摘要
针对传感器数据特点以及传统数据处理方法的不足,提出一种面向船载监控传感网络的复合事件检测模型,并设计相关原型系统.该系统可从大量传感器原始数据中抽取有意义的事件.以船舶舱室温度探测应用为例,对复合事件检测模型进行研究并说明其应用优势.
Aiming at the characteristic of sensor data and the de- ficiency in the traditional data-processing, a model of complex event detection in ship-board surveillance sensor networks is pre- sented, and a prototype system is developed, which can extract the meaningful events from the large of raw sensor data. For ex- ample, the model of complex event detection is researched into temperature detecting in ship compartment, and the result shows its application advantage obviously.
出处
《大连海事大学学报》
CAS
CSCD
北大核心
2012年第2期67-70,共4页
Journal of Dalian Maritime University
基金
中国博士后特别基金项目(201003502)
武汉市青年科技晨光计划项目(200950431206)
中央高校基本科研业务费专项资金盗助
关键词
船载监控传感网络
复合事件检测
信息融合
实时响应
ship-board surveillance sensor networks
complexevent detection
information fusion
real-time re-sponse