CN-122004109-A - Intelligent irrigation system based on soil moisture content and weather prediction

CN122004109ACN 122004109 ACN122004109 ACN 122004109ACN-122004109-A

Abstract

The application discloses an intelligent irrigation system based on soil moisture content and weather prediction, and relates to the technical field of intelligent irrigation, comprising a curve weir arranged on a channel, wherein a gate capable of ascending and descending is vertically arranged above the curve weir; the irrigation water metering system calculates irrigation flow under different flow states according to the opening degree and water level information of the gate, the soil moisture content and weather forecast irrigation control system performs lifting and multistage opening degree control on the gate according to an advanced water control logic based on weather forecast and real-time feedback and a closed loop control logic based on soil moisture content and humidity threshold, the intelligent irrigation platform performs data query and management, and the power supply system supplies power. According to the application, the gate is controlled to be lifted and controlled in multiple stages by the advanced water control logic based on weather forecast and real-time feedback and the closed-loop control logic based on soil moisture and humidity threshold, so that the advancement, accuracy and real-time performance of agricultural irrigation are improved.

Inventors

LONG YUANNAN
Liao Dehai
YU GUANLONG
WANG XINKUI
SONG XINYI
LI RONGRONG
LIU SHIWEI
YANG BINLIN
YAN SHIXIONG

Assignees

长沙理工大学

Dates

Publication Date: 20260512
Application Date: 20251229

Claims (9)

1. An intelligent irrigation system based on soil moisture content and weather prediction is characterized by comprising an irrigation water metering system, a soil moisture content and weather forecast irrigation control system, an intelligent irrigation platform and a power supply system; the system also comprises a curve weir arranged on the channel, wherein a gate capable of lifting is vertically arranged above the curve weir; the irrigation water metering system is arranged to acquire water level information before and after a gate, and calculate irrigation flow under different flow states according to the opening degree of the gate and the water level information; The soil moisture content and weather forecast irrigation control system is arranged to acquire soil moisture content data and weather forecast data, and control the lifting and multistage opening of the gate according to advanced water control logic based on weather forecast and real-time feedback and closed-loop control logic based on soil moisture content and humidity threshold; the intelligent irrigation platform is arranged for inquiring and managing data of the irrigation water metering system, the soil moisture content and the weather forecast irrigation control system; The power supply system is used for supplying power to the irrigation water metering system, the soil moisture content and the weather forecast irrigation control system.
2. The intelligent irrigation system based on soil moisture and weather prediction according to claim 1, wherein water level sensors are symmetrically arranged above the curved weir and at the front and rear positions of the gate; the irrigation water metering system acquires water level information before and after a gate based on the water level sensor, and feeds the water level information back to the control processor in real time, and the control processor calculates irrigation flow under different flow states according to the gate opening and the water level information.
3. The intelligent irrigation system based on soil moisture and weather prediction as claimed in claim 1, wherein a trash device is installed on the upstream side of the curved weir.
4. The intelligent irrigation system based on soil moisture and weather prediction as claimed in claim 1, wherein the irrigation water metering system determines flow state by calculating a ratio of gate opening to pre-gate water depth in the water level information: when the ratio of the gate opening to the water depth before the gate is greater than a preset threshold value, judging that the current flow state is a flat bottom weir flow; when the ratio of the opening of the gate to the water depth before the gate is smaller than or equal to a preset threshold value and the water level after the gate is smaller than or equal to the critical water depth of the gate hole, judging the current flow state as free outflow of the flat bottom gate hole; When the ratio of the opening of the gate to the water depth before the gate is smaller than or equal to a preset threshold value and the water level after the gate is larger than the critical water depth of the gate hole, the current flow state is judged to be the submerged outflow of the flat bottom gate hole.
5. The intelligent irrigation system based on soil moisture and weather prediction according to claim 1, wherein the soil moisture and weather forecast irrigation control system obtains soil moisture content data through a soil moisture sensor, transmits the soil moisture content data to a control processor through a remote communication device, and accesses a weather data platform through an API interface technology to obtain weather forecast data; And the control processor issues an instruction to the driving device according to the advanced water control logic based on weather forecast and real-time feedback and the closed-loop control logic based on soil moisture content and humidity threshold value, and the driving device performs lifting and multistage opening control on the gate.
6. The intelligent irrigation system based on soil moisture and weather prediction as set forth in claim 1, wherein the advanced water control logic based on weather forecast and real-time feedback comprises: Executing a closed-loop control logic based on soil moisture and humidity threshold values and monitoring sudden precipitation if weather forecast data predicts no precipitation in a preset time, preliminarily controlling the opening of a gate to be 0 if weather forecast data predicts precipitation in the preset time, checking whether actual precipitation exists in real time, keeping the opening of the gate to be 0 if the actual precipitation exists, and executing the closed-loop control logic based on the soil moisture and humidity threshold values if the actual precipitation does not exist.
7. The intelligent irrigation system based on soil moisture and weather prediction as set forth in claim 1, wherein the closed loop control logic based on soil moisture and humidity threshold comprises: when the soil moisture content is smaller than the moisture threshold, triggering wake-up monitoring, and adjusting the opening of the gate according to the proportion of the soil moisture to the moisture threshold, wherein the larger the proportion of the soil moisture to the moisture threshold is, the smaller the opening of the gate is adjusted; When the soil humidity in the soil moisture content is greater than or equal to the humidity threshold value and smaller than the upper limit threshold value, keeping the current gate opening unchanged; When the soil humidity in the soil moisture content is greater than or equal to the upper limit threshold value, the gate is closed, and then the control system enters a dormant state until the next awakening monitoring is triggered.
8. The intelligent irrigation system based on soil moisture and weather prediction as set forth in claim 1, wherein the intelligent irrigation platform comprises a main page, a data query page, a parameter setting page and a user management page; the homepage comprises a data display page, an operation mode page, a weather forecast page and a weather forecast program, wherein the data display page displays soil humidity, valve opening, irrigation flow and weather forecast to realize real-time monitoring of irrigation district information; the data query page is used for a user to call out the running state of the equipment and data information at a certain moment; The parameter setting page comprises crop parameters, a parameter setting page and a parameter setting page, wherein the crop parameters are used for setting a crop irrigation period and a crop water demand; system parameters for customizing the type and arrangement sequence of the main page display data; The user management page is used for a user and an administrator to log in, so that different operations are realized.
9. The intelligent irrigation system based on soil moisture and weather prediction according to claim 1, wherein the power supply system adopts a solar power supply system, and comprises a photovoltaic solar panel and a power supply device; the photovoltaic solar panel is used for converting solar energy into electric energy and storing the electric energy in the storage battery pack; The power supply device is used for converting direct-current electric energy in the storage battery into standard voltage required by electric equipment in the irrigation water metering system, the soil moisture content and the weather forecast irrigation control system.

Description

Intelligent irrigation system based on soil moisture content and weather prediction Technical Field The application relates to the technical field of intelligent irrigation, in particular to an intelligent irrigation system based on soil moisture content and weather prediction. Background In the technical field of modern agriculture, a water-saving irrigation technology becomes one of the core directions of intelligent agriculture development under the bidirectional driving of the aggravation of water resource supply and demand contradiction and the fine planting demand of crops. Traditional irrigation mode relies on manual experience to judge more, is difficult to accurately match the moisture demand of different crop growth periods, easily causes water resource inefficiency to utilize and extravagant. Meanwhile, the soil moisture content sensing technology and the weather big data prediction technology are mature gradually, and technical support is provided for intelligent upgrading of the irrigation technology. The precise and real-time irrigation regulation and control becomes a key path for improving the agricultural production efficiency and realizing the sustainable development of agriculture. Therefore, intelligent irrigation technology needs to be studied. In the prior art, chinese patent CN119837026A discloses a farmland soil moisture content prediction and irrigation method, which comprises the steps of obtaining multi-source data, wherein the multi-source data comprises one or more of soil sensor data, remote sensing data, meteorological data and crop parameters, obtaining first soil moisture content based on the multi-source data, wherein the first soil moisture content is used for indicating the content of moisture in current soil, predicting second soil moisture content according to the first soil moisture content and the multi-source data, wherein the second soil moisture content is used for indicating the content of moisture in soil in a certain future period, and generating irrigation instructions based on the second soil moisture content and target soil moisture content when the second soil moisture content is smaller than a preset soil moisture content, wherein the farmland irrigation method is used for irrigation according to the irrigation instructions, and the irrigation instructions comprise single irrigation time and irrigation interval time. However, the above-mentioned prior art generates a fixed irrigation instruction only according to the predicted soil moisture content, does not consider the influence of precipitation on irrigation, and lacks fine adjustment of multi-stage opening degree, and advancement, accuracy and instantaneity of agricultural irrigation are to be improved. Disclosure of Invention The application provides an intelligent irrigation system based on soil moisture content and weather prediction, which is used for solving the problems that the influence of precipitation on irrigation is not considered in the prior art, the fine adjustment of multi-stage opening degree is lacking, and the advancement, accuracy and instantaneity of agricultural irrigation are to be improved. On one hand, the application provides an intelligent irrigation system based on soil moisture and weather prediction, which comprises an irrigation water metering system, a soil moisture and weather forecast irrigation control system, an intelligent irrigation platform and a power supply system. The system also comprises a curve weir arranged on the channel, wherein a gate capable of lifting is vertically arranged above the curve weir. The irrigation water metering system is arranged to acquire water level information before and after the gate, and calculate irrigation flow under different flow states according to the gate opening and the water level information. The soil moisture content and weather forecast irrigation control system is used for acquiring soil moisture content data and weather forecast data and controlling the lifting and multistage opening of the gate according to advanced water control logic based on weather forecast and real-time feedback and closed-loop control logic based on soil moisture content and humidity threshold. The intelligent irrigation platform is used for inquiring and managing data of the irrigation water metering system, the soil moisture content and the weather forecast irrigation control system. The power supply system is used for supplying power to the irrigation water metering system, the soil moisture content and the weather forecast irrigation control system. In one possible implementation, water level sensors are symmetrically arranged above the curved weir and at positions in front of and behind the gate. The irrigation water metering system acquires water level information before and after a gate based on the water level sensor, and feeds the water level information back to the control processor in real time, and the control processor calculates ir