Operating Environment Evaluation for Image Processors
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Solution Overview
Problem
Current image processing apparatus maintenance technologies fail to reduce the frequency of malfunctions, leading to unchanged maintenance visit frequencies despite predictive maintenance efforts.
Innovation Solution
An operating environment evaluation system that acquires and evaluates physical parameters like temperature, humidity, and power-off events to generate an environment properness level, using weighting coefficients to calculate a comprehensive operating environment score, enabling more informed maintenance scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If predictive maintenance technology is implemented to predict malfunctions, then maintenance timing can be optimized, but the frequency of malfunctions cannot be reduced and maintenance visit frequency remains unchanged
Solution Approach 1:
The system continuously monitors operating environment parameters (temperature, humidity, power-off events) and feeds this information back to evaluate environment properness levels. This feedback mechanism allows the system to identify environmental factors causing malfunctions and adjust maintenance strategies accordingly, potentially reducing unnecessary maintenance visits while improving reliability.
Solution Approach 2:
The patent introduces a new parameter - environment properness level - that evaluates operating conditions based on multiple physical parameters. By changing the maintenance approach from time-based to condition-based monitoring using this composite parameter, the system can reduce maintenance visit frequency while maintaining or improving reliability through more targeted interventions.
2Measurement precision
If multiple physical quantity measurements are conducted to evaluate operating environment, then environment properness can be assessed comprehensively, but system complexity increases
Solution Approach 1:
The system merges multiple physical quantity measurements (temperature, humidity, power-off event counts) into a single comprehensive evaluation metric - the environment properness level. This consolidation approach maintains measurement precision by considering multiple factors while reducing system complexity through unified evaluation and simplified data processing.
Solution Approach 2:
The environment properness level serves as a universal indicator that can assess multiple aspects of operating environment quality simultaneously. This multi-functional metric reduces the need for separate complex monitoring systems for each parameter, as the unified evaluation can trigger appropriate maintenance actions based on overall environment conditions.
Data Source
AI summary
There is provided an operating environment evaluation system that includes a physical quantity acquisition unit and a generation unit. The physical quantity unit acquires a physical quantity indicating an operating environment of an image processing apparatus. The generation unit generates an operating environment properness level of the image processing apparatus based on the physical quantity that is acquired by the physical quantity acquisition unit.


