机构地区: 广东工业大学信息工程学院
出 处: 《仪器仪表用户》 2009年第4期48-50,共3页
摘 要: 同时采用烟雾传感器,温度传感器和火焰传感器来探测火灾现场,使用神经网络对多个传感器探测到的数据进行处理和识别。仿真结果表明,该多传感器的智能火灾报警器能够比较准确的识别火灾信号,准确性较高,误报率较低。 Smoke sensor, tempreture sensor and flame sensor are combined as a whole to detect the condition. The data, acquired by the multi-sensor, is processed and analysed by the neural network. It is proved that this intellitive fire alarm can identify fire comparetive well and truly. It has relatively high rate of true alarm and low rate of false alarm.
领 域: [自动化与计算机技术] [自动化与计算机技术]