Dynamic Printer Configuration via Sensor-Driven Optimization

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Solution Overview

Problem

Printers often degrade over time, leading to low-quality prints and printing anomalies, which can go undetected until they become severe, causing delays and resource waste, as existing systems lack accurate methods to predict issues related to media type and ambient conditions.

Innovation Solution

A printer management system that uses a print optimization model trained on historical data to identify media types and ambient conditions, allowing for dynamic configuration of printing operations to prevent quality issues by analyzing sensor measurements and media data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If traditional printing systems operate without dynamic configuration, then device complexity is reduced, but print quality degrades over time due to wear and tear and undetected issues

Engineering Contradiction:
Improveprint qualityVSAvoidsystem complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system dynamically configures printing operations by adjusting printer settings in real-time based on media type identification and ambient condition sensing. The print optimization model continuously adapts configurations rather than using static settings, allowing the system to maintain print quality despite printer wear and environmental variations.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system incorporates sensor measurements from the printing environment and uses a print optimization model trained on historical data to provide feedback-driven adjustments. Sensors detect ambient conditions and media characteristics, feeding this information back to the configuration system which then optimizes printing parameters to compensate for wear and environmental factors.

Inventive Principle:
Principle #23Feedback

2Reliability

If dynamic configuration with sensors and optimization models is implemented, then print quality is maintained, but device complexity increases

Engineering Contradiction:
Improveprinting operation reliabilityVSAvoidconfiguration system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system performs self-diagnosis and self-optimization by automatically identifying media types, sensing ambient conditions, and adjusting printing configurations without manual intervention. The print optimization model autonomously processes sensor data and generates optimized configurations, reducing the need for operator expertise and manual calibration.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system conducts preliminary analysis of media types and ambient conditions before executing printing operations. The print optimization model uses historical reference data to pre-determine optimal configurations based on predicted printing scenarios, allowing the system to prepare and adjust settings in advance rather than reacting to problems after they occur.

Inventive Principle:
Principle #10Preliminary action

3Loss of time

If historical data analysis is used to predict printer issues, then maintenance timing is improved, but data processing requirements increase

Engineering Contradiction:
Improvemaintenance scheduling timeVSAvoidcomputational energy
Core Design Contradiction:
Loss of timeVSUse of energy by moving object

Solution Approach 1:

The system processes only the most relevant features from sensor measurements and historical data rather than analyzing complete datasets. The print optimization model focuses on key indicators of printer wear and environmental factors that most significantly impact print quality, performing partial analysis sufficient for predictive maintenance without exhaustive computational effort.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS20240402961A1Dynamic Configuration of a Printer for a Printing Operation
Publication Date: 2024.12.05 ZEBRA TECHNOLOGIES CORP
  • US20240402961A1 patent drawing
  • US20240402961A1 patent drawing
  • US20240402961A1 patent drawing

AI summary

In some implementations, a device may identify, for a printing operation, a media type associated with media involved in the printing operation. The device may receive, from a sensor, a sensor measurement associated with an ambient condition of the printer. The device may determine, using a print optimization model, a printing configuration for the printing operation based on the media type and the ambient condition, wherein the print optimization model is trained based on reference data associated with historical printing operations associated with one or more printers, wherein the reference data includes reference configurations associated with the historical printing operations, respective media types of media used in the historical printing operations, and corresponding ambient conditions of the one or more printers during the historical printing operations. The device may cause the printer to perform the printing operation according to the printing configuration.