road engineering,tunnel cleaning robot,intelligent scheduling,cascade optimization ,"/> 隧道清洗机器人智能调度方法

吉林大学学报(信息科学版) ›› 2022, Vol. 40 ›› Issue (3): 431-436.

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隧道清洗机器人智能调度方法

万 利1 , 李振江1 , 陈光勇1 , 曹 倩2   

  1. 1. 山东省交通规划设计院集团有限公司 隧道与地下工程设计分院, 济南 250000; 2. 吉林大学 交通学院, 长春 130022
  • 收稿日期:2021-07-16 出版日期:2022-07-14 发布日期:2022-07-14
  • 作者简介:万利(1980— ), 男, 山东青岛人, 山东省交通规划设计院集团有限公司研究员, 硕士, 主要从事智慧隧道研究, (Tel) 86-13583121175(E-mail)120898981@ qq. com。
  • 基金资助:
    山东省交通运输厅科技计划基金资助项目(KJ-2019-SDSJTT-04); 吉林省自然科学基金资助项目(20190201107JC)

Intelligent Scheduling Method of Tunnel Cleaning Robot

WAN Li1 , LI Zhenjiang1 , CHEN Guangyong1 , CAO Qian2   

  1. 1. Tunnel and Underground Engineering Design Branch, Shandong Provincial Communications Planning and Design Institute Group Company Limited, Jinan 250000,China; 2. College of Transportation, Jilin University, Changchun 130022, China
  • Received:2021-07-16 Online:2022-07-14 Published:2022-07-14

摘要: 针对目前隧道清洗机器人作业调度中采用定时的僵化作业模式, 造成电力、 消防资源浪费, 并干扰驾驶人行车安全问题, 提出一种隧道清洗机器人智能调度方法。 该方法首先依据隧道车流量、 温度、 湿度等影响因素, 形成了对基础设施运营性能时变模型的描述。 在此基础上, 考虑基础设施运营性能、 机器人作业成本、 对隧道交通流的影响等, 构建了隧道清洗机器人调度的级联优化模型, 分别对机器人调度周期及作业时间进行优化, 以实现机器人的高效运营。 将该方法与常用的基于人工经验的定周期调度方法进行实验对比, 结果显示在相同的作业成本下, 该方法的基础设施运营性能较定周期调度方法提高了 6%

关键词: 道路工程, 隧道清洗机器人, 智能调度, 级联优化 

Abstract: At present, the fixed time operation mode is adopted during the job scheduling of tunnel cleaning robot. This would waste the power and the fire resources and affect the driving safety. Aiming at this problem, an intelligent scheduling method of tunnel cleaning robot is presented. Firstly, the time varying operation character of tunnel infrastructure is described according to the influence factors, such as traffic flow, temperature, humidity and so on. Then, considering the operation performance of infrastructure, the operation cost of robot, the impact on tunnel traffic flow and so on, the cascading optimization scheduling model of tunnel cleaning robot is constructed. The scheduling cycle and operation time of cleaning robot are optimized respectively to realize the efficient operation of robot. In the experiment, the proposed method is compared with the commonly used fixed time scheduling method. The results show that at the same operation cost, the infrastructure operation performance increases 6% by using the proposed method compared to the fixed time scheduling method.

Key words:  road engineering')">

 road engineering, tunnel cleaning robot, intelligent scheduling, cascade optimization

中图分类号: 

  • TP391