Triboelectric nanogenerators based self-powered visualized weight sensor with high accuracy and real time

被引：2
作者：
Shu, Xin [1 ]
Kang, Mengzhe [1 ]
Zhou, Yuankai [1 ]
Cui, Xin [1 ,5 ]
Nie, Jiaheng [1 ,6 ]
Zhao, Zhongying [2 ]
Zhang, Yan [1 ,3 ,4 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Phys, Chengdu 610054, Peoples R China
[2] Sichuan Zhongnong Yixiang Agr Technol Co Ltd, Chengdu 611130, Peoples R China
[3] Chinese Acad Sci, Beijing Inst Nanoenergy & Nanosyst, Beijing 100083, Peoples R China
[4] Univ Chinese Acad Sci, Coll Nanosci & Technol, Beijing 100049, Peoples R China
[5] Chengdu Technol Univ, Sch Mat & Environm Engn, Chengdu 611730, Peoples R China
[6] Chengdu Univ Informat Technol, Xin Gu Ind Coll, Sch Cybersecur, Chengdu 610225, Peoples R China
来源：
NANO ENERGY | 2025年 / 135卷
基金：
中国国家自然科学基金;
关键词：
Triboelectric nanogenerator; Smart agriculture; Weight; Machine learning; PRECISION AGRICULTURE; ENERGY;
D O I：
10.1016/j.nanoen.2024.110624
中图分类号：
O64 [物理化学（理论化学）、化学物理学];
学科分类号：
070304 ; 081704 ;
摘要：
Triboelectric nanogenerators (TENG) based self-powered wireless sensors are emerging and promising sensing devices that enable real-time environmental monitoring. TENG-based Internet of Things (IoT) is one of the key technologies for the environmental monitoring applications in smart and precision agriculture. Here, a selfpowered wireless high accuracy weight monitoring system is developed. A position modulation-based TENGdriven optical transmitter can achieve wireless communication and real-time weight monitoring. This machinelearning-based wireless sensor can achieve accurate real-time weight monitoring, with a recognition accuracy up to 100 %. This sensor architecture could potentially be used in smart agriculture for low-cost and precise monitoring for plants.
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页数：7
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