Developing an AI-backed monitoring solution for mining support

Overview

Industry

Location

Manufacturing

Poland

Technology Used

Apache Spark

Azure Data Lakehouse

Azure ML

Azure Synapse Analytics

Power BI

Client background

Our client is one of the largest Polish companies operating in the coal mining industry.

Project overview

Our client was experiencing difficulties in monitoring mining support. The company’s existing solution could not promptly predict significant failures, such as a potential collapse of a mine shaft, which posed a severe risk to miners. These failures often resulted in mining shearers ceasing to function. The Software Mind team developed a real-time monitoring system for mining support to enhance miner safety and prevent major failures and interruptions in coal extraction.

Results

Significant reduction in mine shaft collapses
Reducing the frequency of mine shaft collapses from 1-2 per month to 1-2 per year
Mining shearers' uninterrupted work
Saving around 5 million USD yearly by ensuring uninterrupted operation
Decrease in the number of injuries
Lowering the number of injuries resulting from collapsing mine shafts to zero
Reducing maintenance costs
Decreasing the maintenance costs of mining supports

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