Leak Detection and Monitoring System
Using Acoustic Wave (Acoustic Emission)
- System
- Principle
- Data Analysis
- Case Study
The leak detection and monitoring system uses acoustic wave (acoustic emission) technology to detect, analyze, and monitor the status and locations of leaks, allowing users to obtain real-time information about the measured equipment and receive early warnings in case of leaks, helping to prevent property damage or catastrophes.
The leak monitoring system is suitable for various sealed equipment and applications including:
- Valve leak detection and monitoring
- Pipeline leak detection system
- Pressure vessel detection system and monitoring
- Storage tank monitoring
- Boilers
- Heat exchangers
- Pumps
- Vacuum systems, etc.
regardless of whether the internal medium is liquid or gas or mixture of both.
Products for Leak Detection & Monitoring
SVLD1
SVLD1 is a handheld valve leak detector using acoustic emission testing.
- Lightweight and portable
- Powered by two AA batteries
- Easy to operate: simply couple the seneor onto the surface and start measuring leaks
RAEM2
RAEM2 is the IoT-AE wireless all-in-one monitoring system.
- Sensor, processor, communication and battery built-in, ready to use
- Time-triggered and power-saving design for long-term use
- Wireless remote automatic operations
- Suitable for unattended leakage monitoring
SAEU3H or RAEM1-6
Multi-channel testing or monitoring system
- Multiple sensors networking to locate the accurate leak locations
- Suitable for precise localization for leakage testing or monitoring
Principles
The fluid stored in sealed equipment leaks outward through the leakage hole due to pressure difference. During the process of fluid spraying outward, mechanical waves are generated and transmitted outward due to turbulence, friction, liquid gasification, and solid particle collision, which is the phenomenon of leakage producing acoustic waves, also known as the generalized acoustic emission phenomenon. This method detects leaks in sealed equipment and determines the location of leaks by collecting and analyzing acoustic emission signals.
During the leakage process, the transient changes in pressure fluctuations near the leakage point are different, and the resulting acoustic emission signals have a wide spectral range.
Display & Analysis
The QingCheng IoT Cloud Platform, along with Alibaba Cloud, AWS, and other platforms, can be used as the data terminal for display, storage, and analysis. Below are the features of the QingCheng IoT Cloud Platform as examples:
- Real-time AE parameters and waveform displays
- Remote control and configure the devices
- Historical data storage and downloads
- Remote system firmware upgrade
- Parameter values rating to trigger alarm notifications for abnormal activities
2) SWAE software for SAEU3H/RAEM1-6
The SAEU3H or RAEM1-6 system can use the SWAE analysis software to analyze the real-time data and also for post data analysis.
- Various views and analytical functions, location analysis, correlation graph analysis, waveform analysis, Fast Fourier Transform, wavelet transform and more;
- Data storage and exportable to other formats for third party analysis.
Linear location (Time difference algorithm)
Leak waveform in time domain
Several Parameters verse time correlation graphs
3) Smartphone App using Bluetooth for RAEM2
- Real-time parameters and waveform display
- Historical waveform and parameter query (parameters are amplitude, average signal level (ASL), energy, RMS; the display time accuracy is in minutes)
- Device control and configurations
（1）Pipeline monitoring of CETIM power station in France
Long-term arrangement of pipelines in power stations, unattended, linear leakage positioning of long pipelines, monitoring of rock falls and other accidental violations. The generated parameter rating results and other data content are pushed to the mobile phone to monitor whether the pipeline leaks in real time.
（2）Quantitative detection and monitoring of leakage in pipeline of a submersible company
| No. | Leak rate (mL/h) | Amp (dB) | Energy (Kpj) | RMS (mV) | RMS (mV) |
| 1 | 0 | 26.6-30 | 0-1 | 0.007-0.023 | 14-25 |
| 2 | 42000 | 46-51 | 9-22 | 0.055-0.085 | 33-37 |
| 3 | 64000 | 54-56 | 65-75 | 0.14-0.16 | 41-43 |
| 4 | 310000 | 68-72 | 2500-3200 | 0.95-1.05 | 57-58 |
| 5 | 540000 | 76-79 | 11000-13000 | 1.9-2.1 | 64-65 |
| 6 | 650000 | 85-90 | 120000-140000 | 6.5-7.5 | 74-76 |
（3）Quantitative detection and monitoring of leakage in water pipes of a company
The relationship between leakage rate and ASL is shown in the following table: faucet leakage rate calibration.
The instrument integrates built-in communication module, battery, it can upload the alarm signal to the cloud server, and push signals to the mobile phone
（4）Leak monitoring of pipeline experimental station in APC company
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