Tracing analysis method and system for environmental dust pollutants of electrical equipment

Abstract

The invention relates to the technical field of dust traceability, in particular to a traceability analysis method and system for environmental dust pollutants of electrical equipment. The method comprises the steps of obtaining image data and an equipment structure of the electrical equipment; the equipment structure comprises a movable structure and a static structure; the distribution characteristics of dust on the static structure are judged based on the image data, and the action direction of a movable structure adjacent to the static structure is determined; under the condition that the distribution characteristic and the action direction of the movable structure have an association relationship, judging that the dust is from the movable structure; the incidence relation comprises that the amount of dust close to the tail end of the action direction of the moving structure on the static structure is larger than the amount of dust away from the tail end of the action direction of the moving structure, and the problem that an existing dust tracing method is mainly based on the space environment, and the specific source of dust is difficult to effectively judge in a workshop where large electrical equipment works is effectively solved.

Description

Technical Field

[0001] This application relates to the technical field of dust traceability, and particularly to a method and system for traceability analysis of environmental dust pollutants of electrical equipment. Background Art

[0002] In industrial production, dust not only affects the air quality of the working environment but may also damage the normal operation of electrical equipment. Through dust traceability, it is possible to effectively understand the dust generation process, find ways to reduce dust generation, or select appropriate dust removal electrical equipment to reduce dust emissions, which is of great significance for protecting employees' health, maintaining the operation of electrical equipment, protecting the environment, and ensuring the compliance operation of enterprises.

[0003] However, existing dust traceability methods are mostly based on the spatial environment, and it is difficult to effectively determine the specific source of dust in the workshop where large electrical equipment operates. Summary of the Invention

[0004] Based on this, it is necessary to provide a method and system for traceability analysis of environmental dust pollutants of electrical equipment in view of the above technical problems.

[0005] In a first aspect, this application provides a method for traceability analysis of environmental dust pollutants of electrical equipment, the method including:

[0006] Obtain image data of the electrical equipment and the equipment structure; the equipment structure includes a moving structure and a static structure;

[0007] Based on the image data, judge the distribution characteristics of dust on the static structure, and determine the movement direction of the moving structure adjacent to the static structure;

[0008] In the case where there is a correlation between the distribution characteristics and the movement direction of the moving structure, judge that the dust comes from the moving structure; the correlation includes that the amount of dust near the end of the movement direction of the moving structure on the static structure is greater than the amount of dust far from the end of the movement direction of the moving structure.

[0009] In one embodiment, the method further includes:

[0010] In the case of judging that the dust comes from the moving structure, obtain the particle type of the dust at the start end of the movement direction of the moving structure and the particle type of the dust at the end of the movement direction;

[0011] If the particle type at the start end of the movement direction is the same as the particle type at the end of the movement direction, output a first prompt message, otherwise output a second prompt message; the first prompt message is used to indicate that the dust is environmental dust at the start end of the movement direction of the moving structure, and the second prompt message is used to indicate that the dust contains internal dust of the moving structure and environmental dust at the start end of the movement direction.

[0012] In one embodiment, the method further includes:

[0013] Responding to the first prompt message, performing the first detection strategy includes:

[0014] Obtaining airflow data within a preset range of the electrical equipment; the airflow data includes a plurality of airflow distribution paths and corresponding airflow intensities;

[0015] Marking the areas between the airflow distribution paths as feature nodes, and collecting laser scattering intensity data between the feature nodes;

[0016] Determining the movement path of the dust according to the laser scattering intensity data, and determining the source distance of the dust according to the movement path of the dust, the airflow intensity corresponding to each airflow distribution path, and the particle type at the starting end of the movement direction;

[0017] In the case where the number of particle types at the starting end of the movement direction does not correspond to the number of movement paths of the dust, performing a secondary detection on the airflow data.

[0018] In one embodiment, the method further includes:

[0019] Responding to the second prompt message, performing the second detection strategy includes:

[0020] Comparing the particle types of the dust at the end of the movement direction with the materials of the equipment structure respectively;

[0021] If the particle type of the dust at the end of the movement direction is the same as the material of the equipment structure, outputting an electrical equipment wear prompt message, otherwise performing the first detection strategy.

[0022] In one embodiment, the method further includes:

[0023] Dividing the dust adsorption area according to the adsorption characteristics of the static structure includes: marking the adsorption part of the static structure that can generate static electricity as the electrostatic adsorption area, marking the adsorption part of the static structure that can generate heat as the temperature difference adsorption area, and marking other electrical equipment as the natural landing area;

[0024] In the case where it is determined that there is no correlation between the distribution characteristics and the movement direction of the moving structure, checking whether the static structure includes an electrostatic adsorption area or a temperature difference adsorption area. If it includes an electrostatic adsorption area, outputting a shutdown grounding detection prompt message. If it includes a temperature difference adsorption area, outputting a shutdown first preset duration detection prompt message;

[0025] If the static structure is the natural landing area, it is determined that the dust does not originate from the moving structure.

[0026] In one embodiment, the method further includes:

[0027] Obtain the image data to be compared for the electrical equipment without dust coverage;

[0028] Generate a top view structure diagram of the electrical equipment according to the equipment structure, and respectively overlap it with the image data and the image data to be compared in equal proportion;

[0029] Based on the equipment structure, mark the static structure in the image data after equal-proportion overlap to obtain the first feature region, and mark the static structure in the image data to be compared after overlap to obtain the second feature region;

[0030] Convert the image data and the image data to be compared into grayscale;

[0031] According to the second feature region corresponding to the image data after grayscale conversion, determine the image grayscale without dust coverage, and compare it with the image grayscale of the first feature region corresponding to the image data to be compared after grayscale conversion;

[0032] Determine the change in dust coverage in the dust-covered area corresponding to the first image feature according to the comparison result.

[0033] In a second aspect, the present application provides a traceability analysis system for environmental dust pollutants of electrical equipment. The system includes:

[0034] An acquisition module for acquiring the image data of the electrical equipment and the equipment structure; the equipment structure includes a moving structure and a static structure;

[0035] A judgment module for judging the distribution characteristics of dust on the static structure based on the image data and determining the action direction of the moving structure adjacent to the static structure;

[0036] The judgment module is further configured to judge that the dust comes from the moving structure when there is an association relationship between the distribution characteristics and the action direction of the moving structure; the association relationship includes that the amount of dust on the static structure near the end of the action direction of the moving structure is greater than the amount of dust far from the end of the action direction of the moving structure.

[0037] In a third aspect, the present application provides a computer electrical equipment, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of the method provided in the first aspect of the present application are implemented.

[0038] In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method provided in the first aspect of the present application are implemented.

[0039] In a fifth aspect, the present application provides a computer program product, including a computer program. When the computer program is executed by a processor, the steps of the method provided in the first aspect of the present application are implemented.

[0040] The above-mentioned method and system for tracing the source of environmental dust pollutants of electrical equipment can obtain the image data and equipment structure of the electrical equipment, analyze the distribution characteristics of dust on the static structure in the equipment structure according to the image data, and determine the movement direction of the moving structure, so as to judge whether there is a correlation between the movement direction of the moving structure and the dust distribution on the static structure, and when the amount of dust near the end of the movement direction of the moving structure is greater than the amount of dust far from the end of the movement direction of the moving structure, it is judged that the above-mentioned correlation exists, thereby providing a basis for tracing the action source of the moving structure to determine the dust source, and effectively solving the problem that the existing dust tracing methods are mostly based on the spatial environment, and it is difficult to effectively judge the specific source of dust in the workshop where large electrical equipment works. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for use in the description of the embodiments or related technologies. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0042] Figure 1 Schematic diagram of steps for judging the dust source based on the equipment structure in an embodiment;

[0043] Figure 2 Schematic diagram of steps for judging the type of dust in an embodiment;

[0044] Figure 3 Schematic diagram of steps for corresponding detection prompts based on dust adsorption area data in an embodiment;

[0045] Figure 4 Schematic diagram of steps for judging the change of dust coverage based on image data in an embodiment;

[0046] Figure 5 Structure block diagram of a system for tracing the source of environmental dust pollutants of an electrical equipment in an embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0047] In order to make the above-mentioned objects, features and advantages of the present application more obvious and understandable, the following will give a detailed description of the specific embodiments of the present application with reference to the drawings. Many specific details are set forth in the following description in order to fully understand the present application. However, the present application can be implemented in many other ways different from those described herein. Those skilled in the art can make similar improvements without departing from the connotation of the present application. Therefore, the present application is not limited by the specific embodiments disclosed below.

[0048] In addition, the terms "first" and "second" are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include at least one such feature. In the description of this application, "a plurality of" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0049] In an exemplary embodiment, as Figure 1 shown, this application provides a method for tracing and analyzing environmental dust pollutants of electrical equipment, and the method includes the following steps S102 to S106. Among them:

[0050] Step S102, obtain the image data and equipment structure of the electrical equipment; the equipment structure includes a moving structure and a static structure.

[0051] Specifically, generally electrical equipment can include power generation equipment, power transmission equipment, power distribution equipment control equipment, and power equipment. During the process of their performing corresponding actions, they are also connected to moving structures such as fans and conveyor belts and jointly form electrical equipment with corresponding field functional attributes. During their operation, since the static structure can land dust and the moving structure can drive the dust onto the static structure, by dividing the moving structure and the static structure, the dust can be traced back to find the dust source that lands at the starting end of the moving direction of the moving structure and is driven by the moving structure to the static structure to form dust coverage.

[0052] Specifically, the moving structure includes structures on the electrical equipment that can rotate, transmit power, and move, and the static structure is a static structure.

[0053] Exemplarily, the image data can be image data captured by an industrial camera.

[0054] Step S104, based on the image data, judge the distribution characteristics of the dust on the static structure, and determine the action direction of the moving structure adjacent to the static structure.

[0055] Among them, the distribution characteristics of the dust can be the thickness characteristics of the dust covering different positions of the static structure.

[0056] Specifically, the moving structure is usually adjacent to or connected to the static structure, thereby forming the transmission of the dust. Therefore, by obtaining the action direction of the moving structure adjacent to the static structure, it is possible to judge whether there is dust at the action source of the moving structure.

[0057] Step S106, in the case where there is an association relationship between the distribution characteristics and the action direction of the moving structure, judge that the dust comes from the moving structure; the association relationship includes that the amount of dust on the static structure close to the end of the action direction of the moving structure is greater than the amount of dust far from the end of the action direction of the moving structure.

[0058] It is understandable that the moving structure drives the dust along the action direction to the static structure. Therefore, the amount of dust at the position of the static structure close to the moving structure is naturally greater than that at the position far from the moving structure. Specifically, the amount of dust can be estimated according to the thickness and coverage area of the dust in the image data. For example, an index for characterizing the amount of dust is defined, and this index is obtained by multiplying the coverage area of the dust in the image data by the average thickness of the dust.

[0059] The above method for tracing the source of environmental dust pollutants of an electrical device can obtain the image data and device structure of the electrical device, analyze the distribution characteristics of the dust on the static structure in the device structure according to the image data, and determine the action direction of the moving structure, so as to judge whether there is a correlation between the action direction of the moving structure and the dust distribution on the static structure. And when the number of dust particles at the end of the action direction of the moving structure is greater than the number of dust at the end far from the action direction of the moving structure, it is judged that the above correlation exists. Furthermore, it provides a basis for tracing the action source of the moving structure to determine the dust source, effectively solving the problem that the existing dust tracing methods are mostly based on the space environment, and it is difficult to effectively judge the specific source of dust in the workshop where large electrical equipment works.

[0060] In an exemplary embodiment, as Figure 2 shown, the method further includes the following steps S202 to S204. Among them:

[0061] Step S202, when it is judged that the dust comes from the moving structure, obtain the particle type of the dust at the starting end of the action direction of the moving structure and the particle type of the dust at the ending end of the action direction.

[0062] Specifically, during the movement of the moving structure, it may generate dust due to material transportation, or due to the wear of the structure itself, or due to the existence of dust at the starting end of the action direction of the moving structure, which causes the dust to be driven along the action direction to the static structure. Therefore, it is necessary to judge the type of dust to determine the source of the dust.

[0063] Step S204, if the particle type at the starting end of the action direction is the same as the particle type at the ending end of the action direction, output the first prompt message, otherwise output the second prompt message; the first prompt message is used to indicate that the dust is the environmental dust at the starting end of the action direction of the moving structure, and the second prompt message is used to indicate that the dust contains the internal dust of the moving structure and the environmental dust at the starting end of the action direction.

[0064] Specifically, if the particle types existing at the starting end and the ending end of the action direction are the same, it can be determined that the source of the dust is not the wear of the moving structure. Therefore, it is indicated that there is a dust source at the starting end of the action direction, which may be material or environmental dust.

[0065] Further, if the particle types at the start and end of the movement direction are different, it indicates wear and the equipment needs to be inspected. At the same time, it still means that there may still be environmental dust at the start of the movement direction.

[0066] In one embodiment, the method further includes the following steps:

[0067] Responding to the first prompt message, performing the first detection strategy includes:

[0068] Obtaining airflow data within a preset range of the electrical equipment; the airflow data includes multiple airflow distribution paths and the corresponding airflow intensities;

[0069] Marking the spaces between the airflow distribution paths as characteristic nodes, and collecting the laser scattering intensity data between the characteristic nodes;

[0070] Determining the movement path of the dust according to the laser scattering intensity data, and determining the source distance of the dust according to the movement path of the dust, the airflow intensities corresponding to the airflow distribution paths, and the particle type at the start of the movement direction;

[0071] In the case where the number of particle types at the start of the movement direction does not correspond to the number of movement paths of the dust, perform secondary detection on the airflow data.

[0072] Among them, by obtaining the airflow data, it is possible to effectively judge the movement direction of environmental dust in the air. During the movement of the airflow, environmental dust may be transmitted to the electrical equipment by multiple airflows. Therefore, the distribution density of the dust is determined by the method of laser scattering, and then it is determined which associated airflows drive the movement of the dust.

[0073] Further, through the airflow intensity and the dust type, it is possible to judge the transmission effect of the airflow on the corresponding mass of dust. As the airflow increases, the transmission direction of the dust is farther, and thus the distance of the dust source point can be judged.

[0074] In one embodiment, the method further includes the following steps:

[0075] Responding to the second prompt message, performing the second detection strategy includes:

[0076] Comparing the particle types of the dust at the end of the movement direction with the materials of the equipment structure respectively;

[0077] If the particle type of the dust at the end of the movement direction is the same as the material of the equipment structure, output an electrical equipment wear prompt message, otherwise perform the first detection strategy.

[0078] Specifically, after comparing according to the particle type, there may still be a situation where the environmental dust at the end of the movement direction directly lands on the static structure, rather than being introduced from the beginning of the movement direction. Therefore, by judging the material, the source of the environmental dust can be further determined.

[0079] In one embodiment, as Figure 3 shown, the method further includes the following steps S302 to S304.

[0080] Wherein:

[0081] Step S302, dividing the dust adsorption area according to the adsorption characteristics of the static structure includes: marking the adsorption part of the static structure that can generate static electricity as the static electricity adsorption area, marking the adsorption part of the static structure that can generate heat as the temperature difference adsorption area, and marking other electrical equipment as the natural landing area.

[0082] Specifically, due to the adsorption characteristics of electrical equipment that are prone to generate static electricity adsorption and temperature difference adsorption, a part of the static structure is more likely to land dust while another part is relatively less likely to land dust. Therefore, through area division, misjudging the source of dust according to the thickness of dust coverage can be avoided.

[0083] Step S304, in the case where it is determined that there is no correlation between the distribution characteristics and the movement direction of the moving structure, check whether the static structure includes a static electricity adsorption area or a temperature difference adsorption area. If it includes a static electricity adsorption area, output a shutdown grounding detection prompt message. If it includes a temperature difference adsorption area, output a shutdown detection prompt message for the first preset duration; if the static structure is a natural landing area, judge that the dust does not come from the moving structure.

[0084] Specifically, in the case of indicating an area with adsorption characteristics, according to the adsorption characteristics, ground the static electricity adsorption area to conduct static electricity diversion and then re-detect. In the case of a temperature difference adsorption area, it is necessary to judge the movement direction of the dust under the condition of cooling.

[0085] Specifically, the temperature difference adsorption area usually causes temperature difference adsorption due to high temperature evaporating moisture in the air and condensing at low temperature.

[0086] In one embodiment, as Figure 4 shown, the method further includes the following steps S402 to S412.

[0087] Wherein:

[0088] Step S402, obtain the image data to be compared of the electrical equipment without dust coverage.

[0089] Specifically, during the process of detecting dust, due to the different covering thicknesses of the dust, the exposed areas of the static structure are different. Therefore, the dust can be identified by comparing the image information of the static structure itself with the image of the static structure after being covered with dust.

[0090] Step S404: Generate a top view structure diagram of the electrical equipment according to the equipment structure, and superpose it with the image data and the image data to be compared in equal proportion.

[0091] Specifically, since the dust usually falls from top to bottom, for the convenience of tracing, the dust distribution analysis can be effectively carried out by obtaining the top view of the electrical equipment.

[0092] Step S406: Mark the static structure in the image data after equal-proportion superposition to obtain the first feature region, and mark the static structure in the image data to be compared after superposition to obtain the second feature region.

[0093] Specifically, the static structure without dust coverage can be marked as the first feature region, and the static structure covered with dust can be marked as the second feature region, which is convenient for feature comparison.

[0094] Step S408: Convert the image data and the image data to be compared into grayscale.

[0095] Specifically, grayscale conversion can enhance the contrast before and after dust coverage.

[0096] Step S410: Determine the image grayscale in the case of no dust coverage according to the second feature region corresponding to the image data after grayscale conversion, and compare it with the image grayscale of the first feature region corresponding to the image data to be compared after grayscale conversion.

[0097] Step S412: Determine the dust coverage change situation of the dust coverage area corresponding to the first image feature according to the comparison result.

[0098] Specifically, the grayscale values corresponding to the images with different dust coverage thicknesses can be recorded separately according to historical data, and then the dust coverage change situation of the dust coverage area corresponding to the first image feature can be determined by grading the dust grayscale.

[0099] It should be understood that although the steps in the flowcharts involved in the above embodiments are shown in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, there is no strict order limit for the execution of these steps, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or steps or stages in other steps.

[0100] Based on the same inventive concept, an embodiment of the present application also provides a traceability analysis system for electrical equipment environmental dust pollutants for implementing the traceability analysis method of electrical equipment environmental dust pollutants described above. The solution provided by this system to solve the problem is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the traceability analysis system for electrical equipment environmental dust pollutants provided below can refer to the limitations on the traceability analysis method of electrical equipment environmental dust pollutants in the above text, and will not be repeated here.

[0101] In a second aspect, as Figure 5 shown, the present application also provides a traceability analysis system 500 for electrical equipment environmental dust pollutants. The system includes:

[0102] An acquisition module 501, configured to acquire image data of an electrical equipment and the equipment structure; the equipment structure includes a moving structure and a static structure;

[0103] A judgment module 502, configured to judge the distribution characteristics of dust on the static structure based on the image data, and determine the movement direction of the moving structure adjacent to the static structure;

[0104] The judgment module 502 is further configured to judge that the dust comes from the moving structure when there is an association relationship between the distribution characteristics and the movement direction of the moving structure; the association relationship includes that the amount of dust on the static structure near the end along the movement direction of the moving structure is greater than the amount of dust far from the end along the movement direction of the moving structure.

[0105] In a third aspect, the present application also provides a computer device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements the steps of a traceability analysis method for electrical equipment environmental dust pollutants as described above.

[0106] Fourthly, the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of a method for traceability analysis of dust pollutants in the electrical equipment environment as described above are implemented.

[0107] Fifthly, the present application provides a computer program product, including a computer program. When the computer program is executed by a processor, the steps of a method for traceability analysis of dust pollutants in the electrical equipment environment as described above are implemented.

[0108] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided by the present application can include at least one of non-volatile and volatile memories. Non-volatile memories can include read-only memory (ROM), magnetic tapes, floppy disks, flash memories, optical memories, high-density embedded non-volatile memories, resistive random access memories (ReRAMs), magnetoresistive random access memories (MRAMs), ferroelectric random access memories (FRAMs), phase change memories (PCMs), graphene memories, etc. Volatile memories can include random access memory (RAM) or external cache memories, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided by the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided by the present application can be general-purpose processors, central processing units, graphics processors, digital signal processors, programmable logics, data processing logics based on quantum computing, etc., without limitation.

[0109] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0110] The above-described embodiments merely represent several implementation manners of the present application. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the patent of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several deformations and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A method for tracing the source of dust pollutants in the environment of electrical equipment, characterized in that: The method comprises: Acquire image data and device structure of the electrical device; the device structure includes a dynamic structure and a static structure; Determining the distribution characteristics of dust on the static structure based on the image data, and determining the movement direction of the dynamic structure adjacent to the static structure; When there is a correlation between the distribution feature and the movement direction of the dynamic structure, it is determined that the dust originates from the dynamic structure; the correlation includes that the amount of dust on the static structure close to the end of the movement direction of the dynamic structure is greater than the amount of dust far from the end of the movement direction of the dynamic structure.

2. The method according to claim 1, characterized in that The method further comprises: In the case where it is determined that the dust originates from the moving structure, obtaining the particle type of the dust at the beginning of the moving direction of the moving structure and the particle type of the dust at the end of the moving direction; If the particle type at the beginning of the movement direction is the same as the particle type at the end of the movement direction, a first prompt message is output, otherwise a second prompt message is output; the first prompt message is used to indicate that the dust is the environmental dust at the beginning of the movement direction of the moving structure, and the second prompt message is used to indicate that the dust includes the dust inside the moving structure and the environmental dust at the beginning of the movement direction.

3. The method according to claim 2, characterized in that The method further comprises: In response to the first prompt information, executing a first detection strategy includes: Acquire airflow data within a preset range of the electrical equipment; the airflow data includes a plurality of airflow distribution paths and corresponding airflow intensities; Marking each of the airflow distribution paths as a characteristic node, and collecting laser scattering intensity data between each characteristic node; Determine the movement path of the dust according to the laser scattering intensity data, and determine the source distance of the dust according to the movement path of the dust, the airflow intensity corresponding to each of the airflow distribution paths, and the particle type at the beginning of the movement direction; In the case where the number of particle types at the beginning of the movement direction does not correspond to the number of movement paths of the dust, the airflow data is subjected to a secondary detection.

4. The method according to claim 2, characterized in that: The method further comprises: In response to the second prompt information, executing the second detection strategy includes: Comparing the particle types of the dust at the end of the action direction with the material of the device structure respectively; If the particle type of the dust at the end of the movement direction is the same as the material of the equipment structure, then the electrical equipment wear prompt information is output, otherwise the first detection strategy is executed.

5. The method according to claim 2, characterized in that: The method further comprises: Dividing the dust adsorption area according to the adsorption characteristics of the static structure includes: marking the adsorption part of the static structure that can generate static electricity as the electrostatic adsorption area, marking the adsorption part of the static structure that can generate heat as the temperature difference adsorption area, and marking other electrical equipment as the natural landing area; When it is determined that there is no correlation between the distribution characteristics and the movement direction of the dynamic structure, check whether the static structure includes the electrostatic adsorption area or the temperature difference adsorption area. If it includes the electrostatic adsorption area, output the shutdown grounding detection prompt information; if it includes the temperature difference adsorption area, output the shutdown first preset time detection prompt information; if the static structure is a natural landing area, it is determined that the dust does not come from the dynamic structure.

6. The method according to claim 1, characterized in that The method further comprises: Obtain the image data to be compared of the electrical equipment without dust coverage; Generate a top view structural diagram of the electrical device according to the device structure, and overlap it with the image data and the image data to be compared in equal proportions; Based on the equipment structure marks, the static structures in the image data overlapped in equal proportions are used to obtain a first characteristic region, and the static structures in the image data to be compared are marked to obtain a second characteristic region; Performing grayscale conversion on the image data and the image data to be compared; Determine the image grayscale without dust coverage according to the second characteristic region corresponding to the image data after the grayscale conversion, and compare it with the image grayscale of the first characteristic region corresponding to the image data to be compared after the grayscale conversion; The dust coverage change of the dust coverage area corresponding to the first image feature is determined according to the comparison result.

7. A system for tracing and analyzing dust pollutants in the environment of electrical equipment, characterized in that: The system comprises: An acquisition module, used to acquire image data and device structure of the electrical device; the device structure includes a dynamic structure and a static structure; a judgment module, configured to judge the distribution characteristics of dust on the static structure based on the image data, and determine the movement direction of the dynamic structure adjacent to the static structure; The judgment module is also used to judge that the dust originates from the dynamic structure when there is a correlation between the distribution characteristics and the movement direction of the dynamic structure; the correlation includes that the amount of dust on the static structure close to the end of the movement direction of the dynamic structure is greater than the amount of dust far from the end of the movement direction of the dynamic structure.

8. A computer electrical device, comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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