Quality Requirement Data Segmentation in Printing Systems
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Solution Overview
Problem
In the commercial printing field, existing systems face inefficiencies in processing quality requirements for print products, as they struggle to discriminate between quality requirements for specific print data and specific pages, leading to low processing efficiency when transmitting and applying quality standards.
Innovation Solution
An information processing apparatus and method that acquire and generate quality requirement data on a data-by-data or page-by-page basis, specifying whether the requirements are defined for each data set or page, and transmit this data to a printing service, allowing for precise determination and application of quality standards during the printing process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If quality requirements are processed without discrimination between data-by-data and page-by-page basis, then processing is simpler, but processing efficiency deteriorates and quality control accuracy deteriorates
Solution Approach 1:
The patent segments quality requirement processing into two distinct modes: data-by-data basis and page-by-page basis. The system divides the processing logic into separate determination steps (Step S102 for data-by-data, Step S104 for page-by-page) with dedicated application methods for each mode. This segmentation enables efficient processing by selecting the appropriate granularity level for each quality requirement, improving overall processing efficiency while maintaining clear organizational structure through defined information structures (CustomerItem, CustomerItemUnit) that manage the complexity.
2Manufacturing precision
If quality requirements are applied without precise determination of application target, then application process is faster, but quality control accuracy deteriorates
Solution Approach 1:
The patent implements preliminary determination of the quality requirement application basis (data-by-data or page-by-page) before applying the requirements. The system pre-establishes the information structure including CustomerItem and CustomerItemUnit that encode the application basis, allowing the printing service to quickly retrieve and apply the correct processing mode without real-time decision delays. This preliminary structuring ensures accurate application target determination while maintaining fast processing through pre-defined pathways.
3Adaptability or versatility
If quality requirements are not standardized with definition basis information, then data structure is simpler, but discrimination ability deteriorates
Solution Approach 1:
The patent introduces an intermediary information structure (CustomerItemUnit) that mediates between the quality requirement data and the application process. This intermediary contains the definition basis information (data-by-data or page-by-page) that enables discrimination without requiring complex processing logic. The CustomerItemUnit acts as a bridge that carries the necessary discrimination information through the system, enhancing adaptability while maintaining manageable data structure complexity through standardized field definitions.
Data Source
AI summary
An information processing apparatus acquires print data of a plurality of pages, generates quality requirement data including information indicating a quality requirement for a print product based on the print data in a data-by-data basis or in a page-by-page basis, and information for specifying whether the quality requirement is defined in the data-by-data basis or defined in the page-by-page basis, and transmits the print data and the quality requirement data to a printing service for a print request. The quality requirement data is a file in a PRX format, and the file in the PRX format stores, as CustomerItem, the quality requirement in the data-by-data basis or in the page-by-page basis.