Open AccessEnergy storage solution for wireless sensor network used in bridge surface corrosion monitoring
Author(s) -
Fujimoto T.,
Uto S.,
Ishizuka Y.,
Fujishima T.,
Guan C.E.,
Okumatsu T.,
Sugimoto S.,
Iwasaki S.
Publication year - 2019
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2019.1875
Subject(s) - rectifier (neural networks) , wireless sensor network , energy storage , electrical engineering , supercapacitor , energy harvesting , power (physics) , energy (signal processing) , wireless , engineering , bridge (graph theory) , electronic engineering , computer science , telecommunications , capacitance , computer network , electrode , physics , medicine , stochastic neural network , quantum mechanics , machine learning , recurrent neural network , artificial neural network
This Letter presents a radio‐frequency energy storage solution for monitoring corrosion on bridge in wireless sensor network system. In this monitoring system, wireless terminals and sensors are installed on the bridges to monitor surface corrosion remotely. The proposed energy storage module to supply power to the sensors consists of a rectifier, a supercapacitor, and a DC–DC boost converter. The rectifier circuit is designed to convert 920 MHz RF energy to DC source. Experimental results demonstrate that the harvested energy can power up the sensor nodes for several times in a week, at input power density of 0.81 μW/cm 2 .