Now, mobile phones to warn of bushfires!
Adelaide, January 22 (ANI): A team of University of Adelaide researchers, using mobile communications technology, is developing a new, low-cost bushfire detection and monitoring system.
The same technology used to send SMS messages on mobile phones could be used to develop an efficient and cost-effective early warning message to authorities and people living in fire-risk areas, according to researchers from the School of Electrical and Electronic Engineering.
Researchers have explained that temperature and humidity sensors connected to a microcircuit can interface with a GPS receiver to warn of impending bushfires and monitor existing ones.
According to senior researcher Dr Said Al-Sarawi, incorporating the remote monitoring system with current and new homes could help prevent bushfires or at least minimise their impact.
"There are numerous alarm and monitoring systems on the market which rely on computers, satellites and humans to detect bushfires, but they all have various shortcomings," he said.
"We need a cost-effective system which can be tailored to a number of communication mediums," he added.
The bushfire monitoring device would cost less than 500 dollars to build, according to Dr Al-Sarawi, and could be used in any place where mobile phone coverage is accessible.
"An alarm message would be transmitted to a mobile phone or SMS server and would be a fully automated process, without having to rely on people," Dr Al-Sarawi said.
"The proposed system can operate independently and for a number of years using solar-powered energy. Its running costs would be very low, with an efficient and accurate exchange of information," he added.
"The only limitation is that it requires the availability of mobile phone coverage," he said.
In a parallel research project, the same team is looking at the potential of wireless-based technology to monitor a property or bushfire site remotely, rather than receiving SMS status alerts.
"By using both mobile networks and the Internet to collect data from different sources, we could develop a much more effective detection and monitoring system," Dr Al-Sarawi said. (ANI)
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