Electrical equipment state monitoring system and method based on thermal imaging technology

Abstract

The invention discloses an electrical equipment state monitoring system and method based on a thermal imaging technology, and belongs to the field of electrical equipment state monitoring. The component marking module is used for marking components according to the real-time infrared thermal image; the normal infrared thermal image module is used for acquiring multiple frames of infrared thermal images of the power equipment in a period of normal operation, and calculating each standard value in each component area in each frame of infrared thermal image; the historical fault data analysis module is used for acquiring a fault heating model of each fault reason of the power equipment; the power equipment abnormity early warning module is used for acquiring multiple frames of real-time thermal imaging images of the power equipment, calculating characteristic values, comparing the characteristic values with each standard value to obtain abnormal data, and sending out different levels of early warnings according to the abnormal data; and the power equipment fault reason module is used for obtaining a fault reason according to the real-time thermal imaging image. According to the invention, state monitoring of the power equipment can be realized.

Description

Technical Field

[0001] The present invention relates to the field of power equipment status monitoring, and in particular to a power equipment status monitoring system and method based on thermal imaging technology. Background Art

[0002] In recent years, power equipment has played a key role in all walks of life because they are an important part of maintaining production and life. In the power distribution system, switchgear is a key component of protection and control equipment to ensure the reliable operation of the power system. However, the heat generated by power equipment during operation and potential failures can lead to decreased equipment performance, increased downtime, and even fire and safety risks.

[0003] In order to effectively monitor and maintain these key equipment, infrared thermal imaging technology came into being. Infrared thermal imaging technology is an advanced non-contact monitoring technology that generates temperature images by capturing infrared radiation on the surface of an object, providing a powerful tool for monitoring power equipment. When a part of the power equipment has a problem, the temperature control and image status of that part can be obtained in real time through infrared thermal imaging technology.

[0004] However, the current power equipment monitoring method using infrared thermal imaging technology cannot provide timely warnings of potential failures of power equipment, nor can it quickly locate the cause of the failure. Summary of the invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention proposes a power equipment status monitoring system and method based on thermal imaging technology, which can timely warn of potential faults of power equipment and quickly locate the cause of the fault.

[0006] On the one hand, an embodiment of the present invention provides an electric power equipment status monitoring system based on thermal imaging technology, including: an infrared thermal image acquisition module, which is used to photograph the electric power equipment based on multiple angles through an infrared thermal imaging device to obtain infrared thermal images at multiple angles; a component marking module, which is used to mark components on the acquired real-time infrared thermal images according to the positions of the internal components of the electric power equipment in the infrared thermal images at multiple angles; a normal infrared thermal image module, which is used to acquire multiple frames of infrared thermal images of the electric power equipment in normal operation for a period of time under different ambient temperatures and different equipment operation data, and calculate the maximum brightness, minimum brightness, average brightness in each component area in each frame of the infrared thermal image, and the maximum maximum brightness difference, maximum minimum brightness difference and maximum average brightness difference between different frames; a historical fault data analysis module, which is used to obtain the fault data before the fault occurs corresponding to each fault cause of the electric power equipment Multiple frames of infrared thermal images within a period of time and the corresponding ambient temperature and equipment operation data are used to obtain fault heating models under different ambient temperatures and equipment operation data; the power equipment abnormal warning module is used to obtain the current ambient temperature of the power equipment, equipment operation data and multiple frames of real-time thermal imaging images, obtain the maximum brightness, minimum brightness, average brightness in each component area in each frame of real-time infrared thermal image, and the maximum maximum brightness difference, maximum minimum brightness difference and maximum average brightness difference between different frames, and compare them one by one with the corresponding data of the normal infrared thermal image corresponding to the current ambient temperature and equipment operation data. If there is an abnormality, different levels of warnings are issued according to the abnormal data; the power equipment fault cause module is used to input the current ambient temperature of the power equipment, equipment operation data and multiple frames of real-time thermal imaging images into the fault heating model to obtain the cause of the fault when issuing a high-level warning.

[0007] According to some embodiments of the present invention, the component marking module is used to capture an image of power equipment at the same position as an infrared thermal imaging device using a full-color camera, and display the image on a human-computer interaction interface; the coordinate area data of each component in the image of the power equipment is obtained by manual marking, and each component area is marked on the infrared thermal image based on the coordinate area data.

[0008] According to some embodiments of the present invention, the calculation of the maximum brightness, minimum brightness, average brightness in each component area in each frame of infrared thermal image and the maximum maximum brightness difference, maximum minimum brightness difference and maximum average brightness difference between different frames includes: sequentially obtaining two frames of infrared thermal images adjacent to each other at time points, calculating the maximum brightness, minimum brightness and average brightness in each component area of ​​the two frames of infrared thermal images, and sequentially calculating the absolute value of the maximum brightness difference, the absolute value of the minimum brightness difference and the absolute value of the average brightness difference in each component area of ​​the two frames of infrared thermal images; obtaining the absolute value of the maximum brightness difference, the absolute value of the minimum brightness difference and the absolute value of the average brightness difference of each frame of infrared thermal images corresponding to each component area, taking the maximum value to obtain the maximum maximum brightness difference, the maximum minimum brightness difference and the maximum average brightness difference corresponding to each component area; taking the maximum value among multiple maximum brightnesses, the minimum value among multiple minimum brightnesses and the maximum value among multiple average brightnesses of each frame of infrared thermal images corresponding to each component area as the maximum brightness, minimum brightness and average brightness corresponding to each component area.

[0009] According to some embodiments of the present invention, the historical fault data analysis module is used to obtain multiple frames of fault infrared thermal images within a period of time before the fault occurs, corresponding to the cause of the power equipment fault under different ambient temperatures and equipment operation data; sequentially obtain two frames of fault infrared thermal images at adjacent time points, calculate the maximum brightness, minimum brightness and average brightness in each component area of ​​the two frames of fault infrared thermal images, and sequentially calculate the maximum brightness difference absolute value, minimum brightness difference absolute value and average brightness difference absolute value in each component area of ​​the two frames of fault infrared thermal images; obtain the maximum brightness difference absolute value, minimum brightness difference absolute value and average brightness difference absolute value of each frame of fault infrared thermal images corresponding to each component area, take the maximum value to obtain the maximum maximum brightness difference, maximum minimum brightness difference and maximum average brightness difference corresponding to each component area The maximum value among multiple highest brightnesses, the minimum value among multiple minimum brightnesses and the maximum value among multiple average brightnesses of each frame of fault infrared thermal image corresponding to each component area are taken as the maximum brightness, minimum brightness and average brightness corresponding to each component area; the maximum brightness, minimum brightness, average brightness, maximum-maximum brightness difference, maximum-minimum brightness difference and maximum-average brightness difference in each component area corresponding to each fault cause are calculated one by one with the maximum brightness, minimum brightness, average brightness, maximum-maximum brightness difference, maximum-minimum brightness difference and maximum-average brightness difference in each component area of ​​the normal infrared thermal image; when the difference exceeds the threshold, it is recorded as an abnormal feature, and the component area corresponding to the abnormal feature is recorded as the abnormal component area; the fault heating model is obtained according to the fault cause, the abnormal feature and the abnormal component area.

[0010] According to some embodiments of the present invention, the power equipment abnormal warning module includes: an abnormal collection unit, which is used to obtain abnormal characteristics and abnormal areas corresponding to each fault cause in the fault heating model, and obtain abnormal characteristic sets and abnormal area sets corresponding to each fault cause.

[0011] According to some embodiments of the present invention, the power equipment abnormal warning module includes: an abnormality recording unit, which is used to obtain the real-time maximum brightness, minimum brightness, average brightness, maximum maximum brightness difference, maximum minimum brightness difference and maximum average brightness difference in each component area, and calculate the difference one by one with the corresponding data of the normal infrared thermal image corresponding to the current ambient temperature and equipment operation data. If the threshold is exceeded, the real-time abnormal characteristics and real-time abnormal area are obtained.

[0012] According to some embodiments of the present invention, the power equipment abnormal warning module includes: an abnormal warning level unit, which is used to obtain a corresponding abnormal feature set and an abnormal area set based on one or more possible fault causes of real-time abnormal features and real-time abnormal areas; and calculate the ratio of the number of real-time abnormal features and real-time abnormal areas to the number of elements in each abnormal feature set and abnormal area set, and determine the abnormal warning level based on the ratio.

[0013] According to some embodiments of the present invention, the abnormal warning level unit is used to record the abnormal warning level as a high level when the ratio corresponding to the real-time abnormal feature and the ratio corresponding to the real-time abnormal area are both 1.

[0014] According to some embodiments of the present invention, the system includes: a shooting frequency module, which is used to adjust the shooting frequency of the infrared thermal imaging device according to the current warning level. The higher the warning level, the higher the shooting frequency.

[0015] On the other hand, an embodiment of the present invention provides a method for monitoring the status of power equipment based on thermal imaging technology, comprising the following steps: S100, photographing the power equipment at multiple angles by infrared thermal imaging equipment to obtain infrared thermal images at multiple angles; S200, marking components on the acquired real-time infrared thermal images according to the positions of the internal components of the power equipment in the infrared thermal images at multiple angles; S300, acquiring multiple frames of infrared thermal images of the power equipment during normal operation for a period of time under different ambient temperatures and different equipment operation data, and calculating the maximum brightness, minimum brightness, average brightness in each component area in each frame of infrared thermal images, and the maximum maximum brightness difference, maximum minimum brightness difference, and maximum average brightness difference between different frames; S400, acquiring the time period before the occurrence of the fault corresponding to each fault cause of the power equipment S500, obtain the current ambient temperature of the power equipment, the equipment operation data and multiple frames of real-time thermal imaging images, obtain the maximum brightness, minimum brightness, average brightness of each component area in each frame of real-time infrared thermal image, and the maximum maximum brightness difference, maximum minimum brightness difference and maximum average brightness difference between different frames, and compare them one by one with the corresponding data of the normal infrared thermal image corresponding to the current ambient temperature and equipment operation data. If there is an abnormality, issue different levels of warnings according to the abnormal data; S600, when issuing a high-level warning, input the current ambient temperature of the power equipment, the equipment operation data and multiple frames of real-time thermal imaging images into the fault heating model to obtain the cause of the fault.

[0016] The embodiments of the present invention achieve at least the following beneficial effects: the embodiments of the present invention achieve all-round monitoring of various components of power equipment by acquiring infrared thermal images at multiple angles; achieve selective real-time detection of high-risk components by manually marking components to avoid excessive calculations; achieve the temperature change trend, change speed and change amount of each component over time by acquiring multiple frames of infrared thermal images within a period of time; fully consider the change characteristics that may be caused by different fault causes by acquiring the maximum brightness, minimum brightness, average brightness and the maximum maximum brightness difference, maximum minimum brightness difference and maximum average brightness difference between different frames in each component area in each frame of real-time infrared thermal image; and establish a fault heating model under different ambient temperatures and equipment operation data to obtain abnormal characteristics and abnormal areas corresponding to different fault causes, so as to facilitate locating the fault cause according to the abnormal characteristics and abnormal areas.

[0017] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0019] Figure 1 A schematic block diagram of modules of a system according to an embodiment of the present invention;

[0020] Figure 2 The figure is a schematic block diagram of the process of the method according to the embodiment of the present invention.

[0021] Reference numerals:

[0022] Infrared thermal image acquisition module 100, component marking module 200, normal infrared thermal image module 300, historical fault data analysis module 400, power equipment abnormality warning module 500, power equipment fault cause module 600. DETAILED DESCRIPTION

[0023] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0024] In the description of the present invention, "several" means one or more, "more" means two or more, "greater than", "less than", "exceed" etc. are understood as not including the number itself, and "above", "below", "within" etc. are understood as including the number itself. If there is a description of "first" or "second", it is only used for the purpose of distinguishing the technical features, and cannot be understood as indicating or implying the relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0025] The embodiment of the present invention uses infrared thermal imaging technology to perform real-time online temperature monitoring of important parts of power equipment, such as: temperature monitoring of busbars and copper bar connections in distribution cabinets (switch cabinets); temperature monitoring of cable joints in distribution cabinets and distribution boxes; temperature monitoring of power equipment such as transformers, lightning arresters, and voltage transformers; temperature monitoring of large motors, operating equipment, bodies, and mechanical connection parts; temperature monitoring of closed busbars, connectors, and plugs; etc. The embodiment of the present invention can mark important parts through human-computer interaction to achieve temperature monitoring of important parts.

[0026] Since different fault causes of power equipment lead to different temperature characteristics of various components, the embodiment of the present invention proposes a state monitoring method, which can obtain abnormal characteristics and abnormal areas of different fault causes based on infrared thermal images in historical fault causes, and obtain a fault heating model through the abnormal characteristics and abnormal areas. The embodiment of the present invention uses the fault heating model to perform abnormal warning and fault location for power equipment.

[0027] Reference Figure 1 The embodiment of the present invention provides a power equipment status monitoring system based on thermal imaging technology, including:

[0028] The infrared thermal image acquisition module 100 is used to photograph the power equipment at multiple angles using an infrared thermal imaging device to obtain infrared thermal images at multiple angles.

[0029] The component marking module 200 is used to mark components on the acquired real-time infrared thermal image according to the positions of components inside the power equipment in the infrared thermal image at multiple angles.

[0030] The normal infrared thermal image module 300 is used to obtain multiple frames of infrared thermal images of the normal operation of the power equipment for a period of time under different ambient temperatures and different equipment operation data, and calculate the maximum brightness, minimum brightness, average brightness of each component area in each frame of the infrared thermal image and the maximum maximum brightness difference, maximum minimum brightness difference and maximum average brightness difference between different frames.

[0031] The historical fault data analysis module 400 is used to obtain multiple frames of infrared thermal images corresponding to various fault causes of the power equipment within a period of time before the fault occurs, as well as the corresponding ambient temperature and equipment operation data, and obtain fault heating models under different ambient temperatures and equipment operation data.

[0032] The power equipment abnormal warning module 500 is used to obtain the current ambient temperature of the power equipment, equipment operation data and multiple frames of real-time thermal imaging images, obtain the maximum brightness, minimum brightness, average brightness in each component area in each frame of real-time infrared thermal image, and the maximum maximum brightness difference, maximum minimum brightness difference and maximum average brightness difference between different frames, and compare them one by one with the corresponding data of the normal infrared thermal image corresponding to the current ambient temperature and equipment operation data. If there is an abnormality, different levels of warnings are issued according to the abnormal data.

[0033] The power equipment fault cause module 600 is used to input the current ambient temperature of the power equipment, equipment operation data and multiple frames of real-time thermal imaging images into the fault heating model to obtain the fault cause when a high-level warning is issued.

[0034] In some embodiments, the component marking module 200 is used to shoot an image of the power equipment at the same position of the infrared thermal imaging device through a full-color camera and display it on the human-computer interaction interface, obtain the coordinate area data of each component in the power equipment image through manual marking, and mark each component area on the infrared thermal image according to the coordinate area data. In particular, in order to reduce the amount of calculation and improve the monitoring efficiency, the technician can mark the components with a high probability of failure according to the probability of failure.

[0035] In some embodiments, calculating the maximum brightness, minimum brightness, average brightness in each component area in each frame of infrared thermal image and the maximum maximum brightness difference, maximum minimum brightness difference and maximum average brightness difference between different frames includes: sequentially acquiring two frames of infrared thermal images adjacent to each other at time points, calculating the maximum brightness, minimum brightness and average brightness in each component area of ​​the two frames of infrared thermal images, and sequentially calculating the absolute value of the maximum brightness difference, the absolute value of the minimum brightness difference and the absolute value of the average brightness difference in each component area of ​​the two frames of infrared thermal images; acquiring the absolute value of the maximum brightness difference, the absolute value of the minimum brightness difference and the absolute value of the average brightness difference of each frame of infrared thermal images corresponding to each component area, taking the maximum value to obtain the maximum maximum brightness difference, the maximum minimum brightness difference and the maximum average brightness difference corresponding to each component area; taking the maximum value among multiple maximum brightnesses, the minimum value among multiple minimum brightnesses and the maximum value among multiple average brightnesses of each frame of infrared thermal images corresponding to each component area as the maximum brightness, minimum brightness and average brightness corresponding to each component area.

[0036] In some embodiments, the historical fault data analysis module 400 is used to obtain multiple frames of fault infrared thermal images within a period of time before the fault occurs, corresponding to the cause of the power equipment fault under different ambient temperatures and equipment operation data; sequentially obtain two frames of fault infrared thermal images at adjacent time points, calculate the maximum brightness, minimum brightness and average brightness in each component area of ​​the two frames of fault infrared thermal images, and sequentially calculate the maximum brightness difference absolute value, minimum brightness difference absolute value and average brightness difference absolute value in each component area of ​​the two frames of fault infrared thermal images; obtain the maximum brightness difference absolute value, minimum brightness difference absolute value and average brightness difference absolute value of each frame of fault infrared thermal images corresponding to each component area, and take the maximum value to obtain the maximum maximum brightness difference, maximum minimum brightness difference and maximum average brightness corresponding to each component area. difference; the maximum value among multiple highest brightnesses, the minimum value among multiple minimum brightnesses and the maximum value among multiple average brightnesses of each frame of faulty infrared thermal images corresponding to each component area are taken as the maximum brightness, minimum brightness and average brightness corresponding to each component area; the maximum brightness, minimum brightness, average brightness, maximum-maximum brightness difference, maximum-minimum brightness difference and maximum average brightness difference in each component area corresponding to each fault cause are calculated one by one with the maximum brightness, minimum brightness, average brightness, maximum-maximum brightness difference, maximum-minimum brightness difference and maximum average brightness difference in each component area of ​​the normal infrared thermal image; when the difference exceeds the threshold, it is recorded as an abnormal feature, and the component area corresponding to the abnormal feature is recorded as the abnormal component area; the fault heating model is obtained according to the fault cause, abnormal feature and abnormal component area.

[0037] In some embodiments, the power equipment abnormal warning module 500 includes: an abnormal collection unit, which is used to obtain abnormal features and abnormal areas corresponding to each fault cause in the fault heating model, and obtain abnormal feature sets and abnormal area sets corresponding to each fault cause.

[0038] In some embodiments, the power equipment abnormal warning module 500 includes: an abnormality recording unit, which is used to obtain the real-time maximum brightness, minimum brightness, average brightness, maximum maximum brightness difference, maximum minimum brightness difference and maximum average brightness difference in each component area, and calculate the difference one by one with the corresponding data of the normal infrared thermal image corresponding to the current ambient temperature and equipment operation data. If the threshold is exceeded, the real-time abnormal characteristics and real-time abnormal areas are obtained.

[0039] In some embodiments, the power equipment abnormal warning module 500 includes: an abnormal warning level unit, which is used to obtain a corresponding abnormal feature set and an abnormal area set based on one or more possible fault causes of real-time abnormal features and real-time abnormal areas; calculate the ratio of the number of real-time abnormal features and real-time abnormal areas to the number of elements in each abnormal feature set and abnormal area set, and determine the abnormal warning level according to the ratio.

[0040] In some embodiments, the abnormal warning level unit 500 is used to record the abnormal warning level as a high level when the ratio corresponding to the real-time abnormal feature and the ratio corresponding to the real-time abnormal area are both 1.

[0041] In some embodiments, the system of the embodiment of the present invention includes: a shooting frequency module, which is used to adjust the shooting frequency of the infrared thermal imaging device according to the current warning level. The higher the warning level, the higher the shooting frequency.

[0042] Reference Figure 2 Another aspect of the present invention provides a method for monitoring the state of an electric power device based on thermal imaging technology, comprising the following steps:

[0043] S100: photographing the power equipment at multiple angles using an infrared thermal imaging device to obtain infrared thermal images at multiple angles.

[0044] S200: marking components of the acquired real-time infrared thermal image according to the positions of components inside the power equipment in the infrared thermal image at multiple angles.

[0045] S300, obtaining multiple frames of infrared thermal images of the power equipment during normal operation for a period of time under different ambient temperatures and different equipment operation data, and calculating the maximum brightness, minimum brightness, average brightness in each component area in each frame of the infrared thermal image, and the maximum maximum brightness difference, maximum minimum brightness difference, and maximum average brightness difference between different frames.

[0046] S400, obtaining multiple frames of infrared thermal images corresponding to each fault cause of the power equipment within a period of time before the fault occurs and the corresponding ambient temperature and equipment operation data, and obtaining a fault heating model under different ambient temperatures and equipment operation data.

[0047] S500, obtaining the current ambient temperature of the power equipment, equipment operation data and multiple frames of real-time thermal imaging images, obtaining the maximum brightness, minimum brightness, average brightness in each component area in each frame of the real-time infrared thermal image, and the maximum maximum brightness difference, maximum minimum brightness difference and maximum average brightness difference between different frames, and comparing them one by one with the corresponding data of the normal infrared thermal image corresponding to the current ambient temperature and equipment operation data. If there is an abnormality, different levels of warnings are issued according to the abnormal data.

[0048] S600: When a high-level warning is issued, the current ambient temperature of the power equipment, equipment operation data, and multiple frames of real-time thermal imaging images are input into the fault heating model to obtain the cause of the fault.

[0049] Although specific embodiments are described herein, those of ordinary skill in the art will recognize that many other modifications or alternative embodiments are also within the scope of the present disclosure. For example, any of the functions and / or processing capabilities described in conjunction with a particular device or component may be performed by any other device or component. In addition, although various exemplary implementations and architectures have been described according to embodiments of the present disclosure, those of ordinary skill in the art will recognize that many other modifications to the exemplary implementations and architectures described herein are also within the scope of the present disclosure.

[0050] Some aspects of the present disclosure are described above with reference to the block diagram and flow chart of the system, method, system and / or computer program product according to the exemplary embodiments.It should be understood that the combination of one or more blocks in the block diagram and the flow chart and the blocks in the block diagram and the flow chart can be realized by executing computer executable program instructions respectively.Equally, according to some embodiments, some blocks in the block diagram and the flow chart may not need to be executed in the order shown, or may not need to be executed in full.In addition, additional components and / or operations beyond those components and / or operations shown in the blocks in the block diagram and the flow chart may be present in certain embodiments.

[0051] Therefore, the blocks in the block diagrams and flow charts support the combination of devices for performing the specified functions, the combination of elements or steps for performing the specified functions, and the program instruction devices for performing the specified functions. It should also be understood that each block in the block diagrams and flow charts and the combination of blocks in the block diagrams and flow charts can be implemented by a special-purpose hardware computer system or a combination of special-purpose hardware and computer instructions that performs a specific function, element or step.

[0052] The program modules, applications, etc. described herein may include one or more software components, including, for example, software objects, methods, data structures, etc. Each such software component may include computer-executable instructions that, in response to execution, cause at least a portion of the functionality described herein (e.g., one or more operations of the illustrative methods described herein) to be performed.

[0053] Software components can be encoded with any of various programming languages. An exemplary programming language can be a low-level programming language, such as an assembly language associated with a specific hardware architecture and / or an operating system platform. The software component comprising assembly language instructions may need to be converted to executable machine code by an assembler before being executed by hardware architecture and / or platform. Another exemplary programming language can be a higher-level programming language, which can be transplanted across multiple architectures. The software component comprising a higher-level programming language may need to be converted to an intermediate representation by an interpreter or a compiler before execution. Other examples of programming languages ​​include but are not limited to macro languages, shells or command languages, job control languages, scripting languages, database queries or search languages ​​or report writing languages. In one or more exemplary embodiments, the software component comprising the instruction of one of the above-mentioned programming language examples can be directly executed by an operating system or other software components, without first being converted into another form.

[0054] Software components may be stored as files or other data storage structures. Software components of similar type or related functions may be stored together, such as in a specific directory, folder, or library. Software components may be static (e.g., preset or fixed) or dynamic (e.g., created or modified at execution time).

[0055] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge scope of ordinary technicians in the relevant technical field without departing from the purpose of the present invention.

Claims

1. A power equipment condition monitoring system based on thermal imaging technology, characterized in that: include: The infrared thermal image acquisition module is used to photograph the power equipment at multiple angles through an infrared thermal imaging device to obtain infrared thermal images at multiple angles; A component marking module is used to mark components on the acquired real-time infrared thermal images according to the positions of components inside the power equipment in the infrared thermal images at multiple angles; Normal infrared thermal image module, used to obtain multiple frames of infrared thermal images of power equipment in normal operation for a period of time under different ambient temperatures and different equipment operation data, and calculate the maximum brightness, minimum brightness, average brightness in each component area in each frame of infrared thermal image, and the maximum maximum brightness difference, maximum minimum brightness difference and maximum average brightness difference between different frames; The historical fault data analysis module is used to obtain multiple frames of infrared thermal images corresponding to each fault cause of the power equipment within a period of time before the fault occurs, as well as the corresponding ambient temperature and equipment operation data, and obtain the fault heating model under different ambient temperatures and equipment operation data; The power equipment abnormality warning module is used to obtain the current ambient temperature of the power equipment, equipment operation data and multiple frames of real-time thermal imaging images, obtain the maximum brightness, minimum brightness, average brightness and the maximum maximum brightness difference, maximum minimum brightness difference and maximum average brightness difference between different frames in each component area in each frame of real-time infrared thermal image, and compare them one by one with the corresponding data of the normal infrared thermal image corresponding to the current ambient temperature and equipment operation data. If there is an abnormality, different levels of warnings are issued according to the abnormal data; The power equipment fault cause module is used to input the current ambient temperature of the power equipment, equipment operation data and multiple frames of real-time thermal imaging images into the fault heating model to obtain the fault cause when a high-level warning is issued.

2. The power equipment status monitoring system based on thermal imaging technology according to claim 1 is characterized in that: The component marking module is used to shoot an image of the power equipment at the same position as the infrared thermal imaging device through a full-color camera and display it on a human-computer interaction interface, obtain the coordinate area data of each component in the power equipment image through manual marking, and mark each component area on the infrared thermal image according to the coordinate area data.

3. The power equipment status monitoring system based on thermal imaging technology according to claim 1 is characterized in that: The calculation of the maximum brightness, minimum brightness, average brightness, and maximum maximum brightness difference, maximum minimum brightness difference, and maximum average brightness difference between different frames in each component area in each frame of infrared thermal image includes: Sequentially obtain two frames of infrared thermal images at adjacent time points, calculate the maximum brightness, minimum brightness and average brightness in each component area of ​​the two frames of infrared thermal images, and sequentially calculate the absolute value of the maximum brightness difference, the absolute value of the minimum brightness difference and the absolute value of the average brightness difference in each component area of ​​the two frames of infrared thermal images; Obtain the maximum brightness difference absolute value, the minimum brightness difference absolute value and the average brightness difference absolute value of each frame of infrared thermal images corresponding to each component area, and take the maximum value to obtain the maximum maximum brightness difference value, the maximum minimum brightness difference value and the maximum average brightness difference value corresponding to each component area; The maximum value among multiple maximum brightnesses, the minimum value among multiple minimum brightnesses, and the maximum value among multiple average brightnesses of each frame of infrared thermal image corresponding to each component area are used as the maximum brightness, minimum brightness, and average brightness corresponding to each component area.

4. The power equipment status monitoring system based on thermal imaging technology according to claim 1 is characterized in that: The historical fault data analysis module is used to obtain multiple frames of fault infrared thermal images within a period of time before the fault occurs, corresponding to the cause of the power equipment fault under different ambient temperatures and equipment operation data; sequentially obtain two frames of fault infrared thermal images at adjacent time points, calculate the maximum brightness, minimum brightness and average brightness in each component area of ​​the two frames of fault infrared thermal images, and sequentially calculate the absolute value of the maximum brightness difference, the absolute value of the minimum brightness difference and the absolute value of the average brightness difference in each component area of ​​the two frames of fault infrared thermal images; obtain the absolute value of the maximum brightness difference, the absolute value of the minimum brightness difference and the absolute value of the average brightness difference of each frame of fault infrared thermal images corresponding to each component area, and take the maximum value to obtain the maximum maximum brightness difference, the maximum minimum brightness difference and the maximum average brightness difference corresponding to each component area; The maximum value among multiple maximum brightnesses, the minimum value among multiple minimum brightnesses, and the maximum value among multiple average brightnesses of each frame of faulty infrared thermal images corresponding to the component area are used as the maximum brightness, minimum brightness, and average brightness corresponding to each component area; the maximum brightness, minimum brightness, average brightness, maximum-maximum brightness difference, maximum-minimum brightness difference, and maximum average brightness difference in each component area corresponding to each fault cause are calculated one by one with the maximum brightness, minimum brightness, average brightness, maximum-maximum brightness difference, maximum-minimum brightness difference, and maximum average brightness difference in each component area of ​​the normal infrared thermal image; when the difference exceeds a threshold, it is recorded as an abnormal feature, and the component area corresponding to the abnormal feature is recorded as an abnormal component area; the fault heating model is obtained according to the fault cause, the abnormal feature, and the abnormal component area.

5. The power equipment status monitoring system based on thermal imaging technology according to claim 4 is characterized in that: The power equipment abnormality warning module includes: The abnormal set unit is used to obtain the abnormal features and abnormal areas corresponding to each fault cause in the fault heating model, and obtain the abnormal feature set and abnormal area set corresponding to each fault cause.

6. The power equipment status monitoring system based on thermal imaging technology according to claim 5 is characterized in that: The power equipment abnormality warning module includes: The abnormality recording unit is used to obtain the maximum brightness, minimum brightness, average brightness, maximum maximum brightness difference, maximum minimum brightness difference and maximum average brightness difference in each component area in real time, and calculate the difference one by one with the corresponding data of the normal infrared thermal image corresponding to the current ambient temperature and equipment operation data. If it exceeds the threshold, the real-time abnormal characteristics and real-time abnormal area are obtained.

7. The power equipment status monitoring system based on thermal imaging technology according to claim 6 is characterized in that: The power equipment abnormality warning module includes: The abnormal warning level unit is used to obtain the corresponding abnormal feature set and abnormal area set according to one or more possible fault causes of the real-time abnormal features and the real-time abnormal area; calculate the ratio of the number of real-time abnormal features and real-time abnormal areas to the number of elements of each abnormal feature set and abnormal area set, and determine the abnormal warning level according to the ratio.

8. The power equipment status monitoring system based on thermal imaging technology according to claim 7 is characterized in that: The abnormal warning level unit is used to record the abnormal warning level as a high level when the ratio corresponding to the real-time abnormal feature and the ratio corresponding to the real-time abnormal area are both 1.

9. The power equipment status monitoring system based on thermal imaging technology according to claim 1 is characterized in that: The system comprises: The shooting frequency module is used to adjust the shooting frequency of the infrared thermal imaging device according to the current warning level. The higher the warning level, the higher the shooting frequency.

10. A method for monitoring the state of electric equipment based on thermal imaging technology, characterized in that: The following steps are involved: S100, photographing the power equipment at multiple angles using an infrared thermal imaging device to obtain infrared thermal images at multiple angles; S200, marking components on the acquired real-time infrared thermal image according to the positions of components inside the power equipment in the infrared thermal image at multiple angles; S300, obtaining multiple frames of infrared thermal images of the power equipment in normal operation for a period of time under different ambient temperatures and different equipment operation data, and calculating the maximum brightness, minimum brightness, average brightness, and maximum maximum brightness difference, maximum minimum brightness difference, and maximum average brightness difference in each component area in each frame of the infrared thermal image; S400, obtaining multiple frames of infrared thermal images corresponding to each fault cause of the power equipment within a period of time before the fault occurs and the corresponding ambient temperature and equipment operation data, and obtaining a fault heating model under different ambient temperatures and equipment operation data; S500, obtaining the current ambient temperature of the power equipment, equipment operation data, and multiple frames of real-time thermal imaging images, obtaining the maximum brightness, minimum brightness, average brightness, and maximum maximum brightness difference, maximum minimum brightness difference, and maximum average brightness difference between different frames in each component area in each frame of real-time infrared thermal image, and comparing them one by one with the corresponding data of the normal infrared thermal image corresponding to the current ambient temperature and equipment operation data. If there is an abnormality, issuing different levels of warnings according to the abnormal data; S600: When a high-level warning is issued, the current ambient temperature of the power equipment, equipment operation data, and multiple frames of real-time thermal imaging images are input into the fault heating model to obtain the cause of the fault.

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