Intelligent fire detection based on unsupervised learning clustering algorithm of Dignet

An algorithm for intelligent fire detection was proposed, which is based on the Dignet ANN and fuzzy algorithm. The idea and implementation of the detection algorithm were introduced in detail. Method for self-adaptation to environment thresholds and for primary data fusion of multi-type fire detectors were given. The algorithm was successfully tested with European standard experimental fire in laboratory.