Irrigation Flow Monitoring and Valve Control for Leak Shutoff
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Solution Overview
Problem
Agricultural and other industries face challenges in detecting leaks in remote irrigation systems, leading to significant water waste due to the lack of real-time monitoring and automatic optimization solutions.
Innovation Solution
A fluid conservation system that includes sensors for monitoring fluid flow and pressure, control valves for regulating flow, and a central computing system for analyzing data and actuating valves to prevent waste, even in off-grid locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If manual leak detection methods are used in remote irrigation systems, then system complexity is reduced, but water waste increases due to delayed leak detection
Solution Approach 1:
The system implements continuous feedback loops where flow sensors monitor fluid consumption in real-time, compare actual usage against expected usage patterns, and automatically trigger alerts or shutdowns when anomalies indicating leaks are detected. This closed-loop feedback mechanism enables automatic leak detection without requiring complex manual intervention systems.
Solution Approach 2:
The irrigation system performs self-diagnosis through integrated sensors and control algorithms that automatically detect leaks, identify their locations, and initiate corrective actions such as shutting off affected zones. This self-service capability eliminates the need for continuous manual monitoring while reducing water waste from undetected leaks.
2Reliability
If real-time monitoring systems are deployed in remote off-grid locations, then leak detection capability improves, but system complexity and power requirements increase
Solution Approach 1:
The monitoring system is divided into independent modular units, each responsible for specific sensor functions (flow sensing, pressure sensing, environmental monitoring) and local data processing. These segmented modules communicate through simplified protocols, reducing overall system complexity while maintaining reliable leak detection capability across distributed remote locations.
Solution Approach 2:
The system employs multi-functional sensors and control units that perform multiple tasks: flow measurement, leak detection, environmental condition monitoring, and communication. This universal design approach reduces the number of separate components needed in remote off-grid installations, simplifying deployment while ensuring reliable leak detection.
3Measurement precision
If continuous monitoring of all pipe zones is implemented, then leak detection accuracy improves, but energy consumption increases
Solution Approach 1:
The system implements periodic sampling of flow and pressure data at strategically determined intervals rather than truly continuous monitoring. The monitoring frequency is dynamically adjusted based on operational conditions—higher during active irrigation when leaks are most likely to occur, and lower during idle periods—maintaining leak detection accuracy while significantly reducing energy consumption of monitoring devices.
Solution Approach 2:
The system applies monitoring resources selectively to high-risk zones or periods where leaks are most likely to occur, rather than uniformly across all zones at all times. By concentrating monitoring effort where it provides maximum detection accuracy while accepting reduced monitoring elsewhere, the system achieves effective leak detection with minimized energy consumption.
Data Source
AI summary
A system and associated method are disclosed for dynamically and automatically optimizing fluid usage and preventing waste in an at least one pipe system, such as an irrigation system. In at least one embodiment, an at least one fluid sensor is positioned and configured for monitoring a flow of fluid through a pipe of an at least one zone of the pipe system. At least one control valve is positioned in-line with the pipe and configured for being selectively actuated for controlling the flow of fluid therethrough. At least one controller is positioned and configured for being in communication with each of the fluid sensor and control valve. At least one central computing system is in selective communication with the controller and configured for receiving and processing data related to at least one of the fluid sensor, controller and control valve.