面向车联网离散独立传感器节点电能信息挖掘与优化算法研究  

Research on Electric Power Information Mining based on Stand-alone Sensor for Internet of Vehicles

作　　者：郑尧军[1] 冯勇[1] 

机构地区：[1]浙江经济职业技术学院,杭州310018

出　　处：《激光杂志》2016年第6期135-138,共4页Laser Journal

基　　金：2013年浙江省科学技术厅基金项目(2013C31077)

摘　　要：近年来对车联网的研究增多,标准化速度也明显加快。随着信息社会的发展,车载设备通信互联的需求明显增加。车载通信不同于传统通信,其传输环境时变性和空间变化都非常迅速,且受制于能源供应。本文基于神经网络模型提出了面向车联网信息的电能信息挖掘算法,可以基于大数据实现车载传感器相关信息的特征提取,并提供驾驶员优化的电能管理方案提高车辆续航时间。测试结果表明所提算法可以提取驾驶员驾驶特征并评估车辆续航能力。该算法未来可用于支持车联网的车载设备设计及智能交通系统中。With the increasing reserch on the vehicles,its standardization develop fast in recent years. Alone with the development of information society,vehicle communications equipments requirements significautly increased. Different from traditional communications,communications within / among vehicles have changing environment and changing space,and the communication is limited by power supply. A neutral network based electric power information mining algorithm is proposed in this paper. The proposed algorithm can extract driving patterns and evaluate the distance left of the electronic car. This algorithm could be applied for equipments for internet of vehicles and intelligent transportation systems.

关 键 词：大数据 优化控制 车联网 

分 类 号：TN91[电子电信—通信与信息系统]