Volatile organic compound concentration monitoring method and system

Abstract

The invention relates to the technical field of volatile organic compound monitoring, in particular to a volatile organic compound concentration monitoring method and system.The volatile organic compound concentration monitoring method comprises the steps that the concentration of volatile organic compounds is monitored through a fixed monitoring station set, and a fixed monitoring concentration set is obtained; identifying a target vertical bisection distance sequence according to the historical concentration distribution curved surface set, identifying a vertical bisection point sequence and a vertical bisection coordinate sequence in a unit grid region according to the target vertical bisection distance sequence, calculating mobile monitoring coordinates according to the vertical bisection coordinate sequence, and obtaining a mobile monitoring coordinate set; and carrying out mobile station monitoring according to the mobile monitoring coordinate set to obtain a mobile monitoring concentration set, and carrying out organic matter concentration fitting according to the fixed monitoring concentration set and the mobile monitoring concentration set to obtain a target concentration curve diagram. The monitoring precision of the concentration of the volatile organic compounds in the atmosphere can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of volatile organic compound monitoring, and in particular to a volatile organic compound concentration monitoring method and system. Background Art

[0002] Volatile organic compounds (VOCs), as an important type of air pollutant, have attracted much attention due to their hazards to human health and the ecological environment. It is particularly important to accurately and efficiently monitor the concentration of VOCs in the atmosphere.

[0003] In practical applications, due to the uneven distribution and spatiotemporal variability of VOCs concentration in the atmosphere, the data from a single monitoring point is often difficult to fully reflect the pollution status of the entire monitoring area. Currently, the concentration of atmospheric volatile organic compounds in the monitoring area is mainly monitored using multiple evenly distributed fixed monitoring stations, but the location of the monitoring stations in this monitoring method cannot adapt to the changes in the concentration of atmospheric volatile organic compounds at various locations in the monitoring area, resulting in the problem of low monitoring accuracy in the current atmospheric volatile organic compound concentration monitoring. Summary of the invention

[0004] The present invention provides a volatile organic compound concentration monitoring method and system, the main purpose of which is to improve the monitoring accuracy of atmospheric volatile organic compound concentration.

[0005] To achieve the above-mentioned purpose, the present invention provides a method for monitoring the concentration of volatile organic compounds, comprising: obtaining a monitoring area, dividing the monitoring area into grids according to a preset site monitoring spacing to obtain a unit grid area set, and extracting unit grid areas in the unit grid area set in sequence; identifying a grid vertex set of the unit grid area, arranging fixed monitoring sites according to the grid vertex set, and obtaining multiple groups of fixed monitoring site sets, wherein the number of fixed monitoring sites in each group of fixed monitoring site sets is 4; monitoring the concentration of volatile organic compounds using the fixed monitoring site sets to obtain a fixed monitoring concentration set; obtaining a historical concentration distribution surface set of the unit grid area, identifying a target perpendicular bisector distance sequence according to the historical concentration distribution surface set; identifying a perpendicular bisector point sequence in the unit grid area according to the target perpendicular bisector distance sequence, wherein the number of perpendicular bisector points in the perpendicular bisector point sequence is 4; identifying a perpendicular bisector coordinate sequence of the perpendicular bisector point sequence, and calculating a mobile monitoring coordinate using a pre-constructed central coordinate formula according to the perpendicular bisector coordinate sequence, wherein the central coordinate formula is as follows: ,in, Represents the horizontal coordinate value of the mobile monitoring coordinate of the i-th unit grid area, Represents the ordinate value of the mobile monitoring coordinate of the i-th unit grid area, represents the horizontal coordinate value of the perpendicular bisector point a, represents the ordinate value of the perpendicular bisector point a, represents the horizontal coordinate value of the perpendicular bisector point b, represents the ordinate value of the perpendicular bisector point b, represents the horizontal coordinate value of the perpendicular bisector point c, represents the ordinate value of the perpendicular bisector point c, represents the horizontal coordinate value of the perpendicular bisector point d, Represents the ordinate value of the perpendicular bisector point d; collects the mobile monitoring coordinates of all unit grid areas to obtain a mobile monitoring coordinate set; performs mobile site monitoring on the monitoring area according to the mobile monitoring coordinate set to obtain a mobile monitoring concentration set; performs organic matter concentration fitting on the monitoring area according to the fixed monitoring concentration set and the mobile monitoring concentration set to obtain a target concentration surface map.

[0006] Optionally, the monitoring area is gridded according to a preset site monitoring spacing to obtain a unit grid area set, including: constructing a site monitoring network according to the site monitoring spacing, wherein the unit grid in the site monitoring network is a square, and the side length of the unit grid is equal to the site monitoring spacing; dividing the monitoring area into regions according to the site monitoring network to obtain initial grid regions; performing complete coverage grid identification and partial coverage grid identification on the initial grid region to obtain a complete area coverage unit grid set and a partial area coverage unit grid set, wherein the complete area coverage unit grid set refers to unit grids whose entire area is covered by the monitoring area, and the partial area coverage unit grid set refers to unit grids whose partial area is covered by the monitoring area; and forming the unit grid area set according to the complete area coverage unit grid set and the partial area coverage unit grid set.

[0007] Optionally, the identifying a target perpendicular bisector distance sequence according to the historical concentration distribution surface set includes: extracting historical concentration distribution surfaces in sequence from the historical concentration distribution surface set, wherein the historical concentration distribution surface is a real-time concentration distribution surface of volatile organic compounds in a past unit grid area; obtaining a perpendicular bisector distance sequence, and sequentially extracting perpendicular bisector distances from the perpendicular bisector distance sequence, wherein the value range of the perpendicular bisector distance sequence is 1 / 2 of the length of the unit grid edge; sequentially selecting unit grid edges in the unit grid area; and selecting a target perpendicular bisector distance sequence in sequence according to the unit grid edges and the perpendicular bisector distances in the historical concentration distribution. Identify historical concentration surface points on the surface; identify historical adjacent edge surface point pairs of the unit grid edge in the historical concentration distribution surface; connect the historical concentration surface points and the historical adjacent edge surface point pairs in sequence to obtain a historical space triangular plane; perform surface projection interception on the historical concentration distribution surface according to the historical space triangular plane to obtain a historical space triangular surface; calculate the area difference between the historical space triangular plane and the historical space triangular surface to obtain an area difference set of the perpendicular bisector distance; calculate the average area difference according to the area difference set, and summarize the average area difference corresponding to each perpendicular bisector distance. value, and obtain an average area difference value set; summarize the average area difference value sets of each unit grid edge to obtain an average area difference value set group, wherein the number of groups of the average area difference value set group is 4; identify the number of unit grid edges in the unit grid area, and determine a vertical bisector distance sequence group according to the vertical bisector distance sequence and the number of unit grid edges, wherein the number of vertical bisector distance sequences in the vertical bisector distance sequence group is equal to the number of unit grid edges; arrange and combine the vertical bisector distance sequence group to obtain multiple groups of vertical bisector distance sequences; extract vertical bisector distance sequences in the multiple groups of vertical bisector distance sequences in turn, and select the vertical bisector distance sequences according to the vertical bisector distance sequence group. The perpendicular bisector distance sequence identifies a target area score difference value group in the average area score difference value set group; determines a quadrilateral inside a region according to the perpendicular bisector distance sequence and the unit grid region; obtains the area score difference value inside the region of the quadrilateral inside the region, and calculates a comprehensive area score difference value of the perpendicular bisector distance sequence according to the area score difference value inside the region and the target area score difference group; collects the comprehensive area score difference values ​​of each perpendicular bisector distance sequence to obtain a comprehensive area score difference value set; identifies a maximum area score difference value in the comprehensive area score difference value set, and identifies a target perpendicular bisector distance sequence corresponding to the maximum area score difference value.

[0008] Optionally, the permuting and combining the perpendicular bisect distance sequence groups to obtain multiple groups of perpendicular bisect distance sequences includes: sequence numbering the perpendicular bisect distance sequences in the perpendicular bisect distance sequence groups to obtain a first perpendicular bisect distance sequence, a second perpendicular bisect distance sequence, a third perpendicular bisect distance sequence, and a fourth perpendicular bisect distance sequence; permuting and combining the first perpendicular bisect distance, the second perpendicular bisect distance, the third perpendicular bisect distance, and the fourth perpendicular bisect distance in the first perpendicular bisect distance sequence, the second perpendicular bisect distance sequence, the third perpendicular bisect distance sequence, and the fourth perpendicular bisect distance to obtain multiple groups of perpendicular bisect distance sequences.

[0009] Optionally, determining the quadrilateral inside the region according to the perpendicular bisector distance sequence and the unit grid region comprises: extracting perpendicular bisector distances in sequence in the perpendicular bisector distance sequence, identifying a target unit grid edge corresponding to the perpendicular bisector distance; drawing an inner perpendicular bisector on the target unit grid edge according to the perpendicular bisector distance, identifying a perpendicular bisector endpoint of the inner perpendicular bisector, and obtaining a perpendicular bisector endpoint set; and connecting the perpendicular bisector endpoint set in sequence to obtain the quadrilateral inside the region.

[0010] Optionally, obtaining the area score difference of the quadrilateral inside the region includes: identifying a historical quadrilateral point group of the quadrilateral inside the region in the historical concentration distribution surface; connecting the historical quadrilateral points in the historical quadrilateral point group in sequence to obtain a historical space quadrilateral plane; performing surface projection interception on the historical concentration distribution surface according to the quadrilateral inside the region to obtain a historical space quadrilateral surface; calculating the area score difference between the historical space quadrilateral plane and the historical space quadrilateral surface to obtain the area score difference inside the region.

[0011] Optionally, the calculating the comprehensive area score difference of the perpendicular bisect distance sequence according to the area score difference within the region and the target area score difference group comprises: using a pre-constructed comprehensive area score difference formula to calculate the comprehensive area score difference of the perpendicular bisect distance sequence according to the area score difference within the region and the target area score difference group, wherein the comprehensive area score difference formula is as follows: ,in, represents the comprehensive area integral difference corresponding to the jth perpendicular bisector distance sequence of the i-th unit grid area, It represents the internal area difference of the region corresponding to the jth perpendicular bisector distance sequence of the i-th unit grid area. Represents the pth target area score difference in the target area score difference group corresponding to the jth perpendicular bisector distance sequence of the i-th unit grid area.

[0012] Optionally, identifying a perpendicular bisector point sequence in the unit grid area according to the target perpendicular bisector distance sequence includes: extracting target perpendicular bisector distances in sequence in the target perpendicular bisector distance sequence, identifying associated unit grid edges corresponding to the target perpendicular bisector distances; determining a target perpendicular bisector endpoint according to the target perpendicular bisector distances and the associated unit grid edges, to obtain a perpendicular bisector point sequence.

[0013] Optionally, the organic matter concentration of the monitoring area is fitted according to the fixed monitoring concentration set and the mobile monitoring concentration set to obtain a target concentration surface map, including: extracting fixed monitoring concentrations in the fixed monitoring concentration set in turn, and identifying associated fixed monitoring sites corresponding to the fixed monitoring concentrations; determining fixed three-dimensional coordinate points according to the associated fixed monitoring sites and the fixed monitoring concentrations to obtain a fixed three-dimensional coordinate point set; extracting mobile monitoring concentrations in the mobile monitoring concentration set in turn, and identifying associated mobile monitoring sites corresponding to the mobile monitoring concentrations; determining mobile three-dimensional coordinate points according to the associated mobile monitoring sites and the mobile monitoring concentrations to obtain a mobile three-dimensional coordinate point set; performing surface fitting on the fixed three-dimensional coordinate point set and the mobile three-dimensional coordinate point set to obtain a target concentration surface map.

[0014] To achieve the above-mentioned purpose, the present invention also provides a volatile organic compound concentration monitoring system, comprising: a fixed monitoring concentration set monitoring module, used to obtain a monitoring area, grid the monitoring area according to a preset site monitoring spacing, obtain a unit grid area set, and sequentially extract unit grid areas from the unit grid area set; identify a grid vertex set of the unit grid area, arrange fixed monitoring sites according to the grid vertex set, and obtain multiple groups of fixed monitoring site sets, wherein the number of fixed monitoring sites in each group of fixed monitoring site sets is 4; monitor the volatile organic compound concentration using the fixed monitoring site set to obtain a fixed monitoring concentration set; a mobile monitoring coordinate set calculation module, used to obtain a historical concentration distribution surface set of the unit grid area, identify a target perpendicular bisector distance sequence according to the historical concentration distribution surface set; identify a perpendicular bisector point sequence in the unit grid area according to the target perpendicular bisector distance sequence, wherein the number of perpendicular bisector points in the perpendicular bisector point sequence is 4; identify a perpendicular bisector coordinate sequence of the perpendicular bisector point sequence, and calculate the mobile monitoring coordinate using a pre-constructed central coordinate formula according to the perpendicular bisector coordinate sequence, wherein the central coordinate formula is as follows: ,in, Represents the horizontal coordinate value of the mobile monitoring coordinate of the i-th unit grid area, Represents the ordinate value of the mobile monitoring coordinate of the i-th unit grid area, represents the horizontal coordinate value of the perpendicular bisector point a, represents the ordinate value of the perpendicular bisector point a, represents the horizontal coordinate value of the perpendicular bisector point b, represents the ordinate value of the perpendicular bisector point b, represents the horizontal coordinate value of the perpendicular bisector point c, represents the ordinate value of the perpendicular bisector point c, represents the horizontal coordinate value of the perpendicular bisector point d, The vertical coordinate value of the perpendicular bisector point d is represented; the mobile monitoring coordinates of all unit grid areas are collected to obtain a mobile monitoring coordinate set; a mobile monitoring concentration set monitoring module is used to perform mobile site monitoring on the monitoring area according to the mobile monitoring coordinate set to obtain a mobile monitoring concentration set; an organic matter concentration fitting module is used to perform organic matter concentration fitting on the monitoring area according to the fixed monitoring concentration set and the mobile monitoring concentration set to obtain a target concentration surface map.

[0015] In order to solve the above problem, the present invention further provides an electronic device, which includes: a memory storing at least one instruction; and a processor executing the instruction stored in the memory to implement the above-mentioned volatile organic compound concentration monitoring method.

[0016] In order to solve the above problem, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned volatile organic compound concentration monitoring method.

[0017] In order to solve the problem described in the background technology, the present invention divides the volatile organic compound concentration monitoring into two parts, the first part is the fixed monitoring site monitoring part, and the second part is the mobile monitoring site monitoring part. In the first part, it is necessary to first obtain the monitoring area, and then the monitoring area is grid-divided according to the preset site monitoring spacing to obtain a unit grid area set. In order to analyze each unit grid area in the unit grid area set, it is necessary to extract the unit grid areas in the unit grid area set in turn, and then identify the grid vertex set of the unit grid area, so that fixed monitoring sites can be arranged according to the grid vertex set to obtain multiple groups of fixed monitoring site sets. At this time, the fixed monitoring site set can be used to monitor the volatile organic compound concentration to obtain a fixed monitoring concentration set. In the second part, since the mobile monitoring site is not a fixed position, it is necessary to first calculate the mobile monitoring coordinate set. When calculating the mobile monitoring coordinate set, When marking the set, since it is necessary to determine the mobile monitoring coordinates based on the historical concentration distribution surface set, it is necessary to first obtain the historical concentration distribution surface set of the unit grid area, and identify the target perpendicular bisector distance sequence based on the historical concentration distribution surface set, and finally identify the perpendicular bisector point sequence in the unit grid area based on the target perpendicular bisector distance sequence. After obtaining the perpendicular bisector point sequence, the perpendicular bisector coordinate sequence of the perpendicular bisector point sequence can be identified, and then the mobile monitoring coordinates can be calculated using the pre-constructed central coordinate formula based on the perpendicular bisector coordinate sequence, and then the mobile monitoring coordinates of all unit grid areas can be collected to obtain the mobile monitoring coordinate set. At this time, the monitoring area can be mobile site monitored according to the mobile monitoring coordinate set to obtain the mobile monitoring concentration set, and finally the monitoring area can be directly fitted with the organic matter concentration according to the fixed monitoring concentration set and the mobile monitoring concentration set to obtain the target concentration surface map. Therefore, the present invention can improve the monitoring accuracy of the atmospheric volatile organic compound concentration. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A schematic diagram of a flow chart of a method for monitoring volatile organic compound concentration provided by an embodiment of the present invention; Figure 2 A schematic diagram of a unit grid area provided by an embodiment of the present invention; Figure 3 A functional module diagram of a volatile organic compound concentration monitoring system provided by an embodiment of the present invention; Figure 4 A schematic diagram of the structure of an electronic device for implementing the volatile organic compound concentration monitoring method provided by an embodiment of the present invention.

[0019] Explanation of the reference numerals: 1. electronic device; 10. processor; 11. memory; 12. bus.

[0020] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0021] 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.

[0022] The embodiment of the present application provides a method for monitoring the concentration of volatile organic compounds. The execution subject of the method for monitoring the concentration of volatile organic compounds includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the method for monitoring the concentration of volatile organic compounds can be executed by software or hardware installed in a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0023] Reference Figure 1 FIG. 1 is a flow chart of a method for monitoring the concentration of volatile organic compounds according to an embodiment of the present invention. In this embodiment, the method for monitoring the concentration of volatile organic compounds includes: S1, obtaining a monitoring area, dividing the monitoring area into grids according to a preset site monitoring interval, obtaining a unit grid area set, and sequentially extracting unit grid areas from the unit grid area set.

[0024] It can be explained that the monitoring area refers to the area where volatile organic compound monitoring is required. The site monitoring spacing refers to the distance between adjacent fixed monitoring sites in the monitoring area. The unit grid area set refers to the set of multiple unit grid areas obtained after the monitoring area is gridded. The fixed monitoring site refers to a monitoring site with a fixed monitoring position.

[0025] In an embodiment of the present invention, the monitoring area is gridded according to a preset site monitoring spacing to obtain a unit grid area set, including: constructing a site monitoring network according to the site monitoring spacing, wherein the unit grid in the site monitoring network is a square, and the side length of the unit grid is equal to the site monitoring spacing; dividing the monitoring area into regions according to the site monitoring network to obtain initial grid regions; performing complete coverage grid identification and partial coverage grid identification on the initial grid region to obtain a complete area coverage unit grid set and a partial area coverage unit grid set, wherein the complete area coverage unit grid set refers to unit grids whose entire area is covered by the monitoring area, and the partial area coverage unit grid set refers to unit grids whose partial area is covered by the monitoring area; and forming the unit grid area set according to the complete area coverage unit grid set and the partial area coverage unit grid set.

[0026] It is understandable that the site monitoring network refers to a monitoring network formed by fixed monitoring sites with adjacent spacing equal to the site monitoring spacing. Since the monitoring area is an irregular shape, there are complete area coverage unit grid sets and partial area coverage grid sets in the monitoring area after being divided by the site monitoring network.

[0027] S2. Identify a grid vertex set of the unit grid area, and arrange fixed monitoring sites according to the grid vertex set to obtain multiple groups of fixed monitoring site sets.

[0028] In detail, the number of fixed monitoring sites in each fixed monitoring site set is 4. Since the unit grid area is a square area, the number of grid vertices in the grid vertex set is 4.

[0029] S3. Using the fixed monitoring site set to monitor the concentration of volatile organic compounds, obtain a fixed monitoring concentration set.

[0030] It can be understood that the fixed monitoring concentration set refers to the set of volatile organic compound concentrations monitored by a fixed monitoring site set.

[0031] S4. Obtain a historical concentration distribution surface set of the unit grid area, and identify a target perpendicular bisector distance sequence according to the historical concentration distribution surface set.

[0032] It can be understood that the target perpendicular bisector distance sequence refers to the perpendicular bisector distance sequence of the unit grid edge corresponding to the mobile monitoring coordinate distance. The mobile monitoring coordinate refers to the mobile monitoring coordinate set in the unit grid area for monitoring the concentration of atmospheric volatile organic compounds.

[0033] In an embodiment of the present invention, the method of identifying a target perpendicular bisector distance sequence according to the historical concentration distribution surface set includes: extracting historical concentration distribution surfaces in sequence from the historical concentration distribution surface set, wherein the historical concentration distribution surface is a real-time concentration distribution surface of volatile organic compounds in a past unit grid area; obtaining a perpendicular bisector distance sequence, and sequentially extracting perpendicular bisector distances from the perpendicular bisector distance sequence, wherein the value range of the perpendicular bisector distance sequence is 1 / 2 of the length of the unit grid edge; sequentially selecting unit grid edges in the unit grid area; and selecting the unit grid edges and the perpendicular bisector distances in the historical concentration distribution surface set. Identify historical concentration surface points on the concentration distribution surface; identify historical adjacent edge surface point pairs of the unit grid edge in the historical concentration distribution surface; connect the historical concentration surface points and the historical adjacent edge surface point pairs in sequence to obtain a historical space triangular plane; perform surface projection interception on the historical concentration distribution surface according to the historical space triangular plane to obtain a historical space triangular surface; calculate the area difference between the historical space triangular plane and the historical space triangular surface to obtain the area difference set of the perpendicular bisector distance; calculate the average area difference according to the area difference set, and summarize the average area corresponding to each perpendicular bisector distance. The method comprises the following steps: dividing the difference values ​​to obtain an average area difference value set; summarizing the average area difference value sets of each unit grid edge to obtain an average area difference value set group, wherein the number of the average area difference value set group is 4; identifying the number of unit grid edges in the unit grid area, and determining a vertical bisector distance sequence group according to the vertical bisector distance sequence and the number of unit grid edges, wherein the number of vertical bisector distance sequences in the vertical bisector distance sequence group is equal to the number of unit grid edges; arranging and combining the vertical bisector distance sequence group to obtain multiple groups of vertical bisector distance sequences; sequentially extracting vertical bisector distance sequences from the multiple groups of vertical bisector distance sequences, and then extracting the vertical bisector distance sequences according to the vertical bisector distance sequence number. According to the perpendicular bisector distance sequence, a target area score difference group is identified in the average area score difference set group; according to the perpendicular bisector distance sequence and the unit grid area, a quadrilateral inside a region is determined; the area score difference inside the region of the quadrilateral inside the region is obtained, and a comprehensive area score difference of the perpendicular bisector distance sequence is calculated according to the area score difference inside the region and the target area score difference group; the comprehensive area score difference of each perpendicular bisector distance sequence is collected to obtain a comprehensive area score difference set; the maximum area score difference is identified in the comprehensive area score difference set, and a target perpendicular bisector distance sequence corresponding to the maximum area score difference is identified.

[0034] Furthermore, the perpendicular bisector distance sequence refers to a sequence of values ​​of the perpendicular bisector distance. When the length of the unit grid edge is 4km, the perpendicular bisector distance sequence may be 0.2km, 0.4km, 0.6km, 0.8km, 1km, 1.2km, 1.4km, 1.6km, 1.8km, and 2km. The historical concentration surface point refers to a three-dimensional coordinate point corresponding to the coordinate point determined by the unit grid edge and the perpendicular bisector distance on the historical concentration distribution surface. For example, when the coordinates of the two end points of the unit grid edge are (2km, 2km) and (4km, 2km), respectively, and the perpendicular bisector distance is 1.5km, then the coordinate point determined by the unit grid edge and the perpendicular bisector distance may be (3km, 3.5km), and the historical concentration surface point is the vertical projection point of (3km, 3.5km) on the historical concentration distribution surface. See. Figure 2 As shown, when the coordinate point (3km, 3.5km) is point a, the historical concentration surface point is the vertical projection point of point a on the historical concentration distribution surface. The historical adjacent edge surface point pair refers to the two vertical projection points of the two end points of the unit grid edge on the historical concentration distribution surface. The historical space triangular surface refers to the vertical projection surface of the historical space triangular plane on the historical concentration distribution surface. The area integral difference refers to the difference between the area integral of the historical space triangular plane and the historical space triangular surface (all area integral differences in the embodiment of the present invention are positive values), and the area integral refers to the triple integral of the historical space triangular plane or the historical space triangular surface and the unit grid area, that is, the spatial volume formed by the vertical projection of the historical space triangular plane or the historical space triangular surface and the unit grid area. The average area integral difference refers to the average value of the area integral difference set. The perpendicular bisector distance sequence group refers to 4 identical perpendicular bisector distance sequences formed by the perpendicular bisector distance sequences corresponding to each unit grid edge. For example, the vertical bisection distance sequence group may be 4 (0.2 km, 0.4 km, 0.6 km, 0.8 km, 1.0 km, 1.2 km).

[0035] It can be understood that the plurality of groups of perpendicular bisect distance sequences refer to a plurality of groups of perpendicular bisect distance sequences obtained by permuting and combining the perpendicular bisect distance sequences in the perpendicular bisect distance sequence group. For example, when the perpendicular bisect distance sequence group is 4 (0.2km, 0.4km, 0.6km, 0.8km, 1.0km, 1.2km), the perpendicular bisect distance sequence can be (0.2km, 0.2km, 0.2km, 0.2km), (0.2km, 0.2km, 0.2km, 0.4km), (0.2km, 0.2km, 0.2km, 0.6km), (0.2km, 0.2km, 0.2km, 0.8km), etc., totaling A perpendicular bisect distance sequence. The target area difference value group refers to the four average area difference values ​​corresponding to the perpendicular bisect distance sequence in the average area difference value set. For example: when the perpendicular bisect distance sequence is (0.2km, 0.4km, 0.6km, 0.8km), the target area difference value group is the average area difference values ​​corresponding to the first group of average area difference values ​​in the average area difference value set of the perpendicular bisect distance 0.2km, the average area difference values ​​corresponding to the second group of average area difference values ​​in the average area difference value set of the perpendicular bisect distance 0.4km, the average area difference values ​​corresponding to the third group of average area difference values ​​in the average area difference value set of the perpendicular bisect distance 0.6km, and the average area difference values ​​corresponding to the fourth group of average area difference values ​​in the average area difference value set of the perpendicular bisect distance 0.8km.

[0036] In detail, the region internal quadrilateral refers to a quadrilateral composed of four coordinate points determined by each perpendicular bisector distance in the perpendicular bisector distance sequence and its corresponding unit grid edge. The region internal area integral difference refers to the difference (positive value) between the area integrals of the historical space quadrilateral plane and the historical space quadrilateral surface formed by the vertical projection of the region internal quadrilateral on the historical concentration distribution surface set. The historical space quadrilateral plane and the historical space quadrilateral surface are described in detail in the following embodiments.

[0037] Furthermore, the comprehensive area score difference refers to the sum of the area score difference within the region and the area score difference of the target area score difference group.

[0038] In an embodiment of the present invention, the permuting and combining the perpendicular bisection distance sequence group to obtain multiple groups of perpendicular bisection distance sequences includes: sequence numbering the perpendicular bisection distance sequences in the perpendicular bisection distance sequence group to obtain a first perpendicular bisection distance sequence, a second perpendicular bisection distance sequence, a third perpendicular bisection distance sequence, and a fourth perpendicular bisection distance sequence; permuting and combining the first perpendicular bisection distance, the second perpendicular bisection distance, the third perpendicular bisection distance, and the fourth perpendicular bisection distance in the first perpendicular bisection distance sequence, the second perpendicular bisection distance sequence, the third perpendicular bisection distance sequence, and the fourth perpendicular bisection distance sequence to obtain multiple groups of perpendicular bisection distance sequences.

[0039] It can be understood that the perpendicular bisector distance sequence has a one-to-one correspondence with the unit grid edge, and therefore, the perpendicular bisector distance sequence can be numbered to facilitate arrangement and combination.

[0040] In an embodiment of the present invention, determining the quadrilateral inside the region according to the perpendicular bisector distance sequence and the unit grid region includes: extracting perpendicular bisector distances in sequence from the perpendicular bisector distance sequence, identifying the target unit grid edge corresponding to the perpendicular bisector distance; drawing an inner perpendicular bisector on the target unit grid edge according to the perpendicular bisector distance, identifying the perpendicular bisector endpoint of the inner perpendicular bisector, and obtaining a perpendicular bisector endpoint set; and connecting the perpendicular bisector endpoint set in sequence to obtain the quadrilateral inside the region.

[0041] It can be understood that the inner perpendicular bisector refers to the perpendicular bisector drawn inside the unit grid area according to the perpendicular bisector distance. The perpendicular bisector endpoint refers to the endpoint of the inner perpendicular bisector. The quadrilateral inside the area refers to the quadrilateral composed of the perpendicular bisector endpoint set, which can be found in Figure 2 As shown, Figure 2 The middle quadrilateral abcd is the quadrilateral inside the region. The quadrilateral ABCD is the unit grid region.

[0042] In an embodiment of the present invention, obtaining the area score difference of the quadrilateral inside the region includes: identifying a historical quadrilateral point group of the quadrilateral inside the region in the historical concentration distribution surface; connecting the historical quadrilateral points in the historical quadrilateral point group in sequence to obtain a historical space quadrilateral plane; performing surface projection interception on the historical concentration distribution surface according to the quadrilateral inside the region to obtain a historical space quadrilateral surface; calculating the area score difference between the historical space quadrilateral plane and the historical space quadrilateral surface to obtain the area score difference inside the region.

[0043] Furthermore, the historical quadrilateral surface point group refers to the four coordinate points of the vertical projection of the four vertices of the quadrilateral inside the region on the historical concentration distribution surface. Figure 2 The four coordinate points of a, b, c, and d in the vertical projection on the historical concentration distribution surface. The historical space quadrilateral surface refers to the quadrilateral surface intercepted by the vertical projection of the quadrilateral inside the region on the historical concentration distribution surface. The area integral difference inside the region refers to the difference between the surface integral (triple integral) of the historical space quadrilateral plane and the historical space quadrilateral surface. For example, when the four coordinate points of the historical space quadrilateral plane are (1, 1, 1), (1, 2, 1), (2, 1, 1), and (2, 2, 1), its area integral is , that is, the volume enclosed by the four coordinate points.

[0044] In an embodiment of the present invention, the calculating of the comprehensive area score difference of the perpendicular bisect distance sequence according to the area score difference within the region and the target area score difference group includes: using a pre-constructed comprehensive area score difference formula to calculate the comprehensive area score difference of the perpendicular bisect distance sequence according to the area score difference within the region and the target area score difference group, wherein the comprehensive area score difference formula is as follows: ,in, represents the comprehensive area integral difference corresponding to the jth perpendicular bisector distance sequence of the i-th unit grid area, It represents the internal area difference of the region corresponding to the jth perpendicular bisector distance sequence of the i-th unit grid area. Represents the pth target area score difference in the target area score difference group corresponding to the jth perpendicular bisector distance sequence of the i-th unit grid area.

[0045] S5. Identify a perpendicular bisector point sequence in the unit grid area according to the target perpendicular bisector distance sequence.

[0046] In detail, the number of perpendicular bisectors in the perpendicular bisector sequence is 4. The perpendicular bisector sequence refers to four perpendicular bisector endpoints corresponding to the target perpendicular bisector distance sequence in the unit grid area.

[0047] In an embodiment of the present invention, identifying a perpendicular bisector point sequence in the unit grid area according to the target perpendicular bisector distance sequence includes: extracting target perpendicular bisector distances in sequence in the target perpendicular bisector distance sequence, identifying associated unit grid edges corresponding to the target perpendicular bisector distances; determining a target perpendicular bisector endpoint according to the target perpendicular bisector distances and the associated unit grid edges, and obtaining a perpendicular bisector point sequence.

[0048] Furthermore, the associated unit grid edge refers to the unit grid edge corresponding to the target perpendicular bisector distance, for example, the first target perpendicular bisector distance in the target perpendicular bisector distance sequence corresponds to the first unit grid edge of the four unit grid edges in the unit grid area. The target perpendicular bisector endpoint refers to the endpoint of the perpendicular bisector line drawn according to the target perpendicular bisector distance and the associated unit grid edge. The perpendicular bisector point sequence refers to a sequence composed of the target perpendicular bisector endpoints determined by each target perpendicular bisector distance. Figure 2 As shown, when the target perpendicular bisection distances are Bd, Ec, Gb, and Da respectively, the perpendicular bisection point sequence is d, c, b, and a.

[0049] S6. Identify a perpendicular bisector coordinate sequence of the perpendicular bisector point sequence, and calculate the mobile monitoring coordinates according to the perpendicular bisector coordinate sequence using a pre-constructed central coordinate formula.

[0050] It can be understood that the perpendicular bisector coordinate sequence refers to a sequence consisting of coordinates corresponding to each perpendicular bisector point in the perpendicular bisector point sequence. The movement monitoring coordinates refer to the coordinates of the movement monitoring point.

[0051] Furthermore, the center coordinate formula is as follows: ,in, Represents the horizontal coordinate value of the mobile monitoring coordinate of the i-th unit grid area, Represents the ordinate value of the mobile monitoring coordinate of the i-th unit grid area, represents the horizontal coordinate value of the perpendicular bisector point a, represents the ordinate value of the perpendicular bisector point a, represents the horizontal coordinate value of the perpendicular bisector point b, represents the ordinate value of the perpendicular bisector point b, represents the horizontal coordinate value of the perpendicular bisector point c, represents the ordinate value of the perpendicular bisector point c, represents the horizontal coordinate value of the perpendicular bisector point d, Represents the ordinate value of the perpendicular bisector point d.

[0052] S7. Gather the mobile monitoring coordinates of all unit grid areas to obtain a mobile monitoring coordinate set.

[0053] It is understandable that, since there are multiple unit grid areas, each unit grid area corresponds to a mobile monitoring coordinate, and therefore, there are multiple mobile monitoring coordinates.

[0054] S8. Perform mobile site monitoring on the monitoring area according to the mobile monitoring coordinate set to obtain a mobile monitoring concentration set.

[0055] In detail, the mobile monitoring concentration set refers to a set of volatile organic compound concentrations monitored at each mobile monitoring coordinate position in the mobile monitoring coordinate set.

[0056] S9. Perform organic matter concentration fitting on the monitoring area according to the fixed monitoring concentration set and the mobile monitoring concentration set to obtain a target concentration surface map, thereby completing volatile organic matter concentration monitoring.

[0057] It can be understood that the target concentration surface diagram refers to a surface diagram describing the distribution of volatile organic compound concentrations in the monitoring area obtained after point fitting based on the fixed monitoring concentration set and the mobile monitoring concentration set.

[0058] In an embodiment of the present invention, the organic matter concentration of the monitoring area is fitted according to the fixed monitoring concentration set and the mobile monitoring concentration set to obtain a target concentration surface map, including: extracting fixed monitoring concentrations in the fixed monitoring concentration set in turn, and identifying associated fixed monitoring sites corresponding to the fixed monitoring concentrations; determining fixed three-dimensional coordinate points according to the associated fixed monitoring sites and the fixed monitoring concentrations to obtain a fixed three-dimensional coordinate point set; extracting mobile monitoring concentrations in the mobile monitoring concentration set in turn, and identifying associated mobile monitoring sites corresponding to the mobile monitoring concentrations; determining mobile three-dimensional coordinate points according to the associated mobile monitoring sites and the mobile monitoring concentrations to obtain a mobile three-dimensional coordinate point set; performing surface fitting on the fixed three-dimensional coordinate point set and the mobile three-dimensional coordinate point set to obtain a target concentration surface map.

[0059] It can be understood that the associated fixed monitoring site refers to the fixed monitoring site corresponding to the fixed monitoring concentration, and the fixed three-dimensional coordinate point refers to the three-dimensional coordinate point determined by the associated fixed monitoring site and the fixed monitoring concentration. For example, when the coordinates of the associated fixed monitoring site are (1km, 2km), the fixed monitoring concentration is , the fixed three-dimensional coordinate point is (1, 2, 100). The associated mobile monitoring site refers to the monitoring site corresponding to the mobile monitoring concentration, and the mobile three-dimensional coordinate point refers to the three-dimensional coordinate point determined by the associated mobile monitoring site and the mobile monitoring concentration.

[0060] In order to solve the problem described in the background technology, the present invention divides the volatile organic compound concentration monitoring into two parts, the first part is the fixed monitoring site monitoring part, and the second part is the mobile monitoring site monitoring part. In the first part, it is necessary to first obtain the monitoring area, and then the monitoring area is grid-divided according to the preset site monitoring spacing to obtain a unit grid area set. In order to analyze each unit grid area in the unit grid area set, it is necessary to extract the unit grid areas in the unit grid area set in turn, and then identify the grid vertex set of the unit grid area, so that fixed monitoring sites can be arranged according to the grid vertex set to obtain multiple groups of fixed monitoring site sets. At this time, the fixed monitoring site set can be used to monitor the volatile organic compound concentration to obtain a fixed monitoring concentration set. In the second part, since the mobile monitoring site is not a fixed position, it is necessary to first calculate the mobile monitoring coordinate set. When calculating the mobile monitoring coordinate set, When marking the set, since it is necessary to determine the mobile monitoring coordinates based on the historical concentration distribution surface set, it is necessary to first obtain the historical concentration distribution surface set of the unit grid area, and identify the target perpendicular bisector distance sequence based on the historical concentration distribution surface set, and finally identify the perpendicular bisector point sequence in the unit grid area based on the target perpendicular bisector distance sequence. After obtaining the perpendicular bisector point sequence, the perpendicular bisector coordinate sequence of the perpendicular bisector point sequence can be identified, and then the mobile monitoring coordinates can be calculated using the pre-constructed central coordinate formula based on the perpendicular bisector coordinate sequence, and then the mobile monitoring coordinates of all unit grid areas can be collected to obtain the mobile monitoring coordinate set. At this time, the monitoring area can be mobile site monitored according to the mobile monitoring coordinate set to obtain the mobile monitoring concentration set, and finally the monitoring area can be directly fitted with the organic matter concentration according to the fixed monitoring concentration set and the mobile monitoring concentration set to obtain the target concentration surface map. Therefore, the present invention can improve the monitoring accuracy of the atmospheric volatile organic compound concentration.

[0061] like Figure 3 , which is a functional module diagram of a volatile organic compound concentration monitoring system provided by an embodiment of the present invention.

[0062] The volatile organic compound concentration monitoring system 100 of the present invention can be installed in an electronic device. According to the functions to be implemented, the volatile organic compound concentration monitoring system 100 can include a fixed monitoring concentration set monitoring module 101, a mobile monitoring coordinate set calculation module 102, a mobile monitoring concentration set monitoring module 103 and an organic matter concentration fitting module 104. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0063] The fixed monitoring concentration set monitoring module 101 is used to obtain a monitoring area, grid the monitoring area according to a preset site monitoring spacing to obtain a unit grid area set, and extract unit grid areas in the unit grid area set in sequence; identify a grid vertex set of the unit grid area, arrange fixed monitoring sites according to the grid vertex set, and obtain multiple groups of fixed monitoring site sets, wherein the number of fixed monitoring sites in each group of fixed monitoring site sets is 4; use the fixed monitoring site set to monitor the concentration of volatile organic compounds to obtain a fixed monitoring concentration set; the mobile monitoring coordinate set calculation module 102 is used to obtain a historical concentration distribution surface set of the unit grid area, identify a target perpendicular bisector distance sequence according to the historical concentration distribution surface set; identify a perpendicular bisector point sequence in the unit grid area according to the target perpendicular bisector distance sequence, wherein the number of perpendicular bisector points in the perpendicular bisector point sequence is 4; identify a perpendicular bisector coordinate sequence of the perpendicular bisector point sequence, and calculate the mobile monitoring coordinates according to the perpendicular bisector coordinate sequence using a pre-constructed central coordinate formula, wherein the central coordinate formula is as follows: ,in, Represents the horizontal coordinate value of the mobile monitoring coordinate of the i-th unit grid area, Represents the ordinate value of the mobile monitoring coordinate of the i-th unit grid area, represents the horizontal coordinate value of the perpendicular bisector point a, represents the ordinate value of the perpendicular bisector point a, represents the horizontal coordinate value of the perpendicular bisector point b, represents the ordinate value of the perpendicular bisector point b, represents the horizontal coordinate value of the perpendicular bisector point c, represents the ordinate value of the perpendicular bisector point c, represents the horizontal coordinate value of the perpendicular bisector point d, The ordinate value of the perpendicular bisector point d is represented; the mobile monitoring coordinates of all unit grid areas are collected to obtain a mobile monitoring coordinate set; the mobile monitoring concentration set monitoring module 103 is used to perform mobile site monitoring on the monitoring area according to the mobile monitoring coordinate set to obtain a mobile monitoring concentration set; the organic matter concentration fitting module 104 is used to perform organic matter concentration fitting on the monitoring area according to the fixed monitoring concentration set and the mobile monitoring concentration set to obtain a target concentration surface diagram.

[0064] In detail, each module in the volatile organic compound concentration monitoring system 100 in the embodiment of the present invention is used in the same manner as described above. Figure 1 The volatile organic compound concentration monitoring method described in the present invention has the same technical means and can produce the same technical effects, so it will not be repeated here.

[0065] like Figure 4 FIG. 1 is a schematic diagram of the structure of an electronic device for implementing a method for monitoring concentration of volatile organic compounds provided by an embodiment of the present invention.

[0066] The electronic device 1 may include a processor 10 , a memory 11 and a bus 12 , and may also include a computer program stored in the memory 11 and executable on the processor 10 , such as a volatile organic compound concentration monitoring method program.

[0067] The memory 11 includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a mobile hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a magnetic memory, a disk, an optical disk, etc. In some embodiments, the memory 11 may be an internal storage unit of the electronic device 1, such as a mobile hard disk of the electronic device 1. In other embodiments, the memory 11 may also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 1. Further, the memory 11 also includes an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device 1, such as the code of the volatile organic compound concentration monitoring method program, etc., but also can be used to temporarily store data that has been output or is to be output.

[0068] The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules (such as volatile organic compound concentration monitoring method programs, etc.) stored in the memory 11, and calls data stored in the memory 11 to execute various functions of the electronic device 1 and process data.

[0069] The bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 may be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0070] Figure 4 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 4 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0071] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0072] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0073] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0074] The volatile organic compound concentration monitoring method program stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve: obtaining a monitoring area, dividing the monitoring area into grids according to a preset site monitoring interval to obtain a unit grid area set, and extracting unit grid areas in the unit grid area set in sequence; identifying a grid vertex set of the unit grid area, arranging fixed monitoring sites according to the grid vertex set, and obtaining multiple groups of fixed monitoring site sets, wherein the number of fixed monitoring sites in each group of fixed monitoring site sets is 4; monitoring the volatile organic compound concentration using the fixed monitoring site set to obtain a fixed monitoring concentration set; obtaining a historical concentration distribution surface set of the unit grid area, identifying a target perpendicular bisector distance sequence according to the historical concentration distribution surface set; identifying a perpendicular bisector point sequence in the unit grid area according to the target perpendicular bisector distance sequence, wherein the number of perpendicular bisector points in the perpendicular bisector point sequence is 4; identifying a perpendicular bisector coordinate sequence of the perpendicular bisector point sequence, and calculating the mobile monitoring coordinate using a pre-constructed central coordinate formula according to the perpendicular bisector coordinate sequence, wherein the central coordinate formula is as follows: ,in, Represents the horizontal coordinate value of the mobile monitoring coordinate of the i-th unit grid area, Represents the ordinate value of the mobile monitoring coordinate of the i-th unit grid area, represents the horizontal coordinate value of the perpendicular bisector point a, represents the ordinate value of the perpendicular bisector point a, represents the horizontal coordinate value of the perpendicular bisector point b, represents the ordinate value of the perpendicular bisector point b, represents the horizontal coordinate value of the perpendicular bisector point c, represents the ordinate value of the perpendicular bisector point c, represents the horizontal coordinate value of the perpendicular bisector point d, The ordinate value of the perpendicular bisector point d is represented; the mobile monitoring coordinates of all unit grid areas are collected to obtain a mobile monitoring coordinate set; mobile site monitoring is performed on the monitoring area according to the mobile monitoring coordinate set to obtain a mobile monitoring concentration set; organic matter concentration is fitted on the monitoring area according to the fixed monitoring concentration set and the mobile monitoring concentration set to obtain a target concentration surface map, thereby completing the volatile organic compound concentration monitoring.

[0075] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figures 1 to 4 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0076] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0077] The present invention also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor of an electronic device, it can achieve: obtaining a monitoring area, gridding the monitoring area according to a preset site monitoring interval to obtain a unit grid area set, and extracting unit grid areas in the unit grid area set in sequence; identifying a grid vertex set of the unit grid area, arranging fixed monitoring sites according to the grid vertex set, and obtaining multiple groups of fixed monitoring site sets, wherein the number of fixed monitoring sites in each group of fixed monitoring site sets is 4; using the fixed monitoring site set to monitor the concentration of volatile organic compounds to obtain a fixed monitoring concentration set; obtaining a historical concentration distribution surface set of the unit grid area, identifying a target perpendicular bisector distance sequence according to the historical concentration distribution surface set; identifying a perpendicular bisector point sequence in the unit grid area according to the target perpendicular bisector distance sequence, wherein the number of perpendicular bisector points in the perpendicular bisector point sequence is 4; identifying a perpendicular bisector coordinate sequence of the perpendicular bisector point sequence, and calculating the mobile monitoring coordinates according to the perpendicular bisector coordinate sequence using a pre-constructed central coordinate formula, wherein the central coordinate formula is as follows: ,in, Represents the horizontal coordinate value of the mobile monitoring coordinate of the i-th unit grid area, Represents the ordinate value of the mobile monitoring coordinate of the i-th unit grid area, represents the horizontal coordinate value of the perpendicular bisector point a, represents the ordinate value of the perpendicular bisector point a, represents the horizontal coordinate value of the perpendicular bisector point b, represents the ordinate value of the perpendicular bisector point b, represents the horizontal coordinate value of the perpendicular bisector point c, represents the ordinate value of the perpendicular bisector point c, represents the horizontal coordinate value of the perpendicular bisector point d, The ordinate value of the perpendicular bisector point d is represented; the mobile monitoring coordinates of all unit grid areas are collected to obtain a mobile monitoring coordinate set; mobile site monitoring is performed on the monitoring area according to the mobile monitoring coordinate set to obtain a mobile monitoring concentration set; organic matter concentration is fitted on the monitoring area according to the fixed monitoring concentration set and the mobile monitoring concentration set to obtain a target concentration surface map, thereby completing the volatile organic compound concentration monitoring.

[0078] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only illustrative, and actual implementation may have other division methods.

[0079] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0080] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0081] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0082] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for monitoring the concentration of volatile organic compounds, characterized in that: The method includes: obtaining a monitoring area, dividing the monitoring area into grids according to a preset site monitoring spacing to obtain a unit grid area set, and extracting unit grid areas in the unit grid area set in sequence; identifying a grid vertex set of the unit grid area, arranging fixed monitoring sites according to the grid vertex set, and obtaining multiple groups of fixed monitoring site sets, wherein the number of fixed monitoring sites in each group of fixed monitoring site sets is 4; monitoring the concentration of volatile organic compounds using the fixed monitoring site set to obtain a fixed monitoring concentration set; obtaining a historical concentration distribution surface set of the unit grid area, identifying a target perpendicular bisector distance sequence according to the historical concentration distribution surface set; identifying a perpendicular bisector point sequence in the unit grid area according to the target perpendicular bisector distance sequence, wherein the number of perpendicular bisector points in the perpendicular bisector point sequence is 4; identifying a perpendicular bisector coordinate sequence of the perpendicular bisector point sequence, and calculating a mobile monitoring coordinate using a pre-constructed central coordinate formula according to the perpendicular bisector coordinate sequence, wherein the central coordinate formula is as follows: ,in, Represents the horizontal coordinate value of the mobile monitoring coordinate of the i-th unit grid area, Represents the ordinate value of the mobile monitoring coordinate of the i-th unit grid area, represents the horizontal coordinate value of the perpendicular bisector point a, represents the ordinate value of the perpendicular bisector point a, represents the horizontal coordinate value of the perpendicular bisector point b, represents the ordinate value of the perpendicular bisector point b, represents the horizontal coordinate value of the perpendicular bisector point c, represents the ordinate value of the perpendicular bisector point c, represents the horizontal coordinate value of the perpendicular bisector point d, The ordinate value of the perpendicular bisector point d is represented; the mobile monitoring coordinates of all unit grid areas are collected to obtain a mobile monitoring coordinate set; mobile site monitoring is performed on the monitoring area according to the mobile monitoring coordinate set to obtain a mobile monitoring concentration set; organic matter concentration is fitted on the monitoring area according to the fixed monitoring concentration set and the mobile monitoring concentration set to obtain a target concentration surface map, thereby completing the volatile organic compound concentration monitoring.

2. The method for monitoring the concentration of volatile organic compounds according to claim 1, wherein: The method of dividing the monitoring area into grids according to a preset site monitoring spacing to obtain a unit grid area set includes: constructing a site monitoring network according to the site monitoring spacing, wherein the unit grids in the site monitoring network are square and the side length of the unit grids is equal to the site monitoring spacing; dividing the monitoring area into regions according to the site monitoring network to obtain initial grid regions; performing complete coverage grid identification and partial coverage grid identification on the initial grid regions to obtain a complete area coverage unit grid set and a partial area coverage unit grid set, wherein the complete area coverage unit grid set refers to unit grids whose entire areas are covered by the monitoring area, and the partial area coverage unit grid set refers to unit grids whose partial areas are covered by the monitoring area; and forming the unit grid area set according to the complete area coverage unit grid set and the partial area coverage unit grid set.

3. The method for monitoring the concentration of volatile organic compounds according to claim 2, characterized in that: The method for identifying a target perpendicular bisector distance sequence according to the historical concentration distribution surface set includes: extracting historical concentration distribution surfaces in the historical concentration distribution surface set in sequence, wherein the historical concentration distribution surface is a real-time concentration distribution surface of volatile organic compounds in a past unit grid area; obtaining a perpendicular bisector distance sequence, and extracting perpendicular bisector distances in the perpendicular bisector distance sequence in sequence, wherein the value range of the perpendicular bisector distance sequence is 1 / 2 of the length of the unit grid edge; selecting unit grid edges in the unit grid area in sequence; and selecting a target perpendicular bisector distance sequence on the historical concentration distribution surface according to the unit grid edges and the perpendicular bisector distances. Identify historical concentration surface points; identify historical adjacent edge surface point pairs of the unit grid edge in the historical concentration distribution surface; connect the historical concentration surface points and the historical adjacent edge surface point pairs in sequence to obtain a historical space triangular plane; perform surface projection interception on the historical concentration distribution surface according to the historical space triangular plane to obtain a historical space triangular surface; calculate the area difference between the historical space triangular plane and the historical space triangular surface to obtain an area difference set of the perpendicular bisector distance; calculate the average area difference according to the area difference set, and summarize the average area difference corresponding to each perpendicular bisector distance, The method comprises the following steps: obtaining an average area difference value set; summarizing the average area difference value sets of each unit grid edge to obtain an average area difference value set group, wherein the number of the average area difference value set group is 4; identifying the number of unit grid edges in the unit grid area, and determining a vertical bisector distance sequence group according to the vertical bisector distance sequence and the number of unit grid edges, wherein the number of vertical bisector distance sequences in the vertical bisector distance sequence group is equal to the number of unit grid edges; arranging and combining the vertical bisector distance sequence group to obtain multiple groups of vertical bisector distance sequences; sequentially extracting vertical bisector distance sequences from the multiple groups of vertical bisector distance sequences, and extracting the vertical bisector distance sequences according to the vertical bisector distance sequence. The perpendicular bisector distance sequence identifies a target area score difference value group in the average area score difference value set group; determines a quadrilateral inside a region according to the perpendicular bisector distance sequence and the unit grid region; obtains a region internal area score difference value of the quadrilateral inside the region, and calculates a comprehensive area score difference value of the perpendicular bisector distance sequence according to the region internal area score difference value and the target area score difference group; collects the comprehensive area score difference values ​​of each perpendicular bisector distance sequence to obtain a comprehensive area score difference value set; identifies a maximum area score difference value in the comprehensive area score difference value set, and identifies a target perpendicular bisector distance sequence corresponding to the maximum area score difference value.

4. The method for monitoring the concentration of volatile organic compounds according to claim 3, characterized in that: The step of arranging and combining the perpendicular bisect distance sequence group to obtain multiple groups of perpendicular bisect distance sequences includes: sequence numbering the perpendicular bisect distance sequences in the perpendicular bisect distance sequence group to obtain a first perpendicular bisect distance sequence, a second perpendicular bisect distance sequence, a third perpendicular bisect distance sequence, and a fourth perpendicular bisect distance sequence; and arranging and combining the first perpendicular bisect distance, the second perpendicular bisect distance, the third perpendicular bisect distance, and the fourth perpendicular bisect distance in the first perpendicular bisect distance sequence, the second perpendicular bisect distance sequence, the third perpendicular bisect distance sequence, and the fourth perpendicular bisect distance sequence to obtain multiple groups of perpendicular bisect distance sequences.

5. The method for monitoring the concentration of volatile organic compounds according to claim 4, characterized in that: The method of determining the quadrilateral inside the region according to the perpendicular bisector distance sequence and the unit grid region comprises: extracting perpendicular bisector distances in sequence from the perpendicular bisector distance sequence, identifying the target unit grid edge corresponding to the perpendicular bisector distance; drawing an inner perpendicular bisector on the target unit grid edge according to the perpendicular bisector distance, identifying the perpendicular bisector endpoint of the inner perpendicular bisector, and obtaining a perpendicular bisector endpoint set; and sequentially connecting the perpendicular bisector endpoint set to obtain the quadrilateral inside the region.

6. The method for monitoring the concentration of volatile organic compounds according to claim 5, characterized in that: The method of obtaining the area score difference of the quadrilateral inside the region includes: identifying the historical quadrilateral point group of the quadrilateral inside the region in the historical concentration distribution surface; connecting the historical quadrilateral points in the historical quadrilateral point group in sequence to obtain the historical space quadrilateral plane; performing surface projection interception on the historical concentration distribution surface according to the quadrilateral inside the region to obtain the historical space quadrilateral surface; calculating the area score difference between the historical space quadrilateral plane and the historical space quadrilateral surface to obtain the area score difference of the region.

7. The method for monitoring the concentration of volatile organic compounds according to claim 6, characterized in that: The step of calculating the comprehensive area score difference of the perpendicular bisect distance sequence according to the area score difference within the region and the target area score difference group comprises: using a pre-constructed comprehensive area score difference formula to calculate the comprehensive area score difference of the perpendicular bisect distance sequence according to the area score difference within the region and the target area score difference group, wherein the comprehensive area score difference formula is as follows: ,in, represents the comprehensive area integral difference corresponding to the jth perpendicular bisector distance sequence of the i-th unit grid area, It represents the internal area difference of the region corresponding to the jth perpendicular bisector distance sequence of the i-th unit grid area. Represents the pth target area score difference in the target area score difference group corresponding to the jth perpendicular bisector distance sequence of the i-th unit grid area.

8. The method for monitoring the concentration of volatile organic compounds according to claim 7, wherein: The method of identifying a perpendicular bisector point sequence in the unit grid area according to the target perpendicular bisector distance sequence comprises: extracting target perpendicular bisector distances in sequence from the target perpendicular bisector distance sequence, identifying associated unit grid edges corresponding to the target perpendicular bisector distances; and determining a target perpendicular bisector endpoint according to the target perpendicular bisector distances and the associated unit grid edges to obtain a perpendicular bisector point sequence.

9. The method for monitoring the concentration of volatile organic compounds according to claim 8, characterized in that: The method of fitting the organic matter concentration of the monitoring area according to the fixed monitoring concentration set and the mobile monitoring concentration set to obtain a target concentration surface map includes: extracting fixed monitoring concentrations in sequence from the fixed monitoring concentration set, and identifying associated fixed monitoring sites corresponding to the fixed monitoring concentrations; determining fixed three-dimensional coordinate points according to the associated fixed monitoring sites and the fixed monitoring concentrations to obtain a fixed three-dimensional coordinate point set; extracting mobile monitoring concentrations in sequence from the mobile monitoring concentration set, and identifying associated mobile monitoring sites corresponding to the mobile monitoring concentrations; determining mobile three-dimensional coordinate points according to the associated mobile monitoring sites and the mobile monitoring concentrations to obtain a mobile three-dimensional coordinate point set; and performing surface fitting on the fixed three-dimensional coordinate point set and the mobile three-dimensional coordinate point set to obtain a target concentration surface map.

10. A volatile organic compound concentration monitoring system, characterized in that: The system includes: a fixed monitoring concentration set monitoring module, which is used to obtain a monitoring area, grid the monitoring area according to a preset site monitoring spacing, obtain a unit grid area set, and extract unit grid areas in the unit grid area set in sequence; identify a grid vertex set of the unit grid area, arrange fixed monitoring sites according to the grid vertex set, and obtain multiple groups of fixed monitoring site sets, wherein the number of fixed monitoring sites in each group of fixed monitoring site sets is 4; monitor the concentration of volatile organic compounds using the fixed monitoring site set to obtain a fixed monitoring concentration set; a mobile monitoring coordinate set calculation module, which is used to obtain a historical concentration distribution surface set of the unit grid area, identify a target perpendicular bisector distance sequence according to the historical concentration distribution surface set; identify a perpendicular bisector point sequence in the unit grid area according to the target perpendicular bisector distance sequence, wherein the number of perpendicular bisector points in the perpendicular bisector point sequence is 4; identify a perpendicular bisector coordinate sequence of the perpendicular bisector point sequence, and calculate the mobile monitoring coordinate using a pre-constructed central coordinate formula according to the perpendicular bisector coordinate sequence, wherein the central coordinate formula is as follows: ,in, Represents the horizontal coordinate value of the mobile monitoring coordinate of the i-th unit grid area, Represents the ordinate value of the mobile monitoring coordinate of the i-th unit grid area, represents the horizontal coordinate value of the perpendicular bisector point a, represents the ordinate value of the perpendicular bisector point a, represents the horizontal coordinate value of the perpendicular bisector point b, represents the ordinate value of the perpendicular bisector point b, represents the horizontal coordinate value of the perpendicular bisector point c, represents the ordinate value of the perpendicular bisector point c, represents the horizontal coordinate value of the perpendicular bisector point d, The vertical coordinate value of the perpendicular bisector point d is represented; the mobile monitoring coordinates of all unit grid areas are collected to obtain a mobile monitoring coordinate set; a mobile monitoring concentration set monitoring module is used to perform mobile site monitoring on the monitoring area according to the mobile monitoring coordinate set to obtain a mobile monitoring concentration set; an organic matter concentration fitting module is used to perform organic matter concentration fitting on the monitoring area according to the fixed monitoring concentration set and the mobile monitoring concentration set to obtain a target concentration surface map.

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