摘 要：为响应政府对企业新能源车辆监管平台建设的要求，本文开发一种新能源客车大面积聚集停放检测系统。先通过Hive构建数据仓存储车载终端上传的数据。再筛选离线超过指定天数，且SOC大于指定值的车辆信息，并以此作为分析样本集。最后基于DBSCAN算法识别车辆样本集，输出超过设定聚集停放车辆数的车辆集群信息。
关键词：新能源客车；大面积聚集停放；检测系统；DBSCAN算法
中图分类号：U469.7；TP274 文献标志码：A DOI：10.15917/j.cnki.1006-3331.2025.02.003
A Detection System of Large Area Clustered Parking for New Energy Buses
YANG Kai,YE Biao,XIE Jinhuan,LI Xiang,WANG Jiangwei,WANG Xinyuan
Abstract: In response to the government's requirements for constructing enterprise supervision platforms for new energy vehicles,this paper develops a detection system of large area clustered parking for new energy buses.First,building a data warehouse through Hive to store data uploaded by vehicle terminals.Then,screening the filter vehicle information that has been offline for more than a specified number of days and its SOC greater than a specified value,and use this as the analysis sample set.Finally,based on the DBSCAN algorithm,identifying the vehicle sample set and output information on vehicle clusters where the number of parked vehicles exceeds the set aggregation threshold.
Key words: new energy bus; large area clustered parking; detection system; DBSCAN algorithm
