Intelligent switch cabinet protection control system

Abstract

The invention provides an intelligent switch cabinet protection control system. The intelligent switch cabinet protection control system comprises a first image acquisition module, a second image acquisition module, a processor and a communication module, when the processor receives a regular inspection and maintenance instruction of the server through the communication module, a first image in the cabinet is acquired through the first image acquisition module, the first image is analyzed, and whether power-off processing is carried out on each component in the cabinet is judged according to an analysis result; and / or, when the processor receives a regular inspection maintenance instruction of the server through the communication module, a second image outside the cabinet is acquired through a second image acquisition module, the second image is analyzed, and whether power-off processing is performed on each component in the cabinet or not is judged according to an analysis result. According to the intelligent switch cabinet protection control system, the switch cabinet continues to serve an electric power system before a maintainer arrives, and the switch cabinet is powered off before the cabinet door is opened after the maintainer arrives, so that the maintenance safety of the maintainer is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of electrical equipment, and in particular to an intelligent switch cabinet protection control system. Background Art

[0002] The switch cabinet is an electrical equipment. The external line first enters the main control switch in the cabinet, and then enters the sub-control switch. Each branch is set according to its needs. Such as instruments, automatic control, motor magnetic switches, various AC contactors, etc. Some also have high-voltage and low-voltage room switch cabinets, with high-voltage busbars, such as power plants, etc. Some also have low-frequency load shedding to protect the main equipment.

[0003] Intelligent switchgear refers to a cabinet with high performance, high reliability, certain self-diagnosis and automatic control performance, and network communication capabilities; it can be divided into distribution type, motor control type and other control function types in terms of form. The distribution type uses intelligent circuit breakers as core components, and the host computer realizes remote control, telemetry, telesignaling and remote adjustment of the distribution circuit, while the motor control type uses frequency converters and intelligent motor controllers as core components to achieve optimized control of motor starting, running and stopping. Other control types of intelligent switchgear are control switchgear with PLC (programmable controller) as the core, which completes various control functions in the production process. It is also the product with the most potential for the development of automatic control in industrial production processes. The organic combination of PLC technology and traditional switchgear is an effective measure with low investment and quick results to realize the intelligent transformation of ordinary switchgear.

[0004] Distribution-type intelligent switch cabinets are generally used in power systems. Regarding how to achieve protection of intelligent switch cabinets, the existing patent CN201110428905.5 discloses a multifunctional switch cabinet intelligent protection and control system, which mainly protects the humidity inside the switch cabinet and the human body after being energized. The protection of the switch cabinet is not comprehensive enough, and the protection of the safety of personnel maintenance operations is relatively lacking. Summary of the invention

[0005] One of the purposes of the present invention is to provide an intelligent switch cabinet protection control system, which analyzes the situation inside the cabinet before the maintenance personnel arrive and cuts off the power as soon as possible; and by analyzing the situation outside the cabinet, it determines the arrival of personnel and then cuts off the power. Before the maintenance personnel arrive, the power system continues to be served, and the power is cut off before the cabinet door is opened after the maintenance personnel arrive, so as to ensure the safety of the maintenance by the maintenance personnel.

[0006] An intelligent switch cabinet protection control system provided by an embodiment of the present invention includes: a first image acquisition module, a second image acquisition module, a processor and a communication module; the first image acquisition module, the second image acquisition module and the communication module are electrically connected to the processor respectively; When the processor receives a regular inspection and maintenance instruction from the server through the communication module, the first image in the cabinet is collected through the first image collection module, the first image is analyzed, and according to the analysis result, it is determined whether to power off each component in the cabinet; and / or, When the processor receives the regular inspection and maintenance instruction from the server through the communication module, the second image outside the cabinet is collected by the second image acquisition module, and the second image is analyzed. According to the analysis result, it is determined whether to power off the components in the cabinet.

[0007] Preferably, the processor analyzes the first image in the following steps: Performing region segmentation and landmark recognition on the first image to obtain a plurality of region images and determining components corresponding to each region image; Based on the recognition and analysis library corresponding to each component, each area image is recognized and analyzed to determine the corresponding status description number of each component.

[0008] Preferably, when a preset status description number exists in the analysis result, a corresponding component in the cabinet is powered off or all components in the cabinet are powered off.

[0009] Preferably, the processor analyzes the second image in the following steps: Performing person recognition on the second image, and when a person is recognized, extracting a region image corresponding to the person; Perform mark recognition on the area image to determine whether a preset mark exists.

[0010] Preferably, when a preset mark exists in the analysis result corresponding to the second image, all components in the cabinet are powered off or components in the cabinet corresponding to the regular inspection and maintenance instructions are powered off.

[0011] Preferably, when the regular inspection and maintenance instruction is not received, the processor's analysis of the second image further includes: Performing person recognition on the second image, and when a person is recognized, extracting a region image corresponding to the person; Conduct behavioral analysis on regional images; When the analyzed behavior belongs to the preset first type of behavior, the warning reminder device is controlled to output a reminder message and power off all components in the cabinet; When the analyzed behavior belongs to the preset second type of behavior, the warning reminder device is controlled to output a reminder message, Preferably, when the regular inspection and maintenance instruction is not received, the processor controls the second image acquisition module to enter the cruise mode. After entering the cruise mode, the processor further performs the following operations: Analyze the third image captured in the cruise mode to determine whether there is a danger source; Analyze the hazard sources and identify the hazardous areas; The area around the dangerous area is monitored, and when it is monitored that a person is about to enter the dangerous area, a warning reminder message is output through the warning reminder device.

[0012] Preferably, the processor monitors and analyzes the dangerous area in the following steps: A monitoring map is constructed with the center of the dangerous area, and a monitoring area is constructed around the dangerous area in the monitoring map; analyzing and identifying a fourth image containing a surveillance area; When there is a person, based on the fourth image, the position of the person is determined and the determined position is mapped into the monitoring map; When a person enters the monitoring area, the direction vector representing the direction of movement of the person is determined based on the current position of the person and the position of the person at the previous moment; Based on the direction vector, determine whether the person is ready to enter the danger zone.

[0013] Preferably, the processor determines whether the person is ready to enter the dangerous area and performs the following operations: Determine a first judgment vector based on the current position of the personnel and the center of the danger zone; Based on the distance between the current position of the personnel and the center of the danger zone and the size of the danger zone, the judgment threshold range and the behavior scoring table are determined from the preset standard retrieval library; Calculate the angle between the direction vector and the first judgment vector; When the angle is within the judgment threshold range, the behavior scoring table is queried based on the angle to determine the subjective intention score value; Weighting and calculating the subjective intention rating values ​​of a continuous preset number to determine the subjective intention value; When the subjective intention value exceeds the preset judgment threshold, it is determined that the person is ready to enter the danger zone.

[0014] Preferably, the processor analyzes the danger source and determines the danger area includes: When the danger source is a high-voltage line drop, obtain the line conditions near the intelligent switch cabinet; Determine the voltage corresponding to the hazardous source based on the shortest distance between the hazardous source and each line; Check the voltage and danger range correspondence table to determine the range of the danger zone.

[0015] Preferably, the intelligent switch cabinet protection control system further includes: a plurality of temperature and humidity monitoring modules; The temperature and humidity monitoring modules are electrically connected to the processors and are arranged at preset positions in the cabinet; The processor monitors the temperature and humidity in the cabinet through the humidity monitoring module. When the humidity is greater than a preset first threshold and / or when the temperature is greater than a preset second threshold, the processor controls the corresponding component associated with the setting position of the temperature and humidity monitoring module to cut off power.

[0016] Preferably, the intelligent switch cabinet protection control system further includes: at least one smoke sensor; When the processor detects smoke in the cabinet through the smoke sensor, all components are powered off.

[0017] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0018] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 A schematic diagram of an intelligent switch cabinet protection control system according to an embodiment of the present invention; Figure 2 A schematic diagram of another intelligent switch cabinet protection control system according to an embodiment of the present invention; Figure 3 The figure is a schematic diagram of another intelligent switch cabinet protection control system in an embodiment of the present invention. DETAILED DESCRIPTION

[0021] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention. Embodiment 1

[0022] This embodiment provides an intelligent switch cabinet protection control system, such as Figure 1 As shown, it includes: a first image acquisition module 1, a second image acquisition module 2, a processor 3 and a communication module 4; the first image acquisition module 1, the second image acquisition module 2 and the communication module 3 are electrically connected to the processor 4 respectively; When the processor 3 receives the regular inspection and maintenance instruction from the server through the communication module 4, the first image in the cabinet is collected through the first image collection module 1, the first image is analyzed, and according to the analysis result, it is determined whether to power off each component in the cabinet; and / or, When the processor 3 receives the regular inspection and maintenance instruction from the server through the communication module 4, the second image outside the cabinet is collected by the second image acquisition module 2, and the second image is analyzed. According to the analysis result, it is determined whether to power off the components in the cabinet.

[0023] The processor 3 performs the following steps to analyze the first image: Performing region segmentation and landmark recognition on the first image to obtain a plurality of region images and determining components corresponding to each region image; Based on the recognition and analysis library corresponding to each component, each area image is recognized and analyzed to determine the corresponding status description number of each component.

[0024] When a preset status description number exists in the analysis result, a corresponding component in the cabinet is powered off or all components in the cabinet are powered off.

[0025] The processor 3 performs the following steps to analyze the second image: Performing person recognition on the second image, and when a person is recognized, extracting a region image corresponding to the person; Perform mark recognition on the area image to determine whether a preset mark exists.

[0026] When a preset mark exists in the analysis result corresponding to the second image, all components in the cabinet are powered off or components in the cabinet corresponding to the regular inspection and maintenance instructions are powered off.

[0027] The intelligent switch cabinet protection control system of this embodiment, in response to the situation of regular inspection and maintenance, uses the first image acquisition module 1 to analyze the images of various components (components include: switches, circuit breakers, electric shock protectors, etc.) in the cabinet, and then determines whether each component is abnormal; when there is an abnormality, the power is cut off; the second image of the environment outside the cabinet can also be analyzed by the second image acquisition module 2 to determine whether maintenance personnel have arrived, and when they have arrived, the power is cut off; wherein the first image acquisition module 1 is one or more cameras arranged in the cabinet; the second image acquisition module 2 includes one or more cameras arranged at the top of the cabinet for shooting the front or surroundings of the cabinet; wherein the first image is analyzed Perform regional segmentation and mark recognition to obtain multiple regional images and determine the components corresponding to each regional image. The regional segmentation rule is determined in advance based on the comprehensive analysis of the camera setting position, shooting angle and the position of the components in the cabinet. When segmenting, the regional images corresponding to each component can be obtained by directly segmenting according to the regional segmentation rule; the mark recognition method includes: identifying the brand and model information on each component; calling the recognition analysis library corresponding to the component according to the brand and model information, the recognition analysis library is constructed in advance by professionals, and the state description number in the library corresponds to the standard image one by one, and the regional image is matched with the standard image to determine the state description number corresponding to the regional image. When there is a preset state description number in the analysis result, the corresponding component in the cabinet is powered off or all components in the cabinet are powered off; specifically: when there is a state description number corresponding to the terminal falling off and a state description number corresponding to the burning mark, the power-off process is performed. In regular inspection and maintenance operations, maintenance personnel are required to wear prescribed work clothes with obvious signs on them. The recognition of the second image by the processor 3 is to recognize these signs. When the signs are recognized, it is determined that the maintenance personnel have arrived, and then the power is cut off. In order to ensure that the system can operate normally after the components in the cabinet are powered off, a backup power supply can be configured.

[0028] The intelligent switch cabinet protection control system of the present invention analyzes the situation inside the cabinet before the maintenance personnel arrive, so as to cut off the power in time; and by analyzing the situation outside the cabinet, it determines the arrival of the personnel and then cuts off the power. Before the maintenance personnel arrive, the power system continues to be served, and the power is cut off before the cabinet door is opened after the maintenance personnel arrive, so as to ensure the safety of the maintenance by the maintenance personnel.

[0029] To facilitate maintenance by personnel, after the maintenance personnel opens the cabinet door, the processor 3 communicates with the maintenance terminal of the maintenance personnel through the communication module 4, and sends the relevant information such as the reason for the power-off process to the maintenance terminal (which can be a mobile phone). Embodiment 2

[0030] In order to deal with safety protection in the case where no regular inspection and maintenance instructions are received, this embodiment provides an intelligent switch cabinet protection control system, including: a first image acquisition module 1, a second image acquisition module 2, a processor 3 and a communication module 4; the first image acquisition module 1, the second image acquisition module 2 and the communication module 4 are electrically connected to the processor 3 respectively; When the regular inspection and maintenance instruction is not received, the processor 3 analyzes the second image further including: Performing person recognition on the second image, and when a person is recognized, extracting a region image corresponding to the person; Conduct behavioral analysis on the regional image; specific analysis includes: analyzing from the regional image the objects held by the person, whether there are preset marks on the person's clothing, the person's moving speed and direction, etc.; When the analyzed behavior belongs to the preset first type of behavior, the control warning reminder device outputs a reminder message and cuts off the power to all components in the cabinet; the first type of behavior includes: holding objects such as sticks and hammers in the hands, wearing clothes without preset signs, and moving at a speed greater than a preset threshold and moving in the direction of the switch cabinet; such behavior is intended to damage the switch cabinet, and the power is cut off to avoid electric shock to personnel during damage; the reminder message includes: please pay attention to your behavior, the switch cabinet is an electrical equipment, high voltage is present, please stay away; When the analyzed behavior belongs to the preset second type of behavior, the warning reminder device is controlled to output a reminder message. The second type of behavior includes: holding a toolbox in the hand, wearing a preset standard, moving speed within a preset threshold range, and moving direction toward the switch cabinet. Such behavior corresponds to emergency maintenance. At this time, it is only necessary to remind the personnel to pay attention to maintenance safety. In addition, when the switch cabinet is only for one end customer, it is also possible to choose to power off the components in the switch cabinet; In addition, in order to further analyze and control the environment around the switch cabinet and further protect safety, the second image acquisition module 2 includes a two-axis pan-tilt head or a three-axis pan-tilt head, and the camera is set on the two-axis pan-tilt head or the three-axis pan-tilt head. At this time, when no regular inspection and maintenance instructions are received, the processor 3 controls the second image acquisition module 2 to enter the cruise mode. After entering the cruise mode, the processor 3 also performs the following operations: Analyze the third image taken in the cruise mode to determine whether there is a danger source; the cruise mode is to control the action of the dual-axis gimbal or the three-axis gimbal to realize cruise shooting around the switch cabinet; the danger source analysis can be performed through a preset image analysis library, that is, the third image is analyzed and matched with the standard image in the pre-built danger source analysis library to analyze whether there is a danger source; Analyze the danger source and determine the danger area; perform danger source location analysis on the image with the danger source, mainly determine the location of the danger source in reality according to the location of the danger source in the image and the shooting state of the second image acquisition module 2 during shooting; The area around the dangerous area is monitored, and when it is monitored that a person is about to enter the dangerous area, a warning reminder message is output through the warning reminder device.

[0031] The steps of monitoring and analyzing the dangerous area by the processor 3 are as follows: A monitoring map is constructed with the center of the dangerous area, and a monitoring area is constructed around the dangerous area in the monitoring map; analyzing and identifying a fourth image containing a surveillance area; When there is a person, based on the fourth image, the position of the person is determined and the determined position is mapped into the monitoring map; When a person enters the monitoring area, the direction vector representing the direction of movement of the person is determined based on the current position of the person and the position of the person at the previous moment (at any time span from 10 seconds to 1 minute); Based on the direction vector, determine whether the person is ready to enter the danger zone.

[0032] The processor 3 determines whether the person is ready to enter the dangerous area and performs the following operations: Determine a first judgment vector based on the current position of the personnel and the center of the danger zone; Based on the distance between the current position of the personnel and the center of the dangerous area and the size of the dangerous area, the judgment threshold range and the behavior score table are determined from a preset standard retrieval library; the standard retrieval library is constructed in advance, and multiple judgment threshold ranges and behavior score tables are stored in the standard retrieval library, which are associated with each other and are associated with distance values ​​and area size range parameters as retrieval references. When the distance between the current position of the personnel and the center of the dangerous area matches the distance value parameter and the size of the dangerous area matches the area size range parameter, the corresponding associated judgment threshold range and behavior score table are retrieved; Calculate the angle between the direction vector and the first judgment vector; specifically, the angle can be calculated by the cosine calculation method of the vector angle; When the angle is within the judgment threshold range, the behavior scoring table is queried based on the angle to determine the subjective intention score value; The subjective intention score values ​​of a preset number of consecutive values ​​are weighted and calculated to determine the subjective intention value; the subjective intention score values ​​are sorted in chronological order, and the corresponding weights after sorting are from small to large; the continuous user behavior is comprehensively analyzed to improve the accuracy of user behavior judgment; When the subjective intention value exceeds the preset judgment threshold, it is determined that the person is ready to enter the danger zone.

[0033] The processor 3 analyzes the danger source and determines that the danger area includes: When the danger source is a high-voltage line drop, obtain the line conditions near the intelligent switch cabinet; The voltage corresponding to the hazardous source is determined by the shortest distance between the hazardous source and each line; the voltage corresponding to the hazardous source is the voltage of the line with the shortest distance; Query the voltage and danger range correspondence table to determine the range of the danger zone. The voltage and danger range correspondence table is constructed in advance. In the table, the radius of the danger zone range is associated with the voltage. By looking up the table, the radius of the danger zone range corresponding to each voltage can be determined to determine the range of the danger zone.

[0034] The intelligent switch cabinet protection and control system provided in this embodiment provides analysis of the second image when regular maintenance and inspection work is not received, and then performs corresponding early warning and emergency operations according to the situation to ensure the personal safety of personnel. In addition, for the second image device, a dual-axis pan-tilt head or a three-axis pan-tilt head is further used to further refine the analysis of the external environment to determine whether there is a dangerous source, so as to monitor the dangerous source and ensure that the high-voltage line falling area will not cause harm to personnel, thereby further improving the safety of the power system. Embodiment 3

[0035] The processor 3 in Example 2 analyzes the danger source and determines the danger zone. First, the voltage is determined. The accuracy of the voltage determination is helpful for the accuracy of the danger zone determination. This embodiment adopts the following method to replace the method in Example 2 to achieve more accurate determination of the danger zone. The specific steps are as follows: Construct analysis space based on the line conditions around the switch cabinet; Determine a first point position corresponding to a grounding point of the high-voltage drop line in the analysis space, determine at least one first sampling point from the high-voltage drop line, and determine a second point position corresponding to the first sampling point in the analysis space; Determine at least one first vector with the first point as a starting point and the second point as a direction; Performing point sampling on the line to obtain a plurality of second sampling points, and determining the third points corresponding to the second sampling points in the analysis space; Taking the first point as a starting point and the third point as a direction, a plurality of second vectors are determined; The angles between the first vector and the second vector are calculated respectively, and the voltage on the line at the third point corresponding to the minimum angle between the first vector and the second vector is taken as the voltage of the dangerous source. Embodiment 4

[0036] The processor 3 in Example 2 analyzes the hazard source and determines the hazardous area. The first step is to determine the voltage. The accuracy of the voltage determination helps to accurately determine the hazardous area. However, on the other hand, in order to ensure safety, the highest voltage of the line near the switch cabinet can be directly used as the voltage of the hazard source. Embodiment 5

[0037] When judging the dangerous source of the high-voltage line drop in Example 2, it is possible that objects such as branches may be judged as high-voltage line drop. Therefore, a comprehensive analysis can be performed based on the line conditions and the properties of the objects themselves to improve the accuracy of the judgment. The specific analysis steps include: Determine whether the location corresponding to the danger source is within the radiation area corresponding to the line of the switch cabinet and extract features of the object of the danger source; The extracted features are input into the preset cable analysis and recognition model to determine whether it is a cable.

[0038] The radiation area is related to the line distribution and is known. You only need to locate the danger source and then determine whether it falls within the area. The feature parameters of the object of the danger source are extracted, including: feature parameters corresponding to the shape of the object, feature parameters representing the width of each section of the object, etc. The cable analysis and recognition model is trained and converged in advance and is used to identify cables. Embodiment 6

[0039] This embodiment provides an intelligent switch cabinet protection control system, such as Figure 2 As shown, it includes: a first image acquisition module 1, a second image acquisition module 2, a processor 3 and a communication module 4; the first image acquisition module 1, the second image acquisition module 2 and the communication module 4 are electrically connected to the processor 3 respectively; in addition, it also includes: a plurality of temperature and humidity monitoring modules 5; The temperature and humidity monitoring modules 5 are electrically connected to the processors 3 and are arranged at preset positions in the cabinet; The processor 3 monitors the temperature and humidity in the cabinet through the humidity monitoring module 5. When the humidity is greater than a preset first threshold and / or when the temperature is greater than a preset second threshold, the corresponding component associated with the setting position of the temperature and humidity monitoring module is controlled to be powered off.

[0040] The system of this embodiment monitors the temperature and humidity inside the cabinet by installing temperature and humidity monitoring modules at various positions inside the cabinet. Temperature monitoring monitors whether a fire caused by a line fault occurs inside the cabinet, and humidity monitoring monitors whether a leakage occurs in the cabinet. Targeted power-off alarms are issued to ensure safety. Embodiment 7

[0041] This embodiment provides an intelligent switch cabinet protection control system, such as Figure 3 As shown, it includes: a first image acquisition module 1, a second image acquisition module 2, a processor 3 and a communication module 4; the first image acquisition module 1, the second image acquisition module 2 and the communication module 4 are electrically connected to the processor 3 respectively; in addition, it also includes: at least one smoke sensor 6; When the processor 3 detects smoke in the cabinet through the smoke sensor 6, all components are powered off.

[0042] The system of this embodiment, through the smoke sensor installed in the intelligent switch cabinet, can monitor and cut off the power supply of the components in the cabinet when the cabinet overheats and burns the circuit to emit smoke, so as to cut off the power source of the heat, prevent the circuit from continuing to burn, and ensure the safety of the switch cabinet. In particular, all components are cut off from power supply, and an electric control switch can be configured at the incoming line section of the switch cabinet to cut off the circuit through the electric control switch.

[0043] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An intelligent switch cabinet protection control system, characterized in that: include: A first image acquisition module, a second image acquisition module, a processor and a communication module; The first image acquisition module, the second image acquisition module and the communication module are electrically connected to the processor respectively; When the processor receives a regular inspection and maintenance instruction from the server through the communication module, the first image in the cabinet is collected through the first image collection module, the first image is analyzed, and according to the analysis result, it is determined whether to power off each component in the cabinet; and / or, When the processor receives the regular inspection and maintenance instruction from the server through the communication module, the second image outside the cabinet is collected by the second image acquisition module, and the second image is analyzed. According to the analysis result, it is determined whether to power off the components in the cabinet.

2. The intelligent switch cabinet protection control system according to claim 1 is characterized in that: The processor analyzes the first image in the following steps: Performing region segmentation and landmark recognition on the first image to obtain a plurality of region images and determining components corresponding to each region image; Based on the recognition and analysis library corresponding to each component, each area image is recognized and analyzed to determine the corresponding status description number of each component.

3. The intelligent switch cabinet protection control system according to claim 2 is characterized in that: When a preset status description number exists in the analysis result, the corresponding component in the cabinet is powered off or all the components in the cabinet are powered off.

4. The intelligent switch cabinet protection control system according to claim 1 is characterized in that: The processor analyzes the second image in the following steps: Performing person recognition on the second image, and when a person is recognized, extracting a region image corresponding to the person; Perform mark recognition on the area image to determine whether a preset mark exists.

5. The intelligent switch cabinet protection control system according to claim 4 is characterized in that: When a preset mark exists in the analysis result corresponding to the second image, all components in the cabinet are powered off or components in the cabinet corresponding to the regular inspection and maintenance instructions are powered off.

6. The intelligent switch cabinet protection control system according to claim 1 is characterized in that: When the regular inspection and maintenance instruction is not received, the processor analyzes the second image, further comprising: Performing person recognition on the second image, and when a person is recognized, extracting a region image corresponding to the person; Conduct behavioral analysis on regional images; When the analyzed behavior belongs to the preset first type of behavior, the warning reminder device is controlled to output a reminder message and power off all components in the cabinet; When the analyzed behavior belongs to the preset second type of behavior, the warning reminder device is controlled to output reminder information.

7. The intelligent switch cabinet protection control system according to claim 1 is characterized in that: When the regular inspection and maintenance instruction is not received, the processor controls the second image acquisition module to enter the cruise mode. After entering the cruise mode, the processor also performs the following operations: Analyze the third image captured in the cruise mode to determine whether there is a danger source; Analyze the hazard sources and identify the hazardous areas; The area around the dangerous area is monitored, and when it is monitored that a person is about to enter the dangerous area, a warning reminder message is output through the warning reminder device.

8. The intelligent switch cabinet protection control system according to claim 7 is characterized in that: The steps for the processor to monitor and analyze the hazardous area are as follows: A monitoring map is constructed with the center of the dangerous area, and a monitoring area is constructed around the dangerous area in the monitoring map; analyzing and identifying whether there is a person in the fourth image including the monitoring area; When there is a person, the position of the person is determined and the determined position is mapped into the monitoring map; When the position corresponding to the person is in the monitoring area, the position of the person at the previous moment is used as the starting point, and the current position of the person is used as the direction to generate a direction vector indicating the direction of movement of the person; The relationship between the direction vector and the position of the danger zone is used to determine whether the person is ready to enter the danger zone.

9. The intelligent switch cabinet protection control system according to claim 1 is characterized in that: Also includes: Multiple temperature and humidity monitoring modules; The temperature and humidity monitoring modules are electrically connected to the processors and are arranged at preset positions in the cabinet; The processor monitors the temperature and humidity in the cabinet through the humidity monitoring module. When the humidity is greater than a preset first threshold and / or when the temperature is greater than a preset second threshold, the processor controls the corresponding component associated with the setting position of the temperature and humidity monitoring module to cut off power.

10. The intelligent switch cabinet protection control system according to claim 1, characterized in that: Also includes: at least one smoke sensor; When the processor detects smoke in the cabinet through the smoke sensor, all components are powered off.

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