A real-time monitoring system for the operation status of an electrical cabinet

Abstract

The present invention discloses a real-time monitoring system for the operation status of an electrical cabinet, and relates to the technical field of circuit monitoring systems. At present, it is difficult for the real-time monitoring system for the operation status to perform online monitoring of electrical components in the electrical cabinet. The present invention includes an electrical cabinet, wherein a plurality of electrical components are arranged inside the electrical cabinet, and a thermal imaging dual-spectrum card machine for capturing high-definition images and infrared images of components inside the electrical cabinet is arranged inside the electrical cabinet, and further includes: a circuit detection module, an image recognition module, and an auxiliary recognition module. The circuit detection module of the present invention can detect the voltage and circuit anomalies of the main circuit and its sub-circuits, and the image recognition module can intelligently identify the abnormal heating and abnormal deformation or looseness of each electrical component, and can not only detect the abnormality of current and voltage, but also perform abnormal monitoring of the electrical components themselves, thus overcoming the defect that the monitoring system in the prior art can only analyze the abnormality of current and voltage.

Description

Technical Field

[0001] The invention relates to the technical field of circuit monitoring systems, and in particular to a real-time monitoring system for the operating status of an electrical cabinet. Background Art

[0002] An electrical cabinet is a specially designed enclosed box used to centrally install, protect and manage various electrical equipment and components. They play a vital role in industrial automation, power supply, building facilities and various infrastructure systems. Electrical cabinets usually contain circuit breakers, contactors, relays, measuring instruments, protection devices, terminal blocks and indicator lights, etc. These devices work together to ensure the stable operation and safe control of the power system.

[0003] The real-time monitoring system for the operating status of the electrical cabinet is mainly used to monitor the operating status of the circuit in the electrical cabinet. The real-time monitoring system for the operating status in the prior art generally uses circuit and voltage monitoring to detect leakage and short circuit in the electrical cabinet, thereby controlling the air switch to disconnect the circuit to protect the electrical cabinet. However, when an electrical component inside the electrical cabinet fails, such as the contact of the circuit breaker sticking, it cannot be monitored by monitoring the circuit and voltage, and manual investigation is required. However, due to the shortage of human resources and the time required for personnel to arrive at the site, the abnormality of the components inside the electrical cabinet cannot be discovered in the first time, resulting in the expansion of the impact of the failure and certain defects. Summary of the invention

[0004] In view of the above-mentioned shortcomings of the prior art, the present invention provides a real-time monitoring system for the operating status of an electrical cabinet, which can effectively solve the problem that the real-time monitoring system for the operating status in the prior art is difficult to perform online monitoring of electrical components in the electrical cabinet.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0006] The present invention provides a real-time monitoring system for the operation status of an electrical cabinet, which at least comprises: an electrical cabinet, a plurality of electrical components are arranged inside the electrical cabinet, a thermal imaging dual-spectrum card camera is arranged inside the electrical cabinet for capturing high-definition images and infrared images of components inside the electrical cabinet, and also comprises: a circuit detection module, an image recognition module, and an auxiliary recognition module;

[0007] The electrical cabinet contains the main circuit and the control circuit. The main circuit is composed of multiple parallel sub-circuits;

[0008] The circuit detection module obtains the current and voltage of the main circuit and the current and voltage of each sub-circuit and analyzes them. When the current and voltage values ​​in the main circuit or sub-circuit are abnormal, a circuit abnormality signal is generated and the abnormal sub-circuit is marked as an abnormal circuit;

[0009] The image recognition module regularly monitors the electrical components in the electrical cabinet. The image recognition module includes a temperature monitoring unit and a visual monitoring unit. The temperature monitoring unit regularly obtains infrared images of the interior of the electrical cabinet, monitors the temperature status of the electrical components in the electrical cabinet, and identifies electrical components in abnormal states in the electrical cabinet. The visual monitoring unit regularly obtains high-definition images of the interior of the electrical cabinet and compares them. When there is an abnormal comparison, the electrical components in abnormal states are marked;

[0010] The auxiliary identification module includes an active identification unit and an adaptive adjustment unit. When the active identification unit obtains an abnormal circuit, it actively identifies the relevant components in the electrical cabinet and analyzes the operating status of each component. The adaptive adjustment unit sets different monitoring cycles according to the data in the electrical cabinet.

[0011] Furthermore, the circuit detection module analyzes the circuit process as follows:

[0012] Step 1: obtain the voltage value of the live wire to the ground and the voltage value of the neutral wire to the ground in the main circuit, record them as the live-ground voltage and the neutral-ground voltage respectively, calculate the difference between the live-ground voltage and the neutral-ground voltage to obtain the zero-live voltage value, obtain the current value of the live wire and the current value of the neutral wire in the main circuit, record them as the live wire current and the neutral wire current respectively, calculate the difference between the live wire current and the neutral wire current to obtain the zero-live current;

[0013] Step 2: The main circuit is preset with a standard voltage value, a standard current value and an allowable deviation coefficient. When any value of the zero-fire voltage or zero-fire current exceeds the corresponding standard range, a power distribution abnormality signal is generated and step 3 is performed. The standard range corresponding to the zero-fire voltage is , the standard range corresponding to zero-fire current is ,in The standard voltage value of the main circuit, is the standard current value of the main circuit, h is the allowable deviation coefficient of the main circuit;

[0014] Step 3: When the zero-fire voltage in the main circuit exceeds the corresponding standard range When the zero-fire current in the main circuit exceeds the corresponding standard range, an input voltage abnormal signal is generated. When the hot-ground voltage and the neutral-ground voltage of each branch circuit are obtained, the step 4 is performed;

[0015] Step 4: When the voltage between the power supply and the ground of any branch circuit exceeds the range When the neutral voltage is not equal to 0, the subcircuit is marked as an abnormal circuit. The fire-ground voltage of the main circuit is that when the zero-fire current of any branch circuit is greater than or equal to the preset current error value, the branch circuit is marked as an abnormal circuit.

[0016] Furthermore, the identification and monitoring process of the temperature monitoring unit is specifically as follows:

[0017] S1: Get the total power consumption of the electrical cabinet in the past week , substitute into the formula Calculate to obtain the minimum current threshold, where g is a preset value. When the live wire current value of the main circuit in the electrical cabinet is greater than or equal to the minimum current threshold, regularly obtain the infrared image inside the electrical cabinet and grayscale it as a target grayscale image. Establish a plane rectangular coordinate system in the target grayscale image. The coordinate unit is the width of the pixel. A plane coordinate is assigned to each pixel according to the arrangement position of each pixel.

[0018] S2: Extract the grayscale value of each pixel in the target grayscale image, draw a grayscale distribution line graph of the target grayscale image with the grayscale value as the horizontal axis and the number of pixels corresponding to the grayscale value as the vertical axis, and record the grayscale value corresponding to the highest point in the grayscale distribution line graph as the standard grayscale value ;

[0019] S3: Assign a serial number to each electrical component, obtain the contour map and center position of each electrical component and mark them in the target grayscale map, and set a grayscale threshold for each contour range of the electrical component , the gray threshold calculation formula is:

[0020] ,

[0021] Where k is the preset proportionality factor, Respectively represent the minimum operating temperature and the maximum operating temperature of each electrical component. When the maximum grayscale value within the contour range of each electrical component is greater than or equal to the grayscale threshold, proceed to S4;

[0022] S4: The electrical components whose maximum grayscale value within the contour range is greater than or equal to the grayscale threshold are recorded as abnormal components, and the corresponding contour area range is recorded as the abnormal area. The average grayscale value in the abnormal area is calculated and recorded as the abnormal temperature value. A line graph of the abnormal temperature value in the abnormal area over time is drawn. When the line graph of the abnormal temperature value over time shows a monotonically increasing trend and the average slope is greater than the preset growth coefficient, a component abnormality signal is generated, and the electrical component serial number corresponding to the component abnormality signal is sent to the staff's handheld terminal.

[0023] Furthermore, the comparison and analysis process of the visual monitoring unit is as follows:

[0024] Regularly obtain high-definition images of the electrical cabinet, and at the same time obtain the light intensity values ​​at the four corners of the electrical cabinet and calculate their average to obtain the brightness value of the cabinet. Bind the high-definition image with the brightness value of the cabinet recorded at the same time, set multiple brightness intervals with equal ranges, record the brightness values ​​of the cabinet in the same brightness interval as similar brightness values, and the high-definition images corresponding to similar brightness values ​​are the images of the same area. Obtain the current high-definition image and the most recently obtained image of the same area and record them as comparison images. Obtain the contour range of each electrical component and record it as the comparison range. Calculate the similarity of each comparison range in the two comparison images through the image comparison algorithm to obtain the similarity value corresponding to each comparison range. A similarity threshold is preset. When the similarity value is less than or equal to the similarity threshold, the electrical component corresponding to the comparison range is marked as abnormal, and the serial number of the electrical component is sent to the staff's handheld terminal.

[0025] Furthermore, the time of each opening and closing of the electrical cabinet door is recorded as the opening time and the closing time respectively, and the acquisition time of the two comparison images is obtained. When there is any opening time or closing time between the acquisition times of the two comparison images, the comparison of each comparison range in the two comparison images is stopped.

[0026] Furthermore, the identification process of the active identification unit is specifically as follows:

[0027] Obtain the circuit to which each electrical component belongs, and divide the electrical components belonging to the same circuit into the same circuit set. When any sub-circuit is marked as an abnormal circuit, each electrical component in the circuit set corresponding to the abnormal circuit is recorded as a component to be tested. The infrared image and high-definition image within the contour range of the component to be tested are analyzed by the temperature monitoring unit and the visual monitoring unit. When temperature abnormalities or image abnormalities appear within the contour range of the component to be tested, the component to be tested is marked as an abnormal component, and the electrical component serial number of the component to be tested is sent to the staff's handheld terminal.

[0028] Furthermore, the process of the adaptive adjustment unit adjusting the monitoring period is specifically as follows:

[0029] Get the installation date of the electrical cabinet, calculate the time difference between the current date and the installation date and record it as the usage time , obtain the service life of each electrical component in the electrical cabinet, and select the minimum value of the service life of each electrical component as the limit time , set a maximum load power , draw a line graph of the actual operating power of the main circuit over time, set a usage time, when the actual operating power of the main circuit is greater than When the duration of use is greater than or equal to the use time, the day is recorded as a general load day, and the total number of general load days after the electrical cabinet is installed is recorded as the load time. , substitute into the formula Calculate and get the monitoring adjustment cycle , where n is the preset weight coefficient, is a constant factor, is the minimum monitoring period.

[0030] Compared with the known prior art, the technical solution provided by the present invention has the following beneficial effects:

[0031] 1. The circuit detection module and the image recognition module of the present invention jointly monitor the operating status of the electrical cabinet. The circuit detection module can mainly detect the voltage and circuit anomalies of the main circuit and its sub-circuits, so as to timely discover the circuit anomalies when there is leakage or short circuit in the circuit, and the image recognition module can intelligently identify the abnormal heating and abnormal deformation or looseness of each electrical component based on the dual-spectrum image in the electrical cabinet, that is, the visible light and infrared light image, so as to discover the fault inside the electrical cabinet. The combination of the two can not only detect the abnormalities of current and voltage, but also monitor the abnormalities of the electrical components themselves, overcoming the defect that the monitoring system in the prior art can only analyze the abnormalities of current and voltage.

[0032] 2. The active identification unit of the present invention can automatically start the monitoring step based on the signals of abnormal current and voltage on the basis of regular monitoring, so as to conduct inspections inside the electrical cabinet, eliminate possible causes of abnormal circuit signals inside the electrical cabinet, and promptly discover abnormalities in electrical components inside the electrical cabinet. The adaptive adjustment unit calculates and analyzes the aging of electrical components in the electrical cabinet by comprehensively considering the service life, usage time and daily load conditions of each electrical component in the electrical cabinet, and then adaptively adjusts the monitoring interval. It can increase the monitoring frequency after the electrical cabinet has been used for a long time, thereby coping with the situation where the electrical cabinet may have an increase in failures due to aging. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0034] Figure 1 It is the overall module block diagram of the present invention. DETAILED DESCRIPTION

[0035] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0036] The present invention will be further described below in conjunction with the embodiments.

[0037] See also Figure 1 A real-time monitoring system for the operating status of an electrical cabinet comprises at least: an electrical cabinet, wherein a plurality of electrical components (such as relays, circuit breakers, contactors, fuses and wiring terminals, etc.) are arranged inside the electrical cabinet, a thermal imaging dual-spectrum card camera is arranged inside the electrical cabinet, and the thermal imaging dual-spectrum card camera is arranged on the inner side of the cabinet door of the electrical cabinet for capturing high-definition images and infrared images of the components inside the electrical cabinet, and further comprises: a circuit detection module, an image recognition module and an auxiliary recognition module.

[0038] The electrical cabinet contains a main circuit (load circuit) and a control circuit. The main circuit is composed of multiple parallel sub-circuits to supply power to different devices, and the control circuit includes relays, circuit breakers (such as air switches) and contactors, etc., which are used to control the on and off of each sub-circuit on the main circuit. The electrical cabinet can provide circuit protection with the help of circuit breakers and fuses connected in series in the sub-circuits while supplying power to different devices, thereby avoiding electric shock and fire accidents caused by short circuits and overloads. The working principles and uses of the internal components of the electrical cabinet are mature existing technologies and will not be elaborated here.

[0039] The circuit detection module obtains the current and voltage of each sub-circuit and the current and voltage of the main circuit and analyzes them. When the current and voltage values ​​in the main circuit or sub-circuit are abnormal, a circuit abnormality signal is generated. The circuit abnormality analysis process is as follows:

[0040] Step 1: obtain the voltage value of the live wire to the ground and the voltage value of the neutral wire to the ground in the main circuit, record them as the live-ground voltage and the neutral-ground voltage respectively, calculate the difference between the live-ground voltage and the neutral-ground voltage to obtain the zero-live voltage value, obtain the current value of the live wire and the current value of the neutral wire in the main circuit, record them as the live wire current and the neutral wire current respectively, calculate the difference between the live wire current and the neutral wire current to obtain the zero-live current;

[0041] Step 2: The main circuit is preset with a standard voltage value, a standard current value and an allowable deviation coefficient. When any value of the zero-fire voltage or zero-fire current exceeds the corresponding standard range, a power distribution abnormality signal is generated and step 3 is performed. The standard range corresponding to the zero-fire voltage is , the standard range corresponding to zero-fire current is ,in The standard voltage value of the main circuit, is the standard current value of the main circuit, h is the allowable deviation coefficient of the main circuit;

[0042] Step 3: When the zero-fire voltage in the main circuit exceeds the corresponding standard range When the zero-fire current in the main circuit exceeds the corresponding standard range, an input voltage abnormal signal is generated. When the hot-ground voltage and the neutral-ground voltage of each branch circuit are obtained, the step 4 is performed;

[0043] Step 4: When the voltage between the power supply and the ground of any branch circuit exceeds the range When the neutral voltage is not equal to 0, the subcircuit is marked as an abnormal circuit. The fire-ground voltage of the main circuit is that when the zero-fire current of any branch circuit is greater than or equal to the preset current error value, the branch circuit is marked as an abnormal circuit.

[0044] The image recognition module regularly monitors the electrical components in the electrical cabinet. The image recognition module includes a temperature monitoring unit and a visual monitoring unit. The temperature monitoring unit regularly obtains infrared images of the inside of the electrical cabinet, monitors the temperature status of the electrical components in the electrical cabinet, and identifies the electrical components in abnormal status in the electrical cabinet. The visual monitoring unit regularly obtains high-definition images of the inside of the electrical cabinet and compares them. When there is a comparison abnormality, the electrical components in abnormal status are marked.

[0045] The identification and monitoring process of the temperature monitoring unit is as follows:

[0046] S1: Get the total power consumption of the electrical cabinet in the past week , substitute into the formula Calculate in to get the minimum current threshold, where g is a preset value. When the live wire current value of the main circuit in the electrical cabinet is greater than or equal to the minimum current threshold, regularly obtain the infrared image inside the electrical cabinet and perform grayscale processing (the higher the temperature, the redder the infrared image appears, and the larger the grayscale value) to record it as the target grayscale image. Establish a plane rectangular coordinate system in the target grayscale image. The coordinate unit is the width of the pixel. A plane coordinate is assigned to each pixel according to the arrangement position of each pixel. The specific position of each pixel can be accurately determined through the plane coordinate;

[0047] S2: Extract the grayscale value of each pixel in the target grayscale image, draw a grayscale distribution line graph of the target grayscale image with the grayscale value as the horizontal coordinate and the number of pixels corresponding to the grayscale value as the vertical coordinate (that is, the height of the coordinate point is the number of pixels corresponding to each grayscale value), and record the grayscale value corresponding to the highest point in the grayscale distribution line graph as the standard grayscale value ;

[0048] S3: Assign a serial number to each electrical component, obtain the contour map and center position of each electrical component and mark them in the target grayscale map, and set a grayscale threshold for each contour range of the electrical component , the gray threshold calculation formula is:

[0049] ,

[0050] Where k is the preset proportionality factor, Respectively represent the minimum operating temperature and the maximum operating temperature of each electrical component, which are freely set by the staff according to the operating temperature range of the components in the power distribution cabinet. When the maximum grayscale value within the contour range of each electrical component is greater than or equal to the grayscale threshold, S4 is performed;

[0051] It should be noted that by dividing the contour range of electrical components to analyze the temperature values ​​within the contour range, on the one hand, it can eliminate the interference caused by non-internal components of the electrical cabinet, such as temperature recognition anomalies caused by excessive temperature of the electrical cabinet casing due to external factors; on the other hand, it can more accurately analyze the temperature anomalies of each different component. Compared with general recognition technology, the use of regional recognition and monitoring can further optimize the recognition accuracy and recognition applicability based on the operating temperature and temperature limit range of each component, and can be more suitable for the recognition and monitoring of various different types of electrical components.

[0052] S4: The electrical components whose maximum grayscale value within the contour range is greater than or equal to the grayscale threshold are recorded as abnormal components, and the corresponding contour area range is recorded as the abnormal area. The abnormal area in the target grayscale image collected subsequently is continuously analyzed, and the average grayscale value in the abnormal area is calculated as the abnormal temperature value. A line graph of the abnormal temperature value in the abnormal area over time is drawn. When the line graph of the abnormal temperature value over time shows a monotonically increasing trend and the average slope is greater than the preset growth coefficient, a component abnormality signal is generated, and the electrical component serial number corresponding to the component abnormality signal is sent to the staff's handheld terminal.

[0053] It should be noted that by limiting the contour range of each electrical component, the position of the electrical component corresponding to the abnormal temperature value can be better determined, and then during the identification and monitoring process, the abnormal electrical component can be determined according to the abnormal temperature value, saving the time required for staff to find the abnormal component.

[0054] The comparison and analysis process of the visual monitoring unit is as follows:

[0055] Regularly obtain high-definition images of the electrical cabinet, and at the same time obtain the light intensity values ​​at the four corners of the electrical cabinet and calculate their average value to obtain the brightness value of the cabinet. Bind the high-definition image to the brightness value of the cabinet recorded at the same time, set multiple brightness intervals with equal ranges, record the brightness values ​​of the cabinet in the same brightness interval as similar brightness values, and the high-definition images corresponding to similar brightness values ​​are the images of the same area. The current high-definition image and the most recently obtained image of the same area are obtained and recorded as comparison images. The contour range of each electrical component is obtained and recorded as the comparison range. The similarity of each comparison range in the two comparison images is calculated through the image comparison algorithm to obtain the similarity value corresponding to each comparison range (the similarity of the images in the same comparison range in each comparison image is calculated, and the larger the similarity value, the higher the similarity of the two images collected successively in the same comparison range under similar brightness conditions). A similarity threshold is preset. When the similarity value is less than or equal to the similarity threshold, the electrical component corresponding to the comparison range is marked as abnormal, and the serial number of the electrical component is sent to the staff's handheld terminal.

[0056] It should be noted that dividing and summarizing high-definition images according to light intensity values ​​is helpful to compare high-definition images taken successively while controlling the light intensity variable, thereby reducing the contrast error caused by lighting errors. By determining the contour range of electrical components and performing similarity comparison only on images within this range, it is possible to more accurately judge whether each individual electrical component has visual abnormalities, thereby being able to more accurately identify the abnormal status of each electrical component.

[0057] Furthermore, the time of each opening and closing of the electrical cabinet door is recorded as the opening time and the closing time respectively, and the acquisition time of the two comparison images is obtained. When there is any opening time or closing time between the acquisition times of the two comparison images, the comparison of each comparison range in the two comparison images is stopped, thereby avoiding the impact caused by the staff moving the wires and debugging components during the daily maintenance of the electrical cabinet, and preventing the visual monitoring unit from erroneously generating abnormal signals.

[0058] The auxiliary identification module includes an active identification unit and an adaptive adjustment unit. When the active identification unit obtains an abnormal circuit, it actively identifies the relevant components in the electrical cabinet and analyzes the operating status of each component. The adaptive adjustment unit sets different monitoring cycles according to the data in the electrical cabinet.

[0059] The identification process of the active identification unit is as follows:

[0060] Obtain the circuit to which each electrical component belongs, and divide the electrical components belonging to the same circuit into the same circuit set. When any sub-circuit is marked as an abnormal circuit, each electrical component in the circuit set corresponding to the abnormal circuit is recorded as a component to be tested. The infrared image and high-definition image within the contour range of the component to be tested are analyzed by the temperature monitoring unit and the visual monitoring unit. When temperature abnormalities or image abnormalities appear within the contour range of the component to be tested, the component to be tested is marked as an abnormal component, and the electrical component serial number of the component to be tested is sent to the staff's handheld terminal.

[0061] The active identification unit can automatically start the monitoring steps based on the abnormal current and voltage signals on the basis of regular monitoring, so as to conduct inspections inside the electrical cabinet, eliminate possible causes of abnormal circuit signals inside the electrical cabinet, and promptly discover abnormalities in electrical components inside the electrical cabinet, thereby reducing the burden of manual troubleshooting on staff. Compared with manual troubleshooting, the response is faster and monitoring can be carried out as soon as the problem occurs.

[0062] The process of adjusting the monitoring cycle of the adaptive adjustment unit is as follows:

[0063] Get the installation date of the electrical cabinet, calculate the time difference between the current date and the installation date and record it as the usage time , obtain the service life of each electrical component in the electrical cabinet, and select the minimum value of the service life of each electrical component as the limit time , set a maximum load power , draw a line graph of the actual operating power of the main circuit (main circuit current multiplied by voltage) over time, set a usage time (in a specific embodiment, the usage time is set to 8 hours), when the actual operating power of the main circuit is greater than When the duration of use is greater than or equal to the use time, the day is recorded as a general load day, and the total number of general load days after the electrical cabinet is installed is recorded as the load time. , substitute into the formula Calculate and get the monitoring adjustment cycle , where n is the preset weight coefficient, is a constant factor (indicating the basic monitoring cycle interval), is the minimum monitoring period.

[0064] By comprehensively considering the service life, usage time and daily load of each electrical component in the electrical cabinet, the aging of the electrical components in the electrical cabinet is calculated and analyzed, and the monitoring rules are adaptively adjusted. By shortening the monitoring interval, the monitoring frequency can be increased after the electrical cabinet has been used for a long time, thereby coping with the situation where the electrical cabinet may have an increase in failures due to aging.

[0065] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the protection scope of the technical solutions of the embodiments of the present invention.

Claims

1. A real-time monitoring system for the operation status of an electrical cabinet, comprising an electrical cabinet, a plurality of electrical components and a thermal imaging dual-spectrum card camera arranged inside the electrical cabinet, characterized in that: Also includes: Circuit detection module, image recognition module, auxiliary recognition module; The electrical cabinet contains the main circuit and the control circuit. The main circuit is composed of multiple parallel sub-circuits; The circuit detection module obtains the current and voltage of the main circuit and each sub-circuit and analyzes them respectively. When the current and voltage values ​​in the main circuit or sub-circuit are abnormal, a circuit abnormality signal is generated and the abnormal sub-circuit is marked as an abnormal circuit; The image recognition module includes a temperature monitoring unit and a visual monitoring unit, wherein: The temperature monitoring unit obtains infrared images inside the electrical cabinet, monitors the temperature status of electrical components in the electrical cabinet, and identifies electrical components in abnormal status in the electrical cabinet; The visual monitoring unit obtains high-definition images of the interior of the electrical cabinet and compares them to identify electrical components in abnormal conditions; The auxiliary recognition module includes an active recognition unit and an adaptation adjustment unit, wherein: When the active identification unit obtains an abnormal circuit, it actively identifies the relevant components in the electrical cabinet and analyzes the operating status of each component; The adaptive adjustment unit sets different monitoring cycles according to various data in the electrical cabinet; The circuit detection module analyzes the circuit process as follows: Step 1: obtain the voltage value of the live wire to the ground and the voltage value of the neutral wire to the ground in the main circuit, record them as the live-ground voltage and the neutral-ground voltage respectively, calculate the difference between the live-ground voltage and the neutral-ground voltage to obtain the zero-live voltage value, obtain the current value of the live wire and the current value of the neutral wire in the main circuit, record them as the live wire current and the neutral wire current respectively, calculate the difference between the live wire current and the neutral wire current to obtain the zero-live current; Step 2: The main circuit is preset with a standard voltage value, a standard current value and an allowable deviation coefficient. When any value of the zero-fire voltage or zero-fire current exceeds the corresponding standard range, a power distribution abnormality signal is generated and step 3 is performed. The standard range corresponding to the zero-fire voltage is , the standard range corresponding to zero-fire current is ,in The standard voltage value of the main circuit, is the standard current value of the main circuit, h is the allowable deviation coefficient of the main circuit; Step 3: When the zero-fire voltage in the main circuit exceeds the corresponding standard range When the zero-fire current in the main circuit exceeds the corresponding standard range, an input voltage abnormal signal is generated. When the hot-ground voltage and the neutral-ground voltage of each branch circuit are obtained, the step 4 is performed; Step 4: When the voltage between the power supply and the ground of any branch circuit exceeds the range When the neutral voltage is not equal to 0, the subcircuit is marked as an abnormal circuit. The fire-ground voltage of the main circuit is used. When the zero-fire current of any branch circuit is greater than or equal to the preset current error value, the branch circuit is marked as an abnormal circuit; The identification and monitoring process of the temperature monitoring unit is as follows: S1: Get the total power consumption of the electrical cabinet in the past week , substitute into the formula Calculate to obtain the minimum current threshold, where g is a preset value. When the live wire current value of the main circuit in the electrical cabinet is greater than or equal to the minimum current threshold, regularly obtain the infrared image inside the electrical cabinet and grayscale it as a target grayscale image. Establish a plane rectangular coordinate system in the target grayscale image. The coordinate unit is the width of the pixel. A plane coordinate is assigned to each pixel according to the arrangement position of each pixel. S2: Extract the grayscale value of each pixel in the target grayscale image, draw a grayscale distribution line graph of the target grayscale image with the grayscale value as the horizontal axis and the number of pixels corresponding to the grayscale value as the vertical axis, and record the grayscale value corresponding to the highest point in the grayscale distribution line graph as the standard grayscale value ; S3: Assign a serial number to each electrical component, obtain the contour map and center position of each electrical component and mark them in the target grayscale map, and set a grayscale threshold for each contour range of the electrical component , the gray threshold calculation formula is: ， Where k is the preset proportionality factor, Respectively represent the minimum operating temperature and the maximum operating temperature of each electrical component. When the maximum grayscale value within the contour range of each electrical component is greater than or equal to the grayscale threshold, proceed to S4; S4: The electrical component with the maximum gray value within the contour range greater than or equal to the gray value threshold is recorded as an abnormal component, and the corresponding contour area range is recorded as the abnormal area. The average gray value within the abnormal area is calculated and recorded as the abnormal temperature value. A line graph of the abnormal temperature value in the abnormal area over time is drawn. When the line graph of the abnormal temperature value over time shows a monotonically increasing trend and the average slope is greater than a preset growth coefficient, a component abnormal signal is generated, and the electrical component serial number corresponding to the component abnormal signal is sent to the staff handheld terminal; The identification process of the active identification unit is as follows: Obtain the circuit to which each electrical component belongs, and divide the electrical components belonging to the same circuit into the same circuit set. When any sub-circuit is marked as an abnormal circuit, each electrical component in the circuit set corresponding to the abnormal circuit is recorded as a component to be tested. The infrared image and high-definition image within the contour range of the component to be tested are analyzed by the temperature monitoring unit and the visual monitoring unit. When temperature abnormalities or image abnormalities occur within the contour range of the component to be tested, the component to be tested is marked as an abnormal component, and the electrical component serial number of the component to be tested is sent to the staff's handheld terminal; The process of the adaptive adjustment unit adjusting the monitoring cycle is specifically as follows: Get the installation date of the electrical cabinet, calculate the time difference between the current date and the installation date and record it as the usage time , obtain the service life of each electrical component in the electrical cabinet, and select the minimum value of the service life of each electrical component as the limit time , set a maximum load power , draw a line graph of the actual operating power of the main circuit over time, set a usage time, when the actual operating power of the main circuit is greater than When the duration of use is greater than or equal to the use time, the day is recorded as a general load day, and the total number of general load days after the electrical cabinet is installed is recorded as the load time. , substitute into the formula: Calculate and get the monitoring adjustment cycle , where n is the preset weight coefficient, is a constant factor, is the minimum monitoring period.

2. A real-time monitoring system for the operation status of an electrical cabinet according to claim 1, characterized in that: The comparison and analysis process of the visual monitoring unit is as follows: Regularly obtain high-definition images of the electrical cabinet, and at the same time obtain the light intensity values ​​at the four corners of the electrical cabinet and calculate their average to obtain the brightness value of the cabinet. Bind the high-definition image with the brightness value of the cabinet recorded at the same time, set multiple brightness intervals with equal ranges, record the brightness values ​​of the cabinet in the same brightness interval as similar brightness values, and the high-definition images corresponding to similar brightness values ​​are the images of the same area. Obtain the current high-definition image and the most recently obtained image of the same area and record them as comparison images. Obtain the contour range of each electrical component and record it as the comparison range. Calculate the similarity of each comparison range in the two comparison images through the image comparison algorithm to obtain the similarity value corresponding to each comparison range. A similarity threshold is preset. When the similarity value is less than or equal to the similarity threshold, the electrical component corresponding to the comparison range is marked as abnormal, and the serial number of the electrical component is sent to the staff's handheld terminal.

3. A real-time monitoring system for the operation status of an electrical cabinet according to claim 2, characterized in that: The time of each opening and closing of the electrical cabinet door is recorded as the opening time and the closing time respectively, and the acquisition time of the two comparison images is obtained. When there is any opening time or closing time between the acquisition times of the two comparison images, the comparison of each comparison range in the two comparison images is stopped.

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