IoT-Based Real-Time Monitoring for Industrial Automation

Artificial robotization experienced a paradigm shift because Internet of Things (IoT) technology enables users to track and immediate control artificial processes. This research seeks to study Internet of Things (IoT)powered real-time monitoring systems used in artificial robotization because these systems affect operational efficiency alongside predictive maintenance and decisionrelated functionalities. Uncertified systems become capable of nonstop measurement of vital parameters including temperature and pressure as well as machine performance when applying IoT detectors and sensors together with robust data analytics and computational resources. Real-time data access through analysis helps teams execute rapid decisions thus they can shorten downtimes and boost operational efficiency. An analysis of suitable Internet of Things (IoT) infrastructure structures and communication protocols for simulated environments along with depicted case studies of effective deployments constitutes this paper. The problems related to data security alongside interoperability challenges and scalability issues are pointed out so researchers achieve deeper insight into experimental results. The research establishes that artificial robotization systems developed through Internet of Things technology have the capability to advance intelligence and responsiveness so new advancements in the field are possible.