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2021, 02, v.19;No.72 119-125
智能铁路客运站2.0总体框架及应用研究
基金项目(Foundation): 中国铁道科学研究院集团有限公司重大课题(2018YJ102)
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摘要:

为深化新信息技术在铁路客运站的创新应用,进一步推动智能铁路客运站的总体发展,本文基于已建设的智能铁路客运站1.0系统(智能客运站旅客服务与生产管控平台)应用现状,以未来智能化需求为导向,提出了智能铁路客运站2.0的总体目标、设计理念、典型特征和技术框架,并给出了基于信息物理融合系统(CPS)的智能铁路客运站2.0系统结构。然后,结合车站实际业务需求及运营痛点,深入研究快速安检、智能问询和客流预测等智能铁路客运站2.0典型应用场景的关键技术,实现信息技术与客运站运营管理、旅客服务的深度融合。最后,通过搭建智能铁路客运站2.0智能安检平台环境,开展了行李X光图像智能判别试验,证实智能铁路客运站2.0的可行性和有效性。

Abstract:

Guided by future intelligent needs for railway passenger stations, we present the overall goal, design concept, typical features, and technical framework of intelligent railway passenger station 2.0. Our goal is to deepen the innovative application of new information technology in railway passenger stations and further promote the overall development of intelligent railway passenger stations. The architecture of intelligent railway passenger station 2.0 of CPS was presented on the basis of the intelligent railway passenger station 1.0 system(passenger service and production control platform of intelligent railway passenger station). In combination with the actual business needs of the station and the pain points of the operation, the key technologies of the typical application scenarios of intelligent railway passenger station 2.0(e. g., rapid security inspection, intelligent inquiry, and passenger flow prediction) were thoroughly studied to realize a deep integration of information technology into the railway station. Finally, a test of X-ray intelligent discrimination was conducted through the construction of an intelligent security environment, which proves the feasibility and effectiveness of intelligent railway passenger station 2.0.

参考文献

[1]王同军.中国智能高铁发展战略研究[J].中国铁路,2019(1):9-14.

[2]耿枢馨,姜惠峰.欧洲的数字化铁路发展[J].综合运输,2017,39(10):31-34.

[3]聂宁,官科,钟章队.德国铁路4.0战略[J].中国铁路,2017(5):86-90.

[4]王同军.智能铁路总体架构与发展展望[J].铁路计算机应用,2018,27(7):1-8.

[5]张春家,史天运,吕晓军,等.铁路智能客运车站总体框架研究[J].交通运输系统工程与信息,2018,18 (2):40-44.

[6]史天运,张春家.铁路智能客运站系统总体设计及评价[J].铁路计算机应用,2018,27(7):9-16.

[7]傅迪,吕晓军,王静,等.铁路客运车站旅客服务系统研究[J].铁路计算机应用,2008,17(11):12-15.

[8]史天运,刘军,李平,等.铁路大数据平台总体方案及关键技术研究[J].铁路计算机应用,2016,25 (9):1-6.

[9]KIM K D,KUMAR P R.Cyber-physical systems:a per-spective at the centennial[J].Proceedings of the IEEE,2012,100:1288-1308.

[10]陶永,闫学东,王田苗,等.面向未来智能社会的智能交通系统发展策略[J].科技导报,2016,34(7):48-53.

[11]张宁,路红英,张海滨,等.基于人工智能的铁路车辆自动判别方法的研究[J].铁道学报,2000,22(6):46-49.

[12]胡伊菁,司凤玲.CPS在轨道交通领域的应用分析[J].电脑知识与技术,2016,12(26):226-228.

[13]吴皓,李文静,田国会,等.室内环境中人穿携物品归属关系自主学习框架[J].浙江大学学报:工学版,2019(7):1315-1322.

[14]周桐,张锐,刘进.车站手持移动到站补票系统技术方案研究[J].铁路计算机应用,2015(12):25-27.

[15]李政,化小刚,王永峰.基于人脸识别的刷脸检票技术研究与实现[J].铁路计算机应用,2018(3):33-36.

基本信息:

中图分类号:U291.6

引用信息:

[1]彭凯贝,史天运,伍柳伊.智能铁路客运站2.0总体框架及应用研究[J],2021,19(02):119-125.

基金信息:

中国铁道科学研究院集团有限公司重大课题(2018YJ102)

投稿时间:

2020-07-06

投稿日期(年):

2020

终审时间:

2020-10-23

终审日期(年):

2020

审稿周期(年):

1

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