Current affairs Case study – Tyne and Wear FRS
FOCUS
THE ABILITY to record information in real time and transmit it wirelessly via a cloud based network provides local FRSs with the opportunity to bridge the gap between themselves and high risk individuals living in the local area by creating a constant dialogue via the FireAngel Predict cloud based software. This product dates from 2010, when the
company launched a standalone alarm that housed its own diagnostics, and more than 8m of these alarms were installed in homes across the UK by local FRSs. FireAngel was regularly seeing alarms that had been involved in real fires, enabling it to analyse the data on them to identify high risk patterns of behaviour that led to an actual fire event. Following on from this, the patented
technology, FireAngel Predict, was created which featured artificial intelligence to analyse the data recorded in the alarms and identify patterns of high risk behaviour. Monitoring dangerous behaviour as it happens enables the algorithm to prompt a non time critical intervention, which will prevent a fire and subsequent potential fatalities from occurring. At the core of the technology, the system
is continuously evolving and reacting to the date, time and even the weather in order to automatically improve itself and accurately recognise high risk patterns of behaviour and
a potential fire. Mark Ledger, watch manager for prevention and education at Tyne and Wear Fire and Rescue Service (TWFRS), sees this latest connected fire safety technology as providing FRSs and their partner organisations, and also relatives of some of the most vulnerable residents, with the ability to monitor them. TWFRS and its partners can receive real time
updates of the status of all connected alarms within properties, with instant notifications if an alarm is activated or if a person is in potential danger, such as if they have removed an alarm from its base plate. By enabling external monitoring of the
smoke, heat and carbon monoxide alarms within a person’s property through interlinked alarms that report back to a central gateway – which connects to the cloud platform – TWFRS and its partner organisations, as well as relatives of vulnerable individuals, can ensure that they are being adequately protected from potential fire dangers. Therefore, for vulnerable tenants who
may potentially present a greater risk, such as elderly people or those living with dementia or hearing loss, the technology provides additional reassurance to family members, as they can access the app remotely to receive real time updates and notifications on the status of the alarms. FireAngel Predict can detect the risk of a future fire event, helping to avoid the repercussions of fire incidents and protect lives.
Case study continues overleaf
www.frmjournal.com MARCH 2019 39
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