Browsing by Author "Ariba Mazhar, Asad Ullah Rafi and Mukhammad Khasnen"

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    Data analysis in factory 4.0 using PLC, NodeMCU, and MQTT protocol in a cloud-based environment
    (UMT, Lahore, 2023) Ariba Mazhar, Asad Ullah Rafi and Mukhammad Khasnen
    The Final Year Project (FYP) paper delves into the profound implications brought about by the Fourth Industrial Revolution, commonly recognized as Industry 4.0, which has disrupted and revolutionized traditional manufacturing practices. This revolutionary shift entails the assimilation of cutting-edge technologies such as Programmable Logic Controllers (PLCs), Node MCU, and the MQTT (Message Queuing Telemetry Transport)protocol. The primary focus of this study revolves around the comprehensive deployment and comprehensive analysis of a cloud-based system, meticulously engineered to harness the potential of these advanced technologies within the context of a Factory 4.0environment. By leveraging the capabilities of these sophisticated tools, the objective of this research endeavor is to significantly augment real-time data monitoring capabilities, thereby empowering organizations to proactively monitor and analyze critical production data. In doing so, this project aims to propel operational efficiency to new heights while streamlining every facet of the production process, fostering improved decision-making, optimal resource allocation, and seamless coordination among various manufacturing components. The culmination of these efforts is poised to deliver tangible outcomes, bolstering productivity, ensuring quality control, reducing downtime, and ultimately contributing to the overall success and competitiveness of modern manufacturing enterprises.