Oil, Gas & Mining

Mining Equipment System

AI-powered equipment monitoring system built to predict faults and minimize downtime across mining operations

Overview

Operating multiple mining sites across different continents with a focus on platinum, iron ore, and thermal coal, the client approached Ludych to develop an Equipment Monitoring System. The AI-powered platform collects data from sensors on haul trucks, dozers, excavators, and shovels, predicts equipment faults, schedules maintenance automatically, and displays live fleet health status.

Customer

South Africa

Challenge

Their advanced portfolio of high-quality mining assets includes precious metals & non-metals, base, and bulk commodities.
Commitment to safety, operational excellence, and sustainable development support was the prime goal of the client's company
in an ambition to become the world's largest mining company.

The client approached Ludych to develop an application that will identify the status of mining equipment through a web interface.
They wanted to develop an “Equipment Monitoring app” that would help them manage equipment in a healthy state.

As per the client’s requirements, they wanted a solution that performed the analysis and interpretation of mining data obtained from
different equipment; monitored the working conditions of the equipment pieces and minimized the breakdowns. The maintenance and
inspection status was only available through ERP systems which were extremely time consuming and needed some predictive maintenance.

Collection of data from various equipment sensors for different types of equipment from different manufactures using various third-party services live Leica controllers, IMD devices, KOMTRAX, and CAT VIMS
Aggregation of the raw data obtained from mining equipment was very cumbersome and difficult to implement
Calculation of equipment faults from running average of trends and dynamic addition of trends for each model of mining trucks
Automating the process of system switching from one operation to another after a predefined interval of time
Displaying vehicle travel path and direction on the map using sensor data along with the road condition

Solution

The analysis and exploration have performed well during the development phase and the client’s business was now able to generate huge benefits by partnering with Ludych. Our .NET (C#) solution proved extremely useful and monitored the health status of different pieces of mining equipment.

Expertise

Tools & Technologies

Microsoft ASP.Net
C#
Microsoft SQL Server
Proficy Historian
.Net Charting
Highcharts

Result

By introducing the “Equipment Monitoring System” in their daily operations, the client realized their operations to be hassle-free and more cordial. Software solution provided by our expert .NET developers was a sure-shot answer to all client's problems with added advantages such as

Challenging and manually near to impossible calculations for equipment now have become simplified, error-free, and efficient saving most of their time and efforts.
The graphical representations of information (calculated from raw data) help in the better analysis process and resulted in better decisions.
Equipment breakdowns can be identified at an earlier stage and can take proper actions against it. Automated equipment maintenance schedule resulted in operational cost reduction, enhanced equipment efficiency and hence increase in production capacity.
Early detection of poor road conditions helped to avoid accidents and increased output.

Ready to Build Your Custom Application Solution?

Ludych is a reputed CMMI level 3 software and mobile app development company. When it comes to software development companies, Ludych strives to be the best.

Request a Proposal