Honeywell Acquires Fire Sentry Corporation
News May 24, 2012
Honeywell has announced that it has acquired Fire Sentry Corporation, a privately-held manufacturer of innovative fire detection and control products for a broad range of industrial markets. The terms of the transaction were not disclosed.
Based in Yorba Linda, California, Fire Sentry’s product portfolio consists of fast-responding electro-optical flame detectors, portable test lamps and dedicated control panels that are used by customers in industrial settings such as petrochemical, semiconductor, paint booth/finishing, automobile airbags and munitions plants.
Fire Sentry’s products are designed to ensure rapid, accurate, and reliable detection of both hydrocarbon and non-hydrocarbon fires within a single device.
The acquisition will help Honeywell significantly expand its gas and flame detection, and monitoring solutions and builds on the company’s acquisitions of System Sensor in 1984 and Zellweger Analytics in 2005 among other important acquisitions in the gas detection arena.
The company will be integrated into Honeywell Life Safety and will extend significant synergies in distribution channels, vertical end-markets and global end-users.
“This acquisition will further strengthen Honeywell’s leadership position in the gas detection space by enhancing our competitive gas and flame offering and bolstering our cross-selling opportunities across the globe,” said Mark Levy, president and CEO of Honeywell Life Safety.
Levy continued, “Fire Sentry has a 30-year history of proven fire and flame detection innovation and more than 100,000 units installed worldwide in a wide array of industrial settings. This is a great fit for our Life Safety business and deeply complements our technology advances in gas detection which include an impressive number of technological firsts.”
Fire Sentry’s smart electro-optical radiant energy multi-spectrum and multi-spectral flame detectors and associated products greatly reduce false alarms thanks to its innovative use of patented algorithms.
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