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Easy Development of Industry 4.0 Remote Labs.

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Title: Easy Development of Industry 4.0 Remote Labs.
Authors: Rejón, Carlos, Martin, Sergio, Robles-Gómez, Antonio
Source: Electronics (2079-9292); Apr2024, Vol. 13 Issue 8, p1508, 16p
Subject Terms: INDUSTRY 4.0, ARTIFICIAL intelligence, SUSTAINABLE development, INTERNET of things, TECHNOLOGICAL innovations
Abstract: Acquiring hands-on skills is nowadays key for engineers in the context of Industry 4.0. However, it is not always possible to achieve this in person. Therefore, it is essential to be able to conduct skill acquisition from a remote location. To support the development of remote labs for experimentation, this work proposes the development of an open Industry 4.0 remote platform that can be easily configured and scaled to develop new remote labs for IoT (Internet of Things), cybersecurity, perception systems, robotics, AI (artificial intelligence), etc. Over time, these capabilities will enable the development of sustainable Industry 4.0 remote labs. These labs will coexist on the same Industry 4.0 platform, as our proposed Industry 4.0 remote platform is capable of connecting multiple heterogeneous types of devices for remote programming. In this way, it is possible to easily design open remote labs for the digital transition to Industry 4.0 in a standardized way, which is the main research goal of our In4Labs project. Several users already conducted a series of IoT experiments on our remote Industry 4.0 platform, providing useful recommendations to be included in future versions of the platform. [ABSTRACT FROM AUTHOR]
Copyright of Electronics (2079-9292) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index
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  Data: Easy Development of Industry 4.0 Remote Labs.
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  Data: Electronics (2079-9292); Apr2024, Vol. 13 Issue 8, p1508, 16p
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  Data: <searchLink fieldCode="DE" term="%22INDUSTRY+4%2E0%22">INDUSTRY 4.0</searchLink><br /><searchLink fieldCode="DE" term="%22ARTIFICIAL+intelligence%22">ARTIFICIAL intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22SUSTAINABLE+development%22">SUSTAINABLE development</searchLink><br /><searchLink fieldCode="DE" term="%22INTERNET+of+things%22">INTERNET of things</searchLink><br /><searchLink fieldCode="DE" term="%22TECHNOLOGICAL+innovations%22">TECHNOLOGICAL innovations</searchLink>
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  Data: Acquiring hands-on skills is nowadays key for engineers in the context of Industry 4.0. However, it is not always possible to achieve this in person. Therefore, it is essential to be able to conduct skill acquisition from a remote location. To support the development of remote labs for experimentation, this work proposes the development of an open Industry 4.0 remote platform that can be easily configured and scaled to develop new remote labs for IoT (Internet of Things), cybersecurity, perception systems, robotics, AI (artificial intelligence), etc. Over time, these capabilities will enable the development of sustainable Industry 4.0 remote labs. These labs will coexist on the same Industry 4.0 platform, as our proposed Industry 4.0 remote platform is capable of connecting multiple heterogeneous types of devices for remote programming. In this way, it is possible to easily design open remote labs for the digital transition to Industry 4.0 in a standardized way, which is the main research goal of our In4Labs project. Several users already conducted a series of IoT experiments on our remote Industry 4.0 platform, providing useful recommendations to be included in future versions of the platform. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Electronics (2079-9292) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.3390/electronics13081508
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 1508
    Subjects:
      – SubjectFull: INDUSTRY 4.0
        Type: general
      – SubjectFull: ARTIFICIAL intelligence
        Type: general
      – SubjectFull: SUSTAINABLE development
        Type: general
      – SubjectFull: INTERNET of things
        Type: general
      – SubjectFull: TECHNOLOGICAL innovations
        Type: general
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      – TitleFull: Easy Development of Industry 4.0 Remote Labs.
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            NameFull: Rejón, Carlos
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            NameFull: Martin, Sergio
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            – D: 15
              M: 04
              Text: Apr2024
              Type: published
              Y: 2024
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