Method and system for monitoring and tracing peculiar smell gas in industrial park

Abstract

The invention relates to the field of peculiar smell monitoring, in particular to an industrial park peculiar smell gas monitoring and tracing method and system.The industrial park peculiar smell gas monitoring and tracing system comprises an information management module, a sampling and testing module, a sensing and monitoring module, an atmosphere modeling module and a region tracing module; the sampling test module is used for sampling detection of peculiar smell components, the sensing monitoring module is used for setting a peculiar smell sensing device and a meteorological detection station, the atmosphere modeling module is used for establishing a peculiar smell gas diffusion model, and the area traceability module is used for delimiting a traceability area and determining a peculiar smell gas source. The odorous gas in the industrial park can be quantitatively managed, and the standard exceeding state of the odorous gas can be found in time, so that a leakage source is quickly positioned, the propagation of the odorous gas is controlled, the emission of harmful gas is reduced, the personnel health and environmental safety of the industrial park are guaranteed, and the quality of the park and the surrounding air is improved.

Description

Technical Field

[0001] The present invention relates to the field of odor monitoring, and in particular to a method and system for monitoring and tracing odorous gases in industrial parks. Background Art

[0002] Malodorous gases are gases with a pungent odor, typically produced by chemicals, biological decomposition, or industrial processes. They can negatively impact human health and the environment. Common malodorous gases in industrial parks include hydrogen sulfide, ammonia, sulfur dioxide, aromatic compounds, and volatile organic compounds (VOCs). The types and volumes of malodorous gases generated by various production processes vary significantly, requiring evaluation and treatment before release.

[0003] The commonly used method for tracing the source of odorous gases is component analysis. By analyzing the components of the odorous gas, the production line producing the odor is determined, and thus the source of the odor is determined. However, the analysis of odorous gas samples requires professional instruments and equipment, and the analysis time is long. When odorous gases appear in industrial parks, gas sampling and analysis cannot be carried out in a timely manner. In addition, the components of odorous gases concentratedly emitted by industries in the park are similar, and the data differentiation is low, resulting in an excessively large traceability range, affecting the efficiency of environmental management.

[0004] In addition, the diffusion of odorous gases is strongly correlated with natural environmental factors such as weather, temperature, and sunshine. Relying solely on the wind speed diffusion model to infer the gas diffusion state will result in large errors. It is difficult to accurately trace the source under the complex gas convection conditions in industrial parks. A more accurate gas flow detection method is needed. Summary of the Invention

[0005] The purpose of the present invention is to provide a method and system for monitoring and tracing the source of odorous gases in industrial parks to solve the problems raised in the above background technology.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: an industrial park odor gas monitoring and tracing system, comprising: an information management module, a sampling and testing module, a sensor monitoring module, an atmospheric modeling module and a regional tracing module;

[0007] The information management module is used to establish an information processing platform in the cloud, record the location of all pollution sources in the industrial park and the odor gas components of the corresponding production processes in the cloud database, and manage the working status of each odor monitoring device, sampling device and meteorological observation device. At the same time, a data terminal is set up in the management department to synchronize the cloud information processing platform with the data terminal;

[0008] The sampling and testing module is used to sample and test the air at different locations within the park, use analytical instruments to obtain the concentration of each odor component in the sample, and perform a dilution test on the sample. Based on the dilution factor when the sample is reduced to the detection threshold, the odor intensity of the sample is obtained. The composition analysis of the odor intensity and the concentration of each component is performed, and the analysis results are uploaded to the cloud;

[0009] The sensor monitoring module is used to set up an odor sensing device at a sampling location in the park where the odor intensity of the sample is higher than a threshold value based on the sampling results. The odor sensing device is composed of an air sensor array, a signal processing chip, and a pattern recognition chip. It can collect odors and upload the odor intensity of the location in real time. A meteorological monitoring station supporting the odor sensing device is established at the same location to obtain the wind direction, wind speed, temperature, and sunshine intensity of the location;

[0010] The atmospheric modeling module is used to determine the components of odorous gases in the park according to the operating status of each factory production line in the current period, group the gases according to their production sources, and use the extended vector model to establish a mixed odor model for each group of gases. The gas diffusion coefficient is determined based on the meteorological data obtained by the meteorological monitoring station, and the point source diffusion model is used to fit the component concentrations at each point to establish a diffusion model for the odorous gases.

[0011] The regional traceability module is used to establish a factor analysis model in matrix form based on odor intensity and component concentration, calculate the factor loading and factor contribution of each component, adjust the initial concentration of the odor component in each group, so that the cumulative odor intensity of each group is consistent with the measured intensity of all test points, and all initial concentration parameters that meet the conditions constitute a test group. The factory location corresponding to each test group is marked to form a traceability area. A fixed number of samples are taken within the traceability area, and the concentration of each component in the sample is analyzed. The samples are distributed to each factory location according to the adjusted diffusion model, and the factories with cumulative component amounts higher than a threshold are marked in the cloud, and the data is displayed in the management terminal.

[0012] Furthermore, the information management module includes: a cloud platform unit, a park planning unit and a data terminal unit;

[0013] The cloud platform unit is used to establish a data management platform for the park, upload and download data, and perform cloud computing functions;

[0014] The park planning unit is used to generate a park pollution map, marking the gas emission types of factory production lines;

[0015] The data terminal unit is used to provide a user interaction interface and to identify and warn the emission source of the odorous gas.

[0016] Furthermore, the sampling and testing module includes: a gas collection unit and a component testing unit;

[0017] The gas sampling unit is used to randomly sample gases in the industrial park. The number of sampling times is determined by the types of odor gases, and the distribution interval of sampling points is higher than the threshold;

[0018] The component testing unit is used to determine the content of odor gases in the sample by using element calibration method, spectroscopy and carbon content detection method.

[0019] Furthermore, the sensing and monitoring module includes: an odor sensing unit and a meteorological observation unit;

[0020] The odor sensing unit is used to be set inside the industrial park to detect the odor intensity in the air and feedback to the cloud when the odor intensity is higher than the threshold;

[0021] The meteorological observation unit is used to obtain the wind speed and direction, temperature and sunshine intensity in the environment by using a wind vane, a thermometer and a sunshine recorder.

[0022] Furthermore, the atmospheric modeling module includes: an extended vector unit and a gas diffusion unit;

[0023] The extended vector unit is used to group gases and fit and predict the odor intensity of mixed gases;

[0024] The gas diffusion unit is used to establish a point source diffusion model in the industrial park with the factory emission outlet as the center and simulate the diffusion state of gases.

[0025] Furthermore, the regional traceability module includes: a factor analysis unit, a component superposition unit and a factory area marking unit;

[0026] The factor analysis unit is used to calculate the highest load and contribution ratio of each odor gas to the odor intensity;

[0027] The component superposition unit is used to increase the concentration of odor gases from each emission source by type and proportion until the superposition value is consistent with the measured value;

[0028] The factory area marking unit is used to conduct secondary sampling and traceability of gases in the industrial park, determine the emission concentration of each emission source, and mark it in the data.

[0029] A method for monitoring and tracing odor gases in an industrial park includes the following steps:

[0030] Step S1. Establish a management platform in the cloud, generate a pollution map of the industrial park, mark the locations of each factory, sewage outlets and the corresponding odor gas components in the factory in the industrial park, set up data terminals in the management department, and keep the information synchronization between the cloud and the data terminals;

[0031] Step S2. Perform gas sampling at random locations within the park. The number of sampling times is determined by the types of odor gases. Detect the concentrations of various odor components in the test samples, and conduct dilution tests on the samples to obtain the odor intensity of the samples. Identify the concentrations of various components in the samples in matrix form, fit all the sample matrices, and calculate the factor loadings of each component;

[0032] Step S3. Take the sampling locations within the park where the odor intensity of the samples is higher than the threshold as the test points, set up odor sensing devices and meteorological detection devices. When the odor sensing device detects an odor, upload the odor intensity to the cloud and wake up the meteorological detection device to observe meteorological data;

[0033] Step S4. Determine the gas diffusion coefficient based on the observed meteorological data and indoor test results. Judge the operating status of the factory during the current period according to the electricity consumption data or noise detection data. Centering on the emission outlets of the operating factories, establish a point source diffusion model within the park to simulate the diffusion state of the gas;

[0034] Step S5. Use the emission concentrations of various odor gases from the factory as input components and the odor intensities detected at each test point as output components. Adjust the magnification factors of each input component. Calculate the odor intensities at each test point based on the factor loadings of various odor gases to make the calculation results consistent with the measured results. Mark the factories with magnification factors of components higher than the threshold and notify the management department for sampling verification.

[0035] Further, Step S1 includes:

[0036] Step S11. Establish an information processing platform in the cloud to manage the working status of each odor monitoring device, sampling device, and meteorological observation device, and have functions of uploading and downloading data, storing data, and cloud computing. Load the three-dimensional map of the industrial park into the platform, and mark the locations of factories and sewage outlets in the three-dimensional map. The sewage outlets include chimneys, smoke towers, and open channels;

[0037] Step S12. Determine the types and proportions of odor gases at the factory emission points according to the production processes of the factories, and mark them in the three-dimensional map to obtain the park pollution map;

[0038] Step S13. Set up a data terminal with user interaction function in the management department, and synchronize the park pollution map to the data terminal in real time through the cloud.

[0039] Further, Step S2 includes:

[0040] Step S21. Perform gas sampling within the park. The number of sampling times is greater than the number of types of odor gases, and the distance between sampling points is greater than the resolution threshold. The resolution threshold is determined by the area of the park, the air circulation state, and the hardware parameters of the odor monitoring equipment;

[0041] Step S22. Detect and record the concentrations of each odor component in the sample. The detection methods include: elemental calibration method, spectroscopy method, and carbon content detection method. At the same time, test the sample to dilute the sample by multiples until the odor intensity of the sample is reduced to the detection threshold of the odor monitoring device, record the dilution multiple of the sample, and multiply it by the detection threshold to obtain the odor intensity of the sample;

[0042] Step S23. Identify the concentrations of each component in the sample in matrix form to obtain the sample matrix X:

[0043]

[0044] where n represents the number of samples, m represents the number of odor gases, and Xnm represents the concentration of the m-th odor gas in the n-th sample;

[0045] Perform factor analysis on the sample matrix:

[0046]

[0047] where OI0 represents the odor intensity of the sample, OI i and OI j respectively represent the odor intensities of the i-th and j-th odor gases, and OI ij represents the odor intensity after mixing the i-th and j-th odor gases. The calculation formula for the odor intensity of the gas is:

[0048] OI = k·lgX;

[0049] where OI represents the odor intensity, k is the factor loading, and X is the concentration of the odor gas;

[0050] Step S24. Calculate the factor loading of each odor gas according to the odor intensity of the sample and the mixed odor intensity of each detected odor gas.

[0051] Further, step S3 includes:

[0052] Step S31. Set up an odor sensing device at the sampling location in the park where the odor intensity of the sample is higher than the threshold. The odor sensing device consists of a gas sensor array, a signal processing chip, and a pattern recognition chip, and can collect odors and upload the odor intensity of the location in real time. When the detected odor intensity is higher than the threshold, send a feedback signal to the cloud;

[0053] Step S32. After receiving the feedback signal, the cloud collects the observation data of the meteorological station to obtain the wind direction, wind speed, temperature, and sunshine intensity of each test point.

[0054] Further, step S4 includes:

[0055] Step S41. Establish a coordinate system for the park pollution map, determine the gas diffusion coefficient based on the observed meteorological data and the indoor test results of the odorous gas, and determine the factories that are currently operating;

[0056] Step S42. Taking the gas exhaust outlet of the operating factory as the diffusion point, a point source diffusion model is established for each odor gas:

[0057]

[0058] Where x and y represent the horizontal and vertical distances between the test point and the discharge outlet, respectively, with the discharge outlet as the origin; h is the source height; c(x, y, h) represents the odor gas concentration at the coordinate (x, y) when the source height is h; Q represents the emission concentration of the odor gas; v represents the wind speed at the discharge outlet; σy and σz represent the lateral diffusion coefficient and vertical diffusion coefficient of the odor gas, respectively; and e is the base of the natural logarithm.

[0059] Step S43: A point source diffusion model is established for each emission outlet to obtain a park gas diffusion state model.

[0060] Furthermore, step S5 includes:

[0061] Step S51. Using the emission concentration of each odorous gas in the factory as the input component and the odor intensity detected at each test point as the output component, the amplification factor of each input component is adjusted, and the odor intensity at each test point is calculated based on the factor loading of the odorous gas, so that the simulation results of all test points in the point source diffusion model are consistent with the measured intensity;

[0062] Step S52. After the magnification is fixed, the factories with magnifications higher than the threshold are marked on the pollution map of the park, a traceability area is established with the factory as the center, and secondary sampling and verification are carried out within the traceability area.

[0063] Compared with the prior art, the present invention has the following beneficial effects:

[0064] 1. The present invention establishes an information processing platform in the cloud to record the location and components of all pollution sources in the industrial park, conducts dilution tests on samples, and establishes a factor analysis model in matrix form based on the odor intensity and component concentration of the samples. The factor loading and factor contribution of each component are calculated, thereby quantitatively managing odorous gases in the industrial park, timely detecting the exceeding of odorous gas standards, analyzing the trend of gas emissions, and implementing integrated management of the sources of odorous gases.

[0065] 2. The present invention sets up odor sensing devices and meteorological monitoring stations in the industrial park, adopts an extended vector model to establish a mixed odor model for each group of gases, and uses a point source diffusion model to fit the component concentrations at each point, thereby determining the different sources of odor gases, providing an aerodynamic basis for gas tracing, identifying and controlling odor sources, reducing harmful gas emissions, and improving the air quality in the industrial park and its surrounding areas.

[0066] 3. The present invention marks the positions of the factories corresponding to each test group to form a tracing area, conducts sampling at the lowest number of times within the tracing area, analyzes the concentrations of each component in the samples, and allocates them to each factory. The factories with the cumulative amount of components higher than the threshold are marked in the cloud and highlighted as tracing targets, so as to quickly locate the leakage source, control the spread of odor gases, and ensure the health of personnel and the normal environment in the industrial park. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] The drawings are used to provide a further understanding of the present invention and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the present invention and do not constitute a limitation to the present invention. In the drawings:

[0068] Figure 1 is a schematic structural diagram of an odor gas monitoring and tracing system for an industrial park according to the present invention;

[0069] Figure 2 is a schematic diagram of the steps of an odor gas monitoring and tracing method for an industrial park according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0070] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0071] Please refer to Figure 1 , the present invention provides a technical solution: an odor gas monitoring and tracing system for an industrial park, including: an information management module, a sampling and testing module, a sensing and monitoring module, an atmospheric modeling module, and a regional tracing module;

[0072] The information management module is used to establish an information processing platform in the cloud, record the positions of all pollution sources in the industrial park and the odor gas components of the corresponding production processes in the cloud database, manage the working states of each odor monitoring device, sampling device, and meteorological observation device, and set up a data terminal in the management department to synchronize the cloud information processing platform with the data terminal;

[0073] The information management module includes: a cloud platform unit, a park planning unit and a data terminal unit;

[0074] The cloud platform unit is used to establish a data management platform for the park, upload and download data, and perform cloud computing functions;

[0075] The park planning unit is used to generate a park pollution map, marking the gas emission types of factory production lines;

[0076] The data terminal unit is used to provide a user interaction interface and to identify and warn the emission source of the odorous gas.

[0077] The sampling and testing module is used to sample and test the air at different locations within the park, use analytical instruments to obtain the concentration of each odor component in the sample, and perform a dilution test on the sample. Based on the dilution factor when the sample is reduced to the detection threshold, the odor intensity of the sample is obtained. The composition analysis of the odor intensity and the concentration of each component is performed, and the analysis results are uploaded to the cloud;

[0078] The sampling and testing module includes: a gas collection unit and a component testing unit;

[0079] The gas sampling unit is used to perform random gas sampling in the park. The number of sampling times is determined by the type of odorous gas, and the sampling point distribution interval is higher than the threshold;

[0080] The component testing unit is used to determine the content of odorous gas in the sample by using element calibration method, spectroscopy method and carbon content detection method.

[0081] The sensor monitoring module is used to set up an odor sensing device at a sampling location in the park where the odor intensity of the sample is higher than a threshold value based on the sampling results. The odor sensing device is composed of an air sensor array, a signal processing chip, and a pattern recognition chip. It can collect odors and upload the odor intensity of the location in real time. A meteorological monitoring station supporting the odor sensing device is established at the same location to obtain the wind direction, wind speed, temperature, and sunshine intensity of the location;

[0082] The sensor monitoring module includes: an odor sensing unit and a meteorological observation unit;

[0083] The odor sensing unit is used to be set up inside the park to detect the intensity of odor in the air and provide feedback to the cloud when the odor intensity exceeds a threshold;

[0084] The meteorological observation unit is used to obtain wind speed and direction, temperature and sunshine intensity in the environment using a wind vane, a thermometer and a sun meter.

[0085] The atmospheric modeling module is used to determine the components of the odor gas in the park according to the operating status of each factory production line in the current period, group the gases according to the production sources, adopt an extended vector model to establish a mixed odor model for each group of gases, determine the gas diffusion coefficient according to the meteorological data obtained by the meteorological detection station, and use the point source diffusion model to fit the component concentrations at each point to establish a diffusion model for the odor gas;

[0086] The atmospheric modeling module includes: an extended vector unit and a gas diffusion unit;

[0087] The extended vector unit is used to group the gases and fit and predict the odor intensity of the mixed gas;

[0088] The gas diffusion unit is used to establish a point source diffusion model in the park with the factory emission outlet as the center to simulate the diffusion state of the gas.

[0089] The regional traceability module is used to establish a factor analysis model in matrix form according to the odor intensity and component concentration, calculate the factor load and factor contribution of each component, adjust the initial concentration of the odor components within each group so that the cumulative odor intensity of each group is consistent with the measured intensity of all test points, and all the initial concentration parameters that meet the conditions form a test group. Mark the factory locations corresponding to each test group to form a traceability area, conduct a fixed number of samplings within the traceability area, analyze the concentration of each component in the sample, allocate it to each factory location according to the adjusted diffusion model, mark the factories with the component cumulative amount higher than the threshold in the cloud, and display the data in the management terminal.

[0090] The regional traceability module includes: a factor analysis unit, a component superposition unit, and a factory marking unit;

[0091] The factor analysis unit is used to calculate the highest load and contribution ratio of each odor gas to the odor intensity;

[0092] The component superposition unit is used to increase the concentration of the odor gases from each emission source by type and proportion until the superposition value is consistent with the measured value;

[0093] The factory marking unit is used to conduct secondary sampling traceability on the gases in the park, determine the emission concentration of each emission source, and mark it in the data.

[0094] As Figure 2 shown, an odor gas monitoring and traceability method for an industrial park includes the following steps:

[0095] Step S1. Establish a management platform in the cloud, generate a pollution map of the park, mark the locations of each factory, sewage outlets, and the odor gas components corresponding to the factories in the park, set up a data terminal in the management department, and keep the information synchronization between the cloud and the data terminal;

[0096] Step S1 includes:

[0097] Step S11. Establish an information processing platform in the cloud to manage the working states of various odor monitoring devices, sampling devices, and meteorological observation devices, and have functions of uploading and downloading data, storing data, and cloud computing. Load a 3D map of the industrial park into the platform, and mark the locations of factories and sewage outlets in the 3D map. The sewage outlets include chimneys, smoke towers, and open channels;

[0098] Step S12. Determine the types and proportions of odor gases at the emission points of factories according to the production processes of the factories, and mark them in the 3D map to obtain the park pollution map;

[0099] Step S13. Set up a data terminal with user interaction functions in the management department, and synchronize the park pollution map to the data terminal in real time through the cloud.

[0100] Step S2. Conduct gas sampling at random locations in the park. The number of sampling times is determined by the types of odor gases. Detect the concentrations of various odor components in the detection samples, and conduct dilution tests on the samples to obtain the odor intensity of the samples. Mark the concentrations of various components in the samples in matrix form, fit all the sample matrices, and calculate the factor loadings of each component;

[0101] Step S2 includes:

[0102] Step S21. Conduct gas sampling in the park. The number of sampling times is greater than the number of types of odor gases, and the distance between sampling points is greater than the resolution threshold. The resolution threshold is determined by the park area, air circulation status, and hardware parameters of the odor monitoring equipment;

[0103] Step S22. Detect and record the concentrations of various odor components in the samples. The detection methods include element calibration method, spectroscopy method, and carbon content detection method. At the same time, conduct tests on the samples to dilute the samples by multiples until the odor intensity of the samples is reduced to the detection threshold of the odor monitoring device. Record the dilution multiple of the samples, and multiply it by the detection threshold to obtain the odor intensity of the samples;

[0104] Step S23. Mark the concentrations of various components in the samples in matrix form to obtain the sample matrix X:

[0105]

[0106] where n represents the number of samples, m represents the number of odor gases, and Xnm represents the concentration of the m-th odor gas in the n-th sample;

[0107] Conduct factor analysis on the sample matrix:

[0108]

[0109] Among them, OI0 represents the odor intensity of the sample, and OI i and OI j represent the odor intensities of the i-th and j-th odor gases respectively, and OI ij represents the odor intensity after the mixture of the i-th and j-th odor gases. The calculation formula for the gas odor intensity is:

[0110] OI = k·lgX;

[0111] where OI represents the odor intensity, k is the factor loading, and X is the concentration of the odor gas;

[0112] Step S24. Calculate the factor loading of each odor gas according to the odor intensity of the sample and the mixed odor intensity of each tested odor gas.

[0113] Step S3. Take the sampling locations in the park where the odor intensity of the sample is higher than the threshold as the test points, set up odor sensing devices and meteorological detection devices. When the odor sensing device detects an odor, it uploads the odor intensity to the cloud and wakes up the meteorological detection device to observe meteorological data;

[0114] Step S3 includes:

[0115] Step S31. Set up odor sensing devices at the sampling locations in the park where the odor intensity of the sample is higher than the threshold. The odor sensing device is composed of a gas sensor array, a signal processing chip and a pattern recognition chip, which can collect odors and upload the odor intensity of the location in real time. When the detected odor intensity is higher than the threshold, it sends a feedback signal to the cloud;

[0116] Step S32. After the cloud receives the feedback signal, it collects the observation data of the meteorological detection station and obtains the wind direction, wind speed, temperature and sunshine intensity of each test point.

[0117] Step S4. Determine the gas diffusion coefficient from the observed meteorological data and the indoor test results, judge the operation status of the factory at the current time according to the power consumption data or noise detection data, and establish a point source diffusion model in the park with the emission outlet of the operating factory as the center to simulate the diffusion state of the gas;

[0118] Step S4 includes:

[0119] Step S41. Establish a coordinate system for the park pollution map, determine the gas diffusion coefficient from the observed meteorological data and the indoor test results of the odor gas, and determine the factories that are operating at the current time;

[0120] Step S42. Take the gas emission outlet of the operating factory as the diffusion point, and establish a point source diffusion model for each odor gas:

[0121]

[0122] Where x and y represent the horizontal and vertical distances between the test point and the discharge outlet, respectively, with the discharge outlet as the origin; h is the source height; c(x, y, h) represents the odor gas concentration at the coordinate (x, y) when the source height is h; Q represents the emission concentration of the odor gas; v represents the wind speed at the discharge outlet; σy and σz represent the lateral diffusion coefficient and vertical diffusion coefficient of the odor gas, respectively; and e is the base of the natural logarithm.

[0123] Step S43: A point source diffusion model is established for each emission outlet to obtain a park gas diffusion state model.

[0124] Step S5. Take the emission concentration of each odorous gas in the factory as the input component and the odor intensity detected at each test point as the output component, adjust the amplification factor of each input component, calculate the odor intensity at each test point based on the factor load of each odorous gas, make the calculation result consistent with the measured result, mark the factory with the component amplification factor higher than the threshold, and notify the management department to take samples for verification.

[0125] Step S5 includes:

[0126] Step S51. Using the emission concentration of each odorous gas in the factory as the input component and the odor intensity detected at each test point as the output component, the amplification factor of each input component is adjusted, and the odor intensity at each test point is calculated based on the factor loading of the odorous gas, so that the simulation results of all test points in the point source diffusion model are consistent with the measured intensity;

[0127] Step S52. After the magnification is fixed, the factories with magnifications higher than the threshold are marked on the pollution map of the park, a traceability area is established with the factory as the center, and secondary sampling and verification are carried out within the traceability area.

[0128] Example: There are three factories in the industrial park, which emit two kinds of odorous gases. After sampling in the park, three samples were obtained. The odor intensities were 4.15, 3.50 and 2.85 respectively. In sample 1, the concentration of the odorous gas was 100mg / m 3 and 50 mg / m 3 The calculated factor loadings are 2 and 5 respectively. According to the proportion of gas emitted by the factory production line, the emission concentration of the factory is adjusted to make the measured odor intensity consistent with the predicted results. The multiplication coefficients of Factory 1 and Factory 2 are determined to be 1.1 and 1.2, and a traceability area is established to verify Factory 1 and Factory 2.

[0129] It should be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprising", "including" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device.

[0130] Finally, it should be noted that the above are only the preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for monitoring and tracing the odor gas in an industrial park, characterized in that, The method includes the following steps: Step S1. Establish a management platform in the cloud, generate a pollution map of the park, mark the locations of each factory, the locations of sewage outlets, and the odor gas components corresponding to the factories in the park, set up data terminals in the management department, and keep the information synchronization between the cloud and the data terminals; Step S2. Conduct gas sampling at random locations in the park. The number of sampling times is determined by the types of odor gases. Detect the concentrations of each odor component in the test samples, and conduct dilution tests on the samples to obtain the odor intensity of the samples. Identify the concentrations of each component in the samples in matrix form, fit all the sample matrices, and calculate the factor loadings of each component; Step S3. Take the sampling locations in the park where the odor intensity of the samples is higher than the threshold as the test points, set up odor sensing devices and meteorological detection devices. When the odor sensing devices detect an odor, upload the odor intensity to the cloud and wake up the meteorological detection devices to observe meteorological data; Step S4. Determine the gas diffusion coefficient based on the observed meteorological data and the indoor test results. Judge the operating status of the factories during the current period according to the power consumption data or noise detection data. Establish a point source diffusion model in the park with the emission outlets of the operating factories as the centers to simulate the diffusion state of the gas; Step S5. Take the emission concentrations of each odor gas of the factories as the input components, and the odor intensities detected at each test point as the output components. Adjust the magnification factors of each input component, calculate the odor intensities at each test point from the factor loadings of each odor gas, make the calculation results consistent with the measured results, mark the factories with magnification factors of the components higher than the threshold, and notify the management department to conduct sampling verification.

2. The method for monitoring and tracing odor gases in an industrial park according to claim 1, wherein: Step S1 includes: Step S11. Establish an information processing platform in the cloud to manage the working states of each odor monitoring device, sampling device, and meteorological observation device, and have functions of uploading and downloading data, storing data, and cloud computing. Load the 3D map of the industrial park into the platform, and mark the locations of the factories and sewage outlets in the 3D map. The sewage outlets include chimneys, smoke towers, and open channels; Step S12. Determine the types of odor gases and the proportion of odor gases at the emission points of the factories according to the production processes of the factories, and identify them in the 3D map to obtain the pollution map of the park; Step S13. Set up a data terminal with user interaction functions in the management department, and synchronize the pollution map of the park to the data terminal in real time through the cloud.

3. A method for monitoring and tracing odor gases in an industrial park according to claim 2, characterized in that: Step S2 includes: Step S21. Conduct gas sampling in the park. The number of sampling times is greater than the number of types of odor gases, and the distance between sampling points is greater than the resolution threshold. The resolution threshold is determined by the area of the park, the air circulation state, and the hardware parameters of the odor monitoring equipment; Step S22. Detect and record the concentrations of each odor component in the samples. The detection methods include: element calibration method, spectroscopy method, and carbon content detection method. At the same time, conduct tests on the samples to dilute the samples by multiples until the odor intensity of the samples is reduced to the detection threshold of the odor monitoring device, record the dilution multiple of the samples, and multiply it by the detection threshold to obtain the odor intensity of the samples; Step S23. Identify the concentrations of each component in the samples in matrix form to obtain the sample matrix X: Among them, n represents the number of samples, m represents the number of odor gases, and Xnm represents the concentration of the m-th odor gas in the n-th sample; Perform factor analysis on the sample matrix: Among them, OI0 represents the odor intensity of the sample, and OI i and OI j represent the odor intensities of the i-th and j-th odor gases respectively, and OI ij represents the odor intensity after mixing the i-th and j-th odor gases. The calculation formula for the gas odor intensity is as follows: OI = k·lgX; Where OI represents the odor intensity, k is the factor loading, and X is the concentration of the odor gas; Step S24. Calculate the factor loading of each odor gas according to the odor intensity of the sample and the mixed odor intensity of each detected odor gas.

4. A method for monitoring and tracing odor gases in an industrial park according to claim 3, characterized in that: Step S3 includes: Step S31. Set up odor sensing devices at sampling locations in the park where the odor intensity of the sample is higher than the threshold. The odor sensing device consists of a gas sensor array, a signal processing chip, and a pattern recognition chip, which can collect odors and upload the odor intensity of the location in real time. When the detected odor intensity is higher than the threshold, a feedback signal is sent to the cloud; Step S32. After the cloud receives the feedback signal, collect the observation data of the meteorological station to obtain the wind direction, wind speed, temperature, and sunshine intensity of each test point; Step S4 includes: Step S41. Establish a coordinate system for the park pollution map, determine the gas diffusion coefficient based on the observed meteorological data and the indoor test results of odor gases, and determine the factories that are operating during the current period; Step S42. Take the gas emission port of the operating factory as the diffusion point, and establish a point source diffusion model for each odor gas: Among them, x and y respectively represent the horizontal and vertical distances between the test point and the emission port with the emission port as the origin, h is the source height, c(x, y, h) represents the concentration of the odor gas at the coordinate (x, y) with the source height of h, Q represents the emission concentration of the odor gas, v represents the wind speed at the emission port, σy and σz respectively represent the lateral diffusion coefficient and vertical diffusion coefficient of the odor gas, and e is the base of the natural logarithm; Step S43. Establish a point source diffusion model for each emission port to obtain the park gas diffusion state model.

5. A method for monitoring and tracing odor gases in an industrial park according to claim 4, characterized in that: Step S5 includes: Step S51. Take the emission concentration of each odor gas in the factory as the input component, and the odor intensity detected at each test point as the output component. Adjust the magnification factor of each input component, and calculate the odor intensity of each test point according to the factor loading of the odor gas, so that the simulation results of all test points in the point source diffusion model are consistent with the measured intensity; Step S52. After the magnification factor is fixed, mark the factories with a magnification factor higher than the threshold in the park pollution map, establish a traceability area centered on the factory, and conduct secondary sampling verification within the traceability area.

6. An odor gas monitoring and tracing system for industrial parks, characterized in that, The system includes the following modules: an information management module, a sampling and testing module, a sensing and monitoring module, an atmospheric modeling module, and a regional traceability module; The information management module is used to establish an information processing platform in the cloud, record the locations of all pollution sources in the industrial park and the odor gas components of the corresponding production processes in the cloud database, manage the working states of each odor monitoring device, sampling device, and meteorological observation device, and set up a data terminal in the management department to synchronize the cloud information processing platform with the data terminal; The sampling and testing module is used to sample and test the air at different locations within the park, use analytical instruments to obtain the concentration of each odor component in the sample, and perform a dilution test on the sample. Based on the dilution factor when the sample is reduced to the detection threshold, the odor intensity of the sample is obtained. The composition analysis of the odor intensity and the concentration of each component is performed, and the analysis results are uploaded to the cloud; The sensor monitoring module is used to set up an odor sensing device at a sampling location in the park where the odor intensity of the sample is higher than a threshold value based on the sampling results. The odor sensing device is composed of an air sensor array, a signal processing chip, and a pattern recognition chip. It can collect odors and upload the odor intensity of the location in real time. A meteorological monitoring station supporting the odor sensing device is established at the same location to obtain the wind direction, wind speed, temperature, and sunshine intensity of the location; The atmospheric modeling module is used to determine the components of odorous gases in the park according to the operating status of each factory production line in the current period, group the gases according to their production sources, and use the extended vector model to establish a mixed odor model for each group of gases. The gas diffusion coefficient is determined based on the meteorological data obtained by the meteorological monitoring station, and the point source diffusion model is used to fit the component concentrations at each point to establish a diffusion model for the odorous gases. The regional traceability module is used to establish a factor analysis model in matrix form based on odor intensity and component concentration, calculate the factor loading and factor contribution of each component, adjust the initial concentration of the odor component in each group, so that the cumulative odor intensity of each group is consistent with the measured intensity of all test points, and all initial concentration parameters that meet the conditions constitute a test group. The factory location corresponding to each test group is marked to form a traceability area. A fixed number of samples are taken within the traceability area, and the concentration of each component in the sample is analyzed. The samples are distributed to each factory location according to the adjusted diffusion model, and the factories with cumulative component amounts higher than a threshold are marked in the cloud, and the data is displayed in the management terminal.

7. The odor gas monitoring and traceability system for industrial parks according to claim 6, characterized in that: The information management module includes: a cloud platform unit, a park planning unit and a data terminal unit; The cloud platform unit is used to establish a data management platform for the park, upload and download data, and perform cloud computing functions; The park planning unit is used to generate a park pollution map, marking the gas emission types of factory production lines; The data terminal unit is used to provide a user interaction interface and to identify and warn the emission source of the odorous gas.

8. The odor gas monitoring and tracing system for an industrial park according to claim 7, wherein: The sampling and testing module includes: a gas collection unit and a component testing unit; The gas sampling unit is used to perform random gas sampling in the park. The number of sampling times is determined by the type of odorous gas, and the sampling point distribution interval is higher than the threshold; The component testing unit is used to determine the content of odorous gas in the sample by using element calibration method, spectroscopy method and carbon content detection method; The sensor monitoring module includes: an odor sensing unit and a meteorological observation unit; The odor sensing unit is used to be set up inside the park to detect the intensity of odor in the air and provide feedback to the cloud when the odor intensity exceeds a threshold; The meteorological observation unit is used to obtain wind speed and direction, temperature and sunshine intensity in the environment using a wind vane, a thermometer and a sun meter.

9. The odor gas monitoring and tracing system for industrial parks according to claim 8, wherein: The atmospheric modeling module includes: an extended vector unit and a gas diffusion unit; The expansion vector unit is used to group gases and fit and predict the odor intensity of mixed gases; The gas diffusion unit is used to establish a point source diffusion model in the park with the factory emission outlet as the center and simulate the diffusion state of the gas.

10. The odor gas monitoring and tracing system for an industrial park according to claim 9, characterized in that: The regional traceability module includes: a factor analysis unit, a component superposition unit, and a plant marking unit; The factor analysis unit is used to calculate the highest load and contribution ratio of each odor gas to the odor intensity; The component superposition unit is used to increase the concentration of the odor gases from each emission source by type and proportion until the superposition value is consistent with the measured value; The plant marking unit is used to perform secondary sampling and traceability on the gases in the park, determine the emission concentration of each emission source, and mark it in the data.

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