A method and system for tracing and analyzing dust pollutants in the environment of electrical equipment

Abstract

The present application relates to the field of dust source tracing technology, and in particular to a method and system for tracing the source of dust pollutants in the environment of electrical equipment. The method comprises: obtaining image data and equipment structure of the electrical equipment; the equipment structure comprises a dynamic structure and a static structure; judging 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; judging 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 comprises 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, which effectively solves the problem that existing dust source tracing methods are mostly based on spatial environments and are difficult to effectively determine the specific source of dust in workshops where large electrical equipment is working.

Description

Technical Field

[0001] The present application relates to the technical field of dust source tracing, and in particular to a method and system for tracing the source of dust pollutants in the environment of electrical equipment. Background Art

[0002] In industrial production, dust not only affects the air quality of the working environment but can also harm the normal operation of electrical equipment. Tracing dust sources can effectively understand the dust generation process, identify methods to reduce dust generation, or select appropriate dust removal electrical equipment to reduce dust emissions. This is crucial for protecting employee health, maintaining the operation of electrical equipment, protecting the environment, and ensuring corporate compliance.

[0003] However, existing dust source tracing methods are mostly based on spatial environment. In workshops where large electrical equipment is working, it is difficult to effectively determine the specific source of dust. Summary of the Invention

[0004] Based on this, it is necessary to provide a method and system for tracing the source of dust pollutants in the environment of electrical equipment to address the above technical problems.

[0005] In a first aspect, the present application provides a method for tracing the source of dust pollutants in the environment of electrical equipment, the method comprising:

[0006] Acquire image data and device structure of electrical equipment; the device structure includes dynamic structure and static structure;

[0007] Determine the distribution characteristics of dust on the static structure based on image data and determine the movement direction of the dynamic structure adjacent to the static structure;

[0008] When there is a correlation between the distribution characteristics 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.

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

[0010] When it is determined that the dust comes from a moving structure, 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 are obtained;

[0011] 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, the first prompt information is output, otherwise the second prompt information is output; the first prompt information 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 information 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.

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

[0013] In response to the first prompt information, executing the first detection strategy includes:

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

[0015] Mark each airflow distribution path as a characteristic node and collect laser scattering intensity data between each characteristic node;

[0016] The movement path of the dust is determined based on the laser scattering intensity data, and the source distance of the dust is determined based on the movement path of the dust, the airflow intensity corresponding to each airflow distribution path, and the particle type at the beginning of the movement direction;

[0017] In the case that the number of particle types at the beginning of the motion direction does not correspond to the number of movement paths of the dust, the airflow data is subjected to a secondary detection.

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

[0019] In response to the second prompt information, executing the second detection strategy includes:

[0020] Compare the particle type of the dust at the end of the action direction with the material of the equipment structure;

[0021] If the particle type of the dust at the end of the action 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.

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

[0023] Classifying dust adsorption areas according to the adsorption characteristics of static structures 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] When it is determined that there is no correlation between the distribution characteristics and the movement direction of the dynamic structure, checking whether the static structure includes an electrostatic adsorption area or a temperature difference adsorption area, and outputting a shutdown grounding detection prompt message if the static structure includes an electrostatic adsorption area, and outputting a shutdown first preset time detection prompt message if the static structure includes a temperature difference adsorption area;

[0025] If the static structure is a natural landing area, it is judged that the dust does not come from the dynamic structure.

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

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

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

[0029] Marking the static structure in the image data after the device structure is proportionally overlapped to obtain a first feature area, and marking the static structure in the overlapped image data to be compared to obtain a second feature area;

[0030] Performing grayscale conversion on the image data and the image data to be compared;

[0031] Determine the image grayscale without dust coverage based on the second characteristic region corresponding to the image data to be compared after grayscale conversion, and compare it with the image grayscale of the first characteristic region corresponding to the image data after grayscale conversion;

[0032] The dust coverage change of the first characteristic area is determined based on the comparison results.

[0033] In a second aspect, the present application provides a system for tracing and analyzing dust pollutants in an electrical equipment environment, the system comprising:

[0034] An acquisition module is used to acquire image data and device structure of electrical equipment; the device structure includes a dynamic structure and a static structure;

[0035] 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;

[0036] The judgment module is also used to judge that the dust comes from the dynamic structure when there is a correlation between the distribution characteristics and the movement direction of the dynamic structure; the correlation relationship 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.

[0037] In a third aspect, the present application provides a computer electrical device comprising a memory and a processor, wherein 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 having a computer program stored thereon, which, when executed by a processor, implements the steps of the method provided in the first aspect of the present application.

[0039] In a fifth aspect, the present application provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of the method provided in the first aspect of the present application.

[0040] The above-mentioned method and system for tracing the source of dust pollutants in the environment 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 based on the image data, and determine the movement direction of the dynamic structure to judge whether there is a correlation between the movement direction of the dynamic structure and the dust distribution on the static structure, and judge that the above-mentioned correlation exists when the amount of dust 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, thereby providing a basis for tracing the movement source of the dynamic structure to determine the source of the dust, 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 workshops 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 briefly introduces the drawings required for use in the embodiments or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0042] Figure 1 A schematic diagram of the steps for determining the source of dust based on the equipment structure in one embodiment;

[0043] Figure 2 A schematic diagram of the steps for determining the type of dust in one embodiment;

[0044] Figure 3 A schematic diagram of the steps of providing detection prompts based on dust adsorption area data in one embodiment;

[0045] Figure 4 A schematic diagram of the steps for determining a change in dust coverage based on image data in one embodiment;

[0046] Figure 5 The figure is a structural block diagram of a system for tracing and analyzing dust pollutants in an electrical equipment environment in one embodiment. DETAILED DESCRIPTION

[0047] To make the above-mentioned objects, features, and advantages of the present application more clearly understood, the specific embodiments of the present application are described in detail below with reference to the accompanying drawings. The following description sets forth many specific details to facilitate a full understanding of the present application. However, the present application can be implemented in many other ways than those described herein, and those skilled in the art can make similar improvements without violating the scope of the present application. Therefore, the present application is not limited to the specific embodiments disclosed below.

[0048] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. Throughout the description of this application, "plurality" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0049] In an exemplary embodiment, Figure 1 As shown, the present application provides a method for tracing the source of dust pollutants in the environment of electrical equipment, which includes the following steps S102 to S106.

[0050] Step S102 : acquiring image data and device structure of the electrical device; the device structure includes a dynamic structure and a static structure.

[0051] Specifically, electrical equipment usually includes power generation equipment, transmission equipment, distribution equipment, control equipment and power equipment. In the process of performing response actions, it will also be connected with dynamic structures including fans, conveyor belts, etc., and thus together constitute electrical equipment with corresponding functional attributes. During its operation, since the static structure can land dust and the dynamic structure can drive the dust to the static structure, the dust can be traced by dividing the dynamic structure and the static structure, and the dust source can be found, which lands at the beginning of the movement direction of the dynamic structure and is driven by the dynamic structure to the static structure to form dust coverage.

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

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

[0054] Step S104 : judging 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.

[0055] The distribution characteristics of the dust may be the thickness characteristics of the dust covering different positions of the static structure.

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

[0057] Step S106: If there is a correlation between the distribution characteristics and the movement direction of the dynamic structure, it is determined that the dust comes 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.

[0058] It can be understood that the dynamic structure transmits the dust to the static structure along the direction of movement, so the amount of dust at the position of the static structure close to the dynamic structure is naturally greater than the amount of dust at the position far away from the dynamic structure. Specifically, the amount of dust can be estimated based on the thickness and coverage area of ​​the dust in the image data. For example, an indicator for characterizing the amount of dust is defined, which is obtained by multiplying the coverage area of ​​the dust in the image data by the average thickness of the dust.

[0059] The above-mentioned method for tracing the source of dust pollutants in the environment 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 based on the image data, and determine the movement direction of the dynamic structure to judge whether there is a correlation between the movement direction of the dynamic structure and the dust distribution on the static structure, and judge that the above-mentioned correlation exists when the number of dust particles close to the end of the movement direction of the dynamic structure is greater than the number of dust particles far from the end of the movement direction of the dynamic structure, thereby providing a basis for tracing the movement source of the dynamic structure to determine the source of the dust, 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 workshops where large electrical equipment works.

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

[0061] Step S202 : When it is determined that the dust comes from a moving structure, the particle type of the dust at the beginning of the moving direction and the particle type of the dust at the end of the moving direction are obtained.

[0062] Specifically, during the movement of the dynamic structure, dust may be generated due to material transportation, or due to wear of the structure itself. Dust may also be generated due to the presence of dust at the beginning of the movement direction of the dynamic structure, causing the dust to be driven to the static structure along the movement direction. 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 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.

[0064] Specifically, if the particle types at the beginning and end of the motion direction are the same, it can be clearly seen that the source of the dust is not the wear of the dynamic structure, thus indicating that there is a dust source at the beginning of the motion direction, which may be material or environmental dust.

[0065] Furthermore, if the types of particles at the beginning and end of the motion direction are different, it indicates that there is wear and the equipment needs to be inspected. It also means that there may still be environmental dust at the beginning of the motion direction.

[0066] In one embodiment, the method further comprises the steps of:

[0067] In response to the first prompt information, executing the first detection strategy includes:

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

[0069] Mark each airflow distribution path as a characteristic node and collect laser scattering intensity data between each characteristic node;

[0070] The movement path of the dust is determined based on the laser scattering intensity data, and the source distance of the dust is determined based on the movement path of the dust, the airflow intensity corresponding to each airflow distribution path, and the particle type at the beginning of the movement direction;

[0071] In the case that the number of particle types at the beginning of the motion direction does not correspond to the number of movement paths of the dust, the airflow data is subjected to a secondary detection.

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

[0073] Furthermore, the airflow intensity and dust type can be used to determine the transmission effect of the airflow on the corresponding mass of dust. As the airflow increases, the dust is transmitted farther, thereby determining the distance to the dust source.

[0074] In one embodiment, the method further comprises the steps of:

[0075] In response to the second prompt information, executing the second detection strategy includes:

[0076] Compare the particle type of the dust at the end of the action direction with the material of the equipment structure;

[0077] If the particle type of the dust at the end of the action 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.

[0078] Specifically, after comparing the particle types, it is possible that the environmental dust at the end of the movement direction directly falls on the static structure, rather than being introduced from the beginning of the movement direction. Therefore, the source of the environmental dust can be further determined by judging the material.

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

[0080] 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 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.

[0081] Specifically, because electrical equipment is prone to electrostatic adsorption and temperature difference adsorption, dust is more likely to accumulate on one part of the static structure while dust is less likely to accumulate on the other part. Therefore, through area division, we can avoid misjudging the source of dust based on the thickness of the dust cover.

[0082] Step S304: 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 an electrostatic adsorption area or a temperature difference adsorption area. If it includes an electrostatic adsorption area, output a shutdown grounding detection prompt message; if it includes a temperature difference adsorption area, output a shutdown first preset time detection prompt message; if the static structure is a natural landing area, it is determined that the dust does not come from the dynamic structure.

[0083] Specifically, in the case of an area indicating the presence of adsorption characteristics, the electrostatic adsorption area is grounded according to the adsorption characteristics to guide the static electricity and then re-detected. In the case of a temperature difference adsorption area, cooling is required to determine the movement direction of the dust.

[0084] Specifically, the temperature difference adsorption region generally causes temperature difference adsorption due to evaporation of moisture in the air at high temperatures and condensation at low temperatures.

[0085] In one embodiment, Figure 4 As shown, the method further includes the following steps S402 to S412.

[0086] Step S402: obtaining image data to be compared of the electrical equipment in a state where it is not covered by dust.

[0087] Specifically, during the dust detection process, the exposed area of ​​the static structure varies due to the different dust coverage thicknesses. Therefore, the dust can be identified by comparing the image information of the static structure itself with the image of the static structure covered by the dust.

[0088] Step S404 : generating a top view structural diagram of the electrical equipment according to the equipment structure, and overlapping the top view structural diagram with the image data and the image data to be compared in equal proportions.

[0089] Specifically, since dust usually falls from top to bottom, in order to facilitate tracing the source, dust distribution analysis can be effectively performed by obtaining a top view of the electrical equipment.

[0090] Step S406 , based on the device structure mark, the static structure in the image data after the equal-proportion overlap is obtained as a first feature region, and the static structure in the image data to be compared after the overlap is marked as a second feature region.

[0091] Specifically, the static structure not covered by dust may be marked as a first characteristic region, and the static structure covered by dust may be marked as a second characteristic region, thereby facilitating feature comparison.

[0092] Step S408 : performing grayscale conversion on the image data and the image data to be compared.

[0093] Specifically, grayscale conversion can enhance the contrast between before and after dust coverage.

[0094] Step S410 , determining the image grayscale without dust coverage based on the second characteristic region corresponding to the grayscale converted image data to be compared, and comparing it with the image grayscale of the first characteristic region corresponding to the grayscale converted image data.

[0095] Step S412: determining the dust coverage change of the first characteristic area according to the comparison result.

[0096] Specifically, the grayscale values ​​corresponding to images with different dust coverage thicknesses may be recorded separately according to historical data, and then the dust coverage change of the first characteristic area may be determined by grading the dust grayscale.

[0097] It should be understood that, although the steps in the flowcharts of the above embodiments are shown in sequence as indicated by the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be performed in other orders. Moreover, at least a portion of the steps in the flowcharts of the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily to be performed in sequence, but can be performed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0098] Based on the same inventive concept, embodiments of the present application also provide a system for tracing the source of dust pollutants in the environment of electrical equipment, which is used to implement the aforementioned method for tracing the source of dust pollutants in the environment of electrical equipment. The solution provided by this system is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the system for tracing the source of dust pollutants in the environment of electrical equipment provided below can be found in the limitations of the method for tracing the source of dust pollutants in the environment of electrical equipment, and will not be repeated here.

[0099] Second, as Figure 5 As shown, the present application also provides a system 500 for tracing and analyzing dust pollutants in an electrical equipment environment, the system comprising:

[0100] An acquisition module 501 is used to acquire image data and device structure of an electrical device; the device structure includes a dynamic structure and a static structure;

[0101] A judgment module 502 is used 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;

[0102] The judgment module 502 is further used to judge that the dust comes 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.

[0103] In a third aspect, the present application also provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it implements the steps of the aforementioned method for tracing the source of environmental dust pollutants in electrical equipment.

[0104] In a fourth aspect, the present application also 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 for tracing the source of dust pollutants in the environment of electrical equipment as described above are implemented.

[0105] In a fifth aspect, the present application provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of the aforementioned method for tracing the source of dust pollutants in the environment of electrical equipment.

[0106] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the 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 above-mentioned embodiments. In particular, any reference to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), data processing logic devices based on quantum computing, and the like.

[0107] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, 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, they should be considered to be within the scope of this specification.

[0108] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by 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; If there is a correlation between the distribution characteristics and the movement direction of the moving structure, the dust is determined to originate from the moving structure; the correlation includes that the amount of dust on the static structure close to 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; 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.

2. The method according to claim 1, characterized in that The method further comprises: In response to the first prompt information, executing a first detection strategy includes: Acquiring airflow data within a preset range of the electrical equipment; the airflow data including multiple 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; 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 of the airflow distribution paths, and the particle type at the starting end of the movement direction; In the case that the number of the particle types at the beginning of the movement direction does not correspond to the number of the movement paths of the dust, the airflow data is subjected to a secondary detection.

3. 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 movement direction with the material of the equipment structure; 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.

4. The method according to claim 1, wherein 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, determine that the dust does not come from the dynamic structure.

5. The method according to claim 1, wherein The method further comprises: Obtain the image data to be compared of the electrical equipment without dust coverage; generating a top view structural diagram of the electrical device according to the device structure, and respectively overlapping the top view structural diagram with the image data and the image data to be compared in equal proportion; Obtaining a first characteristic region based on the static structure in the image data after the device structure marks overlap in equal proportion, and obtaining a second characteristic region by marking the static structure in the image data to be compared after the overlap; Performing grayscale conversion on the image data and the image data to be compared; Determine the image grayscale without dust coverage based on the second characteristic region corresponding to the image data to be compared after the grayscale conversion, and compare it with the image grayscale of the first characteristic region corresponding to the image data after the grayscale conversion; The dust coverage change of the first characteristic area is determined according to the comparison result.

6. A system for tracing and analyzing dust pollutants in the environment of electrical equipment, characterized in that: Based on the method according to any one of claims 1 to 5, the system comprises: An acquisition module, configured to acquire image data and a 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 further configured to determine that the dust originates from the moving structure when there is a correlation between the distribution feature and the movement direction of the moving structure; the correlation includes that the amount of dust on the static structure close to the end of the movement direction of the moving structure is greater than the amount of dust away from the end of the movement direction of the moving structure.

7. A computer electrical device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

8. 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 5 are implemented.

9. 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 5 are implemented.

Images