Research On The Virtual Monitoring And Prewarning System Of Construction Machinery Based On Data-drivern And Simulaton Technology

With the development of automation technology, remote monitoring and management system has become increasingly demanding. In this paper, Tower cranes are specified as the study object. Based on the national 863 project"Research on remote monitoring and intelligent maintenance of tower cranes", a remote virtual monitoring and collision pre-warning system for tower crane is implemented by adopting virtual reality technology. The kinematical model of tower cranes is built and the key motion parameters are defined also. The virtual tower cranes are driven with the data from sensors in field. So a real-time monitoring environment is achieved, which is 3D, highly vivid and interactive. On this basis, we use the multi-layer data model and the rapid scheduling algorithm to reach the real-time collision detection and finally the accurate tower crane collision pre-warning.The main research contents in this thesis are as follow: 1. Establish the total scene and the tower crane model library. According to the characteristics of the structure and movement of tower cranes, analyze the relationship between every part of the cranes, and then create the 3D models; Model the environmental elements through suitable technology; achieve optimization of several key issues for modeling.2. Realize the visualization and interoperability of the remote virtual monitoring system for tower crane. Design the rendering engine for monitoring system with DirectX. Then achieve a realistic, accurate and vivid 3D image display, and realize the human-computer interaction.3. Optimize the visual representation for the monitoring system. The aim of study is not only to improve the realistic picture, but also to enhance the real-time system.4. Study the tower crane collision system. According to the characteristics of Tower crane collisions, models of the tower crane and other objects are optimized. Then we use the multi-layer data model and quick scheduling algorithm to realize an accurate tower crane collision detection system and finally achieve the purpose of early warning.