RIP Idle-Time Rendering for Print Engine Downtime
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Solution Overview
Problem
Print engines in printing devices often sit idle due to offline conditions or requiring human intervention, leading to inefficiencies in large production printing operations.
Innovation Solution
A method and system that utilizes a raster image processing (RIP) system to continue rendering pages during idle times, storing them in data storage, and managing resources to optimize performance when the print engine resumes operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the print engine sits idle waiting for resolution of offline situations, then the system can resume normal operations, but large production printing operations experience significant time loss and reduced productivity
Solution Approach 1:
The RIP system performs preliminary rendering of pages during print engine idle time before the engine is needed. This advance preparation ensures that when the print engine resumes operation, pages are already ready for immediate printing, eliminating idle waiting time and maintaining high productivity while ensuring system reliability.
Solution Approach 2:
The system maintains continuous useful action by having the RIP system render pages continuously during print engine idle periods. This continuous rendering operation ensures that printing operations can continue without interruption once the engine is available, as pages are pre-rendered and stored in the data storage system.
2Productivity
If the RIP system renders and stores all pages during idle time, then print performance is optimized, but data storage capacity requirements increase significantly
Solution Approach 1:
The system applies local quality by differentiating between complex pages and simple pages. Complex pages are rendered and stored during idle time, while simple pages are processed differently. This selective approach optimizes print performance for critical pages while reducing unnecessary storage consumption, balancing productivity gains with storage capacity requirements.
Solution Approach 2:
The system changes the parameter of page complexity classification to manage storage efficiently. By identifying and prioritizing complex pages for rendering and storage during idle time, while handling simple pages differently, the system optimizes the balance between print performance and storage capacity utilization.
3Speed
If the system stores rendered pages in first data storage, then fast access is achieved, but storage space is limited and may be filled during idle rendering
Solution Approach 1:
The system resolves the storage capacity limitation by introducing a second data storage dimension. When the first data storage reaches its capacity threshold during idle rendering, the system automatically redirects additional rendered pages to the second data storage. This multi-storage dimension approach maintains fast access speeds for pages in the first storage while providing extended capacity through the second storage, eliminating the bottleneck of single-storage limitations.
Data Source
AI summary
A printing system includes a printing device that receives print jobs. The printing device includes a controller having a raster image processing (RIP) system that includes a RIP manager and at least one renderer. The RIP manager detects that the print engine of the printing device is idle. The RIP system renders various jobs using renderers during the idle time and stores the rendered pages in a storage for the RIP system. Once a storage threshold is reached, the RIP system allocates the renderers to render only complex pages within the print job and stores the rendered complex pages to a secondary storage. If a secondary job is active, then available renderers are allocated to rendering pages of the secondary job. Once printing resumes at the print engine, the RIP manager reallocates the rendering resources back to normal.


