Print Job Analysis Visualizing Logical Structures for Error Detection
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Solution Overview
Problem
Print shop operators face difficulties in diagnosing and resolving errors in print jobs due to underlying issues that are not visibly apparent in the printed output, leading to inefficient troubleshooting processes.
Innovation Solution
Converting data objects in print jobs into graphical features that expose underlying information, allowing for a visual inspection of logical structures and relationships, thereby facilitating error identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If print jobs are processed normally without additional analysis tools, then the printing process is simple and fast, but errors in print jobs cannot be effectively diagnosed
Solution Approach 1:
The patent introduces an intermediary analysis system that sits between the print job submission and normal processing. This intermediary layer extracts and visualizes logical structure information from print jobs without altering the original printing workflow, enabling error detection while maintaining processing simplicity.
Solution Approach 2:
The patent creates a visual copy or representation of the print job's logical structure through graphical displays. Instead of analyzing the complex raw print job data directly, the system generates a simplified visual model that preserves essential structural information, making errors detectable without increasing processing complexity.
2Ease of operation
If underlying information in print jobs is made visible through conversion to graphical features, then error diagnosis becomes easier, but the processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary analysis of print jobs by extracting and visualizing logical structure information before actual printing occurs. This preliminary action identifies potential errors early in the workflow, preventing time-consuming troubleshooting later while the visual representation makes diagnosis straightforward.
Solution Approach 2:
The patent uses visual differentiation techniques where different logical structures and elements in print jobs are represented with distinct graphical features. This visual encoding allows operators to quickly identify errors through color or shape variations, dramatically reducing diagnosis time and effort.
3Measurement precision
If visual inspection features are added to expose logical structures, then error identification improves, but the print output complexity increases
Solution Approach 1:
The patent segments the print job analysis into distinct visual components, where different logical structures (pages, overlays, objects) are represented separately with unique graphical features. This segmentation enables precise error identification for each component while keeping the overall output structure organized and manageable.
Data Source
AI summary
Print jobs may include errors, which may be difficult to resolve. In the embodiments described herein, data objects in print jobs are converted into printable features that show the underlying information in the print job, which allows for a visual inspection of the logical structures and relationships between the logical structures and print data objects in a printed output. One embodiment comprises a print controller that stores a first print job comprising one or more data objects, and print job commands that define the data objects for the first print job. The print controller processes the print job commands to identify the data objects for the first print job, and outlines and presentation positions specified for the data objects, and generates a second print job that graphically represents the outlines and the presentation positions of the data objects as graphical shapes, and provides the second print job.