Lift(数据挖掘)
模块化设计
运动规划
障碍物
规划师
工程类
机器人学
集合(抽象数据类型)
计算机科学
移动机器人
塔式起重机
避障
机器人
模拟
运输工程
人工智能
操作系统
法学
程序设计语言
数据挖掘
结构工程
政治学
作者
Kamyab Aghajamali,Ala Nekouvaght Tak,Hosein Taghaddos,Ali Mousaei,Saeed Behzadipour,Ulrich Hermann
出处
期刊:Journal of the Construction Division and Management
[American Society of Civil Engineers]
日期:2023-07-01
卷期号:149 (7)
标识
DOI:10.1061/jcemd4.coeng-13109
摘要
The trend toward more compact designs and congested site layouts makes it challenging for lift planners to provide feasible lift paths for mobile cranes, confronting the added risk of potential collisions when maneuvering through on-site obstacles. In some cases, particularly in congested industrial modular projects, it is inevitable for mobile cranes to walk with loads to a position with sufficient clearance to perform the lifts and place the objects in their final set position. This study contributes to the body of knowledge by introducing a comprehensive lift planning framework to plan complicated lifts involving mobile crane walking operations. Due to the lack of reliable and accurate plans for such lifts in practice and the added complexities, they are often eluded by practitioners compared with the more straightforward pick-and-set scenarios. This study proposes an algorithm for optimized planning of crane walking–involved lift operations borrowing an obstacle avoidance technique from robotics. The proposed path planner thoroughly considers site constraints and crane configurations to prevent collision between the crane body and the load with preinstalled objects. Actual case studies are presented to validate the efficiency of the proposed algorithm. The system generated the presented real-world lift in less than 5 min, satisfying the operations’ optimality, safety, and feasibility.
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