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变革工业自动化：通过集装箱式可编程逻辑控制器设备实现语音识别控制

Transforming industrial automation: voice recognition control via containerized PLC device.

作者信息

Beňo Lukáš, Kučera Erik, Drahoš Peter, Pribiš Rudolf

机构信息

Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Bratislava, Slovakia.

出版信息

Sci Rep. 2024 Nov 26;14(1):29387. doi: 10.1038/s41598-024-81172-w.

DOI:10.1038/s41598-024-81172-w
PMID:39592689
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11599279/
Abstract

The article discusses the impact of voice recognition and containerization technologies in the industrial sector, particularly on Programmable Logic Controller (PLC) devices. It highlights how voice assistants like Alexa, Siri, Cortana, and Google Assistant are pioneering and pushing the future of human-machine interfaces, with applications moving from smart homes to industrial automation. Containerization, illustrated by Docker, is transforming software deployment practices, offering benefits such as enhanced portability, modular architecture, and improved security when applied to industrial PLCs. The article introduces a novel approach to enhancing human-machine interfaces (HMIs) within industrial applications, leveraging voice recognition and containerization technologies on Programmable Logic Controllers (PLCs). Unlike traditional systems, this article integrates voice assistant with industrial PLCs through a containerized IoT architecture. This innovative framework enables efficient deployment on edge devices, supporting modular, portable, and secure operations aligned with Industry 4.0 and 5.0 paradigms. The study further includes a detailed implementation on microcontrollers and industrial PLCs, validating its application in a controlled laboratory environment and virtual model.

摘要

本文讨论了语音识别和容器化技术在工业领域的影响，特别是对可编程逻辑控制器（PLC）设备的影响。它强调了像Alexa、Siri、Cortana和谷歌助手这样的语音助手如何开创并推动人机界面的未来发展，其应用正从智能家居转向工业自动化。以Docker为例的容器化正在改变软件部署实践，当应用于工业PLC时，它具有增强的可移植性、模块化架构和更高的安全性等优点。本文介绍了一种在工业应用中增强人机界面（HMI）的新颖方法，即在可编程逻辑控制器（PLC）上利用语音识别和容器化技术。与传统系统不同，本文通过容器化物联网架构将语音助手与工业PLC集成在一起。这种创新框架能够在边缘设备上进行高效部署，支持符合工业4.0和5.0范式的模块化、可移植和安全操作。该研究还包括在微控制器和工业PLC上的详细实现，在受控实验室环境和虚拟模型中验证了其应用。

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