Industrial Data Communication With Real-Time Response Data Correction

The patent introduces an intermediary data evaluation method between field devices and control level applications. This intermediary process evaluates data quality characteristics (plausibility, completeness, accuracy, timeliness) and assigns weights to different data quality aspects, thereby mediating between raw field data and control applications to ensure data reliability while maintaining transmission efficiency.

The patent applies preliminary action by performing data quality evaluation and weighting before data is used by control level applications. The data quality assessment and weighting scheme are prepared in advance, allowing erroneous data to be identified and appropriately handled before it can distort control decisions or AI-driven predictions.

The patent changes parameters by introducing a weighted data quality evaluation system instead of uniform checking. Different data quality aspects (plausibility, completeness, accuracy, timeliness) are assigned different weights based on their importance for specific applications. This parameter-based approach allows selective emphasis on critical quality aspects while reducing processing overhead for less critical data.

The patent applies local quality by evaluating different aspects of data quality separately with different weights rather than applying a single uniform checking standard. Each data quality characteristic (plausibility, completeness, accuracy, timeliness) is assessed locally with appropriate weighting, allowing efficient processing that focuses computational resources on the most critical quality dimensions for each specific data type and application context.