Application: Industrial Automation Digital Twin (Large Scale)+
Description
A digital twin application used for factory automation is a large scale digital representation of a physical manufacturing plant. It integrates various data sources and uses advanced simulation, analytics, and machine learning to optimize factory operations. The digital twin collects real-time data from the factory floor through an array of sensors and IoT devices. This data includes machine performance, production rates, environmental conditions, and equipment status.
Devices
- Temperature sensors, humidity sensors, vibration sensors, pressure sensors, and light sensors. They monitor various environmental and machinery conditions, providing vital data for process monitoring and predictive maintenance.
- Actuators used to control mechanisms or systems, such as opening valves, adjusting machine parts, or starting motors based on instructions from the digital twin.
- Smart Meters and Energy Monitors: These devices measure and report on energy usage in the factory, helping to optimize energy consumption and reduce costs.
- Environmental Monitoring Systems: These systems track environmental factors like air quality, temperature, and humidity, ensuring optimal conditions for both machinery and workers.
KPIs
| KPI | Value |
|---|---|
| DL E2E Packet Latency | Moderate: < 50 ms |
| UL E2E Packet Latency | Moderate: 10 ms - 100 ms |
| DL User Experience Data Rate (Mbps) | Very high data rate: 101 Mbps - 500 Mbps |
| UL User Experience Data Rate (Mbps) | High: 51 Mbps - 100 Mbps |
| Communication Service Availability | Very high: > 99.999% |
| Connection Density | Variable |
| Position Accuracy | Very stringent (1 mm - 10 cm ) |
| Update Frequency | Large scale (100 Hz) |