摘要
随着国家对新能源汽车强制搭载实时远程监控系统的法规出台,新能源汽车监控数据随着新能源汽车数量的快速增长而呈现增量发展,数据体量的不断增加,导致其存储占用空间的不断增大,从而造成远程监控数据存储成本的不断增加。为减少数据存储占用空间,降低数据存储云资源成本,需要研究一种新的、适合新能源汽车的远程监控数据压缩系统。通过研究一种新能源汽车远程监控数据压缩系统,从技术和经济两方面入手,对该系统的可行性进行探讨,并通过相关手段对数据进行提取、分类、过滤和清洗,然后利用集成数据压缩算法对数据进行压缩处理,处理完成后的数据将重新进行存储并开发对应的数据提取API,供上层业务调用,同时满足实时监控数据压缩执行状态及数据压缩情况,帮助相关工作人员了解并掌握数据压缩情况,对新能源汽车远程监控数据进行压缩,降低存储成本。
With the introduction of national regulations on the mandatory installation of real-time remote monitoring systems for new energy vehicles,the monitoring data of new energy vehicles has shown incremental development with the rapid growth of the number of new energy vehicles.The continuous increase in data volume has led to an increasing storage space,resulting in an increasing cost of remote monitoring data storage.To reduce the space occupied by data storage and reduce the cost of data storage cloud resources,it is necessary to research a new remote monitoring data compression system suitable for new energy vehicles.The author explores the feasibility of a new energy vehicle remote monitoring data compression system from both technical and economic aspects,and extracts,classifies,filters,and cleans the data through relevant means.Then,the integrated data compression algorithm is used to compress the data.The processed data will be re stored and corresponding data extraction APIs will be developed for upper level business calls,Simultaneously meeting the real-time monitoring of data compression execution status and data compression situation,helping relevant staff understand and master the data compression situation,compressing remote monitoring data of new energy vehicles,and reducing storage costs.
作者
陈炼松
张亮
黎飞
班定东
CHEN Liansong;ZHANG Liang;LI Fei;BAN Dingdong(SAIC GM Wuling Automobile Co.,Ltd.,Guangxi Laboratory of New Energy Automobile,Guangxi Key Laboratory of Automobile Four New Features,Liuzhou 545007,China)
出处
《汽车电器》
2024年第1期12-14,共3页
Auto Electric Parts
关键词
新能源汽车
数据
压缩
new energy vehicles
data
compress
