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铁道科学与工程学报

JOURNAL OF RAILWAY SCIENCE AND ENGINEERING

第13卷    第1期    总第70期    2016年1月

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文章编号:1672-7029(2016)01-0152-06
大型养路机械捣固作业维修决策模型研究
徐伟昌

(上海铁路局工务处,上海 200071)

摘 要: 为解决运输需求与养护维修之间的矛盾,以捣固为主的大型养路机械作业已成为有砟轨道维修的有效手段。利用沪昆线浙赣段综合检测数据,分析大型养路机械捣固作业轨道质量评价指数(TQITW)均值和方差随时间的变化规律,发现TQITW均值与时间成线性正相关关系,TQITW方差在初期与时间成线性负相关关系,在后期与时间成线性正相关关系。由此建立TQITW预测模型和维修时机决策模型,给出了“线路维修服务水平”的概念,提出铁路管理部门结合资源情况制定线路维修服务水平,确定大机维修作业周期的方法。并以沪昆下行线检测数据为例进行计算,建议其维修间隔时间为16~18个月之间。

 

关键字: 有砟轨道;大机作业;轨道质量指数;预测模型;养修决策

Maintenance decision model based on large machinery tamping work
XU Weichang

Shanghai Railway Administration Works Department,Shanghai 200071,China

Abstract:For the purpose of solving the contradiction between transportation needs and maintenance works, large machines have been used as an effective way in ballast track, especially the use of tamping machine. Based on comprehensive detection data of Shanghai-Kunming Line in Zhejiang-Jiangxi section, this paper discussed the change rules of the mean value and variance value of Track Quality Index based on large machinery tamping work (TQITW). It has been found that the mean value is linear positive correlation with time while the variance value shows linear negative correlation with time at first and then increases in linear positive way. Therefore the prediction model on maintenance decision making was put forward. And the conception of railway maintenance service level was proposed, on this basis, in consideration of the resource condition, railway administrative department can determine the maintenance interval of large machinery tamping work. The detection data from Shanghai-Kunming downlink was taken as an example for calculating. A suggestion that maintenance interval is between 16 and 18 months was proposed.

 

Key words: ballast track; large machinery tamping work; track quality index; prediction model; maintenance decision

ISSN 1672-7029
CN 43-1423/U

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