基于贝叶斯算法的火灾报警系统研究

针对传统的建筑火灾报警系统探测信号单一、功能简单等问题，提出了以单片机作为下位机、LabVIEW作为上位机，采用多种传感器信息融合的贝叶斯算法的火灾报警系统。该系统将贝叶斯融合算法应用于火灾报警探测中，将收集到的火灾数据进行预处理，同时利用MATLAB软件对贝叶斯网络算法的数据融合进行仿真分析。仿真结果表明，该系统能够实时监测建筑内火灾事故相关的环境因素，3个特征量的融合提高了对火灾特征信号响应的均衡度和准确度，进而极大地提高了系统可靠性，为建筑火灾报警系统的设计与应用提供参考。

Research on fire alarm system based on bayesian algorithm

 Aiming at the problems of single detection and simple function of the traditional building fire alarm system, The solution is put forward in this paper that a fire alarm system can be used，which takes MCU as the lower computer, LabVIEW as the upper computer and adopts Bayesian algorithm of multiple sensor information fusion. In this system, Bayesian fusion algorithm is applied to fire alarm detection, and the collected fire data are preprocessed. At the same time, the data fusion of Bayesian network algorithm is simulated and analyzed by using MATLAB software. The simulation results show that the system can monitor the environmental factors related to fire accidents in the building in real time, and the integration of the three characteristic quantities improves the balance degree and accuracy of the response to the fire characteristic signals, thus greatly improving the reliability of the system, which provides a reference for the design and application of the building fire alarm system.