499 results about "Soil moisture sensor" patented technology

Multi functional sensors are described. A silicon based sensor utilizes metal layers arranged as resistors around a central pair if resistors separated by a humidity sensitive polymer with one of the central resistors being a heater. This enables temperature humidity wind speed and direction to be measured. In another embodiment an array of resistors is printed onto a flexible substrate to form the basis of an array of sensors. A soil moisture sensor, which is also useful as a leaf wetness sensor, incorporates a novel self calibrating capacitive sensor structure. The flexible substrate is rolled into a stake that can be inserted in the soil so that below ground sensors measure soil moisture and above ground sensors measure temperature, light, humidity, wind speed and direction.

The invention discloses a system for predicting geologic hazard based on rainfall intensity, moisture content of slope soil and deformation. The system comprises an automatic rainfall gauge, a soil moisture sensor, an omnibearing tilt sensor, an omnibearing vision sensor, an embedded system and a monitoring center computer, wherein the automatic rainfall gauge is used for monitoring rainfall and rainfall intensity of a geologic hazard point; the soil moisture sensor is used for monitoring moisture in soil at the geologic hazard point; the omnibearing tilt sensor is used for detecting earth surface deformation and internal deformation of the geologic hazard point; the omnibearing vision sensor is used for evaluating geologic hazard scale; the embedded system is used for wirelessly transmitting video and monitoring data; and the monitoring center computer is used for predicting and forecasting the geologic hazard and comprises a communication module, a data receiving module, a rainfall and rainfall intensity-based geologic hazard prediction module, a slope displacement-time curve-based geologic hazard prediction module, a soil moisture, rainfall and rainfall intensity-based geologichazard prediction module and a soil moisture content and slope deformation-based geologic hazard prediction module. The system has the advantages of complete monitoring means, accurate prediction andforecast, high intelligence and on-line real time.

A Wireless Irrigation and Trespasser Deterrent Control System used for controlling a remote irrigation system comprising a plurality of sprinklers connected by water pipes to one or more electric zone valves having wireless valve controllers. Included is a wireless system controller that communicates with the remote wireless valve controllers when a signal is received from a sensor such as a motion detector in order to turn the sprinklers on or off. Other sensors are possible such as soil moisture sensors and rain sensors. A handheld remote controller is also included.

An irrigation controller has a control panel including a display and a plurality of user inputs. A processor is operatively connected to the control panel and to a memory. A plurality of switches are operatively connected to the processor for turning a power signal ON and OFF to a plurality of valves that deliver water to a plurality of sprinklers in different zones. Programming is stored in the memory for implementing a seasonal adjustment feature that is independently operable with a plurality of individual watering programs to selectively energize the valves. The programming calculates a soil moisture requirement value for each program using a signal from at least one soil moisture sensor that is associated with a zone that is assigned to that watering program, and automatically modifies the watering program assigned to that zone through the seasonal adjust feature based on the soil moisture requirement value.

A soil moisture based irrigation system includes a stand alone irrigation controller with a seasonal adjust feature and a stand alone weather station including at least one soil moisture sensor. The soil moisture based irrigation system further includes a stand alone soil moisture control unit operatively connected to the irrigation controller and the soil moisture sensor. The soil moisture control unit includes programming configured to calculate an estimated soil moisture requirement value using a signal from the soil moisture sensor and to automatically modify a watering schedule of the irrigation controller through the seasonal adjust feature based on the estimated soil moisture requirement value to thereby conserve water while maintaining plant health.

An irrigation system includes at least one environmental sensor, such as a solar radiation sensor, that is installed on an irrigation site, and a soil moisture sensor that is also installed on the irrigation site. Programming allows an estimated ET value to be calculated based at least in part on the output signal of the environmental sensor. A pre-programmed watering schedule is automatically modified based on the estimated ET value to thereby conserve water while maintaining the health of plants on the irrigation site. The system automatically inhibits irrigation when an output signal of the soil moisture sensor indicates an amount of moisture in the soil is above a predetermined threshold.

A sensor and method for sensing moisture content of a medium such as soil is disclosed. In an embodiment, the sensor includes a sensing circuit, a processing module, a register, and a communications interface for communicatively coupling the sensor to an external communications device. In use, the sensing circuit generates a sensed signal having a signal parameter value attributable to the moisture content of the medium. The processing module processes the signal parameter value to provide, at an output, a scaled data value. The register stores a sensor identifier for the sensor and the communications interface is capable of communicating the scaled data value and the sensor identifier to the external device. An irrigation control system is also disclosed.

The invention provides a decision-making method for soil moisture monitoring and intelligent irrigation of the root zone of crop. The method comprises three steps of (1) acquiring soil moisture data by using soil moisture sensors based on the theory of time domain reflection or frequency domain reflection; (2) establishing a soil moisture mathematical model by adopting the numerical simulation method based on a dynamic data driving application system to correct the soil moisture value; and (3) comparing the soil moisture value, obtained by a hydrodynamic model, of the root zone of crop with the set irrigation threshold value of crop, and making the irrigation data decision. According to the method, simulated forecast on soil moisture is made by taking the dynamic data driving application system as a technological paradigm, various updated actually measured meteorological data as basis, and actually measured initial soil moisture and real-time surface soil moisture state, growing state of crop and the like as base; therefore, the dynamic property and the real-time property of the soil moisture forecast are improved, which has great significance for making a water plan.

A mobile turf instrument apparatus has a wheeled frame that may be propelled over the ground by a motive device, such as by a separate vehicle or by its own engine and drive train. A driven arm is carried on the frame and revolves in circles to periodically insert the probe(s) of a probe assembly into the ground during motion of the frame. The drive to the arm is momentarily disengaged when the probe(s) of the probe assembly are inserted into the ground. The probe assembly comprises two parts that rock relative to one another. Two soil measurement devices are connected to the probe assembly. A soil moisture sensor is coupled to the probe assembly for measuring soil moisture when the probe(s) are inserted into the ground. A load cell is responsive to the amount of rocking of the two parts of the probe assembly to measure soil compaction.

The invention discloses a greenhouse environment intelligent control and management system based on information acquisition. The system comprises various types of sensors arranged in a greenhouse, a memory, a display, a sound and light alarm apparatus and a communication device. The various types of sensors include air temperature sensors, air humidity sensors, illuminance sensors, carbon dioxide sensors, soil moisture sensors and soil temperature sensors, a sub-control single-chip microcomputer is arranged for each type of sensors, all the sub-control single-chip microcomputers are connected with a master control single-chip microcomputer, window shades and / or lighting devices are arranged on the top and the side faces of the greenhouse, an indoor air circulating device, an outdoor air circulating device, a spray irrigation device, a heating device and a cooling device are arranged in the greenhouse, and the window shades are driven by motors. Through the system, various types of environmental data of the greenhouse can be monitored, and environmental parameters of the greenhouse can be automatically adjusted accurately and rapidly according to information acquired by all the sensors.

A method and system for monitoring the dynamic response of soil moisture and setting a threshold in relation to the field capacity of a soil area is disclosed herein. By measuring the dynamic response of soil moisture under wet soil conditions, one can determine a practical field capacity for the soil, in-situ, based solely on the soil moisture sensor output. Essentially, by looking at how the soil moisture level varies with time one can determine the field capacity.

The invention discloses a debris flow disaster early monitoring system based on the internet of things. The debris flow disaster early monitoring system comprises an internet of things cloud server and a weather center connected with the cloud server through communication. The cloud server is connected with a wireless sensor network through communication. The wireless senor network comprises network nodes, a soil moisture sensor, a soil inner pressure sensor and a locating device. Data detected by the soil moisture sensor, data detected by the soil inner pressure sensor and data detected by the locating device are respectively transmitted to the cloud server though the network nodes. The wireless sensor network is laid in the zone with the requirements for debris flow disaster monitoring, soil is detected through the soil moisture sensor and the soil inner pressure sensor in the wireless sensor network, movement displacement of soil is detected by the locating device, weather data, collected by the weather center, of the surroundings are combined, calculation and simulation of the cloud processor are conducted, therefore, the purposes that a debris flow disaster is monitored in real time and the accuracy is high are achieved.

The invention discloses an irrigation decision method and an irrigation system for substrate culture crops. The method comprises the steps as follows: 1, using calibrated dielectric-type soil moisture sensors to collect substrate moisture data; 2, adopting a dynamic data-driven based numerical simulation method to establish a substrate moisture migration model and a crop root system distribution model; 3, comparing water content of a substrate wet body with a pre-arranged water content of a crop irrigation target, performing irrigation data decision making via the matching degree of a substrate wet body and a crop root zone obtained from the models, and putting forward an irrigation decision of substrate culture crops according to the method. The method and the system provided by the invention can improve dynamic nature and real-time performance of substrate moisture forecast, have the characteristics of water saving and energy saving, have important significance for making a water plan, and is convenient in large-scale popularization and application.

An irrigation system includes at least one environmental sensor, such as a solar radiation sensor that is installed on an irrigation site, and a soil moisture sensor that is also installed on the irrigation site. Programming allows an estimated ET value to be calculated based at least in part on the output signal of the environmental sensor. A pre-programmed watering schedule is automatically modified based on the estimated ET value to thereby conserve water while maintaining the health of plants on the irrigation site. The system automatically inhibits irrigation when an output signal of the soil moisture sensor indicates an amount of moisture in the soil is above a predetermined threshold.

The invention provides a device for determining the permeation coefficient of unsaturated soil. The device is characterized in that the upper end of a stainless steel tank is provided with an upper reverse filter apparatus, and the lower end of the stainless steel tank is provided with a lower reverse filter apparatus; the longer surface of the stainless steel tank is provided with an open end surface, and the open end surface is provided with toughened glass for closing the open end surface; and a plurality of soil water sensors and soil tension meters are respectively arranged on at least one end surface of the stainless steel tank from top to bottom. Compared with present devices and the prior art, the device and a method for determining the permeation coefficient of the unsaturated soil provided by the invention have the following beneficial effects: the permeation coefficient of the unsaturated soil can be directly obtained through simple one-dimensional infiltration tests and through utilizing an iterative method, the device is simple to manufacture, the measure precision is high, the unsaturated permeation coefficient of a sample can be measured, and the soil-water characteristic curve of the sample can also be measured.

The invention provides a best water-saving irrigation method by wireless soil moisture monitoring. In the invention, a central control unit is arranged, and a wireless monitoring terminal and a wireless execution terminal are arranged in an irrigation field to perform network communication with the central control unit. The wireless monitoring terminal is provided with a soil moisture sensor and a soil nutrition sensor, wherein the sensors transmit data of current soil humidity and nutrition to the central control unit; the central control unit transmits a water-supplying and nutrition-adding command to the wireless execution terminal according to the current soil condition; and the wireless execution terminal determines the water supply amount and supplies water according to the command. The whole process is performed automatically, so the method saves mass labor force, especially saving mass water resources.

The invention discloses an agricultural irrigation system based on the internet of things. A control terminal module is used for remotely control an information collection module and an irrigation machine, wherein the control terminal module is connected with the information collection module through a communication module, and the information collection module is used for collecting soil and air information; the information collection module comprises a temperature sensor, a soil moisture sensor, an illumination intensity sensor and an air humidity sensor; the information collection module is connected with an information processing module; the control terminal module is connected with the irrigation machine through the communication module. The agricultural irrigation system based on the internet of things can achieve startup and shutdown of the irrigation machine, remote wireless startup and shutdown of the irrigation machine and information management of the irrigation machine according to the requirement of a farmer and a site; the system is distributed at each irrigation equipment point of a monitored agricultural irrigation area, achieves concentrated remote management dispatch of agricultural irrigation, saves the farming time of the farmer and improves the agricultural production efficiency.

The invention discloses an intelligent flower watering system controlled by mobile phone Bluetooth or a PC and a control method of the intelligent flower watering system. The intelligent flower watering system comprises a signal collecting processing module. The input end of the signal collecting processing module is connected with a soil moisture sensor and a parameter control module. The output end of the signal collecting processing module is connected with a watering module. A communication channel of the signal collecting processing module is connected with a terminal control module. The soil moisture sensor is used for detecting a flower and plant soil moisture state. The parameter control module is used for setting a preset watering threshold value. The signal collecting processing module is used for comparing the received flower and plant soil moisture with a water threshold value preset by a potentiometer, and after interaction of the control terminal module and a terminal device, instruction control over turning on or off of watering module is carried out. The moisture of soil in a flowerpot can be obtained through the soil moisture sensor, the watering module can turn on or off a water pump by comparing of the soil moisture and the watering threshold value, and accordingly the state of flowers and plants can be monitored in real time.

A method and system for monitoring the dynamic response of soil moisture and setting a threshold in relation to the field capacity of a soil area is disclosed herein. By measuring the dynamic response of soil moisture under wet soil conditions, one can determine a practical field capacity for the soil, in-situ, based solely on the soil moisture sensor output. Essentially, by looking at how the soil moisture level varies with time one can determine the field capacity.

The invention discloses a soil moisture sensor calibration device and method based on a time domain transmission technology(TDT). A sensor probe mainly consists of a built-in circuit board, a coaxial cable, a copper line and epoxy resin. The calibration device mainly consists of a multimeter, a battery, an organic glass column, an earth pillar, a TDT sensor, an electronic balance, a Marriott bottle (Markov bottle) and an artificial climatic box. According to the calibration method disclosed by the invention, different soil textures can be calibrated to obtain a calibration curve and a relevant parameter as well as obtain a temperature calibration curve so as to better realize temperature compensation. The parameter obtained with the calibration method disclosed by the invention has an important meaning on TDT soil moisture sensor performance evaluation, subsequent perfection and development and practical application.

The invention discloses a multipoint soil moisture sensor and a method utilizing the same to measure soil moisture. The sensor comprises a plurality of sensor nodes, a node selecting module, a communication module and a controller, wherein the sensor nodes are used for measuring water moisture of different positions of soil, the node selecting module which is optionally connected with the sensor nodes is used for switching on and off of the sensor nodes, the communication module is used for waking up the controller to select the sensor nodes according to commands of users and then feeding measured data of the sensor nodes back to the users, the controller which is connected with the node selecting module and the communication module is used for acquiring and processing frequency and controlling communication between the communication module and the users.

The invention relates to an agricultural greenhouse wireless monitoring node which comprises a low-power-consumption single-chip microcomputer, a temperature and humidity sensor, a soil temperature sensor, a soil moisture sensor, an oxygen detecting part, a sunlight irradiation sensor, a relay, a ZigBee radio frequency transparent transmission module, a power supply part and a directive antenna. According to the other technical scheme, an agricultural greenhouse data monitoring and controlling method of the agricultural greenhouse wireless monitoring node is provided. The node capable of being used for agricultural greenhouse wireless remote monitoring is provided. The node can provide a new management approach for agricultural greenhouse planting. According to the node, common planting parameters of a greenhouse can be collected, and a means capable of remotely controlling greenhouse planting equipment is provided. A solar power supply and directive antenna transmission enhancement mode is adopted by the node, and the node can be arranged more flexibly. The node is simple in structure, low in cost, reliable in work and beneficial to being popularized in the greenhouse agricultural planting field of our country.

In one embodiment, the present invention is directed to a soil moisture sensor for interrupting an irrigation schedule of an irrigation controller. The moisture sensor comprises a relatively flat body with two lower electrodes and two lower anchoring barbs. A receiver receives moisture readings from the sensor and compares moisture data to a predetermined moisture interrupt value or limit, over which irrigation is interrupted.

The invention provides an intelligent irrigation management system, comprising an application management platform, a cloud data center, a wireless transmission platform and an intelligent sensing platform; the application management platform comprises an intelligent terminal and irrigation management software; the intelligent sensing platform comprises a data acquisition controller, a LoRa transmission module, a soil moisture sensor, a soil temperature sensor, a water level sensor, a meteorological environment sensor, a water pump and an electromagnetic valve; the cloud data center comprises acloud server; the cloud data center receives the information, collected by the intelligent sensing platform, by means of the wireless transmission platform, generates crop water demand forecast and irrigation forecast according to the collected information and a preset irrigation water demand model, and transmits the generated crop water demand forecast and irrigation forecast to the irrigation management software; the irrigation management software generates a corresponding irrigation strategy. The intelligent irrigation management system provided by the invention can avoid the problems in the prior art, and can set different irrigation strategies according to the different requirements of the crops for watering, thus realizing personalized watering.

A soil moisture sensor includes a capacitive probe configured to be inserted into soil, a series RLC circuit electrically coupled to the capacitive probe, a microcontroller configured to determine the capacitance value of the soil and determine the moisture content of the soil from the capacitance value of the soil.

The invention discloses a device for measuring soil water movement and a soil structure. A water supply part comprises a water supply tank, a plug, a valve and a Mahalanobis bottle. The water tank is communicated with the Mahalanobis bottle through a pipeline. The top of the Mahalanobis bottle is provided with a first through hole. The plug is arranged at the position of the first through hole. The valve is arranged at the lower part of the Mahalanobis bottle. A testing soil column comprises an upper cover and a body. The top part of the upper cover is provided with a second through hole. Thesecond through hole is connected with the valve through a pipeline. A glass screen is arranged inside the body. The lower part of the glass screen is provided with filter paper. The lower part of thebody is provided with a water outlet. The side wall of the body is provided with a third through hole. A soil moisture sensor is arranged at the position of the third through hole. The soil moisture sensor is connected to an acquisition device through a lead wire. A data acquisition part comprises the acquisition device, an X-ray machine and a computer. Output ends of the acquisition device and the X-ray machine are connected to an input port of the computer. The invention also discloses a method for measuring the soil water movement and the soil structure.

A capacitive soil moisture sensor that is easy to install, does not require complex calibration, can sense moisture at a particular depth, can accommodate soils of different composition, does not alter soil densities, provides fast response to changes in moisture and provides stable long term use. The sensor comprising of a body (10) onto which is attached a plurality of first electrode (20) and a plurality of second electrode (30). A plurality of protective layer (50) of low dielectric constant material is applied over the electrodes and against the body (10) to provide a physical barrier to prevent a conduction path from the first electrode (20) to the second electrode (30) and to provide protection against physical damage. The first and second electrodes (20), (30), once inserted into the soil, forms a capacitor with the soil as the dielectric. A change in soil moisture causes the capacitance of the sensor to change.

The invention relates to a true root mean square value detection-based soil moisture sensor, which comprises a power supply filter circuit, an active crystal oscillator, a Schmidt trigger, a signal attenuator, a probe and a true root mean square value detector. The Schmidt trigger shapes a high-frequency sine wave or square wave signal output by the active crystal oscillator into a standard waveform square wave signal, the amplitude of the standard waveform square wave signal is reduced by the signal attenuator, a resistor-capacitor (RC) circuit consisting of the signal attenuator and the probe is charged and discharged periodically, a periodic charging and discharging curve waveform is obtained on the probe, and the true root mean square value detector converts a waveform signal on the probe into equivalent direct current voltage serving as a sensor output signal. When soil moisture is different, the equivalent capacitance of the probe is different, the charging and discharging waveforms are different, and the final output signals are different, so that the soil moisture is measured according to the principle. The soil moisture sensor has the characteristics of simple structure, small volume, low power consumption, low cost, high soil adaptability, simple input / output interface and the like, is easy to apply and facilitates the development of secondary instruments.