Paper
21 July 2024 Research on sound source localization based on sound sensor
Hailei Jin, Xuwen Wang, Kun Huang, Xiaomin Xiong, Minshu Zhang, Jiang Li
Author Affiliations +
Proceedings Volume 13219, Fourth International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2024); 132191J (2024) https://doi.org/10.1117/12.3035373
Event: 4th International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2024), 2024, Kaifeng, China
Abstract
Nowadays, most of the 10 kV distribution network cable lines are laid underground in the form of direct burial or casing, and the cable is cut off by the construction machinery, resulting in the accident of line tripping. In the construction of urban construction, third-party external forces such as manual excavation, mechanical excavation and illegal invasion will cause serious damage to underground cables. Therefore, it is of great engineering application value to develop cable marking piles with sound source localization function and find the location of damage points in time. In order to improve the accuracy and effectiveness of positioning, but also to achieve rapid positioning of the source of damage, this paper is based on the sound sensor, using its flexibility, efficiency and timeliness, by controlling the number and location of the sound sensor, combined with the sound intensity to locate the sound source. At the same time, the sound sensor is connected with the number and position of the marking pile, and the traditional cable marking pile is improved to accurately locate the damage source in time.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Hailei Jin, Xuwen Wang, Kun Huang, Xiaomin Xiong, Minshu Zhang, and Jiang Li "Research on sound source localization based on sound sensor", Proc. SPIE 13219, Fourth International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2024), 132191J (21 July 2024); https://doi.org/10.1117/12.3035373
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KEYWORDS
Sensors

Source localization

Fourier transforms

Interference (communication)

Signal intensity

Acoustic waves

Computer simulations

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