Authors: Dr. Tanmay R. Kulshreshtha
Abstract: The Industrial Internet of Things (IIoT) has emerged as a transformative enabler for advanced manufacturing systems. IIoT involves a network of interconnected devices and machinery embedded with sensors that collect, share, and analyze data across the production value chain. This paper presents the architecture of IIoT-enabled factories, focusing on how real-time data collection and edge computing enhance efficiency, reduce waste, and improve quality control. It highlights the integration of IIoT with cloud platforms and artificial intelligence for predictive analytics, autonomous control, and asset tracking. Case studies from manufacturing sectors demonstrate how IIoT leads to smarter maintenance practices, energy optimization, and reduced downtime. Regulatory and cybersecurity concerns are also analyzed to identify barriers and propose mitigation strategies.
Keywords: Industrial IoT, Sensor Networks Edge Computing, Smart Maintenance, Real-Time Analytics
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