Industrial Artificial Intelligence: A Predictive Agent Concept for Industry 4.0

Luis Alberto Cruz Salazar, B. Vogel‐Heuser
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Abstract

“Artificial Intelligence in Industry 4.0”, a technical report published by the working groups "Technological and Application Scenarios" and "Artificial Intelligence" (AI) of the Industry 4.0 (I4.0) platform, presents an innovative Industrial AI concept. Above all, it concludes that I4.0 experts and scientists must become accustomed to the behavior of autonomous AI-controlled systems, collaborate with them and comply with learnability requirements (predictability). Industrial AI instantly raises a set of concerns about existing norms and new standardizations. These frequently provide guidelines and, in some cases, offer procedures and implementations using design patterns. One way to produce AI in I4.0 systems is through Industrial Agents (IAs) due to their natural autonomy and additional intelligent characteristics, e.g., reactiveness, proactiveness, and human cooperativeness. Multi-Agent Systems (MASs) are particularly well suited for representing distributable AI that can develop I4.0 components being applied to various I4.0 scenarios. Considering the properties of IAs and the corresponding standards, an MAS architecture is used to understand the aspects of the flexible, intelligent, and automated Cyber-Physical Production System (CPPS). This article proposes a predictive IA for I4.0 (Agent4.0) to an agent-based CPPS architecture, leveraging IA design patterns and logical structure for implementing MAS. As a result, relevant standardized IA design patterns for I4.0 show how MAS can be created with the help of the Industrial AI requirements and Agent4.0 skills (functions) identified.
工业人工智能:工业4.0的预测代理概念
《工业4.0中的人工智能》是由工业4.0 (I4.0)平台的“技术与应用场景”和“人工智能”(AI)工作组发布的技术报告,提出了一个创新的工业人工智能概念。最重要的是,它得出的结论是,工业4.0专家和科学家必须习惯自主人工智能控制系统的行为,与它们合作,并遵守可学习性要求(可预测性)。工业人工智能立即引发了对现有规范和新标准的一系列担忧。它们经常提供指导方针,在某些情况下,还提供使用设计模式的过程和实现。在工业4.0系统中产生人工智能的一种方法是通过工业代理(IAs),因为它们具有天然的自主性和额外的智能特征,例如,反应性、主动性和人类合作性。多智能体系统(MASs)特别适合表示可分布的AI,它可以开发应用于各种I4.0场景的I4.0组件。考虑到IAs的特性和相应的标准,使用MAS架构来理解灵活、智能和自动化的网络物理生产系统(CPPS)。本文为基于代理的CPPS体系结构提出了I4.0的预测IA (Agent4.0),利用IA设计模式和逻辑结构来实现MAS。因此,I4.0的相关标准化IA设计模式显示了如何在工业AI需求和Agent4.0技能(功能)的帮助下创建MAS。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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