AUTOMATING ASSET KNOWLEDGE WITH MTCONNECT.

Sid Venkatesh, Sidney Ly, Martin Manning, John Michaloski, Fred Proctor
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引用次数: 1

Abstract

In order to maximize assets, manufacturers should use real-time knowledge garnered from ongoing and continuous collection and evaluation of factory-floor machine status data. In discrete parts manufacturing, factory machine monitoring has been difficult, due primarily to closed, proprietary automation equipment that make integration difficult. Recently, there has been a push in applying the data acquisition concepts of MTConnect to the real-time acquisition of machine status data. MTConnect is an open, free specification aimed at overcoming the "Islands of Automation" dilemma on the shop floor. With automated asset analysis, manufacturers can improve production to become lean, efficient, and effective. The focus of this paper will be on the deployment of MTConnect to collect real-time machine status to automate asset management. In addition, we will leverage the ISO 22400 standard, which defines an asset and quantifies asset performance metrics. In conjunction with these goals, the deployment of MTConnect in a large aerospace manufacturing facility will be studied with emphasis on asset management and understanding the impact of machine Overall Equipment Effectiveness (OEE) on manufacturing.

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使用mtconnect自动化资产知识。
为了使资产最大化,制造商应该使用从持续收集和评估工厂车间机器状态数据中获得的实时知识。在离散零件制造中,工厂机器监控一直很困难,主要是由于封闭的、专有的自动化设备使集成变得困难。近年来,将MTConnect的数据采集概念应用到机器状态数据的实时采集中已经得到了推动。MTConnect是一个开放、免费的规范,旨在克服车间的“自动化孤岛”困境。通过自动化资产分析,制造商可以改善生产,使其变得精益、高效和有效。本文的重点是部署MTConnect来收集实时机器状态以实现自动化资产管理。此外,我们将利用ISO 22400标准,该标准定义了资产并量化了资产绩效指标。结合这些目标,将研究MTConnect在大型航空航天制造工厂的部署,重点是资产管理和理解机器整体设备效率(OEE)对制造的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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