Urban greening intelligent irrigation control method and device

By obtaining urban greening distribution information, conducting irrigation demand analysis and clustering, and dynamic optimization combined with vegetation growth cycle and real-time data of IoT sensing modules, the problem of lack of precise control in traditional irrigation methods is solved, and efficient and water-saving irrigation management is achieved.

CN119721435AInactive Publication Date: 2025-03-28JINING PUBLIC MUNICIPAL GARDEN GRP CO LTD
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Patent Information

Application Number
CN202411367507.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-29
Publication Date
2025-03-28
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Traditional irrigation methods lack precise control of vegetation in different regions, resulting in inefficient irrigation and waste of water resources, making it difficult to meet diversified needs.

Method used

By obtaining urban greening distribution information, irrigation demand analysis and clustering, multiple subdivided irrigation areas are determined. Combining the regular vegetation growth cycle laws, the original irrigation plan is generated, the Internet of Things sensing module is deployed to collect the environment and vegetation growth status in real time, and dynamically optimized with meteorological prediction data to generate a personalized irrigation plan.

Benefits of technology

Accurate irrigation control of vegetation in different regions has been achieved, irrigation costs and water waste have been reduced, and the diversified needs of vegetation in different regions has been met.

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Abstract

The invention discloses an urban landscaping intelligent irrigation control method and device, and relates to the technical field of intelligent control, and the method comprises the steps: obtaining urban landscaping distribution information, carrying out the irrigation demand analysis, and determining a plurality of subdivided irrigation regions through clustering; for each subdivided irrigation area, generating a plurality of original irrigation schemes in combination with the growth cycle of vegetation; on the basis of Internet of Things sensing modules deployed in all regions, environment state and vegetation growth state data are collected in real time, regional weather prediction information is combined, an original irrigation scheme is dynamically optimized, a personalized irrigation scheme is generated, and intelligent irrigation control is carried out accordingly. The technical problems that in the prior art, a traditional irrigation mode lacks precise irrigation control over vegetation in different areas, irrigation cost is high, and diversification requirements are difficult to effectively meet are solved, and the technical effects that the irrigation cost and water resource waste are reduced through regional precise irrigation, and the diversification requirements of vegetation in different areas are met are achieved.
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