234 results about "Moisture distribution" patented technology

The invention relates to the technical field of environment regulation, in particular to a corn cultivation environment intelligent regulation method based on multi-sensor control, which comprises the following steps: S1, generating a soil moisture three-dimensional distribution diagram in real time through humidity sensor arrays arranged at different depths of a corn root zone; s2, combining infrared temperature data of the canopy and the three-dimensional distribution diagram of the soil moisture, and calculating a moisture motion mismatch degree through transpiration-permeation conduction collaborative analysis; s3, generating a user-defined irrigation mode based on the water movement mismatch degree, and controlling the irrigation duration, the stop interval and the water flow rate. According to the method, coupling modeling is carried out on the plant physiological water demand behavior and the soil moisture supply characteristic, the limitation that a traditional irrigation system only depends on a soil humidity threshold value or meteorological index judgment is broken through, and the biological adaptability and the aging responsiveness of field moisture regulation and control are improved.

The invention discloses an energy-saving control method and system of a dehumidifier, a medium and equipment, and relates to the field of dehumidification equipment. The method comprises the following steps: acquiring node position data, node air velocity data, node humidity data and node temperature data in a space by arranging sensor nodes, and establishing an air flow model by utilizing a fluid dynamic model in combination with three-dimensional space data. Generating a moisture distribution diagram based on the model, determining a target area with the moisture concentration exceeding a preset threshold value, then determining an optimal target airflow channel according to the position of the target area, and controlling the rotation direction of a fan to enable the suction direction of the fan to be consistent with the airflow direction of the target airflow channel. The target air speed of the draught fan is set according to the channel airflow speed, the operation frequency of the compressor and the opening degree of the electronic expansion valve are cooperatively adjusted by combining the humidity value of the target area, the target air speed and the operation parameters of the dehumidifier, precise dehumidification control based on space moisture distribution is achieved, the dehumidification efficiency of the dehumidifier is improved, and therefore the energy-saving capacity of the dehumidifier is improved.

The invention provides a watering cart for municipal greening engineering, and belongs to the technical field of municipal greening watering carts. The watering cart for municipal greening engineering comprises a cart body, a water storage tank and a watering mechanism, the water storage tank is mounted on the surface of the cart body, a mounting box is mounted on the surface of the cart body, and the watering mechanism is mounted on the surface of the cart body and comprises a first rotating shaft, a second watering pipe, a water pump and a three-way valve. By arranging the watering mechanism, water output by the water pump can be shunted through a three-way valve, one part of water is atomized, the other part of water is mixed with fertilizer and then sprayed on the surfaces of green plants, the spraying effect is improved, an atomizing nozzle can atomize water into tiny water drops, more uniform water distribution can be achieved through air propagation, and the water content is increased. According to the dust removal device, the water covering range is enlarged, water drop concentration or water waste is avoided, atomized water mist can be combined with dust particles through tiny water drops in air, dust in the air can be settled, and the dust removal function is achieved.

The invention provides a multi-modal data fusion method and system based on artificial intelligence, and relates to the field of data fusion, and the method comprises the steps: firstly collecting a crop growth state image, a crop plant body infrared image and a soil humidity value; a data processing and image analysis algorithm based on artificial intelligence and deep learning is introduced at the rear end to analyze the acquired data, so that crop water supply cross-modal time sequence joint coding features are described by using implicit association between crop plant body water distribution features and soil humidity time sequence features; and finally, decoding is carried out to carry out optimization control on the crop irrigation volume, more intelligent crop irrigation volume adaptive control can be realized by combining artificial intelligence and deep learning technologies with multi-modal data analysis, the problems caused by a traditional irrigation mode are avoided, and a scientific basis is provided for irrigation decision making.

The present invention discloses a GNSS-R soil moisture inversion method for mountainous areas that integrates a terrain moisture index. The method comprises the following steps: obtaining remote sensing data from target mountainous areas other than water bodies and soil moisture data from each observation station; selecting altitude, slope, aspect, longitude and latitude, vegetation index, clay content, and signal-to-noise ratio as influencing factors for soil moisture inversion in mountainous areas; calculating the corrected signal-to-noise ratio and terrain moisture index; constructing a mountainous area soil moisture inversion model, training it, and validating it; inputting a test set into the trained model to obtain daily soil moisture prediction data with a 1km resolution, taking the monthly average, and obtaining monthly soil moisture prediction data. The present invention's integration of the terrain moisture index with CYGNSS data can fully leverage the advantages of terrain factors and remote sensing technology, further improving the accuracy of soil moisture distribution and the ability to predict spatiotemporal changes, and better revealing the dynamic changes in soil moisture in complex terrain areas such as mountainous areas.

The invention relates to the technical field of dried bean curd manufacturing, in particular to a pressing production process and pressing equipment of dried bean curd. The production process comprises the following steps: S1, preparing materials; s2, preliminary pressing; s3, secondary pressing; s4, pressing for the third time; and S5, dicing and packaging. The pressing equipment comprises a pressing box and a hydraulic assembly, the pressing box comprises a box body and a pressing plate, the hydraulic assembly is vertically connected to the upper side of the pressing plate, the wall of the box body and the interior of the pressing plate are each provided with an auxiliary drainage structure, and when the pressing plate is pressed downwards by the hydraulic assembly, water in the bean curd blanks can be discharged outwards from the top, the side face and the bottom; through step-by-step pressing, the water content of the dried bean curd can be accurately controlled, and different market requirements are met; in the pressing process, water distribution is uniform, the product texture is consistent, and the taste is better; the art parameters are flexible and adjustable, and bean curd products with different dryness degrees can be obtained according to requirements.

The invention relates to the technical field of carbon flux monitoring, and particularly discloses a carbon flux monitoring method and system based on soil drought remote sensing data, and the method comprises the steps: respectively collecting soil humidity remote sensing data and a soil vegetation coverage remote sensing image through a microwave sensor and an optical remote sensing sensor; performing resampling on the soil humidity remote sensing data and the soil vegetation coverage remote sensing image to realize spatial resolution alignment, and performing spatial distribution feature extraction on the soil humidity remote sensing data and the soil vegetation coverage remote sensing image after spatial alignment by adopting a deep learning algorithm; and pixel-level significance enhancement and fusion processing are carried out on the captured soil humidity distribution characteristics and vegetation distribution characteristics, so that nonlinear modeling of a dynamic influence mechanism of the soil drought degree on the vegetation growth state is realized, and intelligent estimation of the carbon flux is realized on the basis. In this way, the nonlinear regulation and control effect of soil drought stress on vegetation respiration and photosynthesis can be effectively described, and the efficiency and coverage range of carbon flux monitoring are improved.

The invention relates to the technical field of civil engineering, and discloses a road subgrade settlement prediction method and system based on multi-source data. The method comprises the following steps: acquiring and correcting a precipitation sequence and roadbed soil moisture distribution data; analyzing rainfall accumulation characteristics and carrying out penetration risk classification, thereby extracting a penetration depth estimation value, and utilizing finite element analysis to simulate a soil body saturation state change trend; quantifying a soil body supporting capacity reduction range, constructing and calibrating a settlement initiation probability calculation model, and obtaining settlement probability distribution; identifying a high-risk evolution area, integrating path weights and accumulated influence factors, and generating a settlement prediction interval subjected to multi-dimensional verification; and fusing the prediction interval and actual roadbed structure data through a geographic information system to generate a comprehensive evaluation report. According to the method, the whole-process accurate evaluation of the roadbed settlement risk from multi-source perception, mechanism simulation to space prediction is realized, and the accuracy and timeliness of the roadbed settlement risk prediction and the pertinence of engineering maintenance are improved.

The invention provides a monascus drying degree real-time control method which comprises the following steps: monitoring the surface moisture content, internal metabolic activity index and pigment content change of mycelium in a monascus drying process, and generating a mycelium state distribution diagram; extracting moisture gradient characteristics and metabolic activity parameters from the mycelium state distribution diagram, analyzing a relationship between a moisture evaporation rate and mycelium activity, and determining a dynamic trend of moisture gradient and activity change; analyzing the dynamic trend of the moisture gradient and the activity change, determining the relationship between the moisture gradient and the activity change through a fitting curve, and predicting the change trend of the moisture and the activity of the mycelium in different drying stages; aiming at a moisture distribution non-uniformity index, the uniform distribution of heat in the red yeast rice is improved by optimizing an air supply mode, so that the moisture evaporation rate deviation is reduced, and a temperature and humidity control sequence is obtained.

The invention belongs to the technical field of glass fiber mesh drying treatment control, and particularly discloses a glass fiber mesh drying treatment control system for a wafer abrasive cutting wheel. Analyzing the stress remaining coefficient of the glass fiber mesh after the wafer cutting operation, and reflecting the stress remaining state of the glass fiber mesh after the cutting operation; by analyzing the material stability coefficient of each subarea on the surface of the glass fiber mesh and combining the stress remaining state after the cutting operation of the glass fiber mesh, the drying-resistant auxiliary temperature on the surface of the glass fiber mesh is evaluated, and the wind power temperature corresponding to the drying operation on the surface of the glass fiber mesh is determined; the partition points of all the sub-areas of the glass fiber mesh are calibrated, the moisture distribution state of all the partitions on the surface of the glass fiber mesh is detected, the corresponding air speed of all the partition positions on the surface of the glass fiber mesh is determined, and the more uniform drying effect is achieved.

The invention provides an ice and snow field snow melting early warning and intelligent snow removal scheduling method, which comprises the following steps: acquiring wet snow water content, snow layer density abnormity and field climate difference data through a multi-source sensor; the method comprises the following steps: performing primary processing on original data acquired by radar detection, infrared imaging and a micro weather station to obtain an initial distribution map of wet snow characteristics and local weather conditions; and according to the corrected wet snow characteristic distribution map, in combination with the initial distribution map and temperature influence factors and melting rate fluctuation characteristics obtained by data analysis of the micro meteorological station, aiming at equipment thrust loss and working surface friction loss, correcting acquisition deviation of multi-source sensor data, and obtaining a dynamic update map of the snow accumulation state in the risk area.

The invention discloses a soil moisture motion inversion method and system based on soil moisture distribution. The method comprises the steps of obtaining geological data and hydrological data of a drainage basin; based on the geological data and the hydrological data, constructing a physical drainage basin hydrological model; simulating a soil moisture distribution time sequence result and a soil moisture movement time sequence result of the whole watershed at any moment under various working conditions by utilizing a physical watershed hydrological model, and constructing a data set; constructing a deep learning model for each grid node in the physical basin hydrological model, and training the deep learning model by using the data set and the geological data; and utilizing the trained deep learning model to realize soil moisture motion inversion. According to the method, soil moisture distribution easy to observe serves as input, the deep learning model serves as a function approximator, soil moisture movement difficult to observe for a long time in the watershed scale is inverted, and a scientific theoretical basis is provided for deeply understanding a watershed scale soil moisture movement system.

The utility model relates to the technical field of nursery stock cultivation boxes, and discloses a nursery stock cultivation box for nursery stock planting, which comprises a box body, a cultivation groove and a ventilation groove which is located below the cultivation groove and communicated with the cultivation groove are formed in the box body, a filter disc and a spiral pipe located above the filter disc are installed in the cultivation groove, a glass ceiling is installed above the box body, and a water collecting piece used for collecting rainwater is installed on the glass ceiling. And the water collecting piece is used for guiding rainwater to the spiral pipe. The utility model provides a nursery stock cultivation box for nursery stock planting. The nursery stock cultivation box solves the problems that rainwater is inconvenient to collect, and water in soil is not evenly distributed.

The invention provides a method for analyzing tobacco leaf moisture migration characteristics based on an LF-NMR technology, and belongs to the technical field of electric digital data processing. The method comprises the following steps: carrying out standardized sample pretreatment, measuring a moisture state through low-field nuclear magnetic resonance, establishing a moisture migration dynamic model, calculating a moisture diffusion coefficient matrix, constructing a moisture loss prediction model, adjusting migration parameters by applying a moisture diffusion optimization function, and analyzing whole-leaf moisture distribution by applying a neural network model of a multi-scale attention mechanism. And carrying out different temperature gradient experiments, analyzing the moisture migration difference between the main vein and mesophyll tissues, verifying the accuracy of the prediction model and the like, thereby realizing accurate quantitative analysis on the migration dynamic characteristics of the tobacco leaf moisture in different microstructures. According to the method, the low-field nuclear magnetic resonance technology, the moisture diffusion theory and deep learning are combined, the migration characteristic of moisture in the tobacco leaf microstructure is accurately recognized, and a scientific basis is provided for tobacco leaf curing process optimization.

The invention discloses a method and device for testing moisture migration in the frost heaving and thaw collapse process of fiber cement soil based on low-field nuclear magnetic resonance, and relates to the field of cement soil testing engineering.The method comprises the steps that T2 spectrums of the whole freezing process and the whole thawing process of a fiber cement soil sample are obtained; inverting a three-dimensional moisture distribution diagram of the whole freezing process and the whole melting process of the fiber cement soil sample according to the T2 spectrum; and determining moisture migration conditions of the whole freezing process and the whole melting process of the fiber cement soil sample according to the three-dimensional moisture distribution diagrams of the whole freezing process and the whole melting process of the fiber cement soil sample. According to the method, T2 spectrum data is mapped to a three-dimensional space position on the basis of a nuclear magnetic resonance (NMR) signal gradient positioning technology, and a pixel-level three-dimensional moisture distribution diagram of a fiber cement soil sample is obtained by performing data inversion on a T2 spectrum, so that pixel-level moisture migration conditions in the freezing process and the melting process of the fiber cement soil are visualized.

The invention belongs to the technical field of soil moisture monitoring, and discloses a soil moisture monitoring system and method, and the method comprises the steps that a radar monitoring unit obtains soil moisture distribution data; the meteorological data acquisition unit acquires meteorological data in real time; the route planning unit plans the optimal flight route of the unmanned aerial vehicle of the cruise monitoring unit; the cruise monitoring unit performs cruise monitoring according to the planned route; the radar data analysis unit identifies abnormal conditions of soil moisture; the image data analysis unit recognizes the abnormal condition of soil moisture; the infrared data analysis unit identifies the abnormal condition of soil moisture; and the comprehensive analysis unit comprehensively analyzes and predicts potential risk problems. By accurately setting the hovering detection position, it is ensured that the unmanned aerial vehicle efficiently covers the monitoring area, and on-site key detection is conducted on the key area; and the comprehensive analysis unit combines a multi-source monitoring result with meteorological and historical data, deeply mines association among the data, confirms abnormal conditions of soil moisture, and predicts potential risk problems.

The invention discloses an environment-friendly light building material, and mainly relates to the technical field of Portland cement. Compared with the prior art, the environment-friendly light building material comprises Portland cement, perlite, fly ash, a fiber material, a foaming agent, polyvinyl alcohol, polyacrylamide and water, and the fiber material is one of sepiolite fibers, aluminum silicate fibers, wood fibers and modified wood fibers. By adding the fiber material, the phenomena of macropores, microcracks and the like caused by non-uniform drying shrinkage of the material are avoided, shrinkage difference caused by non-uniform water distribution is reduced, the internal humidity change of the material is alleviated, rapid volume shrinkage caused by rapid reduction of water is avoided, shrinkage deformation of the material is effectively inhibited, and the service life of the material is prolonged. Therefore, the dimensional stability of the material is improved.

The invention discloses a meat quality internal moisture detection device, and relates to the technical field of meat moisture near-infrared detection, the meat quality internal moisture detection device comprises a detection unit, the detection unit comprises a near-infrared probe, and the detection unit further comprises a processing unit, the processing unit is arranged at the side part of the near-infrared probe; the processing unit comprises a detection cylinder. After the inserting sleeve is inserted into the meat paste, the rotating cylinder and the top shell are withdrawn, and the possibility that the meat paste collapses inwards, namely the original rotating cylinder position, after the rotating cylinder is taken down is reduced through constraint of the inserting sleeve on the meat paste, and collapse gaps in the meat paste are reduced; the near-infrared probe performs multi-point detection in the detection strip, the insertion sleeve and the inner groove, so that moisture distribution at different depths of meat paste can be covered under multi-point detection on the inside, the outside and the top of the meat paste, local errors caused by non-uniformity of minced meat and whole meat blocks are avoided, and internal moisture detection of meat is more accurate.

The invention discloses a method for monitoring and evaluating the irrigation uniformity of underground drip irrigation, and relates to the field of irrigation and water conservancy. Comprising the following steps: selecting a branch pipe unit in a branch pipe rotation irrigation group for field underground drip irrigation, and selecting three drip irrigation belts at the front, middle and rear parts of the branch pipe unit at equal intervals; respectively arranging a pressure observation point at the head end and the tail end of each drip irrigation belt, and installing a pressure measuring device to measure the actually measured pressure value Pm; calculating the dripper flow qm at each pressure measuring device according to the actually measured pressure value Pm; the irrigation uniformity CU1 is calculated according to the dripper flow qm; a soil moisture content observation point is arranged at the corresponding position where the pressure measuring device is installed, and a PR2 soil profile moisture tacheometer is installed; after irrigation, adopting a PR2 soil profile moisture tacheometer to observe the soil moisture content of the soil layer in the preset range of each moisture content observation point within the preset time, and measuring once every preset depth interval; calculating the average value of the soil moisture content of each different depth; calculating the average value of the soil moisture content of each observation point; calculating the soil moisture distribution uniformity CU2 by utilizing a Criswensen formula by utilizing the average value of the soil moisture content of each observation point; calculating the irrigation uniformity CU of the underground drip irrigation according to the CU1 and the CU2; and evaluating the uniformity of the underground drip irrigation according to the uniformity CU of the underground drip irrigation, wherein the evaluation grades comprise excellent, good, general and poor. The method is easy and convenient to operate, economical and practical, the irrigation uniformity of subsurface drip irrigation can be accurately evaluated, more accurate irrigation water effective utilization coefficient evaluation can be provided, actual production requirements can be better met, subsurface drip irrigation can be promoted to be applied to production practice, and the water saving efficiency can be further improved.

The invention relates to a method and system for gradient drying of butyronitrile gloves after impregnation in the field of intelligent manufacturing, and the method comprises the steps: obtaining surface and internal moisture content data of an adhesive film through a sensor array, generating a real-time moisture distribution matrix, and determining a moisture gradient change trend; if the moisture gradient change trend exceeds a preset threshold value, calculating a local moisture evaporation rate according to the distribution matrix to obtain a dynamic temperature and humidity regulation and control parameter; obtaining an adhesive film surface image through a high-resolution imaging system, detecting micro-crack and white point defect areas, and determining defect distribution characteristics; adjusting power distribution of the composite heating system according to the lowest energy consumption operation parameters, and generating an efficient drying operation mode; updating data of the dynamic regulation and control parameters and the defect distribution characteristics are obtained through a feedback control algorithm, and final drying process parameters are determined; and generating a production control instruction from the final drying process parameters, and outputting the production control instruction to a drying equipment controller to finish uniform diffusion of moisture of the adhesive film and elimination of surface defects.

The invention relates to the field of agricultural intelligent monitoring, in particular to a system and method for multispectral online analysis of soil dryness and humidity based on an unmanned aerial vehicle, and the system comprises an unmanned aerial vehicle collection module, a multispectral data processing module, an analysis and modeling module and a data storage and display module. The unmanned aerial vehicle acquisition module is responsible for efficiently acquiring multispectral image data, the multispectral data processing module is responsible for performing radiation correction, geometric correction, noise filtering and spectral feature extraction on the acquired data, and the analysis and modeling module processes the multispectral data in real time and predicts soil humidity. The data storage and display module is used for storing historical data, and the soil humidity distribution condition is displayed in real time through a visual interface, so that the problem that key information of soil humidity is still difficult to efficiently and accurately extract from spectral data and accurate prediction of the soil humidity through multispectral data at present is solved. And the problem of how to maintain relatively high prediction precision under different region and environment conditions is solved.

The invention relates to an infiltrating irrigation maintenance bag which comprises a water containing bag, a water conveying pipe communicated with the water containing bag, a water dropper arranged at the end, far away from the water containing bag, of the water conveying pipe and a water dropper protection sleeve arranged outside the water dropper in a sleeving mode, and a water outlet of the water dropper is formed in the water dropper protection sleeve. The emitter protective sleeve is sleeved outside the emitter, and the water outlet of the emitter is arranged inside the emitter protective sleeve, so that when the emitter is inserted into soil for infiltrating irrigation, the emitter protective sleeve can prevent the water outlet of the emitter from being blocked by the soil, and the emitter can still stably flow out after being buried into the soil; therefore, the distribution of the infiltrated water can be well matched with the root system of the plant.

The invention relates to the technical field of food, in particular to anti-caking infant formula milk powder and a preparation method thereof. On the basis of the existing infant formula milk powder, the production process is improved, the average particle size of the milk powder is effectively increased by pre-crystallizing lactose in the proportioning process and optimizing the solid content of concentrated milk in the production, and the milk powder is prepared by further controlling the parameters such as the air inlet temperature, the air exhaust temperature and the secondary drying temperature of a fixed fluidized bed. The water distribution state and the existence form in the infant formula milk powder are obviously improved, and the proportion of free water is reduced, so that the glass-transition temperature (Tg) of the milk powder is increased, and finally, the anti-caking capability of the infant formula milk powder is effectively improved.

The invention relates to the technical field of concrete proportion optimization, and provides a concrete proportion optimization method and system based on environmental impact analysis. The method comprises the following steps: acquiring environment characteristics, and obtaining a high-temperature environment characteristic information set, a moisture characteristic information set and a low-temperature environment characteristic information set; obtaining a concrete proportioning space; a concrete proportion optimization function is constructed with the purpose of minimizing the concrete damage at the high temperature and minimizing the concrete damage at the low temperature; on the basis of the concrete proportion optimization function, concrete proportion optimization is carried out, and optimal concrete proportion parameters are obtained; and outputting an optimal concrete proportion parameter to obtain a concrete proportion optimization result. According to the method, the technical problem of freeze-thaw damage caused by moisture movement change and icing expansion of the concrete in a low-temperature and high-temperature alternating environment is solved, and the effects of reducing concrete damage, improving the durability of the concrete and prolonging the service life of the concrete by optimizing concrete proportioning parameters and predicting moisture distribution in the concrete are achieved.

The invention discloses a transformer oil paper insulation moisture distribution test and balance curve correction method based on an electric field and temperature coupling effect, and aims at overcoming the defects of a traditional method in the aspects of temperature field calculation, moisture detection and insulation evaluation. The defects of a traditional temperature field, moisture detection and insulation evaluation are overcome, a simulation device and multiple sets of samples are constructed in experiment preparation, moisture testing is accurate through a specific instrument method, data collection and analysis are scientific, parameters are set, and algorithm architecture processing is applied. An electric field temperature coupling model is established and optimized according to a large amount of data, and moisture is evaluated and parameters can be adjusted according to operating parameters during application. The method can accurately calculate a temperature field, accurately detect moisture, effectively evaluate insulation, provide reliable guidance for operation and maintenance of a transformer and guarantee stability of an electric power system in multi-scene detection of urban center substations, wind power plant booster stations, factory distribution rooms and the like, and is high in practical value and wide in prospect.

The invention discloses a transient electromagnetic leakage detection system and method for a concrete dam, and relates to the field of transient electromagnetic method detection, the transient electromagnetic leakage detection system comprises a forward modeling system, an auxiliary device system, an acquisition system and an inversion system, and three concrete transient electromagnetic instrument response characteristics of ultralow water content, high water content and crack water saturation and electric signal differences are obtained through forward modeling; a self-made variable-angle anti-interference rapid survey concrete dam transient electromagnetic instrument auxiliary device with automatic distance measurement is adopted to carry out nondestructive testing on the dam; and integrating the collected data and carrying out inversion, drawing a dam apparent resistivity quasi-section diagram of apparent resistivity-detection depth, identifying the moisture distribution condition of the concrete dam, determining abnormal points, and finally realizing nondestructive detection of the internal leakage of the concrete dam. The detection system and method are convenient to operate, and can integrally move, automatically measure the distance and change important parameters such as the detection angle and the distance, so that the transient electromagnetic instrument can detect the leakage of the concrete dam in a lossless, flexible and anti-interference manner.

The invention belongs to the technical field of intelligent moisture control of filter press filter plates and filter cakes, and relates to an intelligent moisture control method of a filter press filter plate and a filter cake integrated with a high-voltage-resistant electrode array. The method comprises the following steps: embedding a high-voltage-resistant electrode array into the surface of a filter plate, and detecting an electrical impedance parameter of each region in a filter cake forming process in real time; reconstructing water distribution in the filter cake in real time and generating a dynamic image by using the electrical impedance data of the plurality of groups of electrode pairs; meanwhile, establishing a mathematical model between the electrical impedance and the water content of the filter cake to obtain the real-time water content of the filter cake; and according to the moisture distribution image and the moisture content data, dynamically adjusting the parameters of the filter press through a closed-loop feedback system to realize accurate control of the moisture content of the filter cake.

The invention discloses a mountain area GNSS-R soil humidity inversion method fused with a terrain humidity index. The method comprises the following steps: acquiring remote sensing data of other areas except a water body area in a target mountain area and soil humidity data of each observation station; the altitude, the gradient, the slope direction, the longitude and latitude, the vegetation index, the clay content and the signal-to-noise ratio are selected as influence factors of mountainous area soil humidity inversion; calculating a corrected signal-to-noise ratio and a terrain humidity index; and constructing a mountainous area soil humidity inversion model, training and verifying, inputting the test set into the trained model, obtaining 1km-resolution soil humidity prediction day data, and averaging monthly soil humidity prediction day data to obtain soil humidity prediction monthly data. According to the method, the terrain humidity index and the CYGNSS data are fused, the advantages of terrain factors and the remote sensing technology can be fully utilized, the precision of soil humidity distribution and the prediction capacity of temporal and spatial variation are further improved, and the dynamic change of soil humidity in complex terrain areas such as mountainous areas is better revealed.

The invention discloses a method and a system for rapidly and dynamically measuring the permeability coefficient of unsaturated soil. The method comprises the following steps: acquiring resistivity data, dielectric constant data and temperature data of soil in a target area; collecting the data according to a unified time resolution to obtain observation data; constructing a soil heterogeneous unit feature vector based on the collected data; dividing the feature vectors of the heterogeneous units of the soil to generate an initial permeability coefficient field; constructing a rock physical constitutive model; fusing observation data and a hydrodynamic model, combining with a rock physical constitutive model, dynamically updating a permeability coefficient field, and performing optimization by applying physical constraints; and finally outputting the updated permeability coefficient spatial-temporal distribution and uncertainty quantification result. According to the invention, the moisture change in the unsaturated soil can be monitored in real time, the moisture distribution condition of the soil can be accurately evaluated, and geological disaster risks such as leakage and landslide of the soil can be found in advance.

The invention discloses an anti-condensation method for a closed cavity with a ventilation valve, and the method comprises the following steps: setting a plurality of measurement points in the closed cavity to obtain a moisture diffusion coefficient of each measurement point in the closed cavity, and fitting to obtain an influence function of temperature, humidity and a humidity adjusting material on the moisture diffusion coefficient; according to the moisture diffusion coefficient and each influence function, constructing a simulation model to simulate the distribution of moisture in the closed cavity; acquiring internal temperature and humidity and external environment information of the closed cavity; obtaining condensation conditions according to the internal temperature, humidity and external environment information of the closed cavity in combination with a moisture diffusion coefficient; and according to the moisture distribution and condensation conditions in combination with the simulation model, obtaining the use amount and position distribution of the anti-condensation humidity adjusting material. Condensation prevention of the closed cavity with the ventilation valve is achieved.