Framework for an intelligent earthwork system: Part I. System architecture

Recently, there has been an increase in the demand to enhance the intelligence of construction equipment and systems. Especially for semiautonomous and autonomous systems that have great potential for impact on the construction industry, artificial intelligence approaches are required to generate instructions and plans necessary to perform tasks in dynamically changing environments on their own. The framework for an intelligent earthwork system (IES) is suggested by the authors. It generates a plan automatically for construction equipment, provides a means of cooperation between construction equipment seamlessly, and improves worker safety. This paper describes some factors that can affect earthwork operation performance, five emerging technologies that can be adapted to implement an IES, the system architecture, and the system control strategy for IES.

[1]  Keith S. Decker,et al.  Distributed problem-solving techniques: A survey , 1987, IEEE Transactions on Systems, Man, and Cybernetics.

[2]  Chris Hendrickson AUTOMATION AND ROBOTICS: PAST, PRESENT, AND FUTURE , 1995 .

[3]  Carter Ward Earthwork and Resource Estimation on Large Expedient Projects , 1986 .

[4]  Sanjiv Singh,et al.  A Robotic Excavator for Autonomous Truck Loading , 1998, Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190).

[5]  S. Yuta,et al.  Development of autonomous dump trucks system (HIVACS) in heavy construction sites , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[6]  Wolfgang Poppy,et al.  Canopen for Mobile Construction Machines - An Open Communication Network for Control and Automation , 2000 .

[7]  Ehud Rivlin,et al.  Sensory-based motion planning with global proofs , 1997, IEEE Trans. Robotics Autom..

[8]  Vladimir J. Lumelsky,et al.  Path-planning strategies for a point mobile automaton moving amidst unknown obstacles of arbitrary shape , 1987, Algorithmica.

[9]  Abraham Warszawski,et al.  Robotics in building construction , 1985 .

[10]  Vladimir J. Lumelsky,et al.  A paradigm for incorporating vision in the robot navigation function , 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.

[11]  A. Leick GPS satellite surveying , 1990 .

[12]  Geraldine S. Cheok,et al.  Automated Earthmoving Status Determination , 2000 .

[13]  Lihui Wang,et al.  Design of Distributed Real-time Control Agents for Intelligent Manufacturing Systems , 1999 .

[14]  Randall Davis,et al.  Frameworks for Cooperation in Distributed Problem Solving , 1988, IEEE Transactions on Systems, Man, and Cybernetics.

[15]  Hui-Ping Tserng,et al.  OPSALC: A computer-integrated operations planning system for autonomous landfill compaction☆ , 1996 .