419results about "Diffusion analysis" patented technology

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

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

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

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

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

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

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

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

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

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

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

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

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

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

The invention discloses an asphalt self-healing performance evaluation method based on an equal modulus process, and belongs to the technical field of asphalt material performance detection and evaluation.The asphalt self-healing performance evaluation method comprises the steps that the linear viscoelastic stress threshold value tau L of asphalt is determined through a linear amplitude scanning test, and control stress tau T is selected for a fatigue test; sequentially implementing a fatigue test I, an intermittent healing period and a fatigue test II, determining a modulus initial value delta0 and a modulus termination value deltaL in an equal modulus process through dynamic shear modulus change data, and calculating a loading frequency difference deltaN corresponding to the equal modulus process; and establishing a self-healing degree index HI in combination with the normalization processing and the intermittent time, and quantifying the recovery of the fatigue resistance of the asphalt. According to the method, the influence of viscous flow is effectively separated through the equal modulus process, fatigue performance recovery related to molecular diffusion is accurately represented, index reliability is verified through the molecular diffusion model, the problem that in the prior art, asphalt anti-fatigue performance recovery cannot be accurately represented is solved, and a scientific basis is provided for research and development of high-performance asphalt materials.

The present invention provides a method, device, and system for tracing the source of atmospheric pollutant emissions. The method comprises: obtaining tracer observed concentrations and pollutant observed concentrations at multiple observation points within a predetermined time range; determining the atmospheric diffusion coefficient and ground reflectance coefficient of a target Gaussian model based on the tracer observed concentrations at the multiple observation points; generating an initial chromosome population, and determining the fitness of each initial chromosome in the initial chromosome population based on the atmospheric diffusion coefficient, ground reflectance coefficient, the pollutant observed concentrations at the multiple observation points, and the target Gaussian model; determining a target chromosome population based on the fitness of each initial chromosome, and determining the emission source location and / or emission rate of the target pollutant based on the target chromosome population. Embodiments of the present invention can effectively improve the accuracy of tracing the source of atmospheric pollutant emissions.

The invention relates to the technical field of rock mass engineering, in particular to a soft rock structural surface permeation grouting evolution analysis method which comprises the following steps: performing a steady-state shear thinning inversion test on target slurry by using a rotational rheometer to obtain slurry performance parameters; a permeation grouting displacement test is conducted on the soft rock structural surface, and grouting parameters in the grouting process are obtained; determining grouting main section parameters of the soft rock structural surface, and constructing a grouting diffusion numerical value prediction model based on the grouting main section parameters; based on the slurry performance parameters, the grouting parameters and the grouting diffusion numerical value prediction model, establishing a simulation model of the target slurry; and performing test-simulation parameter comparison on the permeation grouting displacement test and the simulation model, and determining a grouting evolution characterization model for analyzing grouting flow pattern evolution and diffusion fluidization. According to the method, the accurate simulation model and the grouting evolution characterization model are established and optimized by combining actual measurement parameters in the test, so that the grouting process is optimized, and the engineering safety and economy are improved.

The invention discloses an environment monitoring method based on a low-altitude aircraft, belongs to the technical field of low-altitude aircrafts, and realizes high-precision monitoring through cooperation of anti-interference hardware, edge calculation, navigation communication and cloud modeling. According to the system, a hexagonal prism cabin body is integrated with multiple types of sensors, and data are dynamically calibrated through a BP neural network. And aligning the multi-source spatio-temporal data by using extended Kalman filtering, and generating a three-dimensional grid model containing obstacles and a flow field. Navigation adopts Beidou / IMU combination and visual SLAM redundancy switching, and communication is guaranteed through a 5G private network and UWB double links. And the cloud constructs a three-dimensional AQI thermodynamic diagram based on inverse distance weighting and a Kriging algorithm, predicts pollutant diffusion in combination with a random forest, and drives the aircraft to execute a spiral / grid composite route. The problems that traditional monitoring is low in density, complex in model and insufficient in precision are solved, and a full-link anti-interference perception-decision closed loop is achieved.

The invention provides a rapid source tracing method and system for a pollution source based on dual unmanned aerial vehicle cooperative gradient detection, and belongs to the technical field of environment monitoring and unmanned aerial vehicle application, and the method comprises the steps: initializing system parameters; deploying the first unmanned aerial vehicle to hover at an initial position, and measuring an atmospheric pollutant concentration value at the initial position and recording the atmospheric pollutant concentration value as a first concentration value; the second unmanned aerial vehicle is controlled to fly around, and the pollutant concentration value is measured and recorded as a second concentration value; calculating a pollutant concentration gradient value; based on the concentration gradient value, the direction with the maximum atmospheric pollutant concentration gradient in the whole-cycle range of 0-360 degrees is determined and recorded as the maximum gradient direction; the second unmanned aerial vehicle is controlled to move to the intersection point position of the maximum gradient direction and the fly-around circumference for hovering; the first unmanned aerial vehicle is controlled to fly around, and the concentration gradient measurement and maximum gradient direction determination process is repeated; and alternately executing the operation. Through the working mode that the two unmanned aerial vehicles alternately fly around and hover, rapid and efficient pollution source positioning is achieved.

The invention relates to the technical field of pollutant detection, in particular to a multi-medium new pollutant-oriented accurate detection method and system, and the method comprises the steps: setting a plurality of detection positions around a plant area, collecting the PFAS concentration, correcting the concentration based on the distance between the detection positions and the plant area and the relative direction, and combining the concentration change difference between the detection positions, according to the method, migration rates in corresponding directions are obtained by using correlation conditions of different detection positions and correlation of concentrations, a first migration degree and a second migration degree are calculated by combining distance and concentration differences of the detection positions, and real migration parameters are calculated by combining component content change conditions in PFAS, the first migration degree and the second migration degree. And correcting the concentration of the related detection position by using the real migration parameter to obtain other source performance parameters, thereby carrying out pollution alarm. According to the invention, the precision of pollutant detection is improved, and effective pollution prediction and control can be carried out in a larger range.

The application discloses a testing device and testing method for hydrogen isotope permeation parameters of fusion reactor application materials, relates to material testing technology in the hydrogen field, and belongs to the field of material testing technology in the hydrogen field. The testing device for hydrogen isotope permeation parameters of fusion reactor application materials comprises the following: a membrane sample is installed in a membrane testing cavity to divide the membrane testing cavity into a gas inlet sub-cavity and a permeation sub-cavity; a gas inlet tank is selectively communicated with the gas inlet sub-cavity to supply testing gas; a collecting tank is selectively communicated with the permeation sub-cavity to collect outflowing gas; a vacuum pumping structure is used for pumping the gas inlet sub-cavity and the permeation sub-cavity; a heating structure is used for heating the gas inlet sub-cavity and the permeation sub-cavity; a high-resolution mass spectrometer is selectively communicated with the permeation sub-cavity, and gas selectively flows into the high-resolution mass spectrometer. The testing device for hydrogen isotope permeation parameters of fusion reactor application materials can control the gas pressure and temperature in the two sub-cavities respectively, thereby accurately determining the hydrogen isotope permeation parameters of the materials, and the precision is high, and the data resolution is excellent.

The invention relates to the technical field of air pollution source tracing, and discloses an unmanned aerial vehicle system and method for air pollution source tracing. The method comprises the following steps: collecting gas concentration distribution data of different spatial positions of a target area, and synchronously obtaining a meteorological parameter data set; determining a plurality of pollution diffusion stability factors based on the spatial distribution characteristics of the gas concentration distribution data and the meteorological parameter data set, and constructing an atmospheric pollution traceability spatial model; generating a pollution source search strategy of the unmanned aerial vehicle cluster based on the model, and dynamically adjusting the strategy according to gas concentration distribution data collected in real time; each unmanned aerial vehicle independently generates a local traceability decision by combining the environment characteristic data of the unmanned aerial vehicle and the adjacent unmanned aerial vehicle, and a collaborative decision result is obtained after consistency adjustment of a collaborative decision mechanism; the pollution source tracing response amount is determined according to the pollution source search strategy and the collaborative decision result, the pollution source positioning instruction is executed when the response amount exceeds the preset threshold value, and the comprehensiveness, accuracy and efficiency of pollution source tracing can be improved.

The invention discloses a multifunctional testing device and method for hydrate exploitation and CO2 multiphase sealing, the device comprises an experiment kettle for testing reaction, the experiment kettle is respectively connected with a confining pressure system, a vacuumizing system, a gas injection system, a CO2 injection system, a supercritical CO2 injection system, a liquid injection system and a permeation and diffusion characteristic testing system. The device is high in measurement precision, reliable in performance and high in practicability, can meet the requirements of methane hydrate layered mining simulation and carbon dioxide multi-phase storage multifunctional testing under the coupling effect of different working conditions of real simulation ocean working conditions, and can provide important technical support for commercial development of methane hydrate reservoirs and realization of efficient carbon dioxide storage.

The invention discloses a device and a method for testing hydrogen isotope permeation parameters of a fusion reactor application material, and relates to a material testing technology in the field of hydrogen, and the device for testing the hydrogen isotope permeation parameters of the fusion reactor application material is characterized in that a membrane sample is mounted in a membrane testing cavity to divide the membrane testing cavity into a gas inlet sub-cavity and a permeation sub-cavity; the gas inlet tank is selectively communicated with the gas inlet sub-cavity so as to supply test gas, and the collecting tank is selectively communicated with the permeation sub-cavity so as to collect flowing-out gas; the vacuumizing structure is used for vacuumizing the air inlet sub-cavity and the permeation sub-cavity, and the heating structure is used for heating the air inlet sub-cavity and the permeation sub-cavity; the high-resolution mass spectrometer is selectively communicated with the permeation sub-cavity, and gas selectively flows into the high-resolution mass spectrometer. According to the device for testing the hydrogen isotope permeation parameters of the fusion reactor application material, the air pressure and the temperature in the two sub-cavities can be controlled respectively, so that the hydrogen isotope permeation parameters of the material can be accurately measured, the accuracy is high, and the data resolution is excellent.

The invention belongs to the technical field of dry pulverized coal gasifiers, and discloses an experimental method for CaO to catalyze high-temperature coke high-pressure gasification reaction under different atmospheres, which comprises the following specific steps: step 1, preparing experimental raw materials and pretreating to select representative coal types; the diffusion environment of the industrial gasifier is simulated by establishing a cooperative regulation and control mechanism of pressure, gas velocity and pore structure, the thickness of a boundary layer is calculated according to the Fick diffusion law, a diffusion resistance quantitative relational expression is constructed for dynamic correction, and a variable diffusion strength experimental group is designed to quantify diffusion contribution. The diffusion and reaction rate ratio is quantitatively evaluated through a Weber number model, a catalysis and blank control synchronous experiment is carried out at the same time, a catalysis efficiency factor is calculated, a catalysis-diffusion synergistic phase diagram is drawn, and a reaction control region, a diffusion control region and a transition region are definitely defined; and the risk that the reaction stagnation caused by the fact that the high-pressure diffusion retardation effect is misjudged as catalytic activity attenuation or pore collapse is mistakenly attributed to catalyst deactivation is eliminated.

The invention discloses an in-situ high-temperature and high-pressure visible reaction kettle capable of considering the action of gravity and application of the in-situ high-temperature and high-pressure visible reaction kettle, and belongs to the technical field of multiphase fluid mechanics experimental equipment. According to the in-situ high-temperature and high-pressure visible reaction kettle provided by the invention, in-situ simulation of a gravity vector under a non-rotation condition is realized by utilizing linkage and inclination angle adjustment (0-90 degrees) of the optical fiber coupling laser light source and the model clamping device; the polygon prism reflection system corrects light path offset in real time to form an orthogonalization collimation light path, and the observation view field stability and the data accuracy in the processes of oil-water separation, CO2 diffusion and the like in the high-temperature and high-pressure environment are ensured. Besides, through a split type hoop body and a rigid locking sealing structure, the alternating stress effect of rotating torque on a sealing interface is eliminated, the high-pressure dynamic sealing failure risk is remarkably reduced, meanwhile, the device size is simplified, interference of peripheral equipment is avoided, and the experiment safety and the space adaptability are improved.

The invention relates to the technical field of medical equipment, and discloses an intelligent detection system and method for the internal air quality of a medical refrigerator box body, the system comprises a data acquisition module, a data processing module and a detection execution module, when the internal air quality of a refrigerator is detected in real time, a dynamic and static parameter collaborative acquisition mechanism is established; dynamic detection references are set for different storage article types, monitoring pertinence of various medical article storage environments is guaranteed, meanwhile, data streams of a static sensor and a dynamic sensor are integrated and calibrated in real time, the problem of data fusion distortion caused by sampling frequency differences of the sensors can be synchronously reduced, and the accuracy of data fusion is improved. Detection deviation of temperature, humidity and pollutant concentration is avoided, accuracy and reliability of monitoring of the refrigerated medicine storage environment are improved, it is guaranteed that the detection logic and parameter characteristics are always kept in the optimal matching relation, and the misjudgment risk caused by algorithm stiffness is reduced.