- Development of a Brachistochrone-shaped Self-powered Sensor IoT Platform for Real-time Wireless Monitoring of Water Quality and Wave Motion -

- Expected Applications in Water Quality and Marine Environment Monitoring, Climate Prediction, Aquaculture, and Marine Ecosystem Monitoring and Management -

- Published as a Cover Paper in the Prestigious International Journal Advanced Energy Materials (IF: 29.698) -

The research team led by Professor Park Jae-Young of our university's Department of Electronic Engineering has successfully developed a self-powered water quality monitoring sensor IoT platform in the shape of a Brachistochrone bowl, which can wirelessly monitor the characteristics of water in indoor and outdoor swimming pools, including ion concentration, pH, temperature, conductivity, and water wave motion, without the need for batteries. The team integrated four sensors capable of detecting water quality components onto a single flexible substrate. They utilized electromagnetic induction-based energy harvesters to process the signals from the sensors and supply the power required for Bluetooth-based wireless data transmission, which is generated and supplied from the motion of water waves. Additionally, they employed frictional electric nanogenerators to monitor detailed information about the motion of water waves in real time. 

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<Park Jae-Young (left), and Trilochan, Ph.D. candidate (right)>

This research was conducted with the support of the Ministry of Science and ICT (Information and Communication Technology) of the Korean government and the National Research Foundation of Korea (NRF) through the Mid-Career Researcher Program (NRF-2020R1A2C2012820). It was also supported by the Ministry of Trade, Industry, and Energy's Industrial Technology Innovation Program (RS-2022-00154983) for the development of a self-powered sensor platform for low-power sensors and actuators. The research findings were published and selected as a cover paper in Advanced Energy Materials, a leading international journal in energy technology, published by Wiley (Impact Factor: 29.698).

Web link: https://doi.org/10.1002/aenm.202203849

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<Self-powered water quality monitoring sensor IoT platform and key performance graphs>

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<Journal Cover Photo>