【摘要】 众所周知,火灾往往给人们带来巨大的损失,而火灾探测器是实现火灾预警的有效措施。目前很多火灾探测器在内部的MCU中设定了火灾报警阈值,只要发生火灾时,火灾探测器达到该阈值,MCU则会驱动报警模块发出持续的声光报警。随着环境日益复杂,单一传感器只能从单个角度去反应环境情况,逐渐不满足人们的需要,需要配置多个传感器去检测火情,从多个角度去反应火灾情况,能更准确的对火灾进行判断,随着数据量的增多,在报警平台采用了多传感器数据融合算法对收到的数据做出分析,判断是否发生火灾,降低火灾误报率,使得火灾检测更加精准。更多还原

【Abstract】 As we all know, fire often brings huge losses to people, and fire detector is an effective measure to realize fire early warning. At present, many fire detectors have set fire alarm threshold in the internal MCU. As long as the fire detectors reach the threshold, MCU will drive the alarm module to issue a continuous sound and light alarm. With the increasing complexity of the environment, a single sensor can only react to the environment from a single point of view, which gradually does not meet people’s needs. It is necessary to configure multiple sensors to monitor the fire situation, to react to the fire situation from multiple angles, and to accurately judge the fire. With the increase of data, we use multi-sensor data fusion algorithm in the alarm platform to detect the number of fires received. According to the analysis, judge whether there is a fire, reduce the false alarm rate of fire, make the fire monitoring more accurate.更多还原