Improvements for automatic pushback generation

The project aims to improve recently developed algorithms by our research team for the automatic definition of pushbacks in open pit mining that meet complex geometric constraints. Three specific objectives are pursued: a) include an approximate sequencing of blocks within a phase to enable a better discounting of the block values; b) enable to include varying geometric slope constraints according to the direction considered and c) provide, when possible, pushbacks formed of a single continuous ensemble of blocks. The project should provide an evolved prototype which performance will be compared to the current commercial product of the partner-company (CAE-mining). The company will then be able to integrate this new tool into its own commercial software.

Faculty Supervisor:

Denis Marcotte

Student:

Xiaoyu Bai

Partner:

CAE Inc.

Discipline:

Engineering - civil

Sector:

Aerospace and defense

University:

Program: