超长距离TBM施工运输调度管理系统——以北疆某供水工程为例
Multi-Vehicle Dispatch Management Technology and System Development for Ultra-Long-Distance TBM Tunnels:A Case Study on a Water Supply Project in Northern Xinjiang
全永威 1王利明 2赵海雷 2李凤远2
作者信息
- 1. 新疆水利发展投资(集团)有限公司,新疆 乌鲁木齐 830000
- 2. 隧道掘进机及智能运维全国重点实验室,河南 郑州 450001;中铁隧道局集团有限公司,广东 广州 511458
- 折叠
摘要
为解决超长距离TBM隧洞多车辆行驶风险高、运输效率低、调度管理时效性差等施工难题,分析TBM隧洞施工常见的 4 种多车辆行驶道路模式,即单车道和双车道无轨运输、单线和四轨三线有轨运输.针对不同运输方式和道路模式设计智能调度算法逻辑规则,形成基于蓝牙信号强度的隧道内车辆实时定位及轨迹预测方法,研制具有实时定位、实时语音通话、在线视频等功能的盒体式车载终端,开发具有普适性、通用性和参数化、模块化的长距离隧道施工车辆智能调度管理系统.该系统在北疆某供水工程输水隧洞长距离TBM施工单线有轨运输工况下进行应用示范,实现了多车辆智能防碰撞和语音实时对讲调度,提高了长距离物料运输效率和多车辆行驶安全性.
Abstract
When multiple transportation vehicles traveling in ultra-long tunnel bored by tunnel boring machine(TBM),problems such as high driving risk,low transportation efficiency,and poor timeliness of scheduling management exist.Thus,four common multi-vehicle driving road modes in TBM tunnel construction,i.e.,single-lane and dual-lane trackless transportation,single-line and four-track-three-lane railed transportation,are analyzed.The logic rules of intelligent scheduling algorithm are designed for different transportation and road modes,forming real-time positioning and trajectory prediction methods for vehicles in tunnels based on Bluetooth signal strength.Moreover,the box-type vehicle-mounted terminals with functions of real-time positioning,real-time voice calls,and online video are developed,thus realizing an intelligent dispatching management system for long-distance tunnel construction vehicles with universality,generality,parameterization,and modularization.The system has been applied in a long-distance TBM tunnel of a water supply project in Northern Xinjiang,realizing intelligent anti-collision and voice real-time intercom scheduling of multi-vehicle,and improving the efficiency of the project's long-distance material transportation and multi-vehicle driving safety.
关键词
超长隧洞/隧洞施工/TBM/物料运输/运输调度/防碰撞/蓝牙定位Key words
ultra-long tunnel/tunnel construction/tunnel boring machine/material transportation/transportation scheduling/crashworthiness/Bluetooth localization引用本文复制引用
基金项目
国家重点研发计划(2020YFB2006804)
新疆额尔齐斯河流域开发工程建设管理局科研课题(EQ076/FY057)
中国中铁股份有限公司科技研究开发计划(2020-重大-03)
中铁隧道局集团科技创新计划(隧研合2020-02)
中铁隧道局集团科技创新计划(2020-09)
出版年
2024
NETL
NSTL
万方数据