基于控制圖的有軌電車能耗分析方法研究
2020年信息技術(shù)與網(wǎng)絡(luò)安全第1期
樊輝，李進(jìn)明
（中交一公局電氣化工程有限公司，北京 100083）
摘要： 針對(duì)傳統(tǒng)的有軌電車能耗分析方法缺少對(duì)異常數(shù)據(jù)的判斷分析，難以有效發(fā)現(xiàn)能耗數(shù)據(jù)特點(diǎn)以及各數(shù)據(jù)之間潛在關(guān)系等問(wèn)題，提出結(jié)合控制圖與灰關(guān)聯(lián)分析法的有軌電車能耗分析集成方法。利用控制圖對(duì)能耗數(shù)據(jù)波動(dòng)情況進(jìn)行分析，并結(jié)合灰關(guān)聯(lián)數(shù)據(jù)分析算法對(duì)影響能耗數(shù)據(jù)因素進(jìn)行分析，通過(guò)利用已開通運(yùn)營(yíng)的廣州有軌電車能耗數(shù)據(jù)進(jìn)行仿真實(shí)驗(yàn)，實(shí)驗(yàn)結(jié)果表明有軌電車能耗分析法能夠更好地對(duì)各項(xiàng)能耗數(shù)據(jù)波動(dòng)情況進(jìn)行監(jiān)測(cè)，實(shí)現(xiàn)對(duì)能耗異常數(shù)據(jù)識(shí)別、找出影響能耗的相關(guān)因素，為有軌電車系統(tǒng)節(jié)能提供輔助決策，可為已運(yùn)營(yíng)的有軌電車系統(tǒng)能耗數(shù)據(jù)分析提供一定參考。
中圖分類號(hào)：TP9
文獻(xiàn)標(biāo)識(shí)碼：A
DOI： 10.19358/j.issn.2096-5133.2020.01.018
引用格式：樊輝，李進(jìn)明。基于控制圖的有軌電車能耗分析方法研究［J］。信息技術(shù)與網(wǎng)絡(luò)安全，2020,39（1）：92-99.
文獻(xiàn)標(biāo)識(shí)碼：A
DOI： 10.19358/j.issn.2096-5133.2020.01.018
引用格式：樊輝，李進(jìn)明。基于控制圖的有軌電車能耗分析方法研究［J］。信息技術(shù)與網(wǎng)絡(luò)安全，2020,39（1）：92-99.
Research on energy consumption analysis method of tram based on control chart
Fan Hui，Li Jinming
（CCCC First Public Bureau Electrification Engineering Co.,Ltd.,Beijing 100083,China）
Abstract： 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 decisionmaking for energy saving of tram system,and provide certain reference for energy consumption data analysis of tram system that has been operated.
Key words : energy consumption of tram;control chart;grey correlation analysis;data mining;energy consumption analysis
0 引言
近年來(lái)隨著我國(guó)城鎮(zhèn)化率的不斷提高，城市問(wèn)題越來(lái)越凸顯，其中城市的交通壓力問(wèn)題尤顯突出。盡管建造地鐵系統(tǒng)能夠緩解城市一部分的交通壓力，但地鐵較長(zhǎng)的建設(shè)周期和較高的投資成本，使得當(dāng)前我國(guó)地鐵建設(shè)僅局限于少數(shù)大城市，因此需要一種能夠解決大、中型城市交通擁堵和“出行難”問(wèn)題的交通方式。相較于其他的交通方式而言，有軌電車綜合了無(wú)污染、運(yùn)行安全、建設(shè)周期短、投資成本低以及對(duì)城市市容影響小等多種優(yōu)點(diǎn)而受到人們?cè)絹?lái)越多的關(guān)注。各地對(duì)有軌電車的投資建設(shè)也呈不斷增加的趨勢(shì)。因此，為推動(dòng)有軌電車的進(jìn)一步發(fā)展，對(duì)有軌電車系統(tǒng)能耗進(jìn)行分析具有十分重要的意義。
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作者信息：
樊輝，李進(jìn)明
（中交一公局電氣化工程有限公司，北京 100083）
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