一种降雨绿色智能拦提蓄补协同灌溉系统及灌溉方法

By collecting meteorological information in real time through an intelligent irrigation system and combining it with deep learning and genetic algorithms, automated irrigation decisions are made, which solves the problems of uneven irrigation and resource waste in traditional irrigation methods and improves irrigation accuracy and water resource utilization efficiency.

CN117981660BActive Publication Date: 2026-07-17NORTHWEST A & F UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NORTHWEST A & F UNIV
Filing Date
2023-12-06
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional irrigation management methods rely on human experience, resulting in uneven irrigation, wasting water resources, increasing agricultural costs, and making it difficult to achieve standardization and efficiency.

Method used

By using modern IoT devices to collect meteorological information in real time, and combining deep learning and genetic algorithms, intelligent irrigation decisions are made. Automated irrigation is achieved by using ditch dams to store water, photovoltaic power generation to pump water, and geomembrane cellars to store water at high levels.

Benefits of technology

It has improved the precision of irrigation and the efficiency of water resource utilization, reduced agricultural production costs, and promoted the intelligent and sustainable development of agricultural production.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明公开了一种降雨绿色智能拦提蓄补协同灌溉系统及灌溉方法,该灌溉系统包括数据采集装置、灌溉装置和主控制器,主控制器连接数据采集装置和灌溉装置。数据采集装置用于采集太阳辐射量、当地实时温度和天气数据;灌溉装置包括灌溉主管、与灌溉主管相连的若干滴灌带、控制灌溉主管通水与否的电磁阀、以及向灌溉主管通水的拦堤蓄水机构;拦堤蓄水机构包括沟道坝蓄水池、土工膜窖高位储水池和水泵;主控制器通过对数据采集装置采集的数据进行处理,制定出作物灌溉决策,然后控制灌溉装置进行灌溉。通过该灌溉系统能实现水分管理的集约化、智能化和高效化,提高了灌溉的精准性,同时降低了农业生产成本。
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