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Online monitoring and fault diagnosis system for filling pipeline leakage based on distributed fiber optic acoustic sensing technology
Date
2024
Abstract
With the deepening development of mineral resources, deep well mining has become an important trend in the mining industry. The filling mining method is widely used in the extraction of iron, non-ferrous metals, gold, and uranium mines due to its high safety, environmental friendliness, and high ore recovery rate. However, the failure of filling pipelines can lead to serious accidents, greatly impacting the mining operation chain. Therefore, developing an online monitoring and fault diagnosis system for detecting filling pipeline failures is of great significance. Currently, common methods such as camera surveillance and pipeline pressure monitoring have coverage limitations and environmental constraints. This paper reports a pipeline leakage monitoring system based on Distributed Acoustic Sensing (DAS) technology, utilizing fiber-optic phase-sensitive acoustic sensing technology to achieve precise location and real-time monitoring of leakage points alone the pipeline. Experimental results shows that this system can accurately capture characteristics of leakage events both in the time-domain and frequency-domain, The system provides high real-time performance, accuracy, and reliability, to effectively ensure the mining production safety.
Supervisor
Description
Publisher
University of Limerick
Citation
20th Sensors and Their Applications Conference, 2024, Paper No: 60
Collections
Files
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Paper_60.pdf
Adobe PDF, 529.22 KB