Application: Digital Twin City (Massive Scale)
Description
A digital twin application for a city is an advanced, comprehensive simulation model that represents a real-world urban environment in a digital format. This technology integrates data from various sources, including IoT sensors, geographic information systems (GIS), and urban databases, to create a dynamic, virtual replica of the city. This model enables urban management and planning, offering a real-time, data-driven approach to understanding and improving the complex dynamics of urban environments
Devices
- Environmental Sensors: Data on air quality, temperature, and pollution levels from these sensors are crucial for modeling environmental conditions and assessing the impact of urban policies on the city's environmental health.
- Traffic and Transportation Sensors: Information on traffic flow, vehicle speeds, and congestion levels helps create a real-time model of the city's transportation network, aiding in traffic management and planning.
- Noise Sensors: These sensors provide data that can be used to address noise pollution and its impact on urban living.
- Structural Health Sensors: The data from these sensors are important for assessing the integrity and safety of buildings and infrastructure within the digital twin, helping in predictive maintenance and planning.
- Weather Sensors: Weather data is essential for the digital twin to accurately represent current weather conditions and for planning in response to weather changes.
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) | Ultra high data rate: 501 Mbps - 1 Gbps |
| UL User Experience Data Rate (Mbps) | High: 51 Mbps - 100 Mbps |
| Communication Service Availability | Very high: > 99.999% |
| Connection Density | Very high: ≥ 1 Million |
| Position Accuracy | Stringent (0.1 m - 1 m ) |
| Update Frequency | Massive scale (10 Hz) |