An agricultural intelligent irrigation water-saving management system and method based on big data

By adopting big data technology and intelligent management systems in agricultural irrigation systems, real-time monitoring and analysis of field water storage situations, the problems of waste of water resources and difficulty in identifying demands in traditional irrigation systems are solved, and more efficient water resources management is achieved.

CN119784192AInactive Publication Date: 2025-04-08NANJING RONGZHIDING TECH CO LTD
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Patent Information

Application Number
CN202510273354.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-10
Publication Date
2025-04-08
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Traditional irrigation systems rely on manual experience or fixed cycles for water resource allocation, resulting in serious waste of water resources and the inability to accurately analyze the dynamic water resource requirements in irrigated areas.

Method used

A large data-based agricultural intelligent irrigation and water-saving management system is adopted to install monitoring equipment in the target fields, collect data in real time, evaluate water storage capacity, divide irrigation areas, extract differential characteristics, analyze the degree of impact, and monitor water storage in real time to identify abnormalities.

Benefits of technology

Effectively identify areas that need irrigation, avoid waste of water resources, accurately identify abnormal water consumption, reduce waste caused by frequent irrigation, and improve treatment efficiency.

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Abstract

The invention discloses an agricultural intelligent irrigation water-saving management system and method based on big data, and relates to the field of irrigation water-saving technology. The management method comprises the following steps: monitoring the water storage situation in a target field in a closed environment and dividing the area, and collecting the monitoring data of each monitoring device in the corresponding area in real time; evaluating the water storage capacity of the corresponding area based on the collected monitoring data; re-dividing the target field into a plurality of irrigation areas based on the difference in water storage capacity, and extracting the difference characteristics; arbitrarily selecting an irrigation area for comparison and analysis with the remaining irrigation areas, obtaining the influence degree of each difference characteristic, and analyzing the expected deviation amplitude of the irrigation area; each time after the target area is irrigated, the water storage situation of the target area is monitored in real time by the monitoring equipment, and based on the change of the water storage value of each irrigation area, it is judged in real time whether there is an abnormality.
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