Method and system for monitoring volatile pollutants

Abstract

This invention provides a method for monitoring volatile pollutants, belonging to the field of pollutant monitoring. The method includes: dividing a monitoring area into grid cells; acquiring the pollutant concentration, wind speed, and wind direction within each grid cell; determining the pollutant concentration residence time based on the wind speed and wind direction; determining the grid weight concentration based on the pollutant concentration and the concentration residence time; dividing the grid into concentration intervals according to the magnitude of the grid weight concentration, with each interval corresponding to a different identifier; and displaying each grid cell with the identifier corresponding to its respective concentration interval. This method couples the monitored pollutant concentration with wind speed and wind direction to determine the grid weight concentration of each grid cell, divides the grid weight concentration into concentration intervals, and displays each grid cell with the identifier corresponding to its respective concentration interval. Through these identifiers, the dynamic change process of the grid cell concentration can be observed, and effective source tracing can be performed.

Description

Technical Field

[0001] This invention relates to the field of pollutant monitoring, and more specifically to a method and system for monitoring volatile pollutants. Background Technology

[0002] In its "Comprehensive Governance Plan for Volatile Organic Compounds in Key Industries," issued in June 2019, the Ministry of Ecology and Environment explicitly requires petrochemical and chemical industrial parks to establish monitoring and early warning systems, and where conditions permit, to conduct mobile monitoring, grid-based monitoring, and source tracing analysis. For petrochemical enterprises, improving environmental pollution prevention and control and effectively managing pollution emissions is urgent. However, due to the characteristics of petrochemical enterprises—densely packed equipment, numerous leakage sources, and high pollutant emission concentrations—heavily polluted areas often face problems such as unclear pollutant sources and cross-contamination. Furthermore, the lack of real-time monitoring data on-site makes it impossible to effectively trace the specific source of pollution, thus hindering effective governance and prevention.

[0003] Grid-based monitoring, as an emerging environmental monitoring and control method, primarily relies on intelligent sensors, big data platforms, "Internet+", and IoT technologies. It involves dividing the monitoring area into grids and deploying monitoring equipment within each grid to monitor pollution levels in real time. This efficient and intensive monitoring method provides reliable and accurate data for air pollution prevention and control, comprehensively improving monitoring quality. Implementing grid-based monitoring of volatile pollutants can effectively help enterprises monitor and provide early warnings of the entire process of gaseous pollution source emissions, achieving intelligent environmental quality monitoring. It is currently being applied in enterprise pollution emission management practices.

[0004] However, current applications of grid-based monitoring technology rely solely on changes in monitoring values ​​to reflect pollution conditions, lacking the means to leverage the advantages of grid-based monitoring for dynamic analysis of volatile pollutants, and thus underutilizing grid-based monitoring data. Summary of the Invention

[0005] The purpose of this invention is to provide a method for monitoring volatile pollutants. This method couples the monitored pollutant concentration with wind speed and wind direction to determine the grid weight concentration of a grid cell, divides the grid weight concentration into concentration intervals, and displays the grid cell with the identifier corresponding to its concentration interval. Through the identifier, the dynamic change process of the grid cell concentration can be observed and the source can be effectively traced.

[0006] To achieve the above objectives, embodiments of the present invention provide a method for monitoring volatile pollutants, comprising: dividing a monitoring area into grid cells; acquiring the pollutant concentration, wind speed, and wind direction within the grid cells; determining the pollutant concentration residence time based on the wind speed and wind direction; and determining the grid weight concentration based on the pollutant concentration and the concentration residence time, using the following calculation formula: Where i and j are the position numbers of the grid cells. The grid weight concentration is M, where M is the number of monitoring devices within the grid cell used to obtain the pollutant concentration and the wind speed and direction. The concentration of pollutants detected by the k-th monitoring device within the grid cell. For the k-th monitoring device within the grid cell, the corresponding The concentration residence time; the concentration intervals are divided according to the size of the grid weight concentration, and each concentration interval corresponds to a different identifier. The grid cell is displayed according to the identifier corresponding to its concentration interval.

[0007] Optionally, the pollutant concentration residence time is determined based on the wind speed and direction, including: the grid cell is a square grid cell with a side length of L, and the concentration residence time t k Calculate using the following formula:

[0008] Where x is the distance of the monitoring device from the eastern boundary of its grid cell, y is the distance of the monitoring device from the northern boundary of its grid cell, and θ is the wind direction angle. To correspond to the wind speed at the current time, For correction factor, Calculate using the following formula: Where n = 60 / number of minutes of the monitoring equipment analysis cycle, f is the cycle number of the calculation cycle, f starts with a value of 1, and f increases by 1 for each additional calculation cycle.

[0009] Optionally, it also includes: calculating the pollution contribution rate of the grid unit to the monitoring area within a preset time period, wherein the pollution contribution rate includes static pollution contribution rate and dynamic pollution contribution rate.

[0010] Optionally, it also includes: dividing the contribution rate intervals according to the magnitude of the pollution contribution rate, with each contribution rate interval corresponding to a different label, and displaying the grid cell according to the label corresponding to its respective contribution rate interval.

[0011] Optionally, the static pollution contribution rate of the grid cell to the monitoring area is calculated using the following formula: ,in, The contribution rate of the static pollution, The number of grid weight concentrations exceeding the warning threshold calculated for the grid cell within the preset time period. The number of all grid weight concentrations calculated for the grid cell within the preset time period.

[0012] Optionally, the dynamic pollution contribution rate of the grid cell to the monitoring area is calculated using the following formula: Where i and j are the position numbers of the grid cells. The contribution rate of the dynamic pollution, The grid weight concentration.

[0013] Optionally, the number of monitoring devices installed is determined based on the number of pollution sources within the grid unit, and the monitoring devices are installed downwind of the prevailing wind direction of the pollution source.

[0014] On the other hand, the present invention provides a volatile pollutant monitoring system, comprising: a monitoring device, a processor, and a display; wherein, the monitoring device is used to monitor pollutant concentration and wind speed and direction; the processor is used to: grid the monitoring area into grid cells; determine the pollutant concentration residence time based on the wind speed and direction; and determine the grid weight concentration based on the pollutant concentration and the concentration residence time, using the following calculation formula: Where i and j are the position numbers of the grid cells. The grid weight concentration is M, where M is the number of monitoring devices within the grid cell used to obtain the pollutant concentration and the wind speed and direction. The concentration of pollutants detected by the k-th monitoring device within the grid cell. For the k-th monitoring device within the grid cell, the corresponding The concentration residence time; the display is used to display the grid cell with the identifier corresponding to its concentration range.

[0015] Optionally, the processor is further configured to: calculate the pollution contribution rate of the grid cell to the monitoring area within a preset time period, wherein the pollution contribution rate includes a static pollution contribution rate and a dynamic pollution contribution rate.

[0016] Optionally, the processor is further configured to: divide the contribution rate intervals according to the magnitude of the pollution contribution rate, with each contribution rate interval corresponding to a different label; the display is further configured to: display the grid cell with the label corresponding to its respective contribution rate interval.

[0017] Optionally, the number of monitoring devices installed is determined based on the number of pollution sources within the grid unit, and the monitoring devices are installed downwind of the prevailing wind direction of the pollution source.

[0018] The above technical solution couples the monitored pollutant concentration with wind speed and direction to determine the grid weight concentration of the grid unit, divides the grid weight concentration into concentration ranges, and displays the grid unit with the corresponding identifier of its concentration range. Through the identifier, the dynamic change process of the grid unit concentration can be observed and the source can be effectively traced.

[0019] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0020] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings:

[0021] Figure 1 This is a flowchart of the volatile pollutant monitoring method provided in Example 1;

[0022] Figure 2 This is a schematic diagram of the monitoring area divided into grid units as provided in Example 1;

[0023] Figure 3 This is a schematic diagram of the grid cells used to calculate the concentration residence time provided in Example 2;

[0024] Figure 4 This is a structural diagram of the volatile pollutant monitoring system provided in Example 4. Detailed Implementation

[0025] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the scope of the present invention.

[0026] Current applications of grid-based monitoring technology rely solely on changes in monitoring values ​​to reflect pollution levels, lacking the means to leverage the advantages of grid-based monitoring for dynamic analysis of volatile pollutants, and thus underutilizing grid-based monitoring data.

[0027] In view of the above-mentioned deficiencies, the present invention provides a method and system for monitoring volatile pollutants. The method effectively utilizes grid-based monitoring technology for dynamic analysis and effective source tracing of pollutants. By intuitively displaying the pollution level of grid units in real time, it enables regulatory authorities to fulfill their local responsibilities and truly realize the concept of "grid-based monitoring and grid-based management." This helps enterprises to scientifically and effectively trace the source of volatile pollutants, improve their refined management level of pollution prevention and control, and enhance their emergency response capabilities for environmental risks. The specific implementation is achieved through the following embodiments.

[0028] Example 1

[0029] Figure 1 A method for monitoring volatile pollutants is shown, comprising S102-S110:

[0030] S102, the monitoring area is gridded into grid cells.

[0031] S104, obtain the pollutant concentration, wind speed, and wind direction within the grid cell.

[0032] S106, determine the residence time of pollutant concentration based on the wind speed and wind direction.

[0033] S108, determine the grid weight concentration based on the pollutant concentration and the concentration residence time.

[0034] S110, Divide the concentration range according to the size of the grid weight concentration, with each concentration range corresponding to a different identifier, and display the grid cell according to the identifier corresponding to its concentration range.

[0035] First, as described in S102, the monitoring area is divided into grid units. Taking a petrochemical plant area as an example, the petrochemical plant area is divided into square grids. Of course, it can also be divided into grids of other shapes. The length of each grid unit can be set to 200 meters. Figure 2 The diagram shows the grid cells after dividing the petrochemical plant area into grids. To facilitate subsequent calculations and differentiation, the divided grid cells are labeled. For example, grid cells ordered from south to north can be denoted as i, and grid cells ordered from west to east can be denoted as j. For instance, if a grid cell is the second grid cell from south to north and the third grid cell from west to east, then i=2, j=3, and this grid cell is denoted as (2, 3).

[0036] Before implementing S104, monitoring equipment needs to be deployed in the monitoring area to acquire pollutant and meteorological data. This equipment can be a high-sensitivity online VOCs (Volatile Organic Compounds) monitoring device, measuring TVOCs (Total Volatile Organic Compounds) and five meteorological parameters (temperature, air pressure, humidity, wind direction, and wind speed). The monitoring equipment can be installed downwind of the production unit's prevailing wind direction. The number of devices installed depends on the number of pollution sources within the grid unit. For example, for grid units without production units, few or no monitoring devices may be installed, while for grid units with production units, at least one monitoring device must be installed. The installed high-sensitivity monitoring equipment uses the PID (Proportion Integral Differential) principle to measure TVOCs, with a detection limit ≤10ppb, response time ≤30s, and analysis cycle ≤5min. The analysis cycle refers to the period during which the monitoring equipment obtains measurement data. Compared with traditional equipment, this monitoring equipment has the advantages of being fast, accurate, and easy to install. Taking grid cell (1,1) as an example, one monitoring device is installed in this grid cell. The installation location is shown in [reference needed]. Figure 2 As shown in the middle triangle.

[0037] Then S104 can be executed. The period during which the processor obtains pollutant concentration, wind speed, and wind direction data from the monitoring equipment for calculation is called the calculation period. It must meet the requirement that the analysis period of the monitoring equipment is greater than or equal to the calculation period and is an integer multiple of the calculation period. If the calculation period is set to 5 minutes, it means that the processor obtains a set of pollutant concentration, wind speed, and wind direction data every 5 minutes for calculation.

[0038] S106, Determine the residence time t of pollutant concentration based on the wind speed and wind direction. k .

[0039] S108, based on the pollutant concentration and the concentration residence time t k Determine the grid weight concentration.

[0040] The grid weight concentration is calculated using formula (1):

[0041] ...Formula (1),

[0042] Where i and j are the position numbers of the grid cells. Let be the grid weight concentration of grid cell (i, j), and M be the number of monitoring devices within grid cell (i, j) used to acquire pollutant and meteorological data. The concentration of pollutants detected by the k-th monitoring device within the grid cell (i, j) is... For the k-th monitoring device within the grid cell (i, j), The concentration residence time. In such Figure 2 In the grid cell (1,1) shown, M=1, k=1.

[0043] After calculating the grid weight concentration, step S110 can be executed: The concentration ranges are divided according to the grid weight concentration, with each range corresponding to a different identifier. The grid unit is then displayed according to the identifier corresponding to its respective concentration range. For example, based on the grid weight concentration values, four concentration ranges are divided: 1-20, 20-40, 40-80, and ≥80. The pollution levels correspond to: excellent, good, lightly polluted, and heavily polluted, respectively, and are respectively identified by dark green, light green, yellow, and red color identifiers. Each grid unit is then displayed according to the color identifier corresponding to its respective concentration range, thus achieving a visual display of the pollution level of all grid units in the plant area. The display results dynamically change with the calculation cycle of the grid weight concentration. If the calculation cycle is set to 5 minutes, and the display change cycle is also set to 5 minutes, then the color identifier corresponding to each grid unit changes every 5 minutes based on the calculated grid weight concentration. This allows observation of the dynamic changes in the pollution level of the grid units and effective source tracing, thereby intuitively identifying key pollution areas, implementing local responsibility, and fundamentally achieving the function of "grid-based monitoring and grid-based management."

[0044] Example 1 determines the grid weight concentration of a grid cell by coupling the monitored pollutant concentration with wind speed and wind direction, divides the grid weight concentration into concentration ranges, and displays the grid cell with the corresponding identifier of its concentration range. Through the identifier, the dynamic change process of the grid cell concentration can be observed and the source can be effectively traced.

[0045] Example 2

[0046] The concentration residence time t of S106 in Example 1 k The following methods can be used for calculation:

[0047] Figure 3 An example of a grid cell is shown, where circular markers within the grid cell represent the installation locations of monitoring devices. Let the side length of the square grid cell be L, the distance of the monitoring device from the eastern boundary of its grid cell be x, the distance from the monitoring device to the northern boundary of its grid cell be y, θ be the wind direction angle, and t be the concentration residence time. k Formula (2) can be used for calculation:

[0048]

[0049] in, To correspond to the wind speed at the current time, For correction factor, Calculate using formula (3):

[0050]

[0051] Where f is the period number of the calculation cycle, defined as follows: f starts with a value of 1. Taking the time period from 12:00 to 13:00 on a certain day as an example, 12:00 corresponds to f=1. Each additional calculation cycle increments f by 1, and in the nth calculation cycle, f=n. If the calculation cycle is set to 5 minutes and ends at 13:00, there are a total of 12 calculation cycles. The concentration residence time t of the k-th (1≤k≤M) monitoring device in the (i,j) grid at each time point is calculated at 12:00 (f=1), 12:05 (f=2), 12:10 (f=3), ..., 12:55 (f=12). k The definition of n is: n = 60 / monitoring equipment analysis cycle (the unit of the monitoring equipment analysis cycle is min). In this embodiment, the monitoring equipment analysis cycle is set to 5 min, then n = 12. Of course, the monitoring equipment analysis cycle and the calculation cycle can be different (the monitoring equipment analysis cycle must be greater than or equal to the calculation cycle, and the monitoring equipment analysis cycle must be an integer multiple of the calculation cycle). If the monitoring equipment analysis cycle is set to 10 min, then n = 6, and the calculation cycle is set to 5 min. Then, the time period from 12:00 to 13:00 contains 12 calculation cycles, and the concentration residence time t needs to be calculated at 12 times: 12:00 (f=1), 12:10 (f=2), 12:20 (f=3), ..., 12:55 (f=12). k When 1≤f≤6, the correction factor is calculated using formula (3-1). When f>6, the correction factor is calculated using formula (3-2). .

[0052] In this embodiment, the concentration residence time t k Determined by wind speed and direction, when calculating the grid weight concentration, the monitored pollutant concentration is coupled with wind speed and direction to transform the pollutant concentration into a continuous pollution trajectory. The grid weight concentration calculated accordingly can reflect the dynamic change process of pollutants.

[0053] Example 3

[0054] Based on the above embodiments, the method for monitoring volatile pollutants further includes:

[0055] S112, Calculate the pollution contribution rate of the grid unit to the monitoring area within a preset time period.

[0056] S114, Divide the contribution rate intervals according to the magnitude of the pollution contribution rate, with each contribution rate interval corresponding to a different label, and display the grid cell according to the label corresponding to its contribution rate interval.

[0057] The pollution contribution rate may include static pollution contribution rate and dynamic pollution contribution rate. The static pollution contribution rate is applicable to the assessment of the pollution level of grid cells with a query unit of more than one day, such as a week or a month, while the dynamic pollution contribution rate is applicable to the assessment of the pollution level of grid cells with a query unit of less than one day.

[0058] The static pollution contribution rate can be calculated using formula (4):

[0059] ...Formula (4)

[0060] Where i and j are the position numbers of the grid cells. The static pollution contribution rate of grid cell (i, j) This represents the number of grid weight concentrations exceeding the warning threshold calculated for grid cell (i, j) within a preset time period. This represents the total number of grid weight concentrations calculated for grid cell (i, j) within a preset time period. The larger the value, the greater the contribution of the grid cell (i, j) to the pollution of the entire plant area.

[0061] For example, in grid cell (i, j), if the preset time period is one week, and 168 sets of grid weight concentrations are obtained within one week, then G ij The value is 168. The number of grid weight concentrations ≥ the warning threshold is 14 groups. Therefore, E... ij Given a value of 14, calculate PC. ij =0.08 indicates that the pollution level of this grid cell is average over a week.

[0062] Similarly, the PC of each grid cell is calculated according to the above formula. ij Value, and based on PC ij The contribution rate is divided into ranges based on the value, for example, into four ranges: 0-0.1, 0.1-0.2, 0.2-0.4, and ≥0.4. The static pollution contribution rate corresponds to slight, low, moderate, and high, respectively, and is indicated by dark green, light green, yellow, and red colors. Each grid cell is displayed in the "Static Pollution Contribution Rate" window with the color of its corresponding contribution rate range, thereby visually displaying the degree of pollution contribution of the grid cell to the entire plant area over a long period of time.

[0063] The dynamic pollution contribution rate can be utilized using the grid weight concentration in S106. For calculation, please refer to formula (5):

[0064] ...Formula (5)

[0065] Where i and j are the position numbers of the grid cells. Let (i, j) be the dynamic pollution contribution rate of grid cell (i, j) to the entire plant area. Let be the grid weight concentration of grid cell (i, j).

[0066] Similarly, after calculating the dynamic pollution contribution rate, the contribution rate intervals are divided according to the magnitude of the dynamic pollution contribution rate. Each contribution rate interval corresponds to a different label. The grid cell is displayed in the "Dynamic Pollution Contribution Rate" window with the label corresponding to its contribution rate interval. This enables a visual display of the degree of pollution contribution of the grid cell to the entire plant area in a short period of time.

[0067] Example 4

[0068] Example 4 provides a volatile pollutant monitoring system, such as Figure 4 As shown, it includes: monitoring equipment, processor, and display.

[0069] The monitoring equipment is used to monitor pollutant concentration, wind speed, and wind direction; the processor is used to: divide the monitoring area into grid cells; determine the pollutant concentration residence time based on the wind speed and wind direction; and determine the grid weight concentration based on the pollutant concentration and the concentration residence time, using the following calculation formula: Where i and j are the position numbers of the grid cells. The grid weight concentration is M, where M is the number of monitoring devices within the grid cell used to obtain the pollutant concentration and the wind speed and direction. The concentration of pollutants detected by the k-th monitoring device within the grid cell. For the k-th monitoring device within the grid cell, the corresponding The concentration residence time; the concentration intervals are divided according to the size of the grid weight concentration, and each concentration interval corresponds to a different identifier; the display is used to display the grid cell with the identifier corresponding to its concentration interval.

[0070] Optionally, in this embodiment of the invention, the processor is further configured to: calculate the pollution contribution rate of the grid cell to the monitoring area within a preset time period, wherein the pollution contribution rate includes a static pollution contribution rate and a dynamic pollution contribution rate.

[0071] Optionally, in this embodiment of the invention, the processor is further configured to: divide the contribution rate intervals according to the magnitude of the pollution contribution rate, with each contribution rate interval corresponding to a different label; the display is further configured to: display the grid cell with the label corresponding to its respective contribution rate interval.

[0072] Optionally, in this embodiment of the invention, the number of monitoring devices installed is determined according to the number of pollution sources within the grid unit, and the monitoring devices are installed downwind of the prevailing wind direction of the pollution source.

[0073] Other method embodiments and beneficial effects executed by the monitoring device and the processor are described in Embodiments 1, 2 and 3 above, and will not be repeated in Embodiment 4.

[0074] This invention also provides a storage medium storing a program that, when executed by a processor, implements a method for monitoring volatile pollutants.

[0075] It should be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0076] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for monitoring volatile pollutants, characterized in that, include: The monitoring area is divided into grid cells; Obtain the pollutant concentration, wind speed, and wind direction within the grid cell; The residence time of pollutant concentration is determined based on the wind speed and direction. The grid weight concentration is determined based on the pollutant concentration and the concentration residence time, using the following formula: ， Where i and j are the position numbers of the grid cells. The grid weight concentration is M, where M is the number of monitoring devices within the grid cell used to obtain the pollutant concentration and the wind speed and direction. The concentration of pollutants detected by the k-th monitoring device within the grid cell. For the k-th monitoring device within the grid cell, the corresponding The concentration residence time; The concentration range is divided according to the magnitude of the grid weight concentration, and each concentration range corresponds to a different identifier. The grid cell is then displayed according to the identifier corresponding to its concentration range. The residence time of pollutant concentration is determined based on the wind speed and direction, including: The grid cell is a square grid cell with a side length of L, and the concentration residence time t is... k Calculate using the following formula: ， Where x is the distance of the monitoring device from the eastern boundary of its grid cell, y is the distance of the monitoring device from the northern boundary of its grid cell, and θ is the wind direction angle. To correspond to the wind speed at the current time, This is a correction factor.

2. The method for monitoring volatile pollutants according to claim 1, characterized in that, The correction coefficient Calculate using the following formula: ， Where n = 60 / number of minutes of the monitoring equipment analysis cycle, f is the cycle number of the calculation cycle, f starts with a value of 1, and f increases by 1 for each additional calculation cycle.

3. The method for monitoring volatile pollutants according to claim 1, characterized in that, Also includes: Calculate the pollution contribution rate of the grid cell to the monitoring area within a preset time period. The pollution contribution rate includes the static pollution contribution rate and the dynamic pollution contribution rate.

4. The method for monitoring volatile pollutants according to claim 3, characterized in that, Also includes: The contribution rate is divided into intervals based on the magnitude of the pollution contribution rate, and each interval corresponds to a different label. The grid cell is then displayed according to the label corresponding to its respective contribution rate interval.

5. The method for monitoring volatile pollutants according to claim 3, characterized in that, The static pollution contribution rate of the grid cell to the monitoring area is calculated using the following formula: ， Where i and j are the position numbers of the grid cells. The contribution rate of the static pollution, The number of grid weight concentrations exceeding the warning threshold calculated for the grid cell within the preset time period. The number of all grid weight concentrations calculated for the grid cell within the preset time period.

6. The method for monitoring volatile pollutants according to claim 3, characterized in that, The dynamic pollution contribution rate of the grid cell to the monitoring area is calculated using the following formula: ， Where i and j are the position numbers of the grid cells. The contribution rate of the dynamic pollution, The grid weight concentration.

7. The method for monitoring volatile pollutants according to claim 1, characterized in that, The number of monitoring devices installed is determined based on the number of pollution sources within the grid unit, and the monitoring devices are installed downwind of the prevailing wind direction of the pollution source.

8. A volatile pollutant monitoring system, characterized in that, include: Monitoring equipment, processors, and displays; The monitoring equipment is used to monitor pollutant concentration, wind speed, and wind direction. The processor is used to: grid the monitoring area into grid cells; The residence time of pollutant concentration is determined based on the wind speed and direction. The grid weight concentration is determined based on the pollutant concentration and the concentration residence time, using the following formula: ， Where i and j are the position numbers of the grid cells. The grid weight concentration is M, where M is the number of monitoring devices within the grid cell used to obtain the pollutant concentration and the wind speed and direction. The concentration of pollutants detected by the k-th monitoring device within the grid cell. For the k-th monitoring device within the grid cell, the corresponding The concentration residence time; The concentration intervals are divided according to the magnitude of the grid weight concentration, and each concentration interval corresponds to a different identifier; The display is used to show the grid cells with the identifiers corresponding to their respective concentration ranges; The residence time of pollutant concentration is determined based on the wind speed and direction, including: The grid cell is a square grid cell with a side length of L, and the concentration residence time t is... k Calculate using the following formula: ， Where x is the distance of the monitoring device from the eastern boundary of its grid cell, y is the distance of the monitoring device from the northern boundary of its grid cell, and θ is the wind direction angle. To correspond to the wind speed at the current time, This is a correction factor.

9. The volatile pollutant monitoring system according to claim 8, characterized in that, The processor is also used for: Calculate the pollution contribution rate of the grid cell to the monitoring area within a preset time period. The pollution contribution rate includes the static pollution contribution rate and the dynamic pollution contribution rate.

10. The volatile pollutant monitoring system according to claim 9, characterized in that, The processor is also used for: The contribution rate intervals are divided according to the magnitude of the pollution contribution rate, and each contribution rate interval corresponds to a different label. The display is also used to: display the grid cell with the marker corresponding to its contribution rate interval.

11. The volatile pollutant monitoring system according to claim 8, characterized in that, The number of monitoring devices installed is determined based on the number of pollution sources within the grid unit, and the monitoring devices are installed downwind of the prevailing wind direction of the pollution source.

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