, and the pixel values ​​of each pixel screening point of the valve opening image and the pixel values ​​of the corresponding pixel screening points on the valve normal opening reference standard image are collected. The valve abnormality evaluation value can be obtained by the following method:

[0057] ;

[0058] In the formula, Indicates the valve abnormality evaluation value, represents the pixel value of the jth pixel screening point of the valve opening image, Indicates the pixel value of the jth pixel screening point of the reference standard image when the valve is normally open. Indicates the allowable deviation pixel value of the valve image. represents the preset valve abnormality assessment correction factor, j represents the number of each pixel screening point, j=1,2,3,...,m, and m represents the total number of pixel screening points.

[0059] Obtain the valve abnormality assessment threshold from the switch cabinet database, compare the valve abnormality assessment value with the valve abnormality assessment threshold, if the valve abnormality assessment value is greater than or equal to the valve abnormality assessment threshold, then the valve working state is judged to be an abnormal state, if the valve abnormality assessment value is less than the valve abnormality assessment threshold, then the valve working state is judged to be a normally open state.

[0060] It should be understood that the algorithm of this embodiment calculates the valve abnormality assessment value by comparing the pixel value difference between the valve open image and the reference standard image of the normal valve opening. The valve abnormality assessment value is used to quantitatively assess the degree of abnormality of the valve. The larger the pixel value difference between the valve open image and the reference standard image of the normal valve opening, the larger the corresponding valve abnormality assessment value, indicating that the valve is more abnormal.

[0061] In a specific embodiment, the specific process of collecting the working state data of the grounding knife switch and judging the working state of the grounding knife switch is as follows: the working state data of the grounding knife switch includes a real-time image of the grounding knife switch. When the control system receives the closing command, it executes the grounding knife switch opening operation, extracts the grounding knife switch opening image, obtains the grounding knife switch opening image allowable deviation pixel value and the grounding knife switch normal opening reference standard image from the switch cabinet database, deploys a number of pixel screening points, collects the pixel values ​​of each pixel screening point of the grounding knife switch opening image and the pixel values ​​of the corresponding pixel screening points on the grounding knife switch normal opening reference standard image, and the grounding knife switch opening abnormality evaluation value can be obtained by the following method:

[0062] ;

[0063] In the formula, Indicates the abnormal evaluation value of the grounding knife switch opening. Represents the pixel value of the jth pixel screening point in the grounding knife switch opening image, Indicates that the grounding knife switch is normally opened, referring to the pixel value of the jth pixel screening point of the standard image, Indicates the pixel value of the grounding knife switch opening image allowable deviation. It represents the preset grounding switch opening abnormal assessment correction factor, j represents the number of each pixel screening point, j=1,2,3,...,m, m represents the total number of pixel screening points.

[0064] It should be understood that the algorithm of this embodiment calculates the grounding knife switch opening abnormality evaluation value by comparing the pixel value difference between the grounding knife switch opening image and the reference standard image of the grounding knife switch normally opening. The grounding knife switch opening abnormality evaluation value is used to quantitatively evaluate the abnormality of the grounding knife switch. The larger the pixel value difference between the grounding knife switch opening image and the reference standard image of the grounding knife switch normally opening, the larger the corresponding grounding knife switch opening abnormality evaluation value, indicating that the grounding knife switch is more abnormal.

[0065] In this embodiment and They are respectively the valve abnormality assessment correction factor and the grounding knife switch opening abnormality assessment correction factor preset in the switch cabinet database, which respectively represent the numerical value of the influence degree of the valve image pixel value difference on the valve abnormality assessment value and the numerical value of the influence degree of the grounding knife image pixel value difference on the grounding knife switch opening abnormality assessment value, and can be directly obtained from the prefabricated body database when used. For example, the volume of the switch cabinet and the valve abnormality assessment correction factor and the grounding knife switch opening abnormality assessment correction factor preset in the switch cabinet database form a mapping set, and the valve abnormality assessment correction factor and the grounding knife switch opening abnormality assessment correction factor are obtained according to the volume of the switch cabinet input mapping set, wherein the mapping relationship is a one-to-many relationship. In this embodiment, the value range of the influencing factor is between 0 and 1.

[0066] The grounding knife switch opening abnormality assessment threshold is obtained from the switch cabinet database, and the grounding knife switch opening abnormality assessment value is compared with the grounding knife switch opening abnormality assessment threshold. If the grounding knife switch opening abnormality assessment value is greater than or equal to the grounding knife switch opening abnormality assessment threshold, the grounding knife switch working state is judged to be an abnormal state; if the grounding knife switch opening abnormality assessment value is less than the grounding knife switch opening abnormality assessment threshold, the grounding knife switch working state is judged to be a normal opening state.

[0067] The switch cabinet safety status assessment module includes a chassis vehicle working status analysis unit and a switch cabinet internal environment monitoring unit. The chassis vehicle working status analysis unit is used to start the circuit breaker chassis vehicle according to the working status of the valve, and collect the operation data of the circuit breaker chassis vehicle, and comprehensively analyze to obtain the circuit breaker chassis vehicle operation abnormality assessment value; the switch cabinet internal environment monitoring module is used to monitor the internal environment data of the high-voltage switch cabinet, and comprehensively analyze to obtain the internal environment abnormality assessment value of the high-voltage switch cabinet.

[0068] It should be understood that in this embodiment, the circuit breaker chassis vehicle is started according to the working state of the valve. If the working state of the valve is normally open and the working state of the grounding knife switch is normally open, the circuit breaker chassis vehicle is automatically pushed into the track and the operation data of the circuit breaker chassis vehicle is collected; on the contrary, if the working state of the valve is not normally open or the working state of the grounding knife switch is not normally open, the circuit breaker chassis vehicle is locked and is not allowed to move, and the working state of the valve and the working state of the grounding knife switch are fed back to the relevant maintenance personnel.

[0069] The closing condition verification module is used to evaluate the safety status according to the abnormal operation evaluation value of the circuit breaker chassis and the abnormal internal environment evaluation value of the high-voltage switch cabinet, and obtain the final position of the circuit breaker chassis to determine whether the closing conditions are met.

[0070] Specifically, the operation data of the circuit breaker chassis vehicle is collected, and a comprehensive analysis is performed to obtain an evaluation value of the operation abnormality of the circuit breaker chassis vehicle. The specific analysis process is as follows: the operation data of the circuit breaker chassis vehicle includes position data and power data of the circuit breaker chassis vehicle. According to the position data of the circuit breaker chassis vehicle, the position abnormality of the circuit breaker chassis vehicle is judged, and the apparent abnormality evaluation parameters of the circuit breaker chassis vehicle are obtained through processing.

[0071] It should be understood that the position abnormality of the circuit breaker chassis vehicle includes the abnormality of the circuit breaker chassis vehicle in the middle position, the test position and the working position, which can be judged by the apparent abnormality evaluation parameters of the circuit breaker chassis vehicle at each position. A preset apparent abnormality evaluation parameter threshold is obtained, and if the apparent abnormality evaluation parameter of the circuit breaker chassis vehicle at a certain position is greater than the apparent abnormality evaluation parameter threshold, it is judged that the circuit breaker chassis vehicle at this position has a position abnormality.

[0072] According to the power data of the circuit breaker chassis vehicle, it is judged that the state of the circuit breaker chassis vehicle is abnormal, and the power abnormality evaluation parameters of the circuit breaker chassis vehicle are obtained through processing.

[0073] It should be understood that the abnormal state of the circuit breaker chassis vehicle, including abnormalities such as jamming and freezing, can be judged by the power abnormality assessment parameter of the circuit breaker chassis vehicle. A preset power abnormality assessment parameter threshold is obtained, and if the power abnormality assessment parameter of the circuit breaker chassis vehicle is greater than the power abnormality assessment parameter threshold, it is judged that the circuit breaker chassis vehicle has an abnormal state.

[0074] According to the apparent abnormality assessment parameters and power abnormality assessment parameters of the circuit breaker chassis, a comprehensive analysis is performed to obtain the operation abnormality assessment value of the circuit breaker chassis.

[0075] In a specific embodiment, the specific numerical expression of the circuit breaker chassis vehicle operation abnormality evaluation value is:

[0076] ;

[0077] In the formula, Indicates the abnormal operation evaluation value of the circuit breaker chassis vehicle. Represents the apparent abnormality evaluation parameter of the circuit breaker chassis, Indicates the power anomaly evaluation parameter of the circuit breaker chassis. Indicates the operational abnormality assessment impact factor corresponding to the preset apparent abnormality assessment parameter, Indicates the operation abnormality assessment impact factor corresponding to the preset power abnormality assessment parameter.

[0078] The algorithm of this embodiment combines the apparent abnormality evaluation parameters and the power abnormality evaluation parameters, and comprehensively analyzes to obtain the circuit breaker chassis vehicle operation abnormality evaluation value. Under normal circumstances, the apparent abnormality may be accompanied by power abnormalities, and the power abnormality may also cause changes in the appearance. For example, the failure of the internal mechanical components of the chassis vehicle may affect the stability of the electrical connection, thereby showing abnormalities in the power data; abnormal conditions such as short circuits in the power system may cause local overheating of the chassis vehicle, and then smoke, discoloration and other phenomena appear in the appearance. By combining the apparent abnormality evaluation parameters and the power abnormality evaluation parameters, the operating status of the circuit breaker chassis vehicle can be more comprehensively evaluated and the accuracy of fault detection can be improved. By analyzing the simultaneous changes of the apparent abnormality evaluation parameters and the power abnormality evaluation parameters, it can be inferred whether the abnormality is caused by mechanical reasons leading to electrical failures, or electrical failures causing mechanical problems, providing data support for fault troubleshooting and repair.

[0079] In a specific embodiment, Figure 3 As shown, = = 0.5, when =0.5, the functional relationship between the apparent abnormal evaluation parameter of the circuit breaker chassis and the abnormal operation evaluation value of the circuit breaker chassis is shown in curve a; when =0.6, the functional relationship between the apparent abnormal evaluation parameter of the circuit breaker chassis and the abnormal operation evaluation value of the circuit breaker chassis is shown in curve b; when =0.7, the functional relationship between the apparent abnormality evaluation parameter of the circuit breaker chassis vehicle and the abnormal operation evaluation value of the circuit breaker chassis vehicle is shown as curve c. In this embodiment, the abnormal operation evaluation value of the circuit breaker chassis vehicle is used to quantitatively evaluate the abnormal degree of the circuit breaker chassis vehicle during operation. The larger the apparent abnormality evaluation parameter of the circuit breaker chassis vehicle and the power abnormality evaluation parameter, the larger the corresponding abnormal operation evaluation value of the circuit breaker chassis vehicle, indicating that the operation process of the circuit breaker chassis vehicle is more abnormal.

[0080] In this embodiment and The operational abnormality assessment influencing factors corresponding to the apparent abnormality assessment parameters and the power abnormality assessment parameters preset in the switch cabinet database respectively represent the numerical values ​​of the degree of influence of the apparent abnormality assessment parameters and the power abnormality assessment parameters on the operational abnormality assessment value of the circuit breaker chassis vehicle, and can be directly obtained from the prefabricated body database when used. For example, a mapping set is formed by combining the volume of the switch cabinet with the operational abnormality assessment influencing factors corresponding to the apparent abnormality assessment parameters and the power abnormality assessment parameters preset in the switch cabinet database, and the operational abnormality assessment influencing factors corresponding to the apparent abnormality assessment parameters and the power abnormality assessment parameters are obtained according to the mapping set input according to the volume of the switch cabinet, wherein the mapping relationship is a one-to-many relationship. In this embodiment, the value range of the influencing factor is between 0 and 1.

[0081] Specifically, the apparent abnormality evaluation parameters of the circuit breaker chassis vehicle are obtained by processing, and the specific process is: the video data of the circuit breaker chassis vehicle includes the moving distance of the chassis vehicle at each time monitoring point and the real-time position image of the chassis vehicle.

[0082] It should be understood that in this embodiment, several time points for data monitoring are deployed during the movement of the circuit breaker chassis vehicle, which are marked as various time monitoring points.

[0083] The allowable deviation pixel value of the chassis vehicle image, the allowable deviation movement distance of the chassis vehicle, the reference standard image of the chassis vehicle, and the reference movement distance of the chassis vehicle at each time monitoring point are obtained from the switch cabinet database. Several pixel screening points are deployed, and the pixel values ​​of each pixel screening point of the chassis vehicle real-time image and the pixel values ​​of the corresponding pixel screening points on the chassis vehicle reference standard image are collected. The video abnormality indicators of the circuit breaker chassis vehicle are obtained through comprehensive analysis.

[0084] It should be understood that the video data of the circuit breaker chassis in this embodiment can be collected by a camera, and the chassis moving distance and the real-time image of the chassis at each time monitoring point can be extracted from the video data. The reference moving distance of the chassis at each time monitoring point in this embodiment can be extracted by extracting the reference moving speed of the chassis through the switch cabinet database, and the time length between each time monitoring point and the initial time point of the chassis movement is multiplied by the reference moving speed of the chassis, and the product result is marked as the reference moving distance of the chassis at each time monitoring point.

[0085] In a specific embodiment, the specific numerical expression of the video abnormality index of the circuit breaker chassis vehicle is:

[0086] ;

[0087] In the formula, It represents the video abnormality index of the circuit breaker chassis vehicle, e represents the natural constant, represents the moving distance of the chassis at the i-th time monitoring point, represents the reference moving distance of the chassis at the i-th time monitoring point, Indicates the allowable deviation movement distance of the chassis. represents the pixel value of the jth pixel screening point of the chassis vehicle real-time image at the i-th time monitoring point, represents the pixel value of the jth pixel screening point of the chassis vehicle reference standard image at the i-th time monitoring point, It represents the pixel value of the chassis vehicle image allowable deviation, i represents the number of each time monitoring point, i=1,2,3,...,n, n represents the total number of time monitoring points, j represents the number of each pixel screening point, j=1,2,3,...,m, m represents the total number of pixel screening points.

[0088] It should be understood that the video anomaly index of the circuit breaker chassis vehicle in this embodiment is used to quantitatively evaluate the degree of abnormality of the video data of the circuit breaker chassis vehicle. The more the chassis vehicle movement distance and the real-time image pixel value deviate from the reference value, the larger the corresponding video anomaly index of the circuit breaker chassis vehicle is, indicating that the video data of the circuit breaker chassis vehicle is more abnormal.

[0089] The algorithm of this embodiment combines the moving distance deviation value and the image pixel value deviation value, and comprehensively analyzes to obtain the video anomaly index of the circuit breaker chassis vehicle. The moving distance deviation value reflects the abnormal movement of the chassis vehicle in the physical space, and the image pixel value deviation value reflects the state change of the chassis vehicle from a visual perspective. When the chassis vehicle moves beyond the allowable deviation in the physical position, the corresponding pixel position on the image will also change, resulting in image pixel value deviation. By comprehensively analyzing the moving distance deviation value and the image pixel value deviation value, the reliability of the chassis vehicle video anomaly detection can be improved, the abnormal situation of the chassis vehicle can be reflected from different dimensions, and the operating status of the chassis vehicle can be more accurately reflected. For example, if the moving distance deviation value and the image pixel value deviation value are both large, then the video anomaly index will increase significantly, indicating that the chassis vehicle has a greater risk of operating abnormality.

[0090] The audio data of the circuit breaker chassis vehicle is collected, and the audio data includes the volume and sound frequency of each time monitoring point. The reference sound frequency and the allowable deviation sound frequency of the chassis vehicle movement are obtained from the switch cabinet database. Combined with the video abnormality index of the circuit breaker chassis vehicle, the apparent abnormality evaluation parameters of the circuit breaker chassis vehicle are obtained through comprehensive analysis.

[0091] It should be understood that, in this embodiment, audio data can be collected by an audio sensor.

[0092] In a specific embodiment, the specific numerical expression of the apparent abnormality evaluation parameter of the circuit breaker chassis vehicle is:

[0093] ;

[0094] In the formula, Represents the apparent abnormality evaluation parameter of the circuit breaker chassis, Indicates the abnormal video indicators of the circuit breaker chassis vehicle. represents the sound frequency at the i-th time monitoring point, Indicates the chassis vehicle movement reference sound frequency, Indicates the allowable deviation sound frequency, represents the volume at the i-th time monitoring point, Indicates the apparent abnormality assessment impact factor corresponding to the preset video abnormality, It represents the apparent abnormality assessment impact factor corresponding to the preset audio abnormality, i represents the number of each time monitoring point, i=1,2,3,...,n, and n represents the total number of time monitoring points.

[0095] It should be understood that the apparent abnormality evaluation parameter of the circuit breaker chassis vehicle in this embodiment is used to quantitatively evaluate the comprehensive abnormality degree of the video data and audio data of the circuit breaker chassis vehicle during movement. The larger the video abnormality index, the more the sound frequency of the moving circuit breaker chassis vehicle deviates from the reference value, and the more the volume deviates from the average value. The larger the corresponding apparent abnormality evaluation parameter of the circuit breaker chassis vehicle, the higher the comprehensive abnormality degree of the video data and audio data of the circuit breaker chassis vehicle during movement.

[0096] The algorithm of this embodiment combines the degree of video abnormality and the degree of audio abnormality, and comprehensively analyzes to obtain the apparent abnormality evaluation parameters of the circuit breaker chassis vehicle. The degree of video abnormality mainly reflects the visual abnormalities of the chassis vehicle, such as the deviation of the moving distance and the deviation of the image pixel value; the degree of audio abnormality reflects the abnormality of the chassis vehicle in terms of sound, including changes in volume and sound frequency. Under normal circumstances, the failure of the chassis vehicle will be manifested in both video and audio, and the two are complementary. For example, when the mechanical parts of the chassis vehicle are worn, the video may show that the chassis vehicle is not moving smoothly or is in an abnormal position. At the same time, abnormal friction sounds or noises will appear in the audio, the volume may increase, and the sound frequency may also change.

[0097] In this embodiment, by combining the abnormal degree of video and audio, a comprehensive detection of the apparent abnormality of the chassis vehicle can be achieved, and the accuracy and reliability of abnormality detection can be improved. The comprehensive analysis of video data and audio data helps to more accurately locate the fault position and type of the chassis vehicle. When the video and audio are abnormal at the same time, the approximate location and nature of the fault can be inferred based on the video data and audio data. For example, if the video shows that a certain part of the chassis vehicle has abnormal movement, and a specific sound frequency change occurs near the part in the audio, then it can be preliminarily judged that there may be a mechanical fault in the part. Through real-time monitoring and comprehensive analysis of video and audio, early warning of chassis vehicle failures can be achieved, providing a basis for taking maintenance measures in advance and avoiding further deterioration of the failure. The apparent abnormal evaluation parameters of the circuit breaker chassis vehicle obtained by comprehensively analyzing the abnormal degree of video and audio can comprehensively consider the abnormal conditions of both video and audio, and can more comprehensively and accurately reflect the apparent abnormal degree of the chassis vehicle.

[0098] In this embodiment and They are respectively the apparent abnormality assessment impact factors corresponding to the video abnormality and audio abnormality preset in the switch cabinet database, and respectively represent the numerical values ​​of the degree of influence of the video abnormality and audio abnormality on the apparent abnormality assessment parameters of the circuit breaker chassis vehicle, and can be directly obtained from the prefabricated body database when used. For example, a mapping set is formed by the volume of the switch cabinet and the apparent abnormality assessment impact factors corresponding to the video abnormality and audio abnormality preset in the switch cabinet database, and the apparent abnormality assessment impact factors corresponding to the video abnormality and audio abnormality are obtained according to the mapping set input of the volume of the switch cabinet, wherein the mapping relationship is a one-to-many relationship. In this embodiment, the value range of the impact factor is between 0 and 1.

[0099] Specifically, the power anomaly assessment parameters of the circuit breaker chassis vehicle are obtained by processing, and the specific analysis process is: collecting power data of the circuit breaker chassis vehicle, and the power data includes each power parameter value at each time monitoring point.

[0100] It should be understood that the power data of the circuit breaker chassis vehicle in this embodiment is specifically for the electric chassis vehicle, and refers to the working data of the circuit breaker push-in motor.

[0101] The reference value of each power parameter and the allowable deviation value of each power parameter are obtained from the switch cabinet database, and the power anomaly assessment parameters of the circuit breaker chassis are obtained through comprehensive analysis.

[0102] It should be understood that in this embodiment, each power parameter value includes current, voltage and power, each power parameter reference value includes reference current, reference voltage and reference power, and each power parameter allowable deviation value includes allowable deviation current, allowable deviation voltage and allowable deviation power. The current, voltage and power of the circuit breaker chassis can be directly collected through the electric energy meter.

[0103] In a specific embodiment, the specific numerical expression of the power anomaly assessment parameter of the circuit breaker chassis vehicle is:

[0104] ;

[0105] In the formula, Indicates the power anomaly evaluation parameter of the circuit breaker chassis. represents the rth power parameter value at the i-th time monitoring point, represents the rth power parameter reference value, represents the allowable deviation value of the rth power parameter, It represents the power anomaly assessment impact factor corresponding to the preset r-th power parameter, i represents the number of each time monitoring point, i=1,2,3,...,n, n represents the total number of time monitoring points, r represents the number of each power parameter, r=1,2,3,...,h, h represents the total number of power parameters.

[0106] The algorithm of this embodiment combines the values ​​of various power parameters and comprehensively analyzes to obtain the power anomaly assessment parameters of the circuit breaker chassis vehicle. For the electric push-in motor of the circuit breaker chassis vehicle, during normal operation, the current, voltage and power will vary in a certain range in correlation. When the motor load increases, the current will usually increase. In order to maintain the stability of the power, the voltage may fluctuate to a certain extent. The power reflects the working state and load conditions of the motor. When the chassis vehicle operates normally, the power will fluctuate within a relatively stable range. If the power suddenly increases, it may be caused by excessive load, motor failure, or transmission system jamming; if the power decreases, it may be due to reduced motor efficiency, insufficient power supply, or problems with some circuits.

[0107] Table 1 Example of power anomaly assessment parameter data

[0108]

[0109] In a specific embodiment, an example of power anomaly assessment parameter data is shown in Table 1. Wherein, n=1, the reference current is 0.82A, the reference voltage is 220V, the reference power is 180W, the allowable deviation current is 0.02A, the allowable deviation voltage is 22V, the allowable deviation power is 13.5W, the power anomaly assessment impact factor corresponding to the current is 0.3, the power anomaly assessment impact factor corresponding to the voltage is 0.3, and the power anomaly assessment impact factor corresponding to the power is 0.4. In this embodiment, the power anomaly assessment parameters of the circuit breaker chassis vehicle are used to quantitatively assess the degree of power anomaly of the circuit breaker chassis vehicle. The more each power parameter value deviates from the reference value, the larger the corresponding power anomaly assessment parameter of the circuit breaker chassis vehicle is, indicating that the degree of power anomaly of the circuit breaker chassis vehicle is higher.

[0110] In this embodiment The power anomaly assessment impact factor corresponding to the rth power parameter preset in the switch cabinet database represents the numerical value of the influence degree of current, voltage and power on the power anomaly assessment parameter of the circuit breaker chassis vehicle, which can be directly obtained from the prefabricated database when used. For example, the volume of the switch cabinet and the power anomaly assessment impact factor corresponding to each power parameter preset in the switch cabinet database form a mapping set, and the power anomaly assessment impact factor corresponding to each power parameter is obtained according to the volume of the switch cabinet input mapping set, wherein the mapping relationship is a one-to-many relationship. In this embodiment, the value range of the impact factor is between 0 and 1.

[0111] In this embodiment, by simultaneously monitoring the current, voltage and power, the operating status of the electric push-in motor of the circuit breaker chassis vehicle can be fully understood, and whether the motor is operating normally can be more accurately determined. For example, monitoring only the current may not be able to distinguish whether the current increase is caused by normal load changes or the current abnormality is caused by motor failure; monitoring only the voltage may not be able to determine whether it is a power supply problem or a voltage fluctuation caused by an internal motor failure. However, by comprehensively analyzing the three parameters, the operating status of the motor can be more accurately determined. Through the correlation analysis of current, voltage and power, abnormalities can be found in the early stage of motor failure, and timely measures can be taken for maintenance to avoid further expansion of the failure, thereby improving the reliability and safety of the chassis vehicle. Long-term comprehensive analysis of current, voltage and power can understand the operating trend of the chassis vehicle's power system. By observing the changing laws of current, voltage and power, possible future failures can be predicted, and preventive measures can be taken in advance to extend the service life of the chassis vehicle.

[0112] Specifically, a comprehensive analysis is performed to obtain an abnormal evaluation value of the internal environment of the high-voltage switch cabinet. The specific analysis process is: deploying a number of environmental monitoring points, and the internal environmental data of the high-voltage switch cabinet includes ozone concentration, temperature and suspended particulate matter concentration at each environmental monitoring point.

[0113] It should be understood that in this embodiment, the ozone concentration at each environmental monitoring point is collected by an ozone sensor, the temperature at each environmental monitoring point is collected by a temperature sensor, and the suspended particulate matter concentration at each environmental monitoring point is collected by an air quality sensor.

[0114] The critical ozone concentration, reference ambient temperature, allowable deviation ambient temperature and critical suspended particulate matter concentration are obtained from the switch cabinet database, and the abnormal evaluation value of the internal environment of the high-voltage switch cabinet is obtained through comprehensive analysis.

[0115] In a specific embodiment, the specific numerical expression of the abnormal evaluation value of the internal environment of the high-voltage switch cabinet is:

[0116] ;

[0117] In the formula, Indicates the abnormal evaluation value of the internal environment of the high-voltage switchgear. represents the ozone concentration at the tth environmental monitoring point, represents the critical ozone concentration, represents the temperature of the tth environmental monitoring point, Indicates the reference ambient temperature, Indicates the allowable deviation ambient temperature, represents the suspended particulate matter concentration at the tth environmental monitoring point, represents the critical suspended particulate matter concentration, Indicates the abnormal impact factor of the switch cabinet internal environment corresponding to the preset ozone concentration. Indicates the abnormal influence factor of the switch cabinet internal environment corresponding to the preset temperature, It represents the abnormal influencing factor of the internal environment of the switch cabinet corresponding to the preset suspended particulate matter concentration, t represents the number of each environmental monitoring point, t=1,2,3,...,s, s represents the total number of environmental monitoring points.

[0118] The algorithm of this embodiment combines ozone concentration, temperature and suspended particulate matter concentration, and comprehensively analyzes to obtain the abnormal evaluation value of the internal environment of the high-voltage switchgear. Higher temperatures may promote the generation of ozone. In the high-voltage switchgear, the operation of certain electrical components generates heat, causing the temperature to rise. If other factors exist at the same time, it may cause an increase in ozone concentration. Suspended particles may provide a surface for the chemical reaction of ozone, thereby affecting the concentration of ozone. In addition, ozone may also interact with suspended particles, affecting their distribution and concentration in the air. Changes in temperature may affect the movement and settling speed of suspended particles in the air, thereby changing the concentration of suspended particles.

[0119] By comprehensively considering ozone concentration, temperature and suspended particle concentration, the environmental conditions inside the high-voltage switchgear can be more comprehensively reflected. Ozone concentration is related to the discharge phenomenon of electrical equipment, temperature is related to the heat dissipation and operating stability of the equipment, and suspended particle concentration is related to the insulation performance and ventilation effect of the equipment. Through real-time monitoring and comprehensive analysis of ozone concentration, temperature and suspended particle concentration, the degree of abnormality in the internal environment of the high-voltage switchgear can be more accurately reflected, and signs of abnormality in the internal environment of the high-voltage switchgear can be discovered in time, providing early warning for equipment maintenance and fault prevention, which helps to formulate more targeted maintenance strategies.

[0120] It should be understood that in this embodiment, the abnormal evaluation value of the internal environment of the high-voltage switchgear is used to quantitatively evaluate the degree of abnormality of the internal environment of the high-voltage switchgear. The greater the ozone concentration and the suspended particulate matter concentration, the more the internal ambient temperature of the switchgear deviates from the reference value, and the larger the corresponding abnormal evaluation value of the internal environment of the high-voltage switchgear, indicating that the internal environment of the high-voltage switchgear is more abnormal.

[0121] In this embodiment , and The abnormal influencing factors of the switch cabinet internal environment corresponding to the ozone concentration, temperature and suspended particle concentration preset in the switch cabinet database respectively represent the numerical values ​​of the degree of influence of the ozone concentration, temperature and suspended particle concentration on the abnormal evaluation value of the internal environment of the high-voltage switch cabinet, and can be directly obtained from the prefabricated body database when used. For example, a mapping set is formed by forming a mapping set of the volume of the switch cabinet and the abnormal influencing factors of the switch cabinet internal environment corresponding to the ozone concentration, temperature and suspended particle concentration preset in the switch cabinet database, and the abnormal influencing factors of the switch cabinet internal environment corresponding to the ozone concentration, temperature and suspended particle concentration are obtained according to the mapping set input of the volume of the switch cabinet, wherein the mapping relationship is a one-to-many relationship. In this embodiment, the value range of the influencing factor is between 0 and 1.

[0122] Specifically, a safety status assessment is performed based on the abnormal operation assessment value of the circuit breaker chassis vehicle and the abnormal internal environment assessment value of the high-voltage switchgear. The specific process is: based on the abnormal operation assessment value of the circuit breaker chassis vehicle and the abnormal internal environment assessment value of the high-voltage switchgear, a safety status assessment index is obtained through comprehensive analysis.

[0123] In a specific embodiment, the specific numerical expression of the safety status evaluation index is:

[0124] ;

[0125] In the formula, represents the safety status assessment index, e represents the natural constant, Indicates the abnormal operation evaluation value of the circuit breaker chassis vehicle. Indicates the abnormal evaluation value of the internal environment of the high-voltage switchgear. Indicates the safety status influencing factor corresponding to the preset abnormal operation evaluation value of the circuit breaker chassis vehicle, It represents the safety status influencing factor corresponding to the preset abnormal evaluation value of the internal environment of the high-voltage switchgear.

[0126] The algorithm of this embodiment combines the evaluation value of the abnormal operation of the circuit breaker chassis vehicle and the evaluation value of the abnormal internal environment of the high-voltage switch cabinet, and comprehensively analyzes to obtain the safety status evaluation index. The abnormal internal environment of the high-voltage switch cabinet may affect the operation of the circuit breaker chassis vehicle. For example, excessive temperature or suspended particulate matter concentration may cause the performance of the electrical components of the chassis vehicle to decline, thereby increasing the risk of abnormal operation; at the same time, the abnormal operation of the circuit breaker chassis vehicle may also have a certain impact on the internal environment of the switch cabinet. For example, abnormal heat or discharge may be generated during a fault, thereby affecting the environmental parameters.

[0127] Comprehensive consideration of the abnormal operation assessment value of the circuit breaker chassis and the abnormal internal environment assessment value of the high-voltage switchgear can more comprehensively assess the safety status of the high-voltage switchgear system, discover potential risks of the high-voltage switchgear in advance, and take timely preventive measures, thereby reducing the probability of failure and improving the reliability and stability of the equipment.

[0128] It should be understood that the safety status assessment index in this embodiment is used to quantitatively assess the safety level of the high-voltage switchgear. The smaller the circuit breaker chassis operation abnormality assessment value and the high-voltage switchgear internal environment abnormality assessment value, the larger the corresponding safety status assessment index, indicating that the high-voltage switchgear is safer and subsequent operations can be performed.

[0129] In this embodiment and They are safety status influencing factors corresponding to the abnormal operation evaluation value of the circuit breaker chassis vehicle and the abnormal internal environment evaluation value of the high-voltage switch cabinet preset in the switch cabinet database, respectively, and represent the numerical values ​​of the degree of influence of the abnormal operation evaluation value of the circuit breaker chassis vehicle and the abnormal internal environment evaluation value of the high-voltage switch cabinet on the safety status evaluation index, and can be directly obtained from the prefabricated database when used. For example, a mapping set is formed by combining the volume of the switch cabinet with the safety status influencing factors corresponding to the abnormal operation evaluation value of the circuit breaker chassis vehicle and the abnormal internal environment evaluation value of the high-voltage switch cabinet preset in the switch cabinet database, and the safety status influencing factors corresponding to the abnormal operation evaluation value of the circuit breaker chassis vehicle and the abnormal internal environment evaluation value of the high-voltage switch cabinet are obtained according to the mapping set input of the volume of the switch cabinet, wherein the mapping relationship is a one-to-many relationship. In this embodiment, the value range of the influencing factor is between 0 and 1.

[0130] The safety status assessment index threshold is obtained from the switch cabinet database, and the safety status assessment index is compared with the safety status assessment index threshold. If the safety status assessment index is greater than or equal to the safety status assessment index threshold, the high-voltage switch cabinet state is assessed to be a safe state, and the final position of the circuit breaker chassis vehicle is obtained to determine whether the closing conditions are met.

[0131] If the safety status assessment index is less than the safety status assessment index threshold, the high-voltage switchgear state is assessed to be abnormal, the current operation is terminated, and feedback is given to relevant personnel.

[0132] Specifically, the safety status assessment is performed according to the abnormal operation assessment value of the circuit breaker chassis vehicle and the abnormal internal environment assessment value of the high-voltage switch cabinet, and also includes: safety monitoring of the operation process of the circuit breaker chassis vehicle.

[0133] Several time monitoring points are deployed in the operation process of the circuit breaker chassis to obtain the abnormal operation assessment value of the circuit breaker chassis and the abnormal internal environment assessment value of the high-voltage switchgear at each time monitoring point.

[0134] The circuit breaker chassis operation abnormality assessment threshold and the high-voltage switchgear internal environment abnormality assessment threshold are obtained from the switchgear database, and the circuit breaker chassis operation abnormality assessment value and the high-voltage switchgear internal environment abnormality assessment value at each time monitoring point are compared with the circuit breaker chassis operation abnormality assessment threshold and the high-voltage switchgear internal environment abnormality assessment threshold respectively.

[0135] If the circuit breaker chassis vehicle operation abnormality assessment value at a monitoring point at a certain time is greater than or equal to the circuit breaker chassis vehicle operation abnormality assessment threshold, or the high-voltage switchgear internal environment abnormality assessment value is greater than or equal to the high-voltage switchgear internal environment abnormality assessment threshold, then the high-voltage switchgear state is assessed as abnormal, the circuit breaker chassis vehicle is stopped from moving immediately, and feedback is given to relevant personnel.

[0136] If the circuit breaker chassis operation abnormality assessment value at a monitoring point at a certain time is less than the circuit breaker chassis operation abnormality assessment threshold, and the high-voltage switchgear internal environment abnormality assessment value is less than the high-voltage switchgear internal environment abnormality assessment threshold, the high-voltage switchgear state is assessed to be a safe state and no interference operation is performed.

[0137] Specifically, the final position of the circuit breaker chassis is obtained to determine whether to close the circuit. The specific process is: obtain the final position of the circuit breaker chassis, extract the reference final position of the circuit breaker chassis from the switch cabinet database, extract the deviation distance between the final position of the circuit breaker chassis and the reference final position of the circuit breaker chassis, and mark it as the chassis terminal deviation distance.

[0138] It should be understood that the final position of the circuit breaker chassis in this embodiment refers to the circuit breaker chassis position monitoring point, which may be the center point of the circuit breaker chassis. The actual position of the circuit breaker chassis position monitoring point may be obtained through a position sensor.

[0139] The allowable end point deviation distance is obtained from the switch cabinet database, and the chassis vehicle end point deviation distance is compared with the allowable end point deviation distance. If the chassis vehicle end point deviation distance is greater than the allowable end point deviation distance, closing the switch is not allowed, and an early warning is given to relevant personnel.

[0140] If the chassis vehicle end point deviation distance is less than or equal to the allowable end point deviation distance, the switch is closed and energized.

[0141] In a specific embodiment, it also includes a one-key tripping operation, and the specific process is: obtain a one-key tripping command, and determine whether the tripping is successful. If the tripping is successful, the circuit breaker chassis vehicle push-out operation is automatically executed, and the circuit breaker chassis vehicle operation abnormality assessment value and the high-voltage switch cabinet internal environment abnormality assessment value during the circuit breaker chassis vehicle push-out process are monitored. If an abnormal state occurs during the circuit breaker chassis vehicle push-out process, the circuit breaker chassis vehicle push-out operation is immediately terminated and feedback is given to relevant personnel. If no abnormal state occurs during the circuit breaker chassis vehicle push-out process, the circuit breaker chassis vehicle push-out operation continues to be executed. When the circuit breaker chassis vehicle is pushed into place, the execution valve and the execution ground knife are closed.

[0142] The switch cabinet database is used to store high-voltage switch cabinet related data, including chassis vehicle reference standard image, chassis vehicle movement reference sound frequency and allowable deviation sound frequency and other indicators. The data in the switch cabinet database can be obtained by performing regular or irregular tests on the running high-voltage switch cabinet to obtain actual test data, including tests on chassis vehicle movement, sound, electricity and other aspects.

[0143] In a specific embodiment, the present invention provides an artificial intelligence-based high-voltage switchgear safety status assessment system and method to monitor the working status of the valve, effectively prevent the risk of live operation, and analyze the working status of the chassis vehicle and the internal environment of the high-voltage switchgear. It comprehensively evaluates the abnormal operation of the chassis vehicle based on various data, promptly discovers potential problems, ensures the stable operation of the equipment, improves the safety of the closing operation, and helps to comprehensively and accurately assess the safety status of the high-voltage switchgear, effectively preventing the occurrence of faults and accidents.

[0144] Reference Figure 2 As shown, the second aspect of the present invention provides a high-voltage switch cabinet safety status assessment method based on artificial intelligence, including: collecting valve working status data, judging the valve working status, collecting grounding knife switch working status data, and judging the grounding knife switch working status.

[0145] The circuit breaker chassis is started according to the working status of the valve, and the operation data of the circuit breaker chassis is collected. The abnormal operation evaluation value of the circuit breaker chassis is obtained through comprehensive analysis. The internal environmental data of the high-voltage switchgear is monitored, and the abnormal internal environmental evaluation value of the high-voltage switchgear is obtained through comprehensive analysis.

[0146] The safety status is assessed based on the abnormal operation assessment value of the circuit breaker chassis and the abnormal internal environment assessment value of the high-voltage switchgear, and the final position of the circuit breaker chassis is obtained to determine whether the closing conditions are met.

[0147] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. As long as they do not deviate from the structure of the present invention or exceed the scope defined by the present invention, they should all belong to the protection scope of the present invention.

Claims

1. The artificial intelligence-based high-voltage switchgear safety status assessment system is characterized by: include: The valve state monitoring module includes a valve working state monitoring unit and a grounding knife switch working state monitoring unit. The valve working state monitoring unit is used to collect valve working state data and judge the valve working state; the grounding knife switch working state monitoring unit is used to collect grounding knife switch working state data and judge the grounding knife switch working state; The switch cabinet safety status assessment module includes a chassis vehicle working status analysis unit and a switch cabinet internal environment monitoring unit. The chassis vehicle working status analysis unit is used to start the circuit breaker chassis vehicle according to the chassis vehicle working status, and collect the operation data of the circuit breaker chassis vehicle, and comprehensively analyze to obtain the circuit breaker chassis vehicle operation abnormality assessment value; the switch cabinet internal environment monitoring unit is used to monitor the internal environment data of the high-voltage switch cabinet, and comprehensively analyze to obtain the internal environment abnormality assessment value of the high-voltage switch cabinet; The closing condition verification module is used to evaluate the safety status based on the abnormal operation evaluation value of the circuit breaker chassis and the abnormal internal environment evaluation value of the high-voltage switch cabinet, and obtain the final position of the circuit breaker chassis to determine whether the closing condition is met; The operation data of the circuit breaker chassis vehicle is collected and comprehensively analyzed to obtain the abnormal operation evaluation value of the circuit breaker chassis vehicle. The specific analysis process is as follows: the operation data of the circuit breaker chassis vehicle includes the position data and power data of the circuit breaker chassis vehicle; According to the position data of the circuit breaker chassis, the position abnormality of the circuit breaker chassis is judged, and the apparent abnormality evaluation parameters of the circuit breaker chassis are obtained by processing; According to the power data of the circuit breaker chassis, it is judged that the state of the circuit breaker chassis is abnormal, and the power abnormality evaluation parameters of the circuit breaker chassis are obtained by processing; According to the apparent abnormality evaluation parameters and power abnormality evaluation parameters of the circuit breaker chassis, the operation abnormality evaluation value of the circuit breaker chassis is obtained by comprehensive analysis; The processing obtains the apparent abnormality evaluation parameters of the circuit breaker chassis vehicle, and the specific process is: the video data of the circuit breaker chassis vehicle, including the chassis vehicle moving distance and the real-time position image of the chassis vehicle at each time monitoring point; Obtain the chassis vehicle image allowable deviation pixel value, chassis vehicle allowable deviation movement distance, chassis vehicle reference standard image and chassis vehicle reference movement distance at each time monitoring point from the switch cabinet database, deploy several pixel screening points, collect the pixel values ​​of each pixel screening point of the chassis vehicle real-time image and the pixel values ​​of the corresponding pixel screening points on the chassis vehicle reference standard image, and comprehensively analyze to obtain the video abnormality index of the circuit breaker chassis vehicle; The audio data of the circuit breaker chassis vehicle is collected, and the audio data includes the volume and sound frequency of each time monitoring point. The reference sound frequency and the allowable deviation sound frequency of the chassis vehicle movement are obtained from the switch cabinet database. Combined with the video abnormality index of the circuit breaker chassis vehicle, the apparent abnormality evaluation parameters of the circuit breaker chassis vehicle are obtained through comprehensive analysis.

2. The artificial intelligence-based high-voltage switchgear safety status assessment system according to claim 1 is characterized in that: The specific process of collecting valve working status data and determining the valve working status is as follows: The valve working state data includes travel switch position data and valve video data; According to the travel switch position data, determine whether the valve is open, and according to the valve video data, analyze and obtain the valve abnormality assessment value, and use the double authentication method to determine the valve working status; Obtain the valve abnormality assessment threshold from the switch cabinet database, compare the valve abnormality assessment value with the valve abnormality assessment threshold, if the valve abnormality assessment value is greater than or equal to the valve abnormality assessment threshold, then the valve working state is judged to be an abnormal state, if the valve abnormality assessment value is less than the valve abnormality assessment threshold, then the valve working state is judged to be a normal state.

3. The artificial intelligence-based high-voltage switchgear safety status assessment system according to claim 1 is characterized in that: The processing obtains the power anomaly assessment parameters of the circuit breaker chassis vehicle, and the specific analysis process is as follows: Collecting power data of the circuit breaker chassis vehicle, wherein the power data includes power parameter values ​​at each time monitoring point; The reference value of each power parameter and the allowable deviation value of each power parameter are obtained from the switch cabinet database, and the power anomaly assessment parameters of the circuit breaker chassis are obtained through comprehensive analysis.

4. The artificial intelligence-based high-voltage switchgear safety status assessment system according to claim 1 is characterized in that: The comprehensive analysis obtains the abnormal evaluation value of the internal environment of the high-voltage switch cabinet. The specific analysis process is as follows: Deploy several environmental monitoring points, and the internal environmental data of the high-voltage switch cabinet includes ozone concentration, temperature and suspended particulate matter concentration at each environmental monitoring point; The critical ozone concentration, reference ambient temperature, allowable deviation ambient temperature and critical suspended particulate matter concentration are obtained from the switch cabinet database, and the abnormal evaluation value of the internal environment of the high-voltage switch cabinet is obtained through comprehensive analysis.

5. The artificial intelligence-based high-voltage switchgear safety status assessment system according to claim 1 is characterized in that: The specific process of performing safety status assessment based on the abnormal operation assessment value of the circuit breaker chassis vehicle and the abnormal internal environment assessment value of the high-voltage switch cabinet is as follows: According to the abnormal operation evaluation value of the circuit breaker chassis and the abnormal internal environment evaluation value of the high-voltage switch cabinet, the safety status evaluation index is obtained through comprehensive analysis; Obtain the safety status assessment index threshold from the switch cabinet database, compare the safety status assessment index with the safety status assessment index threshold, and if the safety status assessment index is greater than or equal to the safety status assessment index threshold, then the high-voltage switch cabinet state is assessed to be a safe state, and obtain the final position of the circuit breaker chassis to determine whether the closing condition is met; If the safety status assessment index is less than the safety status assessment index threshold, the high-voltage switchgear state is assessed to be abnormal, the current operation is terminated, and feedback is given to relevant personnel.

6. The artificial intelligence-based high-voltage switchgear safety status assessment system according to claim 1 is characterized in that: The safety status assessment according to the abnormal operation assessment value of the circuit breaker chassis vehicle and the abnormal internal environment assessment value of the high-voltage switch cabinet also includes: safety monitoring of the operation process of the circuit breaker chassis vehicle; Deploy several time monitoring points during the operation of the circuit breaker chassis, and obtain the circuit breaker chassis operation abnormality assessment value and the high-voltage switchgear internal environment abnormality assessment value at each time monitoring point; Obtain the circuit breaker chassis vehicle operation abnormality assessment threshold and the high-voltage switch cabinet internal environment abnormality assessment threshold from the switch cabinet database, and compare the circuit breaker chassis vehicle operation abnormality assessment value and the high-voltage switch cabinet internal environment abnormality assessment value at each time monitoring point with the circuit breaker chassis vehicle operation abnormality assessment threshold and the high-voltage switch cabinet internal environment abnormality assessment threshold respectively; If the circuit breaker chassis vehicle operation abnormality assessment value at a monitoring point at a certain time is greater than or equal to the circuit breaker chassis vehicle operation abnormality assessment threshold, or the high-voltage switchgear internal environment abnormality assessment value is greater than or equal to the high-voltage switchgear internal environment abnormality assessment threshold, the high-voltage switchgear state is assessed as abnormal, the circuit breaker chassis vehicle is stopped from moving immediately, and feedback is given to relevant personnel; If the circuit breaker chassis operation abnormality assessment value at a monitoring point at a certain time is less than the circuit breaker chassis operation abnormality assessment threshold, and the high-voltage switchgear internal environment abnormality assessment value is less than the high-voltage switchgear internal environment abnormality assessment threshold, the high-voltage switchgear state is assessed to be a safe state and no interference operation is performed.

7. The artificial intelligence-based high-voltage switchgear safety status assessment system according to claim 1 is characterized in that: The process of obtaining the final position of the circuit breaker chassis and determining whether to close the circuit breaker is as follows: The final position of the circuit breaker chassis is obtained, and the reference final position of the circuit breaker chassis is extracted from the switch cabinet database, and the deviation distance between the final position of the circuit breaker chassis and the reference final position of the circuit breaker chassis is extracted, and marked as the chassis terminal deviation distance; The allowable end point deviation distance is obtained from the switch cabinet database, and the chassis end point deviation distance is compared with the allowable end point deviation distance. If the chassis end point deviation distance is greater than the allowable end point deviation distance, closing the switch is not allowed, and an early warning is given to relevant personnel; If the chassis vehicle end point deviation distance is less than or equal to the allowable end point deviation distance, the switch is closed and energized.

8. A method for applying the artificial intelligence-based high-voltage switchgear safety status assessment system according to any one of claims 1 to 7, characterized in that: include: Collect valve working status data to determine the valve working status, collect grounding switch working status data to determine the grounding switch working status; The circuit breaker chassis is started according to the working status of the valve, and the operation data of the circuit breaker chassis is collected, and the abnormal operation evaluation value of the circuit breaker chassis is obtained by comprehensive analysis. The internal environment data of the high-voltage switch cabinet is monitored, and the abnormal internal environment evaluation value of the high-voltage switch cabinet is obtained by comprehensive analysis; The safety status is assessed based on the abnormal operation assessment value of the circuit breaker chassis and the abnormal internal environment assessment value of the high-voltage switchgear, and the final position of the circuit breaker chassis is obtained to determine whether the closing conditions are met.

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