How Virtual Production Intelligence Can Improve Laser-Cutting Planning Processes

How Virtual Production Intelligence Can Improve Laser-Cutting Planning Processes
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DOI:
10.1007/978-3-319-42620-4_70
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发表时间:
2016
期刊:
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影响因子:
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通讯作者:
R. Reinhard;U. Eppelt;Toufik Al-Khawly;Tobias Meisen;Daniel Schilberg;W. Schulz;S. Jeschke
R. Reinhard;U. Eppelt;Toufik Al-Khawly;Tobias Meisen;Daniel Schilberg;W. Schulz;S. Jeschke
中科院分区:
其他
文献类型:
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作者:
R. Reinhard;U. Eppelt;Toufik Al-Khawly;Tobias Meisen;Daniel Schilberg;W. Schulz;S. Jeschke

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现代生产条件的复杂性要求在模拟和分析领域采用综合方法来提高产品质量和生产效率。现有的虚拟生产概念在一定程度上满足了这一需求。但是,应用程序互操作性和数据兼容性的问题仍然存在。一种方法是定义标准化的文件格式,这种格式的创建和维护成本很高。其他方法通过将数据结构映射到规范数据模型来避免对统一标准的需要。尽管这些方法允许对单个元素进行模拟和检查,但对综合过程的分析仍然是一个挑战。在这里,来自数据分析领域的所谓智能解决方案可以证明是有用的。本文介绍了激光切割领域的一个用例场景。其中,激光切割的规划以模块化的形式进行。提出了一个新的概念,解决了上述要求,并符合数据集成和检查的原则。这个新概念被称为虚拟生产智能,它是将虚拟生产的概念与“智能解决方案”或通过分析已经完成的过程获得知识的目标结合起来形成的。
The complexity of modern production conditions demands integrative approaches in the fields of simulation and analysis to improve product quality and production efficiency. Existing concepts of virtual production meet this need to some extent. However, problems of application interoperability and data compatibility remain. One approach is the definition of a standardized file format, which is costly to create and to maintain. Other approaches avoid the need for a uniform standard by mapping data structures onto a canonical data model. Although these methods allow for simulation and examination of individual elements, the analysis of the integrated process remains a challenge. Here, the data analysis solutions from the field of the so-called intelligence-solutions can prove useful. Within this paper, a use case scenario taken from the field of laser cutting is presented. Herein, the planning for laser cutting is conducted in a modular format. A new concept is presented that addresses the requirements aforementioned and that conforms to the principles of the integration and examination of data. The new concept, called Virtual Production Intelligence, is formed by combining the concept of virtual production with “intelligence solutions” or the goal of gaining knowledge through the analysis of already completed processes.