面向监控系统的物联网中间件的研究与实现

Research and implementation of a monitoring systemmiddleware for internet of thing

针对目前物联网终端接入量大、数据采集海量化等特点,提出了一种具有数据处理模块的监控系统中间件模型,实现了对"事物"数据的快速过滤、提取、分类和存储,降低了上层应用开发难度。并在物流车监控系统中得到了应用,结合物流车终端节点数据特点和保证实时性的同时,为物流车辆安全行驶提出了一种数据过滤算法,并且定义了多种安全事件,用于警告和预防事故的发生。最后通过测试,取得了良好效果。

In view of the diversity of IoT terminal access device, and massive data collected from terminals, a monitoring system middleware model with data processing module for IoT is proposed to achieve a rapid filtration of data, extraction, classification and storage, which reduces the difficulty of upper application development. And it has been applied in the logistics vehicle monitoring system. Combined with the terminal node data characteristics of logistics vehicles and real time, a data filtering algorithm is presen- ted for logistics vehicle safe driving and a number of security incidents are defined to prevent accidents. Finally, we achieved good results by test.