Due to complex background interference and weak space–time connection, traditional driver fatigue detection methods perform poorly for open-pit truck drivers. For these issues, this paper presents a method based on Libfacedetection an LRCN. The consists of three stages: (1) using face module with tracking quickly extract the ROI face; (2) extracting coding features; (3) combining model build sp...

We quantified the wholesale transformation of the boreal landscape by open-pit oil sands mining in Alberta, Canada to evaluate its effect on carbon storage and sequestration. Contrary to claims made in the media, peatland destroyed by open-pit mining will not be restored. Current plans dictate its replacement with upland forest and tailings storage lakes, amounting to the destruction of over 29...

A large number of metal deposits are initially extracted via surface methods, but then transition underground without necessarily ceasing to operate above ground. Currently, most mine operators schedule the open pit and underground operations independently and then merge the two, creating a myopic solution. We present a methodology to maximize the NPV for an entire metal deposit by determining ...

The field of study autonomous trucks especially in open pit mines has been the subject considerable research over past three decades. In last ten years particular, interest this area improved considerably. implementation systems is an integral organizational and cultural change. This work a guideline for safe effective mines. It provides view different approaches to implementing mining with res...

Contemporary off-grid mining operations rely on diesel fuel for the provision of their total energy including electricity, heat, and haulage. Given high cost its imposed greenhouse gas emissions, companies are looking more affordable cleaner sources operations. Although renewable systems, such as solar photovoltaic wind provide efficient solutions to address this challenge, full decarbonization...