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Bridging the gap between universities and industry

机译:弥合大学与产业之间的鸿沟

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The distributed control system (DCS) is the most prevalent means of implementing batch and continuous control in the process industry. The DCS platform may also be effectively used for the evaluation and demonstration of innovative algorithms developed at a university. The integrated online advanced controls, diagnostics, data analytics, and process modeling capability of a DCS facilitate university research. This working environment also prepares students for careers in industry. The paper discusses the industrial standards adopted by the DCS that allow students and researchers to concentrate on the application of new control capabilities. External applications such as Matlab can be used with the DCS to explore control and process modeling. In this environment, the student and researchers may take advantage of preconfigured and automated features of the DCS. Process simulations may be integrated into the DCS to create a virtual plant capability that is capable of running faster than real-time. The DCS supports wireless and internet access to the virtual plant which increases ease of use in a lab or pilot plant. The DCS system enables rapid exploration, discovery, and prototyping of process modeling and control technologies in a university environment and deployment in industry.
机译:分布式控制系统(DCS)是在过程工业中实现批量和连续控制的最普遍的方法。 DCS平台也可以有效地用于评估和演示大学开发的创新算法。 DCS的集成在线高级控件,诊断,数据分析和过程建模功能可促进大学研究。这种工作环境还为学生为从事工业职业做好了准备。本文讨论了DCS采用的工业标准,该标准允许学生和研究人员专注于新控制功能的应用。 Matlab等外部应用程序可与DCS一起使用,以探索控制和过程建模。在这种环境下,学生和研究人员可以利用DCS的预配置和自动功能。可以将过程仿真集成到DCS中,以创建虚拟工厂功能,该功能可以比实时运行更快。 DCS支持对虚拟工厂的无线和Internet访问,这增加了在实验室或中试工厂中使用的便利性。 DCS系统可在大学环境中以及工业领域中对过程建模和控制技术进行快速探索,发现和制作原型。

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