Industrial processes have for a long time become more and more automated, this is no different in the mining industry. When excavating during mining operations special drill rigs are used to drill holes in the rock walls to be used for either explosives or bolts to support the structure. The study aimed to find out if it was possible to create an algorithm that would use the drill rigs telemetry data to estimate the number of holes it had created over specific time period. The main approach would be to see if machine learning could be used for the problem or if some other method could be theorised. Without the groundwork needed to create a proper machine learning algorithm a basic statistical approach was used to solve the problem, however since there were no actual reports containing the amount of holes a rig drilled the final solution is highly conjectural.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:ltu-85474 |
| Date | January 2021 |
| Creators | Elfving, Elias |
| Publisher | Luleå tekniska universitet, Institutionen för system- och rymdteknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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