Physical environment

Birth

Containers

AIS

Heterogeneous network integration

3D Port Virtual Modeling and Simulation

3D visualization of terminals and berths (GIS-based)

Equipment motion and behavior modeling

Scenario testing and performance simulation

Operational Rules & Scheduling Logic

Scheduling rule (crane/truck allocation)

Model & Simulation Database”

Historical operational data (AIS logs)

Spatial data models (GIS layers)

Simulation parameters and learned models

KPI Dashboard and Performance Monitoring

1- “Throughput Efficiency”

2- “Crane Utilization”

3- “Vessel Waiting Time”

4- “Yard Occupancy Rate”

5- “Equipment Productivity”

Logistics status monitoring

Equipment status monitoring

Equipment utilization evaluation

Yard status monitoring

Business execution monitoring

Throughput load evaluation

Digital twin system

1- “AIS–GIS Data Fusion Layer”

2- “Predictive Analytics and Optimization Engine”

3- “Berth and Yard Scheduling Simulation”

4- “Real-Time Decision Support”

Dynamic simulation of port cargo handling

Yard layout optimization simulation

Logistics simulation of Terminal and back yard

Port ship dynamic scheduling simulation

AGV transportation scheduling simulation

Big Data Collection

Big Data Storage

Big Data Processing

AIS Data Processing and Cleansing

GIS Spatial Data Fusion

Big Data Analytics and Integration

3D Real-Time Port Visualization and Debugging

Dynamic vessel tracking (AIS)

Spatial equipment visualization (GIS)

GIS

Scheduling rule (crane/truck allocation)

Operational Scenario Testing and Predictive Simulation”

Content

1- “Real-Time Scenario Testing”

2- “Predictive Scheduling (AIS-based)”

3- “Port Traffic Optimization”

4- “Energy and Resource Optimization”

KPI Dashboard and Performance Monitoring

1- “Throughput Efficiency”

2- “Crane Utilization”

3- “Vessel Waiting Time”

4- “Yard Occupancy Rate”

5- “Equipment Productivity”

Port Operations Subsystem