Service Cloud Data Prioritization for Industrial IoT Scheduling

The patent segments the service data processing system into multiple independent modules: data collection module, desensitization processing module, feature extraction module, categorization module, and priority assignment module. Each module handles a specific aspect of data processing independently, reducing overall system complexity while maintaining comprehensive data coverage across multiple industrial IoT users.

The patent applies local quality by performing high-precision feature extraction and categorization only on specific critical data fields that require accurate analysis, while applying lighter processing to other less critical data. This selective approach maintains data accuracy for important parameters while reducing overall processing time and computational resource consumption.

The patent extracts only the essential features and key characteristics from the aggregated service data from multiple sources, rather than processing the complete raw data sets. The feature extraction module identifies and extracts relevant parameters, discarding redundant information, which maintains service data comprehensiveness while significantly reducing computational resource consumption for analysis and categorization.