Research on Operating Habits Diagnosis System for Heavy-haul Train Crew Based on Big Data

Mingliang SU

doi:10.13890/j.issn.1000-128x.2020.04.013

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Research on Operating Habits Diagnosis System for Heavy-haul Train Crew Based on Big Data

Research & Development | 更新时间：2021-12-10

- Research on Operating Habits Diagnosis System for Heavy-haul Train Crew Based on Big Data
- Electric Drive for Locomotives Issue 4, Pages: 65-69(2020)
- 作者机构：
  
  1.朔黄铁路发展有限责任公司，河北　肃宁　062350
- 作者简介：
- 基金信息：
- DOI：10.13890/j.issn.1000-128x.2020.04.013
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Mingliang SU. Research on Operating Habits Diagnosis System for Heavy-haul Train Crew Based on Big Data. [J]. Electric Drive for Locomotives (4):65-69(2020)
DOI：

Mingliang SU. Research on Operating Habits Diagnosis System for Heavy-haul Train Crew Based on Big Data. [J]. Electric Drive for Locomotives (4):65-69(2020) DOI： 10.13890/j.issn.1000-128x.2020.04.013.

摘要

针对朔黄铁路机务信息系统产生的海量数据，以乘务员对重载列车操纵行为为重点，使用先进成熟的大数据处理工具，通过开发特定的软件分析系统，客观描述乘务员对重载列车的操纵行为，找出乘务员操纵列车行为中存在的不合理之处，督促其加以改进提高，提升操纵技能。

Abstract

In view of the massive data generated by the locomotive information system of Shuohuang railway, focused on the crew's manipulation of heavy-haul trains, by using advanced and mature big data processing tools, a specific software analysis system was developed to objectively describe the crew's manipulation behavior on heavy-haul trains, find out the unreasonable points in the crew's manipulation of the train, and urge them to improve handling skills.

关键词

重载铁路朔黄铁路平稳操纵行为诊断大数据重载列车

Keywords

heavy-haul railwayShuohuang railwaysmooth operationhabit diagnosisbig dataheavy-haul train

references

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张俊峰. 大数据在铁路机务系统中的应用[J]. 控制与信息技术, 2019 (1): 69-72.

张铁钢. 铁路货运安全大数据功能设计研究[J]. 铁道货运, 2019, 37(10): 6-10.

曹佳峰. 城市轨道交通列车节能操纵策略研究[J]. 铁道运输与经济, 2019, 41(10): 108-113.

段振枢. 操纵方式对重载列车纵向冲动的影响研究[D]. 兰州: 兰州交通大学, 2019.

刘鹏飞, 王开云, 张大伟. 牵引及制动操纵对重载机车轮轨动力作用的影响[J]. 中国铁道科学, 2017, 38(2): 96-104.

余冠华. 基于多属性铁路事故数据集的聚类和关联规则分析方法研究[D]. 北京: 北京交通大学, 2019.

张丽艳, 陈映月, 韩正庆. 基于改进聚类方式的牵引负荷分类方法[J]. 西南交通大学学报, 2020, 55(1): 27-33.

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