火灾监测中基于模糊理论的数据融合方法研究

Research of Data Fusion Method Based on Fuzzy Theory in Fire Monitoring

智能家居中,火灾安全监测是人们关注的热点问题。为了克服单目标传感器监测的局限性,提出一种基于模糊理论的多元信息融合和决策方法。通过将环境温度、烟雾浓度及CO含量作为模糊控制器的输入,利用模糊推理算法进行多元信息综合评判,确保预警结果的准确性和可信度。仿真结果表明,该方法能够较好处理不确定的信息,提高了智能家居火灾监测预警结果的准确性和可信度。

People always have interest in fire safety monitoring in smart homes. In order to overcome the limitation of single sensor monitoring, the method of multivariate data fusion and decision based on fuzzy theory is proposed. By using the environment temperature,smoke concentration and CO as inputs to the fuzzy controller, it performed multivariate information comprehensive evaluation with fuzzy inference algorithm to ensure the accuracy and credibility of the early warning results. The simulation results show that this method can deal with uncertain information better and improve the accuracy and credibility of fire monitoring and early warning results in smart home.