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Тоҷикӣ
КыргызчаAI for Heavy Equipment Predictive Maintenance in Mining/Construction
Apply AI to equipment telemetry and work orders to predict failures, schedule maintenance, and boost uptime in mining and construction fleets.
Unplanned downtime of haul trucks, excavators, and drills disrupts production. AI predicts failures from telemetry, usage, and conditions, enabling proactive maintenance and parts readiness.
Condition-based maintenance schedules.
Spare parts forecasting tied to predicted failures.
Operations & Planning
Operator shifts and behavior metrics.
Telematics streams; edge buffering for low connectivity.
CMMS/ERP for work orders and parts.
Frequently asked questions
What types of reports are available regarding uptime, costs, and model performance?
Reports on uptime, costs, and model performance.
How do I connect telematics and CMMS data, and ensure the signals and events are properly aligned?
The system allows you to integrate data from your telematics and Computerized Maintenance Management Systems (CMMS). This integration involves cleaning and aligning these signals and events to provide a unified view of your operations.
Can I train Remaining Useful Life (RUL) and anomaly detection models specifically for each fleet or piece of equipment?
Yes, you can tailor RUL and anomaly detection models to the specific characteristics of different fleets and individual pieces of equipment. This allows for more accurate predictions and targeted maintenance strategies.
How should I initially deploy alerts and planner workflows, particularly during a pilot phase?
We recommend piloting new alerts and planner workflows on a single site before rolling them out across your entire organization. This controlled approach minimizes disruption and allows you to gather valuable feedback for refinement.
▶ Try it live
Everything above runs in your browser — open Earthquake Wave Propagation Simulation and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.