Intelligent Fire Warning System Based on Fuzzy Extension Constraint Algorithm

Abstract

The traditional fire alarm systems sense the temperature change produced fire and take the fire warning. When the space height is too high, and the gas velocity is too big, all the environment factors influence the sensor working, and the induction effect is not good, the early warning cannot be reached. The intelligent fire warning system is proposed and designed based on fuzzy extension constraint algorithm, the detailed system design scheme is obtained. The short fire feature recognition algorithm is presented, and in the characteristics recognition process, the concept of feature space transformation elastic restraint is proposed, the elastic fuzzy matching recognition region is established for the fire pixel feature, and the fuzzy recognition problem caused by small flame features is solved. The intelligent fire detection and warning system is established, and the experiment is taken based on the system, the fire monitoring and detection result show that the new system can avoid the recognition defects when the flame of spark is small, the fuzzy color feature of flame also can be recognized perfectly. It provides a new way for the design of intelligent fire detection system.