The Gas Leak Detection Based on a Wireless Monitoring System
- 9 January 2019
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Industrial Informatics
- Vol. 15 (12), 6240-6251
- https://doi.org/10.1109/tii.2019.2891521
Abstract
Industrial gas leaks cause accidents and pose threats to the environment and human life. Thus, it is essential to detect gas leaks in time. Usually, the abnormal concentration signals are defined by a fixed concentration value, such as 25 of the lower explosive limit. However, it is difficult to accumulate to the fixed point quickly when the leak is small. In addition, the actual leak signals are seldom available, making many data classifications inoperable. To solve these problems, this paper proposes a detection approach using the auto-correlation function (ACF) of the normal concentration segment. The feature of each normal segment is obtained by calculating the correlation coefficients between ACFs. According to the features of statistical analysis, a nonconcentration threshold is determined to detect the real-time signals. In addition, the weighted fusion algorithm based on the distance between the sensors and virtual leak source is used to fuse multisensory data. The proposed method has been implemented in a field by building a wireless sensor network. It is confirmed that the system detection rate reaches as high as 96.7 and the average detection time delay is less than 30s on the premise of low false alarm rate.Keywords
Funding Information
- Key Research and Development Plan Project of Zhejiang Province (2018C01036)
- National Natural Science Foundation of China (61871167, 61376117)
This publication has 27 references indexed in Scilit:
- Self-Activated Transparent All-Graphene Gas Sensor with Endurance to Humidity and Mechanical BendingACS Nano, 2015
- Compact Low Power Wireless Gas Sensor Node With Thermo Compensation for Ubiquitous DeploymentIEEE Transactions on Industrial Informatics, 2015
- Approach for quantification of metal oxide type semiconductor gas sensors used for ambient air quality monitoringSensors and Actuators B: Chemical, 2015
- Wireless Gas Leak Detection and LocalizationIEEE Transactions on Industrial Informatics, 2015
- Hydrogen Sulfide (H2S) Gas Safety System for Oil Drilling Sites using Wireless Sensor NetworkProcedia Computer Science, 2015
- Enhancing lifetime of WSN for natural gas leakages detectionMicroelectronics Journal, 2014
- Deployment and evaluation of a wireless sensor network for methane leak detectionSensors and Actuators A: Physical, 2013
- A survey on gas leak detection and localization techniquesJournal of Loss Prevention in the Process Industries, 2012
- Detection of small leakage from long transportation pipeline with complex noiseJournal of Loss Prevention in the Process Industries, 2011
- Optimal segmentation of random processesIEEE Transactions on Signal Processing, 1998