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作 者:张瑜[1,2] 车晓波[1,2] 王勇[1,2] 于良杰 ZHANG Yu;CHE Xiaobo;WANG Yong;YU Liangjie(Key Laboratory of Automotive Electronics Technology,Shandong Academy of Sciences Institution of Automation,Jinan 250103,China;Qilu University of Technology(Shandong Academy of Sciences),Jinan 250103,China)
机构地区:[1]山东省科学院自动化研究所汽车电子技术重点实验室,山东济南250103 [2]齐鲁工业大学(山东省科学院),山东济南250103
出 处:《现代电子技术》2019年第3期96-100,共5页Modern Electronics Technique
基 金:山东省重点研究计划项目(2017GGX90101)~~
摘 要:新能源车辆远程监控优化设计系统的远程管理终端系统采用车载信息功能集成方法,完善网络化的智能交通状态体系。云端信息服务平台的数据云存储系统采用创新的云存储服务方法;地图存取服务系统采用多源地理信息处理融合方法,形成动态车辆信息处理融合系统;车辆监控规划系统采用云计算同步方法、大数据模糊关联挖掘方法、集群技术和并行计算方法等,全面释放车辆数据的深层价值。根据国家对于新能源车辆的标准要求,移动车载终端与云端信息服务中心相互配合,对新能源车辆关键技术和海量数据进行研究,实现新能源车辆示范运行的实时监控和智能分析。测试结果表明,该系统可为新能源车辆关联产业建设提供有效数据支撑,为未来新能源车辆的全面推广和资源整合打好基础。The remote management terminal system of new energy vehicle remote monitoring optimization design system adopts the vehicle-mounted information functional integration method to improve the state of networked intelligent transportation system.The innovative cloud storage service method is used in data cloud storage system of cloud information service platform.The multi-source geographic information processing and fusion method is used in map access service system to form the dynamic vehicle information processing and fusion system.The cloud computing synchronization method,big data fuzzy association mining method,cluster technology and parallel computing method are employed in vehicle monitoring planning system to fully release the deep value of vehicle data.According to the national standards for new energy vehicles,the mobile vehicle-mounted terminal is interacted with cloud information service center to study the key technology and mass data of new energy vehicles,and realize the real-time monitoring and intelligent analysis of demonstration operation of new energy vehicles.The test results show this system can provide the effective data support for the construction of new energy vehicles related industry,and lay a foundation for the comprehensive promotion and resource integration of new energy vehicles in the future.
关 键 词:车载信息 功能集成 智能交通 云存储 大数据 模糊关联
分 类 号:TN02-34[电子电信—物理电子学] U469.72[机械工程—车辆工程]
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