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Modelling, Simulation, and Monitoring of Electric Mining Shovels

Authors: [tex2html_wrap4328]A. Bedair, B. Kapadia, H. Wu, L.K. Daneshmend

Investigator username: laeeque

Category: robotics

Subcategory: modelling and simulation

Electric shovels are primary production machines for many types of surface mining operation. These machines are very large (2 Megawatts power consumption, one million kilograms) material excavation and handling systems, which may be modelled as three degree-of-freedom manipulators which interact with a variable environment (the rock/ground). This project is concerned with the development of a high fidelity simulator for use in analyzing and predicting shovel performance, including interaction with the rock. In addition, techniques for monitoring productivity, as well as constraints on productivity, are also being investigated. These include on-line identification of shovel/ground dynamics as a means to assess digging conditions and load weight, as well as computer vision techniques to assess rock fragmentation.


baron@cim.mcgill.ca