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Modeling, controlling, and monitoring telerobotics based mine operations as discrete event systems

机译:基于挖掘的矿井作业的建模,控制和监测监控作为离散事件系统

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During the last few decades, there have been significant advances in the area of sensing, computing, communication, and control technologies. These advances have led us to believe that the productivity of underground mining can be significantly improved by the deployment of semiautonomous machines in such operations. It is envisioned that with the help of the next generation of teleoperation technology, an operator in a surface control room will supervise a group of semiautonomous mining machines performing operations in underground mines. These machines may be required to share resources (e.g., intersections, drifts). For collision and deadlock free sharing of these resources, these machines must cooperate with each other. This paper shows the use of discrete event formalism for collision and deadlock free sharing of resources among multiple machines in such operations. In an unstructured environment, like underground mining, completion times of different tasks appear to be stochastic. In order to maximize the productivity of such stochastic operations, dynamic scheduling of these machines is necessary. In this paper, it is shown that dynamic scheduling of the operations of these machines can be achieved by controlling and monitoring telerobotics based underground mine operations as discrete event systems (DES).
机译:在过去的几十年中,传感,计算,通信和控制技术领域已经存在显着进展。这些进步使我们相信通过在此类操作中部署半编制机器,可以显着提高地下采矿的生产率。借助下一代遥操作技术的帮助,表面控制室中的操作员将监督一组半自卫生采矿机,在地下矿山进行操作。这些机器可能需要共享资源(例如,交叉口,漂移)。对于碰撞和死锁免费分享这些资源,这些机器必须彼此合作。本文展示了使用离散事件形式主义进行碰撞和死锁在此类运营中多种机器之间的资源分享。在一个非结构化的环境中,如地下挖掘,不同任务的完成时间似乎是随机的。为了最大化这种随机操作的生产率,需要这些机器的动态调度。在本文中,示出了通过控制和监视基于地下矿井操作的基于地挖掘的地面操作(DES)来实现这些机器操作的动态调度。

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