Acoustic Leak Detection Sensor with Wake-Up Circuit
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional leak detection systems in piping systems face challenges such as false readings, delayed detection due to ambient noise, reliance on centralized hubs, and power consumption issues, leading to inefficiencies in identifying and locating leaks.
Innovation Solution
A monitoring system with sensors, a wake-up circuit, and a processor that can detect audio signals from piping sections, using machine learning algorithms to differentiate between normal and faulty operating conditions, and communicate directly to actuate valves without a central hub, enabling real-time monitoring and noise-cancellation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If audio leak detection techniques are used to detect leaks in piping systems, then leak detection capability is improved, but false-positive detections occur due to vibrations from various sources including ambient noise
Solution Approach 1:
The system continuously monitors acoustic signals and uses feedback loops to adjust detection thresholds and parameters based on learned patterns from normal operating conditions, improving the ability to distinguish true leaks from false positives while maintaining high detection capability
Solution Approach 2:
The system dynamically changes detection parameters such as frequency ranges, sensitivity thresholds, and signal processing filters based on ambient noise conditions and operational context, allowing accurate leak detection across varying environmental conditions while reducing false positives
2Measurement precision
If leak detection is conducted during quiet hours only to reduce false positives, then detection accuracy is improved, but detection is delayed until quiet hours begin
Solution Approach 1:
The system dynamically adjusts its operational state between sleep and active modes based on real-time acoustic signal analysis, allowing it to remain mostly dormant while quickly activating when potential leak signals are detected, thus reducing both false positives and detection delays
Solution Approach 2:
The system performs preliminary monitoring and pre-processing of acoustic signals even in low-power states, preparing detection algorithms and thresholds in advance so that when a potential leak occurs, the system can immediately begin full analysis without waiting for scheduled quiet hours
3Speed
If always-on leak detection systems are used to detect leaks immediately, then detection speed is improved, but power consumption increases significantly
Solution Approach 1:
The system uses periodic sampling and event-triggered activation rather than continuous full-power operation, entering sleep modes between potential leak events while maintaining the ability to quickly detect and respond to leaks when they occur
Solution Approach 2:
The system autonomously manages its own power consumption by monitoring acoustic signal levels and automatically transitioning between power states, using local decision-making to determine when full detection capabilities are needed versus when reduced-power monitoring suffices
4Use of energy by moving object
If interval-based leak detection is used to reduce power consumption, then power usage is reduced, but detection is delayed until the next scheduled check
Solution Approach 1:
The system uses feedback from acoustic signal monitoring to dynamically adjust the interval between detection cycles, shortening intervals when potential leak signals are detected and extending them during normal operation, thus balancing power consumption with detection speed
Solution Approach 2:
The detection system transitions from static interval-based sampling to dynamic event-driven sampling, where the monitoring intensity and timing adapt in real-time based on acoustic signal characteristics, allowing the system to consume less power during normal operation while maintaining rapid detection capability
5Loss of information
If a centralized hub is used to process sensor data and locate leaks, then data processing capability is improved, but system complexity and cost increase
Solution Approach 1:
The system divides data processing functions into distributed segments across multiple autonomous sensor nodes, with each node performing local signal processing and leak detection while sharing results peer-to-peer, eliminating the need for a centralized hub and reducing overall system complexity
Solution Approach 2:
Each sensor node autonomously processes its own acoustic data and makes independent leak detection decisions, with nodes self-organizing into a distributed network that collectively provides system-wide monitoring without requiring centralized control or coordination
6Reliability
If multiple sensors are deployed over a piping system to improve detection coverage, then leak detection accuracy is improved, but communication complexity and cost increase
Solution Approach 1:
The system merges communication functions into the acoustic signal transmission itself, where sensor nodes use the existing acoustic medium to exchange detection data and coordinate leak localization, eliminating the need for separate communication infrastructure and reducing overall system 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 solution reduces false readings, allows for real-time leak detection in various noise conditions, eliminates the need for centralized hubs, and minimizes power consumption, providing efficient and accurate leak identification and mitigation.
Implementation Method 1
a transducer configured such that an audio signal emanating in the piping section induces the transducer to produce a voltage signal indicative of the audio signal
Data Source
AI summary
A system (100) for monitoring a pipe system (10) includes a first sensor device (102). The first sensor device (102) includes at least one sensor, a wake-up circuit (170), and a processor (172). The at least one sensor is configured to sense an operating characteristic of a piping section (12) of the pipe system (10), and includes a transducer configured such that an audio signal emanating in the piping section induces the transducer to produce a voltage signal indicative of the audio signal. The wake-up circuit (170) is operatively connected with the transducer, and generates a wake-up signal in response to the voltage signal being above a predetermined threshold. The processor (172) is operatively connected to the wake-up circuit (170) and to the at least one sensor, and is configured to identify an operating condition of the pipe system (10) with reference to the operating characteristic sensed by the at least one sensor in response to receiving the wake-up signal.