The Internet of Things (IoT) in Industrial Automation. Industrial Automation, #4
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- FormatePub
- ISBN8227440457
- EAN9798227440457
- Date de parution10/03/2025
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurBig Dog Books, LLC
Résumé
The Industrial Internet of Things (IIoT) is reshaping industries by integrating smart sensors, automation, and data analytics to optimize processes, enhance efficiency, and drive digital transformation. This eBook serves as a comprehensive guide to IIoT, detailing its evolution from traditional IoT, its game-changing impact on industrial automation, and the key technologies driving its success. The book explores:? Evolution of IoT into IIoT - How industries adapted IoT beyond consumer applications to revolutionize manufacturing, logistics, and energy.? Key Components - A deep dive into sensors, gateways, cloud computing, and AI-powered analytics that make IIoT systems efficient and predictive.? Real-World Applications - Case studies of industry leaders like GE, Siemens, and Honeywell leveraging IIoT to cut costs and boost productivity.? Predictive Maintenance - The shift from reactive to data-driven maintenance that reduces downtime and extends asset lifecycles.? Security Challenges & Solutions - Addressing cybersecurity risks with best practices like zero-trust architecture, network segmentation, and AI-driven anomaly detection.? Future Trends - The role of 5G, AI, digital twins, and sustainability in shaping the next generation of industrial automation.
The Industrial Internet of Things (IIoT) is reshaping industries by integrating smart sensors, automation, and data analytics to optimize processes, enhance efficiency, and drive digital transformation. This eBook serves as a comprehensive guide to IIoT, detailing its evolution from traditional IoT, its game-changing impact on industrial automation, and the key technologies driving its success. The book explores:? Evolution of IoT into IIoT - How industries adapted IoT beyond consumer applications to revolutionize manufacturing, logistics, and energy.? Key Components - A deep dive into sensors, gateways, cloud computing, and AI-powered analytics that make IIoT systems efficient and predictive.? Real-World Applications - Case studies of industry leaders like GE, Siemens, and Honeywell leveraging IIoT to cut costs and boost productivity.? Predictive Maintenance - The shift from reactive to data-driven maintenance that reduces downtime and extends asset lifecycles.? Security Challenges & Solutions - Addressing cybersecurity risks with best practices like zero-trust architecture, network segmentation, and AI-driven anomaly detection.? Future Trends - The role of 5G, AI, digital twins, and sustainability in shaping the next generation of industrial automation.
