1943results about "Surface/boundary effect" patented technology

The invention relates to the technical field of data processing, and discloses a hazardous chemical substance leakage and diffusion prediction method and system based on an unmanned ship, and a storage medium. The method comprises the following steps: acquiring water quality, weather and geographic data through an unmanned ship sensor, and processing to obtain an initial data set; calculating a diffusion range according to the data, optimizing a monitoring area, and generating a cooperative monitoring track; performing exception elimination and smoothing processing on the data, and constructing spatial distribution; solving a convection diffusion equation, and establishing a three-dimensional flow field model; analyzing a hazardous chemical substance diffusion path, and predicting pollutant distribution; and establishing a risk assessment system, and generating emergency disposal suggestions and decision-making schemes. According to the application, rapid and accurate monitoring of the polluted area is realized through the multi-parameter sensor array carried by the unmanned ship, and accurate prediction of the hazardous chemical substance pollutant diffusion process is realized in combination with multi-source data fusion processing and a three-dimensional flow field simulation technology.

The invention relates to the technical field of water quality monitoring, in particular to a mining area groundwater environment monitoring system and method, and the system comprises a mining area groundwater partition recognition module, a groundwater pollution risk assessment module, a groundwater monitoring point optimization module, a groundwater pollution path analysis module and a groundwater dynamic monitoring planning module. According to the invention, through data-driven zoning and risk assessment processes, fine and dynamic management is realized in underground water environment monitoring, functional zone zoning boundaries are accurately calibrated, understanding of an underground water flowing mode is enhanced, pollution source control is more targeted, diffusion risk intensity is assessed in combination with flow velocity and pollutant release intensity, and the risk assessment accuracy is improved. The risk management strategy is optimized, the pollution diffusion range is predicted and identified more efficiently, the emergency response accuracy is improved, monitoring point arrangement is optimized through risk data, reasonable monitoring resource allocation is ensured, the sampling task weight and the time interval are dynamically adjusted, and resource optimization and monitoring efficiency improvement are achieved.

The invention relates to the technical field of grouting simulation tests, in particular to a sandy gravel stratum catastrophe grouting prevention and control virtual-real blending collaborative test method and system, and the method comprises the steps: carrying out a grouting test on a sandy gravel stratum simulation model, and obtaining grouting parameters and monitoring parameters in the grouting process; based on the resistivity and the radar data, further obtaining a slurry diffusion path and a diffusion range of the area with the higher surrounding rock grade; based on the resistivity and the optical fiber sensing data, the slurry diffusion path and the diffusion range of the area with the low surrounding rock grade are further obtained; inputting the initial grouting parameters into the trained neural network model to obtain simulation data; carrying out preprocessing and alignment operation on the previous data, and carrying out fusion analysis; and according to the fusion analysis result, grouting equipment parameters and a grouting scheme are pre-controlled and adjusted. And real-time regulation and control of a grouting scheme and equipment are realized.

The invention relates to the technical field of offshore area monitoring, in particular to an offshore area pollutant diffusion real-time tracking and traceability monitoring system. The method comprises the following steps: a data perception and fusion unit collects and preprocesses data, carries out space-time calibration and multi-source fusion, and outputs a standardized fusion space-time sequence; the pollutant diffusion simulation and prediction unit calculates a flow velocity field, simulates a diffusion process and predicts a trend; the pollutant traceability positioning unit tracks a pollution path and inverts pollution source parameters; the emergency decision support unit determines a risk level and generates an emergency plan. And through a space-time alignment algorithm and a multi-source fusion mechanism, the data consistency and reliability are improved, a high-quality data basis is provided for subsequent processing, and the monitoring accuracy is guaranteed.

The invention relates to the technical field of atmospheric pollutant detection, and discloses a method and a system for detecting excessive emission of atmospheric pollutants. The method comprises the following steps: acquiring pollutant concentration data of multiple monitoring points in a target area to form an original data set; abnormal value detection and correction are carried out on the data set, sensor fault outliers are eliminated, and a preprocessed data set is obtained; extracting concentration change trend characteristics in a preset time window of each monitoring point, and constructing a spatial-temporal characteristic matrix; inputting the matrix into a pollutant diffusion model, calculating a transmission path and strength between monitoring points, and generating a regional transmission network; identifying a potential source region of abnormal fluctuation of pollutant concentration based on a network, and marking the potential source region as a candidate region to be checked; performing multi-scale concentration gradient analysis on the candidate area, and determining a key monitoring area; arranging mobile equipment in the key monitoring area, and collecting high-precision component data; and comparing the data with a standard emission source feature library, matching emission source types of which the similarity exceeds a threshold value, judging whether the emission exceeds the standard or not, and generating a detection report.

The invention relates to a concrete chloride ion gradient monitoring and durability enhancing method and system based on MXene, and solves the problems that a traditional drilling sampling method is high in operation process destructiveness, high in cost and low in detection efficiency, test results are remarkably influenced by environmental conditions, and field real-time performance and universal applicability are lacked. The method comprises the following steps: embedding a plurality of prefabricated sensing units containing MXene-Cl composite electrode layers and toughening protection layers into concrete at different depths according to a vertical gradient to form a monitoring network; potential signals are collected through a sensing unit, after correction, the potential signals are introduced into a Nernst equation for inversion to obtain the chloride ion concentration, and osmotic distribution imaging is achieved by combining a preset vertical and transverse gradient estimation method. The intercalation adsorption characteristic of MXene on chloride ions is utilized to capture and retard migration of the chloride ions to the reinforcing steel bar. The method has the advantages that chloride ions are monitored in real time, migration of the chloride ions to the steel bars is blocked, the concrete degradation state is evaluated in combination with multi-parameter data, and early warning and durability improvement are achieved.

The invention relates to the technical field of multi-sensor fusion, in particular to a detection method and system for silicon steel magnesium oxide adhesiveness. Particulate matter matching analysis is carried out based on the corresponding magnesium oxide coating particle condition and the silicon steel surface condition; the particle bonding effect is evaluated based on the particle matching analysis result and the fluidity condition of the coating in the scene, and the magnesium oxide adhesion quality is predicted based on the evaluation result of the particle bonding effect and the shaking condition of the equipment in the coating process. The characteristics of the coating, the surface condition of the silicon steel, the coating environment, dynamic factors in the coating process and the like are comprehensively considered, the adhesiveness of magnesium oxide is evaluated and analyzed from multiple dimensions, and the multi-dimensional analysis method provides a more scientific and more accurate evaluation means for the silicon steel coating technology.

The invention discloses a method and a device for testing moisture migration characteristics of frozen soil under low-temperature nuclear magnetic triaxial seepage, and relates to the technical field of frozen soil testing. In order to solve the problems that in the prior art, compatibility control of freezing and seepage cannot be achieved, and whole-process evolution of frozen soil moisture migration characteristics is difficult to dynamically capture, the scheme comprises the following steps that the real confining pressure, axial pressure and seepage speed of the environment where a soil sample is located are simulated; collecting a nuclear magnetic resonance image and an overall and layered T2 spectrum of the soil sample before freezing under the action of seepage; gradually freezing the soil sample based on different temperature gradients, and collecting a nuclear magnetic resonance image and an overall and layered T2 spectrum of the soil sample under the seepage and freezing coupling action in real time; data are collected according to the whole soil sample freezing process, and the evolution law of water migration characteristics in the soil body freezing process is analyzed. According to the invention, the whole-process, visual and nondestructive detection is realized, and the whole-process evolution rule of water migration characteristics such as unfrozen water content and pore cracks in the frozen soil under the seepage and freezing coupling action can be accurately captured.

Disclosed are a visualization grouting device for coal and rock fissures and a test method, a test device including a visualization fissure grouting box body, a box body bracket, a grouting device and a monitoring device. A bottom plate is divided into four identical areas, rubber cushion blocks with different specifications are arranged to simulate different fissure widths and tortuosity, artificial protolith thin film is pasted inside, and a grouting hole and a plurality of pressure measuring holes are arranged in the center of the upper top plate. In the present disclosure, the grouting process of fissures under different grouting conditions, such as different fissure widths, roughness, grouting resistance and tortuosity of pore channels can be simulated, the grouting under different fissure conditions can be simultaneously simulated, and the differences of different grouting diffusion forms can be clearly and intuitively analyzed and compared through the visualization box body.

The invention relates to the technical field of underground engineering groove wall stability physical simulation, and discloses a model test device and method for stratum excavation and grouting reinforcement, and the model test device comprises a grooving construction module, a grouting support module and a dynamic monitoring module. The device adopts a pressing plate method to simulate a grooving excavation process, so that the device conforms to an actual excavation working condition from top to bottom; a servo motor drives a power lead screw to drive a model groove to move downwards, so that a free face is formed in a sand layer, and the actual excavation working condition is simulated; a water tank for storing fresh slurry is pressurized by using an air compressor, so that the slurry overflows from the hollow model groove section, and the permeation and invasion process of the slurry is simulated; and a water and soil pressure gauge and a matched acquisition device are arranged in the sand layer, and a soil displacement field is obtained by utilizing a particle image velocity measurement system, so that the visualization of the whole process of excavation-grouting-invasion is realized. It is ensured that simulation results are highly matched with actual working conditions, and accuracy and reliability are improved.

The invention discloses a heavy metal infiltration risk prediction method for reclaimed water irrigation mining and metallurgy area greenbelt soil, which comprises the following steps: detecting the contents of heavy metals and salt ions in mining and metallurgy area reclaimed water and greenbelt soil, and detecting the physicochemical properties and hydraulic parameters of the soil; carrying out experimental simulation on the basis of detection data to obtain heavy metal form distribution and chemical equilibrium parameters of each phase of soil, then constructing a soil mineral phase-organic matter heavy metal adsorption kinetic model, constructing a soil solid phase equilibrium adsorption capacity calculation model, and further constructing a reclaimed water driven heavy metal geochemical migration process model; the heavy metal content of the mining and metallurgy area soil serves as an initial input item of the migration process model, and the heavy metal infiltration flux of the mining and metallurgy area greenbelt soil in the target prediction time is predicted in a rolling mode according to the heavy metal concentration of the recycled water; and calculating the heavy metal pollution index according to the predicted heavy metal infiltration flux. The method can quickly, accurately and economically evaluate the heavy metal infiltration risk of the reclaimed water irrigated green land soil.

The invention discloses a BIM-based bridge high pier construction safety monitoring method and system, and relates to the technical field of BIM, a dust concentration prediction vector P is calculated through an environment feature set T, high-precision prediction of dust diffusion concentration is realized, and the dust distribution condition of a construction site is more prospective. Then, according to the scheme, the dust fall parameter set D is formulated in combination with the dynamic change of the dust concentration, the dynamic dust fall strategy is executed, the spraying scheme can be adjusted according to the real-time environment, the dust fall efficiency is effectively improved, and the problems of water resource waste and uneven coverage existing in a traditional spraying mode are solved. Besides, through a feedback mechanism of a dust concentration error D, an environment safety index ZS is calculated and compared with a preset construction area trigger threshold ST, iterative optimization of a dust fall parameter set D is achieved, it is ensured that the construction environment is always in a controllable range, and potential safety hazards caused by excessive dust are avoided.

The invention discloses a DNAPLs pollutant diffusion migration path depicting method and system, and relates to the technical field of pollution monitoring, and the method comprises the steps: obtaining the soil conductivity of a target region through an improved TDR probe, obtaining the time sequence characteristics and spatial characteristics of a soil conductivity data set, obtaining the fusion spatial-temporal characteristics, calculating the spatial-temporal similarity of historical migration paths, and obtaining the DNAPLs pollutant diffusion migration path depicting result. Screening prior knowledge; constructing a space-time prediction model by using a graph neural network and priori knowledge, extracting deep space-time features from a space adjacent graph and a time-dependent heterogeneous graph corresponding to the target region, and obtaining a conductivity prediction value of a future time step; the diffusion direction of the pollutants is deduced by combining the relation between the resistivity and the DNAPLs concentration, migration frontal surface diagrams at different time points are drawn, and dynamic path visualization is achieved. According to the method, the improved TDR (time domain reflectometry) technology and the deep learning model are combined, so that high-precision monitoring and prediction of the dynamic migration process of the pollutants are realized.

The invention discloses a precise fertilization method, system and device for a rice transplanter, and relates to the technical field of rice cultivation. Comprising the following steps: dividing a to-be-fertilized field into a plurality of sub-regions, analyzing the concentrations of nitrogen, phosphorus, potassium and organic matters, and taking an average value as the nutrient content of the field; the soil compactness is analyzed, and the nutrient penetration depth index is calculated in combination with environmental parameters such as soil temperature and humidity mean values; acquiring field salinity and alkalinity data, and calculating a soil nutrient effectiveness index in combination with the environmental parameters; correcting the fertilization longitudinal spacing and the fertilization depth according to the nutrient effectiveness index and the penetration depth index to obtain an accurate value; finally, the rice precise fertilization operation is completed through a rice transplanter according to the precise fertilization depth and the longitudinal distance. According to the method, soil nutrients and environmental parameters are dynamically combined, the fertilization precision is optimized, and the fertilizer utilization efficiency is improved.

The invention relates to a soil detection system and a detection method. Soil detection equipment comprises a sampling module, a positioning module for generating original point sampling coordinates, a sample treatment module for chemical, electrochemical and biological treatment means, a detection module, a detection database, a detection control module, a generating and sending module and a sending and receiving module. The detection method comprises the steps of sampling and processing, binding coordinates, comparing abnormal data through preliminary detection, generating a pollution map, carrying out secondary detection on abnormal data, calculating a spatial uncertainty index, dynamically generating a near-origin secondary sampling coordinate, circularly sampling and detecting until the index reaches the standard or the density upper limit, and finally generating the pollution map and a prediction model. And the detection database is updated and optimized through machine learning.

The invention discloses a three-dimensional large-size dynamic water grouting simulation diffusion test device and a test method, and belongs to the technical field of dynamic water grouting engineering. The test device comprises a variable-pressure water supply device, a grouting device, a simulation grouting pipeline and a monitoring system. The simulated grouting pipeline comprises a water inlet pipeline, a grouting pipeline and a drainage pipeline, and the grouting pipeline can be split into an upper part and a lower part, so that the grouting plugging body can be conveniently taken out for subsequent research. The monitoring system comprises a pressure sensor, an ultrasonic flowmeter, a high-speed camera, a computer, a distributed optical fiber and an optical fiber decoder. According to the testing device and the testing method, the plugging performance of the slurry in the flowing water karst pipeline under the complex geological condition can be measured, the optimal construction parameters are selected according to site conditions, and research on flowing water grouting slurry rheological characteristics and a diffusion theoretical model is achieved through the optical fiber monitoring technology.

A method of analyzing a caprock of an aquifer includes determining, using a laboratory measurement device, a threshold hydraulic gradient of the caprock at which brine flows vertically in the caprock. The method further includes determining a breakthrough pressure of the caprock, wherein the breakthrough pressure reflects a difference between a CO2 pressure in the aquifer and a brine pressure in the caprock. The method further includes calculating, via a computing system that includes one or more hardware processors, an effective breakthrough pressure of the caprock based on the threshold hydraulic gradient and the breakthrough pressure, wherein the effective breakthrough pressure accounts for non-Darcy flow of the brine within the caprock.

The invention discloses a monitoring method and system for identifying crop drought based on leaf morphology, and relates to the field of agricultural drought monitoring, and the method comprises the following steps: selecting a completely unfolded healthy leaf, cleaning with ultrapure water, blow-drying with nitrogen, and fixing on a standard objective table to obtain a standardized leaf sample; based on the standardized leaf sample, a high-resolution scanner is used for obtaining a front gray image and a back gray image of the leaf, and a binary image with a clear vein network is obtained through image splicing and binarization processing; skeletonizing the binary image with the clear vein network, and calculating the vein fractal dimension by adopting a box counting method to obtain a fractal dimension change rate; the method is in a fixed detection area of a standardized leaf sample. Through innovative leaf vein fractal dimension analysis and contact angle dynamic measurement, a crop drought monitoring system is constructed, and in the aspect of leaf vein analysis, skeletonization processing and a box counting method are adopted to realize accurate quantification of a leaf vein network topological structure.

The invention belongs to the technical field of direct shear-seepage tests of rock joints, and discloses a numerical test method for direct shear-seepage of rock joints under different boundary conditions, which comprises the following steps of: establishing a joint surface numerical model by using finite element software, and performing tests for simulating joint shear mechanical behaviors by applying different boundary conditions. And the contact state and the opening distribution of the joint surface under different shear displacements are obtained, so that the shear stress evolution mechanism of the joint surface is better revealed, and the mechanical behavior of the rough joint surface in the shear process is accurately expressed. According to the method, the evolution law of mechanical properties in the joint shearing process can be reflected, the influence of shearing deformation on the joint seepage characteristics can be reflected, joint opening data distribution is imported into programming software to be processed, a joint seepage numerical model is constructed, then multi-physics field simulation analysis software is imported, and the joint seepage performance is improved. The flow velocity, the osmotic pressure and the streamline distribution characteristics in the flowing process are calculated, so that the joint permeability characteristics are analyzed.

The invention relates to the technical field of wastewater monitoring, in particular to a wastewater detection method and system for environmental monitoring based on the Internet of Things, and the method comprises the following steps: collecting wastewater pollutant concentration and water velocity data in an environmental monitoring process, calculating a pollutant concentration change rate, and judging a pollutant diffusion state in combination with a water velocity trend. And the spatial diffusion state characteristics of the pollutants are obtained. According to the invention, through real-time monitoring and data analysis of the Internet of Things equipment, determination of pollution sources and pollution diffusion trends is accelerated, especially calculation and comparison of pollutant concentration change rates in multiple areas are carried out, cross identification of pollutant sources is enhanced, so that positioning of the pollution sources is more accurate, and through dynamic tracking and reverse traceability technologies, real-time tracking of the pollution sources is realized. According to the method, the flow direction of the pollutant can be accurately determined, and the accuracy and timeliness of environmental risk assessment are further enhanced by analyzing the time sequence change of the pollutant concentration and recording and identifying the abnormal change interval of the pollutant concentration.

The invention discloses a fluid distribution dynamic regulation and control method and device based on a shale reservoir microstructure, and relates to the technical field of oil and gas exploitation. The method comprises the steps that microstructure parameters of a target shale reservoir are obtained through a core experiment, and a multi-scale model is constructed based on the microstructure parameters; determining control equations of different physical fields of the multi-scale model; coupling the control equations of different physical fields, and resolving through a finite element method; performing a numerical simulation experiment based on the multi-scale model and the resolving result to determine regulation and control parameters; the regulation and control parameters are input into the multi-scale optimization model to optimize the regulation and control parameters, and a regulation and control strategy is obtained. The problems that an existing displacement experiment is single, the complex interaction process under the actual mining environment is not comprehensively considered, and the guiding effect on mining work is limited are solved. Business personnel can be guided to formulate a development scheme more scientifically and accurately, the mining efficiency and the success rate are improved, the development cost can be reduced, and meanwhile economic benefits are improved.

The invention discloses a building construction environment dust monitoring system, and relates to the technical field of building engineering, the building construction environment dust monitoring system comprises a central processing unit, and further comprises a data acquisition module, a data transmission module, a data storage module, a geographic information module, a data analysis module and an abnormity warning module which are connected with the central processing unit, the data analysis module comprises a dust concentration algorithm unit, a dust diffusion algorithm unit and a diffusion change algorithm unit, influence coefficients are added to the sensors at different positions, meanwhile, temperature change factors are added in the calculation process, and then the diffusion effect of a dust source in a building construction area is measured through the dust diffusion algorithm unit; and the wind speed influence is introduced, the accuracy of the monitoring result is improved, finally the dust diffusivity is calculated through the diffusion change algorithm unit, and the safety of on-site workers is guaranteed by setting a threshold value and automatically triggering early warning.

The invention discloses a collapse column fracture zone water inrush evolution process simulation monitoring system and method. According to the method, the on-site engineering environment is restored through an analog simulation test means, an analog simulation material and a stress water pressure loading system, elastic waves are released in the rock mass fracture process, and the resistivity of the whole area is obviously reduced due to the existence of water; the heat release material and the color marker have the phenomena of temperature rise and color substance diffusion when encountering water, the four monitoring modes have extremely high sensitivity and visualization, and the sound-electricity-heat-color characteristic evolution rule in the fracture and water guide process of the rock mass is restored. Compared with a traditional monitoring means, the method has higher reliability, and efficient and safe mining of deep coal resources threatened by collapse column water is promoted.

An interface structure characterization method, comprising: constructing a solid-liquid equilibrium system; acquiring interfacial atomic number density distribution of the solid-liquid equilibrium system; and acquiring interface layers on the basis of the interfacial atomic number density distribution. Compared with previous qualitative characterization methods, characterization parameters of interface structure changes are developed on the basis of computation results of radial distribution functions in interface layers, and the parameters can quantitatively characterize the change characteristics of the interface structure, avoiding the situation where the interface structure can only be qualitatively characterized; the present application can be used for quantitatively characterizing interface structures, can characterize differences in interface structures caused by lattice periodic fields when crystals of different orientations come into contact with melts, structural adjustments needed from melts to crystal melts, and change processes from melts to crystal structures (sudden or gradual changes).

The invention provides a pollutant three-dimensional monitoring method and system combined with wind field perception, and relates to the technical field of pollutant monitoring, and the method comprises the steps: enabling obtained three-dimensional wind field scene data to be aligned with digital elevation model data, and obtaining fusion grid data of a monitoring region; determining a sampling point layout strategy according to the fused grid data, a preset wind field weight coefficient and a preset terrain weight coefficient; taking the three-dimensional wind field scene data and the acquired sampling data as input of a pre-constructed matching model to obtain an interpolation strategy of the monitoring area; based on the three-dimensional wind field scene data, the digital elevation model data and the sampling point layout strategy, performing optimization planning on an unmanned aerial vehicle sampling path by adopting a multi-target optimization algorithm to obtain a target three-dimensional route; and performing spatial interpolation operation on the target pollutant concentration data by adopting an interpolation strategy, and reconstructing a three-dimensional pollutant concentration distribution model of the monitoring area. According to the method provided by the invention, three-dimensional monitoring of pollutants in the monitoring area is realized.

In order to solve the problems of frequent pollution events, relatively high energy consumption and the like in the technical field of membranes in the water treatment process, the invention discloses a real-time monitoring-based membrane pollution dynamic prediction and early warning method, which comprises the following steps of: acquiring various parameter data influencing membrane pollution in real time; inputting the obtained parameter data into a pre-trained LSTM neural network model; the membrane pollution degree changing along with time is output, and real-time membrane pollution monitoring is completed; the membrane pollution degree prediction result and the early warning system are combined, automatic early warning of membrane pollution is achieved, the hysteresis quality in the membrane pollution treatment process is overcome, and the treatment capacity of the membrane pollution problem is improved.

The invention provides a supercritical carbon dioxide core displacement experiment device and method, and the device comprises a supercritical carbon dioxide preparation system, a displacement reaction system, a temperature and pressure control system, a recovery metering system, and a data acquisition monitoring system. Flexible preparation of supercritical carbon dioxide can be achieved, the oil displacement process in the oil reservoir stratum environment can be accurately reduced, the experimental device is high in modification flexibility, and data collection, transmission and monitoring are efficient and high in precision. A series of experiment requirements of supercritical carbon dioxide preparation, injection oil displacement, data processing and the like can be conveniently met, the device can be conveniently subjected to experiment modification through the arrangement of the pipeline, the valve and the sensor, various experiment purposes are achieved, the utilization efficiency of the experiment device is improved, experiment operation is efficient, the carbon dioxide oil displacement and sealing experiment effects can be explored, and the experimental device is suitable for popularization and application. The method provides an experimental research thought for oil reservoir recovery efficiency, and has important guiding significance on improvement of oil and gas field recovery efficiency and development of a negative carbon technology.

The invention belongs to the technical field of closed coal mine water-flooded coal seam simulation experiments, and provides a closed coal mine water-flooded coal seam gas desorption dynamic behavior simulation experiment system and method.The experiment system comprises an experiment cavity, a stress loading device, a methane supply module, a water injection module, a gas desorption testing device, a monitoring unit and a control system; the concentration and flow of desorbed gas are monitored by the gas desorption testing device, the monitoring unit comprises a pressure sensor, a water level sensor and a humidity sensor array, and the humidity sensor array is used for monitoring the humidity degree of the surface of the coal sample. According to the experimental system capable of simulating the gas desorption in the water logging process of the gas-containing coal seam under the background that the coal mine is closed, the condition of the gas desorption under the water logging condition of the coal seam can be more truly restored, the gas desorption rule in the water logging process is accurately simulated in an experiment, effective data support is provided, and the experiment efficiency is improved. Therefore, a scientific basis is provided for gas emission management and safety monitoring after the coal mine is closed.

The invention relates to the technical field of air quality monitoring, in particular to a medical compressed air quality online monitoring method, system and equipment and a medium. The method comprises the following steps: firstly, acquiring multi-point real-time monitoring data, then calculating a concentration gradient value, then analyzing propagation characteristics, then determining the position of a pollution source, then evaluating the pollution risk, and finally giving a response instruction; by introducing historical data comparison and multi-parameter collaborative analysis, the accuracy of pollution event identification and the timeliness of early warning are remarkably improved.

The invention discloses a fractured reservoir dominant path characterization inversion experiment system and method, a fractured reservoir model and a preparation method. According to the experiment system, a fractured reservoir construction method and a data acquisition method provided by the invention, an underground fractured fluid and geothermal reservoir heat exchange scene can be restored; according to the experimental system and the implementation path, a feasible experimental operation process is provided, and a complete process of acquiring data required by inversion of internal information of the fractured reservoir is carried out in the experimental system; data acquisition methods and inversion methods under different geothermal environments and fractured reservoir environments can be continuously explored with low time and economic cost, and the inversion technology is continuously improved through a large amount of experimental data, so that mature theories are used for guidance of actual geothermal resource exploration sites. Inversion of large-scale geothermal reservoir fracture network distribution information can be simulated, and an inversion theoretical basis can be provided for investigation of an actual geothermal field site.