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基于控制图的有轨电车能耗分析方法研究 被引量:1

Research on energy consumption analysis method of tram based on control chart
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摘要 针对传统的有轨电车能耗分析方法缺少对异常数据的判断分析,难以有效发现能耗数据特点以及各数据之间潜在关系等问题,提出结合控制图与灰关联分析法的有轨电车能耗分析集成方法。利用控制图对能耗数据波动情况进行分析,并结合灰关联数据分析算法对影响能耗数据因素进行分析,通过利用已开通运营的广州有轨电车能耗数据进行仿真实验,实验结果表明有轨电车能耗分析法能够更好地对各项能耗数据波动情况进行监测,实现对能耗异常数据识别、找出影响能耗的相关因素,为有轨电车系统节能提供辅助决策,可为已运营的有轨电车系统能耗数据分析提供一定参考。 In view of the lack of judgment and analysis of abnormal data in the traditional tram energy consumption analysis method,and the difficulty of effectively discovering the characteristics of energy consumption data and the potential relationship between data,this paper proposes an integrated method of tram energy consumption analysis combining control chart and grey correlation analysis method.The control chart is used to analyze the fluctuation of energy consumption data,and the grey correlation data analysis algorithm is used to analyze the factors affecting energy consumption data.The simulation experiment is conducted by using the energy consumption data of Guangzhou tram which has been put into operation.The experimental results show that the energy consumption analysis method proposed in this paper can better monitor the fluctuation of energy consumption data and realize the monitoring of energy consumption data,identify abnormal energy consumption data,find out the relevant factors affecting energy consumption,provide auxiliary decision-making for energy saving of tram system,and provide certain reference for energy consumption data analysis of tram system that has been operated.
作者 樊辉 李进明 Fan Hui;Li Jinming(CCCC First Public Bureau Electrification Engineering Co.,Ltd.,Beijing 100083,China)
出处 《信息技术与网络安全》 2020年第1期92-99,共8页 Information Technology and Network Security
关键词 有轨电车能耗 控制图 灰关联分析 数据挖掘 能耗分析 energy consumption of tram control chart grey correlation analysis data mining energy consumption analysis
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