摘要
针对现有火灾监控系统大多采用有线传输方式,存在维修更换不便,信息获取方式单一,误报率和漏报率高,系统可扩展性不足等问题,设计开发了基于ZigBee无线通信技术的室内多传感器火灾监控系统。该系统可实现现场温度、一氧化碳、烟雾和火焰等信息参数的远程实时监控。利用基于近邻传播算法改进的径向基神经网络开发了多传感器信息火灾预估模型,系统集成了无线定位、报警、远程图像采集等功能。实验表明,该系统功能完善,成本低廉,实时性高,具备一定的推广应用价值。
A novel indoor multi-sensor fire monitoring system is designed based on the ZigBee wireless communication technology,which can realize remote real-time monitoring,including scene environment information of temperature,carbon monoxide,smoke and flame.A fire predicting model is developed using the multi-sensor information coupled with advanced radial basis function neural network based on the AP algorithm.The designed system integrates wireless location,alarm,and remote image acquisition functions.Experiment shows that the designed system is of certain promotion application cost with multi-function,low cost,high real-time performance
出处
《江南大学学报（自然科学版）》
CAS
2014年第3期264-268,共5页
Joural of Jiangnan University (Natural Science Edition)
基金
国家自然科学基金项目(61275155
61271384)
江苏省自然科学基金项目(BK2011148)
作者简介
李静（1989-）,女,天津人,控制工程专业硕士研究生.
通信作者：黄敏（1974-）,女,辽宁铁岭人,教授,硕士生导师.主要从事光谱图像处理、检测技术等研究.Email：huangmzqb@163.com
