170 results about "Soil moisture sensor" patented technology

The invention relates to the technical field of intelligent agriculture and ecological internet of things, in particular to an ecological irrigation decision dynamic optimization method and related equipment. Comprising the following steps: acquiring multi-source environment data, acquiring a soil profile humidity gradient in real time through a soil humidity sensor array, acquiring future rainfall probability distribution, a temperature change rate and a wind speed predicted value in combination with a weather forecast interface, and synchronously accessing a geographic information system to acquire terrain elevation and crop distribution data. The three technical bottlenecks of model dimension collapse, parameter estimation instability and optimization response lag in a traditional irrigation decision-making system are systematically solved by constructing a space-time coupling analysis framework and a closed-loop optimization mechanism of multi-source heterogeneous data.

The invention discloses a strip-shaped compound planting mode water and fertilizer zoning management method and system, and relates to the technical field of modern agriculture, and the method comprises the following steps: installing a sensor network in a field, collecting data through a soil moisture sensor, an intelligent water meter and an unmanned aerial vehicle multispectral camera, threshold values are set according to the water demand and the fertilizer demand in the crop growth cycle to judge fertigation, crop demands are predicted by applying multiple linear regression and a random forest algorithm, a fertigation plan is optimized, the growth trend is analyzed, the yield potential is evaluated, the influence of the irrigation level is researched, and an irrigation strategy adjustment suggestion is provided. The system collects field data through an integrated sensor network, accurately sets an irrigation and fertilization threshold value, predicts crop demands by using an advanced algorithm, optimizes a water and fertilizer management plan, effectively analyzes a growth trend and evaluates yield potential, provides a scientific basis for irrigation strategy adjustment, and significantly improves modern agricultural production efficiency and resource utilization efficiency.

The invention discloses an agricultural irrigation area water resource intelligent management system and method, and relates to the field of intelligent management, and the method comprises the steps: building a correlation model of a crop growth stage and a basic irrigation threshold value through real-time collection of original weather station data, future 24-hour weather forecast, crop types, planting dates and other multi-dimensional data; and in combination with soil humidity sensor data and a channel pump station state, the basic irrigation starting threshold is dynamically adjusted by using an FAO formula or a deep learning algorithm to form a dynamic irrigation decision threshold. And then multi-source data is input into an irrigation decision module, an irrigation starting and stopping instruction is generated by judging the relation between the irrigation state and the soil humidity threshold value, and closed-loop management is achieved. Thus, the limitation of traditional irrigation static threshold management is broken through, and through meteorological data dynamic adaptation and multi-source data fusion decision making, on the premise of guaranteeing crop growth water demand, the water resource allocation efficiency is optimized, and the intelligent management level of an agricultural irrigation area is improved.

The invention discloses a traditional Chinese medicinal material standard base intelligent irrigation and fertilization method based on the Internet of Things and a decision making system, and relates to the technical field of agricultural informatization. Through multi-source data acquisition and intelligent analysis, the limitation of an existing irrigation and fertilization method is solved, accurate decision making and resource optimization are realized, comprehensive data are acquired by utilizing a soil moisture content sensor, a meteorological station and plant image acquisition equipment, and by combining principal component analysis, a long-short-term memory neural network and a block chain technology, the intelligent irrigation and fertilization method is realized. According to the system, the water and fertilizer requirements are accurately predicted, an irrigation and fertilization scheme is optimized, data credibility and traceability are ensured, meanwhile, real-time control and collaborative operation of equipment are achieved through edge calculation and a wireless sensor network, the resource utilization efficiency is improved, the production cost is reduced, and scientificity and sustainability of traditional Chinese medicine planting are remarkably improved.

The invention belongs to the technical field of intelligent irrigation, and discloses a garden environment monitoring and management system based on the Internet of Things technology, and the system comprises a soil moisture monitoring module which obtains the moisture content of a root layer of garden vegetation through an implantable TDR soil moisture sensor array; the carbon flux sensing module is used for respectively monitoring carbon dioxide flux and vegetation photosynthetic efficiency through a vortex covariance tower and a chlorophyll luminoscope and acquiring carbon flux data and photosynthetic efficiency parameters; obtaining net carbon exchange capacity based on the carbon flux data and the photosynthetic efficiency parameters; the data coupling module is used for performing coupling analysis on the moisture content of the root system layer and the net carbon exchange capacity, establishing a moisture-carbon fixed correlation model, calculating a carbon sink efficiency index and judging whether an initial irrigation demand signal is generated or not; the utilization rate of water resources is increased; and meanwhile, ecological benefits are considered.

According to the technical scheme, the water-saving irrigation device for agricultural technology popularization is characterized by comprising a water storage tank, a water supply hole is formed in one side of the water storage tank, a water supply pipe is connected to the interior of the water supply hole, a flow dividing box is connected to one side of the water supply pipe, a water pump is connected to the interior of the water storage tank, and one end of the water pump is connected with the water supply pipe; the plurality of mounting holes are formed in one side of the shunting box; the irrigation assembly is arranged on one side of the flow dividing box and used for irrigating farmland, when irrigation water is conveyed to the water seepage pipe through the water supply pipe, micropores are formed in the outer wall of a pipeline of the water seepage pipe, stable water irrigation can be achieved, and pressure control can be conducted on the conveyed irrigation water through a pressure adjusting valve; waste caused by too fast water flow or uneven irrigation caused by insufficient water flow is avoided, soil humidity is monitored in real time through a soil humidity sensor, the irrigation amount of the water seepage pipes at different positions is controlled in cooperation with a first electromagnetic valve, utilization of irrigation water is optimized, the water saving effect is improved, and waste of water resources is reduced.

The invention relates to the technical field of landscaping, in particular to a landscaping intelligent irrigation system and a control method thereof.The landscaping intelligent irrigation system comprises a sensor module, a control module and an execution module, the sensor module comprises a soil humidity sensor and a meteorological sensor, and the control module comprises a microprocessor; the microprocessor is in communication connection with the soil humidity sensor and the meteorological sensor, the execution module comprises an electromagnetic valve group for controlling the on-off of an irrigation pipeline in a partitioned manner, an electromagnetic valve is electrically connected with the microprocessor, a spray head is mounted on the pipeline, and the microprocessor is in communication connection with a cloud platform which can be remotely controlled by a user through a mobile phone APP or a Web end. The irrigation system has the technical effects that the problem of resource waste of a traditional irrigation system can be solved, and the irrigation efficiency is improved.

The invention discloses a multi-mode soil moisture content sensor layout method, and relates to the technical field of sensor network layout and optimization. The problem that soil moisture content monitoring quality and low operation cost cannot be considered at the same time in a traditional laying method is solved. According to the method, a soil moisture status state estimation vector and an error covariance estimation vector are obtained and corrected by using a constructed measurement and calculation model and a constructed measurement model, and an objective function is constructed by using the corrected error covariance estimation vector and the soil moisture status state estimation vector to minimize estimation error, state estimation deviation and sensor operation cost. And according to a set constraint condition, enabling the target function to be minimum for constraint, and carrying out optimization solution on the target function by utilizing an optimization algorithm to obtain an optimal layout position of each sensor. The method is mainly used for carrying out optimized layout design on the sensors in the farmland.

The invention provides an anomaly detection method and device for soil moisture monitoring data based on a time series, and the method comprises the steps: obtaining soil moisture values of a plurality of time steps collected by a soil moisture sensor; performing moisture change detection based on the soil moisture values of the plurality of time steps, and determining a soil moisture change result of a target time step; determining the response minimum rainfall of the soil moisture sensor based on the measurement depth and the measurement precision of the soil moisture sensor; based on the soil moisture change result and the response minimum rainfall, a data detection result of a first soil moisture value of the target time step is determined, and the data detection result is used for representing whether the soil moisture change result of the target time step is caused by rainfall or not; according to the invention, the reliability of soil moisture monitoring data can be improved.

Various embodiments for an autonomous forest fire detection, alerting and mitigation device includes a subterranean data gatherer having a plurality of soil temperature and soil moisture sensors installed at a plurality of different depths in a soil. A data assimilator that has a configured threshold change depending on the plurality of different depths in the soil of the plurality of soil temperature and soil moisture sensors, the soil properties, the duration of the fire, and a time delay duration. The data assimilator receives a data transmission packet from the subterranean data gatherer and detects a fire and generates a fire alert when the plurality of soil temperature and soil moisture sensors all breach the configured threshold change. A smart water pump is also started to slow the fire or completely stop it. The subterranean data gatherer is installed at the plurality of different depths in the soil.

The invention relates to the technical field of chemical or physical analysis, in particular to a soil moisture sensor arrangement method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining corresponding multi-source geographic data and a target soil moisture dense observation area based on the arrangement task of a soil moisture sensor, a gateway area with stable signals is screened out in a target area, a plurality of relay points which can stably communicate and are suitable for installation are screened out, then corresponding relay paths are planned, and the installation path of the robot dog is generated by using the relay paths so as to control the robot dog to complete a layout task. And thus, detection data returned by the target soil moisture dense observation area are obtained. Therefore, the technical problems that in a mountainous area environment, the arrangement condition of the soil moisture sensor is harsh, the subjectivity of manual arrangement is high, the continuity and reliability of data return are difficult to guarantee, accurate and high-timeliness data are difficult to obtain, and the soil moisture monitoring efficiency is low in the related technology are solved.

The cultivation method comprises the steps that the macadamia nut forest with the tree age larger than or equal to 5 years is selected, PVC permeable pipes with water seepage holes are laid at the bottoms of ditches, and the ditches are covered with gravel layers; ridging is conducted along the dead furrows, and a lower layer of fallen leaf crushed matter mixed decomposed farmyard manure, a middle layer of acid red soil and an upper layer of special konjak matrix containing functional microorganisms are constructed on ridge bodies in a layered mode; performing cold shock treatment on the seed taros, soaking the seed taros in chitosan-nano-selenium composite liquid, and coating the seed taros with nut oleoresin; the height of the sunshade net is dynamically regulated and controlled through an intelligent system to maintain the shading rate to be 60%-70%, and automatic drip irrigation is carried out based on a soil humidity sensor; harvesting and retaining rhizomes after konjak seedlings fall, removing konjak plants before nut fruit drop, and collecting dropped fruits by utilizing dead furrows. According to the method, the problems of water and light accurate regulation and control, root competition and harvesting conflicts are solved, waste recycling is achieved, the soft rot rate is decreased, the fruit drop loss rate is greatly decreased, and the comprehensive output value is remarkably increased.

The invention discloses a water and soil conservation monitoring system and method, and belongs to the field of water and soil conservation monitoring, and the method comprises the following steps: determining a monitoring target and a measured core variable combination, and formulating a specific measurement technical scheme based on a multi-parameter measurement target; the method comprises the following steps: selecting monitoring points in a set monitoring range, evaluating the importance and potential interference degree of each point to a multivariable measurement result in combination with terrain, meteorological factors and human activity intensity, grading according to the importance and potential interference degree, and configuring different numbers of standby monitoring positions for different grades of point positions; rainfall, sediment and soil moisture sensors are deployed at selected points, initial data of all variables in a normal environment are collected, and initial reference values of all measurement channels are established. Through the combination of the steps, monitoring blindness and resource waste are avoided, the flexibility of a monitoring network is improved, data continuity and accuracy are guaranteed, the exception handling efficiency is improved, and efficient and accurate water and soil conservation monitoring is achieved.

An intelligent irrigation control system that includes: • a plurality of soil moisture sensors (101) configured to monitor the volumetric water content of the soil in real time; • a camera module (102) configured to capture periodic images of the ground surface; • a microcontroller (103) operatively connected to the soil moisture sensors and the camera module, the microcontroller being programmed to: (i) receive and analyze sensor data; (ii) apply image processing algorithms to detect visual indicators of soil dryness; (iii) compare the sensor data with the results of the image analysis; and (iv) activate a relay module (104) to control a water pump for irrigation only when both the sensor data and the image analysis confirm soil dryness; and • a wireless communications module (105) configured to transmit data to a remote interface (106) for user access and control; wherein the system performs automated, image-guided irrigation to optimize water use and crop health.

The invention provides a soil moisture sensor data quality inspection and interpolation method, which comprises the following steps: screening multivariable soil moisture time sequence data based on a preset core physical feature list, carrying out abnormal value detection through physical rule constraint and an isolation forest algorithm, and carrying out data labeling by creating a complete time axis; generating a training sample from the preprocessed data through sliding window sampling, and performing deep feature learning by using a denoising network based on a space-time diffusion probability model; performing interpolation on missing values in the original data by using the trained space-time diffusion probability model, generating a noisy data sample through a forward noise adding process, and performing conditional data interpolation based on a known observation value and a mask matrix in a reverse denoising process to generate a preliminary interpolation result; and performing post-processing correction on the preliminary interpolation result, wherein the post-processing correction comprises clamping correction based on a monthly historical range and correction based on interlayer physical logic.

A system of integrated water and fertilizer planting and industrial collaboration for a terraced field in an ecologically fragile area includes a hardware part, a software part, a water balance and osmosis model, a water and fertilizer optimization and adjustment model, and an industry collaboration model. The hardware part includes a terraced field intelligent irrigation equipment, soil moisture sensors, a meteorological station, a fertilizer application device, an underground water storage system, and a solar power supply. The system introduces the water balance and osmosis model to effectively manage water resources in terraced field. By integrating data from the soil sensors and meteorological station, it automatically optimizes the methods of irrigation and fertilization, preventing water waste and soil erosion. The water and fertilizer optimization and adjustment model can dynamically adjust the application of nitrogen, potassium, and phosphorus fertilizers based on real-time environmental data and crop requirements.

The utility model discloses an on-site online calibration system for a soil moisture sensor. The on-site online calibration system comprises an outer barrel, an inner barrel, a weighing platform, an edge measurement and control terminal, a to-be-calibrated soil moisture sensor, a power supply system, a drainage system and a water replenishing system, the soil moisture in the inner barrel is actively regulated and controlled through the edge control terminal, weighing data and data of the to-be-calibrated soil moisture sensor are synchronously recorded, the actual soil moisture is calculated and compared with the soil moisture measured by the to-be-calibrated soil moisture sensor, and automatic calibration of the to-be-calibrated soil moisture sensor is achieved. The calibration process of the soil moisture sensor is fully automatic, and the original state of soil is kept.

The invention provides a high slope monitoring data wireless transmission module, which relates to the field of high slope monitoring and maintenance and comprises a placement plate and a vertical plate frame. A soil humidity sensor is installed in a through hole of the placement plate, a machine box is welded to the upper side face of the placement plate, the upper side face of the machine box is connected with a machine cover shell through bolts, a photovoltaic controller is installed on the inner side face of the machine cover shell, a wireless transceiver is installed at the top end of the interior of the machine cover shell, and a solar power generation panel is installed on the outer side face of the machine cover shell; a BDS positioner is installed on the front side face of the vertical plate frame, and a Beidou positioning system is arranged in the BDS positioner. Through arrangement of a BDS positioner, a soil humidity sensor, a wireless transceiver and a solar power generation panel, 24-hour real-time remote monitoring of the position of a high slope geographic structure is realized, and continuity of displacement data of the high slope structure is ensured. The problems that manpower is consumed when a field measurement mode is adopted in traditional high slope monitoring, and a high slope monitoring data chain is discontinuous due to the fact that a monitoring blank period exists in regular monitoring are solved.

The invention discloses a landscaping water-saving device, and relates to the technical field of landscaping water saving.The landscaping water-saving device comprises a cart, wheels are fixedly installed at the bottom of the cart, a fixing frame is fixedly installed at the top of the cart, and a water storage tank is fixedly installed at the top of the cart; according to the landscaping water-saving device, a soil humidity sensor moves until the soil humidity sensor is inserted into soil to monitor soil humidity, and meanwhile, the soil humidity sensor moves to drive a limiting plate to move, so that the soil humidity is monitored, and the water-saving effect is achieved. The limiting plates move to drive the limiting blocks to move until the wheels are clamped and limited, so that the stability and the reliability of the equipment in the running process are improved, the equipment is prevented from being caused by external factors, the equipment is prevented from being displaced or shaken due to external factors such as wind blowing and ground vibration, and the accuracy of monitoring data and the smooth proceeding of irrigation operation are ensured.

The present invention discloses an intelligent cultivation room for Tremella fuciformis (tremella) cultivation. The room comprises a control module, a display module, multiple monitoring module groups, and multiple cultivation equipment, each of which is communicatively connected to the control module. The control module is communicatively connected to a cloud platform. Each monitoring module group includes a temperature sensor, an upper air humidity sensor, a middle air humidity sensor, a soil moisture sensor, an illumination sensor, an image acquisition module, and a carbon dioxide sensor. The cultivation equipment includes a temperature control unit, a lighting unit, a ventilation unit, a spray unit, and an irrigation unit. The technical solution proposed in the present invention aims to achieve intelligent control during the Tremella fuciformis cultivation process.

The invention relates to the technical field of agricultural information, and particularly discloses an intelligent soil moisture content analysis system based on an Internet of Things terminal. The system comprises an Internet of Things terminal network formed by heterogeneous nodes integrating multiple types of soil moisture sensors, an edge computing gateway and a cloud analysis platform. Long-term operation of nodes is guaranteed through an energy collection and management module, an edge gateway performs data cleaning and preliminary interpolation, a cloud platform fuses discrete profile point data with continuous surface trend surface data by using a space-time collaborative Kriging interpolation engine, and a high-precision three-dimensional continuous soil moisture content volume data model is constructed. And moisture migration simulation and irrigation decision are supported, and accurate, low-cost and sustainable monitoring and analysis of three-dimensional distribution of the farmland soil moisture content are realized.

The application discloses a kind of FDR soil moisture sensor calibration soil sample sampling device, belong to soil sampling device technical field, including support, steel cylinder with cutting edge and the calibration container being arranged in the side of steel cylinder away from support, the outer wall of steel cylinder is equipped with scale, fixed clamping belt is equipped between steel cylinder and calibration container, the side of steel cylinder away from calibration container is equipped with chuck, screw hole that is adapted with screw rod is opened in the chuck, handle is fixed on the screw rod;The end of the screw rod away from handle extends to steel cylinder, bottom plate piston is equipped in steel cylinder, inner cylinder is fixed in the bottom plate piston, the side of steel cylinder away from chuck is equipped with baffle, through-hole is structured in the baffle;Acrylic top plate and acrylic bottom plate are fixed in the calibration container.The FDR soil moisture sensor calibration soil sample sampling device, it is convenient to sample, and accuracy is improved.

The invention relates to an intelligent numerical control flap valve type valve port which comprises a flap valve body, a flap valve round valve port, a round flap valve cover, an ultrasonic metering probe, a liquid level probe, a push rod protection support, a waterproof electric push rod, a remote communication actuator and a soil humidity sensor. A waterproof electric push rod is installed in the push rod protection support and is in control connection with the circular flap valve cover, a set of ultrasonic metering probes are installed on the two corresponding sides of the flap valve body, a liquid level probe is installed on the side, close to the root, of the outer portion of the push rod protection support, and a remote communication actuator is further designed on the outer side of the push rod protection support. The metering intelligent numerical control flap valve type valve port has the advantages that irrigation is precisely controlled by monitoring the water content of farmland soil; the three-dimensional management and control integrated functions of metering management and control, water level measurement and control, soil humidity monitoring, visual viewing and the like are realized; great use value and market requirements are realized.

The invention belongs to the technical field of fruit tree cultivation, and particularly discloses a durian micro-spraying humidity control cultivation method which comprises the following steps: selecting a durian tree planting field, and digging planting holes; a distributed micro-spray head array is arranged around each durian tree, and the micro-spray heads are vortex atomization type micro-spray heads; installing temperature regulation and control equipment in the planting land; installing a soil moisture content sensor in the soil, and arranging a canopy temperature and humidity sensor on the canopy of the durian tree; the bottoms of the planting holes are filled with decomposed organic fertilizer, and durian seedlings are planted; regulation and control are carried out according to requirements of durian on temperature and humidity in different growth stages; the durian tree is patrolled regularly, and when the signs of leaf tip burning and dry heat burning are found, cultivation intervention is conducted in combination with temperature and humidity regulation and control. According to the micro-spraying humidity-control cultivation method for the durians, through an accurate micro-spraying system and a humidity control strategy, a suitable humidity environment is created for growth of the durians, the growth speed of the durians is increased, and the occurrence probability of scorched tips of leaves, burning caused by dry heat and runt seedlings is reduced.

An in-ground wireless moisture sensor may include one or more ultrasonic sensors in communication with a processor and a wireless communications module. The sensor may be powered by a power source, such as one or more rechargeable batteries as well as a solar panel in the cover of the sensor. Ultrasonic sensors may allow for wireless sensing of in-ground soil moisture levels at a distance farther than traditional sensors and therefore may give more accurate measurements. Methods for use and installation of the in-ground sensor, including a selectively removable cover, are described.

The utility model relates to the field of soil detection, in particular to a desert wetland soil evaporation capacity detection device. The desert wetland soil evaporation capacity detection device provided by the utility model can be used for detecting the moisture of soil in the evaporation dish while detecting the moisture of soil at different depths, is convenient to compare, improves the accuracy and reliability of detection and is convenient to use. A desert wetland soil evaporation capacity detection device comprises a placement table, insertion rods and the like, and the left and right parts of the placement table are connected with the front and rear insertion rods. Changes of soil moisture in the evaporation dish are measured at regular time through the weighing device and recorded, meanwhile, the soil moisture sensor is moved to different depths to detect and record the moisture in the soil, and then the evaporation capacity is calculated through data comparison. Therefore, moisture of soil in the evaporation pan can be detected while moisture of soil at different depths is detected, comparison is facilitated, detection accuracy and reliability are improved, and use is convenient.

The application provides an intelligent irrigation control system with state feedback function, comprising: an irrigation device and a management platform; the irrigation device comprises a soil moisture sensor, a water pump and at least one electromagnetic valve; the soil moisture sensor is used for collecting soil moisture data of target soil at a preset depth and sending the soil moisture data to the management platform; the management platform is used for acquiring the type and planting time of crops on the target soil; according to the type, planting time and current time of the crops, the current growth period of the crops is determined, and the root depth of the crops in the current growth period is determined; according to the type, current growth period, root depth, soil moisture data and pre-constructed management decision model of the crops, the water pump and the electromagnetic valve corresponding to the target soil are controlled. The application can determine the reasonable soil moisture data range of the target soil according to the current growth period of the crops, so that the irrigation is more reasonable and scientific, the water utilization rate of irrigation can be improved, and the waste of water resources can be avoided.

The application discloses a method for planting large white kidney beans and angelica based on niche complementation intercropping, and relates to the field of agricultural technology, comprising the following steps: first, according to the layout structure of crop planting, the intercropping area of large white kidney beans and angelica is divided into multiple independent management sub-areas according to the planting row area; before the start of the drip irrigation operation, for each sub-area divided, through the soil moisture sensor array arranged at different depths, the soil water content data information of the sub-area is collected in real time. Through sub-area division, multi-level soil moisture monitoring and intelligent evaluation, the application realizes fine perception and dynamic differentiated regulation of soil moisture in the planting area, breaks through the existing one-size-fits-all problem of drip irrigation, improves the water balance of the edge row and the central row, improves the consistency of the growth of the large white kidney bean and angelica groups, reduces the risk of drought and diseases, and promotes the stable improvement of yield and quality.

The invention discloses a kiwi fruit drought stress diagnosis model construction method, and relates to the field of kiwi fruit drought stress diagnosis, and the method comprises the steps: carrying out the terrain partitioning of a planting region, and obtaining a plurality of different differentiation planting sub-regions; determining the deployment density and the burying depth of a soil moisture sensor, and collecting time sequence data representing the soil moisture condition of each sub-region; collecting water physiological state time sequence data of the kiwi fruits, and constructing a physiological feature data set; based on an LSTM neural network model, outputting a kiwi fruit drought stress grade probability; and verifying a diagnosis result of the model by adopting a confusion matrix, calculating three evaluation indexes including accuracy, precision rate and recall rate, and dynamically updating and optimizing the model. The method has the advantages that the technical span of kiwi fruit drought stress from'uniform monitoring 'to'partition accurate diagnosis' is realized, real drought and disease stress are effectively distinguished, and reliable technical support is provided for intelligent agriculture.