AI Sensor Monitoring Backflow Preventer Pressure Relief Valve
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Solution Overview
Problem
Existing BFPs lack continuous monitoring and real-time reporting capabilities, leading to potential contamination of drinking water supplies due to backflow and improper maintenance, with periodic inspections being insufficient to prevent malfunctions and failures.
Innovation Solution
A monitoring and reporting device with an AI sensor mounted on the pressure relief valve of a BFP RPZ, measuring and monitoring water discharge, quality, and turbidity, and transmitting data to a remote computer for predictive maintenance and real-time alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If periodic inspections are used to monitor BFP operation, then device complexity is reduced, but reliability of water supply safety deteriorates due to insufficient detection capability
Solution Approach 1:
The BFP system performs self-diagnosis through integrated sensors that automatically monitor valve position, pressure differential, and flow conditions. The system generates its own operational data and alerts without requiring external inspection personnel, thereby improving reliability while avoiding complex external monitoring infrastructure.
Solution Approach 2:
The system continuously feeds back operational parameters (valve position, pressure differential, flow rate) to a control unit that compares actual conditions against expected parameters. When deviations are detected, the system automatically generates alerts or shuts down, providing continuous safety monitoring without requiring complex manual inspection systems.
2Measurement precision
If manual inspection methods are used, then measurement precision is limited, but loss of time for detection is reduced
Solution Approach 1:
Manual mechanical inspection is replaced with electronic sensors and automated data processing. Flow sensors, pressure transducers, and position sensors continuously measure operational parameters with high precision, while a control unit automatically analyzes the data to detect malfunctions, achieving both high measurement precision and immediate detection without time loss.
Solution Approach 2:
The monitoring system operates continuously rather than periodically, with sensors constantly measuring pressure differential, valve position, and flow conditions. This continuous monitoring ensures malfunctions are detected immediately upon occurrence, providing both high detection accuracy and zero detection time delay.
3Object-affected harmful factors
If no continuous monitoring is implemented, then device complexity is minimized, but harmful factors increase due to potential contamination
Solution Approach 1:
Sensors and control units act as intermediaries between the BFP operational parameters and the monitoring function. The sensors convert physical parameters (pressure, flow, position) into electrical signals that the control unit can process, enabling contamination risk detection without requiring complex direct observation systems.
Solution Approach 2:
The BFP system monitors its own operational status through integrated sensors that detect valve position, pressure differential, and flow conditions. This self-monitoring capability provides continuous contamination risk assessment without requiring external monitoring infrastructure, reducing overall system complexity while maintaining safety.
4Productivity
If periodic maintenance is used, then loss of substance is reduced, but productivity of water supply is compromised due to unexpected failures
Solution Approach 1:
The system performs preliminary detection of malfunction indicators (abnormal pressure differential, incorrect valve position, unusual flow patterns) before actual failure occurs. By detecting these early warning signs, the system enables preventive maintenance that prevents unexpected failures and water waste, ensuring continuous productivity while minimizing substance loss.
Solution Approach 2:
Continuous feedback from sensors on pressure differential, valve position, and flow rate enables real-time detection of degradation trends. The control unit analyzes this feedback data to predict potential failures before they occur, allowing scheduled maintenance that prevents both productivity loss and water waste from unexpected failures.
Data Source
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AI summary
The application relates to novel measuring and monitoring devices mounted on a pressure relief valve of a backflow preventer with a reduced pressure zone (BFP RPZ) with an integrated artificial intelligence (AI) sensor for measuring and monitoring water drained from the pressure relief valve for continuous monitoring and reporting on the operation and condition of the pressure relief valve and the BFP RPZ, and to methods for continuously measuring, monitoring, supervising, and reporting on the operation and condition of a BFP RPZ using such devices.