Industrial DevOps

W. Hasselbring, S. Henning, Björn Latte, Armin Möbius, T. Richter, Stefani Schalk, Maik Wojcieszak
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引用次数: 28

Abstract

The visions and ideas of Industry 4.0 require a profound interconnection of machines, plants, and IT systems in industrial production environments. This significantly increases the importance of software, which is coincidentally one of the main obstacles to the introduction of Industry 4.0. Lack of experience and knowledge, high investment and maintenance costs, as well as uncertainty about future developments cause many small and medium-sized enterprises hesitating to adopt Industry 4.0 solutions. We propose Industrial DevOps as an approach to introduce methods and culture of DevOps into industrial production environments. The fundamental concept of this approach is a continuous process of operation, observation, and development of the entire production environment. This way, all stakeholders, systems, and data can thus be integrated via incremental steps and adjustments can be made quickly. Furthermore, we present the Titan software platform accompanied by a role model for integrating production environments with Industrial DevOps. In two initial industrial application scenarios, we address the challenges of energy management and predictive maintenance with the methods, organizational structures, and tools of Industrial DevOps.
工业DevOps
工业4.0的愿景和理念需要在工业生产环境中实现机器、工厂和IT系统的深度互联。这大大增加了软件的重要性,而这恰好是引入工业4.0的主要障碍之一。缺乏经验和知识,投资和维护成本高,以及对未来发展的不确定性,导致许多中小企业对采用工业4.0解决方案犹豫不决。我们建议将工业DevOps作为一种将DevOps的方法和文化引入工业生产环境的方法。这种方法的基本概念是整个生产环境的操作、观察和开发的连续过程。通过这种方式,所有利益相关者、系统和数据都可以通过增量步骤进行集成,并且可以快速进行调整。此外,我们还介绍了Titan软件平台,并提供了将生产环境与工业DevOps集成的角色模型。在两个最初的工业应用场景中,我们使用工业DevOps的方法、组织结构和工具来解决能源管理和预测性维护的挑战。
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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