The present application relates to the technical field of
smoke alarm, in particular to a kind of intelligent fire-fighting
smoke sensing alarm method and
system based on
Internet of Things, comprising the following steps: installing
spectrum analysis sensor in the key area of building, capture spectrum
signal, according to preset time interval collection
smoke spectrum data, and be transmitted to cloud platform by
Internet of Things network node, unified
data format, generate spectrum dataset.In the present application, by capturing and analyzing the spectral characteristic curve of smoke, different types of smoke can be distinguished, efficient differentiation between
fire smoke and non-
fire smoke is achieved,
false alarm phenomenon is reduced, combined with real-time
environmental data, dynamically adjust the sensitivity of the sensor and the alarm threshold, still can maintain high reliability in complex and variable environment, at the same time, it can trigger
multiple device response synchronously, quickly start
fire sprinkler, smoke exhaust equipment and other mechanisms, and real-time fire
alarm signal is transmitted to relevant departments, shorten the
response time, optimize the linkage effect of fire emergency handling.