Sensors ◽  
2014 ◽  
Vol 14 (5) ◽  
pp. 8740-8755 ◽  
Author(s):  
Hua Yu ◽  
Qiuqin Yue ◽  
Jielin Zhou ◽  
Wei Wang

2008 ◽  
Vol 41 (4) ◽  
pp. 109-113
Author(s):  
S.P. Beeby ◽  
R.N. Torah ◽  
M.J. Tudor ◽  
T. O'Donnell ◽  
S. Roy

Sensors ◽  
2019 ◽  
Vol 19 (17) ◽  
pp. 3776 ◽  
Author(s):  
Juan Carlos Rodriguez ◽  
Valeria Nico ◽  
Jeff Punch

Electromagnetic Vibration Energy Harvesting (EM-VEH) is an attractive alternative to batteries as a power source for wireless sensor nodes that enable intelligence at the edge of the Internet of Things (IoT). Industrial environments in particular offer an abundance of available kinetic energy, in the form of machinery vibrations that can be converted into electrical power through energy harvesting techniques. These ambient vibrations are generally broadband, and multi-modal harvesting configurations can be exploited to improve the mechanical-to-electrical energy conversion. However, the additional challenge of energy conditioning (AC-to-DC conversion) to make the harvested energy useful brings into question what specific type of performance is to be expected in a real industrial application. This paper reports the operation of two practical IoT sensor nodes, continuously powered by the vibrations of a standard industrial compressor, using a multi-modal EM-VEH device, integrated with customised power management. The results show that the device and the power management circuit provide sufficient energy to receive and transmit data at intervals of less than one minute with an overall efficiency of about 30%. Descriptions of the system, test-bench, and the measured outcomes are presented.


2015 ◽  
Vol 117 (17) ◽  
pp. 17B509 ◽  
Author(s):  
Jing Qiu ◽  
Yumei Wen ◽  
Ping Li ◽  
Xin Liu ◽  
Hengjia Chen ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document