Irrigation Flow Meter Feedback for Leak and Valve Fault Detection
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Solution Overview
Problem
Conventional irrigation systems lack real-time water flow monitoring and feedback, leading to inefficiencies and water losses due to leaks, clogs, and malfunctioning valves, as they rely on manual adjustments or assumptions about water distribution uniformity across zones.
Innovation Solution
A system and method that utilize flow meters connected to an irrigation controller to measure and compare water flow in real-time, automatically learning the relations between control valves and flow meters, and triggering alerts for deviations from typical flow rates to detect malfunctions and optimize water usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual adjustments or assumptions about water distribution are used, then device complexity is reduced, but water loss increases due to leaks, clogs, and malfunctioning valves going undetected
Solution Approach 1:
The system implements continuous feedback by measuring actual water flow through flow meters and comparing it to expected flow rates calculated from valve runtime and historical data. When deviations exceed thresholds, the system generates alerts to detect leaks, clogs, or malfunctioning valves, enabling timely intervention to prevent water loss.
Solution Approach 2:
The patent replaces manual monitoring and adjustment mechanisms with automated electronic systems including flow meters, controllers, and communication modules. This substitution of mechanical/manual operations with automated sensing and control systems enables continuous monitoring without increasing operational complexity for the user.
2Loss of substance
If flow meters and real-time monitoring are added to the system, then water loss detection improves, but device complexity increases
Solution Approach 1:
The irrigation controller serves multiple functions: it manages valve operation schedules, calculates expected water flow rates, receives flow meter data, performs comparisons to detect anomalies, and generates alerts. This multi-functionality consolidates monitoring and control capabilities into a single device, minimizing the need for additional dedicated components and reducing overall system complexity.
Solution Approach 2:
The system performs self-diagnosis by automatically comparing measured flow rates against expected values and identifying potential issues such as leaks or clogs without requiring manual inspection. The automated detection and alerting mechanisms enable the system to monitor its own performance and notify users of problems, reducing the need for external monitoring infrastructure.
3Productivity
If precise water flow measurement and real-time feedback are implemented, then water usage efficiency improves, but loss of information increases due to the need to process and compare flow data
Solution Approach 1:
The system extracts only the critical information needed for monitoring by focusing on comparing actual flow rates against expected flow rates. Rather than processing and storing all possible operational parameters, the system isolates the key metric (flow rate deviation) that indicates potential problems, minimizing data processing requirements while maintaining effective monitoring capability.
4Productivity
If automated flow monitoring and alert systems are added, then productivity in water management improves, but device complexity increases
Solution Approach 1:
The patent combines flow measurement, data processing, comparison logic, and alert generation functions into an integrated system where the irrigation controller serves as the central hub. By merging these functions into a unified control architecture rather than separate distributed systems, the patent improves water management productivity while minimizing the increase in overall system complexity.
Data Source
AI summary
System and method for controlling an irrigation system using feedback from flow meters installed in an irrigation system are described. The system and method allows for automatic detection of the number of flow meters and their relation to controls valves attached to an irrigation system and for precise and reliable fluid flow measurements. Typical water flows for the system are learned and then compared to current water flows to detect water leaks (i.e., high water flow), malfunctioning control valves and/or low water flow and subsequently trigger electronic alerts to the user when system malfunctions are detected.