传感技术学报2016，Vol.29Issue(12)：1936-1940,5.DOI:10.3969/j.issn.1004-1699.2016.12.026
BP神经网络在巡逻机器人多传感器数据融合中的应用
The Application of BP Neural Network in Patrol Robot's Multi-Sensor Data Fusion*
摘要
Abstract
According to the small monitoring range and much false alarm of traditional surveillance equipment in hazardous chemicals warehouse,a data fusion method base on BP neural network used in patrol robot is proposed, this method firstly collected the original data of temperature,humidity and the concentration of leaked hazardous chemicals in surroundings,and filtered the noise data by pauta criterion,then normalized all data before fuse opera?tion,and finally fused all the data from each sensor by BP neural network. The experimental result indicates that the method greatly improved the patrol robot's detectability of surroundings,and increased the dependability and accu?racy in alarm,also it can be expanded additional sensors easily.关键词
数据融合/机器人/BP神经网络/多传感器Key words
data fusion/robot/BP neural network/multi-sensor分类
信息技术与安全科学引用本文复制引用
黄衍标,罗广岳,何铭金..BP神经网络在巡逻机器人多传感器数据融合中的应用[J].传感技术学报,2016,29(12):1936-1940,5.基金项目
广东省重大平台和科研立项项目(2015KQNCX241) （2015KQNCX241）
广东省大学生科技创新培育专项资金项目(pdjh2016b0998) （pdjh2016b0998）
2016年广州大学华软软件学院院级科研项目(ky201601) （ky201601）
