Micieta, B.; Macek, P.; Binasova, V.; Dulina, L.; Gaso, M.; Zuzik, J. Modular Intelligent Control System in the Pre-Assembly Stage. Electronics2024, 13, 1609.
Micieta, B.; Macek, P.; Binasova, V.; Dulina, L.; Gaso, M.; Zuzik, J. Modular Intelligent Control System in the Pre-Assembly Stage. Electronics 2024, 13, 1609.
Micieta, B.; Macek, P.; Binasova, V.; Dulina, L.; Gaso, M.; Zuzik, J. Modular Intelligent Control System in the Pre-Assembly Stage. Electronics2024, 13, 1609.
Micieta, B.; Macek, P.; Binasova, V.; Dulina, L.; Gaso, M.; Zuzik, J. Modular Intelligent Control System in the Pre-Assembly Stage. Electronics 2024, 13, 1609.
Abstract
This paper addresses the approach of fully automated intelligent control systems in production organizations, focusing on intelligent production systems research. The overview highlights a gap in control operations ahead of assembly as single-purpose control machines are frequently employed, which is precisely their drawback. Conversely, there are accurate multipurpose measurement centers that do not provide total quality control over the manufactured parts because of the cost and length of the measuring procedure. The study's primary objective was to create an intelligent modular control system, whose concept enables it to control various components. The purpose of the modular intelligent control system is to keep an eye on each module's quality during the pre-assembly phase. This system ensures exact control over the production process of modules by integrating sophisticated sensors, diagnostic tools, and intelligent control mechanisms. The technology makes it possible to monitor several parameters and important quality features. Integrated sensors and diagnostic technologies identify possible inaccuracies and disparities, guaranteeing prompt diagnosis of issues in specific modules. The system's intelligent control algorithms streamline the production process and guarantee synchronization between individual modules to achieve consistent quality and performance. One advantage of implementing the solution is that, on average, inspection time is reduced by 40 to 60% as compared to the prior manual inspection approach. In addition, full measurement data archiving was made available, and finally, the human element—which introduced a substantial error rate into this process—was removed. This system also helps to increase the project's overall efficiency, predictability, and safety while allowing for quick adjustments by standards and requirements.
Engineering, Industrial and Manufacturing Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
