15 results about "Soil change" patented technology

A digital-physical twin system and method for environmental process modeling and forecasting are disclosed. The system includes a digital twin server configured to receive environmental data from a real-world environment, including hyperspectral and spectroscopic imaging, simulate environmental process transitions using a predictive model based on the environmental data, and generate parameters for a physical experiment designed to validate or refine the predictive model. A physical twin device, comprising a scaled and instrumented representation of the real-world environment, is configured to execute the physical experiment under controlled conditions. Experimental data is returned to the digital twin to iteratively refine the predictive model in a closed-loop learning cycle using self-supervised and reinforcement learning. The system supports spatially-spectrally selective experimentation, including fluorescence spectroscopy, to enhance environmental sensing. This architecture enables scalable, sample-efficient modeling of processes such as post-wildfire hydrology, vegetation regrowth, and soil change.

The application provides a kind of bio-based degradable material to arid region field soil environment influence evaluation analysis method.The bio-based degradable material to arid region field soil environment influence evaluation analysis method includes a. Provide a multi-factor environment simulation model, the model combines different aridity, seasonal variation, long-term climate fluctuation factor, describes the dynamic process of soil change.The bio-based degradable material to arid region field soil environment influence evaluation analysis method, by introducing multi-factor environment simulation model, it is avoided that the problem that only single environmental condition is based on in the previous experiment by integrating a variety of variables such as aridity, seasonal variation, climate fluctuation into experimental design.This innovative design enables the method to verify the influence of bio-based degradable material on soil environment under a wider range of conditions, significantly improving the extrapolation and accuracy of experimental results.

The present disclosure provides a soil pollution remediation control method, system, medium and computer program product, the method comprising: obtaining initial soil pollution data of an actual contaminated site to obtain a corresponding target remediation scheme; the target remediation scheme comprises a plurality of sub-remediation schemes, each sub-remediation scheme comprising at least one remediation technology; obtaining a target mapping model matched with the sub-remediation scheme; generating a remediation control instruction corresponding to the sub-remediation scheme based on the target mapping model, and determining a matched remediation device; issuing the remediation control instruction to the matched remediation device to perform corresponding remediation operations. The present disclosure can remotely control the on-site device based on the platform, and can also dynamically monitor the soil changes and device states during the remediation process in real time, so as to timely and adaptively make targeted remediation adjustments to ensure the accuracy and timeliness of the remediation control, improve the remediation quality and efficiency of the soil, and achieve the effect of intelligent operation construction.

The invention relates to the technical field of potted plant irrigation, and discloses a potted plant irrigation regulation and control method, device and system and a storage medium. First soil state information, detected by a detection device, of a potted plant is obtained, and a predicted irrigation strategy is determined according to the first soil state information and a preset irrigation strategy model; and the irrigation device is controlled to irrigate the potted plants according to the predicted irrigation strategy, so that intelligent and personalized management of potted plant irrigation is realized. The soil change state of the potted plant detected by the detection device within the preset time interval when irrigation starts is obtained, the soil state change curve is generated, the preset irrigation strategy model is adjusted according to the soil state change curve, the irrigation strategy is adjusted in time, the irrigation accuracy and the resource utilization rate are improved, and healthy growth of plants is facilitated.

The invention discloses a well lid structure convenient to maintain, which comprises a well body seat, and a connecting mechanism is mounted on the well body seat and is used for being connected with the well body seat. The connecting mechanism comprises a pressing cylinder slidably connected with the interior of the well body base, at least one step edge is machined on the pressing cylinder, the lowest point of the step edge is fixedly connected with an inserting piece, and a clamping assembly is installed at the bottom end of the step edge. According to the well lid structure convenient to maintain, when a height difference is generated between the well lid and the ground due to uneven settlement of the ground or change of surrounding soil texture, maintenance personnel do not need to carry out tedious operation like a traditional mode, and due to the fact that a pressing cylinder is matched with a step supporting block through a step edge and an inserting piece, the maintenance efficiency is improved; maintenance personnel only need to lift the pressing cylinder upwards, reselect the stepped supporting block inserting groove with the appropriate height according to actual needs and insert the inserting piece into the stepped supporting block inserting groove, and then height adjustment can be rapidly completed.

The application discloses the technical field of Pinus massoniana root system detection and relates to a method for determining the response characteristics of Pinus massoniana root system growth dynamics to soil changes, which comprises the following steps: step 1, formulating a sampling route and a plurality of data sampling depths around Pinus massoniana in different areas; step 2, drilling sampling holes along the sampling route in sequence, and forming sliding grooves arranged along the length direction of the inner side wall of the sampling holes and a plurality of limiting ring grooves perpendicular to the sliding grooves, the depths of the limiting ring grooves corresponding to the data sampling depths one by one; step 3, installing sampling tubes into the sampling holes along the sliding grooves; step 4, collecting soil at each data sampling depth through a data acquisition device; and step 5, determining the response characteristics of Pinus massoniana root system growth dynamics to soil changes. When the response characteristics of Pinus massoniana root system growth dynamics to soil changes are determined, the method improves the convenience of soil and Pinus massoniana root system information collection and makes the soil and Pinus massoniana root system information have higher accuracy.

This disclosure provides a method, apparatus, device, and storage medium for simulating hydraulic erosion. The method includes acquiring state information of water droplets and their first location, the state information including water content, sediment content, and flow velocity; determining soil change at the first location based on the state information; determining the height difference between the first location and adjacent locations based on the soil change; determining soil slip at the first location based on the height difference; and generating a simulation result for the first location based on the soil change and soil slip. By determining the soil change at the first location using the state information of the water droplets, then determining the soil slip between the first location and adjacent locations based on the soil change, and finally simulating hydraulic erosion at the first location using the soil change and soil slip, the simulation effect of hydraulic erosion can be improved.

The invention relates to a soil in-situ artificial cooling automatic control method and system based on machine learning, and relates to the technical field of soil cooling control, and the method comprises the steps: constructing a parameterized control equation between a temperature drop rate and a control parameter; establishing a constant dynamic mapping model between the soil property parameters and the parameter constants; inputting the initial soil property parameters of the target area into the constant dynamic mapping model to obtain a dynamic parameter constant, and updating the parameterized control equation; a forward simulation environment is initialized according to the cooling task book, forward simulation calculation is iteratively carried out, a cooling control decision is made, and a cooling control parameter sequence is obtained; and executing the cooling control parameter sequence to realize manual cooling control. The problems that a traditional soil cooling method is difficult to adapt to soil changes, the cooling precision is low due to the single control mode, the cooling duration is not up to the standard, energy consumption is too high, and the precise cooling requirement in different scenes is difficult to meet are solved.

The invention relates to a soil monitoring device and system and a monitoring analysis method, and relates to the technical field of soil monitoring. The device comprises adjusting mechanisms and soil detection rods, each adjusting mechanism comprises an adjusting plate and an extension frame, the soil detection rods are connected with the extension frames, the number of the soil detection rods and the extension frames is multiple, and the angle between the adjusting mechanisms can be adjusted. The detection rod is telescopic, is integrated with a sensor module and is externally connected with a power supply module. The system comprises the device, a data storage and processing unit and an analysis and visualization platform, and the platform can early warn and predict soil changes and provide suggestions. The monitoring analysis method comprises the steps of deployment calibration, real-time monitoring, data transmission and storage, hierarchical data analysis, comprehensive analysis visualization and intelligent decision support. The invention further relates to a sensor reading correction and dynamic hierarchical positioning method. The system can realize multi-layer real-time comprehensive monitoring of soil, improves the precision and comprehensiveness, improves the data analysis value, has the characteristics of intelligence and automation, and is wide in application.

The invention relates to the technical field of water-saving sprinkling irrigation, in particular to a full-automatic large sprinkling irrigation operation system and method.The method comprises the steps that vegetation images are collected to recognize the growth stage of vegetation, and the actual evaporation amount of the vegetation every day is determined according to the growth stage of the vegetation and the environment temperature every day; on the basis of the daily rainfall and the soil infiltration coefficient of the vegetation area, the daily effective rainfall is obtained, and the daily evaporation rainfall characteristics of vegetation are obtained in combination with the actual evaporation capacity; determining daily effective rainfall characteristics, analyzing daily soil change conditions by using daily effective rainfall capacity and daily irrigation capacity, and obtaining daily comprehensive moisture characteristics of the vegetation; and in combination with the evaporation rainfall characteristics, the effective rainfall characteristics and the daily comprehensive moisture characteristics, utilizing a machine learning algorithm to obtain the moisture state of the vegetation every day, and determining the total irrigation volume required by the vegetation area every day. Therefore, the accuracy and flexibility of crop irrigation are improved.

The present application relates to a kind of simulation monitoring devices and methods of frozen soil change process.The simulation monitoring device includes thermostat, thermostat is built in image acquisition device and oppositely arranged light source, object table and the frozen soil structure simulation device and temperature control device of setting on object table are set in thermostat, and image processing device is set outside thermostat.The frozen soil structure simulation device is simulated by setting multiple convex parts and setting coating layer on convex part, for simulating soil pore structure characteristics, constructs high simulation nature soil simulation environment, highly restores the pore characteristics of natural soil under freeze-thaw environment and the migration environment of soil pollutant.The simulation monitoring method realizes the simulation and monitoring of the migration behavior of microplastic particles in soil, has excellent simulation and very high experimental precision, and has important significance to the evaluation and management of the environmental problems of widely distributed cold region pollution site.

The application discloses a water and fertilizer fertilizing device for intelligent irrigation, and relates to the technical field of agricultural fertilization. The water and fertilizer fertilizing device comprises a data acquisition mechanism, a user interaction system, a data acquisition processing system connected to the data acquisition mechanism, and a user interaction system electrically connected to the data acquisition processing system. The water and fertilizer fertilizing device further comprises an intelligent judgment system, an execution control system, a water and fertilizer deployment mechanism and an irrigation mechanism. In the application, the data validity judgment mechanism is combined to ensure the data authenticity and avoid misjudgment caused by sensor failure. The unmanned aerial vehicle acquisition component automatically samples when the soil is abnormal, and the manual detection and multi-source data fusion processing are combined to improve the response capability to complex soil changes. The image acquisition unmanned aerial vehicle analyzes the plant leaf state and growth condition, cooperates with the soil data to generate a differentiated water and fertilizer scheme, and solves the problem of matching the nutrient demand of plants in different physiological stages.

The present application relates to a kind of based on wetting and drying cycle technology's expansive soil side slope support anchor rod and supporting method, support anchor rod includes anchor rod body, water amount regulating device and control device;Anchor rod body is equipped with pressure detection device, for when the water content of surrounding soil changes, the confining pressure that the surrounding soil is applied to anchor rod body is detected and sent to control device;Control device is connected to pressure detection device and water amount regulating device respectively, for receiving confining pressure sent by pressure detection device, and according to confining pressure corresponding control water amount regulating device action;Wherein, when the water content of surrounding soil increases and leads to confining pressure greater than preset value, water amount regulating device absorbs and stores the moisture of surrounding soil;When the moisture of surrounding soil reduces and leads to confining pressure less than preset value, water amount regulating device drains to surrounding soil.Will be self-adapting the change of the water content of surrounding soil, avoid support anchor rod to be deformed by excessive confining pressure, can maintain stronger supporting capacity, to effectively support and ramify in turn to soil.

The utility model relates to the field of geological disaster monitoring, in particular to a landslide displacement real-time monitoring device. The utility model provides a landslide displacement real-time monitoring device which can monitor and shoot the water and soil loss condition of a slope in real time and monitor the water level and slope soil displacement in real time at the same time, so that the landslide condition can be known timely and comprehensively, and the monitoring comprehensiveness and reliability are improved. A landslide displacement real-time monitoring device comprises a base, a machine body and the like, and the upper side of the base is connected with the machine body. The ground surface position change is monitored through the gnss displacement monitor, then the rotating rod is rotated and fixed, the soil change and the water level are monitored through the displacement sensor and the liquid level sensor, and the water and soil loss condition is monitored and shot through the camera. Therefore, the water level and the slope soil displacement can be monitored in real time while the water and soil loss condition of the slope can be monitored and shot in real time, the landslide condition can be known timely and comprehensively, and the monitoring comprehensiveness and reliability are improved.

The invention relates to an automatic control system and a control method for ground pressure of a rake lip of a trailing suction hopper dredger. The system comprises a rake lip hydraulic cylinder pressure sensor, a data acquisition and processing unit and upper computer monitoring software, the rake lip hydraulic cylinder pressure sensor is used for acquiring the pressure value of hydraulic oil in a working cavity of the rake lip hydraulic cylinder in real time; the data collecting and processing unit is used for collecting sensor data, calculating the actual value of the current rake lip ground pressure in real time, judging the deviation between the actual value and the expected value of the current rake lip ground pressure, generating a rake lip hydraulic cylinder pressure control output signal if the deviation exceeds a preset tolerance threshold value, and sending the rake lip hydraulic cylinder pressure control output signal to a rake lip hydraulic cylinder executing mechanism. Dynamically adjusting the ground pressure of the rake lip; the system is also used for receiving parameter setting of the upper computer monitoring software. The pressure of the harrow lip to the ground can be automatically adjusted according to different areas and different digging depth soil change conditions, the digging fitting degree of the harrow lip is guaranteed, the digging effect of the harrow lip is also guaranteed, and the construction efficiency and operation stability of a ship are effectively improved.