本文選題：城市軌道交通 + 全自動(dòng)運(yùn)行系統(tǒng)　； 參考：《北京交通大學(xué)》2017年碩士論文

【摘要】：隨著我國(guó)城市軌道交通的不斷發(fā)展,軌道交通線路也越來(lái)越多的采取地面和高架的形式,氣象條件對(duì)軌道交通運(yùn)行的影響也越來(lái)越顯著�，F(xiàn)有城市軌道交通應(yīng)對(duì)方法主要是通過(guò)駕駛員觀測(cè)和天氣預(yù)報(bào)獲取天氣情況,由調(diào)度員設(shè)置臨時(shí)限速。該方法存在無(wú)法準(zhǔn)確掌握天氣影響程度、較大程度降低了運(yùn)行效率、自動(dòng)化水平較低等問題,因此本文通過(guò)分析各類天氣對(duì)城市軌道交通的影響,提出了一種針對(duì)城市軌道交通的復(fù)雜天氣環(huán)境應(yīng)對(duì)方法,主要內(nèi)容包括:(1)分析了幾種氣象條件對(duì)于城市軌道交通的影響,并考慮各類天氣的耦合作用,引入安全服務(wù)水平(Level of Service of Safety, LOSS)的概念作為復(fù)雜天氣環(huán)境影響的度量,提出了基于層次分析的影響評(píng)估方法。(2)為應(yīng)對(duì)各類惡劣天氣,基于現(xiàn)有全自動(dòng)運(yùn)行系統(tǒng)(Fully Automatic Operation System, FAO),構(gòu)建了自動(dòng)天氣響應(yīng)系統(tǒng)(Automatic Weather Response System, AWR)。該系統(tǒng)通過(guò)外部天氣傳感器自動(dòng)采集線路各個(gè)區(qū)域以及列車行駛周圍的天氣信息,通過(guò)天氣信息匯總系統(tǒng)對(duì)各類天氣信息進(jìn)行匯總和上傳,通過(guò)自動(dòng)環(huán)境監(jiān)控系統(tǒng)對(duì)天氣信息進(jìn)行管理和分析,自動(dòng)確定管制措施和建議信息。(3)利用實(shí)驗(yàn)室現(xiàn)有資源搭建了測(cè)試環(huán)境,仿真測(cè)試了不同天氣場(chǎng)景下的自動(dòng)天氣響應(yīng)系統(tǒng)的主要功能。仿真結(jié)果顯示,自動(dòng)天氣響應(yīng)系統(tǒng)可以實(shí)現(xiàn)對(duì)于天氣信息的自動(dòng)分布式采集、集中管理分析以及管制措施的自動(dòng)確定。在惡劣天氣下,相比于傳統(tǒng)方法,列車通行時(shí)間縮短。在極端天氣下,列車自動(dòng)進(jìn)站避災(zāi),天氣轉(zhuǎn)好后,列車自動(dòng)恢復(fù)運(yùn)營(yíng),能夠保障列車的運(yùn)營(yíng)安全和效率。研究結(jié)果表明,本文提出的應(yīng)對(duì)方法能夠?qū)崟r(shí)掌握露天線路的天氣情況和影響程度、提高了列車的運(yùn)營(yíng)效率、減少了人為介入,可以很好的支持復(fù)雜天氣環(huán)境下的FAO系統(tǒng)對(duì)于列車與線路管理,具有良好的效果。
[Abstract]:With the continuous development of urban rail transit in China, more and more rail transit lines take the form of ground and elevated, and the influence of meteorological conditions on the operation of rail transit is becoming more and more significant. The existing coping methods of urban rail transit are mainly to obtain weather conditions through driver observation and weather forecast, and temporary speed limits are set by dispatchers. This method can not accurately grasp the degree of weather impact, greatly reduces the operational efficiency, low automation level and other problems, so this paper analyzes the impact of various weather on urban rail transit. This paper puts forward a method to deal with the complex weather environment of urban rail transit. The main contents include: 1) the influence of several meteorological conditions on urban rail transit is analyzed, and the coupling effect of various weather conditions is considered. This paper introduces the concept of level of Service of Safety Services (LOSS) as a measure of the impact of complex weather environment, and proposes an impact assessment method based on hierarchical analysis (AHP) to deal with all kinds of severe weather. Based on full Automatic Operation system, an automatic Weather Response system, an automatic weather response system, is constructed. The system automatically collects the weather information in every area of the line and around the train through the external weather sensor, and collects and uploads all kinds of weather information through the weather information summary system. Through the automatic environment monitoring system to manage and analyze the weather information, automatically determine the control measures and suggest information. 3) using the existing resources of the laboratory to build the test environment. The main functions of the automatic weather response system under different weather scenarios are tested by simulation. The simulation results show that the automatic weather response system can realize the automatic distributed collection of weather information, centralized management analysis and automatic determination of control measures. In bad weather, train passage time is shorter than the traditional method. In the extreme weather, the train automatically enters the station to avoid the disaster, after the weather improves, the train automatically resumes the operation, can guarantee the train operation safety and the efficiency. The results show that the method proposed in this paper can grasp the weather situation and influence degree of the open-air line in real time, improve the train operation efficiency, and reduce the human intervention. It can support the FAO system in complex weather environment and has good effect on train and line management.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：U298

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 崔新強(qiáng);周小蘭;付佳;代娟;劉靜;;高速鐵路安全運(yùn)行高影響天氣條件等級(jí)標(biāo)準(zhǔn)研究[J];災(zāi)害學(xué);2016年03期

2 翁春慧;;強(qiáng)風(fēng)預(yù)測(cè)預(yù)警設(shè)備在上海軌道交通高架及地面線路中的應(yīng)用[J];城市軌道交通研究;2016年03期

3 張艷兵;王道敏;肖衍;;城市軌道交通全自動(dòng)駕駛的發(fā)展與思考[J];鐵道運(yùn)輸與經(jīng)濟(jì);2015年09期

4 段繼超;高小波;王偉波;;城軌車輛低粘著條件下緊急制動(dòng)減速率研究[J];機(jī)車電傳動(dòng);2015年05期

5 須民健;習(xí)燕;廖強(qiáng);李文鋒;;多數(shù)據(jù)源融合的高速公路氣象識(shí)別方法[J];重慶理工大學(xué)學(xué)報(bào)(自然科學(xué));2015年03期

6 江輝;曾亞光;徐田坤;谷愛軍;蘆毅;翁勇南;邱巍;;強(qiáng)降雨下地鐵過(guò)渡段洞口/車站出入口降水量閾值研究[J];北京交通大學(xué)學(xué)報(bào);2015年01期

7 趙晶晶;;“2013IEEE智能軌道交通”國(guó)際學(xué)術(shù)會(huì)議交流[J];鐵路通信信號(hào)工程技術(shù);2013年05期

8 任安萍;;淺談我國(guó)全自動(dòng)無(wú)人駕駛地鐵的發(fā)展[J];科技視界;2012年25期

9 王偉;張建明;;基于最小系統(tǒng)的CBTC仿真測(cè)試平臺(tái)[J];都市快軌交通;2011年04期

10 胥r，

本文編號(hào)：1806100