Magnetic Mapping of Buried and Submerged Structures With Simulation Validation

The patent applies preliminary action by pre-generating simulation data representing expected magnetic field conditions before actual measurement validation. This allows the system to have reference models ready for comparison, enabling faster validation of measured data without performing complex simulations in real-time during the mapping process.

The patent uses copying by creating simulated copies of expected magnetic field patterns through numerical models. These simulated data sets serve as reference models that can be directly compared against actual measurements, avoiding the need to perform full physical simulations during validation and significantly reducing computational complexity.

The patent implements self-service by enabling the system to automatically detect, validate, and correct mapping anomalies through comparison with simulation data. The system independently identifies inconsistencies between measured and simulated magnetic fields, and can automatically adjust or flag problematic data points without requiring manual operator intervention for each anomaly.

The patent applies feedback by continuously comparing measured magnetic field data against simulated reference models and using the discrepancies to automatically validate or reject data points. This closed-loop validation process provides real-time feedback on data quality, enabling automatic correction of anomalies and reducing the need for manual review while maintaining high mapping accuracy.

The patent applies local quality by performing simulation data comparison selectively at specific locations rather than uniformly across all measurement points. The system identifies regions where validation is most critical (such as areas with anomalies or uncertain geolocation) and applies intensive simulation comparison only there, while using lighter validation methods in stable, well-understood regions.

The patent implements partial action by performing full simulation-based validation only on a subset of measurement points that are most critical for validation, such as points showing anomalies or located in uncertain zones. For other points with clear, unambiguous data, the system uses simplified validation or accepts data without full simulation comparison, thereby reducing overall computational energy while maintaining validation accuracy where it matters most.