Research on the Self-powered Wireless Sensor Micro-system Based on the Hybrid Vibration Energy Harvester

被引：0
|
作者：
Xue C. [1 ]
Zhang H. [1 ]
Cui J. [1 ]
Liu D. [1 ]
Cui D. [1 ]
Zheng Y. [1 ]
机构：
[1] Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, North University of China, Taiyuan
来源：
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2021年 / 57卷 / 08期
关键词：
Energy management; Self-powered; Sensor monitoring; Vibration energy harvesting; Wireless transmitting;
D O I：
10.3901/JME.2021.08.057
中图分类号：
学科分类号：
摘要：
The on-line real-time monitoring and fault warning of industrial machinery and equipment are critical in ensuring the safety and improving the efficiency of industrial production. At present, most of the mechanical equipment condition monitoring devices are bulky, high-power consumption and rely on cable or chemical battery power supply. In this paper, a high integrated self-powered wireless sensor micro-system based on the hybrid vibration energy harvester is proposed. The energy harvesting model with hybrid piezoelectric-electromagnetic-triboelectric power generator and energy management circuit is designed to harvest and convert the vibration energy of the mechanical equipment into electric energy for power storage and supply of the whole system. The high-integrated vibration-temperature micro-sensor chip with lower-power signal acquisition and wireless transmission circuits is established. After integration of the energy harvesting model and the micro-sensor with circuits, the experiment of the whole system on the coal cutter is carried out. The results show that the vibration and temperature signals of the coal cutter can be monitored and transmitted wirelessly to the host computer in real time. It also proves that the energy harvesting model in the system can harvest vibration of the coal cutter and convert it into electrical power to drive the system. This research will provide a technical support for the self-powered and wireless development of sensor network nodes in the industrial internet of things. © 2021 Journal of Mechanical Engineering.
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页码：57 / 64
页数：7
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