Smart Elevator System Optimization Using Building Digital Twin Framework

To create a digital twin of a multi-floor elevator system that analyzes passenger demand patterns, waiting times, and load distribution. The system will optimize elevator scheduling to reduce energy consumption and improve passenger experience.

Study elevator control systems and scheduling algorithms.

Model multi-floor building structure digitally.

Simulate passenger arrival datasets.

Implement elevator dispatch optimization algorithms.

Develop wait-time prediction model.

Simulate peak and off-peak usage scenarios.

Analyze energy consumption patterns.

Create monitoring dashboard.

Compare traditional vs optimized scheduling efficiency.

Conduct performance testing under heavy load.

Document results and improvements.

Prepare final technical report.