IoT Greenspace Irrigation Control for Urban Water Waste Reduction
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Solution Overview
Problem
In urban construction, a significant amount of irrigation water is wasted during greenspace maintenance, highlighting the need for a method and system to scientifically distribute irrigation water in smart cities to ensure optimal growth while conserving resources.
Innovation Solution
A method and system utilizing an Internet of Things (IoT) platform that includes a sensor network, image recognition models, and growth condition prediction models to determine historical and target irrigation parameters, generating irrigation control instructions for efficient water distribution across greenspaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of substance
If traditional irrigation methods are used for greenspace maintenance, then irrigation water is distributed to greenspaces, but a large amount of irrigation water is wasted
Solution Approach 1:
The system implements feedback mechanisms by using sensor networks to monitor soil moisture, growth conditions, and environmental parameters of greenspaces in real-time. This data feeds back to the irrigation management platform, which automatically adjusts irrigation parameters and controls irrigation execution, creating a closed-loop system that eliminates water waste through precise, condition-based irrigation decisions
Solution Approach 2:
The irrigation system enables greenspaces to essentially self-regulate their water needs through automated sensing and control. The sensor networks detect when greenspaces require irrigation, and the system automatically executes irrigation without human intervention, allowing the greenspace management system to serve itself and eliminate manual irrigation waste
2Loss of substance
If automated IoT-based irrigation control is implemented, then irrigation water waste is reduced, but system complexity increases
Solution Approach 1:
The irrigation system is segmented into distinct functional modules: sensor networks for data collection, growth condition prediction models for analysis, irrigation parameter determination for decision-making, and irrigation execution for action. This segmentation allows each component to be independently developed, deployed, and optimized, reducing overall system complexity while achieving automated water-saving irrigation control
Solution Approach 2:
The patent introduces an irrigation management platform as an intermediary that coordinates between the sensor networks, prediction models, and irrigation execution systems. This intermediary layer abstracts the complexity of automated control, providing a centralized interface that manages data flow, processing logic, and actuation commands, thereby reducing the complexity burden on individual components
Data Source
AI summary
The present disclosure provides a method and a system for greenspace cultivation and management in a smart city based on an Internet of Things. The method includes obtaining historical monitoring information of a plurality of greenspaces; determining historical growth information based on the historical monitoring information; obtaining historical irrigation parameters and historical environment information of each greenplace; determining a first growth information of each greenplace based on historical growth information, historical irrigation parameters, and historical environment information; obtaining a preset total amount of irrigation in a target area; determining a plurality of candidate irrigation schemes of each greenplace based on the preset total amount of irrigation and the first growth information corresponding to each greenplace; determining a target irrigation scheme by performing iteratively updation on the candidate irrigation schemes, wherein the target irrigation scheme includes a set of target irrigation parameters; generating an irrigation control instruction based on the target irrigation parameters; and sending the irrigation control instruction to an irrigation object platform, and irrigating, by the irrigation object platform, the each greenspace in response to the irrigation control instruction.