This article investigates the critical role of the Internet of Things (IoT), and specifically its industrial segment—the Industrial Internet of Things (IIoT)—in transforming modern automation systems. It examines the fundamental concepts of IoT/IIoT, their architecture, and the technological components that enable an unprecedented level of data collection, analysis, and exchange within the manufacturing environment. The paper details the benefits of IIoT implementation, including enhanced efficiency, optimized maintenance through predictive analytics, improved safety, and the creation of more flexible production processes within Industry 4.0. Special attention is given to methodologies for integrating IIoT devices, collecting and processing big data, and applying machine learning to extract valuable insights. Key challenges such as cybersecurity, interoperability, and scalability are discussed, along with approaches to overcome them. The article concludes that IIoT is a cornerstone for building the "smart factories" of the future, capable of self-optimization and adaptation.
| Mualliflar | Ubaydullayeva, Shakhnoza, Gaziyeva, R. |
|---|---|
| Jurnal | Sustainable Agriculture |
| Nashr sanasi | 2025-10-01 |
| Jild | 27 |
| Son | 3 |
| Betlar | 12-15 |
| Til | Ingliz |
Industrial Internet of Things (IIoT), Internet of Things (IoT), Industrial automation systems, Industry 4.0, Predictive maintenance, Big Data, Machine learning, Cyber-Physical Systems, Digital Twin, Sensor networks
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