Adaptive Consumable Estimation for Print Job Ink Control
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Solution Overview
Problem
Print shops face challenges in ensuring consistent consumable use estimates for recurring print jobs due to variations in printing device configurations and settings over time, especially in distributed printing environments, which can lead to increased ink or toner usage and potential losses.
Innovation Solution
An adaptive consumable estimation method that determines dot count information from rendered images and applies current device settings to estimate consumable use, allowing for comparison with stored estimates and alerting operators to potential increases in ink or toner usage, enabling informed decision-making on setting adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If print jobs are printed using fixed price contracts on a long term basis, then print shop profitability is improved, but consumable use estimation accuracy deteriorates due to device configuration changes over time
Solution Approach 1:
The system dynamically recalculates consumable use estimates by applying current device settings to stored dot count information, rather than relying on static historical estimates. This allows the estimation to adapt to configuration changes while maintaining profitability through accurate real-time consumption data.
Solution Approach 2:
The system performs preliminary dot count analysis on rendered images and stores this information for future use. When a print job is executed, the stored dot count data is retrieved and combined with current device settings to generate an estimate, eliminating the need to re-analyze the entire image and enabling quick comparison with actual consumption.
2Adaptability or versatility
If printing devices are replaced or reconfigured to improve operational flexibility, then device adaptability is improved, but all previous consumable use estimates become invalid
Solution Approach 1:
The system segments consumable estimation into two independent components: device-independent dot count information (derived from the rendered image content) and device-specific settings parameters. This segmentation allows the dot count data to be preserved and reused across device replacements, while only the settings portion needs to be updated for new devices.
Solution Approach 2:
The system creates a portable representation of consumable usage by storing dot count information that can be copied and applied to different printing devices. This copied data serves as a transferable estimate foundation that maintains validity across device changes, eliminating the need to recreate estimates from scratch.
3Productivity
If distributed printing is implemented to reduce shipping and mailing costs, then operational efficiency is improved, but consumable use consistency deteriorates due to different location conditions
Solution Approach 1:
The system applies local quality by capturing and applying location-specific device settings (such as altitude) when calculating consumable estimates for distributed printing locations. Each location's unique environmental conditions are incorporated into the estimation, ensuring accuracy varies locally rather than using a generic global estimate.
Data Source
AI summary
A printing system includes an estimation system that stores the dot count value and a stored consumable use value for a recurring print job. The dot count value relates to the dot count of a rendered image for the print job for use in printing operations using estimate settings of the printing device. For a later instance of the print job, the estimation system retrieves the dot count value. It also obtains the current settings for the printing device and applies these settings to the dot count value to determine a current consumable use value. Based on the current consumable use value, the estimation system determines whether use of the current settings will result in an increase of ink or toner use.