管理工业自动化项目信息

J. Jekielek
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引用次数: 0

摘要

当今不断改进的工业自动化技术带来了新的设备、系统、解决方案和语义。项目需求变得更大,复杂性、成本、文档和欺诈的水平趋于增加。管理信息对于项目的成功至关重要。本文提供了基于“果壳”学习模型的解决方案,该模型是复杂或模糊概念的简化表示,旨在加速学习过程并延长所获得知识的保留。下面简要回顾一下自动化技术的一些方面。围绕工业项目和自动化的一些陷阱和城市神话被揭开。强调了技术和非技术内容的整合,以及项目“资本”的投入。指出了务实的管理理念和实践。案例研究故事解决了数据集成的挑战,并导致了“元咨询”的概念,在这个概念中,技术和非技术方面被快速评估,从而形成强大、快速参与、基于优先级的解决方案的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Managing Information on Industrial Automation Projects
Today's perpetually improving industrial automation technology brings new equipment, systems, solutions and semantics. Project requirements become greater and the level of complexity, cost, documentation, and humbug tend to increase. Managing information becomes critical for project success. This paper offers solutions based on the use of 'nutshell' learning models that are simplified presentations of complex or vague concepts, designed to accelerate the learning process and extend retention of the acquired knowledge. A brief review of some aspects of automation technologies follows. Some traps and urban myths surrounding industrial projects and automation are unveiled. Needs for integration of technical and nontechnical content, as well as an investment in project's zz hi capital" are stressed. Pragmatic management si__k and practices are pointed out. Case study stories address data integration challenges and lead to a 'meta consulting' concept where technical and non-technical aspects are quickly assessed to form a basis for the powerful, rapid-engagement, priority-based solutions.
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