Smoke Detection System Solution in a Bottle Cap
Three out of five 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!
Barry Mulligan is a marketing manager for the Intelligent Buildings and Infrastructure Group at Analog Devices Limerick, primarily focusing on expanding ADI’s influence in the intelligent building market. He has worked at ADI since 2016. His previous engineering roles include transceiver applications engineer for 5G base stations and supply chain planner for the RF product range at ADI. He also worked as a mechanical, electrical, and plumbing engineer for design consultants Arup before joining ADI and spent a year working in Minnesota for Windlogics, a wind energy consultancy firm.
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 Collins holds Ph.D. and M.S. degrees in electrical and computer engineering from WPI. His research focused on small cell interference modeling, phased array direction finding, and high performance computation for software-defined radio. He currently works in the System Development Group at Analog Devices, focusing on applications in communications, radar, and general signal processing.