554results about "Diffusion analysis" patented technology

The invention discloses a toxic and harmful substance leakage reinspection method, device and equipment based on an unmanned aerial vehicle, and a storage medium, relates to the technical field of Internet of Things and intelligent factories, and aims to solve the problem that the detection accuracy and efficiency of toxic and harmful substances are low. The method comprises the following steps: dividing a target area into a plurality of grids, and acquiring initial gas concentration data of each grid in real time through a fixed foundation sensing array; the grids with the initial gas concentration data larger than the preset concentration are determined as abnormal grids, and a reinspection flight path is dynamically generated according to the unmanned aerial vehicle parking position, the abnormal grid position and the environment parameters; the unmanned aerial vehicle is controlled to fly to the abnormal grid according to the reinspection flight path, and multi-dimensional data including visible light images, infrared thermal imaging data, gas component spectrums and space coordinate data of the abnormal grid are collected; and fusing the initial gas concentration data and the multi-dimensional data of the abnormal grid, constructing a three-dimensional dynamic concentration field model, and outputting leakage source position information and a diffusion trend.

The invention provides an industrial park soil and groundwater pollution early warning grade evaluation method and system.The method comprises the steps that production raw material components of pollution source enterprises, waste discharge data and soil heavy metal concentration evolution data in historical pollution events are integrated, optical sensing data of earth surface and underground monitoring points are combined, and the early warning grade of soil and groundwater pollution is evaluated; constructing a dynamic characteristic factor library reflecting pollution source characteristics; carrying out spatial concentration gradient calculation on the optical sensing data based on the characteristic factor library, and generating a dynamic heat map containing heavy metal distribution and migration trends at the same time; performing cross-modal analysis on the pollution source characteristics and the dynamic heat map, and establishing a spatio-temporal evolution trajectory of a pollution diffusion path; according to the diffusion rate and direction in the track, differentiated pollution risk early warning intervals are divided, and a targeted grading prevention and control strategy is generated. According to the invention, the timeliness of pollution early warning and the targeting of prevention and control measures are improved.

The invention relates to the technical field of pollution traceability, in particular to a harbor storage yard dust pollution traceability method and system, and the method comprises the following steps: collecting the real dust concentration and dust diffusion influence factors of different monitoring points in a harbor storage yard, and constructing a dust diffusion evaluation model; when the position of the pollution source is not determined, obtaining the position and the source intensity of the pollution source by using an improved sparrow search algorithm based on the real dust concentration, the dust diffusion influence factors and the dust diffusion evaluation model; obtaining a matrix estimation formula for defining an inverse Gaussian function according to a least square method estimation method, and further defining the inverse Gaussian function according to the dust diffusion evaluation model; when the position of the pollution source is determined, the source intensity of the pollution source is obtained based on an inverse Gaussian function according to the real dust concentration and the dust diffusion influence factors. According to the invention, a large amount of monitoring equipment which is high in cost and complex in installation and maintenance does not need to be installed, and the position and the source intensity of the pollution source of the port storage yard can be traced intelligently, accurately and efficiently.

The invention relates to a concrete degradation simulation method and system under continuous load-chloride ion coupling, and solves the problems that systematic research on overall mechanical property degradation of a concrete structure under the load and chloride ion coupling effect is lacked, and the degradation condition of the concrete structure in an actual service environment is difficult to comprehensively reflect. The method comprises the following steps: applying a continuous load to a test block, preparing a solution according to a stress type to determine a chloride ion diffusion direction, applying an electric field to accelerate migration and maintain test stability, and after an experiment, measuring the penetration depth and calculating a diffusion coefficient; in the process, multi-dimensional data such as cracks and acoustic emission are collected and subjected to PCA dimension reduction and redundancy removal, then damage factors are inversed through deep learning modeling in combination with dual-stage optimization and physical constraint, and finally damage and chloride ion parameters are fused to form gradient parameters fitting actual degradation. The method has the following effects that the concrete degradation process is accurately simulated, a basis is provided for durability evaluation and life prediction, and the engineering safety and economy are improved.

The invention relates to the technical field of water quality monitoring, in particular to a surface water environment online monitoring method which comprises the following steps: acquiring water quality monitoring data of urban pipe network nodes, establishing a pipe network topological structure, adjusting the topological structure in combination with a water flow direction, determining the water flow direction, performing time segmentation on the topological structure, and calculating topological change frequency. And establishing a pipe network topology evolution structure. According to the method, the topological change frequency is calculated in combination with time segments, pipe segments with obvious changes are screened, and the continuous diffusion condition of pollutants is judged by removing trend influence, extracting stable water quality characteristic information, screening continuous abnormal points and analyzing the pollution diffusion trend in combination with the topological relation in the screening of abnormal fluctuation pipeline connection. The pollution influence range is combined with concentration changes, key diffusion channels are marked, pollution duration is combined, and pollution source candidate points are screened, so that water quality monitoring can adapt to pipe network changes, and the real-time performance and the intelligent level of an urban pipe network water quality monitoring system are enhanced.

The invention provides a monitoring method for a deep-sea mining plume concentration and deposition rate monitoring device, which comprises a seabed base frame, the seabed base frame is a cubic frame structure, and the upper part of the seabed base frame is fixedly provided with an ADCP acoustic monitoring module and a sediment trapping module. According to the technical scheme, comprehensive monitoring of diffusion concentration and deposition flux of the seabed mining plume is achieved by combining acoustics, sediment trapping and other multi-source monitoring means, the system can adapt to deep-sea high-pressure and long-term operation environments, and important data support is provided for environmental impact assessment and ecological protection of seabed mining.

The invention relates to the technical field of grouting simulation tests, in particular to a test device and method for simulating dynamic water condition composite stratum tunnel grouting, and the test device for simulating dynamic water condition composite stratum tunnel grouting comprises a model box, a water storage tank, a single-ring duct piece, a dynamic water simulation system, a grouting system and a data acquisition and analysis system; the model box is filled with a permeable medium, the single-ring duct piece is arranged in the permeable medium, the grouting system is connected with the single-ring duct piece, and grouting slurry is colored; the dynamic water simulation system comprises a water supply system and a drainage system, the data acquisition and analysis system is arranged on one side of the model box and used for acquiring and analyzing the state of grouting slurry in the model box, and the problem that grouting and seepage conditions of different seepage fields cannot be visually observed and simulated in a traditional grouting test is solved. The seepage field grouting simulation test is simplified, and the seepage field grouting effect in the pore stratum cannot be effectively researched.

The invention provides an intelligent early warning method and system for phosphorus tailing improved soil heavy metal migration, relates to the technical field of computers, and accurately predicts the main migration direction of heavy metal pollutants by combining factors such as terrain gradient, hydrological flow direction and soil structure heterogeneity. The method comprises the following steps: acquiring soil information of a to-be-detected area and soil potential information of a detection point in the to-be-detected area; determining heavy metal concentration information of the detection point according to the soil potential information; the heavy metal concentration information is used for reflecting heavy metal concentration distribution conditions corresponding to different soil depths of the detection points; determining migration direction information of the heavy metal at the detection point; the migration direction information is used for reflecting the corresponding heavy metal migration direction distribution condition of the heavy metal of the detection point in the three-dimensional space; and predicting a pollution diffusion area based on the migration direction information, the organic decomposition rate and the underground water level fluctuation information, and performing visual display.

The invention provides an inspection robot path optimization method and system based on dynamic obstacle avoidance, and the method comprises the steps: enabling an inspection robot to carry out the multi-layer convolution processing of gas and wind direction data through obtaining the turbulence data of a gas leakage source, the wind direction data of a meteorological station, and environment reflection feature data in real time, and generating a high-precision gas diffusion prediction map, meanwhile, a transparent obstacle optical contour and an unstructured obstacle geometric parameter are extracted from reflection data, and a three-dimensional space mapping relation with a gas diffusion diagram is established. On the basis of the mapping relation and the preset task priority, path control parameters are dynamically generated, global path node distribution is optimized, and the robot path is made to adapt to the composite risk environment of gas concentration sudden change and obstacle movement in real time. According to the invention, the dynamic obstacle avoidance precision and the safety response speed of the inspection robot path in a complex dangerous environment are improved.

The invention relates to the technical field of environment monitoring, in particular to an underground water monitoring and early warning method and system based on multi-source data fusion, and the method comprises the following steps: obtaining water quality, flow velocity, temperature and pH value data, adjusting the collection frequency, verifying the state of a sensor, forming a water quality and geologic feature data set, analyzing rainfall, air temperature, permeability and water flow dynamic state, and obtaining a water quality and geologic feature data set. And generating a seepage trend, identifying a pollutant diffusion path, range and main path, evaluating a diffusion rate and influence, and generating a pollution diffusion early warning level in combination with permeability and risk standards. According to the invention, through fusion analysis of multi-source data, determination of the correlation between an underground water flowing mode and water quality change, timely capturing of the influence of meteorological change on underground water, accurate evaluation of pollutant diffusion path, rate and influence range, improvement of timeliness and accuracy of pollution early warning, and improvement of monitoring response speed through automatic data processing. And timely and accurate decision support is provided for groundwater resource management and pollution control.

The invention relates to the technical field of dust concentration monitoring, in particular to a dust concentration monitoring method and system in a feed processing scenario, and the method comprises the steps: collecting dust concentrations and environment parameters of all preset positions at all moments in a feed processing area to form a dust concentration sequence and an environment parameter sequence; determining an environmental action index of the dust concentration at each preset position at the current moment; determining a dust smooth characteristic value of each preset position at the current moment according to the prominence degree of all the environmental parameters of each preset position at the current moment in all the preset positions and the fluctuation degree of the dust concentration sequence of each preset position in combination with the environmental action index; and monitoring the dust concentration at the current moment by utilizing the dust concentration and the dust smoothness characteristic value of each preset position at the current moment. Therefore, the accuracy of monitoring the dust concentration is improved.

The invention provides a device for simulating the influence of deep fracture on natural hydrogen migration and an evaluation method, and belongs to the technical field of natural gas exploitation, the device comprises a core holder, an overburden pressure tracking pump, a temperature control device, a hydrogen storage tank and a nuclear magnetic device; the core holder is provided with two connecting ends; each connecting end is provided with a pressure gauge; the overburden pressure tracking pump is respectively connected with the two connecting ends; the temperature control device is connected with the core holder; the hydrogen storage tank is respectively communicated with the two connecting ends; a flow density meter is arranged on a communicating pipeline between the hydrogen storage tank and each connecting end; the nuclear magnetic device is used for forming a uniform magnetic field area at the core holder and acquiring nuclear magnetic signals of hydrogen atoms in the loaded sample in the uniform magnetic field; the evaluation method is carried out by adopting the device. According to the device for simulating the influence of the deep fracture on the migration of the natural hydrogen and the evaluation method, the migration mode of the hydrogen in the fractured reservoir can be accurately tracked and determined, and obtained experimental data are more comprehensive and accurate.

The invention provides a soil humidity detection method and system, and the method comprises the steps: determining the soil water potential of each horizontal sampling point through the soil moisture of each horizontal sampling point, and determining the diffusion attenuation rate of the humidity in a target soil region on the horizontal scale through all soil water potentials and the soil moisture tension on the horizontal scale in the target soil region; determining a sedimentation coefficient of moisture in the target soil area according to the soil moisture of each vertical sampling point, and determining permeation distribution of humidity in the target soil area on the depth scale according to the sedimentation coefficient; performing scale fusion on the attenuation rate of the humidity diffused on the horizontal scale and the permeation distribution on the depth scale to obtain the diffusion gradient of the humidity of the target soil area on the spatial scale; performing confidence humidity detection on the target soil area based on the diffusion gradient of the humidity to obtain a confidence humidity value of the target soil area; by adopting the scheme provided by the invention, multi-scale space detection of the soil humidity can be realized, so that the credible range of soil humidity detection is increased.

The invention relates to the technical field of soil monitoring, and discloses a power transmission and transformation project soil pollutant monitoring method and system, and the method comprises the steps: collecting hyperspectral image data in a power transmission and transformation project region; processing the hyperspectral image data by adopting a multi-stage spectrum transformation mechanism to obtain a characteristic wave band representing the pollutant content; inputting the characteristic wave band into a preset spectrum inversion model to generate a concentration spatial distribution diagram of the soil pollutants; and constructing a soil and groundwater diffusion model according to the concentration spatial distribution map, and generating a migration path identification map of soil pollutants and an underground pollution risk area identification map based on the soil and groundwater diffusion model. The method has the beneficial effect of improving pollution identification precision and migration prediction accuracy.

The invention provides an intrinsic solid-state ion diffusion coefficient test method and device based on optical imaging, and relates to the technical field of solid-state ion test.The method comprises the steps that a test sample is pretreated; carrying out a photoelectric test on the test sample; placing the electrochemical cell in an optical imaging system, connecting the electrochemical cell with an electrical testing system, applying a constant voltage deviating from a steady state to the monodisperse electrode plate, collecting the real-time change condition of the material under the modulation of the constant voltage in real time through an industrial camera, and outputting relational data of optical intensity and time; analyzing the diffusion path through in-situ characterization equipment, and obtaining an ion diffusion path corresponding to the to-be-detected ion battery electrode material particles in combination with dynamic information provided by an optical imaging system; and determining the characteristic time according to the relational data of the optical intensity and the time, and determining the intrinsic solid ion diffusion coefficient corresponding to the test sample by combining the characteristic time and the ion diffusion path corresponding to the to-be-tested ion battery electrode material particles.

The invention is suitable for the technical field of crack grouting, and relates to a multi-crack-characteristic visual grouting diffusion test device and method.The multi-crack-characteristic visual grouting diffusion test device comprises a multi-interface-characteristic crack structure, a grouting system, a water control system, a monitoring system and a test bed, the multi-interface-characteristic crack structure is arranged on the test bed and connected with the grouting system and the water control system, and the monitoring system is arranged on the test bed and connected with the grouting system and the water control system; the monitoring system is respectively connected with the multi-interface characteristic fracture structure and the test bed; the multi-interface characteristic fracture structure comprises a fracture top plate, a fracture bottom plate, rubber strips and a boundary height control device, the fracture bottom plate is installed on the test bed, the rubber strips are installed on the periphery of the fracture bottom plate, the fracture top plate is placed on the rubber strips on the periphery of the fracture bottom plate, and the fracture top plate, the fracture bottom plate and the rubber strips are fixed to the test bed through the boundary height control device. According to the method, the practical engineering problems of poor grouting effect, poor bonding effect and the like caused by complex crack form and construction environment conditions are effectively solved.

The invention relates to the technical field of environment monitoring, in particular to an intelligent digital rural environment monitoring system and method based on big data, and the system comprises a layered water potential collection module, a gradient reverse correction module, a path inversion modeling module and a multi-dimensional diffusion modeling module, and the layered water potential collection module calculates and generates rural soil environment monitoring data; the rural soil environment monitoring data comprises layered soil water potential distribution, soil water content gradient and a soil conductivity characteristic value, and the soil water potential abnormal flow data comprises a vertical water potential difference value, an abnormal water flow direction vector and a water flow intensity grade; the moisture permeation path distribution diagram comprises a permeation path distribution structure, a soil water potential accumulation interval and a water flow propagation direction identifier, and the diffusion boundary space model comprises a pollutant diffusion boundary range, a moisture transverse migration region and multi-dimensional diffusion rate distribution. According to the scheme, the abnormal distribution range, the duration time and the development trend are quantitatively described, and the research and judgment accuracy of the abnormal penetration and diffusion process is improved.

The invention relates to the technical field of air pollution prediction, and provides an air pollution prediction system and method based on meteorological data. The data acquisition and fusion module is used for acquiring meteorological data, air pollutant data and traffic data and carrying out fusion processing on the data; the feature extraction module is used for filling missing data, normalizing the data and extracting features; the pollution prediction module is used for carrying out short-term and long-term prediction on air pollution based on the processed data, and carrying out visual display and air pollution early warning notification on a prediction result; and a model integration module. By integrating data of a weather station, an air pollution monitoring station, a traffic monitoring system and satellite remote sensing equipment, the system realizes comprehensive monitoring of air pollution. The spatial-temporal data fusion unit is used for performing data interpolation and consistency processing, so that the coordination of data from different sources is ensured, more comprehensive and accurate input data is provided, and the reliability of a prediction result is improved.

The invention relates to the technical field of water, waste water, sewage or sludge treatment, and particularly provides a constructed wetland operation state monitoring method and system.The method comprises the steps that based on a distributed sensing node array, water flow permeation rates, medium temperature gradients and dissolved matter concentration distribution of different depths and areas of a constructed wetland are collected in real time; generating a three-dimensional dynamic thermodynamic-substance diffusion map; extracting an actual flux difference value of an input-output cross section, and calculating the deviation degree between the current actual load and the theoretical purification capacity by combining the actual flux difference value with the historical adsorption capacity of the wetland medium; and integrating the historical load data with a current early warning report corresponding to the deviation degree, constructing a medium metabolism efficiency attenuation curve, predicting the saturation adsorption periods of matrixes in different regions, and reversely deducing an optimal maintenance node. The system comprises a map generation module, a deviation degree calculation module and a period prediction module. According to the method, discrete physical-chemical-biological process parameters are converted into a continuous decision flow through a space-time coupling model.

The invention relates to a test device and method for simulating migration and transformation of nitrogen in underground water of a river bank subsurface zone, and the device comprises a detachable organic glass tank, the internal space of which is divided into a left-end water tank, a middle sand tank and a right-end water tank from left to right in sequence, and the left-end water tank, the middle sand tank and the right-end water tank are respectively used for simulating a river channel, a river bank and a far-bank aquifer; the water level control assembly comprises two constant water head control modules and platform lifting modules corresponding to the two constant water head control modules; the pore water level monitoring assembly comprises a plurality of piezometric tubes, a plurality of transparent graduated scales and a photographing module; the water quality sampling assembly comprises a pore water filtering module embedded in the middle sand tank in an array manner, a vacuum pumping module and a water sample collecting module connected with the pore water filtering module and the vacuum pumping module. Compared with the prior art, the sampling time of the pore water of the fine-particle soil is greatly shortened, and the accuracy of a test result is ensured; automatic control, whole-process monitoring and rapid and automatic sampling of water level fluctuation in the water tank are realized.

The invention discloses a three-dimensional fluorescence dynamic monitoring and automatic processing system for water quality. The system comprises a water sample collection module, a three-dimensional fluorescence spectrum detection module, a pollution fingerprint database, a spectral analysis unit, a diffusion path simulation module based on a distributed sensor network and an automatic control execution module. The diffusion path simulation module is used for acquiring spatio-temporal data through a water quality spectrum sensor, a hydrological sensor and a meteorological sensor, and dynamically predicting a pollutant migration track by combining a water body flow field model constructed by a finite volume method and a first-order dynamic fluorescence attenuation model; the automatic control execution module is based on the pollution recognition result and track prediction, emergency operations such as gate opening and closing and medicament adding are linked through a fuzzy logic algorithm, and full-process automation from monitoring to disposal is achieved. The system completes pollution identification within 10 minutes through a spectral angle mapping algorithm, and the defects that a traditional method lags in response and lacks dynamic prediction and automatic disposal are overcome.

The invention discloses a method and system for evaluating chloride ion diffusion in a concrete structure, and the method comprises the steps: carrying out a test of corroding concrete by chloride ions under a set working condition environment, and obtaining chloride ion concentrations under different erosion depths; the chloride ion diffusion coefficient under the test is solved by using the chloride ion concentrations under different erosion depths; performing expression fitting on the chloride ion diffusion coefficient under the test to obtain a chloride ion diffusion coefficient prediction model, and setting the chloride ion diffusion coefficient prediction model as a boundary condition to the neural network model; performing iterative output on the neural network model, and if the change of the output value of the neural network model between the mth time and the (m + 1) th time is smaller than a threshold value, setting the mth output value to a chloride ion diffusion coefficient prediction model to obtain an analyzed prediction model; and calculating to obtain the chloride ion diffusion coefficient under the actual working condition by using the analyzed prediction model. The degree of dependence on data can be reduced, and the prediction precision of the chloride ion diffusion coefficient is improved.

The invention discloses a soil oxygen dynamic prediction method for precision agriculture, and belongs to the technical field of soil oxygen prediction, and the method comprises the following steps: S1, collecting key parameters of different soil depths in a research area, and S2, calculating a soil oxygen diffusion coefficient according to the key parameters of different soil depths in the research area; s3, calculating the respiration rate of the soil root system; s4, constructing a soil oxygen consumption model; and S5, carrying out iterative calculation to obtain soil oxygen concentration distribution at different moments and different depths. The method can solve the problem that the oxygen concentration of the soil is influenced by complex factors such as moisture, temperature, porosity, root respiration and microbial activity, and provides a scientific basis for precise agricultural irrigation, soil health assessment and oxygenation irrigation strategy optimization.

The invention relates to the field of material performance detection, and discloses a corrugated paper moisture regain resistance detection method and system, and the method comprises the steps: firstly obtaining a corrugated paper sample storage environment, collecting environment data, carrying out dynamic moisture absorption analysis according to the environment data, and calculating a moisture permeation rate; analyzing the damp state of the structure in combination with the rate, querying a moisture regain index, and then carrying out layered humidity detection to obtain interlayer moisture change data; calculating anti-moisture regaining residual strength based on the data, generating an anti-moisture efficiency index by combining temperature and humidity, and dividing moisture regaining risk grades; and finally, configuring multi-order early warning indexes according to grades, positioning an edge moisture absorption area, calculating a diffusion gradient value, generating a humidity stable signal, sending the humidity stable signal to the terminal, and formulating a moisture regain detection strategy according to feedback. The corrugated paper moisture regaining detection accuracy can be guaranteed.

The invention relates to the technical field of diffusion testing, in particular to a water-rich sand layer permeation grouting diffusion effective distance formula determination method, which comprises the following steps: building a water-rich sand layer grouting model test platform, carrying out an orthogonal model test by virtue of the test platform, obtaining test data, and determining the effective distance of permeation grouting diffusion of a water-rich sand layer according to a dimensional analysis theory in combination with the test data of the orthogonal model test. Deriving a calculation formula of the permeation grouting diffusion distance of the water-rich sand layer, drilling holes at different diffusion distances of a stone body formed in the grouting test platform to obtain a stone body rock core, and constructing a relational expression between the slurry filling rate and the actual diffusion distance of the corresponding slurry according to the slurry filling rate in the drilled core at different positions; and the corresponding diffusion distance is obtained through the relational expression of the grout filling rate and the corresponding diffusion distance, the corresponding diffusion distance is compared with the actual diffusion distance of the grout to obtain a reduction coefficient, and the reduction coefficient is substituted into the calculation formula of the permeation grouting diffusion distance of the water-rich sand layer to obtain the calculation formula of the effective permeation grouting diffusion distance of the water-rich sand layer.

The invention discloses a cross-medium transmission simulation device and method for pollutants between soil and underground water, and relates to the technical field of environmental governance, and the cross-medium transmission simulation device for pollutants between soil and underground water comprises a soil layer system and an underground water system. The soil layer system comprises a base and a soil box arranged on the base in the vertical direction, the soil box is used for containing test soil, and the base is provided with a first water permeable hole used for being communicated with the soil box. The underground water system comprises a water tank, a mounting opening is formed in the upper side of the water tank and used for allowing the base and the soil box to sequentially penetrate through, and the height of the inner side of the water tank is larger than that of the base so that water in the water tank can penetrate through the first water permeable holes and make contact with a soil layer in the soil box. By comparing the content of the pollutants at the same position, the blocking effect of the blocking agent on the pollutants can be evaluated, and the blocking effect of the blocking agent during cross-medium transmission of the pollutants between the soil and the underground water can be evaluated on the whole.

The invention provides a slurry diffusion interpretation method and system based on resistivity and radar signal combination, and relates to the technical field of geotechnical engineering.The method comprises the steps that water-rich comprehensive study and judgment are conducted on a to-be-excavated area of a tunnel face, and a non-water-rich stratum and a water-rich stratum are obtained; aiming at a non-water-rich stratum, an electrode net arranged on the surface of a tunnel face is utilized to invert a diffusion path and a diffusion range of slurry based on resistivity change; for a water-rich stratum, while an electrode net is arranged, a radar sensor is arranged in a peripheral area of a tunnel face, a diffusion path and a diffusion range of slurry are preliminarily positioned through resistivity, and then the diffusion path and a diffusion boundary are restrained and corrected in combination with radar signals of the radar sensor; according to the method, corresponding tracking interpretation methods, especially non-water-rich stratums are adopted for different stratum environments, combined interpretation of slurry diffusion is achieved in the mode that the resistivity is combined with radar signals, and the accuracy and robustness of slurry diffusion tracking are improved.

The invention relates to the technical field of pollutant monitoring, in particular to an industrial solid waste blending combustion pollutant intelligent monitoring system which comprises a data fusion module, a diffusion judgment module, a concentration prediction module, a risk monitoring module and an early warning distribution module, and the trend of particulate matter and gas monitoring data is analyzed based on a blending combustion reaction furnace outlet and a smoke exhaust pipeline section. According to the invention, through combined processing of multi-point time sequence monitoring data, various pollutants and environmental parameters are collected in real time, precise spatial partitioning of a monitoring object, coupling analysis based on meteorological factors and spatial diffusion characteristics, dynamic identification of response differences of pollutants in each area of a factory, and through extraction of a concentration change interval and a risk trend signal, a real-time monitoring result is obtained. According to the method, emission risk types are subdivided, graded intervention information is generated, the response speed and the judgment capability of abnormal states of pollutants under complex environment disturbance are improved, dynamic adaptation and detailed management and control of an intelligent monitoring system are promoted, and high-reliability decision making of emission control in various scenes of a plant area is further supported.

The invention relates to the field of pollutant monitoring, in particular to an indoor decoration harmful substance monitoring and early warning method and system based on multi-sensor analysis. The method comprises the following steps that decoration whole-process parameter collection is carried out based on multiple sensor nodes, regional parameter distribution fitting is carried out, and an all-weather monitoring reference database is constructed; performing air pollutant identification marking on the all-weather monitoring reference database, and performing multi-time-point concentration change evolution analysis to obtain a multi-time-point concentration distribution evolution model; carrying out dynamic pollutant diffusion mining on the multi-time-point concentration distribution evolution model, carrying out combined pollution evaluation calculation, and constructing a multi-pollutant combined diffusion risk chain; dynamic interpolation modeling is carried out on the multi-time-point concentration distribution evolution model, micro-scale space-time disturbance reconstruction is carried out, and a pedestrian disturbance space-time diffusion model is constructed. According to the invention, through accurate and efficient risk assessment of indoor decoration harmful substances, dynamic early warning is carried out, and the safety of indoor decoration is improved.

Disclosed in the present invention is a method for acquiring key parameters for pollutant migration under the influence of site scale temperature-hydrodynamic coupling, which method involves acquiring a permeability parameter, a heat conductivity coefficient and a dispersion coefficient of a pollution site on the basis of multi-field coupling numerical simulation of a hydrodynamic field, a temperature field and a concentration field. The pollutant migration parameter of a site is a key indicator for the investigation and management of organic pollution of the site. At present, the acquisition of parameters of an aquifer mainly depends on hydrogeological survey work, so a test method and a physical field are simplistic. On this basis, the method is provided in the present invention. The method illustrated in the present invention comprises: for an organic pollution site, establishing a water-heat-salt coupling model in an early stage by means of site drilling data and an on-site physical test result; on the basis of a site model and in view of on-site multi-party data, performing multi-field coupling numerical inversion; and adjusting model parameters by means of a manual trial-and-error method, so as to improve the model precision and obtain an optimal model.