Continuous Printing Order Optimization via RIP Simulation
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Solution Overview
Problem
Conventional printing systems face challenges in determining a suitable processing order for continuous printing that satisfies customer needs when multiple printing conditions are involved, leading to potential delays and inefficiencies due to the need to account for various simulation results across multiple printing machines and conditions.
Innovation Solution
A method that involves specifying page data for continuous printing, setting requirements, performing RIP simulations under multiple printing conditions, sorting records for a continuous printing list based on simulation results, and executing the printing process under optimal conditions to ensure customer needs are met, with no additional user load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If RIP simulation is performed under multiple printing conditions to determine optimal processing order, then printing efficiency and customer satisfaction are improved, but system complexity and computational load increase
Solution Approach 1:
The patent segments the printing system into multiple independent printing machines, each capable of autonomous RIP simulation and processing. This segmentation allows the system to handle multiple printing conditions in parallel rather than sequentially, improving efficiency while distributing computational load across independent units. Each printing machine maintains its own simulation capabilities, reducing the complexity burden on any single component.
Solution Approach 2:
The patent implements preliminary RIP simulation under multiple printing conditions before actual printing begins. By performing simulations in advance to determine the optimal processing order and identify potential issues, the system avoids complex real-time decision-making during execution. This preliminary analysis phase separates the computational complexity from the printing execution, improving overall efficiency.
2Measurement precision
If RIP simulation is performed for each printing condition separately, then accurate prediction of printing performance is achieved, but processing time and resource consumption increase
Solution Approach 1:
The patent merges the RIP simulation functionality into a unified system that can handle multiple printing conditions simultaneously. Instead of performing separate simulations for each condition, the integrated system processes multiple conditions in parallel, maintaining prediction accuracy while reducing total processing time. The merging of simulation capabilities allows shared resources and coordinated processing.
Solution Approach 2:
The patent creates a universal RIP simulation system that can operate under multiple printing conditions with a single integrated platform. This multi-functional system eliminates the need for separate simulation processes for each condition, reducing resource consumption and processing time while maintaining the ability to accurately predict performance across diverse printing scenarios.
3Productivity
If multiple printing machines are coordinated for continuous printing, then productivity increases, but coordination complexity and communication overhead increase
Solution Approach 1:
The patent enables each printing machine to autonomously determine its own processing order and simulate its performance under different conditions. This self-service capability reduces coordination complexity by eliminating the need for centralized control and extensive inter-machine communication. Each machine independently makes decisions based on its own simulation results, while still contributing to the overall continuous printing productivity.
Solution Approach 2:
The patent implements preliminary simulation and planning for each printing machine before the continuous printing process begins. By determining the optimal processing order and allocating tasks in advance based on simulated performance, the system reduces real-time coordination requirements. This preliminary action minimizes communication overhead during actual printing while maintaining high productivity.
Data Source
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AI summary
After specifying a processing target (target data) (S100), a requirement for printing is set (S110). A simulation of a RIP process is performed on the target data under a plurality of printing conditions which are set in advance (S130 and S140) . Then, based on simulation results, a print-target identifying record is registered in a continuous printing list so as to satisfy the set requirement (S160). After rearranging print-target identifying records registered in the continuous printing list (S170), continuous printing is performed based on the continuous printing list (S180).