基于人工智能的道岔健康度评估方法与评估系统建设路径研究*
刘文涛黄子辉潘庆球张滔黄新义
Evaluation Method of Turnout Health and Construction Path of Evaluation System Based on Artificial Intelligence
LIU WentaoHUANG ZihuiPAN QingqiuZHANG TaoHUANG Xinyi
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作者信息:广州地铁集团有限公司，510335，广州
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Affiliation:Guangzhou Metro Group Co., Ltd., 510335, Guangzhou, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2020.10.036
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中图分类号/CLCN:U213.6+8
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栏目/Col:应用技术
摘要:
分析了轨道交通道岔健康度评估现状，提出了道岔健康度评估的总体发展思路和方法。基于对道岔健康度影响因素分析，提出选取道岔转辙机功率曲线作为道岔健康度评估载体；阐述了人工智能卷积神经网络结构算法及其应用于道岔故障分析判断的机制机理。提出了基于人工智能的道岔健康度评估系统的建设路径。
Abstracts:
The current status of rail transit turnout health evaluation is analyzed, an overall development methodology and direction of turnout health evaluation is proposed. Based on the analysis of influencing factors of turnout health, the power curve of switch machine is selected as the evaluation carrier. Then, the architecture of artificial intelligence algorithm convolutional neural network, its application mechanism in turnout fault analysis and judgment are elaborated. The construction path of turnout health evaluation system based on artificial intelligence is proposed.
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