Water Supply Network Fault Detection via Local-Central Comparison
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Solution Overview
Problem
Existing water supply networks face challenges in quickly and accurately detecting damage or insufficient water quality, leading to late recognition of issues and high effort for remediation, especially due to varying conditions caused by numerous consumers and diverse consumption habits.
Innovation Solution
A monitoring procedure for water supply networks that involves capturing local and central water state variables, comparing them to detect disturbances, and potentially taking measures to address these issues through a disruption system equipped with sensors and data processing capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional monitoring methods are used in water supply networks, then the system structure remains simple, but fault detection speed and reliability deteriorate
Solution Approach 1:
The water supply network is divided into multiple segments with individual building water connections. Each segment is monitored independently by comparing its local water state variables against central reference values, enabling localized fault detection without requiring a completely centralized complex monitoring system.
Solution Approach 2:
A fault detection system acts as an intermediary between the water distribution system and building water connections. It collects water state variables from multiple sources, performs comparisons, and generates fault indications, thereby simplifying the overall monitoring architecture while improving detection reliability.
2Measurement precision
If comprehensive monitoring of all building water connections is implemented, then fault detection accuracy improves, but system complexity and data processing requirements worsen
Solution Approach 1:
Each building water connection is assigned its own local water state variables (pressure, flow rate, temperature) that are specific to that location. This localized measurement approach improves detection accuracy for each segment while keeping the data processing requirements manageable by focusing on local conditions rather than requiring analysis of all network data simultaneously.
Solution Approach 2:
The fault detection system performs multiple functions: collecting water state variables, comparing local and central values, detecting faults, and generating indications. This multi-functional approach consolidates what would otherwise require multiple separate systems into a single integrated solution, reducing overall complexity while maintaining high detection accuracy.
3Loss of time
If frequent monitoring is performed to detect faults quickly, then response time improves, but energy consumption and measurement resource usage worsen
Solution Approach 1:
The system performs monitoring at regular intervals by periodically comparing water state variables. This periodic measurement approach enables timely fault detection while avoiding continuous monitoring, thereby reducing energy consumption and measurement resource usage while maintaining acceptable response times for fault detection.
Solution Approach 2:
The system establishes baseline water state variables and comparison criteria in advance. By having pre-configured reference values and detection thresholds ready, the system can perform rapid comparisons when measurements are taken, reducing the time required for fault detection without requiring excessive processing power or energy during the actual monitoring event.
Data Source
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AI summary
Method for monitoring a water supply network (1) with a water distribution facility (2), water channels (3) and building water connections (4), comprising at least the following steps: a) recording at least one local water condition variable in areas of a plurality of building water connections (4); b) recording at least one central water condition variable in at least one area of a water channel (3) or the water distribution facility (2); c) comparing the water condition variables with each other; d) detecting at least one fault (5) with respect to at least one of the water channels (3) based on the comparison according to step c).