High-density gridding CO2 concentration spatial and temporal distribution description and total carbon emission metering method

Abstract

The invention provides a high-density gridding CO2 concentration spatial and temporal distribution description and total carbon emission metering method, which comprises the following steps that a to-be-measured area is regarded as a cuboid, the to-be-measured area is divided into high-density grids at equal intervals in the x-axis direction, the y-axis direction and the z-axis direction, and each grid corresponds to a plurality of measuring points; each grid is regarded as uniform distribution, the CO2 concentration of each grid is measured by adopting a high-frequency CO2 gas sensor, and the carbon emission of the whole space is further obtained based on gridding carbon concentration-volume integration. Different from a traditional method in which single-point CO2 concentration is used for replacing total-space carbon concentration, a fine grid measurement and calculation method is adopted, high-precision spatial and temporal distribution of the CO2 concentration of the target park can be described from points to surfaces and from surfaces to bodies, and the carbon metering precision is remarkably improved.

Description

Technical Field

[0001] The present invention relates to the field of CO2 measurement technology, and in particular to a high-density gridded CO2 concentration spatiotemporal distribution depiction and total carbon emission measurement method. Background Art

[0002] CO2 is one of the main greenhouse gases in the atmosphere. Its increased concentration will lead to global warming and cause various environmental problems. Therefore, the detection and control of CO2 is of great significance for protecting the environment and human health. In the field of environmental protection, the main task of CO2 detection is to monitor and control the concentration of CO2 in the atmosphere. In the industrial field, CO2 detection is mainly used to monitor and control the emissions of various industrial processes. For example, in the petrochemical, coal chemical and other industries, a large amount of CO2 will be generated during the production process. By detecting and controlling these CO2, the pollution to the environment can be effectively reduced. In addition, CO2 detection can also be used to monitor the energy consumption in the industrial production process to help enterprises achieve the goal of energy conservation and emission reduction.

[0003] There are two main existing carbon monitoring methods: one is the carbon monitoring method based on gas sensors, which can only measure the CO2 concentration at a certain point in space, while remote sensing technology can only obtain a rough planar distribution of CO2 concentration at a long distance. Both of the above methods cannot obtain accurate CO2 concentration distribution and total carbon emissions. Summary of the invention

[0004] In view of this, the present invention proposes a high-density gridded CO2 concentration spatiotemporal distribution depiction and total carbon emissions measurement method to solve the technical problem that the two carbon monitoring methods proposed in the above background technology cannot obtain accurate CO2 concentration distribution and total carbon emissions.

[0005] The technical solution of the present invention is achieved in this way:

[0006] The present invention provides a high-density gridded CO2 concentration spatiotemporal distribution depiction and carbon emission total amount measurement method, comprising the following steps:

[0007] Measuring points are set at equal intervals in the rectangular area to be measured along the x-axis, y-axis and z-axis, and the measuring points divide the area to be measured into a grid of several small rectangular blocks;

[0008] Obtain the CO2 concentration data measured by the sensor at each measurement point;

[0009] The total carbon emissions and average CO2 concentration of each grid are calculated based on the CO2 concentration data measured at each measurement point. The total carbon emissions calculation formula is:

[0010] G = ∫ρ(x,y,z)dV;

[0011] In the formula, ρ x , y , z is the CO2 concentration measured along the x, y, and z axes of the small cuboid, and dV is the volume calculus unit of the small cuboid;

[0012] Describe the spatiotemporal distribution of CO2 concentration in the measurement area based on the average CO2 concentration of each grid;

[0013] The total carbon emissions of the area to be measured are calculated based on the total carbon emissions of each grid.

[0014] On the basis of the above technical solution, preferably, the measuring points are set at equal intervals along the three dimensions of the x-axis, y-axis and z-axis in the rectangular parallelepiped area to be measured, specifically including:

[0015] A point in space is randomly selected as a reference point and a measuring point is set. A rectangular area to be measured is formed from the reference point along the length, width and height dimensions. The measuring points are evenly spaced from the reference point along the x-axis, y-axis and z-axis dimensions.

[0016] On the basis of the above technical solution, preferably, the measuring points are set at equal intervals along the three dimensions of the x-axis, the y-axis and the z-axis, specifically including:

[0017] The distance between two adjacent measurement points in the same dimension is the same, and the distance between two adjacent measurement points in different dimensions is the same or different.

[0018] On the basis of the above technical solution, preferably, it also includes: calculating the CO2 concentration at any position in each grid according to the CO2 concentration data measured at each measuring point, specifically including: assuming the CO2 concentration at the reference point as the reference concentration ρ o , according to the CO2 concentration data measured at each measurement point, the concentration change rate of a certain point (x, y, z) in the grid relative to the reference point is obtained:

[0019] H=h x ×h y ×h z ;

[0020] Where H is the rate of change of the CO2 concentration at point (x, y, z) relative to the CO2 concentration at the reference point, h x h is the rate of change of the CO2 concentration at point (x,0,0) relative to the CO2 concentration at the reference point, y h is the rate of change of the CO2 concentration at point (0,y,0) relative to the CO2 concentration at the reference point, z is the rate of change of the CO2 concentration at point (0,0,z) relative to the CO2 concentration at the reference point;

[0021] The calculation formula for the CO2 concentration at any position (x, y, z) is:

[0022] ρ=ρ0×H;

[0023] Where ρ is the CO2 concentration at any position (x, y, z), and ρ0 is the CO2 concentration at the reference point.

[0024] On the basis of the above technical solution, preferably, the average CO2 concentration of each grid includes: dividing the value of the total carbon emissions of the grid by the volume of the grid to obtain the average CO2 concentration of the grid.

[0025] On the basis of the above technical solution, preferably, it also includes: expressing the rate of change of CO2 concentration at any position in the grid relative to the reference point by color change.

[0026] On the basis of the above technical solution, preferably, the spatiotemporal distribution of CO2 concentration in the area to be measured based on the average CO2 concentration of each grid is depicted, including: converting the average CO2 concentration of each grid into an intuitive three-dimensional model through three-dimensional visualization technology, and depicting the CO2 concentration distribution in the entire area to be measured.

[0027] On the basis of the above technical solution, preferably, after obtaining the average CO2 concentration of each grid in the area to be measured, it further includes: summing up the average CO2 concentration of each grid and then averaging the sum to obtain the average CO2 concentration of the area to be measured.

[0028] On the basis of the above technical scheme, preferably, the total carbon emissions of the area to be measured are calculated according to the total carbon emissions of each grid, specifically including: obtaining the total carbon emissions of the area to be measured by adding the total carbon emissions of each grid; wherein, when calculating the total carbon emissions of each grid, if the measuring point is at a boundary, the result shall be changed to 1 / 2 of the original; if the measuring point is at the junction of two boundaries, the result shall be changed to 1 / 4 of the original; if the measuring point is at the junction of three boundaries, the result shall be changed to 1 / 8 of the original.

[0029] On the basis of the above technical solution, preferably, after the measuring points divide the area to be measured into a plurality of small rectangular grids, it also includes: for each grid, continuing to set measuring points at equal intervals in the three dimensions of length, width and height, and further dividing the grid into a plurality of rectangular measurement elements.

[0030] The high-density grid-based spatiotemporal distribution of CO2 concentration and the total carbon emission measurement method of the present invention have the following beneficial effects compared with the prior art:

[0031] (1) The present invention arranges measurement points at equal intervals along the x-axis, y-axis, and z-axis in the measured area of ​​a rectangular parallelepiped, and calculates the total carbon emissions of each grid according to the CO2 concentration data measured at each measurement point. The measurement method from point to surface and from surface to volume is adopted, which avoids the rough measurement of the CO2 concentration of all points in the entire space, thereby ensuring the measurement accuracy and saving the manpower and funds for measurement. The measurement space is also limited. Through the CO2 concentration-volume integral and real-time monitoring, the change of the total CO2 amount in the space can be obtained, thereby realizing the quantitative monitoring of CO2.

[0032] (2) By making the distance between two adjacent measurement points in the same dimension the same, and the distance between adjacent measurement points in different dimensions the same or different, a high-density measurement point can be set in areas with large CO2 emissions to ensure accuracy, and a low-density measurement point can be set in areas with small CO2 emissions to save costs;

[0033] (3) Combined with the rate of change of CO2 concentration at each point in the space relative to the reference point, the CO2 concentration distribution of the entire space is depicted using drawing software and three-dimensional modeling technology, making it easier to intuitively understand the CO2 concentration distribution;

[0034] (4) For each grid, continue to set measurement points at equal intervals in the three dimensions of length, width, and height, and further divide the grid into a number of rectangular measurement elements. Perform nested division to improve measurement accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0036] Figure 1 It is a schematic diagram of the process of the high-density gridding CO2 concentration spatiotemporal distribution depiction and total carbon emission measurement method of the present invention;

[0037] Figure 2 Schematic diagram of CO2 concentration distribution under passive conditions of the present invention;

[0038] Figure 3 Schematic diagram of CO2 concentration distribution under active conditions of the present invention;

[0039] Figure 4 It is a structural schematic diagram of the high-density grid-based CO2 concentration spatiotemporal distribution depiction and carbon emission total amount measurement device of the present invention;

[0040] Figure 5 It is a schematic diagram of the structure of the terminal device of the present invention;

[0041] Figure 6 A schematic diagram of the sensor grid distribution and measurement sequence of the present invention;

[0042] Figure 7 A schematic diagram of establishing coordinate axes for the sensor grid distribution of the present invention.

[0043] Explanation of reference numerals: 100 - grid division module, 200 - data acquisition module, 300 - total carbon emission calculation module. DETAILED DESCRIPTION

[0044] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] The first embodiment of the present invention refers to Figure 1 As shown in the figure, a high-density gridded CO2 concentration spatiotemporal distribution description and carbon emission total amount measurement method is proposed, including the following steps:

[0046] Step S1: setting measurement points at equal intervals in the rectangular area to be measured along the x-axis, y-axis and z-axis, and the measurement points divide the area to be measured into a grid of several small rectangular blocks;

[0047] Step S2: Obtaining CO2 concentration data measured by the sensor at each measuring point;

[0048] Step S3: Calculate the total carbon emissions and average CO2 concentration of each grid based on the CO2 concentration data measured at each measurement point. The total carbon emissions calculation formula is:

[0049] G = ∫ρ(x, y, z)dV;

[0050] In the formula, ρ x , y , z is the CO2 concentration measured along the x, y, and z axes of the small cuboid, and dV is the volume calculus unit of the small cuboid;

[0051] Divide the total carbon emissions of the grid by the volume of the grid to get the average CO2 concentration of the grid;

[0052] Step S4: depicting the spatiotemporal distribution of CO2 concentration in the area to be measured based on the average CO2 concentration of each grid;

[0053] Step S5: Calculate the total carbon emissions of the area to be measured based on the total carbon emissions of each grid;

[0054] In step S5, the average CO2 concentration of the area to be measured may also be calculated. The average CO2 concentration of the area to be measured may be obtained by summing up the average CO2 concentration of each grid and averaging the sum.

[0055] It should be noted that a large number of measurement points are set in the three dimensions of length, width and height of a certain space to perform high-density measurements. The measurement points cover almost all areas in the space, including corners, edges and any possible blind spots, and each dimension of the space is divided into multiple small cuboids; the CO2 concentration sensor used has high precision and collects data at a high frequency. The measurement frequency is adjustable (the measurement frequency of the present invention is set to once every 1s, but is not limited to this value), and the sensor can monitor the CO2 concentration continuously for a long time; the CO2 concentration data has multiple dimensions, including time, spatial position and concentration value, forming a high-dimensional data set; in addition to monitoring the CO2 concentration, other environmental parameters (such as temperature and humidity) are also monitored to consider the impact of environmental factors on the CO2 concentration; as people flow or activities change in the space, the CO2 concentration sensor can update the measurement data in real time.

[0056] The high-density gridded CO2 concentration spatiotemporal distribution depiction and total carbon emission measurement method proposed in the embodiment of the present invention, by setting measurement points at equal intervals in the measured area of ​​the rectangular parallelepiped along the three dimensions of x-axis, y-axis and z-axis, the total carbon emission of each grid is calculated according to the CO2 concentration data measured at each measurement point, and a measurement method from point to surface, from surface to volume is adopted, avoiding the rough measurement of CO2 concentration of all points in the entire space, which not only ensures the measurement accuracy but also saves the manpower and funds of the measurement; the measurement space is also limited, and the change of the total amount of CO2 in the space can be obtained by multiplying the density of CO2 by the volume and real-time monitoring, thereby realizing quantitative monitoring of CO2.

[0057] In some embodiments, in step S1, the measuring points are set at equal intervals in the rectangular area to be measured along the three dimensions of x-axis, y-axis and z-axis, specifically including: taking any point in space as a reference point and setting the measuring points, forming a rectangular area to be measured from the reference point along the three dimensions of length, width and height, and setting the measuring points at equal intervals from the reference point along the three dimensions of x-axis, y-axis and z-axis.

[0058] In some embodiments, the setting of measuring points at equal intervals along the three dimensions of the x-axis, the y-axis, and the z-axis specifically includes:

[0059] The distance between two adjacent measurement points in the same dimension is the same, and the distance between two adjacent measurement points in different dimensions is the same or different.

[0060] In some embodiments, the method further includes: calculating the CO2 concentration at any position in each grid according to the CO2 concentration data measured at each measuring point, specifically including: assuming the CO2 concentration at the reference point to be the reference concentration ρ o , according to the CO2 concentration data measured at each measurement point, the concentration change rate of a certain point (x, y, z) in the grid relative to the reference point is obtained:

[0061] H=h x ×h y ×h z ;

[0062] Where H is the rate of change of the CO2 concentration at point (x, y, z) relative to the CO2 concentration at the reference point, h x h is the rate of change of the CO2 concentration at point (x,0,0) relative to the CO2 concentration at the reference point, y h is the rate of change of the CO2 concentration at point (0,y,0) relative to the CO2 concentration at the reference point, z is the rate of change of the CO2 concentration at point (0,0,z) relative to the CO2 concentration at the reference point;

[0063] The calculation formula for the CO2 concentration at any position (x, y, z) is:

[0064] ρ=ρ0×H;

[0065] Where ρ is the CO2 concentration at any position (x, y, z), and ρ0 is the CO2 concentration at the reference point.

[0066] In some embodiments, three number sequences X are defined a , Y b , Z c , they satisfy:

[0067]

[0068] The integral operation can be transformed into a summation operation:

[0069]

[0070] The total carbon emissions of each small cuboid are calculated, and the average CO2 concentration of each small cuboid is also obtained.

[0071] In some embodiments, it also includes: expressing the rate of change of CO2 concentration at any position in the grid relative to the reference point through color change; converting the measurement data of each measurement point into an intuitive three-dimensional model through three-dimensional visualization technology, depicting the CO2 concentration distribution in the entire area to be measured based on the average CO2 concentration of each grid, considering the influence of environmental factors such as temperature and humidity on CO2 diffusion and concentration distribution, and depicting the CO2 concentration distribution in the entire space. For specific CO2 concentration distribution, please refer to Figure 2 and Figure 3 , Figure 2 shows the CO2 concentration distribution under passive conditions, Figure 3 The CO2 concentration distribution under active conditions is shown. The difference in CO2 concentration at different heights can be seen. There are differences in CO2 concentration at different positions at the same height. The CO2 concentration distribution in the entire space can be intuitively known.

[0072] In some embodiments, the total carbon emissions of the area to be measured are calculated based on the total carbon emissions of each grid, specifically including: obtaining the total carbon emissions of the area to be measured by adding the total carbon emissions of each grid; wherein, when calculating the total carbon emissions of each grid, if the measurement point is at a boundary, the result will be changed to 1 / 2 of the original result; if the measurement point is at the junction of two boundaries, the result will be changed to 1 / 4 of the original result; if the measurement point is at the junction of three boundaries, the result will be changed to 1 / 8 of the original result.

[0073] In some embodiments, after the measurement points divide the area to be measured into a plurality of small rectangular grids, the method further includes: for each grid, continue to set measurement points at equal intervals in the three dimensions of length, width and height, and further divide the grid into a plurality of rectangular measurement micro-elements. For example, in a rectangular space with a length, width and height of 10km, 10km and 4m respectively, the length can be divided into 1km at equal intervals, the width can be divided into 1km at equal intervals, and the height can be divided into 2m at equal intervals, so that the rectangular space is divided into a plurality of rectangular grids with a length, width and height of 1km, 1km and 2m respectively, and the carbon concentration distribution and the total carbon emission in the entire rectangular space are calculated according to the above, and for each grid with a length, width and height of 1km, 1km and 2m respectively, the measurement points can be set at equal intervals in the three dimensions of length, width and height, and further divided into a plurality of small rectangular measurement micro-elements, and the carbon concentration distribution and the total carbon emission in the small rectangular space with a length, width and height of 1km, 1km and 2m respectively are calculated. The choice of nesting or not makes the choice between measurement accuracy and cost more flexible. The nested solution focuses on measurement accuracy, while the non-nested solution focuses more on cost savings.

[0074] In a further embodiment, the CO2 concentration calculation of the outermost layer is specified as the first layer operation, and the CO2 concentration calculation of each small rectangular grid after the first division is specified as the second layer operation. By analogy, when calculating the CO2 concentration of the second layer and above, the distribution density of CO2 measurement points in different rectangular blocks of the same layer may be inconsistent. For example, under the premise that the outermost layer is the same rectangular space, the measurement points in the small rectangular blocks in the second layer operation close to the CO2 emission source can be set more densely, and the measurement points in the small rectangular blocks in the second layer operation far from the CO2 emission source can be sparser. The specific point density depends on the actual situation. The distribution density of CO2 measurement points in different rectangular blocks in the same layer operation can be inconsistent, which makes the control of accuracy and cost more flexible. In areas with large CO2 emissions and large changes, high-density measurement points can be set to ensure accuracy, and in areas with small CO2 emissions and small changes, low-density measurement points can be set to save costs.

[0075] The second embodiment of the present invention refers to Figure 4 As shown, a high-density gridded CO2 concentration spatiotemporal distribution depiction and carbon emission total amount measurement device is proposed, including a grid division module 100, a data acquisition module 200 and a carbon emission total amount calculation module 300, wherein:

[0076] The grid division module 100 is used to divide the area to be measured into a plurality of small rectangular grids and set measurement points at each vertex of the grid;

[0077] The data acquisition module 200 is used to acquire CO2 concentration data measured by the sensor at each measurement point;

[0078] The total carbon emission calculation module 300 is used to calculate the total carbon emission of each grid according to the CO2 concentration measured at each measuring point, and to calculate the total carbon emission of the area to be measured according to the total carbon emission of each grid.

[0079] A third aspect of the present invention is as follows Figure 5 As shown, a terminal device is provided, including a memory and a processor;

[0080] The memory is used to store program code and transmit the program code to the processor; the memory can be an internal storage unit of the terminal device, such as a hard disk or memory. The memory can also be an external storage device of the terminal device, such as an equipped plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. Further, the memory can include an internal storage unit and an external storage device of the terminal device. The memory is used to store computer programs and other programs and data required by the terminal device, and can also be used to temporarily store data that has been output or is to be output;

[0081] The processor is used to execute the high-density gridded CO2 concentration spatiotemporal distribution depiction and carbon emission total amount measurement method described in the first aspect embodiment according to the instructions in the program code. The processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate circuits or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0082] When necessary, the computer program can be divided into one or more modules / units, which are stored in a memory and executed by a processor to implement the functions of the present application. Each module / unit may include a series of computer program instruction segments for describing the execution process of the computer program in a terminal device. The terminal device may be a computing device such as a desktop computer, a laptop computer, a PDA, a cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory. Those skilled in the art should understand that the description of these devices is not a limitation on the terminal device, and the terminal device may include more or fewer components than shown in the figure, or combine certain components, or use different components. For example, the terminal device may also include input and output devices, network access devices, and buses, etc.

[0083] The preferred embodiment of this method is described in detail below in conjunction with experimental data:

[0084] This embodiment includes two implementation stages:

[0085] The first stage is to measure the CO2 concentration in a certain space without introducing carbon emission sources:

[0086] Open windows in a certain space (room) for ventilation for about 15 minutes. After the CO2 concentration stabilizes, collect CO2 concentration data at multiple points in the target area. At the same time, record relevant environmental parameters (such as temperature, humidity, wind speed, etc.).

[0087] Based on the above ventilation conditions, the target area is defined as a 4*4 grid (3.6m*3.6m), please refer to Figure 6 The CO2 concentration data of multiple points on the grid are measured in sequence. At the same time, the longitudinal measurement interval is set to 1m, and the CO2 concentration data at 0m, 1m, and 2m above the ground are measured respectively, and each height is measured three times.

[0088] See also Figure 7 , set the lower left corner point as the coordinate origin and establish the coordinate axis.

[0089] The measured CO2 concentration data is processed to obtain the concentration data of each grid edge length:

[0090] First measurement:

[0091]

[0092] Table 1.1 (First measurement) Passive 3.6m*3.6m*2m 0.1m above the ground concentration

[0093]

[0094] Table 1.2 (First measurement) Passive 3.6m*3.6m*2m 1m above the ground concentration

[0095]

[0096] Table 1.3 (first measurement) passive 3.6m*3.6m*2m 2m above the ground concentration second measurement:

[0097]

[0098] Table 2.1 (Second measurement) Passive 3.6m*3.6m*2m 0.1m above the ground concentration

[0099]

[0100] Table 2.2 (Second measurement) Passive 3.6m*3.6m*2m 1m above the ground concentration

[0101] Table 2.3 (Second measurement) Passive 3.6m*3.6m*2m 2m above the ground concentration third measurement:

[0102]

[0103] Table 3.1 (third measurement) passive 3.6m*3.6m*2m 0.1m above the ground concentration

[0104]

[0105] Table 3.2 (third measurement) passive 3.6m*3.6m*2m 1m above the ground concentration

[0106]

[0107] Table 3.3 (Third measurement) Passive 3.6m*3.6m*2m 2m above the ground concentration

[0108] The calculation results show that the average CO2 concentration in the passive space obtained from three measurements are 1238.11ppm, 1222.74ppm, and 1204.20ppm, with an average value of 1221.68ppm.

[0109] The second stage is to measure the CO2 concentration when a carbon emission source is introduced into a certain space:

[0110] According to relevant information, the standard indoor CO2 concentration is about 1000ppm. For a space of 3.6m*3.6m*2m, it is equivalent to containing 25.92L of CO2 gas. Therefore, when 15L of CO2 gas is emitted, the CO2 concentration increases by about 57.9%, and a significant change in CO2 concentration can be observed.

[0111] Therefore, after emitting 15L of CO2 gas in a certain space (room), the person measuring wears a mask (to reduce the impact of CO2 produced by human breathing) and presses Figure 1 The measurements were carried out in sequence, with the longitudinal measurement interval set to 1m, and the CO2 concentration data at 0m, 1m, and 2m above the ground were measured respectively, with each height measured three times; considering that the height of 0.1 meter above the ground is closer to the carbon emission source and the CO2 concentration varies greatly, in order to calculate the results more accurately, more measurement points were taken in each direction at a height of 0.1 meter above the ground.

[0112] Set the lower left corner point as the coordinate origin, establish the coordinate axis, process the measured CO2 concentration data, and obtain the concentration data of each grid side length:

[0113] First measurement:

[0114]

[0115] Table 4.1 (First measurement) Active 3.6m*3.6m*2m 0.1m above the ground concentration

[0116]

[0117] Table 4.2 (First measurement) Active 3.6m*3.6m*2m 1m above the ground concentration

[0118]

[0119] Table 4.3 (First measurement) Active 3.6m*3.6m*2m 2m above the ground Concentration Second measurement

[0120]

[0121] Table 5.1 (Second measurement) Active 3.6m*3.6m*2m 0.1m above the ground concentration

[0122]

[0123] Table 5.2 (Second measurement) Active 3.6m*3.6m*2m 1m above the ground concentration

[0124]

[0125] Table 5.3 (Second measurement) Active 3.6m*3.6m*2m 2m above the ground Concentration third measurement

[0126]

[0127] Table 6.1 (Third measurement) Active 3.6m*3.6m*2m 0.1m above the ground concentration

[0128]

[0129] Table 6.2 (Third measurement) Active 3.6m*3.6m*2m 1m above the ground concentration

[0130]

[0131] Table 6.3 (Third measurement) Active 3.6m*3.6m*2m 2m above the ground concentration

[0132] After arranging the data, according to the method for calculating the average CO2 concentration of claim 5, it is calculated that the average CO2 concentrations in the entire space obtained by three measurements in the active space are 1524.20ppm, 1480.33ppm, and 1492.92ppm, respectively, with an average value of 1499.15ppm.

[0133] The difference in average CO2 concentration between active and passive spaces is 277.47ppm. That is, the volume of CO2 changes by 0.27747*3.6*3.6*2L≈7.19L. Considering that the volume of a certain space (room) is about 50m 3 , the measured CO2 volume change should be 7.19 / (3.6*3.6*2 / 50)=13.86L;

[0134] At the beginning of the experiment, 15L of CO2 gas was filled into the space, so the measurement error was 7.6%, which was within 10% and met the prediction standard.

[0135] The following is an example of the calculation of CO2 concentration at any position in each layer and the calculation of the total CO2 concentration, combined with specific experimental data:

[0136] After obtaining the raw data of CO2 concentration of each layer, the raw data of CO2 concentration is shown in Table 7:

[0137]

[0138] Table 7

[0139] The horizontal and vertical directions are divided by the concentration of the reference point of each layer to obtain the horizontal and vertical change rates, as shown in Table 8:

[0140]

[0141] Table 8

[0142] Then multiply the change rate in each horizontal direction by the change rate in the vertical direction to obtain the change rate at each intersection, as shown in Table 9:

[0143]

[0144] Table 9

[0145] Assume that the measurement range is a cuboid with a length and width of 4 meters and a height of 2 meters. Five points are measured in the X direction, which can be divided into 4 equal parts; five points are measured in the Y direction, which can be divided into 4 equal parts, and the Z direction is divided into 3 layers, which can be divided into 2 equal parts. Then the original volume is 4*4*2=32m 3 The cuboid is divided into 32 blocks of 1m 3 The concentration change rate of all intersection points is multiplied by the volume and then by the concentration of each reference point to obtain the CO2 concentration of each point in each layer as follows (unit: cm 3 ), see Table 10:

[0146]

[0147] Table 10

[0148] Considering that part of dV will be outside the space at the boundary, it should be removed, that is, the data of the four corners of each layer in Table 10 needs to be multiplied by 1 / 8, the part around each layer excluding the four corners needs to be multiplied by 1 / 4, and the remaining part needs to be multiplied by 1 / 2. The final data is shown in Table 11:

[0149]

[0150] Table 11

[0151] Finally, it was calculated that the total CO2 content in the area to be measured should be 37.8376L, and the average CO2 concentration should be 1182ppm.

[0152] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A high-density gridded CO2 concentration spatiotemporal distribution depiction and carbon emission total amount measurement method, characterized in that: The following steps are involved: Measuring points are set at equal intervals in the rectangular area to be measured along the x-axis, y-axis and z-axis, and the measuring points divide the area to be measured into a grid of several small rectangular blocks; Obtain the CO2 concentration data measured by the sensor at each measurement point; The total carbon emissions and average CO2 concentration of each grid are calculated based on the CO2 concentration data measured at each measurement point. The total carbon emissions calculation formula is: G = ∫ρ(x, y, z) dB; In the formula, ρ x , y , z is the CO2 concentration measured along the x, y, and z axes of the small cuboid, and dV is the volume calculus unit of the small cuboid; Describe the spatiotemporal distribution of CO2 concentration in the measurement area based on the average CO2 concentration of each grid; The total carbon emissions of the area to be measured are calculated based on the total carbon emissions of each grid.

2. The high-density gridded CO2 concentration spatiotemporal distribution depiction and carbon emission total amount measurement method according to claim 1, characterized in that: The method of setting measuring points at equal intervals along the x-axis, y-axis and z-axis in the rectangular parallelepiped area to be measured specifically includes: A point in space is randomly selected as a reference point and a measuring point is set. A rectangular area to be measured is formed from the reference point along the length, width and height dimensions. The measuring points are evenly spaced from the reference point along the x-axis, y-axis and z-axis dimensions.

3. The high-density gridded CO2 concentration spatiotemporal distribution depiction and carbon emission total amount measurement method as claimed in claim 2, characterized in that: The method of setting the measurement points at equal intervals along the three dimensions of the x-axis, the y-axis and the z-axis specifically includes: The distance between two adjacent measurement points in the same dimension is the same, and the distance between two adjacent measurement points in different dimensions is the same or different.

4. The high-density gridded CO2 concentration spatiotemporal distribution depiction and carbon emission total amount measurement method as claimed in claim 1, characterized in that: Also includes: The CO2 concentration at any position in each grid is calculated based on the CO2 concentration data measured at each measurement point, specifically including: assuming the CO2 concentration at the reference point to be the reference concentration ρ o , according to the CO2 concentration data measured at each measurement point, the concentration change rate of a certain point (x, y, z) in the grid relative to the reference point is obtained: H=h x ×h y ×h z ; Where H is the rate of change of the CO2 concentration at point (x, y, z) relative to the CO2 concentration at the reference point, h x h is the rate of change of the CO2 concentration at point (x,0,0) relative to the CO2 concentration at the reference point, y h is the rate of change of the CO2 concentration at point (0,y,0) relative to the CO2 concentration at the reference point, z is the rate of change of the CO2 concentration at point (0,0,z) relative to the CO2 concentration at the reference point; The calculation formula for the CO2 concentration at any position (x, y, z) is: ρ=ρ0×H; Where ρ is the CO2 concentration at any position (x, y, z), and ρ0 is the CO2 concentration at the reference point.

5. The high-density gridding method for describing the spatiotemporal distribution of CO2 concentration and measuring the total amount of carbon emissions as claimed in claim 4, characterized in that: The average CO2 concentration of each grid includes: dividing the value of the total carbon emissions of the grid by the volume of the grid to obtain the average CO2 concentration of the grid.

6. The high-density gridded CO2 concentration spatiotemporal distribution depiction and carbon emission total amount measurement method as claimed in claim 5, characterized in that: Also includes: The color change indicates the rate of change of CO2 concentration at any position within the grid relative to the reference point.

7. The high-density gridded CO2 concentration spatiotemporal distribution depiction and carbon emission total amount measurement method as claimed in claim 5, characterized in that: The description of the spatiotemporal distribution of CO2 concentration in the area to be measured based on the average CO2 concentration of each grid includes: converting the average CO2 concentration of each grid into an intuitive three-dimensional model through three-dimensional visualization technology to depict the CO2 concentration distribution in the entire area to be measured.

8. The high-density gridded CO2 concentration spatiotemporal distribution depiction and carbon emission total amount measurement method as claimed in claim 1, characterized in that: After the average CO2 concentration of each grid in the area to be measured is obtained, the method further includes: calculating the average CO2 concentration of each grid by summing up the average CO2 concentration and then averaging it, so as to obtain the average CO2 concentration of the area to be measured.

9. The high-density gridding method for depicting the spatiotemporal distribution of CO2 concentration and measuring the total amount of carbon emissions according to any one of claims 1 to 8, characterized in that: The total carbon emissions of the area to be measured are calculated based on the total carbon emissions of each grid, specifically including: the total carbon emissions of the area to be measured are obtained by adding the total carbon emissions of each grid; wherein, when calculating the total carbon emissions of each grid, if the measuring point is at a boundary, the result will be changed to 1 / 2 of the original; if the measuring point is at the junction of two boundaries, the result will be changed to 1 / 4 of the original; if the measuring point is at the junction of three boundaries, the result will be changed to 1 / 8 of the original.

10. The high-density gridding method for depicting the spatiotemporal distribution of CO2 concentration and measuring the total amount of carbon emissions according to any one of claims 1 to 8, characterized in that: After the measuring points divide the area to be measured into a plurality of small rectangular grids, the method further includes: for each grid, continuing to set measuring points at equal intervals in the three dimensions of length, width and height, and further dividing the grid into a plurality of rectangular measurement micro-elements.

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