基于双目定位和同步触发的城市轨道交通工务综合检测车
李军1樊晓东2薛丁维2周航3高涛3陈昌邦3张宜霞3
Urban Rail Transit Engineering Comprehensive Inspection Vehicle Based on Binocular Vision Positioning and Synchronous Triggering
LI Jun1FAN Xiaodong2XUE Dingwei2ZHOU Hang3GAO Tao3CHEN Changbang3ZHANG Yixia3
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作者信息:1.南宁轨道交通运营公司, 530029, 南宁
2.宽衍(北京)科技发展有限公司, 100089, 北京
3.广西轨交智维科技有限公司, 530025, 南宁
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Affiliation:1.Operation Branch of Nanning Rail Transit Group Co., Ltd., 530029, Nanning, China
2.Kuan Yan (Beijing) Technology Development Co., Ltd., 100089, Beijing, China
3.Guangxi Rail Transit Intelligent Operation & Maintenance Technology Co., Ltd., 530025, Nanning, China
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Key words:
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DOI:10.16037/j.1007-869x.2024.04.047
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中图分类号/CLCN:U216.3
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栏目/Col:应用技术
摘要:
[目的]目前城市轨道交通隧道及轨道的工务巡检大多仍采用传统的人工巡检方式,亟需有效提升巡检效率及准确率。[方法]提出了一种基于双目定位和同步触发技术的城市轨道交通工务综合检测车(以下简称“综合检测车”),阐述了该综合检测车的系统架构,并介绍了同步定位模块、供电模块及人机交互模块的功能,以及工务病害故障检测所采用的识别算法。介绍了该综合检测车的定位计算和同步控制技术,并对其在城市轨道交通工程中的实际应用效果进行了分析,对其技术优势进行了总结。[结果及结论]该综合检测车可在2 h内完成城市轨道交通线路隧道及轨道的巡检工作,实现对多类病害故障的智能综合检测。与人工检测相比,其准确率提升了60%,巡检成本降低了30%。
Abstracts:
[Objective] Most urban rail transit tunnel and track work inspection still adopt conventional manual inspection method, which calls for effective improvement on inspection efficiency and accuracy. [Method] A comprehensive inspection vehicle for urban rail transit track work (abbreviated as CIV) based on binocular positioning and synchronous triggering technology is proposed. The CIV system architecture is expounded, as well as the functionality of synchronous positioning module, power supply module and human-machine interaction module, and the recognition algorithm used in track work defect and fault detection. The CIV positioning calculation and synchronous control technology are introduced, the practical application effect in urban rail transit engineering is analyzed, and the technical advantages are summarized. [Result & Conclusion] The CIV can complete the inspection work of urban rail transit line tunnel and track within 2 hours, and carry out intelligent comprehensive detection of many kinds of defects and faults. Compared with manual inspection, the CIV accuracy rate is increased by 60%, and the inspection cost is reduced by 30%.
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