Real-Time Visualization for Prevention of Excavation Related Utility Strikes.

Real-time Visualization;Buried Utilities;Proximity Monitoring;Computer Graphics;Knowledge-based Excavation Operations;Sensor-based Tracking;Civil and Environmental Engineering;Engineering;Civil Engineering

Talmaki, Sanat A.Lee, Sanghyun ;

University of Michigan

关键词: Real-time Visualization;    Buried Utilities;    Proximity Monitoring;    Computer Graphics;    Knowledge-based Excavation Operations;    Sensor-based Tracking;    Civil and Environmental Engineering;    Engineering;    Civil Engineering;   

Others  :  https://deepblue.lib.umich.edu/bitstream/handle/2027.42/96133/stalmaki_1.pdf?sequence=1&isAllowed=y

瑞士|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

An excavator unintentionally hits a buried utility every 60 seconds in the United States, causing several fatalities and injuries, and billions of dollars in damage each year. Most of these accidents occur either because excavator operators do not know where utilities are buried, or because they cannot perceive where the utilities are relative to the digging excavator. In particular, an operator has no practical means of knowing the distance of an excavator’s digging implement (e.g. bucket) to the nearest buried obstructions until they are visually exposed, which means that the first estimate of proximity an operator receives is often after the digging implement has already struck the buried utility. The objective of this dissertation was to remedy this situation and explore new proximity monitoring methods for improving the spatial awareness and decision-making capabilities of excavator operators. The research pursued fundamental knowledge in equipment articulation monitoring, and geometric proximity interpretation, and their integration for improving spatial awareness and operator knowledge. A comprehensive computational framework was developed to monitor construction activities in real-time in a concurrent 3D virtual world. As an excavator works, a geometric representation of the real ongoing process is recreated in the virtual environment using 3D models of the excavator, buried utilities and jobsite terrain. Data from sensors installed on the excavator is used to update the position and orientation of the corresponding equipment in the virtual world. Finally, geometric proximity monitoring and collision detection computations are performed between the equipment end-effector and co-located buried utility models to provide distance and impending collision information to the operator, thereby realizing real time knowledge-based excavator operation and control.The outcome of this research has the potential to transform excavator operation from a primarily skill-based activity to a knowledge-based practice, leading to significant increases in construction productivity and safety. This is turn is expected to help realize tangible cost savings and reduction of potential hazards to citizens, improvement in competitiveness of U.S. industry, and reduction in life cycle costs of underground infrastructure.