Real-Time IoT Data Analytics for Smart Manufacturing: Leveraging Machine Learning for Predictive Analytics and Process Optimization in Industrial Systems
Keywords:
Internet of Things, machine learningAbstract
As the Internet of Things develops, smart manufacturing uses real-time data for process optimization and predictive analytics. This research analyzes how IoT and ML might boost industrial production and predictive maintenance. Massive volumes of data from industrial IoT devices may improve production, cost, and real-time decision-making. Machine learning is essential to manage, analyze, and comprehend this massive data set.
Smart manufacturing uses real-time IoT data analytics, supervised, unsupervised, and reinforcement learning. Also debated are IoT data stream management and analysis technologies. Machine learning and real-time analytics identify production issues and monitor KPIs to prevent costly downtimes and mistakes. Smart manufacturing predictive maintenance uses IoT data and machine learning models to forecast equipment failures and maintenance needs, reducing downtime, asset consumption, and costs.
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