Title: An infrasound source localisation algorithm for improving location accuracy of gas pipeline leakage detection system

Authors: Mei Zhang; Li Gao; Xiao Zhang; Shuangshuang Zhang

Addresses: School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, China ' School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, China ' School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, China ' School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, China

Abstract: To solve inaccurate location for urban gas pipeline leakage, an optimised algorithm based on infrasound source location is developed in this study. First, wavelet transform is adopted to denoise the infrasound signal that is collected from gas pipeline leakage by the sensor array. Subsequently, the generalised cross-correlation method is proposed to determine the delay between adjacent sensor nodes. Next, the location of the leakage point is calculated using the built location model of leakage source. A gas pipeline leakage detection system is developed using low-power WAN technology and embedded microprocessor to implement this localisation algorithm. Lastly a simulation experiment of leakage location is performed in the laboratory. As revealed from the experimental results, the detection system exhibits high location accuracy.

Keywords: gas pipeline leakage; detection system; localisation algorithm; infrasound source; generalised cross-correlation method; embedded microprocessor.

DOI: 10.1504/IJES.2022.122042

International Journal of Embedded Systems, 2022 Vol.15 No.1, pp.9 - 18

Received: 10 Jul 2020
Accepted: 08 Sep 2020
Published online: 08 Apr 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article