Uses the R5 revision data to build a baseline "digital twin" of the tank’s pressure and volume behavior.

💡 This feature shifts the system from detecting a leak (reactive) to forecasting structural fatigue (proactive), saving costs on emergency cleanup.

If you provide the industry, I can design a feature that fits your specific workflow.

Identifies microscopic structural failures by comparing tank vibrations against the LDS database.

This feature would transform the raw tank monitoring data within that ZIP file into an active prevention tool.