Issue |
E3S Web of Conf.
Volume 405, 2023
2023 International Conference on Sustainable Technologies in Civil and Environmental Engineering (ICSTCE 2023)
|
|
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Article Number | 02014 | |
Number of page(s) | 9 | |
Section | Renewable Energy & Electrical Technology | |
DOI | https://doi.org/10.1051/e3sconf/202340502014 | |
Published online | 26 July 2023 |
An Automation Designed for Industry 4.0 Using Robotics and Sensors that Based on IoT & Machine Learning
1 Department of Mechatronics Engineering, Chandigarh University, Mohali, India
2 Department of Electronics and Communication Engineering, Chandigarh University, Mohali, India
* Corresponding author: soumyashree1926@gmail.com
Even though there has been significant research conducted on the topic, the idea of the fourth industrial revolution is still not widely acknowledged. The adoption of Industry 4.0 is anticipated to enhance multiple facets of human existence. The integration of Industry 4.0 will influence various stages of production processes, distribution networks, consumers, supervisors, creators of digital systems, and all staff members engaged in the process. This will lead to changes in manufacturing models and business paradigms. This technology enables self-identification, self-configuration, self-diagnosis, and self-optimization in various industries. This study employs the decision tree algorithm to monitor the energy usage of machines and appliances, predict their future behaviour. Upon assessment of the effectiveness of the proposed system and juxtaposing it against current methodologies, it was determined that the system had a 79% efficiency rate. The integration of this technology presents a number of obstacles, such as standardization dilemmas, security risks, difficulties with resource planning, legal considerations, and the necessity of adjusting to evolving business models. The success or failure of Industry 4.0 and its implementation relies entirely on the involvement and cooperation of all participants in the production chain, from manufacturers to end-users.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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