Monitoring the technical condition of mining dump trucks and excavators

Projects

A large mining company engaged in the exploration, extraction, processing and sale of raw materials

Problem

Low technical availability of machines (CAT and BelAZ mining dump trucks, as well as Liebherr mining excavators)

Tasks

Retrofitting the machines with data collection and transmission tools

Automating the telemetry data collection and storage

Implementing a predictive analytics system

Equipment condition visualization

Features of the project

Solution

The solution implements

Collects, processes and stores telemetry data from equipment sensors
Ensures the engineering and mathematical model operation for units and assemblies
Assesses and forecasts the equipment "health index"

How the solution works

The Smart Maintenance solution monitors the equipment-related events and incidents based on telemetry data using mathematical models
The solution compares the data based on the mathematical model with the actual customer's equipment performance.
The solution monitors 30 key parameters and their deviations from normal values, which allows to prevent unscheduled repairs and increase the customer's equipment technical availability.

Business effect