Applied Systems helped the company TLT Service to develop a control software with data analytics toolset for the monitoring system of the hoisting shaft for one of the world’s largest producers of potash fertilizers.
The condition monitoring solution was based on the Propheto. It’s our software platform for smart maintenance solutions. We extended the Propheto by adding data analytics modules that help to identify the damage risks, find the root causes of abnormal behavior of shaft equipment, and increase the performance of maintenance procedures. The use of the condition monitoring system should lead to a reduction of downtime and optimization of the efficiency of hoisting shaft facility.
The analysis of a large amount of data obtained from diagnostic equipment and winding machine in conjunction with data obtained from the service log will enable to use Predictive Maintenance methods to optimize the workflow management and further improve the efficiency of mining equipment.