Self-Powered Water Flow Monitoring for Adaptive Leak Detection
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Solution Overview
Problem
Existing water flow monitoring systems are not self-learning and fail to adapt to varying usage patterns, leading to false positives and increased complexity, particularly in commercial settings where high flow rates can be misinterpreted as leaks, and they often require additional sensors and complex installations.
Innovation Solution
A self-powered water flow detection system using a Bluetooth LE beacon activated by a turbine element within the water flow detection device, which generates power as water flows, allowing for real-time leak detection and usage pattern analysis without the need for a permanent power supply or battery replacement, and can differentiate between normal usage and leaks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If additional flow sensors are installed in drain lines to distinguish acceptable from unacceptable flow, then measurement accuracy is improved, but device complexity increases
Solution Approach 1:
A single flow monitoring device performs multiple functions: it monitors flow rates, detects leaks, tracks usage patterns, and provides billing information. By consolidating these functions into one device rather than requiring multiple sensors and systems, the solution maintains measurement accuracy while reducing overall system complexity.
Solution Approach 2:
The system uses an intermediary learning algorithm that processes raw flow data and transforms it into meaningful leak detection decisions. This software-based intermediary analyzes flow patterns and distinguishes between normal and abnormal conditions without requiring additional physical sensors, thereby maintaining accuracy while simplifying the hardware architecture.
2Ease of operation
If physical installation occurs after water acquisition for sprinkler use, then installation ease is improved, but adaptability to varying usage patterns deteriorates
Solution Approach 1:
The system performs preliminary learning of normal usage patterns immediately after installation. By continuously monitoring and learning flow characteristics during the initial period, the system adapts to the specific usage patterns of each installation site, ensuring both ease of installation and subsequent adaptability to varying usage conditions.
3Ease of operation
If self-powered operation with turbine-generated power is implemented, then ease of operation is improved by eliminating battery replacement, but device complexity increases due to turbine mechanism
Solution Approach 1:
The turbine mechanism is driven by the water flow itself, converting the kinetic energy of passing water into electrical power. This self-service approach eliminates the need for external power sources, batteries, or manual intervention for power generation, maintaining ease of operation while the turbine integration keeps added complexity minimal.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively adapts to changing water usage patterns, reduces false positives, and simplifies installation by providing real-time leak detection and usage analysis, suitable for both residential and commercial settings, while maintaining operational efficiency and reducing maintenance costs.
Implementation Method 1
a turbine element that in addition to detecting water flow is also used to generate the nominal amount of electrical power needed to activate beacon as water flows through it
Implementation Method 2
the sensor device contains a Bluetooth LE beacon which is activated and turned on when water is flowing through the sensor device
Data Source
AI summary
A device that detects fluid flow may include a housing member that couples to a conduit and an apparatus that outputs the fluid. The device may also include a flow mechanism that detects the fluid flow through the conduit and the apparatus and a transmitter that transmits a signal indicative of the fluid flow to a computing device.