A low power environmental wireless radiation monitoring system by using 920MHz frequency band

Yoshinori Matsumoto, Masatoshi Satoh, Kenzo Ozaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

A wireless radiation monitoring system has been developed using a sensor network and one board-type radiation module. The one board-type radiation module is based on the Pocket Geiger type5 by Radiation-watch.org[1]. The power consumption of the module was reduced to 3 mW to drive the monitoring system by a solar cell. The module is designed to connect a Gvove terminal of Arduino microprocessors. The radiation dose rate was transmitted by wireless modules (Xbee, RF bee, etc.), and collected by the application program. The communication distance of the module was around 40-160 m in a straight-line distance. A novel 920MHz module has been developed by combining the radiation module and a PIC32bit microprocessor. The communication distance by using the module is over 3 km in a straight-line. Software was designed to form a mesh network. Because a lower power radiation detector is required for environmental measurements around the Fukushima nuclear plant, a custom detection ASIC has been designed using a 0.6-μm CMOS process. The power consumption of the circuit was 1.5 mW.

Original languageEnglish
Title of host publication2013 7th International Conference on Sensing Technology, ICST 2013
Pages782-785
Number of pages4
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 7th International Conference on Sensing Technology, ICST 2013 - Wellington, New Zealand
Duration: 2013 Dec 32013 Dec 5

Publication series

NameProceedings of the International Conference on Sensing Technology, ICST
ISSN (Print)2156-8065
ISSN (Electronic)2156-8073

Other

Other2013 7th International Conference on Sensing Technology, ICST 2013
Country/TerritoryNew Zealand
CityWellington
Period13/12/313/12/5

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Signal Processing
  • Electrical and Electronic Engineering

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