CAJ | 학술논문

针对单一普通型火灾探测器的环境适应性和功能局限性,将多传感器信息融合技术应用于火灾报警系统,实施多个传感器同步探测,全面提取火灾信息.同时,应用智能算法,对提取到的信息进行融合,实现信息的优化,完整地反映环境的信息,准确地预报火灾.在此采用多传感器信息融合方法中的 Bayes 理论,给每类火灾探测器的探测结果分配相应的概率,然后运用 Bayes 理论,进行信息的融合,从而获得最终的判决结果.有效地降低了误报率和漏报率,提高了整个火灾报警系统的可靠性.
침대단일보통형화재탐측기적배경괄응성화공능국한성,장다전감기신식융합기술응용우화재보경계통,실시다개전감기동보탐측,전면제취화재신식.동시,응용지능산법,대제취도적신식진행융합,실현신식적우화,완정지반영배경적신식,준학지예보화재.재차채용다전감기신식융합방법중적 Bayes 이론,급매류화재탐측기적탐측결과분배상응적개솔,연후운용 Bayes 이론,진행신식적융합,종이획득최종적판결결과.유효지강저료오보솔화루보솔,제고료정개화재보경계통적가고성.
Because of environmental adaptability and functional limitations of the single common type fire detector,multi?sensor information fusion technology is applied to the fire alarm system to implement the multi?sensor synchronous detection and fully extract the fire information. The intelligent algorithm is adopted to fuse and optimize the extracted information,so as to completely reflect environment information and accurately forecast the fire. Bayesian theory in the multi?sensor information fusion method is used to assign the corresponding probability to the detected results from each type of the fire detector,and then using Bayesian theory to fuse the information to obtainthe final results,which can effectively reduce the false alarm rate and missing alarm rate,and improve the reliability of the entire fire alarm system.