Peculiar smell pollution tracing method, electronic equipment and computer storage medium

Abstract

The invention provides an odor pollution traceability method, electronic equipment and a computer storage medium, and belongs to the technical field of pollution source traceability, the method comprises the following steps: establishing a pollution source odor characteristic database corresponding to odor pollution sources, the pollution source odor characteristic database comprising a first fingerprint spectrum corresponding to odor substances of each odor pollution source; the emission and diffusion of the peculiar smell substances are simulated, the maximum diffusion distance of the peculiar smell substances or the influence contribution proportion of different peculiar smell pollution sources to sensitive points are obtained, and the sensitive points are at least one of the complaint sites; obtaining a second fingerprint spectrum of the peculiar smell substance based on the peculiar smell substance analysis result of the sensitive point; determining the similarity between the first fingerprint spectrum and the second fingerprint spectrum of the sensitive points; and determining a target pollution source based on the similarity and the maximum diffusion distance or the influence contribution proportion. According to the tracing method provided by the embodiment of the invention, the suspected peculiar smell pollution source range of the sensitive point can be accurately and quickly narrowed, and the target pollution source is determined.

Description

Technical Field

[0001] The present invention relates to the technical field of pollution source tracing, and in particular to a method for tracing the source of odor pollution, an electronic device and a computer storage medium. Background Art

[0002] Odor substances refer to gases that can be transmitted through the air and sensed by the olfactory system of humans or animals, and are generally considered to be unpleasant, uncomfortable or harmful. There are many types of odor substances, and according to incomplete statistics, there are more than 4,000 types. Sulfur compounds, nitrogen compounds, aldehydes, ketones, esters, acids, phenols, aromatic hydrocarbons, terpenes and other substances all have the characteristics of low olfactory thresholds and obvious odors, which can lead to odor pollution. The types, concentrations, and emissions of odor substances emitted by different industries vary greatly, which has caused great difficulties in monitoring, characterization, and tracing of odor pollution.

[0003] Since odorous substance pollution has the characteristics of unclear substance type, unclear transmission path, low olfactory threshold, low detection value and secondary pollution, tracking and identifying the source of odorous substance pollution has become a difficult point in environmental management.

[0004] Some companies have developed odor monitoring equipment that uses the partial least squares algorithm (PLS) to establish a linear correlation curve between the sensor array monitoring value and the odor intensity value, which enables rapid monitoring of odor pollution. Although this method can monitor a single component of common odor substances, it cannot trace the source of odor pollution. In addition, some methods can only monitor a few specific odor substances in real time, and the monitoring capability is limited. Summary of the invention

[0005] In view of this, the present invention provides a method for tracing the source of odor pollution, an electronic device and a computer storage medium, which can accurately and quickly narrow the scope of suspected odor pollution sources at sensitive points and determine the target pollution sources, which is of great significance for improving the efficiency of odor control and reducing odor complaints from the public.

[0006] In order to solve the above technical problems, the present invention adopts the following technical solutions:

[0007] In a first aspect, a method for tracing an odor pollution source according to an embodiment of the present invention includes:

[0008] Acquire odor complaint data, screen suspected odor pollution sources based on the odor complaint data, and establish an odor substance characteristic database corresponding to the odor pollution sources, wherein the odor complaint data at least includes the complaint location, and the odor substance characteristic database includes a first fingerprint spectrum corresponding to the odor substance of each odor pollution source;

[0009] Simulate the emission and diffusion of the odorous substances from the pollution source to obtain the maximum diffusion distance of the odorous substances from the pollution source or the contribution ratio of different odor pollution sources to the sensitive points, where the sensitive point is at least one of the complaint locations;

[0010] Obtaining a first fingerprint of the odorous substance based on the analysis result of the odorous substance at the sensitive point;

[0011] Determining the similarity between the first fingerprint spectrum and the second fingerprint spectrum of the sensitive point;

[0012] The target pollution source is determined based on the similarity and the maximum diffusion distance or the contribution ratio of the impact of different pollution sources on the sensitive point.

[0013] As an embodiment of the first aspect of the present invention, the pollution source odor characteristic database also includes one or more of a regional odor substance list, a regional odor substance emission list, a regional odor substance emission map, a regional odor wheel map, and a pollution source odor fingerprint map;

[0014] The method also includes: analyzing and comparing the odor substances at the sensitive points based on at least one of the regional odor substance list, the regional odor substance emission list, the regional odor substance emission map, the regional odor wheel map, and the pollution source odor fingerprint map, and narrowing down the target pollution source based on the comparison result.

[0015] As an embodiment of the first aspect of the present invention, the method of screening suspected odor pollution sources based on odor complaint data and establishing an odor substance feature database corresponding to the odor pollution sources includes:

[0016] Based on the basic characteristics of the odor pollution source, typical odor gas samples emitted by each pollution source are obtained and collected, wherein the basic characteristics include the production process, production law and emission characteristics of the pollution source;

[0017] Based on the quantitative and qualitative analysis results of the odorous gas sample, the substance composition and substance concentration of the odorous gas sample are obtained;

[0018] Screening out target odor substances based on the concentration of the substances;

[0019] The target odor substance is used as a fingerprint, and the substance concentration value of the target odor substance is used to establish the odor fingerprint spectrum of each pollution source to obtain the pollution source odor characteristic database.

[0020] As an embodiment of the first aspect of the present invention, the target odor substance is an odor substance with an odor threshold multiple greater than 1.

[0021] As an embodiment of the first aspect of the present invention, in the process of establishing the pollution source odor characteristic database and analyzing the odor substances at the sensitive points, the odor substances at the pollution sources and sensitive points are sampled using a multi-channel adsorption tube VOCs collection device, wherein the multi-channel adsorption tube VOCs collection device uses solid adsorbents to enrich volatile organic compounds in the ambient air, and the adsorbents are composed of three types of fillers: Carbopack C, Carbopack B and Carboxen1000.

[0022] As an embodiment of the first aspect of the present invention, the similarity is determined by calculating Bray-Curtis distance, cosine similarity or Sorensen distance.

[0023] As an embodiment of the first aspect of the present invention, determining the target pollution source based on the similarity and the maximum diffusion distance or the contribution ratio of the impact of different pollution sources on the sensitive point includes:

[0024] Compare the coefficients of the similarity between the sensitive point and the odor fingerprints of each pollution source, and select the first pollution source whose coefficient is greater than a preset value;

[0025] Arrange the maximum diffusion distance or the contribution ratio of the impact of different pollution sources on the sensitive points from high to low, and determine a second pollution source that ranks before a preset number;

[0026] The first pollution source and the second pollution source are analyzed and screened in combination, and the target pollution source is determined.

[0027] As an embodiment of the first aspect of the present invention, the method for tracing the source of odor pollution also includes: obtaining basic information of the odorous gas emitted by the target pollution source, collecting the odorous gas emitted by the target pollution source based on the basic information, and verifying the odorous gas emitted by the target pollution source to determine that the target pollution source is the traceable pollution source.

[0028] As an embodiment of the first aspect of the present invention, verifying the odorous gas emitted by the target pollution source includes:

[0029] Performing qualitative and quantitative analysis on the odorous gas emitted by the target pollution source to obtain the material composition and material concentration of the odorous gas;

[0030] Determining whether the odorous gas contains odorous substances based on the substance composition and substance concentration of the odorous gas;

[0031] When it is determined that the odorous substance is present, it is determined whether the olfactory threshold of the odorous substance exceeds a preset value. If so, the target pollution source is determined to be the traceable pollution source.

[0032] In a second aspect, the present invention further discloses an electronic device, comprising: a memory for storing instructions executed by one or more processors of the electronic device, and a processor for executing the tracing method described in the embodiment of the first aspect.

[0033] In a third aspect, the present invention further discloses a computer-readable storage medium, on which instructions are stored. When the instructions are executed on an electronic device, the electronic device executes the tracing method described in the embodiment of the first aspect.

[0034] The above technical solution of the present invention has at least one of the following beneficial effects:

[0035] According to the method for tracing the source of odor pollution of the embodiment of the present invention, by establishing a pollution source odor feature database and a fingerprint of the odor of sensitive points, a similarity comparison between the odor fingerprint of sensitive points and the pollution source odor feature database is achieved, and the suspected pollution sources causing the odor pollution of sensitive points are preliminarily screened out. Then, through the simulation calculation of the odor diffusion of the pollution source, the contribution ratio of different pollution sources to the sensitive point or the maximum diffusion distance of the odorous substances of the pollution source is calculated, and the scope of the suspected odor pollution source of the sensitive point is narrowed by combining the similarity comparison results and the diffusion simulation calculation results, so that the enterprise can trace the odorous substances more quickly and accurately, and provide a basis for accurate tracing of environmental supervision. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 This is a flow chart of a method for tracing the source of odor pollution according to an embodiment of the present invention;

[0037] Figure 2 A graph showing the contribution ratio of pollution sources to odor substances at sensitive points under different meteorological conditions in an embodiment of the present invention;

[0038] Figure 3 A block diagram of a SoC system on chip according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution of the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings of the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all of the embodiments. Based on the described embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of the present invention.

[0040] In order to facilitate the understanding of the technical solution of the present invention, the technical problem to be solved by the present invention is described below.

[0041] Usually, pollution source gas samples are collected by analyzing the production process, production rules, emission characteristics and other information of the pollution source, and collecting typical odorous gas samples emitted by the pollution source. Environmental odorous gas samples are gas samples collected quickly after a complaint occurs. Since odor pollution is paroxysmal and instantaneous, when a pollution incident occurs or a complaint from residents is received, it is particularly important to narrow the scope of pollution source investigation, especially to facilitate on-site personnel to quickly rush to the polluting enterprise to lock in evidence and provide a basis for law enforcement for environmental regulators. Therefore, it is particularly important to quickly find the corresponding pollution source, but due to the above-mentioned characteristics of gas samples, it has caused great difficulties in monitoring, characterization and tracing of odor pollution.

[0042] In order to solve the above technical problems, the present invention provides a method for tracing the source of odor pollution. By establishing a pollution source odor characteristic database and combining it with the simulation calculation of the emission and diffusion of odorous substances, when a pollution incident occurs or a complaint from residents is received, the scope of pollution source investigation can be narrowed down as soon as possible to achieve rapid tracing, especially facilitating on-site personnel to quickly rush to the polluting enterprises to lock in evidence, providing a basis for accurate tracing of environmental supervision.

[0043] The following first describes in detail the method for tracing the source of odor pollution according to an embodiment of the present invention with reference to the accompanying drawings.

[0044] Figure 1 The flowchart of the method for tracing the source of odor pollution according to an embodiment of the present invention is shown. The method can be executed by an electronic device.

[0045] It can be understood that the method of the embodiment of the present invention can be applied to electronic devices, including but not limited to mobile phones, smart TVs, wearable devices, tablet computers, desktop computers, computers, wearable devices (for example, smart watches, smart glasses, helmets), virtual reality (VR) devices, augmented reality (AR) devices, wireless devices in industrial control, wireless devices in self-driving, wireless devices in smart grids, wireless devices in transportation safety, wireless devices in smart cities, wireless devices in smart homes, servers, and the like.

[0046] like Figure 1 As shown, the method may include:

[0047] S110, establishing a pollution source odor feature database corresponding to the odor pollution source.

[0048] Among them, before establishing the pollution source odor characteristic database, the corresponding odor complaint data must be obtained first. These data can be obtained based on residents' complaints. For example, the complaint data can include the location of the complaint, and can also include data such as the time of the complaint, the quality of the odor, the intensity of the odor, the frequency and duration of the odor. Based on these data, suspected odor pollution sources can be screened around the complaint point. For example, based on the production process, production rules, emission characteristics and other information of the pollution source, typical odor gas samples emitted by each pollution source can be collected, and qualitative and quantitative analysis can be performed using chromatography or chromatography-mass spectrometry to obtain the material composition and material concentration of the pollution source gas sample. According to the substances of the pollutants detected by the pollution source, the odor substances are screened, and the screened odor substances are used as fingerprints. The odor fingerprints of each pollution source are established based on the material concentration values ​​of the odor substances (corresponding to the first fingerprint spectrum) to form a pollution source odor characteristic database.

[0049] In addition, in some embodiments, the pollution source odor feature database may also include one or more of a regional odor substance list, a regional odor substance emission list, a regional odor substance emission map, a regional odor wheel map, and a pollution source odor fingerprint map, and based on at least one of the regional odor substance list, regional odor substance emission list, regional odor substance emission map, and regional odor wheel map, the odor substances at the sensitive points are analyzed and compared, and the target pollution source is narrowed down based on the comparison results. All of this information can be used as a feature to compare with the sample features of subsequent field sampling, thereby improving the accuracy of tracing judgment.

[0050] Specifically, the regional odor substance list reflects the types of odor substances contained in the region. If the subsequent field sampling samples contain substances outside the regional odor substance list, the impact of other regional odor substances can be considered.

[0051] The regional odor substance emission inventory reflects the total amount of regional odor substance emissions. When screening the odor fingerprint maps of pollution sources and the odor fingerprint maps of sensitive points for similarity comparison, the pollution sources with the highest total amount of odor substance emissions can be prioritized for comparison, which can further shorten the tracing time and improve the tracing accuracy.

[0052] The regional odor substance emission map reflects the spatial distribution of regional odor substance concentration or total emission, and can quickly identify pollution sources with high odor substance concentration or total emission. When screening the odor fingerprint maps of pollution sources and the odor fingerprint maps of sensitive points for similarity comparison, pollution sources with high odor substance concentration or total emission can be prioritized, further shortening the tracing time and improving the tracing accuracy.

[0053] The regional odor wheel reflects the relationship between regional pollution sources and odor substances, odor types and industry types. By comparing the odor information obtained from sensitive points with the regional odor wheel, the pollution source of the corresponding odor can be quickly identified, the comparison range of the odor fingerprint map of the pollution source and the odor fingerprint map of the sensitive point can be narrowed, the tracing time can be further shortened and the tracing accuracy can be improved.

[0054] In the embodiment of the present invention, it is preferred to screen out substances with an olfactory threshold multiple greater than 1, that is, substances that can smell odors as odor substances.

[0055] S120, simulates the emission and diffusion of odorous substances to obtain the maximum diffusion distance of odorous substances or the contribution ratio of different odor pollution sources to sensitive points.

[0056] In one embodiment of the present invention, a suitable diffusion model is selected to simulate the impact of odor substances from pollution sources on sensitive points, i.e., points where odor complaints are likely to occur, under different meteorological conditions, where a sensitive point is one of the complaint locations. The maximum diffusion distance of odor substances from pollution sources or the contribution ratio of the impact of different pollution sources on a sensitive point is calculated, thereby screening the list of potential pollution sources of odor pollution at sensitive points.

[0057] In one embodiment of the present invention, the diffusion model may be an atmospheric pollution diffusion model (Gaussian model) or a California PUFF (CALPUFF) model, wherein the Gaussian model is a diffusion simulation under ideal conditions without considering the influence of building groups, and its formula is as follows:

[0058]

[0059] The CALPUFF model is an air quality diffusion model, which consists of three parts: the California Meteorological Model (CALMET), the CALPUFF puff diffusion module, and the California Postprocessor (CALPOST). The CALPUFF small-scale Lagrangian particle diffusion model is based on the corporate emission inventory and can simulate the impact of corporate emissions diffusion and calculate the impact of corporate emissions on each point. This model takes into account the impact of urban buildings on near-ground airflow, and is more complex and has higher accuracy.

[0060] S130, obtaining a second fingerprint spectrum of the odor substances based on the analysis results of the odor substances at the sensitive points.

[0061] In an embodiment of the present invention, the analysis results of odor substances at sensitive points are obtained based on post-sampling analysis. Specifically, when a complaint occurs, odor gas samples at sensitive points are quickly collected, and qualitative and quantitative analysis is performed using chromatography or chromatography-mass spectrometry to obtain the material composition and material concentration of the odor gas samples from the pollution source. Based on the substances of the pollutants detected from the pollution source, odor substances are screened, and preferably substances with an olfactory threshold multiple greater than 1 are screened as odor substances. The screened odor substances are used as fingerprints, and a sensitive point odor fingerprint map (a second fingerprint map) is established using the material concentration values ​​of the odor substances.

[0062] In one embodiment of the present invention, when collecting odorous gas samples in S110 and S130, it is preferred to use a multi-channel adsorption tube volatile organic compounds (VOCs) collection device to collect odorous gas samples at sensitive points. The multi-channel adsorption tube VOCs collection device is designed in accordance with the environmental standard "HJ644-2013 Determination of volatile organic compounds in ambient air by adsorption tube sampling-thermal desorption / gas chromatography-mass spectrometry", and uses solid adsorbents to enrich volatile organic compounds in ambient air. The adsorbent is Carbopack C (specific surface area 10m 2 / g), Carbpack B (specific surface area 100m 2 / g), Carboxen1000 (specific surface area 800m 2 / g) The combination of the three fillers can realize the UAV equipped with a gas sample collection device, and achieve rapid multi-point simultaneous sampling. It can improve the accuracy of sample detection and analysis, and provide more reliable data for establishing sensitive point odor fingerprints.

[0063] S140, determining the similarity between the first fingerprint spectrum and the second fingerprint spectrum of the sensitive point.

[0064] In an embodiment of the present invention, a suitable similarity analysis method is used to compare the similarity between the sensitive point odor fingerprint (first fingerprint) and the pollution source odor characteristic database fingerprint (second fingerprint). The present invention preferably uses Bray-Curtis distance, cosine similarity or Sorensen distance to evaluate the similarity between the sensitive point odor fingerprint and the pollution source odor characteristic database fingerprint.

[0065] Among them, Bray-Curtis distance is an indicator used in ecology and environmental science to measure the similarity between two samples or communities. It is calculated based on the relative abundance of each species in the two samples and is a widely used non-metric distance. The value of Bray-Curtis distance is usually between 0 and 1, where 0 means that the two samples are exactly the same and 1 means that they are completely different.

[0066] The Bray-Curtis distance is calculated as follows:

[0067]

[0068] in:

[0069] D BC is the Bray-Curtis distance.

[0070] x i and i are the abundances (can be number, biomass or other metrics) of the i-th species in two different samples, respectively.

[0071] n is the total number of species in both samples.

[0072] In order to make the Bray-Curtis distance similarity result consistent with the comparison trend of the other similarity calculation values, the present invention processes the Bray-Curtis distance calculation result, and the final Bray-Curtis distance is 1-D BC ,The result is 0, which means the two samples are completely different, and 1, which means they are exactly the same.

[0073] Cosine Similarity is a method commonly used to measure the similarity between two non-zero vectors. It determines the similarity between vectors by calculating the ratio of the dot product of two vectors and the product of their moduli. The range of cosine similarity is from -1 to 1, where 1 indicates that the vectors are in exactly the same direction, -1 indicates that the vectors are in completely opposite directions, and 0 indicates that the vectors are orthogonal, that is, there is no correlation.

[0074] The calculation formula of cosine similarity is as follows:

[0075]

[0076] in:

[0077] A·B represents the dot product of vectors A and B.

[0078] ‖A‖ and ‖B‖ represent the magnitude (or norm) of vectors A and B respectively.

[0079] Sorensen distance, also known as the Sorensen-Dice coefficient, is a statistic used to measure the similarity between two samples. It was originally developed independently by botanists Thorvald Sorensen and Lee Raymond Dice and is widely used in ecology, information retrieval, and image processing. The value of Sorensen distance ranges from 0 to 1, where 0 means that the two sets are completely different and 1 means that the two sets are exactly the same.

[0080] The Sorensen distance calculation formula is:

[0081]

[0082] in:

[0083] |X∩Y| is the size of the intersection of the two sets (i.e. the number of common elements in the two sets).

[0084] |X| and |Y| are the sizes (number of elements) of the two sets respectively.

[0085] S150, determining the target pollution source based on the similarity and the maximum diffusion distance or the impact contribution ratio.

[0086] Compare the similarity coefficients of the odor fingerprints of the sensitive point and each pollution source. The larger the similarity coefficient value, the more similar it is. The more similar it is, the higher the possibility that the pollution source is the source of the odor pollution of the sensitive point. Conversely, the lower the possibility that the pollution source is the source of the odor pollution of the sensitive point. Combine the similarity comparison results with the simulation results of the emission and diffusion of odor substances from the pollution source in S120 to screen the pollution sources with greater suspicion.

[0087] In an embodiment of the present invention, preferably, the pollution sources ranked top 5 in similarity are selected by arranging them from high to low in order of similarity, and the pollution source odor substance emission diffusion model calculates the pollution sources within the maximum diffusion distance of the sensitive point or the pollution sources ranked top 5 in similarity are selected, and the pollution sources ranked top 5 in contribution to the source strength of the sensitive point are selected, and the target pollution source is obtained by jointly analyzing and judging these data.

[0088] According to the method for tracing the source of odor pollution in an embodiment of the present invention, by developing a multi-channel adsorption tube VOCs collection device, establishing a pollution source odor characteristic database, and combining it with the simulation calculation of the emission and diffusion of odorous substances, when a pollution incident occurs or a resident complaint is received, the scope of pollution source investigation is narrowed down as soon as possible, especially facilitating on-site personnel to quickly rush to the polluting enterprise to lock in evidence, providing a basis for accurate tracing of environmental supervision.

[0089] In one embodiment of the present invention, in order to further determine the accuracy of the target pollution source, the target pollution source may be further verified, that is, the pollution source may be locked.

[0090] In S150, the target pollution source is determined, and there may usually be multiple, i.e., the pollution source with a greater suspicion, and the odor gas samples emitted by the pollution source with a greater suspicion are quickly collected, including the exhaust port samples of the pollution source and the unorganized emission samples, and the emission samples are qualitatively and quantitatively analyzed to obtain the material composition and material concentration of the odor gas samples emitted by the pollution source with a greater suspicion. Confirm whether there are odor substances, if there are odor substances, confirm whether the concentration of the odor substances exceeds the odor threshold, if there are odor substances exceeding the odor threshold, determine it as the odor pollution source of this sensitive point.

[0091] The following takes the pollution sources within an enterprise as an example to further illustrate the method for tracing the source of odor pollution in an embodiment of the present invention.

[0092] In this example, Company A has a complex process section and many process exhaust and building exhaust vents. Because it often receives complaints about odors from nearby residential areas, the company needs to actively propose rectification measures for the odors. In order to deeply analyze the source of the residents' odor complaints, the main sources of residents' odor complaints are used. The specific tracing steps are as follows:

[0093] 1) We sorted out the process sections and building exhaust vents of the enterprise, collected gas samples from each exhaust vent, and used chromatography-mass spectrometry for qualitative and quantitative analysis. A total of 65 VOCs emission substances were detected, of which 13 odor substances were screened out. Based on the detected data, the electronic equipment used the screened odor substances as fingerprints, and used the concentration values ​​of the odor substances to establish a fingerprint map to form an enterprise odor feature database.

[0094] 2) Calculate the diffusion and emission of odor substances under different working conditions and meteorological conditions at different emission outlets. Table 1 shows the contribution of different odor pollution sources at a sensitive point around the enterprise.

[0095] Table 1 Contribution of different odor pollution sources at a sensitive point (wind speed 2m / s)

[0096] Serial number Exhaust vent A sensitive point on the ground of a building A sensitive point, a building, 24th floor 1 Building 1 25.87％ 27.19％ 2 Building 2 17.04％ 16.75％ 3 Building 3 16.00％ 16.34％ 4 Building 4 9.23％ 9.58％ 5 Process 1 9.04％ 8.79％ 6 Building 5 7.38％ 6.71％ 7 Craft 2 6.33％ 6.66％ 8 Craft 3 2.50％ 2.27％ 9 Craft 4 2.02％ 1.65％ 10 Building 6 1.28％ 1.63％ 11 Craft 5 1.22％ 1.18％ 12 Building 7 1.00％ 1.15％

[0097] 3) Collect samples with obvious odor at sensitive points, and use chromatography-mass spectrometry to perform qualitative and quantitative analysis to form a fingerprint of the odor at the sensitive points. The specific steps can be referred to the description of the above embodiment, and will not be described in detail here.

[0098] 4) The Bray-Curtis distance method is used to perform similarity comparison between the sensitive point odor fingerprint and the enterprise odor feature database. The similarity comparison results are shown in Table 2.

[0099] Table 2 Similarity comparison results between sensitive point odor fingerprint and enterprise odor feature database

[0100]

[0101]

[0102] 5) Identify pollution sources for key control. Combining the results of step 2) and step 4), select the top 5 pollution sources with the highest source strength contribution and the top 5 similarity as key control targets, and finally determine that the four exhaust outlets of building 2-1, building 2-2, building 2-3, and building 2-4 will be the key control targets.

[0103] In one embodiment of the present invention, considering the different impacts of pollution sources on sensitive points under different meteorological conditions, this embodiment provides the contribution ratio of a certain park enterprise to odor substances at nearby sensitive points under different meteorological conditions. The specific data Figure 2 As shown, from Figure 2 From the data, we can see that the top three enterprises contributing to odor substances at the sensitive points of southwest wind direction are Enterprise 6, Enterprise 3 and Enterprise 2, and the top three enterprises contributing to odor substances at the sensitive points of northwest wind direction are Enterprise 7, Enterprise 10 and Enterprise 11. It can be seen that different meteorological conditions have a great impact on the results of the emission and diffusion of odor substances. In the process of tracing the source, using different climate conditions as data for judgment can greatly improve the accuracy of tracing the source.

[0104] In summary, the odor pollution source tracing method of the embodiment of the present invention, by establishing a pollution source odor feature database and a sensitive point odor fingerprint map, realizes the similarity comparison between the sensitive point odor fingerprint map and the pollution source odor feature database, and preliminarily screens out the suspected pollution sources that cause odor pollution at sensitive points. Then, through the pollution source odor diffusion simulation calculation, the source strength contribution of different pollution sources at the sensitive point or the maximum diffusion distance of the pollution source is calculated. Combined with the similarity comparison results and the diffusion simulation calculation results, the scope of suspected odor pollution sources at sensitive points can be further narrowed. In addition, the multi-channel adsorption tube VOCs collection device can quickly collect odor samples of suspected pollution sources after an odor complaint incident occurs, making the enterprise's odor control strategy decision-making or the supervision of regulatory units faster and more accurate.

[0105] The present application also provides an electronic device, including:

[0106] a memory for storing instructions to be executed by one or more processors of the device, and

[0107] A processor is used to execute the above embodiment in combination with Figure 1 The method explained.

[0108] The present application also provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the processor executes the above-mentioned embodiment. Figure 1 The method explained.

[0109] The present application also provides a computer program product comprising instructions, which, when executed on an electronic device, enables a processor to execute the above-mentioned embodiments. Figure 1 The method explained.

[0110] Reference now Figure 3 , which is a block diagram of a SoC (System on Chip) 700 according to an embodiment of the present application. Figure 3 In the FIG, similar components have the same reference numerals. In addition, the dashed boxes are optional features of more advanced SoCs. Figure 3 In the embodiment, SoC 700 includes: an interconnect unit 750, which is coupled to an application processor 710; a system agent unit 780; a bus controller unit 790; an integrated memory controller unit 740; a group or one or more coprocessors 720, which may include integrated graphics logic, an image processor, an audio processor, and a video processor; a static random access memory (SRAM) unit 730; and a direct memory access (DMA) unit 760. In one embodiment, the coprocessor 720 includes a dedicated processor, such as, for example, a network or communication processor, a compression engine, a general purpose computing on GPU (GPGPU), a high throughput integrated multi-core architecture (MIC) processor, or an embedded processor.

[0111] The static random access memory (SRAM) unit 730 may include one or more computer-readable media for storing data and / or instructions. The computer-readable storage medium may store instructions, specifically, temporary and permanent copies of the instructions. The instructions may include: when executed by at least one unit in the processor, the Soc 700 executes the method according to the above embodiment, which may be specifically referred to in the above embodiment. Figure 1 The methods explained will not be repeated here.

[0112] The various embodiments of the mechanism disclosed in the present application can be implemented in hardware, software, firmware or a combination of these implementation methods. The embodiments of the present application can be implemented as a computer program or program code executed on a programmable system, which includes at least one processor, a storage system (including volatile and non-volatile memory and / or storage elements), at least one input device and at least one output device.

[0113] Program code can be applied to input instructions to perform the functions described in this application and generate output information. The output information can be applied to one or more output devices in a known manner. For the purposes of this application, a processing system includes any system having a processor such as, for example, a digital signal processor (DSP), a microcontroller, an application specific integrated circuit (ASIC), or a microprocessor.

[0114] Program code can be implemented with high-level programming language or object-oriented programming language to communicate with the processing system. When necessary, program code can also be implemented with assembly language or machine language. In fact, the mechanism described in this application is not limited to the scope of any specific programming language. In either case, the language can be a compiled language or an interpreted language.

[0115] In some cases, the disclosed embodiments may be implemented in hardware, firmware, software, or any combination thereof. The disclosed embodiments may also be implemented as instructions carried or stored on one or more temporary or non-temporary machine-readable (e.g., computer-readable) storage media, which may be read and executed by one or more processors. For example, instructions may be distributed over a network or through other computer-readable media. Therefore, machine-readable media may include any mechanism for storing or transmitting information in a machine (e.g., computer) readable form, including, but not limited to, floppy disks, optical disks, optical disks, read-only memories (CD-ROMs), magneto-optical disks, read-only memories (ROMs), random access memories (RAMs), erasable programmable read-only memories (EPROMs), electrically erasable programmable read-only memories (EEPROMs), magnetic or optical cards, flash memory, or a tangible machine-readable memory for transmitting information (e.g., carrier waves, infrared signals, digital signals, etc.) using the Internet in electrical, optical, acoustic, or other forms of propagation signals. Therefore, machine-readable media include any type of machine-readable media suitable for storing or transmitting electronic instructions or information in a machine (e.g., computer) readable form.

[0116] In the accompanying drawings, some structural or method features may be shown in a specific arrangement and / or order. However, it should be understood that such a specific arrangement and / or order may not be required. Instead, in some embodiments, these features may be arranged in a manner and / or order different from that shown in the illustrative drawings. In addition, the inclusion of structural or method features in a particular figure does not mean that such features are required in all embodiments, and in some embodiments, these features may not be included or may be combined with other features.

[0117] It should be noted that the units / modules mentioned in the various device embodiments of the present application are all logical units / modules. Physically, a logical unit / module can be a physical unit / module, or a part of a physical unit / module, or can be implemented as a combination of multiple physical units / modules. The physical implementation method of these logical units / modules themselves is not the most important. The combination of functions implemented by these logical units / modules is the key to solving the technical problems proposed by the present application. In addition, in order to highlight the innovative part of the present application, the above-mentioned device embodiments of the present application do not introduce units / modules that are not closely related to solving the technical problems proposed by the present application, which does not mean that there are no other units / modules in the above-mentioned device embodiments.

[0118] It should be noted that in the examples and description of this patent, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "including one" do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0119] Although the present application has been illustrated and described with reference to certain preferred embodiments thereof, it will be apparent to those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the present application.

Claims

1. A method for tracing the source of odor pollution, characterized in that: include: Acquire odor complaint data, screen suspected odor pollution sources based on the odor complaint data, and establish a pollution source odor feature database corresponding to the odor pollution source, wherein the odor complaint data at least includes the complaint location, and the pollution source odor feature database includes a first fingerprint spectrum corresponding to the odor substance of each odor pollution source; Simulate the emission and diffusion of the odorous substance to obtain the maximum diffusion distance of the odorous substance or the contribution ratio of different odor pollution sources to the sensitive point, where the sensitive point is at least one of the complaint locations; Based on the analysis result of the odorous substance at the sensitive point, a second fingerprint spectrum of the odorous substance is obtained; Determining the similarity between the first fingerprint spectrum and the second fingerprint spectrum of the sensitive point; The target pollution source is determined based on the similarity and the maximum diffusion distance or the impact contribution ratio.

2. The method for tracing the source of odor pollution according to claim 1, characterized in that: The pollution source odor characteristic database also includes one or more of a regional odor substance list, a regional odor substance emission list, a regional odor substance emission map, and a regional odor wheel map; The method further comprises: Based on at least one of the regional odor substance list, the regional odor substance emission list, the regional odor substance emission map and the regional odor wheel map, the odor substances at the sensitive points are analyzed and compared, and the target pollution source is narrowed down based on the comparison result.

3. The method for tracing the source of odor pollution according to claim 1, characterized in that: The step of establishing a database of odor substance characteristics corresponding to the odor pollution source comprises: Based on the basic characteristics of the odor pollution sources, typical odor gas samples emitted by each pollution source are obtained, wherein the basic characteristics include the production process, production law and emission characteristics of the pollution source; Based on the quantitative and qualitative analysis results of the odorous gas sample, obtaining the substance composition and substance concentration of the odorous gas sample; Screening out target odor substances based on the concentration of the substances; The target odor substance is used as a fingerprint, and the substance concentration value of the target odor substance is used to establish the odor fingerprint spectrum of each pollution source to obtain the pollution source odor characteristic database.

4. The method for tracing the source of odor pollution according to claim 1, characterized in that: The target odor substance is an odor substance whose olfactory threshold multiple is greater than 1.

5. The method for tracing the source of odor pollution according to claim 1, characterized in that: In the process of establishing the pollution source odor characteristic database and analyzing the odor substances at the sensitive points, a multi-channel adsorption tube volatile organic compound collection device is used for collection, wherein the multi-channel adsorption tube volatile organic compound collection device uses solid adsorbents to enrich volatile organic compounds in the ambient air, and the adsorbents are composed of three types of fillers: Carbopack C, Carbopack B and Carboxen1000.

6. The method for tracing the source of odor pollution according to any one of claims 1 to 5, characterized in that: The similarity is determined by calculating Bray-Curtis distance, cosine similarity or Sorensen distance.

7. The method for tracing the source of odor pollution according to claim 5, characterized in that: The determining of the target pollution source based on the similarity and the maximum diffusion distance or the impact contribution ratio includes: Based on the magnitude of the coefficient of the similarity, selecting a first pollution source whose coefficient is greater than a preset value; A preset number of second pollution sources that are arranged in descending order based on the maximum diffusion distance or the impact contribution ratio; The first pollution source and the second pollution source are analyzed and the target pollution source is determined.

8. The method for tracing the source of odor pollution according to claim 1, characterized in that: Also includes: The basic information of the odorous gas emitted by the target pollution source is obtained, and the odorous gas emitted by the target pollution source is verified based on the basic information to determine that the target pollution source is the traceable pollution source.

9. The method for tracing the source of odor pollution according to claim 8, characterized in that: Verify the odorous gas emitted by the target pollution source, including: Obtaining qualitative and quantitative analysis results of the odorous gas emitted by the target pollution source, as well as the material composition and material concentration of the odorous gas; Determining whether the odorous gas contains odorous substances based on the substance composition and substance concentration of the odorous gas; When it is determined that the odorous substance is present, it is determined whether the olfactory threshold of the odorous substance exceeds a preset value. If so, the target pollution source is determined to be the traceable pollution source.

10. An electronic device, comprising: A memory for storing instructions executed by one or more processors of an electronic device, and a processor for executing the tracing method described in any one of claims 1 to 9.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, which, when executed on an electronic device, enable the electronic device to execute the traceability method according to any one of claims 1 to 9.

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