![]() ![]() It's now time to rewrite the standards on fire detection." "The industry-led research collaboration between Trantek MST and UNSW has significantly accelerated the readiness for deployment. "As an Australian maker of high availability, distributed operations management and control systems Trantek MST is now set to combine the UNSW Wi-Fi breakthrough with video analytic technology and create a new era in fire safety operations, opening the door for diverse application deployments spanning transport, defence and industrial sites, as well as commercial and domestic buildings. ![]() ![]() Trantek MST CEO Leo Ascone said "Traditional sensor methods aren't effective or regularly detect false positives and the facility management operators can't discriminate when a real fire emergency is in progress. The Sydney Harbour Tunnel trial was conducted with the assistance Sydney Harbour Tunnel Company and Trantek MST (systems provider to the tunnel). The project was supported by Innovation Connections, which is part of the Australian Government Entrepreneurs' Programme. Therefore, there is also a much lower cost to operating the system." "With our system, the transmitters and receivers are just sending out a radio signal and there is very little maintenance required. The lenses need to be kept clean and they often need to be properly aligned. "The other thing with cameras is that they need to be carefully maintained. "Existing specialised fire detection cameras can cost around $10,000 to buy, whereas our transmitters and receivers are $100 or even less," said Seneviratne. The Wi-Fi approach should be much cheaper than existing thermal imaging camera technology, and also is easier to maintain. Furthermore, by using an array of transmitters and receivers it can help identify a fire's location within the premises, which can aid emergency services to respond quickly and efficiently. The team believes the system is suitable for a wide range of environments, including industrial and commercial buildings, as well as homes. "What we also add into the system is artificial intelligence to analyse all the data and compare to baseline readings to help determine if there is a real fire occurring." ![]() Specifically, these signatures are captured in the form of wireless channel information. "Smoke and different gases, such as carbon monoxide that can be produced in fire situations, also affect the density of the air and will give distinctive signatures on our readings. In fact, we have experimentally demonstrated that these changes are strongly correlated with the rise or fall of temperature in the environment between transmitter and receiver. "As the air temperature changes, so does its density, and that changes the signature of the reading when we receive the signal. What we have are a transmitter and a receiver and we can monitor the radio signal as it travels through the air," Seneviratne said. "It is basically relatively simple high school physics. The UNSW researchers placed a series of low-cost Raspberry Pi based Wi-Fi transmitters and receivers along the roadway, and a test car was set on fire during a scheduled emergency response training exercise. ![]()
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