Switchgear Remote Monitoring System Based on Image Analysis

Abstract

The present invention relates to the technical field of remote monitoring of switch cabinets, and specifically discloses a remote monitoring system for switch cabinets based on image analysis. By analyzing the external health status of the switch cabinet corresponding to the current monitoring period, and performing corresponding display processing and early warning processing, the dependence on manpower is reduced to a certain extent, the cost and labor intensity of manual inspections are reduced, and the timeliness and accuracy of monitoring are improved, providing strong data support for the maintenance and management of the switch cabinet, and effectively preventing potential failures and accidents. By performing an overlap comparison analysis of the contours of the internal components of the switch cabinet corresponding to the current monitoring period with the initial contour based on images, and analyzing the temperature of the switch cabinet corresponding to the current monitoring period based on thermal imaging images, potential failures or abnormal overheating conditions are discovered in time, so that measures can be taken in advance to avoid the expansion of failures and ensure the stable operation of the power system, making the evaluation results more scientific and reasonable.

Description

Technical Field

[0001] The present invention relates to the technical field of remote monitoring of switch cabinets, and in particular to a remote monitoring system of switch cabinets based on image analysis. Background Art

[0002] Switchgear is one of the key equipment in the power system, and since switchgear is usually located at the key node of the power system, its stable operation is crucial to ensure the continuity and reliability of power supply. By monitoring the safe operation of switchgear, potential problems can be discovered and solved in a timely manner, the probability of power failure can be reduced, and the stable operation of the power system can be ensured, thus highlighting the importance of remote monitoring of switchgear.

[0003] Switchgear is often located in a complex and ever-changing environment, and its operation faces many challenges. The state of the exterior of the cabinet is easily affected by external factors, resulting in problems such as coating aging, rust, and deformation. Existing cabinet inspection methods mostly rely on manual regular inspections, which is not only inefficient, but also difficult to achieve real-time monitoring and unable to detect potential hidden dangers in a timely manner. At the same time, the working condition of the internal components of the switchgear is crucial to the overall performance, but the current inspection and analysis of internal components mostly relies on the experience of maintenance personnel and lacks advanced image analysis and data processing technology, resulting in misjudgments and missed judgments from time to time. These problems seriously threaten the safe and stable operation of the switchgear.

[0004] In order to solve the above defects, a technical solution is now provided. Summary of the invention

[0005] The purpose of the present invention is to provide a switch cabinet remote monitoring system based on image analysis to solve the problems raised in the above background.

[0006] The object of the present invention can be achieved by the following technical solution: A switch cabinet remote monitoring system based on image analysis, comprising:

[0007] The cabinet door switch status monitoring module is used to monitor and analyze the switch status of the cabinet door corresponding to the switch cabinet. If the switch status of the cabinet door corresponding to the switch cabinet is open, the remote early warning terminal is started. On the contrary, if the switch status of the cabinet door of the switch cabinet is closed, the cabinet external monitoring module is executed;

[0008] The cabinet external monitoring module is used to monitor and analyze the cabinet external of the switch cabinet corresponding to the current monitoring period. If the cabinet external health status of the switch cabinet corresponding to the current monitoring period is abnormal, the remote early warning terminal is started. On the contrary, if the cabinet external health status of the switch cabinet corresponding to the current monitoring period is normal, the remote display terminal is started;

[0009] The cabinet internal monitoring module is used to monitor and analyze the interior of the switch cabinet corresponding to the current monitoring period, and obtain the cabinet internal health assessment index of the switch cabinet corresponding to the current monitoring period;

[0010] The health status analysis module is used to analyze the internal health status of the switch cabinet corresponding to the current monitoring period. If the internal health status of the switch cabinet corresponding to the current monitoring period is abnormal, the abnormal level analysis module is executed. Otherwise, the internal health status of the switch cabinet corresponding to the current monitoring period is normal and sent to the remote display terminal;

[0011] The abnormality level analysis module is used to analyze the abnormality level of the switch cabinet corresponding to the current monitoring period and send it to the remote warning terminal;

[0012] Remote warning terminal, used to send remote warning information to the designated equipment of the corresponding monitoring personnel of the switch cabinet, and perform corresponding warning operations at the same time;

[0013] The remote display terminal is used to send remote display information to the designated device of the corresponding monitoring personnel of the switch cabinet, and perform corresponding early warning operations at the same time.

[0014] Preferably, the switch status of the corresponding cabinet door of the switch cabinet is monitored and analyzed, and the specific execution process is as follows:

[0015] The displacement of the cabinet door is detected by a displacement sensor installed on the switch cabinet, and the displacement data of the cabinet door corresponding to the switch cabinet is obtained, which is recorded as a mark displacement;

[0016] The marked displacement of the switch cabinet door corresponding to the switch cabinet is compared with the set reference displacement. If the marked displacement of the switch cabinet door is greater than or equal to the set reference displacement, the switch state of the switch cabinet door corresponding to the switch cabinet is determined to be open; otherwise, the switch state of the switch cabinet door corresponding to the switch cabinet is determined to be closed.

[0017] Preferably, the external part of the switch cabinet corresponding to the current monitoring period is monitored and analyzed, and the specific execution process is as follows:

[0018] The intelligent camera is used to collect all-round images of the exterior of the switch cabinet during the current monitoring period, so as to obtain an all-round image of the exterior of the switch cabinet during the current monitoring period;

[0019] Identify each abnormal area from the omnidirectional image of the exterior of the switch cabinet during the current monitoring period, and extract the image of each abnormal area of ​​the exterior of the switch cabinet during the current monitoring period from the omnidirectional image of the exterior of the switch cabinet during the current monitoring period;

[0020] Match the images of each abnormal area on the outside of the switch cabinet during the current monitoring period with the images of the area corresponding to each abnormal type, and obtain the abnormal type of each abnormal area on the outside of the switch cabinet during the current monitoring period, where the abnormal type is specifically a coating abnormal type, a rust abnormal type, and a deformation abnormal type, and classify the abnormal areas on the outside of the switch cabinet during the current monitoring period based on the abnormal type of each abnormal area on the outside of the switch cabinet during the current monitoring period, and obtain each coating abnormal area, each corrosion abnormal area, and each deformation abnormal area on the outside of the switch cabinet during the current monitoring period;

[0021] Extracting the areas of each coating abnormal area, each corrosion abnormal area, and each deformation abnormal area on the outside of the switch cabinet during the current monitoring period from the image of each abnormal area on the outside of the switch cabinet during the current monitoring period;

[0022] The areas of each coating abnormality area on the outside of the switch cabinet corresponding to the current monitoring period are added and calculated to obtain the total area of ​​the coating abnormality area on the outside of the switch cabinet corresponding to the current monitoring period. At the same time, the number of coating abnormality areas on the outside of the switch cabinet corresponding to the current monitoring period is counted, which are recorded as S 涂层 、N 涂层 ;

[0023] The areas of each abnormal corrosion area on the outside of the switch cabinet corresponding to the current monitoring period are added and calculated to obtain the total area of ​​the abnormal corrosion area on the outside of the switch cabinet corresponding to the current monitoring period. At the same time, the number of abnormal corrosion areas on the outside of the switch cabinet corresponding to the current monitoring period is counted, which are recorded as S 腐蚀 、N 腐蚀 ;

[0024] The areas of each abnormal deformation area on the outside of the switch cabinet corresponding to the current monitoring period are added and calculated to obtain the total area of ​​the abnormal deformation area on the outside of the switch cabinet corresponding to the current monitoring period. At the same time, the number of abnormal deformation areas on the outside of the switch cabinet corresponding to the current monitoring period is counted, which are recorded as S 变形 、N 变形 ;

[0025] According to the formula Calculate the switch cabinet external health evaluation index WB corresponding to the current monitoring period, where a1, a2, a3, a4, a5, and a6 are respectively represented as the set weight factors;

[0026] The width of each gap on the outside of the switch cabinet corresponding to the current monitoring period is extracted from the omnidirectional image of the outside of the switch cabinet corresponding to the current monitoring period, and is recorded as D i, i represents the number of each gap, i = 1, 2, ..., m, m represents the total number of gap numbers, and the initial gap width corresponding to each gap is extracted from the initial gap width corresponding to each gap stored in the system library, recorded as D i ', through comprehensive analysis, the switch cabinet external gap matching evaluation index FP corresponding to the current monitoring period is obtained;

[0027] The cabinet external vent area is obtained from the omnidirectional image of the cabinet exterior during the current monitoring period of the switch cabinet, and the cabinet external vent area image is segmented from it, thereby obtaining the cabinet external vent area image of the switch cabinet corresponding to the current monitoring period, and the area of ​​the blockages at each location is identified and summed up, thereby obtaining the total area of ​​the blockages in the cabinet external vent area of ​​the switch cabinet corresponding to the current monitoring period, recorded as S 堵塞物 , according to the formula Calculate the blockage evaluation index DS, S of the ventilation opening area outside the switch cabinet corresponding to the current monitoring period 通风口 Expressed as the total ventilation opening area outside the cabinet;

[0028] According to the formula Calculate the external health assessment index WK of the switch cabinet corresponding to the current monitoring period, where b1, b2, and b3 represent the set proportional factors respectively;

[0029] The external health assessment index of the switch cabinet corresponding to the current monitoring period is compared with the set cabinet external health assessment index threshold. If the external health assessment index of the switch cabinet corresponding to the current monitoring period is less than the set cabinet external health assessment index threshold, the cabinet external health state is judged to be abnormal; otherwise, the cabinet external health state is judged to be normal.

[0030] Preferably, the interior of the switch cabinet corresponding to the current monitoring period is monitored and analyzed, and the specific execution steps are as follows:

[0031] The internal images of the switch cabinet corresponding to each monitoring time point in the current monitoring period are collected by the intelligent camera, and the internal images of the switch cabinet corresponding to each monitoring time point in the current monitoring period are obtained, and the contours of each component inside the cabinet are identified therefrom, thereby obtaining the contours of each component inside the switch cabinet corresponding to each monitoring time point in the current monitoring period, and extracting the initial contours corresponding to each component inside the cabinet based on the initial contours corresponding to each component inside the cabinet stored in the system repository, and at the same time, the contours of each component inside the switch cabinet corresponding to each monitoring time point in the current monitoring period are overlapped and compared with the initial contours corresponding to each component inside the cabinet, and the contour overlap area of ​​each component inside the switch cabinet corresponding to each monitoring time point in the current monitoring period is obtained, which is recorded as The initial contour area corresponding to each component inside the cabinet is extracted based on the initial contour area corresponding to each component inside the cabinet stored in the system library, and is recorded as S j ', j represents the number of each component inside the cabinet, j = 1, 2, ...., n, n represents the total number of component numbers inside the cabinet, f represents the number of each monitoring time point, f = 1, 2, ...., g, g represents the total number of monitoring time point numbers;

[0032] According to the formula Calculate the switch cabinet internal contour coincidence evaluation index KH, ΔS corresponding to the current monitoring period j It is expressed as the reference contour area difference of each component inside the cabinet. It is represented as the contour overlap area of ​​the j-th cabinet internal component corresponding to the f-1-th monitoring time point in the current monitoring period, and c1 and c2 are respectively represented as the set evaluation factors;

[0033] The detection area points inside the switch cabinet are evenly arranged in a set manner to obtain the detection area points inside the switch cabinet. The thermal imaging images of the detection area points inside the switch cabinet corresponding to the monitoring time points in the current monitoring period are collected by an infrared thermal imaging camera to obtain the thermal imaging images of the detection area points inside the switch cabinet corresponding to the monitoring time points in the current monitoring period, and the color of each detection area point is identified and matched with the temperature-color comparison table stored in the system repository, thereby obtaining the temperature of each detection area point inside the switch cabinet corresponding to each monitoring time point in the current monitoring period, which is recorded as k represents the number of each detection area point, k = 1, 2, ...., l, l represents the total number of detection area point numbers;

[0034] Extract the atmospheric temperature of each monitoring period from the system repository, and extract the atmospheric temperature of the current monitoring period from it, and at the same time match the atmospheric temperature of the current monitoring period with the reference temperature inside the switch cabinet corresponding to each set atmospheric temperature, and obtain the reference temperature WD' inside the switch cabinet corresponding to the current monitoring period;

[0035] According to the formula Calculate the temperature and health evaluation index DK of the switch cabinet corresponding to the current monitoring period, ΔWD represents the set allowable temperature difference, and c3, c4, and c5 represent the set weight factors respectively;

[0036] The internal health assessment index NK of the switch cabinet corresponding to the current monitoring period is calculated according to the formula NK=ln(1+KH×d1+DK×d2), where d1 and d2 represent the set proportional factors respectively.

[0037] Preferably, the internal health status of the switch cabinet corresponding to the current monitoring period is analyzed, and the specific analysis method is:

[0038] The internal health assessment index of the switch cabinet corresponding to the current monitoring period is compared with the set cabinet internal health assessment index threshold. If the internal health assessment index of the switch cabinet corresponding to the current monitoring period is less than the set cabinet internal health assessment index threshold, the cabinet internal health state is judged to be abnormal; otherwise, the cabinet internal health state is judged to be normal.

[0039] Preferably, the abnormal level of the switch cabinet corresponding to the current monitoring period is analyzed and sent to the remote warning terminal. The specific analysis method is as follows:

[0040] The internal health assessment index of the switch cabinet corresponding to the current monitoring period is subtracted from the set cabinet internal health assessment index threshold to obtain the cabinet internal health assessment index difference of the switch cabinet corresponding to the current monitoring period, and it is matched with the cabinet internal health assessment index difference corresponding to each set abnormal level to obtain the abnormal level of the switch cabinet corresponding to the current monitoring period.

[0041] Beneficial effects of the present invention:

[0042] 1. The present invention monitors and analyzes the switch status of the switch cabinet door and initiates corresponding operations according to the switch status, thereby greatly improving the safety and standardization of the switch cabinet operation, thereby providing a reliable guarantee for the stable operation of the power system.

[0043] 2. The present invention reduces the dependence on manpower to a certain extent, reduces the cost and labor intensity of manual inspection, and improves the timeliness and accuracy of monitoring, provides strong data support for the maintenance and management of the switch cabinet, and effectively prevents potential failures and accidents by analyzing the external health status of the switch cabinet corresponding to the current monitoring period and performing corresponding display processing and early warning processing.

[0044] 3. The present invention can accurately evaluate the deformation or displacement of components, timely discover potential faults or overheating abnormal conditions, and take measures in advance to avoid the expansion of faults and ensure the stable operation of the power system, by performing a comparative analysis of the overlap between the contours of the components inside the switch cabinet corresponding to the current monitoring period and the initial contours based on the image, and analyzing the temperature inside the switch cabinet corresponding to the current monitoring period based on the thermal imaging image.

[0045] 4. The present invention analyzes the abnormal level of the internal health status and abnormal health status of the switch cabinet corresponding to the current monitoring period, and performs corresponding display processing and early warning processing, thereby greatly improving the response efficiency of the abnormal state of the switch cabinet, enhancing the safety and reliability of the equipment, and helping to improve the intelligent level of switch cabinet operation and maintenance, and promoting the intelligent development of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The present invention will be further described below in conjunction with the accompanying drawings.

[0047] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0048] 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.

[0049] See also Figure 1 As shown, the present invention is a switch cabinet remote monitoring system based on image analysis, comprising:

[0050] Cabinet door switch status monitoring module, cabinet external monitoring module, cabinet internal monitoring module, health status analysis module, abnormal level analysis module, remote early warning terminal, remote display terminal and system repository.

[0051] The cabinet door switch status monitoring module is respectively connected to the cabinet external monitoring module and the remote early warning terminal, the cabinet external monitoring module is respectively connected to the cabinet internal monitoring module, the remote early warning terminal, the remote display terminal and the system storage repository, the cabinet internal monitoring module is respectively connected to the health status analysis module and the system storage repository, the health status analysis module is respectively connected to the abnormal level analysis module and the remote display terminal, and the abnormal level analysis module is connected to the remote early warning terminal.

[0052] The cabinet door switch status monitoring module is used to monitor and analyze the switch status of the corresponding cabinet door of the switch cabinet. The specific execution steps are as follows:

[0053] The displacement of the cabinet door is detected by a displacement sensor installed on the switch cabinet, wherein the displacement of the cabinet door is specifically: the relative position change between the cabinet door and the switch cabinet body is obtained by the displacement sensor, and the final displacement amount is determined therefrom as the displacement data of the cabinet door, and the displacement data of the cabinet door corresponding to the switch cabinet is obtained, which is recorded as the mark displacement;

[0054] The marked displacement of the door corresponding to the switch cabinet is compared with the set reference displacement. If the marked displacement of the door of the switch cabinet is greater than or equal to the set reference displacement, the switch state of the door corresponding to the switch cabinet is determined to be an open state. Otherwise, the switch state of the door corresponding to the switch cabinet is determined to be a closed state.

[0055] If the switch state of the switch cabinet corresponding to the cabinet door is open, the remote early warning terminal is started. Conversely, if the switch state of the switch cabinet corresponding to the cabinet door is closed, the cabinet external monitoring module is executed.

[0056] It should be noted that the present invention greatly improves the safety and standardization of switch cabinet operation by monitoring and analyzing the switch status of the switch cabinet door and initiating corresponding operations according to the switch status, thereby providing reliable guarantee for the stable operation of the power system.

[0057] The cabinet external monitoring module is used to monitor and analyze the cabinet exterior of the switch cabinet corresponding to the current monitoring period. The specific monitoring and analysis process is as follows:

[0058] The intelligent camera is used to collect all-round images of the exterior of the switch cabinet during the current monitoring period, thereby obtaining an all-round image of the exterior of the switch cabinet during the current monitoring period;

[0059] Identify each abnormal area from the omnidirectional image of the exterior of the switch cabinet during the current monitoring period, and extract the image of each abnormal area of ​​the exterior of the switch cabinet during the current monitoring period from the omnidirectional image of the exterior of the switch cabinet during the current monitoring period;

[0060] Match the images of each abnormal area on the outside of the switch cabinet during the current monitoring period with the images of the area corresponding to each abnormal type, and obtain the abnormal type of each abnormal area on the outside of the switch cabinet during the current monitoring period, where the abnormal type is specifically a coating abnormal type, a rust abnormal type, and a deformation abnormal type, and classify the abnormal areas on the outside of the switch cabinet during the current monitoring period based on the abnormal type of each abnormal area on the outside of the switch cabinet during the current monitoring period, and obtain each coating abnormal area, each corrosion abnormal area, and each deformation abnormal area on the outside of the switch cabinet during the current monitoring period;

[0061] It should be noted that coating abnormalities include coating peeling, coating flaking, and coating fading; rust abnormalities include rust marks and corrosion spots; and deformation abnormalities include dents, bulges, scratches, and breakages.

[0062] Extracting the areas of each coating abnormal area, each corrosion abnormal area, and each deformation abnormal area on the outside of the switch cabinet during the current monitoring period from the image of each abnormal area on the outside of the switch cabinet during the current monitoring period;

[0063] The areas of each coating abnormality area on the outside of the switch cabinet corresponding to the current monitoring period are added and calculated to obtain the total area of ​​the coating abnormality area on the outside of the switch cabinet corresponding to the current monitoring period. At the same time, the number of coating abnormality areas on the outside of the switch cabinet corresponding to the current monitoring period is counted, which are recorded as S 涂层 、N 涂层 ;

[0064] The areas of each abnormal corrosion area on the outside of the switch cabinet corresponding to the current monitoring period are added and calculated to obtain the total area of ​​the abnormal corrosion area on the outside of the switch cabinet corresponding to the current monitoring period. At the same time, the number of abnormal corrosion areas on the outside of the switch cabinet corresponding to the current monitoring period is counted, which are recorded as S 腐蚀 、N 腐蚀 ;

[0065] The areas of each abnormal deformation area on the outside of the switch cabinet corresponding to the current monitoring period are added and calculated to obtain the total area of ​​the abnormal deformation area on the outside of the switch cabinet corresponding to the current monitoring period. At the same time, the number of abnormal deformation areas on the outside of the switch cabinet corresponding to the current monitoring period is counted, which are recorded as S 变形 、N 变形 ;

[0066] According to the formula Calculate the switch cabinet external health evaluation index WB corresponding to the current monitoring period, where a1, a2, a3, a4, a5, and a6 are respectively represented as the set weight factors;

[0067] The width of each gap on the outside of the switch cabinet corresponding to the current monitoring period is extracted from the omnidirectional image of the outside of the switch cabinet corresponding to the current monitoring period, and is recorded as D i , i represents the number of each gap, i = 1, 2, ..., m, m represents the total number of gap numbers, and the initial gap width corresponding to each gap is extracted from the initial gap width corresponding to each gap stored in the system library, recorded as D i ';

[0068] It should be noted that the gaps include but are not limited to the connection between the cabinet door panel and the cabinet frame, the connection between the side panel and the top panel, and the connection between the bottom panel;

[0069] According to the formula Calculate the switch cabinet external gap matching evaluation index FP corresponding to the current monitoring period, where e is represented by a natural constant, z is represented by a constant, and a7 and a8 are respectively represented by the set influencing factors;

[0070] The cabinet external vent area is obtained from the omnidirectional image of the cabinet exterior during the current monitoring period of the switch cabinet, and the cabinet external vent area image is segmented from it, thereby obtaining the cabinet external vent area image of the switch cabinet corresponding to the current monitoring period, and the area of ​​the blockages at each location is identified and summed up, thereby obtaining the total area of ​​the blockages in the cabinet external vent area of ​​the switch cabinet corresponding to the current monitoring period, recorded as S 堵塞物 , according to the formula Calculate the blockage evaluation index DS, S of the ventilation opening area outside the switch cabinet corresponding to the current monitoring period 通风口 Expressed as the total ventilation opening area outside the cabinet;

[0071] According to the formula Calculate the external health assessment index WK of the switch cabinet corresponding to the current monitoring period, where b1, b2, and b3 represent the set proportional factors respectively;

[0072] The cabinet external health assessment index of the switch cabinet corresponding to the current monitoring period is compared with the set cabinet external health assessment index threshold. If the cabinet external health assessment index of the switch cabinet corresponding to the current monitoring period is less than the set cabinet external health assessment index threshold, the cabinet external health state is judged to be abnormal; otherwise, the cabinet external health state is judged to be normal;

[0073] If the external health status of the switch cabinet corresponding to the current monitoring period is abnormal, the remote warning terminal is started. Conversely, if the external health status of the switch cabinet corresponding to the current monitoring period is normal, the remote display terminal is started.

[0074] It should be noted that the present invention reduces the dependence on manpower to a certain extent, reduces the cost and labor intensity of manual inspections, and improves the timeliness and accuracy of monitoring, provides strong data support for the maintenance and management of the switch cabinet, and effectively prevents potential failures and accidents by analyzing the external health status of the switch cabinet corresponding to the current monitoring period and performing corresponding display processing and early warning processing.

[0075] The cabinet internal monitoring module is used to monitor and analyze the interior of the switch cabinet corresponding to the current monitoring period. The specific monitoring and analysis process is as follows:

[0076] The internal images of the switch cabinet corresponding to each monitoring time point in the current monitoring period are collected by the intelligent camera, and the internal images of the switch cabinet corresponding to each monitoring time point in the current monitoring period are obtained, and the contours of each component inside the cabinet are identified therefrom, thereby obtaining the contours of each component inside the switch cabinet corresponding to each monitoring time point in the current monitoring period, and extracting the initial contours corresponding to each component inside the cabinet based on the initial contours corresponding to each component inside the cabinet stored in the system repository, and at the same time, the contours of each component inside the switch cabinet corresponding to each monitoring time point in the current monitoring period are overlapped and compared with the initial contours corresponding to each component inside the cabinet, and the contour overlap area of ​​each component inside the switch cabinet corresponding to each monitoring time point in the current monitoring period is obtained, which is recorded as The initial contour area corresponding to each component inside the cabinet is extracted based on the initial contour area corresponding to each component inside the cabinet stored in the system library, and is recorded as S j ', j represents the number of each component inside the cabinet, j = 1, 2, ...., n, n represents the total number of component numbers inside the cabinet, f represents the number of each monitoring time point, f = 1, 2, ...., g, g represents the total number of monitoring time point numbers;

[0077] It should be noted that the components inside the cabinet include but are not limited to circuit breakers, contactors, relays, busbars, insulators, fuses, and transformers;

[0078] According to the formula Calculate the switch cabinet internal contour coincidence evaluation index KH, ΔS corresponding to the current monitoring period j It is expressed as the reference contour area difference of each component inside the cabinet. It is represented as the contour overlap area of ​​the j-th cabinet internal component corresponding to the f-1-th monitoring time point in the current monitoring period, and c1 and c2 are respectively represented as the set evaluation factors;

[0079] The detection area points inside the switch cabinet are evenly arranged in a set manner to obtain the detection area points inside the switch cabinet. The thermal imaging images of the detection area points inside the switch cabinet corresponding to the monitoring time points in the current monitoring period are collected by an infrared thermal imaging camera to obtain the thermal imaging images of the detection area points inside the switch cabinet corresponding to the monitoring time points in the current monitoring period, and the color of each detection area point is identified and matched with the temperature-color comparison table stored in the system repository, thereby obtaining the temperature of each detection area point inside the switch cabinet corresponding to each monitoring time point in the current monitoring period, which is recorded as k represents the number of each detection area point, k = 1, 2, ...., l, l represents the total number of detection area point numbers;

[0080] Extract the atmospheric temperature of each monitoring period from the system repository, and extract the atmospheric temperature of the current monitoring period from it, and at the same time match the atmospheric temperature of the current monitoring period with the reference temperature inside the switch cabinet corresponding to each set atmospheric temperature, and obtain the reference temperature WD' inside the switch cabinet corresponding to the current monitoring period;

[0081] According to the formula Calculate the temperature and health evaluation index DK of the switch cabinet corresponding to the current monitoring period, ΔWD represents the set allowable temperature difference, and c3, c4, and c5 represent the set weight factors respectively;

[0082] The internal health assessment index NK of the switch cabinet corresponding to the current monitoring period is calculated according to the formula NK=ln(1+KH×d1+DK×d2), where d1 and d2 represent the set proportional factors respectively.

[0083] It should be noted that the present invention can accurately evaluate the deformation or displacement of components, and promptly discover potential faults or overheating abnormal conditions by performing an overlap comparison analysis of the contours of each component inside the switch cabinet corresponding to the current monitoring period with the initial contour based on the image, and analyzing the temperature inside the switch cabinet corresponding to the current monitoring period based on the thermal imaging image, so as to take measures in advance to avoid the expansion of faults and ensure the stable operation of the power system, making the evaluation results more scientific and reasonable.

[0084] The health status analysis module is used to analyze the internal health status of the switch cabinet corresponding to the current monitoring period. The specific analysis method is as follows:

[0085] Compare the internal health assessment index of the switch cabinet corresponding to the current monitoring period with the set cabinet internal health assessment index threshold. If the internal health assessment index of the switch cabinet corresponding to the current monitoring period is less than the set cabinet internal health assessment index threshold, the cabinet internal health state is judged to be abnormal; otherwise, the cabinet internal health state is judged to be normal;

[0086] If the internal health status of the switch cabinet corresponding to the current monitoring period is abnormal, the abnormal level analysis module is executed. Otherwise, the internal health status of the switch cabinet corresponding to the current monitoring period is normal and sent to the remote display terminal.

[0087] The abnormality level analysis module is used to analyze the abnormality level of the switch cabinet corresponding to the current monitoring period and send it to the remote warning terminal. The specific analysis method is as follows:

[0088] The internal health assessment index of the switch cabinet corresponding to the current monitoring period is subtracted from the set cabinet internal health assessment index threshold to obtain the cabinet internal health assessment index difference of the switch cabinet corresponding to the current monitoring period, and it is matched with the cabinet internal health assessment index difference corresponding to each set abnormal level to obtain the abnormal level of the switch cabinet corresponding to the current monitoring period.

[0089] It should be noted that the present invention analyzes the abnormal level of the internal health status and abnormal health status of the switch cabinet corresponding to the current monitoring period, and performs corresponding display processing and early warning processing, thereby greatly improving the response efficiency of the abnormal state of the switch cabinet, enhancing the safety and reliability of the equipment, and helping to improve the intelligent level of switch cabinet operation and maintenance, and promoting the intelligent development of the power system.

[0090] The remote warning terminal is used to send remote warning information to the designated equipment of the corresponding monitoring personnel of the switch cabinet, and perform corresponding warning operations at the same time.

[0091] The remote display terminal is used to send remote display information to the designated device of the corresponding monitoring personnel of the switch cabinet, and perform corresponding early warning operations at the same time.

[0092] The system repository is used to store the initial gap width corresponding to each gap, store the initial contour corresponding to each component inside the cabinet, store the temperature-color comparison table, and store the atmospheric temperature during each monitoring period.

[0093] The specific sizes of the weight factors, influence factors, proportional factors, evaluation factors, and weight factors involved in the present invention are not given. Their sizes are customized by technicians in this field according to actual use and stored in the system repository. The formulas involved are all customized empirical formulas, which are pre-stored in the system repository.

[0094] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. The switch cabinet remote monitoring system based on image analysis is characterized by: include: The cabinet door switch status monitoring module is used to monitor and analyze the switch status of the cabinet door corresponding to the switch cabinet. If the switch status of the cabinet door corresponding to the switch cabinet is open, the remote early warning terminal is started. On the contrary, if the switch status of the cabinet door of the switch cabinet is closed, the cabinet external monitoring module is executed; The cabinet external monitoring module is used to monitor and analyze the cabinet external of the switch cabinet corresponding to the current monitoring period. If the cabinet external health status of the switch cabinet corresponding to the current monitoring period is abnormal, the remote early warning terminal is started. On the contrary, if the cabinet external health status of the switch cabinet corresponding to the current monitoring period is normal, the remote display terminal is started; The cabinet internal monitoring module is used to monitor and analyze the interior of the switch cabinet corresponding to the current monitoring period, and obtain the cabinet internal health assessment index of the switch cabinet corresponding to the current monitoring period; The health status analysis module is used to analyze the internal health status of the switch cabinet corresponding to the current monitoring period. The specific analysis method is as follows: Compare the internal health assessment index of the switch cabinet corresponding to the current monitoring period with the set cabinet internal health assessment index threshold. If the internal health assessment index of the switch cabinet corresponding to the current monitoring period is less than the set cabinet internal health assessment index threshold, the cabinet internal health state is judged to be abnormal; otherwise, the cabinet internal health state is judged to be normal; If the internal health status of the switch cabinet corresponding to the current monitoring period is abnormal, the abnormal level analysis module is executed; otherwise, the internal health status of the switch cabinet corresponding to the current monitoring period is normal and sent to the remote display terminal; The abnormality level analysis module is used to analyze the abnormality level of the switch cabinet corresponding to the current monitoring period and send it to the remote warning terminal. The specific analysis method is as follows: The internal health assessment index of the switch cabinet corresponding to the current monitoring period is subtracted from the set cabinet internal health assessment index threshold to obtain the switch cabinet internal health assessment index difference corresponding to the current monitoring period, and the difference is matched with the cabinet internal health assessment index difference corresponding to each set abnormal level to obtain the abnormal level of the switch cabinet corresponding to the current monitoring period; Remote warning terminal, used to send remote warning information to the designated equipment of the corresponding monitoring personnel of the switch cabinet, and perform corresponding warning operations at the same time; The remote display terminal is used to send remote display information to the designated device of the corresponding monitoring personnel of the switch cabinet, and perform corresponding early warning operations at the same time.

2. The switch cabinet remote monitoring system based on image analysis according to claim 1 is characterized in that: The specific execution process of monitoring and analyzing the switch status of the corresponding cabinet door of the switch cabinet is as follows: The displacement of the cabinet door is detected by a displacement sensor installed on the switch cabinet, and the displacement data of the cabinet door corresponding to the switch cabinet is obtained, which is recorded as a mark displacement; The marked displacement of the switch cabinet door corresponding to the switch cabinet is compared with the set reference displacement. If the marked displacement of the switch cabinet door is greater than or equal to the set reference displacement, the switch state of the switch cabinet door corresponding to the switch cabinet is determined to be open; otherwise, the switch state of the switch cabinet door corresponding to the switch cabinet is determined to be closed.

3. The switch cabinet remote monitoring system based on image analysis according to claim 1 is characterized in that: The specific execution process of monitoring and analyzing the exterior of the switch cabinet corresponding to the current monitoring period is as follows: The intelligent camera is used to collect all-round images of the exterior of the switch cabinet during the current monitoring period, thereby obtaining an all-round image of the exterior of the switch cabinet during the current monitoring period; Identify each abnormal area from the omnidirectional image of the exterior of the switch cabinet during the current monitoring period, and extract the image of each abnormal area of ​​the exterior of the switch cabinet during the current monitoring period from the omnidirectional image of the exterior of the switch cabinet during the current monitoring period; Match the images of each abnormal area on the outside of the switch cabinet during the current monitoring period with the images of the area corresponding to each abnormal type, and obtain the abnormal type of each abnormal area on the outside of the switch cabinet during the current monitoring period, where the abnormal type is specifically a coating abnormal type, a rust abnormal type, and a deformation abnormal type, and classify the abnormal areas on the outside of the switch cabinet during the current monitoring period based on the abnormal type of each abnormal area on the outside of the switch cabinet during the current monitoring period, and obtain each coating abnormal area, each corrosion abnormal area, and each deformation abnormal area on the outside of the switch cabinet during the current monitoring period; Extracting the areas of each coating abnormal area, each corrosion abnormal area, and each deformation abnormal area on the outside of the switch cabinet during the current monitoring period from the image of each abnormal area on the outside of the switch cabinet during the current monitoring period; The areas of each coating abnormality area on the outside of the switch cabinet corresponding to the current monitoring period are added and calculated to obtain the total area of ​​the coating abnormality area on the outside of the switch cabinet corresponding to the current monitoring period. At the same time, the number of coating abnormality areas on the outside of the switch cabinet corresponding to the current monitoring period is counted, which are recorded as S 涂层 、N 涂层 ; The areas of each abnormal corrosion area on the outside of the switch cabinet corresponding to the current monitoring period are added and calculated to obtain the total area of ​​the abnormal corrosion area on the outside of the switch cabinet corresponding to the current monitoring period. At the same time, the number of abnormal corrosion areas on the outside of the switch cabinet corresponding to the current monitoring period is counted, which are recorded as S 腐蚀 、N 腐蚀 ; The areas of each abnormal deformation area on the outside of the switch cabinet corresponding to the current monitoring period are added and calculated to obtain the total area of ​​the abnormal deformation area on the outside of the switch cabinet corresponding to the current monitoring period. At the same time, the number of abnormal deformation areas on the outside of the switch cabinet corresponding to the current monitoring period is counted, which are recorded as S 变形 、N 变形 ; According to the formula Calculate the switch cabinet external health evaluation index WB corresponding to the current monitoring period, where a1, a2, a3, a4, a5, and a6 are respectively represented as the set weight factors; The width of each gap on the outside of the switch cabinet corresponding to the current monitoring period is extracted from the omnidirectional image of the outside of the switch cabinet corresponding to the current monitoring period, and is recorded as D i , i represents the number of each gap, i = 1, 2, ..., m, m represents the total number of gap numbers, and the initial gap width corresponding to each gap is extracted from the initial gap width corresponding to each gap stored in the system library, recorded as D i ', through comprehensive analysis, the switch cabinet external gap matching evaluation index FP corresponding to the current monitoring period is obtained; The cabinet external vent area is obtained from the omnidirectional image of the cabinet exterior during the current monitoring period of the switch cabinet, and the cabinet external vent area image is segmented from it, thereby obtaining the cabinet external vent area image of the switch cabinet corresponding to the current monitoring period, and the area of ​​the blockages at each location is identified and summed up, thereby obtaining the total area of ​​the blockages in the cabinet external vent area of ​​the switch cabinet corresponding to the current monitoring period, recorded as S 堵塞物 , according to the formula Calculate the blockage evaluation index DS, S of the ventilation opening area outside the switch cabinet corresponding to the current monitoring period 通风口 Expressed as the total ventilation opening area outside the cabinet; According to the formula Calculate the external health assessment index WK of the switch cabinet corresponding to the current monitoring period, where b1, b2, and b3 represent the set proportional factors respectively; The external health assessment index of the switch cabinet corresponding to the current monitoring period is compared with the set cabinet external health assessment index threshold. If the external health assessment index of the switch cabinet corresponding to the current monitoring period is less than the set cabinet external health assessment index threshold, the cabinet external health state is judged to be abnormal; otherwise, the cabinet external health state is judged to be normal.

4. The switch cabinet remote monitoring system based on image analysis according to claim 1 is characterized in that: The specific steps of monitoring and analyzing the interior of the switch cabinet corresponding to the current monitoring period are as follows: The internal images of the switch cabinet corresponding to each monitoring time point in the current monitoring period are collected by the intelligent camera, and the internal images of the switch cabinet corresponding to each monitoring time point in the current monitoring period are obtained, and the contours of each component inside the cabinet are identified therefrom, thereby obtaining the contours of each component inside the switch cabinet corresponding to each monitoring time point in the current monitoring period, and extracting the initial contours corresponding to each component inside the cabinet based on the initial contours corresponding to each component inside the cabinet stored in the system repository, and at the same time, the contours of each component inside the switch cabinet corresponding to each monitoring time point in the current monitoring period are overlapped and compared with the initial contours corresponding to each component inside the cabinet, and the contour overlap area of ​​each component inside the switch cabinet corresponding to each monitoring time point in the current monitoring period is obtained, which is recorded as The initial contour area corresponding to each component inside the cabinet is extracted based on the initial contour area corresponding to each component inside the cabinet stored in the system library, and is recorded as S j ', j represents the number of each component inside the cabinet, j = 1, 2, ...., n, n represents the total number of component numbers inside the cabinet, f represents the number of each monitoring time point, f = 1, 2, ...., g, g represents the total number of monitoring time point numbers; According to the formula Calculate the switch cabinet internal contour coincidence evaluation index KH, ΔS corresponding to the current monitoring period j It is expressed as the reference contour area difference of each component inside the cabinet. It is represented as the contour overlap area of ​​the j-th cabinet internal component corresponding to the f-1-th monitoring time point in the current monitoring period, and c1 and c2 are respectively represented as the set evaluation factors; The detection area points inside the switch cabinet are evenly arranged in a set manner to obtain the detection area points inside the switch cabinet. The thermal imaging images of the detection area points inside the switch cabinet corresponding to the monitoring time points in the current monitoring period are collected by an infrared thermal imaging camera to obtain the thermal imaging images of the detection area points inside the switch cabinet corresponding to the monitoring time points in the current monitoring period, and the color of each detection area point is identified and matched with the temperature-color comparison table stored in the system repository, thereby obtaining the temperature of each detection area point inside the switch cabinet corresponding to each monitoring time point in the current monitoring period, which is recorded as k represents the number of each detection area point, k = 1, 2, ...., l, l represents the total number of detection area point numbers; Extract the atmospheric temperature of each monitoring period from the system repository, and extract the atmospheric temperature of the current monitoring period from it, and at the same time match the atmospheric temperature of the current monitoring period with the reference temperature inside the switch cabinet corresponding to each set atmospheric temperature, and obtain the reference temperature WD' inside the switch cabinet corresponding to the current monitoring period; According to the formula Calculate the temperature and health evaluation index DK of the switch cabinet corresponding to the current monitoring period, ΔWD represents the set allowable temperature difference, and c3, c4, and c5 represent the set weight factors respectively; The internal health assessment index NK of the switch cabinet corresponding to the current monitoring period is calculated according to the formula NK=ln(1+KH×d1+DK×d2), where d1 and d2 represent the set proportional factors respectively.

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