实时仿真系统的仿真及其与企业自动化控制系统的集成

K. Aksyonov, E. Bykov, O. Aksyonova, A. Nevolina, N. Goncharova
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引用次数: 5

摘要

本文描述了工业企业信息系统中仿真模型的集成方法。我们将集成问题描述为一类基本的模型——实时模型。这些模型可以应用于控制和监测、情况诊断和决策等过程。该方法的核心是多智能体方法。该方法被智能分布式代理进一步扩展。该动态模型包括支持多智能体建模的多智能体资源转换过程主模型,以及基于智能体的建模、离散事件建模和排队系统。为了验证集成模块的技术决策建议,对现有的消息代理进行了分析。我们还提出了主题领域的本体。它可以应用于数据的语义集成,这是模拟业务、技术和物流过程所必需的。为了使系统具有跨平台的可用性,使用了Java语言。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation of the real-time simulation systems and its integration with the automated control system of an enterprise
This work describes the integration method of simulation models used within the information system of an industrial enterprise. We describe the integration problem on a basic class of models - the real-time models. Such models can be applied in such processes as control and monitoring, situation diagnosis and decision making. The core of the method lies in multi-agent approach. The method has been further extended by the intelligent distributed agents. The dynamic model consists of the main model of a multi-agent resources conversion process with support for multi-agent modeling, together with agent-based modeling, discrete-event modeling and queuing systems. To substantiate suggested technical decision of the integration module existing message brokers were analyzed. We also present the ontology of the subject area. It can be applied to semantic integration of data, which is required for the simulation of business, technological and logistical processes. Java language has been used in order to let the system have cross-platform availability.
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