基于多传感器模糊融合的火灾检测

Fire Detetion Based on Multi-sensor Fuzzy Fusion

文章针对单一传感器信息有限导致火灾检测精度低的问题,提出一种模糊融合多种传感器信息的火灾检测方法。以温度、烟雾浓度和红外火焰信号为模糊输入量,构建多信息模糊融合系统,降低误判率,提高火灾检测的鲁棒性,并通过相似规则合并简化模糊系统的推理规则,减小算法计算量,提高火灾检测的实时性。室内环境下的火灾检测实验结果验证了该方法的有效性。

A fire detection method based on fuzzy fusion of multiple sensor information was proposed to address the problem of low fire detection accuracy caused by limited information from a single sensor.Using temperature,smoke concentration,and infrared flame signals as fuzzy inputs,a multi-information fuzzy fusion system was constructed to reduce misjudgment rates and improve the robustness of fire detection.And by combining similar rules to simplify the inference rules of the fuzzy system,the computational complexity of the algorithm is reduced,and the real-time performance of fire detection was improved.The experimental results of fire detection in indoor environments verified the effectiveness of this method.