Multi-Sensor Data Fusion Algorithm for Indoor Fire Early Warning Based on BP Neural Network

Fire early warning is an important way to deal with the faster burning rate of modern home fires and ensure the safety of the residents’ lives and property. To improve real-time fire alarm performance, this paper proposes an indoor fire early warning algorithm based on a back propagation neural netw...

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Veröffentlicht in:	Information (Basel) Jg. 12; H. 2; S. 59
Hauptverfasser:	Wu, Lesong, Chen, Lan, Hao, Xiaoran
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.01.2021
Schlagworte:	Accuracy Alarm systems Algorithms Back propagation Back propagation networks back propagation neural network Burning rate Carbon dioxide Carbon monoxide Data integration False alarms Fire alarms Fire detection fire detection time Heat Humidity Internet of Things multi-sensor data fusion Multisensor fusion Neural networks Propagation Smoke detectors trend extraction United States > US
ISSN:	2078-2489, 2078-2489
Online-Zugang:	Volltext
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