物联网环境下的车辆监控信息平台设计

为使车辆管理更加科学化以及合理化,并在提高车辆管理水平的同时减少不必要的开支,需要对车辆监控信息平台进行设计。当前采用的车辆监控信息平台设计方法是利用视频图像对其进行监控,监控过程中由于视频储存占用空间大,无法设置缩小占用空间,导致监控不能及时发送信息,存在监控性能较差,安全性低的问题。为此,提出一种物联网环境下的车辆监控信息平台设计方法。该方法首先对车辆监控信息硬件平台进行设计,硬件平台是由通信平台、数据平台以及信息共享平台三部分构成,利用Adaboost算法对车辆监控信息数据进行提取,以提取的车辆监控信息数据为基础,结合REDD方案的分簇性能将终端监控的信息数据传输至通信平台,最后在通信平台进行信息发布与展示,由此完成对车辆监控信息平台设计。实验结果表明,所提方法可对车辆信息进行全方位安全监控,实现车辆的科学化管理,为车辆监控的发展提供有效依据。

Vehicles Monitoring Information Platform Design Under the Environment of Internet

In order to make the vehicle management more scientific and rational, and improves the management level of the vehicle at the same time to reduce unnecessary spending, need to carry on the design of vehicle monitoring information platform. The current design method of vehicle monitoring information platform is monitored by video image, monitoring process due to the video store to take up the space is large, can not be set to reduce the footprint, lead to monitor can''t send information in time, monitoring performance is poor, monitoring information platform security is low. For this, put forward a kind of Internet environment design method of vehicle monitoring information platform. This method first determine vehicle monitoring information hardware platform is a communication platform, data platform and information sharing platform composed of three parts, and then use Adaboost algorithm to extract of vehicle monitoring information data, based on the extraction of vehicle monitoring information data, combined with REDD scheme of clustering performance, the information of the terminal monitoring data transmission to the communications platform, and finally the communication platform of information distribution and display, the design of vehicle monitoring information platform. The experimental results show that the proposed method can be carried out on the vehicle information comprehensive safety monitoring, so as to realize the scientific management of vehicle for the development of vehicle monitoring provides effective basis.