A Compact‐Sized Fully Self‐Powered Wireless Flowmeter Based on Triboelectric Discharge

Author:

Wan Dong1,Xia Xin1,Wang Haoyu2,He Shaoshuai1,Dong Jiadan3,Dai Jinhong1,Guan Dong4,Zheng Junyu1,Yang Xiya5,Zi Yunlong167ORCID

Affiliation:

1. Thrust of Sustainable Energy and Environment The Hong Kong University of Science and Technology (Guangzhou) Nansha Guangzhou Guangdong 511400 China

2. Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Shatin, New Territories Hong Kong China

3. State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan 430079 China

4. College of Mechanical Engineering Yangzhou University Yangzhou Jiangsu 225127 China

5. Institute of New Energy Technology College of Information Science and Technology Jinan University Guangzhou 510632 China

6. HKUST Shenzhen‐Hong Kong Collaborative Innovation Research Institute Futian Shenzhen Guangdong 518048 China

7. Guangzhou HKUST Fok Ying Tung Research Institute Guangzhou Guangdong 511400 China

Abstract

AbstractFlow sensing exhibits significant potential for monitoring, controlling, and optimizing processes in industries, resource management, and environmental protection. However, achieving wireless real‐time and omnidirectional sensing of gas/liquid flow on a simple, self‐contained device without external power support has remained a formidable challenge. In this study, a compact‐sized, fully self‐powered wireless sensing flowmeter (CSWF) is introduced with a small size diameter of down to less than 50 mm, which can transmit real‐time and omnidirectional wireless signals, as driven by a rotating triboelectric nanogenerator (R‐TENG). The R‐TENG triggers the breakdown discharge of a gas discharge tube (GDT), which enables flow rate wireless sensing through emitted electromagnetic waves. Importantly, the performance of the CSWF is not affected by the R‐TENG's varied output, while the transmission distance is greater than 10 m. Real‐time wireless remote monitoring of wind speed and water flow rate is successfully demonstrated. This research introduces an approach to achieve a wireless, self‐powered environmental monitoring system with a diverse range of potential applications, including prolonged meteorological observations, marine environment monitoring, early warning systems for natural disasters, and remote ecosystem monitoring.

Funder

National Natural Science Foundation of China

Publisher

Wiley

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