Digital Twin Data Linkage Validation for Reliable Output Values

The validation system is segmented into three distinct validation layers: individual data validation (validating single data points against reference values), data linkage validation (validating relationships between linked data), and integrated validation (validating the complete digital twin linkage system). This segmentation allows each validation type to focus on specific aspects, improving overall reliability while managing complexity through modular design.

The patent introduces side information as an intermediary element that mediates between raw data and validation results. Side information contains contextual data that helps resolve ambiguities during validation, enabling more accurate reliability assessment without requiring overly complex validation logic in each layer.

The system performs preliminary actions by pre-defining reference values, noise thresholds, and abnormality criteria before validation occurs. During actual validation, the system compares data against these pre-established standards, enabling rapid distinction between noise and abnormality signs without requiring complex real-time analysis, thus maintaining high precision while reducing validation time.

The patent replaces manual or complex mechanical analysis methods with automated computational validation. The validation apparatus uses algorithmic comparison and threshold-based detection to automatically distinguish noise from abnormality signs, substituting time-consuming manual analysis with efficient computational processes that maintain high measurement precision.

By segmenting validation into three progressive layers (individual, linkage, and integrated), the system processes data in manageable stages rather than attempting comprehensive validation all at once. Each layer builds upon the previous one, allowing efficient processing where data that passes early validation stages requires less intensive later validation, thus maintaining data integrity while optimizing processing workload.

The validation system applies partial validation actions selectively - not all data requires the full three-layer validation process. Data that passes individual validation may not require extensive linkage validation if it doesn't participate in critical linkages. This selective application of validation depth maintains data integrity for critical paths while reducing unnecessary processing workload for non-critical data.