Air pollutant detection method and system

By setting the sampling position and processing the background type in the air particulate detection, image data is obtained and judgment is made, the problem of low detection accuracy of air particulate in urban environments is solved, and a higher detection accuracy is achieved.

CN119880727APending Publication Date: 2025-04-25SHANXI JINLIN TESTING TECH CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202510172350.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-17
Publication Date
2025-04-25

AI Technical Summary

Technical Problem

The existing air particulate detection methods are difficult to accurately identify and separate target particulate matter in urban environments due to the messy background, resulting in low detection accuracy.

Method used

By setting the sampling position and executing the first processing program, the background of the sampling position is the first type or the second type, the corresponding image data is obtained, and the air particulate content is judged through the judgment program to avoid overlapping the background color and the air particulate color.

Benefits of technology

It improves the accuracy of air particulate detection, ensures the reference value of the detection results, and avoids the decrease in detection accuracy caused by overlapping air particulate and background colors.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119880727A_ABST
    Figure CN119880727A_ABST
Patent Text Reader

Abstract

The invention relates to the technical field of air pollution detection, in particular to an air pollutant detection method and system.The air pollutant detection method comprises the steps that a first processing program is executed at a sampling position, and the first processing program processes the background of the sampling position; processing the background of the sampling position into a first type or a second type through a first processing program, acquiring first image data of the sampling position when the background of the sampling position belongs to the first type, and acquiring second image data of the sampling position when the background of the sampling position belongs to the second type, the first image data of the sampling position are acquired, the second image data of the sampling position are acquired, the judgment program is executed on the first image data and the second image data, and the problem that the number of the air particulate matters cannot be accurately acquired due to mutual overlapping of the air particulate matters and the sampling background color is solved through comparison of the first image data and the second image data; and the air particulate matter detection accuracy is further improved.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present invention relates to the technical field of air pollution detection, and in particular to an air pollutant detection method and system. Background Art

[0002] With the rapid development of social economy, environmental issues have become one of the focuses of people's attention. Among these environmental issues, air pollution is particularly prominent, among which particulate pollution is one of the major hidden dangers, posing a serious threat to human health and air quality. Air particulate matter refers to various solid and liquid tiny particles suspended in the air, such as dust, smoke, smog, etc. They not only affect the transparency of the air, but also have an impact on human health and the environment that cannot be ignored.

[0003] Therefore, accurate detection of the content and distribution of air particles is of great significance for improving air quality and protecting public health. However, the current methods of air particle detection generally use sensor technology, such as lidar, optical sensors, photoelectric detectors, etc., to detect particles in the air, but the existing detection methods have low detection accuracy for air particles. Summary of the invention

[0004] The applicant found that when workers were sampling air particles on busy city streets, surrounding elements such as traffic, pedestrians, and buildings would visually interfere with the target particles, making it difficult for the detection equipment to accurately identify and separate the target particles. There are many sources of particles in the urban environment, and their colors and characteristics may vary. The clutter of the urban background may cause the air particles to be confused with the color of the surrounding environment, affecting the accuracy of the detection. For example, industrial emissions, construction sites, and household burning activities may produce particles of different types and colors. When detecting air particles, particles of different types and colors are prone to overlap with the color of the urban background. When detecting the number of air particles, air particles with overlapping colors cannot be accurately detected, resulting in a decrease in the accuracy of air particle detection.

[0005] Based on this, the present invention provides an air pollutant detection method and system to solve the problem that existing staff cannot accurately detect air particles.

[0006] An air pollutant detection method and system of the present invention adopts the following technical solutions:

[0007] A method for detecting air pollutants comprises the following steps:

[0008] Set sampling position;

[0009] Executing a first processing procedure at the sampling position, the first processing procedure processes the background of the sampling position into the first type or the second type;

[0010] When the background at the sampling position belongs to the first type, acquiring first image data at the sampling position;

[0011] When the background at the sampling position belongs to the second type, obtaining second image data at the sampling position;

[0012] executing a judgment program on the first image data and the second image data, the judgment program being used to judge the content of air particles at the sampling position;

[0013] The background colors of the first type and the second type are different.

[0014] Further, in setting the sampling position, the sampling position is set in front of a display terminal in the city, and the display terminal can emit light.

[0015] Furthermore, the first processing procedure includes:

[0016] Set the display terminal to display a single color at a preset time point / preset time period;

[0017] The first image data or the second image data is acquired at a preset time point / in a preset time period.

[0018] Furthermore, the method of acquiring the first image data or the second image data includes:

[0019] Setting a plurality of preset areas on the display terminal;

[0020] Images of multiple preset areas are collected within a preset time period, and the images of the multiple preset areas are spliced.

[0021] Furthermore, the preset area of ​​the display terminal is set to change with the time of a preset time period; the preset area of ​​the display terminal is displayed as a single color within the preset time period.

[0022] Further, the preset time period is the time for acquiring the first image data or acquiring the second image data.

[0023] Furthermore, when acquiring the first image data or the second image data, the image acquisition speed of the preset area is adapted to the change speed of the plurality of preset areas.

[0024] Further, the sampling position is set to include a first light source and a second light source / natural light source, wherein the brightness of the first light source is adjusted according to the brightness of the second light source / the brightness of the natural light source.

[0025] Furthermore, the time interval between acquiring the first image data and acquiring the second image data is less than a first preset value.

[0026] An air pollutant detection system comprises at least a positioning module, a processing module, a first acquisition module, a second acquisition module and a judgment module;

[0027] The positioning module is used to set the sampling position; the processing module is used to execute a first processing program at the sampling position, and the first processing program is used to process the background of the sampling position as the first type or the second type; the first acquisition module is used to acquire the first image data at the sampling position when the background of the sampling position belongs to the first type; the second acquisition module is used to acquire the second image data at the sampling position when the background of the sampling position belongs to the second type; the judgment module is used to execute a judgment program on the first image data and the second image data, and the judgment program is used to judge the content of air particles at the sampling position; wherein the background colors of the first type and the second type are different.

[0028] The beneficial effects of the present invention are as follows: the present invention provides an air pollutant detection method. When detecting air particles in an urban environment, a sampling position is first set to ensure that the sampling position has a certain representativeness, thereby ensuring that the air particle content detected at the sampling position has a reference value; a first processing program is executed at the sampling position, and the first processing program processes the background of the sampling position. After the first processing program, the background of the sampling position is processed into a first type or a second type, wherein the background colors of the first type and the second type are different. When the background of the sampling position belongs to the first type, first image data of the sampling position is obtained, and when the background of the sampling position belongs to the second type, second image data of the sampling position is obtained. At this time, a judgment program is executed on the first image data and the second image data respectively. Since the background color of the sampling position in the first type is different from the background color of the sampling position in the second type, the air particle content displayed in the first image data and the second image data may be different. By comparing the first image data and the second image data, the problem of the air particles and the sampling background color overlapping and the inability to accurately obtain the number of air particles is avoided, and the accuracy of air particle detection is further improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0030] Figure 1 A flow chart of an air pollutant detection method provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below through embodiments and in conjunction with the accompanying drawings. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0032] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0033] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, or it can be an electrical, mechanical or other form of connection.

[0034] like Figure 1 As shown, an air pollutant detection method provided by an embodiment of the present invention includes the following steps:

[0035] S1, set the sampling location. When detecting air particles in an urban environment, by setting the sampling location, the air particle content at the sampling location is set to be representative to ensure that the air particle content detected at the sampling location has a reference value. For example, when setting the sampling location, it is necessary to combine the overall area of ​​the city, the location of the industrial area in the city, the location of the commercial area in the city, etc. The sampling location can be set in the city's industrial area, the city's commercial area, the connection between the city's industrial area and the commercial area, etc., or the city can be divided into multiple areas with an equal area and a sampling location is set in each area.

[0036] S2, execute the first processing program at the sampling location, the first processing program processes the background of the sampling location into the first type or the second type, wherein the background colors of the first type and the second type are different. In an urban environment, activities such as industrial emissions, construction sites, and household burning may produce particles of different types and colors. The background of the sampling location is processed by the first processing program to avoid the overlap of the background color and the color of the air particles, thereby further improving the accuracy of air particle detection. For example, in activities such as industrial emissions, construction sites, and household burning, some air particles may appear in various colors. The first processing program processes the background of the sampling location into a first type of red and a second type of white, wherein the color of the first type and the color of the second type have obvious color differences. If some air particles overlap with the red background, the part of the air particles will not overlap with the white background, thereby improving the accuracy of air particle detection.

[0037] S3, when the background at the sampling position belongs to the first type, the first image data at the sampling position is obtained. When the first image data is obtained, the color of some air particles may overlap with the background of the first type. When the first image data is used alone as a reference, the accuracy of air particle detection is reduced. For example, in activities such as industrial emissions, construction sites, and household burning, some air particles may appear in various colors. When the background at the sampling position belongs to the first type of red, when the first image data is obtained, some air particles may appear red. In this state, some red air particles overlap with the background color, resulting in low accuracy in air particle detection.

[0038] S4, when the background at the sampling position belongs to the second type, obtain the second image data at the sampling position. When obtaining the second image data, the color of some air particles may overlap with the background of the second type. When the second image data is used alone as a reference, the accuracy of air particle detection is reduced. For example, in activities such as industrial emissions, construction sites, and household burning, some air particles may appear in various colors. When the background at the sampling position belongs to the second type of white, when obtaining the second image data, some air particles may appear white. In this state, some white air particles overlap with the background color, resulting in low accuracy in air particle detection.

[0039] S5, executing a judgment program on the first image data and the second image data, the judgment program is used to judge the content of air particles at the sampling position. Specifically, when accurately detecting air particles, the first image data and the second image data are comprehensively analyzed, and the judgment program is executed on the first image data and the second image data at the same time, so that the accuracy of air particle detection is improved under the action of the judgment program. For example, when the judgment program analyzes the first image data, some air particles may appear in various colors. When the background at the sampling position belongs to the first type of red, some air particles may appear red. In this state, some red air particles overlap with the background color. When the judgment program analyzes the second image data, the judgment program can combine the second image data with the first image data. Since some air particles may appear in various colors, when the background at the sampling position belongs to the second type of white, some air particles may appear white. In this state, some white air particles overlap with the background color. However, in the second image data, some red air particles can be displayed, and in the first image data, some white air particles can be displayed. After the judgment program combines the first image data and the second image data, the air particles can be accurately detected.

[0040] The present invention provides an air pollutant detection method. When detecting air particles in an urban environment, a sampling position is first set to ensure that the sampling position has a certain representativeness, thereby ensuring that the air particle content detected at the sampling position has a reference value; a first processing program is executed at the sampling position, and the first processing program processes the background of the sampling position. After the first processing program, the background of the sampling position is processed into a first type or a second type, wherein the background colors of the first type and the second type are different. When the background of the sampling position belongs to the first type, first image data of the sampling position is obtained, and when the background of the sampling position belongs to the second type, second image data of the sampling position is obtained. At this time, a judgment program is executed on the first image data and the second image data respectively. Since the background color of the sampling position in the first type is different from the background color of the sampling position in the second type, the air particle content displayed in the first image data and the second image data may be different. By comparing the first image data and the second image data, the problem of the air particles and the sampling background color overlapping and the inability to accurately obtain the number of air particles is avoided, and the accuracy of air particle detection is further improved.

[0041] In one embodiment, in setting the sampling position, the sampling position is set in front of a display terminal in the city, and the display terminal can emit light. Specifically, in an urban environment, there are various display terminals in every corner of the city, such as display screens for advertising, and display screens for displaying bus stops, etc. A comprehensive analysis of the city's environment is performed, and the sampling position is set in front of the display terminal. The light emitted by the display terminal can provide a lighting environment for detecting air particles, that is, under the action of the light emitted by the display terminal, the air particles can be illuminated, and when the first image data or the second image data is acquired, the concentration of the air particles can be analyzed.

[0042] In one embodiment, the first processing procedure includes:

[0043] The display terminal is set to display a single color at a preset time point / preset time period. The display terminal can display photos or videos during normal operation. The first processing program is used to process the content displayed by the display terminal. The content displayed by the display terminal is determined by the source file. The content displayed by the display terminal can be processed by processing the source file. For example, the display terminal displays a promotional video. The video of the source file is composed of multiple frames of photos. The photos of the corresponding number of frames in the source file are set to a single color at a preset time point or a preset time period. Then, in the video output by the source file, it is displayed as a single color at a preset time point or a preset time period. Correspondingly, when the display terminal is at a non-preset time point or a non-preset time period, the display terminal normally displays the content required for actual work. For another example, the video or photo of the source file is set to a single color, and the display terminal is displayed as a single color at a preset time point or a preset time period. For another example, the display terminal is set to self-check at a preset time point or a preset time period. When the display terminal self-checks, the display terminal continuously flashes a single color, and the display terminal is displayed as a single color at a preset time point or a preset time period.

[0044] The first image data or the second image data is acquired at a preset time point / preset time period. Specifically, at a preset time point or a preset time period, the display terminal displays a single color, and the first image data or the second image data is acquired when the display terminal displays a single color. For example, when acquiring the first image data, the display terminal displays red, and when acquiring the second image data, the display terminal displays white. For another example, when acquiring the first image data, the display terminal displays green, and when acquiring the second image data, the display terminal displays yellow. By adjusting the color of the background, it is convenient to analyze the content of air particles in the first image data and the second image data.

[0045] In one of the embodiments, the method for obtaining the first image data or the second image data is: using a camera to shoot at a preset time point or within a preset time period. Specifically, when obtaining the first image data and the second image data, the display terminal is used as the background, and the entire color display area of ​​the display terminal can be photographed.

[0046] In one embodiment, the method of acquiring the first image data or the second image data includes:

[0047] A plurality of preset areas are set in the display terminal. Specifically, the color display area of ​​the display terminal is evenly divided into a plurality of preset areas, that is, the plurality of preset areas constitute a complete color display area of ​​the display terminal.

[0048] The images of multiple preset areas are collected within a preset time period, and the images of the multiple preset areas are spliced; the preset time period is the time for obtaining the first image data or obtaining the second image data. It can be understood that within the preset time period, the image information of the preset areas is collected multiple times, and the image information of one preset area is collected each time, and the collected image information of the multiple preset areas is spliced ​​to form a complete first image data or second image data. For example, multiple preset areas are arranged regularly on the display terminal. When collecting the image information of the multiple preset areas, the image information is collected according to the arrangement rules of the multiple preset areas on the display terminal, so as to facilitate the subsequent splicing of the image information of the multiple preset areas.

[0049] In one of the embodiments, the preset area of ​​the display terminal is set to change with the time of the preset time period. It can be understood that within the preset time period, each time point always has a preset area displayed on the display terminal, that is, the preset area changes in real time within the color display area of ​​the display terminal. Further, within the preset time period, the preset area changes within the color display area of ​​the display terminal as the time point changes. For example, the display terminal is evenly divided into ten preset areas, and the preset time period is ten seconds. Within the preset time period, there is always a preset area displayed on the display terminal every second, and the position of the preset area displayed every second on the display terminal is different, that is, after collecting images of ten preset areas within ten seconds, after splicing the images of the ten preset areas, a complete color display area of ​​the display terminal can be obtained.

[0050] The preset area of ​​the display terminal is displayed as a single color within a preset time period, ensuring that after the image information of multiple preset areas is spliced, the background color of the first image data or the second image data remains a single color, which is convenient for detecting air particles in the area illuminated by the display terminal. Furthermore, for example, the single color set in the preset area is white. By setting multiple preset areas, at a time point in the preset time period, only one preset area in the color display area of ​​the display terminal is white, and the remaining non-preset areas are displayed normally. By setting multiple preset areas, citizens' observation of the general content played on the display terminal will not be affected during the preset time period, thereby reducing the impact on citizens' normal lives.

[0051] In one embodiment, the preset time period is the time for acquiring the first image data or acquiring the second image data. It can be understood that within the preset time period, the image information of the preset area is acquired multiple times, and the image information of one preset area is acquired each time, and the acquired image information of multiple preset areas is spliced ​​to form a complete first image data or second image data.

[0052] In one embodiment, when acquiring the first image data or the second image data, the image acquisition speed of the preset area is adapted to the change speed of the multiple preset areas. Specifically, when acquiring the first image data or the second image data, the image information of the multiple preset areas acquired is spliced ​​to form a complete first image data or second image data, and the image acquisition speed of the preset area is adapted to the change speed of the multiple preset areas to ensure that the first image data or the second image data after splicing is sufficiently complete. For example, the display terminal is evenly divided into ten preset areas, and the preset time period is ten seconds. Within the preset time period, there is always a preset area displayed on the display terminal every second, and the position of the preset area displayed every second on the display terminal is different. Within the preset time, an image is acquired once every second. After acquiring images of the ten preset areas within ten seconds, and the acquired images of the preset areas are all different, a complete color display area of ​​the display terminal can be obtained by splicing the images of the ten preset areas.

[0053] In one of the embodiments, the sampling position is set to include a first light source and a second light source / natural light source, wherein the brightness of the first light source is adjusted according to the brightness of the second light source / natural light source. Specifically, the first light source is the light emitted by the display terminal, the second light source can be the light of a street lamp or other light emitted by a display terminal, and the natural light source is sunlight or moonlight, wherein a photosensitive element is provided on the display terminal, the photosensitive element can detect the light intensity of the second light source or the natural light source, and the intensity of the light emitted by the display terminal is adaptively adjusted according to the light intensity of the second light source or the natural light source, thereby ensuring that the light intensity of the air particles is stable when acquiring the first image data or the second image data, and reducing the influence of different light intensities on the detection of air particles.

[0054] In one of the embodiments, the air particle content is collected multiple times at the same time point to improve the accuracy of air particle detection.

[0055] In one embodiment, the time interval between obtaining the first image data and the second image data is less than a first preset value. Specifically, the first preset value is artificially set, for example, the time interval between obtaining the first image data and the second image data is less than one minute. Within one minute, the movement range of air particles at the sampling position is small, which facilitates the comparative analysis of air particles in the first image data and air particles in the second image data, thereby improving the accuracy of air particle detection at the sampling position.

[0056] An air pollutant detection system comprises at least a positioning module, a processing module, a first acquisition module, a second acquisition module and a judgment module.

[0057] The positioning module is used to set the sampling position; the processing module is used to execute a first processing program at the sampling position, and the first processing program is used to process the background of the sampling position as the first type or the second type; the first acquisition module is used to acquire the first image data at the sampling position when the background of the sampling position belongs to the first type; the second acquisition module is used to acquire the second image data at the sampling position when the background of the sampling position belongs to the second type; the judgment module is used to execute a judgment program on the first image data and the second image data, and the judgment program is used to judge the content of air particles at the sampling position; wherein the background colors of the first type and the second type are different.

[0058] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0059] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and 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-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present 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), magnetoresistive 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. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0060] The technical features of the above embodiments may 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.

[0061] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, 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 attached claims.

Claims

1. A method for detecting air pollutants, characterized in that: The following steps are involved: Set sampling position; Executing a first processing procedure at the sampling position, the first processing procedure processes the background of the sampling position into the first type or the second type; When the background at the sampling position belongs to the first type, acquiring first image data at the sampling position; When the background at the sampling position belongs to the second type, obtaining second image data at the sampling position; executing a judgment program on the first image data and the second image data, the judgment program being used to judge the content of air particles at the sampling position; The background colors of the first type and the second type are different.

2. The method for detecting air pollutants according to claim 1, characterized in that: In setting the sampling position, the sampling position is set in front of a display terminal in the city, and the display terminal can emit light.

3. The method for detecting air pollutants according to claim 1, characterized in that: The first processing procedure includes: Set the display terminal to display a single color at a preset time point / preset time period; The first image data or the second image data is acquired at a preset time point / in a preset time period.

4. The method for detecting air pollutants according to claim 1, characterized in that: The method of acquiring the first image data or the second image data includes: Setting a plurality of preset areas on the display terminal; Images of multiple preset areas are collected within a preset time period, and the images of the multiple preset areas are spliced.

5. The method for detecting air pollutants according to claim 4, characterized in that: The preset area of ​​the display terminal is set to change with the time of the preset time period; the preset area of ​​the display terminal is displayed as a single color during the preset time period.

6. The method for detecting air pollutants according to claim 5, characterized in that: The preset time period is the time for acquiring the first image data or acquiring the second image data.

7. The method for detecting air pollutants according to claim 5, characterized in that: When acquiring the first image data or the second image data, the image acquisition speed of the preset area is adapted to the change speed of the plurality of preset areas.

8. The method for detecting air pollutants according to claim 2, characterized in that: The sampling position is set to include a first light source and a second light source / natural light source, wherein the brightness of the first light source is adjusted according to the brightness of the second light source / natural light source.

9. The method for detecting air pollutants according to claim 1, characterized in that: The time interval between acquiring the first image data and acquiring the second image data is less than a first preset value.

10. An air pollutant detection system, characterized in that: At least: Positioning module, the positioning module is used to set the sampling position; A processing module, the processing module is used to execute a first processing program at the sampling position, the first processing program is used to process the background of the sampling position as the first type or the second type; A first acquisition module, the first acquisition module is used to acquire first image data at the sampling position when the background at the sampling position belongs to the first type; A second acquisition module, the second acquisition module is used to acquire second image data at the sampling position when the background at the sampling position belongs to the second type; A judgment module is used to execute a judgment program on the first image data and the second image data, and the judgment program is used to judge the content of air particles at the sampling position; wherein the background colors of the first type and the second type are different.