阅读说明：本技术 一种开关柜非介入式监测装置 (Non-intrusive monitoring device for switch cabinet ) 是由 郭晨华 潘晨曦 宁松浩 汪俊 杨志强 于 2021-08-23 设计创作，主要内容包括：本发明公开了一种开关柜非介入监测装置,包括：摄像模块,所述摄像模块包括第一摄像机与第二摄像机,且所述第一摄像机与第二摄像机的镜头均与所述开关柜的顶部存在预设距离,以拍摄开关柜的实时图像或视频；所述实时图像或视频至少包括所述开关柜的预设区域；处理模块,与所述摄像模块连接；所述处理模块用于根据所述摄像模块的实时图像或视频监测所述开关柜的工作状态。本发明解决传统高压开关柜的温度监测中的传感器的数量多和安装工程复杂等问题。(The invention discloses a non-intervention monitoring device of a switch cabinet, which comprises: the camera module comprises a first camera and a second camera, and lenses of the first camera and the second camera are both away from the top of the switch cabinet by a preset distance so as to shoot real-time images or videos of the switch cabinet; the real-time image or video at least comprises a preset area of the switch cabinet; the processing module is connected with the camera module; the processing module is used for monitoring the working state of the switch cabinet according to the real-time image or video of the camera module. The invention solves the problems of large quantity of sensors, complex installation engineering and the like in the temperature monitoring of the traditional high-voltage switch cabinet.)

1. A non-intrusive monitoring device for a switchgear, comprising:

the camera module comprises a first camera and a second camera, and lenses of the first camera and the second camera are both away from the top of the switch cabinet by a preset distance so as to shoot real-time images or videos of the switch cabinet; the real-time image or video at least comprises a preset area of the switch cabinet;

the processing module is connected with the camera module; the processing module is used for monitoring the working state of the switch cabinet according to the real-time image or video of the camera module.

2. The non-invasive monitoring device for a switchgear panel as claimed in claim 1, wherein said first camera is an infrared camera and said second camera is a visible light camera.

3. The non-invasive monitoring device for the switch cabinet according to claim 2, wherein the processing module comprises an online monitoring unit, an image processing unit, a calculation and diagnosis unit and a communication unit; the online monitoring unit is connected with the camera module through the communication unit and is in two-way communication with the camera module; the online monitoring unit is used for receiving and storing the real-time image or video and the mark information thereof sent by the camera module; the image processing unit is used for extracting equipment state information in the real-time image and the video according to the real-time image or the video received by the online monitoring unit; and the calculation diagnosis unit is used for calculating the state of the switch cabinet according to the equipment state of the image processing unit.

4. The non-intrusive monitoring device of claim 2, wherein the predetermined distances between the infrared camera, the visible light camera and the top of the switchgear cabinet are each greater than 0.3 meters; the preset area comprises all areas of the top surface of the switch cabinet and an instrument room area positioned on the front surface of the switch cabinet.

5. A switch cabinet non-intrusive monitoring device as defined in claim 2, wherein the infrared camera is at the same camera angle as the visible camera.

6. A non-invasive monitoring device according to claim 5, wherein the infrared camera and the visible camera are arranged in a direction of 45 ° relative to the horizontal.

7. The non-invasive monitoring device according to claim 4, wherein the predetermined distance between the infrared camera and the visible light camera is 0.5 m to 1 m.

8. The non-invasive monitoring device for the switchgear cabinet according to claim 2, wherein the real-time image or video comprises partition information, sign information and instrumentation information of the switchgear cabinet, and the real-time image or video marks the shooting time, the shooting angle and height of the infrared camera or the visible light camera.

9. The non-invasive monitoring device according to claim 2, wherein said processing module is embedded in said camera module.

Technical Field

The invention relates to the technical field of switch cabinet monitoring, in particular to a non-intrusive monitoring device for a switch cabinet.

Background

With the rapid development of economy in China, electric power safety plays a crucial role in the national security and security system and economic development, and how to ensure the safety, stability and economic operation of the electric power safety system and prevent catastrophic accidents is one of the major problems to be solved urgently. The distribution room is a place of main electrical equipment for distributing and transmitting electric energy in a power distribution network at the tail end of an electric power system, is an important component in an urban power distribution network system, and has the characteristics of wide distribution, large quantity, complex management and the like. With the increasing power supply load density, the number of the power distribution rooms is larger and larger.

Distribution room equipment state monitoring class sensor is various, and monitoring data volume is big, traditional sensor wired installation, the circuit is redundant and miscellaneous, management confusion, communication connection are inconvenient, the personnel of patrolling and examining maintain difficult scheduling problem, can lead to producing equipment loss, trouble, voltage quality low, distribution network poor stability's the condition because of maintaining untimely.

Disclosure of Invention

In order to overcome the defects of the prior art, the invention aims to provide a non-intrusive monitoring device for a switch cabinet, which solves the problems of large quantity of sensors, complex installation engineering and the like in the temperature monitoring of the traditional high-voltage switch cabinet.

The purpose of the invention is realized by adopting the following technical scheme:

a switchgear non-intrusive monitoring device, comprising:

the camera module comprises a first camera and a second camera, and lenses of the first camera and the second camera are both away from the top of the switch cabinet by a preset distance so as to shoot real-time images or videos of the switch cabinet; the real-time image or video at least comprises a preset area of the switch cabinet;

the processing module is connected with the camera module; the processing module is used for monitoring the working state of the switch cabinet according to the real-time image or video of the camera module.

Further, the first camera is an infrared camera, and the second camera is a visible light camera.

Further, the processing module comprises an online monitoring unit, an image processing unit, a calculation diagnosis unit and a communication unit; the online monitoring unit is connected with the camera module through the communication unit and is in two-way communication with the camera module; the online monitoring unit is used for receiving and storing the real-time image or video and the mark information thereof sent by the camera module; the image processing unit is used for extracting equipment state information in the real-time image and the video according to the real-time image or the video received by the online monitoring unit; and the calculation diagnosis unit is used for calculating the state of the switch cabinet according to the equipment state of the image processing unit.

Furthermore, the preset distances between the infrared camera and the visible light camera and the top of the switch cabinet are all more than 0.3 m; the preset area comprises all areas of the top surface of the switch cabinet and an instrument room area positioned on the front surface of the switch cabinet.

Further, the infrared camera is at the same shooting angle as the visible light camera.

Furthermore, the shooting directions of the infrared camera and the visible light camera form an included angle of 45 degrees relative to the horizontal plane.

Furthermore, the preset distance between the infrared camera and the visible light camera and the top of the switch cabinet is 0.5-1 meter.

Further, the real-time image or video comprises partition information, label information and detection instrument information of the switch cabinet, and the real-time image or video marks shooting time, shooting angle and height of an infrared camera or a visible light camera.

Further, the processing module is built in the camera module.

Compared with the prior art, the invention has the beneficial effects that:

the invention provides a non-intervention diagnosis device for a switch cabinet, which is characterized in that a first camera and a second camera of a camera module are arranged in a preset area at the top of the switch cabinet to shoot real-time images or videos of the switch cabinet, a processing module is connected with the camera module, the switch cabinet is monitored according to the real-time images and videos of the camera module, the structure is simple, the reliability is high, and the problems of large quantity of sensors, complex installation engineering and the like in the temperature monitoring of the traditional high-voltage switch cabinet are solved.

Drawings

FIG. 1 is a schematic structural diagram of an embodiment of the present invention;

FIG. 2 is a schematic flow chart illustrating a method for monitoring and diagnosing a process module according to an embodiment of the present invention;

fig. 3 is a flowchart illustrating step S2 according to an embodiment of the present invention.

Detailed Description

The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict.

As shown in figure 1, the application provides a non-intervention monitoring device of a switch cabinet, real-time images or videos of the switch cabinet are shot through a first camera and a second camera, a processing module monitors the working state of the switch cabinet according to the real-time images or videos, and the problems that the number of sensors in temperature monitoring of a traditional high-voltage switch cabinet is large, installation engineering is complex and the like are solved.

Specifically, the non-intervention monitoring device of the switch cabinet comprises a camera shooting module and a processing module, the camera shooting comprises a first camera and a second camera, and the lenses of the first camera and the second camera are all in a preset distance with the top of the switch cabinet so as to shoot real-time images or videos of the switch cabinet. The real-time image or video at least comprises a preset area of the switch cabinet.

The positions of the first camera and the second camera and the preset distance existing at the top of the switch cabinet can not be too small, and the top of the switch cabinet needs to be ensured to have a sufficient shooting angle, so that a shot real-time image or video is clear and can cover a preset area. Therefore, the preset distance between the infrared camera and the visible light camera and the top of the switch cabinet is more than 0.3 meter. The preset distance is preferably 0.5-1 meter, and in the embodiment, is preferably 0.6 meter, so that the whole area of the top surface of the switch cabinet and the area of the instrument room above the front surface of the switch cabinet can be completely photographed, and the partition information at the top of the switch cabinet, the label information at the front surface of the switch cabinet and the information of the detection instrument can be completely extracted through real-time images or videos.

In this embodiment, the first camera is an infrared camera, the second camera is a visible light camera, and the infrared camera and the visible light camera take pictures at the same angle to obtain two images or videos of visible light and infrared light at the same position. In this embodiment, the shooting directions of the infrared camera and the visible light camera form an angle of 45 ° with respect to the horizontal plane. When the video shot by the camera module is taken, video screenshot with a fixed time interval is required to obtain a static real-time image. In this example, the time interval is taken to be 3 minutes. In practical application, a worker can adjust the time interval according to the load change speed of the switch cabinet, and the general time interval is 0.5-10 minutes.

The time of shooting, the shooting angle and the height of the infrared camera or the visible light camera are marked in the real-time image or the video. The infrared camera and the visible light camera can be fixedly arranged on a wall or the movement or the direction of the infrared camera and the visible light camera is controlled by a track, and when the infrared camera and the visible light camera are controlled by the track, the shooting positions of the infrared camera and the visible light camera during shooting need to be marked in an image.

The processing module is in communication connection with the camera module. The processing module is used for monitoring the working state of the switch cabinet according to the real-time image or video of the camera module. The processing module may be a remote computer or a cloud platform, or the processing module may be built in the camera module to facilitate rapid processing of the real-time image or video. And after receiving the real-time image or video, the processing module extracts required equipment state information, wherein the equipment state information comprises but is not limited to the mark number of the detected switch cabinet, the highest temperature data of a plurality of areas at the top, the temperature data of the switch cabinet body and the temperature sampling time point. And further calculating and processing the equipment state information to obtain the diagnosis conclusion of the operating state of the switch cabinet, thereby realizing monitoring and diagnosis of the operating state of the high-voltage switch cabinet.

The processing module comprises an online monitoring unit, an image processing unit, a calculation diagnosis unit and a communication unit. The online monitoring unit is connected with the camera module, is in two-way communication with the camera module and is used for receiving and storing the real-time image or video and the mark information thereof sent by the camera module. The image processing unit is used for extracting the equipment state information in the real-time image and the video according to the real-time image or the video received by the online monitoring unit. The calculation diagnosis unit is used for calculating the temperature of the lumped heat source of the conductor in each interval region of the switch cabinet by using a non-intrusive algorithm according to the equipment state information of the image processing unit; managing the model parameters of the non-intervention algorithm of each switch cabinet, judging the model of each switch cabinet according to the label information of each switch cabinet, calling the matched model parameters of the non-intervention algorithm, and calculating and diagnosing the state of each switch cabinet.

As shown in fig. 2, the process schematic diagram of the method for monitoring and diagnosing by the processing module according to the real-time image of the camera module specifically includes the following steps:

and step S1, acquiring the infrared image and the visible light image shot by the camera module, and fusing the infrared image and the visible light image to form a dual-frequency fused image.

The infrared image and the visible light image have complementarity in content, the infrared image sensor performs imaging by acquiring infrared radiation of a target, temperature information of the target can be acquired through the infrared image, the infrared imaging is less influenced by ambient light, the imaging is generally dark, the resolution ratio is low, the edge is not sensitive, and background information is blurred. The user can see the portions of the device that are overheated through the infrared image, but cannot accurately identify the specific locations of overheating in the device. The visible light image is rich in spectral information, can retain more detail and texture information, but needs to have good illumination and no temperature information.

The fusion of the two can effectively improve the description capability of the image on the scene details and the hot target so as to obtain more accurate, reliable and comprehensive scene description, is convenient for human visual perception or further processing and analysis by a computer, and has higher use value on the functions of target detection, object identification and the like. The infrared image and the visible light image are fused, and the method aims to solve the problem that the detection of the infrared image on the equipment region target is inaccurate, so that the detail display in the infrared image is more definite.

Fusing the infrared image and the visible light image, specifically, acquiring the infrared image and the visible light image at the same visual angle; cutting the visible light image to ensure that the visual field of the visible light image is completely the same as that of the infrared image; performing smooth filtering and embossment processing on the visible light image to obtain a corresponding embossment image; and carrying out fusion processing on the relief image and the infrared image, extracting image contour information of the relief image, and transferring the image contour information to the infrared image to obtain a dual-frequency fusion image.

And step S2, recognizing the dual-frequency fusion image, the infrared image and the visible light image, and performing image processing to extract equipment state information. The image processing unit runs an image processing program to extract the required device state information. Specifically, as shown in fig. 3, the step S2 includes the following steps:

step S21, carrying out target detection of the outline of the power equipment on the dual-frequency fusion image, the infrared image and the visible light image, and respectively segmenting a target detection frame image; firstly, automatic target detection and region segmentation are carried out on the dual-frequency fusion image. According to the segmentation result of the dual-frequency fusion image, the infrared image and the visible light image are segmented in the same region, direct and accurate data support is provided for a subsequent diagnosis method, and independent image documents are established and subjected to filing management for the segmented regions for the next processing. For example, for a withdrawable circuit breaker switchgear, the top partition areas that can be divided are: circuit breaker room pressure release window, female chamber pressure release window, cable chamber pressure release window of arranging.

In the present application, the target detection comprises the following steps: firstly, a candidate area set is generated, the candidate area is obtained by finding out the possible positions of targets in the image in advance by utilizing the information of textures, edges, colors and the like in the image, all the candidate areas are used as training samples and input into a Convolutional Neural Network (CNN) for training, then the CNN characteristics extracted from each candidate area are input into a classifier SVM for training, finally the classified candidate areas of the classifier SVM are subjected to frame regression to correct the candidate areas, and the condition that the window extracted from the candidate areas is more consistent with a target real window is met.

And step S22, recognizing characters of the equipment label according to the target detection frame image of the visible light image, and naming the target detection frame image of the double-frequency fusion image, the infrared image and the visible light image respectively according to the character recognition result. The switch cabinet sign characters of the target detection frame image in the visible light image are automatically recognized, the sign comprises a nameplate and a number plate, the model and specification information of the switch cabinet is recognized and extracted through the nameplate, and the name and number information of the switch cabinet are recognized and extracted through the number plate. In this embodiment, the feature extraction and template matching method based on the OPENCV software development environment is used for character recognition.

Step S23, performing equipment region segmentation according to the double-frequency fusion image and the target detection frame image of the infrared image to obtain an infrared equipment region segmentation image; and extracting temperature distribution information of the infrared equipment region segmentation image through an infrared image temperature algorithm. And calculating and outputting the highest temperature of the infrared segmentation maps of the interval areas according to the existing temperature extraction algorithm, wherein the highest temperature is used as the characteristic temperature of the interval areas. In addition, a lowest temperature is calculated in the original infrared image and is used as the cabinet body environment temperature of the switch cabinet. In the application, an infrared pixel polynomial fitting calibration algorithm is adopted to carry out the method for extracting the temperature.

And step S3, calculating the temperature of the lumped heat source of the switch cabinet according to the equipment state information and the temperature distribution information and a non-intrusive temperature measurement model.

The surface of the cabinet body of the high-voltage switch cabinet has certain correlation with the temperature of a conductor in the cabinet. Based on the principle of heat transfer science, the heat transfer process from the inner conductor of the cabinet to the environment outside the cabinet is researched and analyzed, and a temperature relation model between the surface of the cabinet body and the inner conductor of the cabinet is established. According to the first law of thermodynamics, the sum of the net heat flow introduced into the object and the heat value of the heat source in the object is equal to the increase of the internal energy of the object, so that the heat balance is obtained: and (4) leading in heat and internal heat source heat productivity which are the increment of the internal energy, and further deducing a non-intervention temperature measurement model.

The temperature rise on the surface of the cabinet body of the switch cabinet can be influenced by physical quantities such as the heating power of a load loop conductor, the indirect electric shock resistance heating power of the conductor, the environmental temperature of the cabinet body, the heat dissipation structure and materials of the cabinet body, the heat balance time and the like. The possible temperature of the conductor in the cabinet under a certain condition can be calculated from the temperature distribution data of the cabinet table through the non-intervention temperature measurement model, so that the state of equipment in the switch cabinet can be diagnosed.

In the non-intervention temperature measurement model, the dynamic process of the thermal system of the switch cabinet is described, so that the temperature state of the thermal system of the switch cabinet in the change process can be accurately reflected and calculated. However, the algorithm model of the dynamic process has more model parameters, requires more monitoring data, and has higher requirements on the model parameters and the monitoring data than the algorithm model of the static process. Therefore, the non-invasive thermometry model includes a dynamic non-invasive thermometry model and a static non-invasive thermometry model. The application is also provided with:

and S31, selecting a dynamic non-intrusive temperature measurement model or a static non-intrusive temperature measurement model according to the equipment state information and the temperature distribution information of the switch cabinet, and calculating the temperature of the switch cabinet. In actual use, a dynamic algorithm or a static algorithm is adopted, analysis and selection are carried out according to the use conditions of engineering equipment, and a dynamic non-intervention temperature measurement model is adopted for scenes which are frequently in load change or environment temperature change; for scenes with less load change and slow environmental temperature change, a static non-intrusive temperature measurement model is adopted.

The dynamic model is as follows:

wherein, theta₁(t) is the temperature of a lumped heat source (hereinafter referred to as "temperature of the lumped heat source") in a certain interval inside the high-voltage switch cabinet; theta₂(t) is the highest temperature of each area at the top of the switch cabinet; theta₀(t) taking the lowest temperature of a cabinet surface on the front side of the cabinet body as the ambient temperature of the cabinet body of the switch cabinet; a. the₁₂The heat transfer thermal resistance coefficient between the lumped heat source of the switch cabinet and the cabinet top surface is constant; a. the₂₃The coefficient of heat transfer thermal resistance between the highest temperature of each area at the top of the switch cabinet and the ambient temperature of the switch cabinet is constant; b is₁₂The thermal capacitance coefficient is the sum of all substances in the highest temperature isothermal surface of each area of the top of the switch cabinet and is a constant; t is the double-view image sampling time, then d θ₂(t)/dt represents the derivative of temperature with respect to time. The non-intrusive temperature measurement model calculates the temperature of the lumped heat source according to the highest temperature data of each area at the top of the switch cabinet, the environmental temperature data of the cabinet body and the sampling time point of each temperature, and reveals the temperature distribution of the space (inside and outside) of the switch cabinet as a whole and the rule of the temperature distribution along with the change of the space.

The static working environment means that the physical quantity does not change with time, is in a static state, and is a relatively ideal state. The simplified form of the static non-intrusive thermometry algorithm model is as follows:

this formula can be expressed in simplified form as:

θ₁(t)＝θ₂(t)+kΔθ₂(t)

wherein the content of the first and second substances,for non-invasive measurementThe static model coefficients of the temperature algorithm, referred to as model coefficients for short.

The model coefficient k is a physical characteristic coefficient of the switch cabinet equipment, and in general engineering application, the model coefficient k is roughly taken as a constant coefficient, and fitting and verification are performed through an experimental method. In some special applications, the model coefficient k can also be used as a variable coefficient, and the functional relationship between the variable coefficient and the material temperature and the cabinet body environment temperature can be fitted through experiments. Different interval areas of the switch cabinet have different model coefficients k; the same interval area of the switch cabinets with the same specification has similar model coefficients k. And the calculation and diagnosis unit of the processing module is used for matching and selecting the corresponding model coefficient k according to the specification and the interval area of the switch cabinet.

In practical applications, a plurality of heat sources with different central hot spots exist in the switch cabinet, and the heat sources have different mutual influences, such as: the A-phase busbar and the A-phase breaker contact are connected through the metal copper conductor, and have larger heat conduction correlation, so that the same-phase metal conductor can be taken as a heat source; and the A-phase breaker contact and the B-phase breaker contact are heat sources of two different hot spots, and are close to each other in distance and insulated and isolated from each other. For a high-voltage switch cabinet, any one interval area can be roughly divided into three different physical heat sources according to A, B, C three-phase metal conductors, and because the three-phase metal conductors have similar volume and heat capacity among phases, in the process of diagnosis, the three-phase heat sources are regarded as the same heat capacity, so that the approximation is as follows: the lumped heat source temperature is equivalent to an average of the maximum temperatures of the three-phase metal conductors. The non-intrusive temperature measurement model cannot judge the condition of three-phase heating imbalance. When three-phase heating value in the switch cabinet is seriously unbalanced, the situation that the temperature of the lumped heat source calculated according to a standard algorithm model is lower than the actual highest temperature can occur.

For general applicability and reliability of engineering applications, certain assumed conditions are generally required for the three-phase heating balance state of the switch cabinet, for example, preferably, 10% of the high probability of three-phase heating imbalance of the switch cabinet is normally selected, and a non-intrusive algorithm model parameter, namely a model coefficient k, is appropriately adjusted to be high so that the model coefficient is suitable for most switch cabinet equipment of the same model.

And step S4, comparing the temperature of the lumped heat source of the switch cabinet calculated by the non-intrusive temperature measurement model with a preset fault diagnosis threshold value, and diagnosing the operation state of the switch cabinet.

According to the non-intervention temperature measurement model, the temperature of a lumped heat source of the metal conductor in the cabinet body can be calculated according to the temperature of the non-intervention point, or the temperature of the non-intervention point can be calculated according to the temperature of the lumped heat source of the metal conductor in the cabinet body, and the diagnosis threshold value of the result standard is judged according to the calculated temperature or the measured temperature, so that the diagnosis of the operation temperature rise state of the equipment can be made.

And comparing the calculated temperature of the lumped heat source with a preset fault diagnosis threshold, wherein the two specific comparison methods are shown in the following tables 1 and 2:

TABLE 1

A temperature threshold for an "over-temperature warning" condition for the lumped heat source;

a temperature threshold for a lumped heat source "over-temperature alarm" condition;

a temperature rise threshold for an integrated heat source 'over-temperature warning' state;

is the temperature rise threshold value of the lumped heat source overheat alarm state.

The threshold can be set according to the related temperature and temperature rise limit standards in the technical requirements of GBT 11022 and 2011 standards for common use of high-voltage switching equipment and control equipment, and different threshold settings are made according to different types of cabinets and different metal conductor materials. For example, for a circuit breaker contact of bare copper material, the diagnostic thresholds set are:

or according to the non-intrusive temperature measurement model, the temperature value of the cabinet body surface corresponding to the lumped heat source temperature diagnosis threshold value is calculated and serves as the diagnosis threshold value of the actually measured temperature of the cabinet body surface, and therefore the operation state of the switch cabinet is diagnosed.

TABLE 2

A temperature threshold for an "over-temperature warning" state for a non-intervention point;

a temperature threshold for a non-intrusive point "overheat alarm" condition;

a temperature rise threshold value in an overheat early warning state of a non-intervention point;

the temperature rise threshold value is the temperature rise threshold value of the non-intervention point overheat alarm state.

Wherein the content of the first and second substances,based on non-invasive algorithmic models, from diagnostic method oneAnd (4) calculating reversely. The specific process is as follows, in the static non-intervention temperature measurement model:

wherein:is a known set value, A₂₃、A₁₂Is a constant number of times, and is, can find the correspondingAnd theta₀The cabinet body environment temperature should be measured by the image processing program, if the monitoring system is lack of the cabinet body environment temperature, it can be optimized to make the cabinet body environment temperature theta₀＝40℃。

Both of the above-mentioned diagnostic methods, which are based on non-invasive models of heat transfer science, monitor and diagnose the operating state of the installation only on the basis of the temperature or temperature rise data of the installation, have the limitation that the diagnosis can only be made if the switchgear installation has a sufficiently high operating temperature, i.e. is overheated or tends to be overheated.

Therefore, in the present embodiment, the lateral comparison method and the longitudinal comparison method are employed at the same time to increase the reliability of the fault diagnosis. The transverse comparison method is characterized in that on the basis of the method, transverse comparison diagnosis is performed on devices of the same type in a power distribution room or a transformer substation, so that the device with the highest temperature rise can be found conveniently, and the key monitoring range of the device is reduced. The longitudinal comparison method is a comparison diagnosis of the current monitoring data of the equipment and the historical data of the equipment, and is convenient for assisting in judging whether the equipment is abnormal recently. In order to increase the data dimension of fault diagnosis and widen the diagnosable range, on the basis of the method, the monitoring of the load data of the equipment can be increased, the load data of the equipment can participate in calculation and diagnosis, and the diagnosis of the health and the fault hidden danger state of the equipment can be realized without the actual large load or high temperature of the equipment.

And S5, classifying the diagnosis result of the switch cabinet, and providing matched alarm information according to the classification result. And providing corresponding alarm information according to different classification results, such as various modes of alarm sound, alarm light, alarm short message and the like, so as to remind workers.

The device greatly reduces the number of monitoring devices, the occupied space and the investment cost, comprehensively and intelligently analyzes the image and the infrared temperature measurement data, captures the abnormity of the equipment in operation, realizes intelligent fault diagnosis and alarm of the power equipment, assists the staff to carry out operation and maintenance decision and fault analysis, and improves the reliability of power supply. The equipment and the environment are connected into a whole with mutual recognition, perception and communication, so that the equipment perception is ubiquitous, the application analysis is intelligent, and the management service efficiency and the intelligent level of the power equipment are improved.

The above embodiments are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby, and any insubstantial changes and substitutions made by those skilled in the art based on the present invention are within the protection scope of the present invention.