alexa A Self-Diagnostic System for Photovoltaic Based Highway Signage Boards and Warning Devices
ISSN: 2169-0316

Industrial Engineering & Management
Open Access

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A Self-Diagnostic System for Photovoltaic Based Highway Signage Boards and Warning Devices

Calvin Low Eu Jin1, Balbir Singh Mahinder Singh2, Micheal Drieberg1, Lim Zi Yi2 and Vasant PM2*

1Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, 32610 Bandar Seri Iskandar, Malaysia

2Department of Fundamental & Applied Science, Universiti Teknologi PETRONAS, 32610 Bandar Seri Iskandar, Malaysia

Corresponding Author:
Vasant PM
Department of Fundamental & Applied Science
Universiti Teknologi PETRONAS
32610 Bandar Seri Iskandar, Malaysia
Tel: +60605 368 8000
E-mail: [email protected]

Received date: February 29, 2016; Accepted date: April 29, 2016; Published date: May 05, 2016

Citation: Jin CLE, Singh BSM, Drieberg M, Yi LZ, Vasant PM (2016) A Self-Diagnostic System for Photovoltaic Based Highway Signage Boards and Warning Devices. Ind Eng Manage 5:189. doi: 10.4172/2169-0316.1000189

Copyright: © 2016 Jin CLE, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited



Federal highways and state roads in Malaysia are sites of most traffic accidents. One contributing factor is the lack of or low visibility of road signage at dangerous bends or road corners. It is very important to have safety warning signage at strategic locations to warn drivers on conditions or hazards ahead by cautioning maximum allowable vehicle speed limit. However, signage boards alone by themselves are not enough. The relevant authorities have added flashing beacons to enhance visibility but the availability of on-grid power supply often hinders their installation. This is now a non-issue with the advent of solar power. With emerging flashing beacon signage scattered over a wide area, there is an operational need to monitor their performance status remotely for timely effective maintenance and repair. This paper describes the development of a smart self-diagnostic algorithm for a wirelessly monitored autonomous solar powered highway flashing beacon.


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