工业自动化领域仿真模型的语义设计与集成

Petr Novák, R. Šindelář
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引用次数: 5

摘要

模拟是接近和预测真实工业工厂行为的软件工具。与真实植物不同的是,利用模拟不会造成破坏,并且在一系列实验中节省了时间和成本。当前仿真模型的一个缺点是复杂的运行时集成到传统工业系统和平台中,以及特设设计阶段,引入了手动和容易出错的工作。本文有助于提高仿真模型设计和集成的效率。它利用语义知识库,由本体及其映射实现。集成使用自动化服务总线,本文解释了如何从语义上配置运行时集成级别。主要贡献是服务总线的语义配置概念以及仿真设计和集成的工作流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Semantic design and integration of simulation models in the industrial automation area
Simulations are software tools approximating and predicting the behavior of real industrial plants. Unlike real plants, the utilization of simulations cannot cause damages and it saves time and costs during series of experiments. A shortcoming of current simulation models is the complicated runtime integration into legacy industrial systems and platforms, as well as ad-hoc design phase, introducing manual and error-prone work. This paper contributes to improve the efficiency of simulation model design and integration. It utilizes a semantic knowledge base, implemented by ontologies and their mappings. The integration uses the Automation Service Bus and the paper explains how to configure the runtime integration level semantically. The main contributions are the concept of semantic configuration of the service bus and the workflows of simulation design and integration.
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