一种基于云计算的起重机三维仿真路径规划方法

Cloud-computing-based crane three-dimensional simulation route planning method

Abstract

The invention discloses a cloud-computing-based crane three-dimensional simulation route planning method. Cloud computing is applied in a three-dimensional hoisting simulation system, a computer is responsible for master node computing, and a plurality of computers are responsible for slave node computing, so that a cloud-computing-based three-dimensional hoisting simulation platform is formed. On the platform, with parallel computing advantages of cloud computing, slave node partition is performed on the master node according to degree of freedom of the master node, logically parallel cloud computing is formed among the slave nodes, and the computing real-time performance of the route planning method is ensured while the optimal route is obtained. The system routing speed is improved, the problem that the computing real-time performance during the three-dimensional hoisting simulation process of an automobile crane is bad caused by complicated scene is solved, and the method has an important practical value.
本发明公开了一种基于云计算的汽车起重机三维仿真路径规划方法,将云计算应用于三维吊装仿真系统中,用一台计算机主管主节点运算,多台计算机主管从节点运算,从而构成基于云计算的三维吊装仿真平台。在此平台上,运用云计算的并行计算优势,将主节点按其自由度进行从节点划分,各个从节点之间形成逻辑上的云并行计算,在得到最优路径的同时,使路径规划方法的计算实时性得到保证。提高了系统寻径速度,解决了复杂场景导致的汽车起重机三维吊装仿真过程计算实时性差的问题,具有重要的实用价值。

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