基于神经网络的信息融合车场监控系统  

Information Fusion Monitoring of Pit Bottom Based on the Nerve Networks

作　　者：张晓强[1] 王正友[2] 于洪珍[2] 

机构地区：[1]中国矿业大学管理学院,江苏徐州221008 [2]中国矿业大学信息与电气工程学院,江苏徐州221008

出　　处：《江南大学学报（自然科学版）》2006年第4期418-421,共4页Joural of Jiangnan University (Natural Science Edition)　

基　　金：江苏省自然科学基金项目(BK2001073)

摘　　要：首先介绍了车场融合监控的多媒体工作站主界面,建立了系统融合监控的结构模型.然后以机车闯红灯为例,阐述了融合监控的具体实现过程,即系统对来自轨道传感器、图像传感器两路传感信息分别进行时域融合.在此基础上,再进行空域融合,从而给出最终的判决结果.最后对图像融合进行分类识别,并对多网络融合进行了研究.The multimedia workstation information fusion monitoring main interface was introduced and the construction module of the fusion monitoring system was established. Then, with an example that tram runs through red traffic light, the real proceeding of fusion monitoring was described. Namely, the system makes time realm fusion for the image sensor and track sensor separately. Finally, the multimedia workstation makes the space realm fusion for the partial result of the time realm fusion, and thus final verdict result is decided.

关 键 词：神经网络 融合监控 车场 传感器 

分 类 号：TD50[矿业工程—矿山机电] TP277[自动化与计算机技术—检测技术与自动化装置]