830 results about "Moisture capacity" patented technology

The invention discloses a loess tunnel surrounding rock deformation monitoring method, and relates to the technical field of civil engineering and geological engineering, and the method comprises the steps: integrating a spiral winding type optical fiber sensor, a double-cavity humidity compensation vibrating wire sensor and a microseismic array, and capturing surrounding rock strain, vibration and geological activities; the vibrating wire sensor suppresses humidity interference through a silicone oil damping medium and self-adaptive excitation frequency, and the optical fiber sensor is fixed through a pre-embedded silica gel sleeve to adapt to surrounding rock deformation; edge computing nodes are deployed on the inner wall of the tunnel, an FPGA chip and a lightweight GRU model are integrated, optical fiber strain, a micro-seismic energy spectrum and laser point cloud displacement field data are fused in real time, the strain gradient is analyzed, and a crack propagation probability cloud picture is generated; redundant optical fiber link switching is combined with a six-degree-of-freedom mechanical arm to realize breakpoint self-repairing, and a self-cleaning air curtain is integrated to inhibit dust adhesion; and constructing a geological parameter library based on a BIM-GIS fusion platform, driving a finite element-discrete element coupling model to dynamically update boundary conditions, and predicting surrounding rock deformation and collapse risks.

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 intelligent soil moisture content monitoring and precise irrigation linkage system, and relates to the technical field of irrigation. Key parameters such as moisture content, temperature, humidity and conductivity of soil are obtained in real time through a soil moisture content monitoring module, processed by a data acquisition and transmission module and transmitted to a control center; the control center carries out deep analysis and evaluation on the soil moisture condition through the edge computing gateway and the cloud decision controller, an accurate irrigation control instruction is generated, the irrigation control execution module carries out accurate regulation and control on irrigation equipment according to the instruction, and reasonable irrigation of a farmland is achieved. The system can comprehensively master the moisture condition of farmland soil, provides data support for precise irrigation, improves the precision and efficiency of irrigation, saves water resources, is intelligent and high in automation degree, can reduce manual intervention, reduces the labor cost, and improves the stability and reliability of irrigation at the same time.

The invention relates to the technical field of intelligent regulation and control, in particular to a method for predicting and adjusting the moisture content of raw materials for shaving board production. According to the method, the raw material drying section disturbance parameter set and the moisture content detection sequence record in the shaving board production process are obtained, symbol matching, amplitude sorting and disturbance direction and influence intensity marking are carried out in combination with the prediction sequence and the disturbance characteristic sequence, so that the raw material moisture content prediction has the dynamic trend judgment capability; tracing correlation can be carried out on a disturbance source, prediction sequence amplitude adjustment is carried out through a disturbance direction and an amplitude mark, prediction correction of disturbance response and trend inversion abnormal point detection are achieved, and meanwhile local residual analysis is introduced to construct a trend residual sorting table; the abnormal inflection point is taken as the core to carry out weight sorting of the correction result and guide scaling and direction adjustment of the moisture content correction trend, and finally, adjustment instructions of the hot air temperature, the heating source power and the drying channel humidity are generated according to the deviation degree of the prediction result and the target set value.

The invention relates to the technical field of power distribution cabinets, and discloses a power distribution cabinet with a self-adaptive environment adjusting mechanism, and the power distribution cabinet comprises a cabinet body which is used for fixing and supporting internal electrical elements; the automatic dehumidification assembly is mounted on the outer side of the cabinet body and is used for dehumidifying the cabinet body when detecting that the moisture content in the cabinet body is too high; the cleaning assembly is installed on one side of the cabinet body and used for conducting anti-blocking treatment on a filter screen arranged outside the cabinet body, and the driving assembly is installed outside the cleaning assembly and used for driving the cleaning assembly. By adding the automatic dehumidification assembly, the humidity in the power distribution cabinet can be effectively reduced, and the risk of electrical short circuit caused by a humid environment is reduced. By discharging moisture, safe operation of electrical equipment is guaranteed, and fire and electric shock accidents caused by moisture are avoided. And meanwhile, corrosion and aging processes can be slowed down, the service lives of the power distribution cabinet and internal components are remarkably prolonged, and the maintenance and replacement cost is reduced.

The intelligent control method comprises the steps that a plurality of sensors and frequency converters are installed and used for monitoring the air temperature and humidity, the moisture content and the front-back pressure difference of a fresh air filter in real time; regulating and controlling the rotating speed of an air feeder, the rotating speed of a regeneration fan and the rotating speed of a rotating wheel through a frequency converter, obtaining sensor data under corresponding rotating speeds, and establishing an air supply quantity model, a fresh air quantity model and a rotating wheel dehumidification quantity model; the power of an air feeder, the front-back pressure difference of a fresh air filter and air parameter data are collected in real time, and the current dehumidification load is calculated according to a fan air supply amount model, a fresh air amount model and a preset formula; and selecting a preset control strategy to dynamically adjust the rotating speed of the rotating wheel, the rotating speed of the regeneration fan and the regeneration temperature according to the current dehumidification load and / or the rotating wheel dehumidification amount model so as to realize indoor humidity control. Start and stop can be automatically controlled and the dehumidification amount can be matched according to the actual wet load, excessive dehumidification or idle work is avoided, and the dehumidification efficiency is improved through multi-parameter cooperative control.

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 relates to the technical field of safety assessment of building construction, and discloses an online simulation analysis method for safety assessment of a foundation pit, which comprises the following steps: S1, data acquisition, cleaning and preprocessing: acquiring soil pressure, underground water level, structural deformation, temperature and humidity information around the foundation pit by deploying a plurality of sensors, the invention further provides an online simulation analysis system for foundation pit safety assessment, online simulation analysis equipment for foundation pit safety assessment and a computer readable storage medium. The deep reinforcement learning algorithm, the intelligent early warning mechanism and the distributed storage and encryption technology are introduced, real-time monitoring, accurate early warning and data safety guarantee of foundation pit safety assessment are achieved, and the safety, efficiency and reliability of the foundation pit construction process are improved.

The invention discloses an evapotranspiration satellite remote sensing inversion method directly considering soil humidity stress, and the method comprises the steps: firstly constructing an improved canopy water vapor conductivity model, and then enabling the conductivity model to be coupled into a canopy transpiration module in a P-LSH algorithm, and obtaining an improved canopy transpiration algorithm; then analyzing the sensitivity and uncertainty of framework evaluation parameters, constructing a most effective humidity stress model suitable for bare soil evaporation in a bare soil area, and coupling the humidity stress model into a soil evaporation mode in a P-LSH algorithm to form an improved bare soil evaporation algorithm; and finally, coupling the improved canopy transpiration algorithm and the improved bare soil evaporation algorithm in combination with a water evaporation module in the P-LSH algorithm to obtain a global evapotranspiration remote sensing inversion algorithm directly considering soil humidity stress. According to the method, the stress effect of soil humidity on evapotranspiration is considered, a global evapotranspiration remote sensing inversion algorithm is developed, and a global evapotranspiration product with high precision and high temporal-spatial resolution is generated.

The invention discloses an energy-saving control method and system for drying equipment, relates to the technical field of energy saving, and aims to remarkably improve the drying efficiency and reduce the energy consumption by accurately controlling heat flow transfer and optimizing the heating process. Comprising the steps of firstly obtaining material parameters and establishing a heat flow simulation model; the power of a heating source is controlled through a multi-layer heat transfer adjusting mechanism, and it is ensured that each layer of material reaches the preset heat transfer condition in the whole drying process; dynamically adjusting heating source power and airflow parameters according to material surface temperature, humidity and airflow data detected in real time; optimizing a heat transfer efficiency function by using a genetic algorithm to improve heat distribution efficiency; the heating source power and the airflow direction are adjusted by monitoring the material moisture change in real time. The system comprises a data acquisition module, a heat flow simulation module, a feedback control module, a genetic algorithm optimization module, a moisture monitoring module and an increment updating module, the energy efficiency of the drying equipment is improved, and energy consumption is reduced.

The invention discloses rotating wheel drying and dehumidifying equipment with a moisture content monitoring function, the dehumidifying equipment comprises a bottom frame, a drying material barrel, a humidity tester, a box body and an air path assembly, the bottom frame is fixedly connected with the drying material barrel and the box body, the drying material barrel is fixedly connected with the humidity tester, the humidity tester is arranged at the bottom of the drying material barrel, and the box body is fixedly connected with the drying material barrel. The box body is fixedly connected with the gas path assembly, the gas path assembly comprises a drying gas path, the drying gas path comprises a return air filter and a drying electric heater, and the return air filter and the drying electric heater are both connected with the drying material barrel through pipelines; the invention relates to the technical field of drying and dehumidifying equipment, which can ensure continuous dehumidification, uninterruptedly and continuously output dry air, treat large-air-volume and high-humidity air, expand the range of a moisture absorption area, prolong the adsorption time, improve the single-time adsorption effect and ensure that the situation of dehumidification leakage is avoided. The moisture of the dried material is measured through infrared rays, and pollution and damage caused by contact measurement are avoided.

The invention provides a soil humidity detection method and system, and the method comprises the steps: determining the soil water potential of each horizontal sampling point through the soil moisture of each horizontal sampling point, and determining the diffusion attenuation rate of the humidity in a target soil region on the horizontal scale through all soil water potentials and the soil moisture tension on the horizontal scale in the target soil region; determining a sedimentation coefficient of moisture in the target soil area according to the soil moisture of each vertical sampling point, and determining permeation distribution of humidity in the target soil area on the depth scale according to the sedimentation coefficient; performing scale fusion on the attenuation rate of the humidity diffused on the horizontal scale and the permeation distribution on the depth scale to obtain the diffusion gradient of the humidity of the target soil area on the spatial scale; performing confidence humidity detection on the target soil area based on the diffusion gradient of the humidity to obtain a confidence humidity value of the target soil area; by adopting the scheme provided by the invention, multi-scale space detection of the soil humidity can be realized, so that the credible range of soil humidity detection is increased.

The invention discloses a near-infrared on-line intelligent detection system and method for material moisture of a conveying belt, and relates to the technical field of material moisture detection.The system comprises a material and environment information acquisition module, a data processing module and a data processing module, meanwhile, temperature, humidity and air pressure sensors are used for monitoring changes of environmental factors in real time, equipment is calibrated and maintained regularly, and parameters are initialized before detection; according to the invention, material characteristic pre-identification and environmental factor real-time sensing functions are integrated, and parameters of the near-infrared detection module are dynamically adjusted by using an intelligent algorithm so as to adapt to changes of different material characteristics and environmental factors, so that the detection system can accurately detect various material characteristics in a complex and changeable industrial field environment. And high-precision and high-stability moisture detection can still be maintained.

The invention relates to the technical field of rainfall type loess side slope instability early warning methods, and discloses a rainfall type loess side slope instability early warning method and system based on multi-source data fusion, and the method comprises the steps: S1, arranging a sensor network on a side slope, and collecting rainfall capacity, surface displacement and soil pressure data in real time; s2, preprocessing the collected multi-source data, including data cleaning, missing value filling and data standardization; and S3, extracting characteristic indexes capable of reflecting the stability state of the slope from the preprocessed data. Environmental data of the loess slope, such as rainfall, evaporation capacity, temperature and humidity, are acquired by using a sensor network; the deformation data comprises earth surface displacement, deep displacement and crack width; the mechanical data comprises soil pressure, pore water pressure and soil moisture content; image data: a slope surface image and a crack development image are collected, an early warning model is constructed based on a machine learning algorithm, and data features can be automatically learned.

The invention relates to the technical field of large-area field concrete construction, and discloses a large-area field concrete construction method based on BIM (Building Information Modeling), which comprises the following steps: acquiring data of a current construction site, and obtaining the required quantity of concrete and reinforcing steel bar materials required by construction according to an established BIM model and requirements in a drawing. According to the method, the environment temperature and the environment humidity in the pouring process are collected, the pouring process is regulated and controlled according to the environment temperature and the environment humidity, and after the concrete curing quality index CIi of the ith pouring area is generated at the same time, the quality states of n different pouring areas are scored; the pouring quality of each pouring area is scored, the environment temperature and humidity data of the pouring module with the highest pouring score in the pouring process and the use amount condition of each day in the pouring process are stored, and data support is provided for follow-up pouring.

The invention relates to the technical field of the Internet of Things, in particular to a landscaping intelligent management method and system based on the Internet of Things, and the method comprises the following steps: obtaining humidity, temperature, pH value and salinity sensors deployed in a landscaping area, collecting the monitoring data of an integral point, synchronizing the values of the four types of sensors, and eliminating change rate abnormal points. And a distributed soil sensing data set is generated after integration and archiving. According to the method, the time consistency is ensured and the monitoring precision is improved through hourly data synchronization and abnormal value elimination, the microenvironment change identification capability is enhanced through comprehensive analysis of salinity, humidity and temperature, the abnormal region discrimination accuracy is improved, and after a plant database is matched, the actual guidance value of plant adaptability assessment is improved, the health risk direction is defined, and the health risk assessment efficiency is improved. Historical irrigation and salinity analysis reveal the structural deviation of irrigation behaviors, the irrigation scheme is adjusted in a partitioned mode, the pertinence of resource allocation and the water-saving efficiency are enhanced, and efficient, accurate and self-adaptive development of landscaping management is promoted.

The invention relates to the technical field of concrete structure maintenance, and discloses an adjustable pier column intelligent water-saving spraying maintenance method and a maintenance device.The method comprises the following steps that a cover body of a pier column is arranged on the periphery of the pier column, and pier column surface humidity data are collected through sensing devices arranged on the periphery and the surface of the pier column; whether the spraying triggering condition is met or not is judged in combination with a preset control strategy, the control strategy is adjusted based on one or more of the environment temperature, the wind speed, the time and the historical spraying data, the spraying system is controlled to execute spraying operation when the spraying triggering condition is met, and the spraying operation is used for a spraying head opening area. Recycled water generated by spraying is collected through the seepage and drainage pipe. The closed or semi-closed spraying space is formed by arranging the cover body module, and the fresh-keeping film or tarpaulin wrapping structure is combined, so that local humidity stable control and evaporation suppression of the spraying environment are realized, and the effects of remarkably improving the spraying maintenance efficiency and reducing the water loss are achieved.

The invention, which relates to the technical field of landscaping maintenance, discloses a landscaping maintenance control system comprising a data acquisition module, a data transmission module, a calculation processing module, a maintenance adjustment module and a monitoring optimization module. According to the system, various environmental data of landscaping can be collected in real time, a maintenance strategy is automatically customized in combination with the actual condition of landscaping maintenance, the control system can accurately control the humidity of soil, the irrigation strategy can be dynamically adjusted, efficient utilization of resources is achieved, and the system is suitable for large-scale popularization and application. And self-adaptive optimization and adjustment of the system are carried out based on data acquired in real time and comprehensive calculation and evaluation results, so that the system has the effects of intelligence and practicability.

The invention discloses an assembly type foundation pit support monitoring and early warning method and system for a soft soil area, and relates to the technical field of monitoring and early warning methods and systems.The assembly type foundation pit support monitoring and early warning system comprises an environment collection module, a stress collection module, a construction planning module, a dynamic monitoring module and a trend prediction module; by monitoring an environment influence value and a construction influence value established for the fabricated foundation pit support, drainage measures are added in a targeted manner in time to reduce the underground water level and strengthen waterproof measures around the foundation pit, meanwhile, the rainfall is closely concerned, people and equipment are evacuated in advance when the rainfall is continuously too large, and a construction plan is adjusted; on the basis of avoiding key operation, environment influence values and construction influence values in a high-temperature or high-humidity environment, a comprehensive influence value is established, the stability of the fabricated foundation pit support is dynamically monitored, a data table of the environment influence value m, the construction influence value n and the comprehensive influence value S is established according to a construction planning process, and prediction and early warning are performed on a support structure.

The invention relates to the technical field of industrial control, and discloses a real-time dynamic tuning system for a microwave drying process, which is characterized in that temperature distribution, microwave power intensity, humidity gradient and material deformation parameters in a drying cavity are acquired in real time, and time-space alignment and noise suppression are carried out on data of a multi-source sensor based on a Kalman filtering algorithm; generating a drying state matrix, generating a three-dimensional regulation and control instruction containing microwave emission frequency, power partition and drying time according to the drying state matrix by adopting a mixed algorithm of model predictive control and fuzzy logic, and taking the deviation between a final moisture content detection value of the material and a model predictive value as a loss function through an online error back propagation model. The weight coefficient of the microwave-thermal-mass transfer coupling model is dynamically corrected, the microwave energy ratio is optimized based on the improved particle swarm optimization, and the three-dimensional gradient field intensity distribution matched with the material morphology is generated according to the three-dimensional regulation and control instruction, so that the efficiency of the microwave drying process during real-time dynamic regulation and optimization is improved.

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 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 discloses a new energy power generation prediction method based on weather data, and the method comprises the following steps: a, carrying out the characteristic analysis of a raw material, collecting the physical characteristic parameters of a biomass raw material, including the heat value of a dry basis, the moisture content of a wet basis and the mass, and generating an initial power generation prediction through a thermodynamic model; b, a distributed temperature and humidity sensor network is deployed in a raw material storage area, temperature, humidity and rainfall data are collected in real time, and the raw material mildew rate and moisture content change are dynamically predicted in combination with environmental parameters; through multi-dimensional data perception, multi-physical field coupling modeling and an intelligent decision engine, dynamic prediction of the raw material quality and the transportation efficiency in biomass energy power generation is realized, the power generation capacity prediction error is reduced, meanwhile, the raw material loss is reduced, and a key technical support is provided for large-scale efficient utilization of biomass energy power generation in new energy power generation.

The invention relates to a structure anti-seepage waterproof technology, in particular to a concrete structure anti-seepage performance analysis method considering a multi-physics field coupling effect, which comprises the following steps of: establishing a chemical-thermal-mechanical multi-field coupling model in a concrete hydration process by comprehensively considering various influence factors such as hydration heat, temperature, humidity and structure constraint and combining a phase field theory; solving is carried out through refined numerical simulation, and the concrete crack development and evolution process is obtained. The method has the advantages that multiple influence factors such as hydration heat, temperature, humidity and structural constraint are comprehensively considered by constructing the multi-factor coupled phase field model, the cracking risk of the concrete can be accurately estimated, and comprehensiveness and accuracy of impermeability performance evaluation are improved. By combining finite element simulation and based on a high-precision numerical simulation technology, the anti-permeability performance of the concrete structure under different working conditions can be predicted, and a scientific basis is provided for engineering design.

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.

An illustrative example of a planting machine includes a processing system, a moisture measurement device in communication with the processing system, a seed delivery system in communication with the processing system, and a water dispersion system in communication with the processing system. The processing system is configured to, receive one or more soil moisture measurement signals from the moisture measurement device, determine one or more water dispersion parameters based at least in part on a soil moisture measurement signal from the moisture measurement device, and transmit a control signal to one or more of the seed delivery system and the water dispersion system to disburse a desired amount of water with a commodity based at least in part on the determined water dispersion parameters.

The invention relates to the technical field of data processing, in particular to a water conservancy project construction flying dust control method and system. Comprising the steps of collecting environmental data of a water conservancy project construction site in real time through monitoring points arranged on the water conservancy project construction site; according to the environment data, the spraying intensity of each construction area at the current moment is determined, and then real-time regulation and control are conducted on each spraying head of a spraying system on the construction site; wherein the environment data comprises position coordinates, wind speed, wind direction, humidity and PM2.5 concentration of the monitoring points. According to the method, the PM2.5 concentration is considered, data such as the wind speed, the wind direction, the humidity and the position coordinates of the monitoring points are taken into consideration, and the spraying intensity suitable for the current moment and the environment characteristics of the current construction area is obtained. Therefore, each construction area can adopt different spraying intensities to carry out dust raising control according to self environment characteristics, and the best construction dust raising control effect is achieved with the most appropriate spraying intensity.