Dimensional Measurement Planning With View-Based Feature Selection

The patent segments the complete set of measurable test features into multiple subsets based on different classification criteria (e.g., geometric element type, measurement category). Each subset is displayed separately on the user interface, allowing users to navigate through organized groups rather than facing all features simultaneously. This segmentation maintains information completeness while improving navigability and selection ease.

The patent introduces an additional organizational dimension by categorizing test features according to the geometric element to which they belong. Instead of displaying all features in a single flat list, features are structured hierarchically or spatially according to their associated geometric elements, adding a dimensional layer to the interface that facilitates systematic browsing and selection.

The patent implements preliminary action by automatically generating draft measurement plans based on imported geometric element data before user review. The system pre-configures measurement sequences, selects appropriate test features, and sets initial parameters based on the geometric elements detected in the imported data, thereby reducing the manual planning time while maintaining measurement accuracy through subsequent user verification.

The patent enables self-service functionality where the measurement planning system automatically performs tasks that would otherwise require manual expert input. The system autonomously imports geometric element data, identifies measurable features, and generates measurement sequences without requiring extensive manual configuration, thereby reducing both time consumption and the need for specialized expertise while preserving measurement quality.