IoT (Internet of Things)
Last updated 2026.02.13IoT사물인터넷스마트팩토리Smart Factory센서Sensor예지보전Predictive Maintenance엣지AIEdge AI
Definition
IoT (Internet of Things) refers to a technology system where physical objects embedded with sensors, software, and communication technologies collect and exchange data over networks. In manufacturing, it serves as critical infrastructure for real-time data collection and analysis by attaching sensors to production equipment, products, and logistics assets.
Applications in Manufacturing
Foundation of Smart Factory
- Equipment Monitoring: Real-time status tracking by attaching vibration, temperature, and pressure sensors to production line machinery
- Predictive Maintenance: Feeding IoT sensor data into AI models to predict equipment failures in advance
- Quality Control: Automated measurement of product dimensions, weight, and temperature during production to detect defects early
- Asset Tracking: Real-time location tracking of raw materials and finished goods using RFID and GPS tags
Integration with AI
IoT serves as the data source for manufacturing AI. Large volumes of time-series data collected from sensors are used as training data for machine learning models, and edge AI devices enable immediate on-site decision-making.
Key Points
- Real-time Capability: Immediate data transmission and processing within factory networks
- Scalability: Ability to connect hundreds to thousands of sensors simultaneously
- Standardization: Must support manufacturing standard protocols like OPC UA and MQTT
- Security: Requires cyber security enhancement through factory internal network isolation