Increased reliability by effective use of sensor information: a shop floor application of sensor-aided robotic handling

W. Friedrich
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Abstract

This paper describes the effective use of low level sensor information to increase reliability and safety for a shop floor application of robotic palletising. The reliability of automated machinery in shop floor applications depends to a great extent on how well the system can respond to unpredictable situations. For any robotic installation one crucial factor for reliable and safe operation is The effective use of sensor information. The following article describes the key factors leading to a reliable robotic palletising operation using examples of implementation details. The palletiser is part of a highly flexible automated blending, filling and storage warehouse system at a Wellington (New Zealand) based oil company. Recent improvements based on previous shop floor experience led to a very robust operation capable of dealing with limited container variations using a simple corrective motion strategy. The control architecture is based on a concept of decentralised control differentiating between handling operations, process requirements and communications between host and sub-systems. This concept allows very short set-up times for future changes involving one or more sub-systems. The present system is user-friendly and simple to operate with status and fault messages displayed in plain English. The gantry system has been designed, implemented and commissioned by Industrial Research Limited. The updated handling system has been operating successfully in shop floor production for over two years now.
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通过有效利用传感器信息提高可靠性:传感器辅助机器人处理的车间应用
本文描述了有效地利用低电平传感器信息来提高机器人码垛车间应用的可靠性和安全性。自动化机械在车间应用中的可靠性在很大程度上取决于系统对不可预测情况的反应能力。对于任何机器人装置而言,确保其可靠和安全运行的一个关键因素是有效利用传感器信息。下面的文章使用实现细节的示例描述了导致可靠的机器人托盘操作的关键因素。码垛机是位于惠灵顿(新西兰)的一家石油公司高度灵活的自动混合、填充和存储仓库系统的一部分。根据之前的车间经验,最近的改进导致了非常稳健的操作,能够使用简单的纠正运动策略处理有限的容器变化。控制体系结构基于分散控制的概念,区分处理操作、过程要求以及主机和子系统之间的通信。这个概念允许非常短的设置时间用于涉及一个或多个子系统的未来更改。本系统用户友好,操作简单,状态和故障信息用简单的英语显示。该龙门系统由工业研究有限公司设计、实施和委托。更新后的处理系统已经在车间生产中成功运行了两年多。
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Bandsaw diagnostics by neurocomputing-two are better than one! Increased reliability by effective use of sensor information: a shop floor application of sensor-aided robotic handling Convergent unlearning algorithm for the Hopfield neural network Neural network approaches to cognitive mapping Integrating vision processing and natural language processing with a clinical application
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