CN111272950B - Intelligent pollutant tracking system - Google Patents
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- G—PHYSICS
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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Abstract
The invention provides an intelligent pollutant tracking system, which respectively acquires air pollutant existing state information and water pollutant existing state information of a corresponding sampling area under different external environment conditions by arranging an air pollutant information acquisition module and a water pollutant information acquisition module so as to realize large data sample acquisition of air pollutants and water pollutants, correspondingly learns and analyzes the acquired air pollutant existing state information and water pollutant existing state information by a pollutant information analysis module, and finally generates tracking feedback information about the air pollutants and/or the water pollutants according to corresponding pollutant characteristic information by a pollution feedback module, thereby realizing timely, rapid, comprehensive and effective tracking and monitoring of the air pollutants and the water pollutants in the sampling area, to improve the intelligence and accuracy of tracking contaminants.
Description
Technical Field
The invention relates to the technical field of environmental monitoring, in particular to an intelligent pollutant tracking system.
Background
Energy and raw materials are consumed in the production and manufacturing processes of a factory to output corresponding products, waste gas and waste water are generated in the production and manufacturing processes, if the waste gas and the waste water are directly discharged into the external environment without any purification treatment, air pollution and water pollution can be caused to the natural environment, and the waste gas and the waste water both have diffusibility and carry out diffusion and propagation along with the atmospheric flow and the water body flow, so that the pollution range is further enlarged. Due to the free propagation and propagation uncertainty of the exhaust gas and the wastewater, it is often difficult to track the pollutants such as the exhaust gas and the wastewater timely and accurately, which results in that in practical operation, the corresponding pollutant source and the subsequent propagation path range of the pollutants cannot be tracked and obtained through the information of the pollutants monitored in a certain site area. At present, pollutants with strong mobility, such as waste gas and waste water, can be monitored all day long only by arranging monitoring equipment at a plurality of different places, and corresponding alarming and control measures are carried out according to monitoring results, but the monitoring mode usually has time lag, so that the source and the propagation trend of the pollutants can not be determined timely, quickly and accurately, and the effectiveness of monitoring the pollutants is reduced.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides an intelligent pollutant tracking system which respectively acquires the air pollutant existing state information and the water pollutant existing state information of corresponding sampling areas under different external environmental conditions by arranging an air pollutant information acquisition module and a water pollutant information acquisition module so as to realize the large data sample acquisition of air pollutants and water pollutants, performs corresponding learning analysis processing on the acquired air pollutant existing state information and water pollutant existing state information by a pollutant information analysis module so as to determine an air pollutant and water pollutant propagation and diffusion model in the corresponding sampling area range and determine the pollutant characteristic information of the sampling area range, and finally generates tracking feedback information about the air pollutants and/or the water pollutants by a pollution feedback module according to the corresponding pollutant characteristic information, therefore, timely, rapid, comprehensive and effective tracking and monitoring of air pollutants and water pollutants in a sampling area range are realized, and the intelligence and the accuracy of tracking the pollutants are improved.
The invention provides an intelligent pollutant tracking system, which is characterized in that:
the intelligent pollutant tracking system comprises an air pollutant information acquisition module, a water pollutant information acquisition module, a pollutant information analysis module and a pollution feedback module; wherein the content of the first and second substances,
the air pollutant information acquisition module is used for acquiring the existing state information of the air pollutants corresponding to one or more sampling areas;
the water pollutant information acquisition module is used for acquiring water pollutant existing state information corresponding to one or more sampling areas;
the pollutant information analysis module is used for performing learning analysis processing on the air pollutant existence state information and/or the water pollutant existence state information to determine pollutant characteristic information corresponding to a sampling area;
the pollutant feedback module is used for generating tracking feedback information about air pollutants and/or water pollutants according to the pollutant characteristic information;
further, the air pollutant information acquisition module comprises an environmental parameter acquisition sub-module, an air sampling area determination sub-module, an air sampling sub-module and an air sample analysis sub-module; wherein the content of the first and second substances,
the environment parameter acquisition submodule is used for acquiring different types of environment parameter information within a preset range;
the air sampling area determining submodule is used for determining the distribution positions corresponding to one or more air sampling areas in the preset range according to the different types of environment parameter information;
the air sampling sub-module is used for collecting at least one air sample in the determined one or more air sampling areas according to a preset air sampling mode;
the air sample analysis submodule is used for carrying out air analysis processing in a preset mode on the at least one air sample so as to obtain the existence state information of the air pollutants;
further, the environment parameter acquisition submodule comprises an atmospheric environment parameter acquisition unit and a terrain environment parameter acquisition unit; wherein the content of the first and second substances,
the atmospheric environment parameter acquisition unit is used for acquiring at least a wind speed parameter, a wind direction parameter and an atmospheric vertical disturbance parameter in the preset range;
the terrain environment parameter acquisition unit is used for performing electromagnetic wave scanning and/or shooting imaging on the preset range to determine three-dimensional image distribution information about the preset range, and acquiring a plurality of different terrain parameters about the preset range according to the three-dimensional image distribution information;
alternatively, the first and second electrodes may be,
the air sampling area determining submodule comprises an environmental parameter analyzing unit, an environmental interference determining unit and an air sampling area calibrating unit; wherein the content of the first and second substances,
the environment parameter analysis unit is used for learning and processing the different types of environment parameter information by a preset neural network model so as to determine the influence coefficient of each environment parameter information on the air sampling operation;
the environment interference determining unit is used for determining an interference evaluation value of the current environment state in the preset range on the air sampling operation according to an influence coefficient of each piece of environment parameter information on the air sampling operation;
the air sampling area calibration unit is used for determining the distribution positions corresponding to one or more air sampling areas in the preset range according to the interference evaluation value;
further, the air sampling sub-module comprises a gas sampling unit, a first sampling action control unit and a first sampling feedback unit; wherein the content of the first and second substances,
the gas sampling unit is used for respectively acquiring at least one air sample in the one or more air sampling areas;
the first sampling feedback unit is used for generating first sampling action evaluation information according to the current sampling action state of the gas sampling unit;
the first sampling action control unit is used for adjusting at least one of sampling capacity, sampling duration, sampling frequency and sampling pressure of the gas sampling unit according to the first sampling action evaluation information;
alternatively, the first and second electrodes may be,
the air sample analysis submodule comprises a sample dilution unit, a sample dissolution unit, a sample pollutant component determination unit and a sample pollutant concentration determination unit; wherein the content of the first and second substances,
the sample diluting unit is used for diluting the at least one air sample according to a preset purified gas blending proportion;
the sample dissolving unit is used for dissolving the diluted air sample into a preset solvent at a preset speed;
the sample pollutant component determination unit is used for performing pollutant component determination processing on a solvent dissolved with the air sample so as to determine the pollutant types contained in the air sample;
the sample pollutant concentration measuring unit is used for carrying out pollutant concentration measuring treatment on the solvent dissolved with the air sample so as to determine the concentration corresponding to each pollutant;
further, the water pollutant information acquisition module comprises a hydrological parameter acquisition sub-module, a water sampling area determination sub-module, a water sampling sub-module and a water sample analysis sub-module; wherein the content of the first and second substances,
the water area parameter acquisition submodule is used for acquiring different types of hydrological parameter information within a preset range;
and the water sampling area determining submodule is used for determining the distribution positions corresponding to one or more water sampling areas in the preset range according to the different types of hydrological parameter information. (ii) a
The water sampling sub-module is used for collecting at least one water sample in the determined one or more water sampling areas according to an appointed water sampling mode;
the water sample analysis submodule is used for performing water analysis processing in a preset mode on the at least one water sample to obtain the existing state information of the water pollutants;
further, the hydrological parameter acquisition submodule comprises a static hydrological parameter acquisition unit and a dynamic hydrological parameter acquisition unit; wherein the content of the first and second substances,
the static hydrological parameter acquisition unit is used for acquiring water area distribution surface parameters and/or water area communication state parameters related to the preset range;
the dynamic hydrological parameter acquisition unit is used for acquiring at least one of a water area flow velocity parameter, a water area flow direction parameter and a water area flow parameter which are related to the preset range;
alternatively, the first and second electrodes may be,
the water sampling area determining submodule comprises a hydrological parameter analysis unit, a hydrological interference determining unit and a water sampling area calibration unit; wherein the content of the first and second substances,
the hydrological parameter analysis unit is used for learning and processing the different types of hydrological parameter information by a preset neural network model so as to determine the influence coefficient of each hydrological parameter information on water sampling operation;
the hydrologic interference determination unit is used for determining an interference evaluation value of the current hydrologic state in the preset range on the water sampling operation according to the influence coefficient of each hydrologic parameter information on the water sampling operation;
the water sampling area calibration unit is used for determining the distribution positions corresponding to one or more water sampling areas in the preset range according to the interference evaluation value;
further, the water sampling sub-module comprises a water body sampling unit, a second sampling action control unit and a second sampling feedback unit; wherein the content of the first and second substances,
the water body sampling unit is used for respectively obtaining at least one water sample in the one or more water sampling areas;
the second sampling feedback unit is used for generating second sampling action evaluation information according to the current sampling action state of the water body sampling unit;
the second sampling action control unit is used for adjusting at least one of sampling capacity, sampling duration, sampling frequency and sampling pressure of the water body sampling unit according to the second sampling action evaluation information;
alternatively, the first and second electrodes may be,
the water sample analysis submodule comprises a water pollutant component determination unit and a water pollutant concentration determination unit; wherein the content of the first and second substances,
the water body pollutant component measuring unit is used for carrying out pollutant component measuring treatment on the at least one water sample so as to determine pollutant types contained in the water sample;
the water body pollutant concentration measuring unit is used for carrying out pollutant concentration measuring treatment on the at least one water sample so as to determine the concentration corresponding to each pollutant;
further, the pollutant information analysis module comprises a state information division submodule, a state information evolution analysis submodule and a pollutant characteristic information extraction submodule; wherein the content of the first and second substances,
the state information dividing submodule is used for dividing the air pollutant existence state information and/or the water pollutant existence state information by time migration and/or place migration;
the state information evolution analysis submodule is used for carrying out deep learning analysis processing on the evolution state of the pollutants on the air pollutant existing state information and/or the water pollutant existing state information which are subjected to the division processing so as to obtain a corresponding air pollutant and/or water pollutant evolution distribution model;
the pollutant characteristic information extraction sub-module is used for determining pollutant characteristic information corresponding to the sampling area according to the evolution distribution model of the air pollutants and/or the water pollutants;
further, the pollutant feedback module comprises a pollutant source determining submodule, a pollutant diffusion trend determining submodule and a pollutant alarm submodule; wherein the content of the first and second substances,
the pollutant source determining submodule is used for determining the source area position of the air pollutant and/or the water pollutant according to the pollutant characteristic information;
the pollutant diffusion trend determining submodule is used for determining the diffusion range trend of the air pollutants and/or the water pollutants according to the pollutant characteristic information;
the pollutant alarm submodule is used for executing adaptive alarm response operation according to the source area position and/or the diffusion range trend;
further, the determining the source area location by the contaminant source determination submodule specifically includes,
the pollutant source determining submodule determines a propagation model of the pollutant in the atmospheric environment and/or the water body environment according to the characteristic information of the pollutant, and then obtains the source area position according to inversion of the propagation model;
alternatively, the first and second electrodes may be,
the pollutant dispersion trend determination sub-module determines that the dispersion range trend specifically includes,
the pollutant diffusion trend determining submodule determines a propagation model of the pollutant in the atmospheric environment and/or the water body environment according to the pollutant characteristic information, and then obtains the diffusion range trend through inversion according to the propagation model;
wherein, in the above two cases, the propagation model of the pollutant in the atmospheric environment and/or the water body environment is determined as follows:
setting a space point of a position where a pollutant source is located as (x, y, z), monitoring concentration conversion of the pollutant source in a time period t at a certain monitoring point (x ', y ', z ') to be P, and setting a corresponding wind speed as u, wherein a position W (x, y, z) corresponding to the pollutant source is as follows:
wherein S isx、Sy、SzThe standard deviation is respectively corresponding to the x direction, the y direction and the z direction, and the standard deviation Sx、Sy、SzThe calculation formula of (a) is as follows:
wherein, KxIs constant and Kx＝1.6×104，KyIs a coefficient of deviation and
compared with the prior art, the intelligent pollutant tracking system respectively acquires the air pollutant existing state information and the water pollutant existing state information of the corresponding sampling area under different external environmental conditions by arranging the air pollutant information acquisition module and the water pollutant information acquisition module to realize the large data sample acquisition of the air pollutants and the water pollutants, performs corresponding learning analysis processing on the acquired air pollutant existing state information and the acquired water pollutant existing state information by the pollutant information analysis module to determine an air pollutant and water pollutant propagation and diffusion model in the corresponding sampling area range and determine pollutant characteristic information of the sampling area range, and finally generates tracking feedback information about the air pollutants and/or the water pollutants by the pollution feedback module according to the corresponding pollutant characteristic information, therefore, timely, rapid, comprehensive and effective tracking and monitoring of air pollutants and water pollutants in a sampling area range are realized, and the intelligence and the accuracy of tracking the pollutants are improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an intelligent pollutant tracking system provided by the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic structural diagram of an intelligent pollutant tracking system according to an embodiment of the present invention. The intelligent pollutant tracking system comprises an air pollutant information acquisition module, a water pollutant information acquisition module, a pollutant information analysis module and a pollution feedback module; wherein the content of the first and second substances,
the air pollutant information acquisition module is used for acquiring the existing state information of the air pollutants corresponding to one or more sampling areas;
the water pollutant information acquisition module is used for acquiring water pollutant existing state information corresponding to one or more sampling areas;
the pollutant information analysis module is used for performing learning analysis processing on the air pollutant existence state information and/or the water pollutant existence state information to determine pollutant characteristic information corresponding to a sampling area;
the pollutant feedback module is used for generating tracking feedback information about the air pollutants and/or the water pollutants according to the pollutant characteristic information.
Preferably, the air pollutant information acquisition module comprises an environmental parameter acquisition sub-module, an air sampling area determination sub-module, an air sampling sub-module and an air sample analysis sub-module; wherein the content of the first and second substances,
the environment parameter acquisition submodule is used for acquiring different types of environment parameter information within a preset range;
the air sampling area determining submodule is used for determining the distribution positions corresponding to one or more air sampling areas in the preset range according to the different types of environmental parameter information;
the air sampling sub-module is used for collecting at least one air sample in the determined one or more air sampling areas according to a preset air sampling mode;
the air sample analysis submodule is used for carrying out air analysis processing in a preset mode on the at least one air sample so as to obtain the information of the existence state of the air pollutants.
Preferably, the environmental parameter obtaining sub-module comprises an atmospheric environmental parameter obtaining unit and a terrain environmental parameter obtaining unit; wherein the content of the first and second substances,
the atmospheric environment parameter acquisition unit is used for acquiring at least a wind speed parameter, a wind direction parameter and an atmospheric vertical disturbance parameter in the preset range;
the terrain environment parameter acquisition unit is used for performing electromagnetic wave scanning and/or shooting imaging on the preset range to determine three-dimensional image distribution information about the preset range, and acquiring a plurality of different terrain parameters about the preset range according to the three-dimensional image distribution information;
preferably, the air sampling region determining submodule comprises an environmental parameter analyzing unit, an environmental interference determining unit and an air sampling region calibrating unit; wherein the content of the first and second substances,
the environment parameter analysis unit is used for learning and processing the different types of environment parameter information by a preset neural network model so as to determine the influence coefficient of each environment parameter information on the air sampling operation;
the environment interference determining unit is used for determining an interference evaluation value of the current environment state in the preset range on the air sampling operation according to the influence coefficient of each piece of environment parameter information on the air sampling operation;
the air sampling area calibration unit is used for determining the distribution positions corresponding to one or more air sampling areas in the preset range according to the interference evaluation value;
preferably, the air sampling sub-module comprises a gas sampling unit, a first sampling action control unit and a first sampling feedback unit; wherein the content of the first and second substances,
the gas sampling unit is used for respectively acquiring at least one air sample in the one or more air sampling areas;
the first sampling feedback unit is used for generating first sampling action evaluation information according to the current sampling action state of the gas sampling unit;
the first sampling action control unit is used for adjusting at least one of sampling capacity, sampling duration, sampling frequency and sampling pressure of the gas sampling unit according to the first sampling action evaluation information;
preferably, the air sample analysis sub-module includes a sample dilution unit, a sample dissolution unit, a sample contaminant component determination unit, and a sample contaminant concentration determination unit; wherein the content of the first and second substances,
the sample diluting unit is used for diluting the at least one air sample according to a preset purified gas blending proportion;
the sample dissolving unit is used for dissolving the diluted air sample into a preset solvent at a preset speed;
the sample pollutant component measuring unit is used for carrying out pollutant component measuring treatment on the solvent dissolved with the air sample so as to determine the pollutant type contained in the air sample;
the sample pollutant concentration measuring unit is used for carrying out pollutant concentration measuring processing on the solvent dissolved with the air sample so as to determine the corresponding concentration of each pollutant.
Preferably, the water pollutant information acquisition module comprises a hydrological parameter acquisition submodule, a water sampling area determination submodule, a water sampling submodule and a water sample analysis submodule; wherein the content of the first and second substances,
the water area parameter acquisition submodule is used for acquiring different types of hydrological parameter information within a preset range;
the water sampling area determining submodule is used for determining the distribution positions corresponding to one or more water sampling areas in the preset range according to the different types of hydrological parameter information. (ii) a
The water sampling sub-module is used for collecting at least one water sample in the determined one or more water sampling areas according to an appointed water sampling mode;
the water sample analysis submodule is used for carrying out water analysis processing in a preset mode on at least one water sample so as to obtain the water pollutant existence state information.
Preferably, the hydrological parameter acquisition submodule comprises a static hydrological parameter acquisition unit and a dynamic hydrological parameter acquisition unit; wherein the content of the first and second substances,
the static hydrological parameter acquisition unit is used for acquiring water area distribution surface parameters and/or water area communication state parameters related to the preset range;
the dynamic hydrological parameter acquisition unit is used for acquiring at least one of a water area flow velocity parameter, a water area flow direction parameter and a water area flow parameter which are related to the preset range;
preferably, the water sampling region determining submodule comprises a hydrological parameter analysis unit, a hydrological interference determining unit and a water sampling region calibration unit; wherein the content of the first and second substances,
the hydrological parameter analysis unit is used for learning and processing the different types of hydrological parameter information by a preset neural network model so as to determine the influence coefficient of each hydrological parameter information on water sampling operation;
the hydrologic interference determination unit is used for determining an interference evaluation value of the current hydrologic state of the preset range on the water sampling operation according to the influence coefficient of each hydrologic parameter information on the water sampling operation;
the water sampling area calibration unit is used for determining the distribution positions corresponding to one or more water sampling areas in the preset range according to the interference evaluation value;
preferably, the water sampling sub-module comprises a water body sampling unit, a second sampling action control unit and a second sampling feedback unit; wherein the content of the first and second substances,
the water body sampling unit is used for respectively obtaining at least one water sample in the one or more water sampling areas;
the second sampling feedback unit is used for generating second sampling action evaluation information according to the current sampling action state of the water body sampling unit;
the second sampling action control unit is used for adjusting at least one of sampling capacity, sampling duration, sampling frequency and sampling pressure of the water body sampling unit according to the second sampling action evaluation information;
preferably, the water sample analysis submodule comprises a water body pollutant component determination unit and a water body pollutant concentration determination unit; wherein the content of the first and second substances,
the water body pollutant component measuring unit is used for carrying out pollutant component measuring treatment on the at least one water sample so as to determine the pollutant types contained in the water sample;
the water body pollutant concentration measuring unit is used for carrying out pollutant concentration measuring processing on the at least one water sample so as to determine the concentration corresponding to each pollutant.
Preferably, the pollutant information analysis module comprises a state information division submodule, a state information evolution analysis submodule and a pollutant characteristic information extraction submodule; wherein the content of the first and second substances,
the state information dividing submodule is used for dividing the air pollutant existence state information and/or the water pollutant existence state information by time migration and/or place migration;
the state information evolution analysis submodule is used for carrying out deep learning analysis processing on the air pollutant existing state information and/or the water pollutant existing state information which are subjected to the division processing so as to obtain a corresponding air pollutant and/or water pollutant evolution distribution model;
the pollutant characteristic information extraction submodule is used for determining pollutant characteristic information corresponding to the sampling area according to the evolution distribution model of the air pollutants and/or the water pollutants.
Preferably, the pollutant feedback module comprises a pollutant source determining submodule, a pollutant diffusion trend determining submodule and a pollutant alarm submodule; wherein the content of the first and second substances,
the pollutant source determining submodule is used for determining the source area position of the air pollutant and/or the water pollutant according to the pollutant characteristic information;
the pollutant diffusion trend determining submodule is used for determining the diffusion range trend of the air pollutant and/or the water pollutant according to the pollutant characteristic information;
the pollutant alarm submodule is used for executing adaptive alarm response operation according to the source area position and/or the diffusion range trend.
Preferably, the contaminant source determination submodule determining the source region position includes in particular,
the pollutant source determining submodule determines a propagation model of the pollutant in the atmospheric environment and/or the water body environment according to the characteristic information of the pollutant, and then obtains the position of the source area according to the inversion of the propagation model; preferably, the pollutant dispersion trend determination sub-module determines that the dispersion range trend specifically includes,
and the pollutant diffusion trend determining submodule determines a propagation model of the pollutant in the atmospheric environment and/or the water body environment according to the pollutant characteristic information, and then obtains the diffusion range trend according to the propagation model through inversion.
Preferably, in both cases the propagation model of the pollutant in the atmospheric environment and/or in the water body environment is determined as follows:
setting the space point of the position where the pollutant source is located as (x, y, z), monitoring the concentration change of the pollutant source in a time period t at a certain monitoring point (x ', y ', z ') to be P, and setting the corresponding wind speed as u, wherein the position W (x, y, z) corresponding to the pollutant source is as follows:
wherein S isx、Sy、SzThe standard deviation is respectively corresponding to the x direction, the y direction and the z direction, and the standard deviation Sx、Sy、SzThe calculation formula of (a) is as follows:
wherein, KxIs constant and Kx＝1.6×104，KyIs a coefficient of deviation and
through the mode, the position W (x, y, z) corresponding to the pollutant source can be rapidly positioned, and meanwhile, the number of parameters needing to be detected in the calculation process is small, so that the efficient measurement and the convenience for determining the pollutant source are facilitated.
From the content of the above embodiment, the intelligent pollutant tracking system respectively acquires the air pollutant existing state information and the water pollutant existing state information of the corresponding sampling area under different external environmental conditions by arranging the air pollutant information acquisition module and the water pollutant information acquisition module to realize the big data sample collection of the air pollutants and the water pollutants, performs corresponding learning analysis processing on the collected air pollutant existing state information and the water pollutant existing state information by the pollutant information analysis module to determine the air pollutant and water pollutant propagation and diffusion model in the corresponding sampling area range and determine the pollutant characteristic information of the sampling area range, and finally generates the tracking feedback information about the air pollutants and/or the water pollutants by the pollution feedback module according to the corresponding pollutant characteristic information, therefore, timely, rapid, comprehensive and effective tracking and monitoring of air pollutants and water pollutants in a sampling area range are realized, and the intelligence and the accuracy of tracking the pollutants are improved.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (6)
1. An intelligent pollutant tracking system, characterized in that:
the intelligent pollutant tracking system comprises an air pollutant information acquisition module, a water pollutant information acquisition module, a pollutant information analysis module and a pollution feedback module; wherein the content of the first and second substances,
the air pollutant information acquisition module is used for acquiring the existing state information of the air pollutants corresponding to one or more sampling areas;
the water pollutant information acquisition module is used for acquiring water pollutant existing state information corresponding to one or more sampling areas;
the pollutant information analysis module is used for performing learning analysis processing on the air pollutant existence state information and/or the water pollutant existence state information to determine pollutant characteristic information corresponding to a sampling area;
the pollutant feedback module is used for generating tracking feedback information about air pollutants and/or water pollutants according to the pollutant characteristic information;
the pollutant feedback module comprises a pollutant source determining submodule, a pollutant diffusion trend determining submodule and a pollutant alarm submodule; wherein the content of the first and second substances,
the pollutant source determining submodule is used for determining the source area position of the air pollutant and/or the water pollutant according to the pollutant characteristic information;
the pollutant diffusion trend determining submodule is used for determining the diffusion range trend of the air pollutants and/or the water pollutants according to the pollutant characteristic information;
the pollutant alarm submodule is used for executing adaptive alarm response operation according to the source area position and/or the diffusion range trend;
the contaminant source determination sub-module determining the source region location specifically includes,
the pollutant source determining submodule determines a propagation model of the pollutant in the atmospheric environment and/or the water body environment according to the characteristic information of the pollutant, and then obtains the source area position according to inversion of the propagation model;
the pollutant dispersion trend determination sub-module determines that the dispersion range trend specifically includes,
the pollutant diffusion trend determining submodule determines a propagation model of the pollutant in the atmospheric environment and/or the water body environment according to the pollutant characteristic information, and then obtains the diffusion range trend through inversion according to the propagation model;
wherein, in the above two cases, the propagation model of the pollutant in the atmospheric environment and/or the water body environment is determined as follows:
setting a space point of a position where a pollutant source is located as (x, y, z), monitoring concentration conversion of the pollutant source in a time period t at a certain monitoring point (x ', y ', z ') to be P, and setting a corresponding wind speed as u, wherein a position W (x, y, z) corresponding to the pollutant source is as follows:
wherein S isx、Sy、SzThe standard deviation is respectively corresponding to the x direction, the y direction and the z direction, and the standard deviation Sx、Sy、SzThe calculation formula of (a) is as follows:
wherein, KxIs constant and Kx＝1.6×104，KyIs a coefficient of deviation and
the air pollutant information acquisition module comprises an environmental parameter acquisition sub-module, an air sampling area determination sub-module, an air sampling sub-module and an air sample analysis sub-module; wherein the content of the first and second substances,
the environment parameter acquisition submodule is used for acquiring different types of environment parameter information within a preset range;
the air sampling area determining submodule is used for determining the distribution positions corresponding to one or more air sampling areas in the preset range according to the different types of environment parameter information;
the air sampling sub-module is used for collecting at least one air sample in the determined one or more air sampling areas according to a preset air sampling mode;
the air sample analysis submodule is used for carrying out air analysis processing in a preset mode on the at least one air sample so as to obtain the existence state information of the air pollutants;
the environment parameter acquisition submodule comprises an atmospheric environment parameter acquisition unit and a terrain environment parameter acquisition unit; wherein the content of the first and second substances,
the atmospheric environment parameter acquisition unit is used for acquiring at least a wind speed parameter, a wind direction parameter and an atmospheric vertical disturbance parameter in the preset range;
the terrain environment parameter acquisition unit is used for performing electromagnetic wave scanning and/or shooting imaging on the preset range to determine three-dimensional image distribution information about the preset range, and acquiring a plurality of different terrain parameters about the preset range according to the three-dimensional image distribution information;
the air sampling area determining submodule comprises an environmental parameter analyzing unit, an environmental interference determining unit and an air sampling area calibrating unit; wherein the content of the first and second substances,
the environment parameter analysis unit is used for learning and processing the different types of environment parameter information by a preset neural network model so as to determine the influence coefficient of each environment parameter information on the air sampling operation;
the environment interference determining unit is used for determining an interference evaluation value of the current environment state in the preset range on the air sampling operation according to an influence coefficient of each piece of environment parameter information on the air sampling operation;
and the air sampling area calibration unit is used for determining the distribution positions corresponding to one or more air sampling areas in the preset range according to the interference evaluation value.
2. The intelligent contaminant tracking system of claim 1, wherein:
the air sampling sub-module comprises a gas sampling unit, a first sampling action control unit and a first sampling feedback unit; wherein the content of the first and second substances,
the gas sampling unit is used for respectively acquiring at least one air sample in the one or more air sampling areas;
the first sampling feedback unit is used for generating first sampling action evaluation information according to the current sampling action state of the gas sampling unit;
the first sampling action control unit is used for adjusting at least one of sampling capacity, sampling duration, sampling frequency and sampling pressure of the gas sampling unit according to the first sampling action evaluation information;
the air sample analysis submodule comprises a sample dilution unit, a sample dissolution unit, a sample pollutant component determination unit and a sample pollutant concentration determination unit; wherein the content of the first and second substances,
the sample diluting unit is used for diluting the at least one air sample according to a preset purified gas blending proportion;
the sample dissolving unit is used for dissolving the diluted air sample into a preset solvent at a preset speed;
the sample pollutant component determination unit is used for performing pollutant component determination processing on a solvent dissolved with the air sample so as to determine the pollutant types contained in the air sample;
the sample pollutant concentration measuring unit is used for carrying out pollutant concentration measuring processing on the solvent dissolved with the air sample so as to determine the corresponding concentration of each pollutant.
3. The intelligent contaminant tracking system of claim 1, wherein:
the water pollutant information acquisition module comprises a hydrological parameter acquisition submodule, a water sampling area determination submodule, a water sampling submodule and a water sample analysis submodule; wherein the content of the first and second substances,
the hydrological parameter acquisition submodule is used for acquiring different types of hydrological parameter information within a preset range;
the water sampling area determining submodule is used for determining the distribution positions corresponding to one or more water sampling areas in the preset range according to the different types of hydrological parameter information;
the water sampling sub-module is used for collecting at least one water sample in the determined one or more water sampling areas according to an appointed water sampling mode;
and the water sample analysis submodule is used for performing water analysis processing in a preset mode on the at least one water sample so as to obtain the existing state information of the water pollutants.
4. The intelligent contaminant tracking system of claim 3, wherein:
the hydrological parameter acquisition submodule comprises a static hydrological parameter acquisition unit and a dynamic hydrological parameter acquisition unit; wherein the content of the first and second substances,
the static hydrological parameter acquisition unit is used for acquiring water area distribution surface parameters and/or water area communication state parameters related to the preset range;
the dynamic hydrological parameter acquisition unit is used for acquiring at least one of a water area flow velocity parameter, a water area flow direction parameter and a water area flow parameter which are related to the preset range;
the water sampling area determining submodule comprises a hydrological parameter analysis unit, a hydrological interference determining unit and a water sampling area calibration unit; wherein the content of the first and second substances,
the hydrological parameter analysis unit is used for learning and processing the different types of hydrological parameter information by a preset neural network model so as to determine the influence coefficient of each hydrological parameter information on water sampling operation;
the hydrologic interference determination unit is used for determining an interference evaluation value of the current hydrologic state in the preset range on the water sampling operation according to the influence coefficient of each hydrologic parameter information on the water sampling operation;
and the water sampling area calibration unit is used for determining the distribution positions corresponding to one or more water sampling areas in the preset range according to the interference evaluation value.
5. The intelligent contaminant tracking system of claim 4, wherein:
the water sampling sub-module comprises a water body sampling unit, a second sampling action control unit and a second sampling feedback unit; wherein the content of the first and second substances,
the water body sampling unit is used for respectively obtaining at least one water sample in the one or more water sampling areas;
the second sampling feedback unit is used for generating second sampling action evaluation information according to the current sampling action state of the water body sampling unit;
the second sampling action control unit is used for adjusting at least one of sampling capacity, sampling duration, sampling frequency and sampling pressure of the water body sampling unit according to the second sampling action evaluation information;
the water sample analysis submodule comprises a water pollutant component determination unit and a water pollutant concentration determination unit; wherein the content of the first and second substances,
the water body pollutant component measuring unit is used for carrying out pollutant component measuring treatment on the at least one water sample so as to determine pollutant types contained in the water sample;
the water body pollutant concentration measuring unit is used for carrying out pollutant concentration measuring processing on the at least one water sample so as to determine the concentration corresponding to each pollutant.
6. The intelligent contaminant tracking system of claim 1, wherein:
the pollutant information analysis module comprises a state information division submodule, a state information evolution analysis submodule and a pollutant characteristic information extraction submodule; wherein the content of the first and second substances,
the state information dividing submodule is used for dividing the air pollutant existence state information and/or the water pollutant existence state information by time migration and/or place migration;
the state information evolution analysis submodule is used for carrying out deep learning analysis processing on the evolution state of the pollutants on the air pollutant existing state information and/or the water pollutant existing state information which are subjected to the division processing so as to obtain a corresponding air pollutant and/or water pollutant evolution distribution model;
and the pollutant characteristic information extraction submodule is used for determining pollutant characteristic information corresponding to the sampling area according to the evolution distribution model of the air pollutants and/or the water pollutants.
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