摘要
神朔铁路是国家I级电气化重载铁路,目前神朔铁路上只有一种检查列车行驶过程中轨道状态的工具,即便携式添乘仪(简称添乘仪).与添乘仪配套的数据分析软件是主要分析处理振动加速度数据的工具.但该数据分析软件对振动加速度数据的分析不足,不能满足轨道精细化管理的需求.本文根据轨道状态管理需求分别在空间和时间维度上,建立了两个利用振动加速度数据评价轨道状态的模型:超限密集度模型和超限重复度模型.在神朔铁路运用一年来的结果表明:这两个模型能够更加客观和合理地评价轨道状态,有助于提高养护维修作业的效率和针对性.
Shenshuo railroad is a national I class electrified railway system. It transports coal of ShenFu and DongSheng coal mines to export harbors and it is the second largest coal transportation corridor in China. In Shenshuo railroad, there is only one tool to inspect track condition under train loads. That is the portable vibration acceleration detector. The complementary data analysis software is the main tool to analyze measurements of the detector. Unfortunately, analysis works of this software is limited and cannot meet the track condition refined management＇ s requirements. Based on track condition management needs, two track condition evaluation models were developed in the spatial and time dimensions, respectively. There are defect density model and repetitive detect density model, respectively. Their application experiences in Shenshuo rail-roads demonstrate that they can evaluate track condition objectively and appropriately and thus are helpful to improve the efficiency and relevance.
出处
《北京交通大学学报》
CAS
CSCD
北大核心
2013年第2期124-128,共5页
JOURNAL OF BEIJING JIAOTONG UNIVERSITY
基金
神华集团科研项目资助(T11L00030)
关键词
神朔铁路
轨道状态
评价模型
便携式添乘仪
振动加速度
Shenshuo railroad
track condition
evaluation models
portable vibration detector
vibration acceleration
