Simulation Case of Digital Twin AGV Scheduling Optimization in First Hospital

Simulation Case of Digital Twin AGV Scheduling Optimization in First Hospital

AGV Application in Hospital

AGV Hospital Process

AGV Simulation Modeling

Overview

This project focuses on the research of intelligent scheduling optimization methods for AGVs based on digital twin technology, leveraging the complex clinical scenarios of First Hospital.

Research Content

1. Digital Twin Modeling and Scenario Simulation: Build a 3D dynamic twin model of the hospital, simulate the AGV operating environment across multiple scenarios such as outpatient, pharmacy, and emergency, and integrate random variables such as people flow, logistics, and ad-hoc tasks.
2. Dynamic Scheduling Algorithm Development: Design multi-objective optimization algorithms based on the Anylogic platform to implement AGV path planning, task priority assignment, and resource conflict resolution, improving the response capability to temporary urgent tasks and equipment failures.
3. Simulation Verification and System Integration: Verify the effectiveness of scheduling strategies through a virtual reality interactive interface, develop a twin-driven AGV intelligent scheduling system, and carry out demonstration applications in real hospital scenarios.

AGV UI

Significance

This research will drive the intelligent transformation of hospital logistics management, optimize the efficiency of medical resource allocation, reduce operational costs, and provide a replicable technical paradigm for the construction of smart hospitals.