Predictive Printer Pen Servicing via Job Data Analysis
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Solution Overview
Problem
Existing methods for servicing pens or printheads in printers often disrupt printer throughput and productivity, especially when clogging occurs, as they typically react to immediate needs rather than anticipating future print jobs.
Innovation Solution
A predictive servicing method that takes into account data related to a plurality of upcoming successive print jobs to determine the optimal timing and level of servicing, such as spitting or wiping, to minimize disruptions and maintain or improve printer throughput and quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If servicing is performed frequently to prevent clogging, then printing quality is maintained, but printer throughput decreases
Solution Approach 1:
The system performs preliminary servicing actions by analyzing future print job data to predict when clogging may occur. Servicing is proactively scheduled based on predicted clogging risk rather than reacting to actual clogging, allowing maintenance to be performed at optimal times that minimize disruption to printer throughput while preventing quality degradation.
Solution Approach 2:
The servicing schedule is made dynamic by continuously analyzing both historical and future print job data. The system adjusts servicing timing and intensity based on varying print job characteristics, media types, and predicted usage patterns, optimizing the balance between maintaining printing quality and preserving printer productivity.
2Productivity
If servicing is delayed to maintain throughput, then printer productivity is improved, but clogging risk increases
Solution Approach 1:
The system implements feedback by continuously monitoring historical print job data and comparing it against predicted future usage. This feedback loop enables the system to accurately predict clogging risk and adjust servicing schedules accordingly, ensuring servicing is performed just in time to prevent clogging while minimizing interruptions to printer operations.
Solution Approach 2:
By analyzing future print job data in advance, the system performs preliminary assessment of clogging risk. This allows servicing to be scheduled proactively at optimal moments before clogging actually occurs, maintaining both high throughput and printing quality without reactive interruptions.
3Reliability
If reactive servicing is performed based on immediate clogging, then printing quality is restored, but printer interruptions increase
Solution Approach 1:
The system performs preliminary servicing based on predicted clogging risk from future print job analysis, rather than waiting for actual clogging to occur. This proactive approach prevents quality degradation before it happens, eliminating the need for reactive servicing interruptions and maintaining continuous printer operation.
Solution Approach 2:
The system applies preliminary anti-action by preventing clogging before it occurs through predictive servicing. By analyzing future usage patterns and performing maintenance in advance, the system counteracts the potential harmful effect of clogging before it can impact printing quality, thereby avoiding the need for corrective servicing interruptions.
Data Source
AI summary
Examples include a method for operating a printing device comprising a specific pen. The method comprises receiving future specific pen firing data related to a plurality of upcoming successive print jobs and collecting historical specific pen firing data. The method further comprises determining a level and timing of servicing of the specific pen in function of both of the received future specific pen firing data and of the collected historical specific pen firing data.