Pipes, like blood vessels, play an important role in industry and people's life. Once a pipeline leak occurs, it will bring huge economic losses and even cause serious accidents. Usually, pipeline leak monitoring is carried out by manual inspection or the installation of many sensors, which have great limitations. In this paper, an intelligent mobile robot is proposed for more effectively monitoring the large-scale pipeline systems. Equipped with microphone the robot can be set with the inspection paths, realize the monitoring of leakage anomaly by power spectrum and correlation analysis of sound signal according to the collected real-time data, and pinpoint the location of leakage by calculating the sound pressure. The experimental results show that this method is convenient and effective in a typical industrial environment.
CITATION STYLE
Tang, W., Deng, R., Huang, B., Gu, F., & Ball, A. D. (2023). A Mobile Pipeline Leak Monitoring Robot Based on Power Spectrum Correlation Analysis and Sound Pressure Location. In Mechanisms and Machine Science (Vol. 117, pp. 853–866). Springer Science and Business Media B.V. https://doi.org/10.1007/978-3-030-99075-6_69
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