Autonomous Transportation/Logistics/Drillers
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There’s a lot of moving around done during mining operations. Advanced Analytics, GIS and image processing can help with keeping a tab on the movement of vehicles carrying loads in and around the mining area.
Some companies are looking into developing self-driving heavy duty mobiles for a more accurate and faster move.
Benefits for the company
Companies can save huge amount of time and human resource by using data science and reducing cost in the logistics department of the mining company.
Feasability
Medium
Type of expertise/ AI domain
eXtreme Gradient Boosting(XGBoost) and Multi- Layer Perceptron(MLP), Neural Networks, Advanced Analytics
In addition, Rio Tinto has used autonomous loaders and drilling systems for several years. Just as with other autonomous applications, the company asserts the innovation has improved productivity by 10 percent.
Rio Tinto had already been using autonomous haul trucks that can carry 350 tons and operate totally independently. These trucks have impacted the company’s bottom line by reducing fuel use by 13 percent and are safer to operate.
In addition, Rio Tinto has used autonomous loaders and drilling systems for several years. Just as with other autonomous applications, the company asserts the innovation has improved productivity by 10 percent.