471 results about "Moisture capacity" patented technology

The invention provides a saline-alkali soil underground water regulation and control method and device, electronic equipment and a storage medium, and relates to the technical field of land governance. Inputting the first historical monitoring information into a pre-constructed prediction model to obtain a predicted value of soil salinity in a future time period; the predicted value of the soil salinity is input into the analysis model, and the target water level of underground water in the future time period is obtained; wherein the target water level of the underground water is used for restraining the target value of the soil salinity to be smaller than a preset salinity threshold value and the target value of the soil humidity to be larger than a preset humidity threshold value; generating a water level adjusting strategy based on the target water level of the underground water, and controlling the opening or closing of the water pump based on the water level adjusting strategy. According to the method, the soil salinity in the future time period is predicted by acquiring the saline-alkali soil monitoring information, so that the target water level of the underground water is obtained, the water level regulation strategy is generated, and the perspectiveness, dynamic nature and stability of underground water level regulation are ensured.

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 provides a cultural relic ancient building hollow beam body damage quantification and bearing capacity verification method, and relates to the technical field of data processing, and the method comprises the steps: obtaining the original detection data of a hollow beam body; noise filtering processing is carried out on the ultrasonic signal data and the infrared imaging data, and correction is carried out in combination with an environment humidity parameter; in combination with the water content data of the detection points, carrying out space partitioning on the structural area of the hollow beam body; analyzing humidity correction data in each space partition, identifying signal abnormal areas, and extracting damage features in each abnormal area; performing weighted normalization processing on the multi-dimensional damage parameters, establishing mapping in combination with the moisture content of the spatial partitions and statistical data, and generating a damage quantification result of each spatial partition; carrying out mechanical analysis by combining the material type, the geometric dimension and the load information of each space partition, and generating a bearing capacity distribution result of the hollow beam body; the accuracy of the method for quantifying the damage of the hollow beam body of the cultural relic and ancient building and verifying the bearing capacity is improved.

The invention discloses an industrial equipment linkage control system based on dynamic time sequence reconstruction, relates to the technical field of kiln linkage control, solves the technical problems that a multi-system collaborative dynamic time sequence reconstruction capability is lacked and chain reaction caused by disturbance coupling is difficult to solve, and provides an industrial equipment linkage control system based on dynamic time sequence reconstruction by distinguishing humidity abnormal levels and customizing a heating strategy. The method ensures that heat release is completely matched with a wet material transmission rhythm, improves product drying uniformity, accurately calculates retention time and rotation speed according to a kiln type, realizes a'moisture evaporation demand-rotation speed-retention time 'closed loop, reduces energy consumption, integrates real-time material parameters, waste heat recovery and environment heat dissipation, accurately calculates a heat gap, and performs graded response, so that the energy consumption is reduced, and the energy consumption is reduced. And finally, a cooling air volume-pressure correlation model and an induced draft fan compensation-pressure repair model are established, accurate pressure compensation during cooling strengthening is achieved, and the stability of the microenvironment in the kiln is improved.

The invention belongs to the technical field of data transmission processing, and discloses a control system and method for intelligent agriculture multilayer soil temperature and humidity sampling. The system comprises a land data acquisition module, an updated data acquisition module, a data set preprocessing module, a soil humidity prediction module, a decision report generation module and a report transmission module, and is characterized in that a land data set is acquired, an updated data set is acquired, the land data set and the updated data set are preprocessed to obtain comprehensive feature data, and the comprehensive feature data are transmitted to the decision report generation module; analyzing the land data set, the update data set and the comprehensive feature data set to obtain a predicted humidity reference value, analyzing the predicted humidity reference value to obtain a soil decision report, processing the soil decision report, and outputting the processed soil decision report to a terminal. The method has the remarkable advantages of high accuracy of sampled soil data, strong auxiliary decision-making capability and good use economic effect.

The invention discloses an intelligent maintenance system and method for a cement stabilized macadam base. The maintenance system comprises a monitoring module, an intelligent control module, maintenance equipment and a covering material, the monitoring module comprises a temperature and humidity sensor, a moisture evaporation sensor and an environment monitor; the intelligent control module comprises a data collector, a data processing unit and a controller; the maintenance equipment comprises a water tank, a water pump, pipelines and nozzles. The maintenance method adopts the maintenance system and further comprises the maintenance steps of data acquisition, data analysis and processing, maintenance decision and control and real-time monitoring and adjustment. The system has the beneficial effects that by monitoring the temperature, humidity, moisture evaporation rate and environmental parameters of the cement stabilized macadam base in real time and utilizing the data processing and control module to accurately calculate maintenance parameters, accurate maintenance of the base is achieved, uniform development of the strength of the base is ensured, generation of diseases such as cracks is effectively reduced, and the service life of a road is prolonged.

The invention belongs to the technical field of road engineering roadbed nondestructive testing, discloses a roadbed humidity nondestructive testing method based on wireless radio frequency signal multi-parameter inversion, and aims to solve the problems that a traditional roadbed humidity testing method is destructive, low in efficiency and discontinuous in monitoring or detection parameters are easily interfered. The method specifically comprises the following steps of: firstly, embedding an RFID tag and acquiring an on-site received signal strength indication value; then establishing a relation model of the received signal strength indication value and the roadbed moisture content, and extracting characteristic parameters only influenced by the moisture content; then, constructing a neural network model, taking the extracted characteristic parameters as input, and utilizing field data to train the model to invert the roadbed moisture content; and finally, the spatial distribution of the moisture content of the roadbed is obtained by combining the distribution of the test points and the roadbed structure information, so that the efficient, non-contact and continuous monitoring of the humidity state of the roadbed is realized.

The invention relates to the technical field of intelligent environment recognition, and particularly discloses a water and soil conservation measure intelligent query method and system based on multi-dimensional parameterization. Temperature and humidity data are collected in real time through a multi-source sensor deployed in water and soil, and a temperature stability characteristic value is calculated by adopting zero-sequence processing and fast Fourier transform; a humidity change rate characteristic value is extracted by combining first-order difference processing and Haar wavelet transform; the feature values are constructed into a comprehensive environment state feature vector, and the comprehensive environment state feature vector is input into a trained random forest model for environment recognition result evaluation; according to the method, the sensing technology, signal analysis and machine learning prediction are fused, the sensing ability, the regulation and control precision and the self-adaptability of the system are improved, the method is suitable for complex and changeable environment scenes, and the method has the advantages of being high in adaptability, high in adaptability and the like. Good application prospects are realized.

The invention discloses a moisture-proof corrugated paper generation method and system based on machine vision. Humidity distribution data are obtained through image acquisition equipment, uniformity deviation characteristics are extracted through an image processing algorithm and input into an intelligent analysis model, and if deviation exceeds a threshold value, a coating thickness adjusting signal is output to determine the spraying amount of a moisture-proof agent; then, on the basis of the spraying amount, a structural integrity image in the forming stage is collected, deformation parameters are extracted, a production parameter optimization instruction is generated through a feedback verification unit in combination with the effect mapping relation model, an execution mechanism is driven to adjust the pre-drying temperature and the forming pressure, and meanwhile finished product moisture resistance detection data are obtained; finally, a closed-loop regulation and control cycle is formed through detection data and deviation characteristics, model parameters are optimized, deviation changes are continuously monitored, the mapping model is dynamically adjusted to adapt to different paper types, intelligent real-time optimization is achieved, and the production efficiency and the moisture-proof performance stability are improved.

The invention belongs to the technical field of soil humidity prediction methods, and particularly relates to a soil deep humidity prediction system and method based on near infrared spectrum and federated learning. The system comprises a near infrared spectrum acquisition device, an auxiliary information acquisition module, an edge end data preprocessing module, a federated learning client module, a cloud federated aggregation server and a man-machine interaction and equipment control module. The method comprises the following steps: establishing a surface humidity estimation model by collecting soil surface near-infrared reflectivity and environment auxiliary information; a deep humidity prediction model is constructed in combination with a heat conduction equation and machine learning, and the accuracy is improved by adopting weighted fusion. A federal learning framework is introduced, local training and cloud aggregation of each agricultural machine are realized, data privacy is protected, and the model generalization ability is improved. The system does not need to destroy the soil structure, has the advantages of non-contact, high efficiency, safety and expandability, and is suitable for intelligent prediction of large-range deep humidity in farmland and linkage control of agricultural operation.

The invention relates to the technical field of permeable material testing, solves the problem that a more complete material selection basis cannot be provided for engineering design in the prior art, and provides a method, a device and equipment for testing the heat dissipation performance of an evaporative cooling material and a storage medium. Acquiring a first mass change value of the to-be-tested sample in the simulated rainfall process; when the instantaneous moisture content meets a preset condition, rainfall simulation is stopped, and a second mass change value of the to-be-tested sample in a preset duration is obtained; placing the to-be-tested sample in the wind tunnel test platform, and obtaining a third mass change value and a surface temperature change value of the to-be-tested sample and an environment temperature change value, a humidity change value and a wind speed change value of the wind tunnel test platform; and obtaining a heat dissipation performance evaluation result of the to-be-tested sample based on the parameters. According to the method, quantitative, comparable and repeatable evaluation of the cooling capacity of the permeable material is realized, and a scientific basis is provided for material performance judgment and application scene selection.

The invention relates to the technical field of concrete durability, and discloses a method for evaluating salt-freezing-resistant cycle performance of concrete. The method comprises the following steps: acquiring salt solution concentration, temperature cycle and humidity cycle monitoring data of an environment where a target concrete test piece is located in real time, and synchronously acquiring surface deformation and internal micro-current response monitoring data of the test piece; generating environment coupling time sequence characteristics according to the environment monitoring data, and performing time-frequency domain fusion processing on the surface deformation and the internal micro-current response data based on a dynamic window function to obtain a concrete response characteristic tensor; performing space-time alignment on the environment coupling time sequence characteristics and the concrete response characteristic tensor, and constructing a three-dimensional degradation characteristic matrix; and performing multi-scale gradient analysis on the matrix to generate a surface degradation gradient field and an internal pore degradation gradient field. The method can comprehensively and accurately evaluate the salt-freezing cycle resistance of the concrete, fits the actual environment, captures degradation information in multiple dimensions, and deeply analyzes the coupling relationship between the environment and degradation.

The invention relates to the related technical field of electric meter boxes, and discloses a moisture-proof electric meter box which comprises a box body, an air inlet groove is formed in the bottom of the box body, an exhaust unit is arranged on the top of the box body, a moisture-proof mechanism is arranged on the box body, and a protection mechanism used in cooperation with the exhaust unit is arranged on the top of the box body. And a lifting mechanism connected with the moisture-proof mechanism is mounted in the box body. When the moisture-proof electric meter box is used, the lifting mechanism drives the dehumidification box to move upwards and synchronously drives the rain sheltering roof to rise, so that the vent groove is opened for air to enter, and the sealing of the exhaust unit is relieved; external air enters the box after being dedusted by the filter plate and dehumidified by the dehumidification box, and the exhaust fan accelerates the discharge of humid and hot air, so that the temperature and humidity in the box are quickly reduced; the problems of element corrosion and insulation aging caused by moisture invasion of a traditional electric meter box are avoided, moisture prevention and heat dissipation are both considered, and the electric meter box is adaptive to outdoor high-humidity and large-temperature-difference use scenes.

The utility model provides refrigeration equipment. The refrigeration equipment comprises a shell; a drawer; a moisture permeable structure; a refrigeration air supply outlet is formed in the refrigeration chamber, an air return inlet is formed in the fresh-keeping chamber, a first distance is formed between the moisture permeable structure and the inner wall of the fresh-keeping chamber, and the refrigeration air supply outlet is communicated with the air return inlet through the first distance. According to the refrigeration equipment provided by the utility model, the first interval is formed between the moisture-permeable structure and the fresh-keeping chamber, so that air flow entering the refrigeration chamber can only flow to the air return port through the first interval, and the air flow is utilized to take away water accumulated on the moisture-permeable structure and damage humidity accumulation on the surface of the moisture-permeable structure; a dynamic and stable internal and external humidity difference environment is established, the moisture permeable effect of the moisture permeable structure is kept, then the fresh-keeping effect of the refrigeration equipment is guaranteed, and the use experience of a user is improved.

The invention discloses a humidity response type rock-soil body low-temperature internal circulation drying device and a control method, and belongs to the technical field of geotechnical engineering experiment equipment. The problems that traditional rock-soil body drying equipment is extensive in humidity control, high in energy consumption, inconvenient to maintain and obvious in temperature difference are solved, and accurate, energy-saving and efficient drying treatment of water-containing rock-soil samples is achieved. According to the invention, a plurality of groups of regulation and control modules are independently arranged, and differential humidity control of rock and soil samples with different water contents is realized through a high-precision humidity sensor and a speed-adjustable dehumidification fan; a closed-loop internal circulation design is adopted, and a heat recovery device is combined, so that introduction of external air is reduced, and energy consumption is reduced; a modular detachable structure is designed, so that parts such as a dehumidification module can be conveniently and quickly replaced, and the maintenance convenience is improved; a multi-heat-source auxiliary system is additionally arranged to eliminate heat dead angles in the box; the device is mainly used for efficient, accurate and environment-friendly drying treatment of rock and soil samples in geotechnical engineering experiments, the drying uniformity can be remarkably improved, the energy consumption and the maintenance cost are reduced, and the device has high applicability and practical value.

The invention discloses a variable-temperature curing method for curing a high-ground-temperature tunnel sprayed concrete test piece, and relates to the technical field of concrete construction. Comprising the following steps: acquiring concrete test piece samples with different water-binder ratios, aggregate types and additive contents, recording hydration heat data of the concrete test piece samples, and performing normalization processing to generate a training sample data set; and establishing a neural network prediction model based on the data set, inputting concrete characteristics, and outputting a hydration heat prediction value. Thirdly, calculating a hydration heat influence index in combination with the thickness and the surface roughness, and meanwhile obtaining environmental parameters in the tunnel, including temperature, humidity and wind speed to calculate an environmental influence index; and finally, dynamically correcting the curing temperature of the to-be-detected concrete test piece by utilizing the heat conductivity of the tunnel surface structure and the comprehensive environment and hydration heat influence index, so that the accuracy and effectiveness of temperature control are ensured, and the overall efficiency and quality of construction are remarkably improved.

The invention relates to the technical field of rock mass mechanical property detection and stability evaluation, and discloses a rock mass stability quantitative evaluation method based on disturbance stress and fracture evolution, and the method comprises the steps: collecting the amplitude spectrum of a target rock mass; monitoring and separating internal fracture sound of the target rock mass to obtain fracture frequency; performing amplitude interference analysis on the target rock mass based on the amplitude spectrum and the fracture frequency to obtain a vibration interference factor of the target rock mass; and performing humidity compensation on the vibration interference factor based on the humidity degree in the target rock mass to obtain an environment compensation factor of the target rock mass, predicting the fracture state of the target rock mass based on the environment compensation factor and the inherent strength parameter of the target rock mass, and generating a stability evaluation report of the target rock mass based on the fracture state. According to the method, the problems that in existing rock mass stability evaluation, disturbance stress and fracture evolution dynamic association is not effectively combined, environmental interference is neglected, strength verification is lacked, and evaluation accuracy and reliability are insufficient can be solved.

The invention belongs to the technical field of water resources and atmospheric climate, and discloses a reservoir water surface evaporation capacity calculation method based on a genetic algorithm, which comprises the steps of data collection, variable screening, model construction, model verification and evaporation capacity calculation. According to the method, variable screening and model construction are optimized through a genetic algorithm, the synergistic effect of key factors such as water temperature (Tw) and net radiation (Rn) is mainly captured, and an air temperature-humidity interaction item is introduced to reflect the inhibition effect. According to the independent data set verification of the Three Gorges Reservoir in 2018-2021, the mean absolute error (MAE) of the model is reduced to 0.21 mm / d, the precision is improved by 108% compared with the Penman formula (MAE = 1.297 mm / d), the measurement and calculation deviation of the evaporation capacity of the complex water area is remarkably reduced, and the actual thermodynamic process is better met.

The invention relates to the technical field of soil moisture content monitoring, in particular to a wireless transmission method and system based on soil moisture content evaporation. The system comprises a data acquisition unit, an MCU control unit, a data transmission unit and a data analysis unit, the MCU control unit adopts a hardware module with an STM32L series single-chip microcomputer as a core. The data transmission unit is realized by adopting an NB-IoT wireless communication module, and the data analysis unit is used for acquiring soil moisture information, soil temperature information and soil humidity information and compensating the soil moisture information based on soil temperature data and humidity data. According to the invention, a frequency domain reflection method measurement technology and a low-power-consumption wide-area Internet of Things technology are combined, so that remote accurate monitoring is realized. The binary regression analysis method is adopted to effectively reduce the influence of the temperature on the sensor precision and reduce the sensitivity temperature coefficient. Ultra-low power consumption is realized through STM32L series MCU and a PSM mode of NB-IoT, and the system is suitable for long-term field monitoring.

The invention discloses an intelligent operation method and system for a double-arm drill jumbo of a large-section tunnel, and relates to the field of tunnel construction, the geometry, integrity, dust and humidity data of a section are collected in real time through a laser radar, an IMU and a surrounding rock pressure and environment sensor, and an operation environment database is constructed and updated; by combining the strength grade of the surrounding rock and the distribution of the soft layer, the posture of the arm support, the chiseling frequency and pressure and the rock entering angle of the bucket teeth are adjusted online in a self-adaptive mode; switching among a high-frequency impact mode, a bucket tooth wedging prying mode and a free face gravity automatic rock breaking mode according to working conditions; excessive impact is restrained and protection is triggered through a vibration monitoring closed loop, efficiency is improved, energy consumption is reduced, secondary damage is reduced, and construction safety and quality are guaranteed.

The invention provides an air conditioner anti-condensation control method and an air conditioner. The method comprises the steps that the absolute moisture content D and the dew point temperature Td of air are calculated according to the outdoor unit environment temperature Ta and the outdoor unit environment relative humidity phi so as to judge whether anti-condensation starting conditions are met or not, and when the anti-condensation starting conditions are met, the initial energy requirement Q of a compressor is determined according to the shutdown interval time m; the target parameters are periodically refreshed; the compressor refrigerating capacity q is obtained based on the target parameters, the actual dehumidification capacity Dx is determined based on the compressor refrigerating capacity q, and the dynamic dew point temperature Tdn is obtained according to the actual dehumidification capacity Dx; and updating the real-time compressor energy demand Qn and the anti-condensation operation time Hn based on the dynamic dew point temperature Tdn so as to adjust the rotating speed of the compressor. Under the condition that the indoor unit and the outdoor unit do not communicate with each other, the outdoor unit can perform fuzzy control to perform anti-condensation protection; and refrigeration load output adjustment can be carried out in real time according to different humidity, and it is guaranteed that condensation is avoided and rapid cooling can be achieved.

The invention discloses a method for calibrating finite-discrete element input parameters of a water-containing rock, which comprises the following steps of: respectively carrying out a uniaxial tensile test, a uniaxial compression test and a triaxial compression test on a dry rock sample and rock samples with different water contents; obtaining an evolution equation of the tensile strength along with the moisture content, an evolution equation of the elastic modulus and the uniaxial compressive strength along with the moisture content, and an evolution equation of the cohesive force and the internal friction angle along with the moisture content; carrying out a lateral constraint water absorption swelling test on the dry rock to obtain a vertical expansion evolution curve; on the basis of the obtained results, the fracture energy, the humidity expansion coefficient and the humidity diffusion coefficient in the finite-discrete element method are calibrated; on the basis of the calibration parameters, finite-discrete element uniaxial and triaxial compression numerical simulation of the rock samples with different water contents is carried out, and simulation results are obtained; and when the error between the test result and the simulation result is within a preset threshold value, obtaining a final parameter calibration result. The invention provides a simple, accurate and efficient parameter calibration means for water-rock interaction mechanism research.

A method of correcting post-warp in a multi-layer product under prevailing conditions includes detecting an initial warp value of the multi-layer product indicative of an initial degree of warpage therein. A moisture-conditioning setpoint is selected from among a plurality of moisture-conditioning setpoints that have been correlated to respective initial warp values and their associated post-warp values for prior-made multi-layer products, based on a comparison between the detected initial warp value and the respective initial warp values in the database. Further, the method includes adjusting a moisture content in at least one layer of the multi-layer product according to the selected moisture-conditioning setpoint.

The invention discloses a concrete shrinkage creep prediction method based on ABAQUS secondary development, which adopts a dynamic time function and Prony series decomposition method to establish a nonlinear creep model considering concrete strength, environmental humidity, theoretical thickness of a component and loading time, and realizes real-time calculation of shrinkage strain through a parameterized interface. And the fitting precision of the creep coefficient is optimized based on the improved strength correction coefficient and the humidity correction function. According to the method, the analysis capability of the ABAQUS on the long-term deformation effect is expanded through secondary development, the calculation efficiency and engineering applicability of time-varying behavior simulation of the large concrete structure are remarkably improved, and the method is particularly suitable for full-life periodic performance evaluation of deformation sensitive structures such as bridges and dams.

The invention relates to the technical field of road engineering, in particular to an automatic subgrade soil humidity control system, a design scheme generation method and a medium, the system comprises a geotechnical composite layer, the geotechnical composite layer comprises a first composite layer, a second composite layer and a third composite layer, the first composite layer absorbs moisture of a subgrade soil body, and the second composite layer discharges moisture of the subgrade soil body; the third composite layer blocks underground capillary water; the collecting assembly is used for collecting roadbed soil humidity and external environment humidity; and the control assembly is used for carrying out humidity control operation on the geotechnical composite layer according to the roadbed soil body humidity and the external environment humidity so as to control the geotechnical composite layer to absorb or discharge moisture of the roadbed soil body. The system can automatically control the novel geotechnical composite layer to actively absorb and drain water to the roadbed soil body according to the humidity of the roadbed soil body and the humidity of the external environment, so that the humidity of the roadbed soil body is kept in a constant and safe state for a long time.

The invention belongs to the technical field of road engineering, and particularly relates to a roadbed solid waste modified soil tensile strength estimation method considering freeze-thaw cycle, which comprises the following steps: determining the maximum dry density and optimal water content of solid waste under different W / C conditions through a heavy compaction test; the method comprises the following steps: preparing a sample, and putting the sample into a high-low temperature alternating testing machine for freezing and thawing cycle treatment; then carrying out a tensile test; and finally, comparing and analyzing the tensile strength corresponding to the solid waste under different working conditions, and establishing a tensile strength estimation model comprehensively considering the solid waste clay ratio, the relative compactness, the saturation degree and the freezing and thawing cycle number. By comprehensively considering the influence of factors such as gradation variables, compactness variables, humidity variables and environment variables on the tensile strength, rapid prediction of the tensile strength of the solid waste material under different conditions is realized, the model is clear in physical significance and simple in structure, the test difficulty is reduced, obvious engineering convenience is provided for units without test conditions, and the test efficiency is improved. High market popularization values are realized.

The invention provides a method for adjusting the moisture content of a tackified soil material yard, and belongs to the technical field of water conservancy and hydropower engineering construction. Calculating the unit water supplementing amount required by the unit volume of cohesive soil in each partition; calculating the total water supplementing amount required by the cohesive soil in each subarea; the number of water supplementing pits in each partition is determined; a plurality of water replenishing pits are uniformly arranged in each subarea; and the multiple arranged water supplementing pits are filled with water, mining is carried out after the water supplementing pits are placed for 2-5 days, mixing is carried out while mining is carried out, and the mixture is loaded and transported to a filling site after uniform mixing. According to the method, the water supplementing pit is arranged in situ in the mining material field, blending is carried out while mining is carried out, the uniformly-blended cohesive soil is directly loaded and transported to the filling field for use, the construction procedure is simple, a temporary soil material stacking field does not need to be additionally developed, secondary soil material transferring is not needed, and the treatment cost is saved; and the moisture content of the soil material increased by the method is close to the optimal moisture content, the humidity is uniform, and the quality of the soil material can be effectively improved.

The present application relates to the technical field of leakage detection, in particular to a method and system for detecting leakage of an anti-seepage layer in the construction of an artificial wetland, which determines the seepage time period in which each electrode grid may produce seepage by analyzing the changes in the potential difference data and humidity data of the electrode grid below the anti-seepage layer; based on the seepage time period, analyzes the coincidence of liquid diffusion between different electrode grids, and divides the electrode grid into several diffusion regions; divides the diffusion regions into suspected damage regions and diffusion interaction regions, and analyzes the area relationship between the suspected damage regions and the diffusion interaction regions to obtain the seepage damage probability of the diffusion region corresponding to each electrode grid; and according to the seepage damage probability, marks the leakage point region. Through the present application, the region where the anti-seepage layer may be damaged and diffused can be more accurately positioned, the accuracy of identifying the specific position of the anti-seepage layer where leakage occurs is improved, and the credibility of the leakage detection result of the anti-seepage layer is further improved.

The utility model discloses a humidity-adjustable planting device which comprises a planting box body, the planting box body is of a shell structure, the planting box body comprises planting box side walls and a planting box bottom, a mixing cavity isolation wall is fixedly arranged at the planting box bottom, the height of the mixing cavity isolation wall is lower than that of the planting box side walls, and the height of the mixing cavity isolation wall is larger than that of the planting box side walls. The inner side of the planting box side wall, the bottom of the planting box and the outer side of the mixing cavity isolation wall jointly define a soil-liquid mixing cavity, and the soil-liquid mixing cavity is of a structure with the upper portion open. A liquid storage device is arranged on the outer side of the side wall of the planting box and connected with the side wall of the planting box through a height adjusting device, and the height adjusting device is used for adjusting the height of the liquid storage device relative to the bottom of the planting box. The bottom of the liquid storage device is connected with a first liquid conveying pipeline, the first liquid conveying pipeline communicates with the interior of the liquid storage device and the soil-liquid mixing cavity, and the liquid storage device and the soil-liquid mixing cavity form a communicating container through the first liquid conveying pipeline.

A drying storage according to the present invention can be carried or moved by a user or installed as a built-in in the user's residence, and can maintain an object in a dried state after drying the object to be dried, so that the convenience of use can be improved, wherein a desiccant material with an equilibrium moisture content suitable for the temperature and humidity conditions in which the drying storage is used, is applied so that the inside air of the drying storage is inhaled during a dehumidification operation to allow sufficient dehumidification and the outside air of the drying storage is inhaled during a regeneration operation to enable sufficient regeneration of the desiccant material.