Chenxi Li , Xiuji Xia , Mingying Hu , Yutong Wang , Tianyu Li
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引用次数: 0
Abstract
Current sensors used for river monitoring, especially devices targeting low-flow rivers, still face challenges such as high costs, difficulties in supplying power, and limited measurement ranges. This study describes a Bionic self-powered wireless sensor device based on triboelectric nanogenerator. This economical method successfully overcomes the drawbacks of traditional sensors by combining a triboelectric nanogenerator with a turbine inspired by fish biology. At 0.5 m/s flow velocity, the bio-inspired turbine exhibits 56.1 % more instantaneous torque than hybrid turbines, allowing for precise low-flow monitoring (0.1–3 m/s range) with 0.995 R2. Its simplified design and small 50 mm TENG component save production costs while preserving measuring accuracy. In order to provide thorough environmental monitoring, the system also includes integrated temperature and humidity sensors and solar panels for self-powering. This invention, which combines bionic engineering and triboelectric nanogenerator technology, offers an environmentally beneficial way to manage water resources, especially in low-velocity settings where conventional sensors function poorly. Energy harvesting and flow sensing are accomplished simultaneously by the integrated design, which is a helpful development in environmental monitoring infrastructure.
期刊介绍:
Sensors and Actuators A: Physical brings together multidisciplinary interests in one journal entirely devoted to disseminating information on all aspects of research and development of solid-state devices for transducing physical signals. Sensors and Actuators A: Physical regularly publishes original papers, letters to the Editors and from time to time invited review articles within the following device areas:
• Fundamentals and Physics, such as: classification of effects, physical effects, measurement theory, modelling of sensors, measurement standards, measurement errors, units and constants, time and frequency measurement. Modeling papers should bring new modeling techniques to the field and be supported by experimental results.
• Materials and their Processing, such as: piezoelectric materials, polymers, metal oxides, III-V and II-VI semiconductors, thick and thin films, optical glass fibres, amorphous, polycrystalline and monocrystalline silicon.
• Optoelectronic sensors, such as: photovoltaic diodes, photoconductors, photodiodes, phototransistors, positron-sensitive photodetectors, optoisolators, photodiode arrays, charge-coupled devices, light-emitting diodes, injection lasers and liquid-crystal displays.
• Mechanical sensors, such as: metallic, thin-film and semiconductor strain gauges, diffused silicon pressure sensors, silicon accelerometers, solid-state displacement transducers, piezo junction devices, piezoelectric field-effect transducers (PiFETs), tunnel-diode strain sensors, surface acoustic wave devices, silicon micromechanical switches, solid-state flow meters and electronic flow controllers.
Etc...