Machine Tool Data Display Device for Efficient Parameter Search

The patent applies preliminary action by pre-calculating and storing evaluation results (such as waveform characteristics, position deviations, velocity fluctuations) along with the control parameter data sets. When a user needs to search for appropriate data, the system has already prepared the evaluation information in advance, eliminating the need to analyze raw data during the search process. This allows operators to quickly assess data sets based on pre-computed metrics rather than manually examining detailed waveforms for each data set.

The patent introduces an intermediary evaluation mechanism that mediates between the large number of stored data sets and the user's search needs. Instead of directly searching through all control parameter data sets, the system uses pre-computed evaluation results (intermediary information) to filter and present relevant data. This intermediary layer of evaluation data acts as a bridge, allowing efficient navigation through large data volumes without requiring direct examination of each complete data set.

The patent applies the taking out principle by extracting and separating evaluation information from the complete control parameter data sets. Instead of displaying all raw data simultaneously, the system extracts key evaluation metrics (such as maximum position deviation, velocity fluctuation, waveform characteristics) and presents them separately. This allows users to first review the extracted evaluation results to identify promising data sets, then access the complete data sets only for selected candidates, thereby avoiding information overload while maintaining access to complete information when needed.

The patent applies segmentation by dividing the information presentation into multiple hierarchical levels. The first level displays summarized evaluation results for all data sets (such as key performance metrics). The second level provides detailed control parameter information only for data sets that users select based on the first-level summary. This segmented approach breaks down the overwhelming amount of information into manageable segments, allowing users to navigate from general evaluation to specific details only when necessary.