Water Meter Leak Detection via Dynamic Alarm Adjustment
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Solution Overview
Problem
Existing methods for detecting leaks in liquid lines, particularly those with small flow rates, are unreliable and often fail to distinguish between leaks and normal fluid consumption, leading to undetected damage from dripping leaks and false alarms due to high threshold settings.
Innovation Solution
A method that records and compares flow rates during liquid withdrawal processes, adjusts alarm values based on frequency, and incorporates pressure measurements to detect microleaks, using a water meter with flow and pressure sensors connected to a controller to issue alerts and adjust thresholds dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If flow sensors with a wide measuring range are used to detect large fluid losses, then pipe bursts can be detected, but small leaks (less than 0.8 l/min) cannot be detected reliably
Solution Approach 1:
The alarm value is not fixed but dynamically adjusted based on the frequency of occurrence of flow rates above an adjustment value. The control unit automatically adapts the alarm value to reflect typical consumption patterns, enabling reliable detection of small leaks even with a wide measuring range sensor.
Solution Approach 2:
The system changes the alarm threshold parameter dynamically based on observed consumption frequencies. By monitoring how often flow rates exceed certain values and adjusting the alarm value accordingly, the system optimizes its sensitivity to detect small leaks while maintaining the ability to handle large fluid losses.
2Reliability
If high threshold values are set to avoid false alarms, then false alarms are reduced, but small leaks remain undetected
Solution Approach 1:
The system uses feedback from monitored flow rates to automatically adjust the alarm value. By analyzing the frequency of occurrence of flow rates above an adjustment value, the control unit learns typical consumption patterns and adapts the threshold accordingly, reducing false alarms while maintaining sensitivity to small leaks.
Solution Approach 2:
The alarm value transitions from a static high threshold to a dynamic value that adapts based on observed consumption frequencies. This dynamic adjustment allows the system to lower the effective threshold when appropriate, enabling detection of small leaks without causing false alarms from normal consumption variations.
3Ease of operation
If a fixed alarm value is used, then the system is simple to operate, but it cannot distinguish between leaks and normal consumption patterns
Solution Approach 1:
The system performs self-adjustment by automatically adapting the alarm value based on monitored consumption patterns. The control unit independently analyzes frequency data and modifies the alarm threshold without requiring manual intervention, maintaining operational simplicity while improving leak detection accuracy through automatic adaptation to normal consumption variations.
4Reliability
If pressure measurements are added to detect microleaks, then detection reliability improves, but device complexity increases
Solution Approach 1:
The existing flow sensor serves multiple functions: it detects both normal consumption patterns and leak conditions. By combining pressure measurements with flow rate monitoring and using the control unit to analyze both parameters together, the system achieves enhanced microleak detection capability without adding separate dedicated sensors for each function, thereby limiting the increase in device complexity.
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
This approach enhances leak detection reliability, enabling the identification of small leaks and reducing false alarms by adapting alarm values to typical consumption patterns and using pressure measurements to detect microleaks and pipe breaks.
Implementation Method 1
a flow sensor (13) for a liquid, which is connected to the controller (15) in a data-conducting manner
Implementation Method 2
a pressure sensor (14) for a liquid, which is connected to the controller (15) in a data-conducting manner
Data Source
Figure 1~2
Figure 3~4
Figure 5~6
AI summary
Method for detecting a leak, having at least the following steps of: a) capturing a flow rate of a liquid through a liquid line (8) during a multiplicity of liquid removal processes (1.1, 1.2, 1.3, 1.4); b) comparing the flow rates of the liquid in the respective liquid removal processes with an alarm value (2); c) outputting an alarm signal if the flow rate of the liquid in a liquid removal process (1.1, 1.2, 1.3, 1.4) exceeds the alarm value (2); d) adapting the alarm value (2) on the basis of a frequency of the occurrence of the flow rates of the liquid in the liquid removal processes above an adaptation value (3).