802results about "Diffusion analysis" patented technology

The invention discloses an ecological pollution migration path analysis and early warning method and system based on soil heavy metals, and particularly relates to the technical field of ecological pollution. Monitoring points are arranged around a pollution source, micro CT scanning is combined to analyze permeability changes of soil under different humidity, a synchrotron radiation X-ray spectrometer is utilized to analyze dynamic changes of chemical forms of heavy metal, and the influence of humidity changes on migration paths and form transformation is comprehensively evaluated. The deviation degree of a model prediction result and an actual migration behavior is quantified, early warning signals of different levels are generated for the situation with the high deviation degree, corresponding measures are taken, the complex influence of abnormal soil characteristics on heavy metal migration is dynamically responded, and therefore the harm of soil pollution diffusion to the environment and ecology is effectively prevented and controlled.

The invention relates to the field of environmental pollution monitoring, in particular to an on-line environmental pollution monitoring method and system, and the method comprises the steps: collecting the pollutant concentration data of a parking lot, and carrying out the data preprocessing to obtain the pollutant concentration preprocessing data; extracting spatial distribution characteristics and time characteristics of pollutant diffusion from the pollutant concentration preprocessing data according to a multivariable space-time prediction model, and comprehensively analyzing the space-time trend of pollutant diffusion to obtain the diffusion trend of the pollutant concentration and obtain the predicted concentration of the pollutant; performing data analysis on the predicted pollutant concentration and a preset safe concentration threshold value, and when the predicted pollutant concentration is greater than the preset safe concentration threshold value, triggering an alarm and performing ventilation operation; the problems that pollutant monitoring in a parking lot is not comprehensive enough, pollutant concentration cannot be effectively predicted in time, and a high-concentration area of pollutants cannot be judged in time, so that air quality cannot be optimized and managed in time, and personnel health cannot be guaranteed are solved.

The invention discloses a tunnel grouting diffusion form prediction system and method. The system comprises a tunnel simulation device used for preparing a tunnel model with cracks to simulate a tunnel rock mass; the grouting simulation system is used for conducting grouting on the tunnel simulation device by adjusting grout diffusion influence factors, and the grout diffusion state under the influence of multiple factors is obtained. The grouting diffusion form quantification system is used for cutting the grouted tunnel simulation device to obtain a plurality of slices at depth positions, and performing grid division on the surface of the slice at each depth position to obtain a grout diffusion form quantification data set; and the grouting diffusion form prediction system is used for constructing a multi-modal space-time fusion depth prediction model and inputting the grout diffusion form quantitative data set into the multi-modal space-time fusion depth prediction model to predict the diffusion form of the future grout. According to the method, the prediction model is established, and the grout diffusion form quantitative data set is used as the space-time sequence data set, so that the space-time prediction of the grouting diffusion form is realized.

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 discloses a regional heavy pollution discriminating and forecasting system and method based on big data, and relates to the technical field of environmental pollution monitoring. Comprising a multi-source data acquisition module, an adaptive weight distribution module, a feature extraction module, a heavy pollution discrimination module, a pollution diffusion path simulation module, an intelligent early warning and protection suggestion module, an event-driven dynamic monitoring module and a multi-scale meteorological prediction optimization module. And the pollution diffusion path simulation module performs prediction analysis on a pollution diffusion path and an influence range by using a diffusion path simulation algorithm. By designing the pollution diffusion path simulation module and the intelligent early warning and protection suggestion module, the pollutant diffusion path prediction and early warning functions are realized, and the problem that early warning lags due to the fact that the pollution diffusion path simulation and early warning module is separated and cannot realize timely linkage of prediction results and protection suggestions is solved; and a more timely and effective prevention and control strategy is provided, and the capability of coping with heavy pollution events is enhanced.

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 belongs to the technical field of environmental atmospheric pollutant assessment, and discloses a method for assessing the influence of fireworks and crackers on atmospheric PM2.5, which is suitable for assessing the particulate matter pollution influence of a fireworks setting-off point source in a specific area on a surrounding environmental air quality monitoring station, and realizes PM2.5 emission diffusion simulation and traceability of centralized setting-off of fireworks and crackers. The characteristics of Gaussian diffusion, puff diffusion and computational fluid mechanics theories are integrated, PM2.5 influence evaluation of areas and cities can be achieved, firework and cracker pollution contribution key areas can be recognized, rapid response of pollution emission reduction measures can be achieved, and then more effective supervision and control over centralized setting-off of fireworks and crackers can be achieved.

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 belongs to the technical field of underground water pollution source tracking, and particularly relates to an underground water pollution source analysis method based on multiple tracers and electronic equipment. The method comprises the following steps: setting a monitoring point; acquiring concentration information of various tracers in the underground water; drawing a plurality of tracer agent spatial distribution diagrams; determining an initial key pollution area and an initial migration diffusion area; simulating the historical pollution state of underground water according to the underground water fluid model; simulating a historical key pollution area and a historical migration diffusion area of underground water by combining the initial key pollution area and the initial migration diffusion area; and determining a pollution source and a migration and diffusion direction according to changes of the historical key pollution area and the historical migration and diffusion area. The underground water flow information is introduced, the determined pollution source position is accurate, a fluorescent tracer agent does not need to be put, and underground water is not affected.

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 provides a deep-sea mining plume diffusion in-situ monitoring system and a monitoring method thereof, the deep-sea mining plume diffusion in-situ monitoring system comprises a monitoring center node device and a portable monitoring node device, and mining plume diffusion in-situ monitoring can be carried out through a monitoring network. According to the method, in-situ monitoring of the plume of the sediment can be achieved, the method has important significance on mining environment influence evaluation, an in-situ means for effectively positioning three-dimensional space distribution of the plume is filled up, and the requirement for monitoring the deposition thickness of plume particles is met. The plume influence environment element change relation is constructed, and the blank of plume environment influence total element monitoring is filled. The establishment of the relationship between plume diffusion and environmental element change is beneficial to the quantitative evaluation of the mining environment influence. The system can monitor and analyze the physical and chemical process, biological diversity influence and the like of the surrounding environment of mining activities, observation data can provide effective real parameters for plume numerical simulation, data support can be provided for environmental parameter prediction and benthic organism class group influence prediction, and three-dimensional space distribution of plumes can be obtained.

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 provides a method for predicting the effective diffusion coefficient of nuclides in bentonite. The method comprises the steps of obtaining a data set; the data set comprises the pH value of underground water; and constructing a nuclide effective diffusion coefficient model by using the data set, and predicting the effective diffusion coefficient of a certain radioactive element in bentonite by using the constructed nuclide effective diffusion coefficient model. According to the method provided by the invention, the prediction precision of the effective diffusion coefficient of the nuclide can be effectively improved.

The invention relates to a GIS particle defect evaluation method and equipment fusing vibration and partial discharge, and the method comprises the steps: obtaining an ultrasonic signal and an ultrahigh frequency signal caused by the partial discharge of a GIS, generating a phase distribution diagram of the partial discharge, comparing the phase distribution diagram with a reference map, and judging whether a particle defect exists or not; for particle defects, the particle size is calculated based on the average discharge capacity and the maximum discharge capacity of the ultrahigh-frequency signals; and acquiring a vibration signal, combining the calculated particle size, outputting the predicted particle horizontal diffusion area and the maximum jumping height, and calculating a danger degree index of the particle defect so as to evaluate the danger degree of the GIS particle defect. Compared with the prior art, the method has the advantages that the sensitivity, the accuracy and the real-time performance of detection are improved, and more comprehensive evaluation is provided for the health state of the GIS equipment.

The invention relates to the technical field of grouting effect detection, and discloses a method, a system, a medium and equipment for detecting slurry vein distribution after rock-soil body grouting, and the method comprises the following steps: before and after grouting, respectively drawing wave velocity contour lines in a three-dimensional space for a grouting area; the wave velocity contour lines before and after grouting are compared, and after a wave velocity abnormal area is obtained, a slurry three-dimensional distribution model is formed according to inversion of the wave velocity abnormal area; wherein the step of drawing the wave velocity contour line in the three-dimensional space comprises the steps of calculating the wave velocity through the coordinate difference and the time difference between an emitter and a receiver, establishing a wave velocity three-dimensional vector, dispersing a grouting area into equidistant wave velocity points, taking the distance from the wave velocity points to a straight line where the wave velocity three-dimensional vector is located as a weighting factor, and drawing the wave velocity contour line in the three-dimensional space. And carrying out weighted distribution on the wave velocities in different directions to obtain a wave velocity corresponding to each wave velocity point, and drawing a wave velocity contour line in a three-dimensional space. The grouting effect three-dimensional imaging detection can be realized, and the advantages of wide coverage area, high detection precision and the like are realized.

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 discloses a shallow sea environment intelligent monitoring system and method using multi-buoy combination, and relates to the technical field of marine environment monitoring. The monitoring system comprises an equipment combination module, a response area division module, an area change tracking module, an area correction module and an area detection module, and is technically characterized in that a buoy is divided into a plurality of gradient intervals according to the distance between the buoy and the nearest coast as the standard; then, according to the change condition of the concentration of the detected object along with time in the same gradient interval or different gradient intervals, the movement direction and the movement speed of the detected object are analyzed, so that the diffusion position of the detected object is predicted in advance, a basis is provided for capturing aquatic products or treating the environment, and the variability of the marine environment is adapted; and on the basis of calling the historical diffusion trend of the detection substances with the same or similar concentration from the database, the diffusion trend of the detection substances is corrected, so that the analysis accuracy of the diffusion trend of the detection substances is ensured.

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.