IIoT (Industrial Internet of Things)
Last updated 2026.02.13Definition
IIoT (Industrial Internet of Things) refers to interconnected sensors, instruments, and other devices networked together with computers in industrial applications, including manufacturing and energy management. This connectivity enables data collection, exchange, and analysis, facilitating improvements in productivity and efficiency. IIoT is an evolution of distributed control systems (DCS), utilizing cloud computing to refine process controls and achieve higher levels of automation.
Applications in Manufacturing
Real-time Production Monitoring
- Equipment status tracking: Sensors attached to all production line machinery collect real-time data on temperature, vibration, pressure, etc.
- Quality control: Immediate detection of defect indicators during processes with automated corrective actions
Predictive Maintenance with AI Integration
- Large-scale sensor data collected through IIoT analyzed by AI algorithms
- Predict anomaly patterns before equipment failure for planned maintenance
- Maximize production efficiency by minimizing downtime
Process Optimization
- Cloud-based data analysis optimizes energy consumption and raw material usage
- Integrated analysis of multi-plant data for enterprise-wide production strategies
Key Points
IIoT serves as the data foundation for manufacturing AI. AI models require high-quality real-time data for learning and prediction, and IIoT provides the infrastructure. Building an IIoT sensor network is the first step in smart factory implementation, enabling advanced AI applications such as digital twins and machine learning-based quality prediction.