1454results about "Surface/boundary effect" patented technology

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 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 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 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 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 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 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.

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 discloses a saturated seepage zone and unsaturated moisture zone identification method based on an active heating optical fiber, and the method comprises the steps: carrying out the thermal response test of a to-be-tested soil body through the power supply of an AH-UWFBG optical cable, and obtaining a response curve of a temperature rise value [delta] T of the to-be-tested soil body along with time t; the AH-UWFBG optical cable is placed in the saturated soil body, and the temperature rising value delta Tsat of the saturated soil body and the time t0 when the slope of a delta T-lnt curve of the saturated soil body reaches the stable state are measured; judging a boundary line of a saturated seepage zone and an unsaturated water zone in the to-be-detected soil body by judging the slope of the delta T-lnt curve and the size relationship between delta T and delta Tsat, and calculating the water content under the condition of no seepage and the seepage speed under the condition of seepage; the invention provides a new method for monitoring the hydrological process, and more accurate and comprehensive soil moisture and seepage data can be provided for the fields of environmental science, water resource management, agricultural production and the like.

The invention discloses a deep-sea mining area sediment plume dynamic monitoring system and a multi-module fusion analysis method thereof, and belongs to the technical field of deep-sea environment monitoring and ocean engineering. The system comprises a fixed monitoring unit and a movable monitoring unit, the fixed monitoring unit is composed of an in-situ optical and three-dimensional sonar observation base station, a sediment capturer array and a multi-parameter sensor array and is arranged in a mining area; and the mobile unit comprises an AUV (Autonomous Underwater Vehicle) carrying a multispectral laser radar and an ROV (Remote Operated Vehicle) carrying a binocular vision system and a micro sampler. According to the analysis method, a plume motion field is extracted through multi-source data fusion, dark channel defogging and a pyramid optical flow method, a physical-data dual-drive model is constructed to simulate the plume diffusion and settlement process, a three-dimensional dynamic thermodynamic diagram is generated in real time, and an intelligent early warning threshold value is set based on the diffusion radius and the settlement flux. According to the invention, plume multi-scale, high-precision, real-time and dynamic monitoring and evaluation are realized, and deep-sea mining operation optimization and environment compliance supervision are effectively supported.

The invention discloses a directional grouting test device and a visual test method for a goaf, and the method comprises the steps: building a bed rock, laying a mineral product to be mined, laying and filling an area to be reinforced, burying a soil pressure gauge and a water pressure gauge, burying a grouting floral tube, arranging a grouting inner tube, communicating a grouting system, and setting a particle imaging velocimeter PIV. In the test process, the seepage and diffusion process in the slurry and the stress state of the rock-soil body are monitored by using a soil pressure meter and a water pressure meter; calculating the total amount of slurry flowing into the model through a slurry barrel outer scale; after grouting is finished, original-state sampling is conducted on the grouting permeation reinforcement area, a mechanical property test and a microcosmic test are conducted, and the grout permeation and reinforcement effect is analyzed; the grouting pressure-seepage distance-mechanical property relation is obtained. The goaf directional grouting permeation simulation device can carry out goaf directional grouting permeation simulation, facilitates mechanical property test of original state sampling, and has the characteristics of visualization, simulation, monitoring and the like.

The invention discloses an experimental device and method for controlling migration and mineralization of ore-forming fluid in a wrinkle deformation process, and belongs to the technical field of ore deposit geology. The device comprises an ore liquid synthesis unit and a mechanical deformation simulation and mineralization analysis unit. The mechanical deformation simulation unit comprises a box body, an extrusion deformation system, a liquid injection system and a heating temperature control system, and can synchronously realize visual analysis of structure extrusion, fluid injection and mineralization precipitation at high temperature. The experimental method comprises the following steps: firstly, preparing a simulated metallogenic fluid containing FeS2 (pyrite); laying simulated surrounding rock and wrinkles in the box body, arranging a separation layer, and heating; extruding the sand layer and injecting fluid to simulate a mineralization process; and slicing, sampling and analyzing after model consolidation, and establishing a mineralization space distribution model. The device is simple in structure and convenient to operate, the whole process of fold extrusion, crack extension, fluid migration and mineral precipitation can be repeatedly represented, and an experimental basis is provided for hydrothermal deposit mineralization mechanism research and prospecting prediction.

The invention relates to the technical field of collaborative traceability, in particular to a soil-groundwater multi-medium pollutant collaborative traceability method, which comprises the following steps: synchronously collecting a soil-groundwater conversion sample at an oxidation-reduction interface in a diving surface fluctuation zone of a polluted site, and recording three-dimensional coordinates of a sampling point and a groundwater dissolved oxygen threshold value; detecting valence state change of pollutants in the conversion sample, identifying a morphological transition marker caused by mutation of a medium environment, and generating an interface transition feature set comprising a marker concentration gradient; and based on the concentration gradient direction of the interface transition feature set, in combination with underground water flow velocity field data, reversely tracking a pollutant migration path, and outputting a pollution source position coordinate and a dominant conversion medium type. According to the method, the migration vector module value difference, the form transition amplitude response difference and the path distance attenuation effect are considered, the position of the pollution source is calculated through weighted reverse integral, and the adaptability of the traceability algorithm to a complex interface multi-source pollution scene is remarkably enhanced.

The invention relates to the technical field of experimental devices for testing diffusion coefficients, in particular to an experimental device for testing the gas diffusion coefficient of a geomembrane and a testing method.The experimental device comprises a gas supply mechanism, a testing mechanism and a stretching mechanism, the testing mechanism comprises a reaction testing cylinder, and the reaction testing cylinder comprises an upper cavity and a lower cavity; one side of the lower cavity communicates with the air supply mechanism, a containing assembly is arranged between the upper cavity and the lower cavity, and the clamping assembly of the stretching mechanism is detachably connected to the middle of the containing assembly. The problem that the gas diffusion coefficient test of the geomembrane under the coupling action of aging and tensile stress cannot be simulated in the prior art is solved, and a reliable experimental device is provided for evaluating the long-term anti-seepage performance of the geomembrane under the actual working condition.

The utility model discloses a foam spreading and fire extinguishing performance testing device based on a submerged image recognition technology, which comprises an oil tray, an image acquisition device, a magnetic fluorescent sticker and an image processing device, the image processing device is electrically connected with the image acquisition device through a network cable, and the oil tray comprises an oil tray main body, an anti-burning tank and supporting legs, the image acquisition equipment comprises a camera I arranged at the top of the oil pan main body and submerged camera equipment arranged on the inner side of the oil pan main body, the submerged camera equipment comprises a submerged camera II, a submerged camera III and a submerged camera IV, the submerged camera III is arranged in the center of the oil pan main body, and the submerged camera IV is arranged in the center of the oil pan main body; the magnetic fluorescent stickers are arranged at the bottoms of the two side tray walls of the oil tray body. Dynamic changes such as a foam flowing track, a foam fire extinguishing behavior and an ignited fuel area are captured and collected from an upper view angle and a lower view angle of a foam layer, interference of flames on observation or collection of the foam coverage area is avoided, the foam spreading speed in the fire extinguishing process is accurately calculated, and the 25% anti-burning time of a foam fire extinguishing agent is judged.

The invention relates to an experimental device and method for researching liquid drop dynamics and evaporation characteristics. The experimental device comprises a liquid drop generation system, a metal flat plate control system, a height adjusting system and a data acquisition system, the liquid drop generation system is used for generating liquid drops impacting the metal flat plate; the metal flat plate system is used for adjusting the inclination angle of a metal flat plate to heat the metal flat plate; the height adjusting system is used for adjusting the height from the liquid drop generating system to the metal flat plate, so that the liquid drops impact the metal flat plate at different speeds; the data acquisition system comprises a high-speed camera, an infrared camera, a particle image velocity measurement device, a light source and a computer, and is used for measuring the morphological change, velocity field and temperature field of liquid drops in the process of impacting the metal flat plate; the invention further provides an experimental method. According to the invention, the morphological evolution process of the liquid drops can be measured, and the dynamics and evaporation characteristics of the liquid drops when impacting metal plates with different inclination angles and surface types can be studied.

The invention relates to a petroleum polluted soil polycyclic aromatic hydrocarbon migration path simulation experiment system, which comprises a main reaction cabin, a mechanical arm collaborative operation module, a multi-mode sensing module, a whole natural environment regulation and control module and an edge intelligent decision-making platform, an annular magnetic suspension track is arranged at the top of the main reaction cabin, and a soil sample chamber is arranged at the bottom of the main reaction cabin; the multi-modal sensing module comprises an EIT (electrical impedance tomography) module, an LIBS (laser-induced breakdown spectroscopy) module and a terahertz time-domain spectroscopy module and is used for measuring global conductivity distribution of soil in a soil sample chamber, inverting the porosity of the soil sample and a pollutant concentration field in pore water, analyzing the concentration of carbon, hydrogen and oxygen elements of pollutants and specifically detecting polycyclic aromatic hydrocarbon molecules; the edge intelligent decision-making platform interacts with the multi-mode sensing module, the full-natural-environment regulation and control module and the mechanical arm collaborative operation module to actively adjust system parameters, and repair intervention is carried out on soil body degradation. And automatic preparation of the polluted soil can be realized, and migration monitoring under different practical engineering application working conditions can be realized.

The invention discloses a system and a method for measuring the release flux of methane in a water body, and belongs to the technical field of measurement of the release flux of methane gas in the water body. When the diffusion flux is measured, the box body is placed on the liquid level of the water body in a floating manner, and the partition plate is arranged below the first opening of the box body at the interval of the first preset distance, so that methane gas released in the form of bubbles in the water body below the partition plate can be prevented from entering the accommodating cavity, and the interference of bubble release on the measurement result can be reduced; the determination accuracy of the diffusion flux is improved. When the bubble flux is measured, the cover body covers the sediment at the bottom of the water body below the box body, and the methane gas released by the sediment is collected by the gas collection container below the liquid level, so that the probability that bubbles are dissolved in the water body in the floating process can be reduced, and the measurement accuracy of the bubble flux is improved.

The invention relates to a lubricating grease porous material permeability test device, and relates to the technical field of material performance analysis, the device comprises a placing table for placing a sample, the placing table is provided with a driving device and a test seat, and the test seat is provided with a test cavity; the driving device is used for driving the testing seat to move in the direction close to the placing table so as to contain the sample into the testing cavity; a sensing device used for sensing lubricating grease below the sample is arranged on the placing table, a sealing device used for sealing the peripheral wall of the sample is arranged in the testing cavity, a conveying device used for conveying the lubricating grease to the position above the testing cavity is arranged on the placing table, and a pressurizing device used for applying pressure to the lubricating grease above the sample is arranged on the placing table. The multiple steps of sample clamping, sealing, grease injection, pressurization and detection are integrated into a coherent automatic process, the test efficiency is remarkably improved, the consistency of test conditions is ensured through mechanical positioning and automatic control, and high repeatability and high reliability of test results are ensured.

The invention provides a seawater chlorophyll a concentration three-dimensional remote sensing detection method, medium, equipment and product, and relates to the technical field of ocean remote sensing. The method comprises the following steps: acquiring satellite remote sensing data and photon counting laser radar data of a to-be-detected area; obtaining a seawater chlorophyll a concentration profile based on the diffusion attenuation coefficient; the method comprises the following steps: constructing an improved VGGNet model which comprises a multi-branch VGGNet, replacing standard convolution in the VGGNet with depth separable convolution, and introducing an SE attention mechanism into a backbone network; the time and position variables, the satellite remote sensing data, the photon density, the backscattering coefficient, the diffusion attenuation coefficient and the water depth serve as input variables of the model, the seawater chlorophyll a concentration profile serves as a target variable, and the model is trained; and inputting new satellite remote sensing data into the trained model to generate three-dimensional distribution prediction of the seawater chlorophyll a concentration. The method can better extract the features in the data, improves the prediction precision of the model, and is suitable for a complex water body environment.

The invention discloses a carbon dioxide seepage dominant channel judgment and permeation enhancement effect evaluation method and system, and the method comprises the following steps: obtaining three-dimensional image data through the three-dimensional CT scanning of a rock sample before and after a CO2 mineralization storage experiment reaction, extracting a crack network as a topological structure center line skeleton, calculating the topological indexes of a network structure, and calculating the permeability enhancement effect of the network structure; a fracture network topological structure model constructed based on a graph theory is coupled with a discrete fracture network model for CO2 flow simulation, an equivalent permeability tensor is obtained, an improved Dijkstra shortest path algorithm is adopted, spatial distribution of CO2 seepage dominant channels is obtained, dominant channel characteristics before and after transformation are compared with the equivalent permeability tensor, the seepage enhancement effect is quantitatively evaluated, and the CO2 seepage enhancement effect is obtained. And changing injection conditions to perform multi-group simulation under different working conditions, calculating the seepage enhancement effect and the mineralization reaction rate under different injection conditions, establishing a quantitative evaluation model of the mineralization sealing permeation enhancement effect, and realizing sealing effect prediction and seepage enhancement effect evaluation.

The invention discloses a phosphogypsum leachate-carbonate rock dynamic corrosion reaction analysis method based on numerical simulation, and aims to research a migration-corrosion coupling mechanism of acid leachate in a carbonate rock fracture network. The method comprises the following steps: firstly, acquiring a two-dimensional image sequence of a rock core sample through CT (Computed Tomography) scanning, carrying out operations such as threshold segmentation, membrane enhancement and a light shading algorithm on an image by utilizing AVIZO software, extracting fracture structure parameters and establishing a high-precision three-dimensional model; then, multiple groups of simplified models with different fracture widths are constructed in COMSOL Multiphysics, a Darcy flow field and a solute concentration field are coupled on the basis of the Darcy law and a dilute matter transfer theory, and the dynamic corrosion effect under the multi-field coupling effect is quantitatively represented by setting hydraulic gradient boundary conditions and chemical reaction kinetic parameters; the dynamic corrosion reaction process of calcium ions, hydrofluoric acid, sulfuric acid and phosphoric acid in the ardealite leachate and carbonate rocks with different crack widths is accurately simulated.

The slit coating machining equipment comprises a machining rack, a drying box body and an XY-axis displacement platform, the drying box body and the XY-axis displacement platform are both connected with the machining rack through bolts, a belt type conveying mechanism is assembled in an inner cavity of the drying box body, a pump body is assembled at the output end of the XY-axis displacement platform, and the drying box body is connected with the XY-axis displacement platform through bolts. And the discharge hole of the nozzle is communicated with the nozzle. According to the slit coating processing equipment and the spraying method, coating particles possibly falling from the upper portion can be borne in cooperation with the design of an anti-dripping plate, drying equipment is prevented from being polluted, the maintenance period is prolonged, the surface energy of a base material is enhanced by constructing a micro-nano structure through the nano-imprinting technology introduced in the pretreatment stage, the mechanical anchoring effect is formed between a coating and a substrate, and the coating quality is improved. The pretreatment quality can be accurately controlled through real-time wettability detection, the uniformity of the adhesion force of a subsequent coating layer is ensured, the cracking or wrinkle defect caused by rapid curing is avoided, the continuous operation characteristic of the belt type conveying mechanism allows synchronous curing of batch workpieces, and the productivity scale is improved.

The invention relates to the technical field of soil ecological monitoring, in particular to a coastal saline soil dynamic monitoring and early warning system based on the Internet of Things, which comprises a collaborative monitoring unit, a fusion resolving analysis unit and an early warning trigger unit. The capillary water rising flux and the underground water seepage direction are synchronously monitored, the fusion resolving analysis unit dynamically corrects the capillary conductivity through a pore scale migration model in combination with three-dimensional pore structure parameters reconstructed through soil CT scanning, the salt exchange capacity is resolved, the salt increment is predicted through a long and short-term memory network, and a decision coefficient is calculated. The early warning trigger unit judges the secondary salinization risk when the conditions are met, activates drainage equipment and pushes early warning, the problems that traditional monitoring dimensions are single and the early warning precision is insufficient are solved, and the method is suitable for dynamic monitoring and risk prevention and control of coastal salinized soil.

The invention relates to a method and a device for determining the flow characteristic of CO2 in a porous medium and the distribution rule of CH4 in a pore space. The method comprises the following steps: (1) pretreating a sample; (2) system connection and air tightness inspection; (3) vacuumizing the system; (4) temperature control; (5) CH4 saturation and pressure stabilization; (6) displacement experiment and data acquisition; (7) monitoring outlet gas; and (8) data processing. The problem that in existing CO2 geological sequestration and enhanced gas production research, due to the fact that in-situ visualization of the pore size cannot be achieved, a microscopic displacement mechanism is unclear is solved, and the method aims at providing scientific basis and technical support for efficient exploitation of natural gas and effective geological sequestration of CO2.