摘要
基于大数据挖掘技术,实时挖掘300多种当今在线销售新能源汽车的16个相关技术数据与市场数据,分析新能源汽车主要技术指标和社会效益指标,了解当今在线销售新能源汽车的现状,提出新能源汽车未来发展存在问题,给出相应的新能源汽车未来发展对策。通过研究得到:目前实时销售的新能源汽车的主要技术指标的平均值、最大值和最小值数据。如新能源汽车纯电续航平均值达到210.3 km(续航最高可达613 km),快充时间平均值为1.7 h(最短时间0.5 h);目前实时销售的新能源汽车的主要社会和市场指标数据。如新能源汽车口碑最好的品牌是比亚迪、市场占有率最高的是比亚迪和丰田;收集整理并分析了国家相关新能源汽车政策和苏州市新能源汽车政策,给出了新能源汽车未来发展的对策。
Based on the big data mining technology,the technical data and market data related to more than 300 kinds of new energy vehicles currently sold online are mined in real time so as to analyze the main technical indicators and social benefit indicators,to obtain an understanding of the current situation of online sales,to find out the problems in the future development and to put forward corresponding countermeasures for the future development of new energy vehicles.By analyzing the big data,the following objectives can be achieved:Obtain the average,maximum and minimum data of the main technical indicators of new energy vehicles currently sold in real time.For example,the average endurance by battery electric vehiclesreaches 210.3 km (up to 613 km) and the average fast charging time is 1.7 h (0.5 h for the shortest);Obtain the main social and market indicators of new energy vehicles currently sold in real time.For example,the brand with the best reputation for new energy vehicles is BYD,and BYD and Toyota have the largest market share;Collect and analyze relevant new energy vehicle policies of the State and Suzhou,and put forward countermeasures for the future development.
作者
顾才东
GU Caidong(School of Computer Engineering,Suzhou Vocational University,Suzhou 215104,China)
出处
《苏州市职业大学学报》
2019年第1期11-15,59,共6页
Journal of Suzhou Vocational University
基金
江苏省高校优秀创新团队资助项目
国家自然科学基金资助项目(61472268)
苏州市社会科学基金资助项目(2018LX084)
关键词
大数据
新能源汽车
技术指标
社会效益指标
发展对策
big data
new energy vehicles
technical indicators
social benefit indicators
development countermeasures