Research On Simulation Training System For Bridge Crane Based On Virtools

The bridge crane plays an important role in the national economy, which is widely used inthe indoor and outdoor industrial, railway transport and ports, etc. However, the traditionaltraining methods can not meet current demands of bridge crane drivers. The simulation trainingsystem for bridge crane based on virtual reality technology will provide a new approach totrain, which will make the training standardization and modernization.An implementation process and some key issues of the simulation training system forbridge crane are focused in this dissertation. The system provides a virtual work environment,which gives the driver a sense of immersive. The display will realistically display what thebridge crane driver sees during operating the bridge crane. The virtual bridge craneis controlled by operating equipment which makes real-time interaction with the operator toachieve the purpose of the bridge crane driver training. The system also can be accessed from theInternet. Using virtual reality and simulation technology, the system not only makes the bridgecrane training more secure and convenient, but also makes the training period shorter and thecost lower.The main work in this dissertation includes four aspects as follows:1. The framework of the system was established. Features, structure and pattern of virtualreality and some related technologies are discussed and the simulation of the bridge crane workprocess was completed.2. Through analyzing the structure and properties of bridge crane, SolidWorks was used toestablish a solid model of the bridge crane, and then3DS MAX was used to optimize the model.After that, the model was import into Virtools to complete human-computer interaction design.3. To make the system more realistic, the motion simulation of bridge crane trolley andlifting weight system was studied and a mathematical model of the system was established. Thensome equations of trolley movement were given and solved and the trolley and lifting weightsystem were implemented using Virtools.4. A collision detection algorithm based on uniform grid and AABB is proposed, in which improved balanced binary tree was advocated to storge the uniform grid.5. Joysticks are used to control bridge crane model in the system, which makes afoundation for the connection to other hardware in future.