Intelligent electric appliance cabinet management and control method

Abstract

The invention discloses an intelligent electric appliance cabinet management and control method, which is applied to an intelligent electric appliance cabinet management and control system, comprises a data collection module, an intelligent monitoring module and a communication management module, and is characterized in that the data collection module is used for collecting identity verification data of management personnel and comprehensive monitoring data of electric equipment; the intelligent monitoring module is used for monitoring whether strangers exist around the electric appliance cabinet or not and verifying identity information of an electric appliance cabinet operator, the communication management module is used for managing communication channels and communication nodes of the electric appliance cabinet and reducing communication time delay of the electric appliance cabinet, and the data collection module, the intelligent monitoring module and the communication management module are in communication connection. The data collection module comprises a data acquisition module, a visual module and a sensor module, the data acquisition module is used for collecting set data of the electric appliance cabinet, the visual module is used for collecting visual images around the electric appliance cabinet, and the system has the advantages of being high in safety and low in time delay.

Description

Technical Field

[0001] The present invention relates to the technical field of electrical cabinet management, and in particular to a method for managing and controlling an intelligent electrical cabinet. Background Art

[0002] The electrical cabinet is the terminal equipment of the power distribution system. With the rapid development of Internet technology, the power distribution system has gradually become intelligent. At present, most power distribution systems are equipped with intelligent monitoring systems. However, the existing technology can only realize the passive monitoring of the safety of the electrical cabinet, and cannot actively identify and expel it. There are still great safety hazards. Some electrical cabinets are arranged outdoors and are prone to human damage. When the factory stops power supply to repair equipment, due to the casual behavior of some workers, it is easy to accidentally touch the electrical cabinet, endangering the life safety of the maintenance workers. Moreover, in order to facilitate maintenance, the electrical cabinets of most companies are located in the same local area network. Due to limited network resources, a large number of electrical cabinets will compete for network resources, resulting in some electrical cabinets occupying only a small part of the network resources, resulting in data transmission congestion and large response delay of the electrical cabinet. Therefore, it is very necessary to design an intelligent electrical cabinet management and control method with high security and low delay. Summary of the invention

[0003] The purpose of the present invention is to provide a smart electrical cabinet management and control method to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for controlling an intelligent electrical cabinet, comprising a data collection module, an intelligent monitoring module and a communication management module, characterized in that: the data collection module is used to collect identity authentication data of management personnel and comprehensive monitoring data of electrical equipment, the intelligent monitoring module is used to monitor whether there are strangers around the electrical cabinet and verify the identity information of the electrical cabinet operator, the communication management module is used to manage the communication channels and communication nodes of the electrical cabinet and reduce the communication delay of the electrical cabinet, and the data collection module, the intelligent monitoring module and the communication management module are connected to each other for communication;

[0005] The safety monitoring module includes a visual detection submodule and an equipment detection submodule, wherein the visual detection submodule is used to detect whether there are strangers around the electrical cabinet, and the equipment detection submodule is used to detect whether the operating data of the electrical cabinet is abnormal;

[0006] The authority management module includes a maintenance detection submodule and an authority verification submodule. The maintenance detection submodule is used to detect whether the enterprise's electrical equipment is in maintenance status, adjust the electrical cabinet to maintenance mode and lock it, and the authority verification submodule is used to verify the identity information and authority of the electrical cabinet operator.

[0007] According to the above technical solution, the data collection module includes a data acquisition module, a visual module and a sensor module. The data acquisition module is used to collect setting data of the electrical cabinet, the visual module is used to collect visual images around the electrical cabinet, and the sensor module is used to collect comprehensive operation data of the electrical cabinet.

[0008] According to the above technical solution, the intelligent monitoring module includes a security monitoring module and an authority management module. The security monitoring module is used to monitor the impact of external force factors and the electrical cabinet's own factors on the operation of the electrical cabinet, and the authority management module is used to verify the identity of the operator according to the operation mode of the electrical cabinet.

[0009] According to the above technical solution, the communication management module includes a communication channel selection module, and the communication channel selection module is used to select a communication channel according to the data volume of the electrical cabinet and the network channel resource margin.

[0010] According to the above technical solution, the communication management module also includes a node adjustment module and a communication module. The node adjustment module is used to adjust the load balance between the communication nodes, and the communication module is used to send alarm information to the administrator when the electrical equipment fails.

[0011] According to the above technical solution, the intelligent electrical cabinet management and control method mainly includes the following steps:

[0012] Step S1: Collect the identity information of the operator of the electrical cabinet through the data acquisition module, take real-time visual images of the surroundings of the electrical cabinet through the visual module and take visual images of the target object according to the guidance of the system, and collect the operating status data of the electrical components inside the electrical cabinet in real time through the sensor module;

[0013] Step S2: After data collection is completed, the system starts the security monitoring module and starts to analyze whether there are strangers in the visual image around the electrical cabinet, and expel the strangers according to the analysis results, analyze the supply and demand relationship between the electrical cabinet and electrical equipment, and adjust the power supply of the electrical cabinet according to the analysis results;

[0014] Step S3: When the electrical equipment is in maintenance, the authority management module starts to analyze the setting mode of the electrical cabinet, verify the operator's identity information, and respond to the operator's operation according to the analysis results;

[0015] Step S4: When the system is processing and transmitting data, the system sends an electrical signal to start the communication management module, starts analyzing the size of the transmitted data and the load of the transmission channel, and adjusts the communication channel and processing node of the data according to the analysis results.

[0016] According to the above technical solution, step S2 further includes the following steps:

[0017] Step S21: retrieve the visual image around the intelligent electrical cabinet, periodically capture the visual image according to the frame rate set by the system, identify the feature nodes of the captured image, overlap and compare the feature nodes of two adjacent images, and when the similarity is less than the threshold set by the system, mark the non-overlapping parts, anchor the marked area of ​​the visual image, scan and identify the marked feature nodes in the marked area, connect the marked feature nodes to build a contour model, and compare the operator contour model in the database. If there is an operator contour model in the database with a matching degree greater than the threshold set by the system, mark the position of the operator in the distribution room model, otherwise remove the mark, and the system continues to monitor. When the similarity is greater than the threshold set by the system, the system continues to monitor;

[0018] Step S22: When there is an operator profile model with a matching degree greater than the threshold in the database, the distribution room model is retrieved, a coordinate system is established, and the distance L between the electrical cabinet and the target stranger is calculated by the distance formula. If the distance L between the electrical cabinet and the target stranger is greater than the second threshold, the system anchors the stranger's features and tracks the stranger's movement trajectory in real time. If the distance between the electrical cabinet and the stranger is less than the second threshold and greater than the first threshold, the system activates the expulsion device to expel the stranger and sounds an alarm.

[0019] Step S23: retrieve detailed parameters of the enterprise's electrical equipment, analyze the historical power consumption data of the electrical equipment, analyze the supply and demand relationship of the enterprise's power distribution system, and adjust the power supply settings of the electrical cabinet according to the supply and demand relationship.

[0020] According to the above technical solution, in step S23, the power transmission distance between the electrical cabinet and the electrical equipment is retrieved, the historical database is searched according to the power transmission distance between the electrical cabinet and the electrical equipment, the power loss coefficient α in the power transmission process is given, the detailed parameters of the electrical equipment connected to the electrical cabinet are retrieved, and the rated voltage U of the electrical equipment is identified. 额 and rated current I 额 , the voltage and current after the transformer transformation are calculated by the formula In the formula, U represents the voltage after the transformer changes, I represents the current after the transformer changes, the voltage and current in the power supply system at this time are retrieved, the conversion coefficient β in the database is retrieved according to the voltage and current in the power supply system at this time, the conversion mode of the transformer is set according to the conversion coefficient β, and the voltage and current in the power supply system are converted into the rated voltage and rated current of the electrical equipment.

[0021] According to the above technical solution, step S3 further includes the following steps:

[0022] Step S31: retrieve the real-time operation information data of the electrical equipment, identify the temperature and operation status of the electrical equipment, if the operation temperature of the electrical equipment is greater than the threshold, the system controls the electrical cabinet to cut off the power supply for maintenance, otherwise the electrical equipment continues to operate, when the operation status of the electrical equipment is down, retrieve the visual image of the electrical equipment, scan and identify the human feature nodes in the visual image, if there are human feature nodes in the visual image, mark the electrical equipment as being under maintenance, otherwise it is marked as damaged and waiting for maintenance;

[0023] Step S32: Identify the operating mode set for the electrical cabinet. When the electrical cabinet is in the operating mode, the operator issues an instruction. The facial data of the operator is entered for verification according to the system guidance. If the verification is successful, the instruction issued by the operator is allowed to enter the execution module. Otherwise, the system refuses to execute. When the electrical cabinet is in the maintenance mode, the operator issues an instruction, that is, the operator issues an instruction when the enterprise's electrical equipment is under maintenance. The system identifies the mark in the electrical equipment. If there is a maintenance mark in the electrical equipment, the execution module of the electrical cabinet is locked. At the same time, the system enters the facial data of the operator and sends the facial data to the security management department through the communication module. Otherwise, the instruction is loaded into the execution module after the authority verification is passed.

[0024] According to the above technical solution, in step S4, the historical transmission data record of the electrical cabinet is retrieved, the number of bytes of the historical transmission data is scanned, and the discreteness of the historical transmission data is calculated by the formula In the formula, i = 1, 2, 3...n, P represents the discreteness of the historical transmission data, M represents the number of bytes of the historical transmission data of the electrical cabinet, Indicates the average number of bytes of the historical transmission data of the electrical cabinet. When the discreteness of the historical transmission data of the electrical cabinet is greater than the system set threshold, it will be removed from the cluster head candidate node. Otherwise, the cluster head rating of the electrical cabinet is calculated by the formula In the formula, W represents the cluster head rating of the electrical cabinet, λ represents the weight coefficient of the discreteness of the historical transmission data, κ represents the weight coefficient of the average number of bytes of the historical transmission data of the electrical cabinet, and the node with the highest rating is selected as the cluster head node. The system allocates CPU cores and memory resources to the processing node according to the node rating level, and retrieves the load rate of the processing node in the cluster group. If the load rate of the processing node is greater than the system set threshold, the data of the processing node is transmitted to the cluster head node for transmission, otherwise it is transmitted by the current processing node.

[0025] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention can quickly and accurately determine whether a stranger appears around the electrical cabinet by detecting changes around the electrical cabinet, thereby preventing the stranger from damaging the electrical cabinet, greatly improving the safety of the electrical cabinet; by analyzing the distance between the electrical cabinet and the target stranger in real time, activating the expulsion device to sound an alarm, and expelling the target stranger from the electrical cabinet, greatly enhancing the safety of the electrical cabinet; by setting the conversion mode of the transformer through the conversion coefficient before and after the voltage and current conversion in the electrical cabinet, the voltage and current output by the electrical cabinet can be made suitable for the operation of electrical equipment, avoiding the voltage or current output by the electrical cabinet from being too large and causing the electrical equipment to be damaged. The equipment heats up and even causes a fire, which greatly improves the safety of the electrical cabinet. By verifying the identity and authority of the operator, it can prevent non-operators from operating the electrical cabinet, causing equipment failure and endangering the safety of production workers. By locking the execution module of the electrical cabinet, it can prevent technicians from accidentally touching the electrical cabinet and causing the equipment to run when maintaining electrical equipment, causing harm to the technicians who repair the equipment, further improving the safety of the equipment. By allocating resources to nodes based on the discreteness of the data transmitted by the processing node and the average amount of data transmitted, it can prevent electrical cabinets from competing for resources, resulting in some electrical cabinets being unable to obtain sufficient resources to transmit data, thereby greatly reducing the data transmission delay of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] 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:

[0027] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0028] 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.

[0029] See also Figure 1 The present invention provides a technical solution: a method for controlling an intelligent electrical cabinet, comprising a data collection module for collecting identity authentication data of management personnel and comprehensive monitoring data of electrical equipment, an intelligent monitoring module for monitoring whether there are strangers around the electrical cabinet and verifying the identity information of the electrical cabinet operator, a communication management module for managing the communication channels and communication nodes of the electrical cabinet and reducing the communication delay of the electrical cabinet, and the data collection module, the intelligent monitoring module and the communication management module are connected to each other in communication;

[0030] The security monitoring module includes a visual detection submodule and an equipment detection submodule. The visual detection submodule is used to detect whether there are strangers around the electrical cabinet, and the equipment detection submodule is used to detect whether the operating data of the electrical cabinet is abnormal.

[0031] The authority management module includes a maintenance detection submodule and an authority verification submodule. The maintenance detection submodule is used to detect whether the enterprise's electrical equipment is in maintenance status, adjust the electrical cabinet to maintenance mode and lock it. The authority verification submodule is used to verify the identity information and authority of the electrical cabinet operator.

[0032] The data collection module includes a data acquisition module, a vision module and a sensor module. The data acquisition module is used to collect setting data of the electrical cabinet, the vision module is used to collect visual images around the electrical cabinet, and the sensor module is used to collect comprehensive operation data of the electrical cabinet.

[0033] The intelligent monitoring module includes a safety monitoring module and an authority management module. The safety monitoring module is used to monitor the impact of external factors and the electrical cabinet's own factors on the operation of the electrical cabinet. The authority management module is used to verify the identity of the operator according to the operation mode of the electrical cabinet.

[0034] The communication management module includes a communication channel selection module, which is used to select a communication channel according to the data volume of the electrical cabinet and the network channel resource margin.

[0035] The communication management module also includes a node adjustment module and a communication module. The node adjustment module is used to adjust the load balance between the communication nodes, and the communication module is used to send an alarm message to the administrator when a fault occurs in the electrical equipment.

[0036] The intelligent electrical cabinet control method mainly includes the following steps:

[0037] Step S1: Collect the identity information of the operator of the electrical cabinet through the data acquisition module, take real-time visual images of the surroundings of the electrical cabinet through the visual module and take visual images of the target object according to the guidance of the system, and collect the operating status data of the electrical components inside the electrical cabinet in real time through the sensor module;

[0038] Step S2: After data collection is completed, the system starts the security monitoring module and starts to analyze whether there are strangers in the visual image around the electrical cabinet, and expel the strangers according to the analysis results, analyze the supply and demand relationship between the electrical cabinet and electrical equipment, and adjust the power supply of the electrical cabinet according to the analysis results;

[0039] Step S3: When the electrical equipment is in maintenance, the authority management module starts to analyze the setting mode of the electrical cabinet, verify the operator's identity information, and respond to the operator's operation according to the analysis results;

[0040] Step S4: When the system is processing and transmitting data, the system sends an electrical signal to start the communication management module, starts analyzing the size of the transmitted data and the load of the transmission channel, and adjusts the communication channel and processing node of the data according to the analysis results.

[0041] Step S2 further comprises the following steps:

[0042] Step S21: Retrieve the visual image around the intelligent electrical cabinet, periodically capture the visual image according to the frame rate set by the system, identify the feature nodes of the captured image, overlap and compare the feature nodes of two adjacent images, and when the similarity is less than the threshold set by the system, mark the non-overlapping parts, and the system anchors the marked area of ​​the visual image, scans and identifies the marked feature nodes in the marked area, connects the marked feature nodes to build a contour model, and compares the operator contour model in the database. If there is an operator contour model in the database with a matching degree greater than the threshold set by the system, it means that the marked model is a stranger, and the position of the stranger in the distribution room model is marked. Otherwise, the mark is removed and the system continues to monitor. When the similarity is greater than the threshold set by the system, it means that there is no abnormality in the current area, and the system continues to monitor. By detecting the changes around the electrical cabinet, it can quickly and accurately determine whether there are strangers around the electrical cabinet, thereby preventing strangers from damaging the electrical cabinet, which greatly improves the safety of the electrical cabinet;

[0043] Step S22: When there is an operator profile model with a matching degree greater than the threshold in the database, the distribution room model is retrieved, a coordinate system is established, and the distance L between the electrical cabinet and the target stranger is calculated by the distance formula. If the distance L between the electrical cabinet and the target stranger is greater than the second threshold, the system anchors the stranger's features and tracks the stranger's movement trajectory in real time. If the distance between the electrical cabinet and the stranger is less than the second threshold and greater than the first threshold, the system activates the expulsion device to expel the stranger and issues an alarm. By analyzing the distance between the electrical cabinet and the target stranger in real time and activating the expulsion device to issue an alarm, the target stranger can be expelled from the electrical cabinet, which greatly enhances the safety of the electrical cabinet.

[0044] Step S23: retrieve detailed parameters of the enterprise's electrical equipment, analyze the historical power consumption data of the electrical equipment, analyze the supply and demand relationship of the enterprise's power distribution system, and adjust the power supply settings of the electrical cabinet according to the supply and demand relationship.

[0045] In step S23, the power transmission distance between the electrical cabinet and the electrical equipment is retrieved, and the historical database is searched according to the power transmission distance between the electrical cabinet and the electrical equipment to give the power loss coefficient α during the power transmission process, and the detailed parameters of the electrical equipment connected to the electrical cabinet are retrieved to identify the rated voltage U of the electrical equipment. 额 and rated current I 额, the voltage and current after the transformer transformation are calculated by the formula In the formula, U represents the voltage after the transformer changes, and I represents the current after the transformer changes. The voltage and current in the power supply system at this time are retrieved, and the conversion coefficient β in the database is retrieved according to the voltage and current in the power supply system at this time. The conversion mode of the transformer is set according to the conversion coefficient β, and the voltage and current in the power supply system are converted into the rated voltage and rated current of the electrical equipment. The conversion mode of the transformer is set by the conversion coefficient before and after the voltage and current conversion in the electrical cabinet, so that the voltage and current output by the electrical cabinet can be suitable for the operation of the electrical equipment, and the voltage or current output by the electrical cabinet is prevented from being too large, causing the electrical equipment to heat up or even cause a fire, which greatly improves the safety of the electrical cabinet.

[0046] Step S3 further comprises the following steps:

[0047] Step S31: retrieve the real-time operation information data of the electrical equipment, identify the temperature and operation status of the electrical equipment, if the operation temperature of the electrical equipment is greater than the threshold, the system controls the electrical cabinet to cut off the power supply for maintenance, otherwise the electrical equipment continues to operate, when the operation status of the electrical equipment is down, retrieve the visual image of the electrical equipment, scan and identify the human feature nodes in the visual image, if there are human feature nodes in the visual image, mark the electrical equipment as being under maintenance, otherwise it is marked as damaged and waiting for maintenance;

[0048] Step S32: Identify the operating mode set for the electrical cabinet. When the electrical cabinet is in the operating mode, the operator issues an instruction. The facial data of the operator is entered according to the system guidance for verification. If the verification is successful, the instruction issued by the operator is allowed to enter the execution module. Otherwise, the system refuses to execute. When the electrical cabinet is in the maintenance mode, the operator issues an instruction, that is, the operator issues an instruction when the enterprise's electrical equipment is under maintenance. The system identifies the mark in the electrical equipment. If there is a maintenance mark in the electrical equipment, it means that the technician is still maintaining the electrical equipment and locks the execution module of the electrical cabinet. At the same time, the system enters the facial data of the operator and sends the facial data to the security management department through the communication module. Otherwise, the instruction is loaded into the execution module after the authority verification is passed. By verifying the identity authority of the operator, it can be prevented that non-operators operate the electrical cabinet, causing equipment failures and endangering the safety of production workers. By locking the execution module of the electrical cabinet, it can be prevented that the technician accidentally touches the electrical cabinet when maintaining the electrical equipment, causing the equipment to run, causing harm to the technicians repairing the equipment, thereby further improving the safety of the equipment.

[0049] In step S4, the historical transmission data record of the electrical cabinet is retrieved, the number of bytes of the historical transmission data is scanned, and the discreteness of the historical transmission data is calculated by the formula In the formula, i = 1, 2, 3...n, P represents the discreteness of the historical transmission data, M represents the number of bytes of the historical transmission data of the electrical cabinet, Indicates the average number of bytes of historical transmission data of the electrical cabinet, Indicates the average number of bytes of the historical transmission data of the electrical cabinet. When the discreteness of the historical transmission data of the electrical cabinet is greater than the system set threshold, it will be removed from the cluster head candidate node. Otherwise, the cluster head rating of the electrical cabinet is calculated by the formula Where W represents the cluster head rating of the electrical cabinet, λ represents the weight coefficient of the discreteness of the historical transmission data, κ represents the weight coefficient of the average number of bytes of the historical transmission data of the electrical cabinet, and the node with the highest rating is selected as the cluster head node. The system allocates CPU cores and memory resources to the processing node according to the node rating, and retrieves the load rate of the processing node in the cluster group. If the load rate of the processing node is greater than the system set threshold, the data of the processing node is transmitted to the cluster head node for transmission, otherwise it is transmitted by the current processing node. By allocating resources to nodes according to the discreteness of the data transmitted by the processing node and the average amount of transmitted data, it can avoid electrical cabinets competing for resources, resulting in some electrical cabinets being unable to obtain sufficient resources to transmit data, thereby greatly reducing the data transmission delay of the system.

[0050] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0051] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A smart electrical cabinet management and control method, applied to a smart electrical cabinet management and control system, including a data collection module, an intelligent monitoring module and a communication management module, characterized in that: The data collection module is used to collect the identity authentication data of the management personnel and the comprehensive monitoring data of the electrical equipment. The intelligent monitoring module is used to monitor whether there are strangers around the electrical cabinet and verify the identity information of the workers who control the electrical cabinet. The communication management module is used to manage the communication channels and communication nodes of the electrical cabinet and reduce the communication delay of the electrical cabinet. The data collection module, the intelligent monitoring module and the communication management module are connected to each other in communication; The intelligent monitoring module includes a safety monitoring module and a rights management module. The safety monitoring module is used to monitor the influence of external force factors and the electrical cabinet's own factors on the operation of the electrical cabinet. The rights management module is used to verify the identity of the operator according to the operation mode of the electrical cabinet. The safety monitoring module includes a visual detection submodule and an equipment detection submodule, wherein the visual detection submodule is used to detect whether there are strangers around the electrical cabinet, and the equipment detection submodule is used to detect whether the operating data of the electrical cabinet is abnormal; The authority management module includes a maintenance detection submodule and an authority verification submodule. The maintenance detection submodule is used to detect whether the enterprise's electrical equipment is in maintenance status, adjust the electrical cabinet to maintenance mode and lock it, and the authority verification submodule is used to verify the identity information and authority of the electrical cabinet operator; The data collection module includes a data collection module, a visual module and a sensor module, wherein the data collection module is used to collect setting data of the electrical cabinet, the visual module is used to collect visual images around the electrical cabinet, and the sensor module is used to collect comprehensive operation data of the electrical cabinet; The communication management module includes a communication channel selection module, which is used to select a communication channel according to the data volume of the electrical cabinet and the network channel resource margin; The communication management module also includes a node adjustment module and a communication module, wherein the node adjustment module is used to adjust the load balance between the communication nodes, and the communication module is used to send an alarm message to the administrator when a fault occurs in the electrical equipment; The intelligent electrical cabinet management and control method mainly includes the following steps: Step S1: Collect the identity information of the operator of the electrical cabinet through the data acquisition module, take real-time visual images of the surroundings of the electrical cabinet through the visual module and take visual images of the target object according to the guidance of the system, and collect the operating status data of the electrical components inside the electrical cabinet in real time through the sensor module; Step S2: After the data collection is completed, the system starts the security monitoring module, starts to analyze whether there are strangers in the visual image around the electrical cabinet, drives away the strangers according to the analysis results, analyzes the supply and demand relationship between the electrical cabinet and the electrical equipment, and adjusts the power supply of the electrical cabinet according to the analysis results; Step S3: When the electrical equipment is in maintenance, the authority management module starts to analyze the setting mode of the electrical cabinet, verify the operator's identity information, and respond to the operator's operation according to the analysis results; Step S4: When the system is processing and transmitting data, the system sends an electrical signal to start the communication management module, starts analyzing the size of the transmitted data and the load of the transmission channel, and adjusts the communication channel and processing node of the data according to the analysis results; The step S2 further comprises the following steps: Step S21: retrieve the visual image around the intelligent electrical cabinet, periodically capture the visual image according to the frame rate set by the system, identify the feature nodes of the captured image, overlap and compare the feature nodes of two adjacent images, and when the similarity is less than the threshold set by the system, mark the non-overlapping parts, anchor the marked area of ​​the visual image, scan and identify the marked feature nodes in the marked area, connect the marked feature nodes to build a profile model, and compare the operator profile model in the database. If there is no operator profile model with a matching degree greater than the threshold set by the system in the database, mark the position of the stranger in the distribution room model, otherwise remove the mark, and the system continues to monitor. When the similarity is greater than the threshold set by the system, the system continues to monitor; Step S22: When there is no operator profile model with a matching degree greater than the threshold set by the system in the database, the distribution room model is retrieved, a coordinate system is established, and the distance L between the electrical cabinet and the target stranger is calculated by the distance formula. If the distance L between the electrical cabinet and the target stranger is greater than the second threshold, the system anchors the stranger's features and tracks the stranger's movement trajectory in real time. If the distance between the electrical cabinet and the stranger is less than the second threshold and greater than the first threshold, the system activates the expulsion device to expel the stranger and sounds an alarm. Step S23: retrieve detailed parameters of the enterprise's electrical equipment, analyze historical power consumption data of the electrical equipment, analyze the supply and demand relationship of the enterprise's power distribution system, and adjust the power supply settings of the electrical cabinet according to the supply and demand relationship; In step S23, the power transmission distance between the electrical cabinet and the electrical equipment is retrieved, and the historical database is searched according to the power transmission distance between the electrical cabinet and the electrical equipment to give the power loss coefficient α during the power transmission process, and the detailed parameters of the electrical equipment connected to the electrical cabinet are retrieved to identify the rated voltage U of the electrical equipment. 额 and rated current I 额 , the voltage and current after the transformer transformation are calculated by the formula In the formula, U represents the voltage after the transformer changes, I represents the current after the transformer changes, the voltage and current in the power supply system at this time are retrieved, the conversion coefficient β in the database is retrieved according to the voltage and current in the power supply system at this time, the conversion mode of the transformer is set according to the conversion coefficient β, and the voltage and current in the power supply system are converted into the rated voltage and rated current of the electrical equipment.

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