Wireless sensor node with hybrid energy harvesting for air-flow rate sensing

Yushen Hu, Jingchi Yang, Ziyu Huang, Robert Sokolovskij, Fei Wang

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

This paper presents a hybrid-powered wireless sensor node using enhanced triboelectric nanogenerator (TENG) as both energy harvester and air-flow sensor and two 11 cm2 solar panels as extra power supply. A low budget commercial RF microcontroller is included for data conversion, signal processing and wireless transmission. The method of flow-rate detection depends on the vibration frequency of the film inside the triboelectric generator. Experiment results show that this flow sensor is capable of detecting flow rate from 7.6 m/s to 17.1 m/s, with a standard deviation of 3.4, 3s setup time and 30s charge time. With a Raspberry Pi, the wireless signal can be received and delivered to Internet and therefore, can be monitored easily from any portable terminal with internet-access.

Original languageEnglish
Title of host publicationProceedings of IEEE Sensors Conference 2017
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1-3
Number of pages3
ISBN (Electronic)978-1-5090-1012-7
ISBN (Print)978-1-5090-1013-4
DOIs
Publication statusPublished - 2017
EventIEEE SENSORS 2017 - Glasgow, United Kingdom
Duration: 29 Oct 20171 Nov 2017
http://ieee-sensors2017.org/

Conference

ConferenceIEEE SENSORS 2017
CountryUnited Kingdom
CityGlasgow
Period29/10/171/11/17
Internet address

Keywords

  • energy harvester
  • flow sensor
  • hybrid-powered
  • WSN

Fingerprint

Dive into the research topics of 'Wireless sensor node with hybrid energy harvesting for air-flow rate sensing'. Together they form a unique fingerprint.

Cite this