1. Development and application of self-powered landslide monitoring sensor.
- Author
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WANG Junfeng, CHEN Miao, HU Yang, WU Yinghui, DAI Xingyi, LIANG Qihua, YANG Jingkun, DONG Biqin, and HUANG Longbiao
- Abstract
As landslide-prone areas in remote mountainous areas, it can be challenging to implement tradition landslide monitoring methods such as station observation and satellite remote sensing due to difficulties in power supply and high installation costs. In order to address this issue, a self-powered sensor based on triboelectric nanogenerator (TENG) has been proposed for early warning of mountain landslides. The sensor is designed as a circular tube by utilizing polytetrafluoroethylene (PTFE) and aluminium (Al) as the friction layer of the sensing unit. By harnessing the magnetic forces both inside and outside the tube, the two friction layers are brought into contact and undergo relative sliding along with the movement of the magnet. The working principle of the sensor has been analyzed through COMSOL software simulation, and experiments have been conducted to determine the optimal width of the friction layer material. The novel structure and sensing mechanism of the internal TENG driven by the magnet material result in highly sensitive output signals for this self-powered sensor. At different relative sliding speeds and separation distances, the sensor shows a remarkable sensitivity, with an output voltage of 1.31 V and an output current of 0.17 μA at a relative sliding speed of 0.05 m/s. Laboratory simulations of landslides demonstrate that the TENG-based self-powered energy sensor achieves an output voltage of 2.5 V, effectively detecting the location of landslides. This study expands the development and application of TENG in the field of geological disaster monitoring, and provides a promising solution for the construction of self-powered sensors and self-drive systems. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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