Saving More Lives: How to Design Better Smoke Detectors To Meet New Regulatory Requirements
3 out of 5 deaths result from fires in properties without working smoke alarms, and 23% of deaths are caused by fires where smoke alarms were present, but were intentionally disabled due to false alarms. New UL 217 (8th edition) guidelines aim to reduce these statistics by introducing criteria to reduce nuisance alarms. But how can manufacturers be sure they are meeting this regulatory compliance and preventing the high occurrence of nuisance alarms?
New high performance sensing solutions from ADI are helping smoke and fire detector manufacturers solve these challenges. To address the needs of different customers, a number of solution offerings are available. We will review our new software and algorithm offering, which will help comply with the new regulations and prevent alarm disabling due to nuisance alarms. Tune in to learn more about how to design better smoke detectors and save more lives!
Grainne Murphy is a Marketing Manager with Analog Device’s Industrial and IoT Solutions Group. With over 25 years of engineering experience, she manages customer needs, engagement and marketing/communications strategy for ADI’s key product portfolios and future direction within Intelligent Buildings. She is a University of Limerick, Ireland graduate (BENG) and also holds an MBA from Oxford Brookes University.
Systems Design Engineer
Brandon obtained a Bachelor of Science in Electrical and Computer Engineering from the University of Massachusetts Amherst in 2005. After graduating, he joined Analog Devices in July 2005 as a technical support engineer, where he interfaced with customers and their application challenges. In 2009 Brandon started working on a new reference design program entitled "Circuits from the Lab" in order to adapt to the changing industry trend in which engineers had to do more work with less time and resources available. He has since been primarily working on sensor and precision-based systems and applications designs for the past 10 years while managing a remote engineering team.
Systems Development Group
Travis holds PhD and MS degrees in Electrical and Computer Engineering from WPI. His research was focused on small cell interference modeling, phased-array direction finding, and high performance compute for software-defined radio. He currently works in the System Development Group at Analog Devices Inc. focusing on applications in communications, radar, and general signal processing.