基于异常粒度及三支决策理论的城市轨道交通道岔整治智能决策系统
文豪1,2杨斌2
Intelligent Decision System for Urban Rail Transit Switch Repairing Based on Abnormal Granularity and Three-way Decision Theory
WEN HaoYANG Bin
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作者信息:1.武汉铁路职业技术学院铁道通信与信号学院,430205,武汉;
2.武汉地铁运营有限公司,430019, 武汉
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Affiliation:Institute of Railway Communication and Signal, Wuhan Railway Vocational College of Technology, 430205, Wuhan, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2021.12.027
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中图分类号/CLCN:U213.6+8
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栏目/Col:研究报告
摘要:
提出异常粒度定义，用于定量评估道岔机械状况。基于异常粒度搭建道岔整治三支决策框架，建立了智能决策系统设计方案及开发实例。基于武汉地铁某实际运营道岔连续2次工电联合检查及测量数据、微机监测相关数据进行仿真试验。仿真试验结果表明：该系统界面友好、操作简单、决策速度快、决策结果高效可靠。
Abstracts:
The definition of abnormal granularity is put forward to evaluate the mechanical state of switch quantitatively, and the framework of three\|way decision for switch repairing is established based on abnormal granularity. Design scheme and development example of intelligent decision system are formulated. Based on the 2 continuous mechanical-electrical joint examination and measured data, relevant data of computer monitoring of certain operating switch in Wuhan Metro, simulation experiment is carried out. Results show that the system demonstrates friendly interface, simple operation, fast decision-making, efficient and reliable decision-making outcome.
引文 / Ref:
文豪，杨斌.基于异常粒度及三支决策理论的城市轨道交通道岔整治智能决策系统[J].城市轨道交通研究，2021，24(12):136.
WEN Hao，YANG Bin.Intelligent decision system for urban rail transit switch repairing based on abnormal granularity and three-way decision theory[J].Urban Mass Transit，2021，24(12)：136.
WEN Hao，YANG Bin.Intelligent decision system for urban rail transit switch repairing based on abnormal granularity and three-way decision theory[J].Urban Mass Transit，2021，24(12)：136.
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