分布式工业自动化系统:自动通信模式识别

O. Kašpar, M. Radakovic
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引用次数: 2

摘要

现代制造系统必须不断适应多变的客户环境,满足客户的不同期望,并在日益激烈的竞争中保持竞争力。如今,制造工厂非常复杂,在许多情况下是分布式的,由许多具有不同功能的子系统组成,这些子系统交换大量的数据,即事件。在可观察到的故障情况下,事件的数量会大幅增加,并且在系统恢复期间可能导致信息爆炸。我们描述了一些方法来帮助系统用户减轻这种信息爆炸,并介绍了一个基于代理的专家系统建议,该建议将能够为通信模式自动识别中可能出现的新问题提供解决方案。这种专家系统还应向用户提供便于使用的制造工厂流程概述和管理;允许搜索事件模式并简化事件处理。
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Distributed industrial automation systems: Automated communication patterns recognition
Modern manufacturing systems have to continuously adapt to variable custom environment, satisfy to discerning expectations of customers and maintain in the increasing competition. Nowadays, manufacturing plants are very complex, in many cases distributed, composed of many subsystems with different functions that are exchanging a vast amount of data, i.e. events. In the case of observable malfunction, the amount of events grows substantially and during the system resurgence can lead to information explosion. We describe a few methods to help system's users to mitigate this information explosion and introduce an agent-based expert system proposal that will be able to provide a solution to a new arisen problem that is possible to be revealed from automated recognition of communication patterns. Such an expert system should also provide users with user-friendly manufacturing plant processes overview and management; allow searching for event patterns and simplifying the event processing.
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