Odor concentration evaluation method and system and storage medium

Abstract

The invention provides an odor concentration evaluation method and system and a storage medium, and the method comprises the steps: constructing an initial three-dimensional space model of an area where an emission point and a sensitive point are located, and carrying out the mesh generation of the three-dimensional space model, and obtaining a mesh three-dimensional space model; encrypting the grid three-dimensional space model to obtain an encrypted three-dimensional space model; obtaining initial meteorological information of the region, and reanalyzing the initial meteorological information to determine encrypted grid meteorological information of each grid in the encrypted three-dimensional space model; acquiring emission odor information of the emission point, and processing the emission odor information by using a preset three-dimensional Euler mesh model to obtain odor diffusion information; obtaining actual odor information of the sensitive points based on the odor diffusion information, the encrypted grid meteorological information and a preset chemical equation; and generating an adjusting signal according to the actual odor information and the preset concentration information. According to the application, the diffusion concentration of complex gases such as odor can be evaluated, and the emission information at the emission source can be accurately analyzed according to the concentration of the set sensitive point.

Description

Technical Field

[0001] The present application relates to the technical field of odor assessment, and in particular to an odor concentration assessment method, system and storage medium. Background Art

[0002] Odor-smelling gases are usually formed by a mixture of multiple volatile organic gases with foul odors, which can stimulate the human olfactory organs and cause unpleasant sensations such as nausea. In order to reduce the unpleasant sensation caused by odor-smelling gases to the human body, it is necessary to evaluate the odor-smelling gases at the location of the human body, so as to guide the emission of odor-smelling gases at the emission point of odor-smelling gases based on the evaluation results.

[0003] At present, the atmospheric diffusion model based on Gaussian point source diffusion theory is mainly used to carry out diffusion assessment of gas or particulate matter for single substance emitted by pollution sources. However, odorous and foul-smelling gases are not composed of a single substance, but a variety of substances, and usually have certain chemical reactivity, which can react with oxides in the atmospheric environment, causing foreign matter and foul-smelling gases to be affected by the diffusion process and environmental factors during the diffusion process. Therefore, the existing methods cannot meet the diffusion concentration assessment of complex gases such as odorous and foul-smelling gases, nor can they accurately analyze the emission information at the emission source according to the concentration of the set sensitive points. Summary of the invention

[0004] In order to evaluate the diffusion concentration of complex gases such as odorous and foul-smelling gases and to facilitate accurate analysis of emission information at emission sources based on the concentration of set sensitive points, the embodiments of the present application provide an odor concentration evaluation method, system and storage medium.

[0005] In a first aspect, this embodiment provides a method for evaluating odor concentration, the method comprising: Constructing an initial three-dimensional space model of the area where the emission points and sensitive points are located, and meshing the three-dimensional space model to obtain a mesh three-dimensional space model; Encrypting the grid three-dimensional space model based on the emission points and the sensitive points to obtain an encrypted three-dimensional space model; Acquire initial meteorological information of the area, and reanalyze the initial meteorological information to determine the encrypted grid meteorological information corresponding to each grid in the encrypted three-dimensional space model; Acquiring emission odor information of the emission point, and processing the emission odor information using a preset three-dimensional Euler grid model to obtain odor diffusion information; Based on the odor diffusion information, the encrypted grid meteorological information and a preset chemical equation, the actual odor information of the sensitive point is obtained; An adjustment signal for adjusting the odor discharged at the discharge point is generated according to the actual odor information and the preset concentration information.

[0006] In some embodiments, encrypting the grid three-dimensional space model based on the emission points and the sensitive points includes: Determining an emission three-dimensional space model corresponding to the emission point in the grid three-dimensional space model based on the emission point, and determining a sensitive three-dimensional space model corresponding to the sensitive point in the grid three-dimensional space model based on the sensitive point; Encrypting the sensitive three-dimensional space model once to obtain an encrypted sensitive three-dimensional space model, and encrypting the emission three-dimensional space model twice to obtain an encrypted emission three-dimensional space model; The sensitive three-dimensional space model is replaced by the encrypted sensitive three-dimensional space model, and the emission three-dimensional space model is replaced by the encrypted emission three-dimensional space model.

[0007] In some embodiments, the initial meteorological information includes initial meteorological parameters of several attributes, the encrypted grid meteorological information includes encrypted grid sub-meteorological parameters of several attributes, and the reanalyzing the initial meteorological information includes: The initial meteorological parameters of each attribute are respectively divided according to the grids in the encrypted three-dimensional space model to obtain the initial grid meteorological parameters corresponding to the attribute for each grid; The average value of the initial grid meteorological parameter for the same attribute of each grid is calculated respectively to obtain the encrypted network sub-meteorological parameter of the grid with respect to the attribute.

[0008] In some embodiments, the odor diffusion information includes a plurality of odor diffusion sub-information, and the using a preset three-dimensional Euler mesh model to process the emission odor information includes: The emission point is used as a diffusion reference point, and the emission odor information is substituted into the preset three-dimensional Euler network model to perform mass exchange between the grid where the diffusion reference point is located and the next level adjacent grid of the grid, so as to determine the odor diffusion sub-information at the next level adjacent grid; Each time the odor diffusion sub-information is obtained, it is determined whether the grid corresponding to the odor diffusion sub-information is the grid where the sensitive point is located. If so, a stop signal is generated to indicate that the preset three-dimensional Euler grid model is stopped for processing the odor emission information. If not, based on the odor diffusion sub-information, the encrypted grid meteorological information and the preset chemical equation, the grid odor information of the grid corresponding to the odor diffusion sub-information is obtained, the next-level adjacent grid is determined as the grid where the new diffusion reference point is located, and the odor diffusion sub-information is substituted into the preset three-dimensional Euler network model to exchange mass between the grid where the odor diffusion sub-information is located and the next-level adjacent grid of the grid, so as to determine the odor diffusion sub-information at the next-level adjacent grid.

[0009] In some embodiments, the mass exchange between the grid where the diffusion reference point is located and the next level adjacent grid of the grid includes: Determine whether the next-level adjacent grid is occupied by a physical building, and if so, perform a blank mass exchange between the grid where the diffusion reference point is located and the next-level adjacent grid of the grid; If not, the mass exchange between the faces of the grid where the diffusion reference point is located and the next level adjacent grid of the grid is performed.

[0010] In some embodiments, the actual odor information of the sensitive point is obtained based on the odor diffusion information, the encrypted grid meteorological information and a preset chemical equation, including: determining a target chemical equation from the preset chemical equation based on the odor diffusion information; Each time a piece of odor diffusion sub-information is obtained, a target encrypted grid sub-meteorological parameter corresponding to the odor diffusion sub-information is determined from the encrypted grid meteorological information, and the target encrypted grid meteorological parameter and the odor diffusion sub-information are substituted into the target chemical equation to obtain the grid odor information of the grid corresponding to the odor diffusion sub-information; and determining whether the grid corresponding to the odor diffusion sub-information is the grid where the sensitive point is located, and if so, determining the grid odor information as the actual odor information; If not, continue to wait for the next odor diffusion sub-information.

[0011] In some embodiments, constructing an initial three-dimensional spatial model of the area where the emission points and sensitive points are located includes: Obtain the geographical location information of buildings in the areas where emission points and sensitive points are located, the emission geographical location information of emission points, the sensitive geographical location information and spatial distribution information of sensitive points; A three-dimensional coordinate system is established with the emission point as the coordinate origin, and based on the building geographic location information, the emission geographic location information, the sensitive geographic location information and the spatial distribution information, the spatial relationship between the building, the emission point, the sensitive point and the ground height in the three-dimensional coordinate system is determined.

[0012] In some embodiments, the adjustment signal includes a first adjustment signal and a second adjustment signal, and the generating of the adjustment signal for the user to adjust the odor emission at the emission point according to the actual odor information and the preset concentration information includes: Determining whether the actual odor information satisfies the preset concentration information, and if so, generating a first adjustment signal indicating that no adjustment is required for the odor emitted from the emission point; If not, obtaining a concentration information difference between the actual odor information and the preset concentration information, and generating an emission substance of the odor and an emission amount corresponding to the emission substance according to the concentration information difference; A second adjustment signal is generated based on the exhaust substance and the exhaust amount.

[0013] In a second aspect, this embodiment provides an odor concentration assessment system, the system comprising: a model building module, a model processing module, a meteorological processing module and an odor assessment module; wherein: The model building module is used to build an initial three-dimensional space model of the area where the emission points and sensitive points are located, and to grid the three-dimensional space model to obtain a grid three-dimensional space model; The model processing module is used to mesh the three-dimensional space model to obtain a mesh three-dimensional space model; encrypt the mesh three-dimensional space model based on the emission points and the sensitive points to obtain an encrypted three-dimensional space model; The meteorological processing module is used to obtain initial meteorological information of the area and reanalyze the initial meteorological information to determine the encrypted grid meteorological information corresponding to each grid in the encrypted three-dimensional space model; The odor assessment module is used to obtain the emission odor information of the emission point, and use a preset three-dimensional Euler grid model to process the emission odor information to obtain odor diffusion information; based on the odor diffusion information, the encrypted grid meteorological information and a preset chemical equation, to obtain the actual odor information of the sensitive point; and generate an adjustment signal for adjusting the emission odor at the emission point according to the actual odor information and preset concentration information.

[0014] In a third aspect, this embodiment provides a computer-readable storage medium having stored thereon a computer program that can be run on a processor, and when the computer program is executed by the processor, an odor concentration assessment method as described in the first aspect is implemented.

[0015] By adopting the above method, the present application constructs an initial three-dimensional space model of the area where the emission points and sensitive points are located, and grids the three-dimensional space model to obtain a grid three-dimensional space model. The grid three-dimensional space model takes into account the impact of the buildings on the odor emission process. Then the grid three-dimensional space model is encrypted based on the emission points and sensitive points to obtain an encrypted three-dimensional space model. The initial meteorological information of the area is obtained, and the initial meteorological information is re-analyzed to determine the encrypted grid meteorological information corresponding to each grid in the encrypted three-dimensional space model. To obtain more accurate meteorological information in each grid, detailed meteorological information can be provided for the subsequent more accurate concentration of odor in each grid. After all, odor is easily affected by meteorological information in the environment during the diffusion process.

[0016] Then, the emission odor information of the emission point is obtained, and the emission odor information is processed using the preset three-dimensional Euler grid model to obtain the odor diffusion information; based on the odor diffusion information, the encrypted grid meteorological information and the preset chemical equation, the actual odor information of the sensitive point is obtained. In this way, compared with the Gaussian model, by using the Euler network model to simulate the odor diffusion process and achieve mass exchange between surfaces, the odor diffusion process can be simulated more accurately. On the other hand, in the odor emission process, not only the diffusion of the odor itself is considered, but also the chemical reactions occurring during the diffusion process, the interactions between different emission substances, and the influence of meteorological factors and care on the odor concentration, so that the final result of the odor concentration assessment at the sensitive point is relatively more accurate.

[0017] Finally, an adjustment signal for adjusting the odor emission at the emission point is generated based on the actual odor information and the preset concentration information. The emission combination and emission rate combination that can meet the odor concentration limit requirements of the emission point are calculated and given through the requirements of multiple sensitive points. This allows the diffusion concentration of complex gases such as odorous gases to be evaluated, making it easier to accurately analyze the emission information at the emission source based on the concentration of the set sensitive points. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a block diagram of an odor concentration assessment method provided in an embodiment of the present application.

[0019] Figure 2 It is a two-dimensional plane schematic diagram of the encrypted three-dimensional space model provided in an embodiment of the present application.

[0020] Figure 3 It is a block diagram of using a preset three-dimensional Euler grid model to process emission odor information to obtain odor diffusion information provided by an embodiment of the present application.

[0021] Figure 4It is a block diagram of actual odor information of sensitive points obtained based on odor diffusion information, encrypted grid meteorological information and preset equations provided in an embodiment of the present application.

[0022] Figure 5 It is a schematic flow chart of a method for evaluating odor concentration provided in an embodiment of the present application.

[0023] Figure 6 This is a framework diagram of an odor concentration assessment system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] In order to more clearly understand the purpose, technical solutions and advantages of the present application, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments. However, it should be understood by those of ordinary skill in the art that the present application can be implemented without these details. For those of ordinary skill in the art, it is obvious that various changes can be made to the embodiments disclosed in the present application, and without departing from the principles and scope of the present application, the general principles defined in the present application can be applied to other embodiments and application scenarios. Therefore, the present application is not limited to the embodiments shown, but conforms to the broadest scope consistent with the scope claimed for protection in the present application.

[0025] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0026] Figure 1 This is a block diagram of an odor concentration assessment method provided in an embodiment of the present application. Figure 1 As shown, a method for evaluating odor concentration includes the following steps: Step S100, constructing an initial three-dimensional space model of the area where the emission points and sensitive points are located, and meshing the three-dimensional space model to obtain a mesh three-dimensional space model.

[0027] The above-mentioned emission points refer to the places where odor is emitted, and the sensitive points are set by humans according to the actual situation. Specifically, they can be residential buildings, parks and other places where people live and move around. Since odor can spread to other places in three-dimensional space and have an impact, and the spatial distribution of the area will block the spread of odor during the diffusion process. Therefore, when evaluating the odor concentration at sensitive points, it is necessary to first construct an initial three-dimensional spatial model of the emission points and the areas where the sensitive points are located. Among them, constructing the initial three-dimensional spatial model of the areas where the emission points and sensitive points are located includes the following steps: Step S101, obtaining geographical location information of buildings in the areas where emission points and sensitive points are located, emission geographical location information of emission points, and sensitive geographical location information and spatial distribution information of sensitive points.

[0028] Step S102, establish a three-dimensional coordinate system with the emission point as the coordinate origin, and determine the spatial relationship between the building, emission point, sensitive point and ground height in the three-dimensional coordinate system based on the building geographic location information, emission geographic location information, sensitive geographic location information and spatial distribution information.

[0029] The initial three-dimensional spatial model is not a three-dimensional geometric spatial model, but a spatial relationship between a building, an emission point, a sensitive point and the ground height. The area where the emission point and the sensitive point are located refers to a two-dimensional area containing the emission point and the sensitive point. The above-mentioned building geographic location information includes the building size and the coordinate value in the world coordinate system. The emission geographic location information includes the emission facility size and the coordinate value in the world coordinate system. The sensitive geographic location information includes the size of the device corresponding to the sensitive point and the coordinate value of the sensitive point in the world coordinate system. The spatial distribution information is the distribution of buildings in space.

[0030] By taking the emission point as the origin of the coordinates, the vertical direction as the Z axis, and a certain direction in the horizontal direction as the X axis, a three-dimensional coordinate system with the emission point as the origin of the coordinates is determined. Then the building geographic location information, sensitive geographic location information and spatial distribution information are substituted into the three-dimensional coordinate system to obtain the spatial relationship between the building, emission point, sensitive point and ground height in the three-dimensional coordinate system, that is, the initial three-dimensional spatial model of the area where the emission point and sensitive point are located.

[0031] After the initial three-dimensional space model is obtained, the two-dimensional area corresponding to the XY plane of the initial three-dimensional space model can be divided into two-dimensional grids by using ArcGIS geographic information software, and then the height layer grids are divided according to the height of the building. The division rule is based on the maximum height of the building, so that the building is covered by at least two height layers, and the grids occupied by the building will be marked. For example, the maximum height of the simulated building is 10 meters, that is, the height of the simulated emission point is 10 meters, and the height layer close to the surface is divided with a maximum height of 5 meters, and the grids occupied by the building are marked at the same time. In this way, according to the shape and outline of the actual building, the change of odor concentration caused by building obstruction or terrain during the diffusion process can be simulated.

[0032] In addition, the height layers above the building adopt the principle of gradient encryption, starting from 10 meters and increasing by two times, with the maximum simulated height of 2000 meters. The main form of gridding the three-dimensional space model here is to construct a three-dimensional matrix (X, Y, Z), where X, Y, and Z correspond to the coordinates of the origin of the coordinate system. Since the space above the maximum height of the building becomes less and less sensitive to odor as the height gradually increases, the gradient encryption division method can be used to obtain the grid three-dimensional space model at a low computational cost.

[0033] Step S200: encrypting the grid three-dimensional space model based on the emission points and the sensitive points to obtain an encrypted three-dimensional space model.

[0034] Since the process of odor diffusion from the emission point to the sensitive point is a process in which the odor concentration changes greatly, in order to more accurately obtain the concentration of odor in each grid later, it is necessary to encrypt the grid three-dimensional space model obtained in the above step S100 to obtain an encrypted three-dimensional space model. Among them, encrypting the grid three-dimensional space model based on the emission point and the sensitive point includes the following steps: Step S201, determining the emission three-dimensional space model corresponding to the emission point in the grid three-dimensional space model based on the emission point, and determining the sensitive three-dimensional space model corresponding to the sensitive point in the grid three-dimensional space model based on the sensitive point.

[0035] Step S202: encrypt the sensitive three-dimensional space model once to obtain an encrypted sensitive three-dimensional space model, and encrypt the emission three-dimensional space model twice to obtain an encrypted emission three-dimensional space model.

[0036] Step S203: replacing the sensitive three-dimensional space model with the encrypted sensitive three-dimensional space model, and replacing the emission three-dimensional space model with the encrypted emission three-dimensional space model.

[0037] The grid three-dimensional space model includes an emission three-dimensional space model, a sensitive three-dimensional space model and other three-dimensional space models. Among them, the sensitive three-dimensional space model refers to the three-dimensional space model of the grid three-dimensional space model that is composed of all sensitive points to form a regular space. The emission three-dimensional space model refers to the three-dimensional space model of the grid three-dimensional space model that is composed of emission points to form a regular space. The emission three-dimensional space model and the sensitive three-dimensional space model can be determined in the grid three-dimensional space model by means of frame lines.

[0038] Then, meshing is performed in the sensitive three-dimensional space model to perform a first encryption of the sensitive three-dimensional space model, and the emission three-dimensional space model is encrypted for the first time to obtain an encrypted sensitive three-dimensional space model and a first encrypted emission three-dimensional space model. Then, meshing is performed again in the first encrypted emission three-dimensional space model to perform a second encryption of the emission three-dimensional space model, thereby completing the double encryption of the emission three-dimensional space model to obtain an encrypted emission three-dimensional space model. Finally, the encrypted sensitive three-dimensional space model is used to replace the sensitive three-dimensional space model, and the encrypted emission three-dimensional space model is used to replace the encrypted three-dimensional space model, so as to obtain an encrypted three-dimensional space model.

[0039] Figure 2 2 is a two-dimensional schematic diagram of an encrypted three-dimensional space model provided in an embodiment of the present application. Figure 2As shown in the figure, the mesh density of the area formed by the emission points in the encrypted three-dimensional space model is the largest, followed by the mesh surface density of the area formed by the sensitive points, and finally the mesh density of other areas.

[0040] Step S300, obtaining initial meteorological information of the region, and reanalyzing the initial meteorological information to determine the encrypted grid meteorological information corresponding to each grid in the encrypted three-dimensional space model.

[0041] Initial meteorological information refers to meteorological parameters of different attributes in the area. It includes at least one of the following meteorological parameters, such as temperature, humidity, wind speed, wind direction, precipitation, solar radiation intensity, and land cover type. The initial meteorological information of the area can be obtained by checking the relevant detection devices.

[0042] In order to evaluate the odor concentration more accurately, it is necessary to reanalyze the initial meteorological information to obtain more accurate meteorological information in each grid. After all, odor is easily affected by the meteorological information in the environment during diffusion. The initial meteorological information includes several attributes of initial meteorological parameters, and the encrypted grid meteorological information includes several attributes of encrypted grid sub-meteorological parameters. The attributes contained in the initial meteorological information are the same as those contained in the encrypted grid meteorological information. Reanalyzing the initial meteorological information includes the following steps: Step S301 : divide the initial meteorological parameters of each attribute into grids in the encrypted three-dimensional space model to obtain the initial grid meteorological parameters corresponding to the attribute in each grid.

[0043] Step S302, respectively calculate the average value of the initial grid meteorological parameters for the same attribute of each grid to obtain the encrypted grid sub-meteorological parameters of the grid with respect to the attribute.

[0044] Specifically, there are multiple initial meteorological parameters for each attribute. Multiple devices for detecting meteorological parameters are set in the areas where the emission points and sensitive points are located. Each device will obtain an initial meteorological parameter, so that each initial meteorological parameter corresponds to a position. The initial grid meteorological parameters corresponding to each grid for the attribute can be obtained by checking which grid the corresponding position of each initial meteorological parameter for the same attribute falls into.

[0045] If the number of initial meteorological parameters for the same attribute in a grid is greater than one, then the average value of all initial meteorological parameters for the attribute is calculated to obtain the encrypted grid sub-meteorological parameter for the attribute. If the number of initial meteorological parameters for the same attribute is one, then this initial meteorological parameter is determined as the encrypted grid sub-meteorological parameter for the attribute. In this way, the meteorological information of the emission point and sensitive point area is reprocessed and calculated, and the meteorological information corresponding to each grid is obtained, which provides accurate meteorological parameters for the subsequent determination of the concentration of odor in each grid, so as to more accurately determine the concentration of odor in the grid.

[0046] Step S400, obtaining emission odor information of the emission point, and processing the emission odor information using a preset three-dimensional Euler grid model to obtain odor diffusion information.

[0047] The above-mentioned emission odor information refers to the emission substances, emission concentration and emission rate of the emission equipment when emitting odor. Among them, the emission odor information of the emission point can be obtained by checking the working information set for the emission equipment or by the detection equipment set at the emission port. No further limitation is made here on how to obtain the emission odor information of the emission point. The odor diffusion information includes several odor diffusion sub-information. The odor diffusion sub-information refers to each emission substance and the concentration of each emission substance contained in the grid only before the odor diffuses without chemical reaction. Figure 3 This is a block diagram of using a preset three-dimensional Euler grid model to process emission odor information to obtain odor diffusion information provided by an embodiment of the present application. Figure 3 As shown, using the preset three-dimensional Euler grid model to process the emission odor information includes the following steps: Step S401, taking the emission point as a diffusion reference point, substituting the emission odor information into a preset three-dimensional Euler network model, so as to exchange the mass of the grid where the diffusion reference point is located with the next level adjacent grid of the grid, and determine the odor diffusion sub-information at the next level adjacent grid.

[0048] Step S402: Every time the odor diffusion sub-information is obtained, it is determined whether the grid corresponding to the odor diffusion sub-information is the grid where the sensitive point is located. If so, a stop signal is generated to indicate that the preset three-dimensional Euler network is stopped for processing the odor emission information.

[0049] Step S403, if not, based on the odor diffusion sub-information, the encrypted grid meteorological information and the preset chemical equation, to obtain the grid odor information of the grid corresponding to the odor diffusion sub-information, determine the next level adjacent grid as the grid where the new diffusion reference point is located, substitute the grid odor information into the preset three-dimensional Euler grid model, and exchange the mass of the grid where the odor diffusion sub-information is located with the next level adjacent grid of the grid to determine the odor diffusion sub-information at the next level adjacent grid.

[0050] The above-mentioned preset three-dimensional Euler network model can be one of CAMx and CMAQ. Each grid is a cube, including six faces. The preset three-dimensional Euler network model uses the Euler equation to calculate the mass exchange between each face and the adjacent faces. According to the principle that gas diffuses from the center point to the periphery, the outward diffusion trend is used to determine the upper and lower levels of the grid, that is, the closer to the emission point, the higher the level of the grid. Specifically, the grid where the diffusion reference point is located is determined as the initial grid, and the preset three-dimensional Euler grid model is used to calculate the mass exchange of the emission odor information between the initial grid and the next-level adjacent grid of the initial grid, thereby obtaining the odor diffusion sub-information at the next-level adjacent grid of the initial grid.

[0051] After obtaining the odor diffusion sub-information, it is determined whether the grid corresponding to the odor diffusion sub-information is the grid where the sensitive point is located, that is, whether it is necessary to determine the odor diffusion sub-information at the next level of grid, after all, it is necessary to obtain the odor diffusion sub-information at the grid where the sensitive point is located. If the grid corresponding to the odor diffusion sub-information is the grid where the sensitive point is located, then it is not necessary to determine the odor diffusion sub-information at the next level of grid where the sensitive point is located, and a stop signal is generated to stop using the preset three-dimensional Euler grid model to process the odor emission information.

[0052] If the grid corresponding to the odor diffusion sub-information is not the grid where the sensitive point is located, then it is necessary to determine the odor diffusion sub-information at the next level of grid. That is, first find the encrypted grid sub-meteorological information corresponding to the grid from the encrypted grid meteorological information, and find the chemical equation corresponding to the emission substance contained in the odor in the grid from the preset chemical equation, and then calculate the chemical equation to obtain the grid odor information of the grid corresponding to the odor diffusion sub-information. And the most recently obtained next-level adjacent grid is determined as the grid where the new diffusion reference point is located, and the most recently obtained grid odor information is substituted into the preset three-dimensional Euler grid model, and the grid where the odor diffusion sub-information is located is continued to exchange mass with the next-level adjacent grid of the grid, so as to continue to determine the odor diffusion sub-information at the next level of adjacent network. Among them, the grid odor information refers to each emission substance and the concentration of each emission substance contained in the odor after the chemical reaction of the grid. In this way, compared with the Gaussian model, the present application simulates the odor diffusion process by adopting the Euler network model to achieve mass exchange between faces, which can more accurately simulate the odor diffusion process.

[0053] The mass exchange between the grid where the diffusion reference point is located and the grid adjacent to the next level of the grid in the above step S401 includes the following steps: Step S401-1, determine whether the next level adjacent grid is occupied by a physical building, if so, perform blank mass exchange between the grid where the diffusion reference point is located and the next level adjacent grid of the grid.

[0054] Step S401 - 2 : if not, perform mass exchange between the faces of the grid where the diffusion reference point is located and the next level adjacent grid of the grid.

[0055] In the encrypted three-dimensional space model, the grids occupied by buildings will be marked. Therefore, by checking whether the next-level adjacent grid is marked, it can be determined whether the next-level adjacent grid is occupied by a physical building. If the next-level adjacent grid is marked, then this next-level adjacent grid is occupied by a physical building. There will be no gas exchange and transmission in this grid. Then, by exchanging blank mass between the grid where the diffusion reference point is located and the next-level adjacent grid of the grid, the odor expansion sub-information of the next-level adjacent grid of the grid is made zero, that is, the concentration of odor in the next-level adjacent grid of the grid is zero, there is no emission substance, and there is no emission rate.

[0056] If the next-level adjacent grid is not marked, then this next-level adjacent grid is not occupied by a physical building and will diffuse normally, that is, the grid where the diffusion reference point is located and the next-level adjacent grid of the grid will exchange mass between faces. Similarly, in the above step S403, when the odor diffusion sub-information is exchanged between the grid and the next-level adjacent grid of the grid, it is also necessary to determine whether the next-level adjacent grid of the grid is occupied by a physical building. I will not go into details here. In this way, the change in odor concentration caused by building obstruction or terrain during the diffusion process can be simulated according to the shape and outline of the actual building.

[0057] Step S500, based on the odor diffusion information, the encrypted grid meteorological information and the preset chemical equation, to obtain the actual odor information of the sensitive point.

[0058] Figure 4 This is a block diagram of the actual odor information of sensitive points based on odor diffusion information, encrypted grid meteorological information and preset equations provided in the embodiment of the present application. Figure 4 As shown, based on the odor diffusion information, the encrypted grid meteorological information and the preset chemical equation, the actual odor information of the sensitive point is obtained, which includes the following steps: Step S501, determining a target chemical equation from preset chemical equations based on odor diffusion information.

[0059] Step S502, each time an odor diffusion sub-information is obtained, a target encrypted grid sub-meteorological parameter corresponding to the odor diffusion sub-information is determined from the encrypted grid meteorological information, and the target encrypted grid sub-meteorological parameter and the odor diffusion sub-information are substituted into the target chemical equation to obtain the grid odor information of the grid corresponding to the odor diffusion sub-information.

[0060] Step S503, it is determined whether the grid corresponding to the odor diffusion sub-information is the grid where the sensitive point is located, and if so, the grid odor information is determined as the actual odor information.

[0061] Step S504: If not, continue to wait for the next odor diffusion sub-information.

[0062] The preset chemical equation refers to a pre-stored chemical equation that contains all chemical reactions involved in the odor diffusion process. The target chemical equation involved in the chemical reaction is determined by the chemical reaction that will occur in the emission substances in the odor diffusion information during the diffusion process.

[0063] In addition, after each odor diffusion sub-information is obtained in the above step S400, the odor diffusion sub-information and the target encrypted grid meteorological parameters corresponding to the odor diffusion sub-information are substituted into the target chemical equation, so as to obtain the grid odor information of the odor diffusion sub-information in the corresponding grid through calculation of the target chemical equation. The grid odor information refers to each emission substance and the concentration of each emission substance contained in the odor after the chemical reaction of the grid.

[0064] Furthermore, it is checked whether the grid corresponding to the odor diffusion sub-information contains a sensitive point. If so, the grid corresponding to the odor diffusion sub-information is determined to be the grid where the sensitive point is located. If not, the grid corresponding to the odor diffusion sub-information is determined not to be the grid where the sensitive point is located.

[0065] If it is determined that the grid corresponding to the odor diffusion sub-information is not the grid where the sensitive point is located, it means that the actual odor information of the grid where the sensitive point is located has not been obtained. It is necessary to continue to perform step S400 to obtain the odor diffusion sub-information of the next-level adjacent grid, and continue to determine the grid odor information of the next-level adjacent grid until the grid odor information of the grid where the sensitive point is located can be obtained.

[0066] After determining that the grid corresponding to the odor diffusion sub-information is the grid where the sensitive point is located, it can be determined that the odor information of the most recently obtained grid is the actual odor information of the grid where the sensitive point is located, and there is no need to repeat the calculation again. In this way, by considering not only the diffusion of the odor itself during the odor emission process, but also the chemical reactions that occur during the diffusion process, the interactions between different emission substances, and the impact of meteorological factors and weather on the odor concentration, the final result of the odor concentration assessment at the sensitive point is relatively more accurate.

[0067] Step S600, generating an adjustment signal for adjusting the odor emission at the emission point according to the actual odor information and the preset concentration information.

[0068] The above adjustment information includes a first adjustment signal and a second adjustment signal. Generating an adjustment signal for adjusting the odor discharged at the discharge point according to the actual odor information and the preset concentration information includes the following steps: Step S601, determining whether the actual odor information meets the preset concentration information, and if so, generating a first adjustment signal indicating that no adjustment is needed for the odor emitted from the emission point.

[0069] Step S602: If not satisfied, obtain the concentration information difference between the actual odor information and the preset concentration information, and generate the emission substances of the odor and the corresponding emission amount of the emission substances according to the concentration information difference.

[0070] Step S603: generating a second adjustment signal based on the emission substance and the emission amount.

[0071] The above-mentioned preset concentration information refers to the concentration upper limit value corresponding to each emission substance in the odor set at the sensitive point. By comparing the actual concentration value corresponding to each emission substance containing odor in the actual odor information with the concentration upper limit value corresponding to each emission substance containing odor in the preset concentration information, for the same emission substance, it is determined whether the actual odor information meets the preset concentration information. If the actual concentration value of each emission substance is less than the corresponding concentration upper limit value, it indicates that the actual odor information meets the preset concentration information. Otherwise, it indicates that the actual odor information does not meet the preset concentration information.

[0072] When the actual odor information meets the preset concentration information, a first adjustment signal is generated indicating that no adjustment is required for the odor emitted from the emission point, and the emission device is not adjusted at this time.

[0073] In the case that the actual odor information does not meet the preset concentration information, the concentration information difference is obtained by subtracting the actual odor information from the preset concentration information for the same emission substance, and then the concentration information difference is used to calculate which emission substance of the odor does not need to be discharged, and the emission amount of the emission substance that exceeds the standard needs to be adjusted. A second adjustment signal is generated based on the obtained emission substance and emission amount, so that the emission equipment adjusts the emission substance, emission amount and emission rate of the odor according to the second adjustment signal. The emission combination and emission rate combination that can meet the odor concentration limit requirements of the emission point are calculated and given through the requirements of multiple sensitive points.

[0074] Figure 5 Schematic diagram of a method for evaluating odor concentration provided in an embodiment of the present application. Figure 5As shown, a spatial three-dimensional field is constructed according to the emission point, sensitive point and spatial distribution, and the spatial grid is divided. And the meteorological data is re-analyzed according to the meteorological data, and the divided spatial grid is spatially encrypted based on the sensitive point, the meteorology is specific to each spatially encrypted grid, and the meteorological information corresponding to each grid after spatial encryption is determined, so as to provide more accurate meteorological information for odor concentration assessment. In addition, the distribution of odor emission points, the odor emission list of odor emission at the emission point and the odor emission rate are also obtained. Then the above information is substituted into the three-dimensional Euler grid model for odor substance transmission simulation, and then substituted into the corresponding chemical equation to simulate the chemical process of odor substances, to analyze the concentration of sensitive points, and to evaluate the odor concentration at the sensitive point, to determine whether the odor concentration at the sensitive point meets the set threshold, if not, to generate an adjustment signal and feedback to the emission point. If the threshold is met, the emission parameter combination that should be set at the emission point is obtained. Therefore, the odor emission form and odor emission rate of the emission source can be directly evaluated through the threshold value set at the sensitive point, and the evaluation result is relatively more accurate.

[0075] Figure 6 This is a framework diagram of an odor concentration assessment system provided in an embodiment of the present application. Figure 6 As shown, an odor concentration assessment system includes: a model building module, a model processing module, a meteorological processing module and an odor assessment module.

[0076] Among them, the model construction module is used to construct the initial three-dimensional space model of the area where the emission point and the sensitive point are located, and to grid the three-dimensional space model to obtain a grid three-dimensional space model. The model processing module is used to grid the three-dimensional space model to obtain a grid three-dimensional space model; the grid three-dimensional space model is encrypted based on the emission point and the sensitive point to obtain an encrypted three-dimensional space model. The meteorological processing module is used to obtain the initial meteorological information of the area, and re-analyze the initial meteorological information to determine the encrypted grid meteorological information corresponding to each grid in the encrypted three-dimensional space model. The odor assessment module is used to obtain the emission odor information of the emission point, and use the preset three-dimensional Euler grid model to process the emission odor information to obtain odor diffusion information; based on the odor diffusion information, the encrypted grid meteorological information and the preset chemical equation, the actual odor information of the sensitive point is obtained; according to the actual odor information and the preset concentration information, an adjustment signal for adjusting the emission odor at the emission point is generated.

[0077] The other functions performed by the above-mentioned model building module, model processing module, meteorological processing module and odor assessment module as well as the technical details of each function are the same or similar to the corresponding features in the odor concentration assessment method described above, so they will not be repeated here.

[0078] The embodiment of the present application also provides a computer storage medium, on which a computer program is stored. When the computer program is run on a computer, the computer can execute the steps in the odor concentration assessment method described above.

[0079] It should be understood that, although the steps in the flowchart of the accompanying drawings are shown in sequence according to the instructions of the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless explicitly stated in this document, the execution of these steps is not strictly limited in order and can be performed in other orders.

[0080] The above description is only a partial implementation method of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for evaluating odor concentration, characterized in that: The method comprises: Constructing an initial three-dimensional space model of the area where the emission points and sensitive points are located, and meshing the three-dimensional space model to obtain a mesh three-dimensional space model; Encrypting the grid three-dimensional space model based on the emission points and the sensitive points to obtain an encrypted three-dimensional space model; Acquire initial meteorological information of the area, and reanalyze the initial meteorological information to determine the encrypted grid meteorological information corresponding to each grid in the encrypted three-dimensional space model; Acquiring emission odor information of the emission point, and processing the emission odor information using a preset three-dimensional Euler grid model to obtain odor diffusion information; Based on the odor diffusion information, the encrypted grid meteorological information and a preset chemical equation, the actual odor information of the sensitive point is obtained; An adjustment signal for adjusting the odor discharged at the discharge point is generated according to the actual odor information and the preset concentration information.

2. The method according to claim 1, characterized in that The encrypting the grid three-dimensional space model based on the emission points and the sensitive points comprises: Determining an emission three-dimensional space model corresponding to the emission point in the grid three-dimensional space model based on the emission point, and determining a sensitive three-dimensional space model corresponding to the sensitive point in the grid three-dimensional space model based on the sensitive point; Encrypting the sensitive three-dimensional space model once to obtain an encrypted sensitive three-dimensional space model, and encrypting the emission three-dimensional space model twice to obtain an encrypted emission three-dimensional space model; The sensitive three-dimensional space model is replaced by the encrypted sensitive three-dimensional space model, and the emission three-dimensional space model is replaced by the encrypted emission three-dimensional space model.

3. The method according to claim 1, characterized in that The initial meteorological information includes initial meteorological parameters of several attributes, the encrypted grid meteorological information includes encrypted grid sub-meteorological parameters of several attributes, and the re-analysis of the initial meteorological information includes: The initial meteorological parameters of each attribute are respectively divided according to the grids in the encrypted three-dimensional space model to obtain the initial grid meteorological parameters corresponding to the attribute for each grid; The average value of the initial grid meteorological parameter for the same attribute of each grid is calculated respectively to obtain the encrypted network sub-meteorological parameter of the grid with respect to the attribute.

4. The method according to claim 3, characterized in that: The odor diffusion information includes a plurality of odor diffusion sub-information, and the method of using a preset three-dimensional Euler grid model to process the emission odor information includes: The emission point is used as a diffusion reference point, and the emission odor information is substituted into the preset three-dimensional Euler network model to perform mass exchange between the grid where the diffusion reference point is located and the next level adjacent grid of the grid, so as to determine the odor diffusion sub-information at the next level adjacent grid; Each time the odor diffusion sub-information is obtained, it is determined whether the grid corresponding to the odor diffusion sub-information is the grid where the sensitive point is located. If so, a stop signal is generated to indicate that the preset three-dimensional Euler grid model is stopped for processing the odor emission information. If not, based on the odor diffusion sub-information, the encrypted grid meteorological information and the preset chemical equation, the grid odor information of the grid corresponding to the odor diffusion sub-information is obtained, the next-level adjacent grid is determined as the grid where the new diffusion reference point is located, and the odor diffusion sub-information is substituted into the preset three-dimensional Euler network model to exchange mass between the grid where the odor diffusion sub-information is located and the next-level adjacent grid of the grid, so as to determine the odor diffusion sub-information at the next-level adjacent grid.

5. The method according to claim 4, characterized in that The mass exchange between the grid where the diffusion reference point is located and the next level adjacent grid of the grid comprises: Determine whether the next-level adjacent grid is occupied by a physical building, and if so, perform a blank mass exchange between the grid where the diffusion reference point is located and the next-level adjacent grid of the grid; If not, the mass exchange between the faces of the grid where the diffusion reference point is located and the next level adjacent grid of the grid is performed.

6. The method according to claim 4, characterized in that The method of obtaining the actual odor information of the sensitive point based on the odor diffusion information, the encrypted grid meteorological information and the preset chemical equation includes: determining a target chemical equation from the preset chemical equation based on the odor diffusion information; Each time a piece of odor diffusion sub-information is obtained, a target encrypted grid sub-meteorological parameter corresponding to the odor diffusion sub-information is determined from the encrypted grid meteorological information, and the target encrypted grid meteorological parameter and the odor diffusion sub-information are substituted into the target chemical equation to obtain the grid odor information of the grid corresponding to the odor diffusion sub-information; and determining whether the grid corresponding to the odor diffusion sub-information is the grid where the sensitive point is located, and if so, determining the grid odor information as the actual odor information; If not, continue to wait for the next odor diffusion sub-information.

7. The method according to claim 1, characterized in that The construction of the initial three-dimensional spatial model of the area where the emission points and sensitive points are located includes: Obtain the geographical location information of buildings in the areas where emission points and sensitive points are located, the emission geographical location information of emission points, the sensitive geographical location information and spatial distribution information of sensitive points; A three-dimensional coordinate system is established with the emission point as the coordinate origin, and based on the building geographic location information, the emission geographic location information, the sensitive geographic location information and the spatial distribution information, the spatial relationship between the building, the emission point, the sensitive point and the ground height in the three-dimensional coordinate system is determined.

8. The method according to claim 1, characterized in that The adjustment signal includes a first adjustment signal and a second adjustment signal, and the adjustment signal for adjusting the odor emitted at the emission point by the user according to the actual odor information and the preset concentration information includes: Determining whether the actual odor information satisfies the preset concentration information, and if so, generating a first adjustment signal indicating that no adjustment is required for the odor emitted from the emission point; If not, obtaining a concentration information difference between the actual odor information and the preset concentration information, and generating an emission substance of the odor and an emission amount corresponding to the emission substance according to the concentration information difference; A second adjustment signal is generated based on the exhaust substance and the exhaust amount.

9. An odor concentration assessment system, characterized in that: The system includes: a model building module, a model processing module, a meteorological processing module and an odor assessment module; wherein, The model building module is used to build an initial three-dimensional space model of the area where the emission points and sensitive points are located, and to grid the three-dimensional space model to obtain a grid three-dimensional space model; The model processing module is used to mesh the three-dimensional space model to obtain a mesh three-dimensional space model; encrypt the mesh three-dimensional space model based on the emission points and the sensitive points to obtain an encrypted three-dimensional space model; The meteorological processing module is used to obtain initial meteorological information of the area and reanalyze the initial meteorological information to determine the encrypted grid meteorological information corresponding to each grid in the encrypted three-dimensional space model; The odor assessment module is used to obtain the emission odor information of the emission point, and use a preset three-dimensional Euler grid model to process the emission odor information to obtain odor diffusion information; based on the odor diffusion information, the encrypted grid meteorological information and a preset chemical equation, to obtain the actual odor information of the sensitive point; and generate an adjustment signal for adjusting the emission odor at the emission point according to the actual odor information and preset concentration information.

10. A computer-readable storage medium having a computer program that can be run on a processor stored thereon, characterized in that: When the computer program is executed by the processor, the odor concentration evaluation method according to any one of claims 1 to 8 is implemented.

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