Human-centricity is the core value behind the evolution of manufacturing towards Industry 5.0. Nevertheless, there is a lack of architecture that considers safety, trustworthiness, and human-centricity at its core. Therefore, we propose an architecture that integrates Artificial Intelligence (Active Learning, Forecasting, Explainable Artificial Intelligence), simulated reality, decision-making, and users' feedback, focusing on synergies between humans and machines. Furthermore, we align the proposed architecture with the Big Data Value Association Reference Architecture Model. Finally, we validate it on three use cases from real-world case studies.
翻译：以人为中心是制造业向工业5.0发展的核心价值。然而,缺乏以安全、可信赖和以人为中心为核心考虑的架构。因此,我们建议建立一个整合人造智能(积极学习、预测、可解释的人工智能)、模拟现实、决策和用户反馈的架构,侧重于人与机器之间的协同作用。此外,我们将拟议架构与大数据价值协会参考架构模型相匹配。最后,我们验证了现实世界案例研究的三个使用案例。
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