基于mdd的汽车制造数据验证

Rüdiger Berndt, Peter Bazan, K. Hielscher
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引用次数: 2

摘要

为了满足汽车行业日益增长的个性化需求,大规模定制的概念在过去几年中不断发展。因此,底层数据结构的复杂性一直在稳步增加。在本文中,我们介绍了一种如何借助多值决策图(MDD)确保汽车制造数据一致性的方法。汽车制造应用程序的数据基础不是来自高级模型,因此缺乏结构信息。对于大型的实际应用程序,由于内存限制,即使使用了众所周知的动态变量重排序技术,也无法构造相应的MDD。因此,介绍了三种动态变量重排序方法的组合以及数据编译顺序的排序。使用该算法,现在可以在合理的时间内以较低的内存消耗构建决策图。
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MDD-based Verification of Car Manufacturing Data
In order to satisfy the growing demand for individualization within the automotive sector, the concept of mass customization has been continuously evolving over the past years. As a consequence, the complexity within the underlying data structures has been steadily increasing. In this article we introduce an approach of how to ensure consistency within car manufacturing data with the help of a Multi-Valued Decision Diagram (MDD). The data basis of the car manufacturing application is not derived from higher level models and therefore lacks structural information. For large real world applications, the corresponding MDD cannot be constructed due to memory limitations even if well-known dynamic variable reordering techniques are used. Therefore, a combination of three dynamic variable reordering approaches and the sorting of the sequence of data compilation are introduced. Using this algorithm, the decision diagram can now be constructed with a low memory consumption in reasonable time.
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