Heavy Equipment

Heavy equipment construction machinery, mining systems, agricultural equipment, and industrial vehicles must perform reliably under extreme conditions while meeting growing demands for durability, autonomy, efficiency, and faster time-to-market. Traditional engineering approaches struggle to keep up with these challenges.

Digital twins and executable digital twins (EDTs) transform how machines are designed, tested, and operated. High-fidelity digital twins replicate mechanical, hydraulic, electrical, thermal, and control systems, giving engineers a virtual model they can test long before physical prototypes exist. EDTs go further, combining real-time sensor data, control logic, and simulation into a deployable model that runs in the cloud, on virtual testbeds, or directly on equipment.

These AI-augmented twins help manufacturers:

• Predict failures and prevent costly downtime
• Optimize performance and energy use under all operating conditions
• Validate autonomous and safety-critical systems across thousands of scenarios
• Reduce physical prototypes and testing costs
• Accelerate design cycles and innovation

By integrating AI throughout the digital twin ecosystem, companies break through traditional engineering limits, achieving smarter, safer, and more efficient machines while getting to market faster and staying ahead of the competition.