Research on a Hybrid Self-Powered Landslide Rainfall Sensor Based on Triboelectric Nanogenerators and Electromagnetic
Hao Zou1,2, Zexu Zuo3, Xianhong Shen3
1Hubei Key Laboratory of Disaster Prevention and Mitigation, China Three Gorges University, Yichang 443002, China.
Abstract:
Landslide monitoring is crucial for mitigating landslide disaster risks. However, the power supply methods of existing rainfall sensors for landslide monitoring often fail to meet the demands of practical field applications. This study proposes a hybrid self-powered rainfall sensor for landslide monitoring, integrating a triboelectric nanogenerator (TENG) and an electromagnetic generator (EMG). The TENG module is used for rainfall monitoring, while both the TENG and EMG modules are synergistically utilized for power generation. Experimental results demonstrate that the sensor's measurement error is less than 5%, and it can operate stably under conditions of temperature below 90 °C and humidity below 90%. Furthermore, the sensor exhibits power generation capabilities. When the TENG and EMG modules are connected to resistors of 4.3 × 108 Ω and 3.6 × 102 Ω, respectively, they output a maximum power of 57.5 nW and 110.25 mW, respectively. Compared to conventional rainfall sensors, this sensor is self-powered, allowing for normal operation without an external power supply, making it more suitable for field environments prone to landslides.
