Increased Production Of Chrysotile Asbestos
Our client, a company engaged in the extraction of chrysotile asbestos, sought to optimize production processes and increase production volumes. The main task was to create a recommendation system that would provide real-time recommendations to operators based on data collected from various sensors and equipment. We have developed an AI Operator system using machine learning to achieve this goal.
Date
January 2024 - may 2024
Project Type
AI Operator
Services
UX/UI Design, Mobile development, Q/A test, DevOps, Backend development
Solution
We have implemented an advanced recommendation system based on machine learning technologies. The AI Operator system analyzes data from sensors and equipment in real time, including information about the condition of machines, ore characteristics and environmental conditions. Based on this data, the system provides recommendations to operators, helping them make more informed decisions and optimize the mining process. Recommendations may include changes to equipment settings, route optimization, and other operational measures.
Results
As a result of the implementation of the AI Operator system, the company was able to significantly increase the production of chrysotile asbestos. Operators have received a tool that helps them respond more quickly to changes in the production process and maintain optimal conditions for production.
3,6%
Increase productivity
Development
Industrial process improvements
Opportunities
New opportunities for further optimization
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