Image Forming Systems With Dynamic Data Collection Settings
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Solution Overview
Problem
Conventional image forming systems face challenges in efficiently managing operation history data collection and analysis, leading to inefficiencies in maintaining analysis accuracy and operational costs, particularly in systems using pay-as-you-go billing models.
Innovation Solution
An image forming system and apparatus that includes a collecting unit for data collection based on customizable settings, allowing for flexible adjustment of data collection levels and analysis accuracy, with a server apparatus capable of analyzing the collected data and providing feedback to adjust these settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data collection settings are fixed to ensure predetermined analysis accuracy, then analysis accuracy is maintained, but operational costs cannot be optimized based on actual needs
Solution Approach 1:
The patent implements dynamic adjustment of data collection settings based on actual analysis needs. The collection data setting unit modifies data collection parameters in response to analysis results and changing requirements, allowing the system to adapt between high accuracy modes and cost-effective modes depending on actual operational needs.
Solution Approach 2:
The system changes data collection parameters such as collection scope, frequency, and data types based on analyzed operation history and user requirements. This allows flexible adjustment of the balance between analysis accuracy and operational costs by modifying collection data settings according to actual needs.
2Measurement precision
If more data is collected to improve analysis accuracy, then analysis accuracy improves, but operational costs increase
Solution Approach 1:
The system collects only the necessary minimum data required for maintaining adequate analysis accuracy. By analyzing operation history and determining actual needs, the system avoids excessive data collection while ensuring sufficient information for accurate maintenance predictions and analysis.
Solution Approach 2:
The collection data setting unit adjusts data collection parameters dynamically based on analysis results. When analysis shows that certain data types or collection frequencies are not necessary, the system reduces collection effort, thereby lowering operational costs while maintaining adequate accuracy.
3Loss of energy
If data collection settings are frequently adjusted to optimize costs, then operational costs are reduced, but system complexity increases
Solution Approach 1:
The system automatically adjusts data collection settings based on its own analysis results and stored operation history. The collection data setting unit makes intelligent decisions about optimal collection parameters without requiring manual intervention, thereby reducing operational costs while keeping the adjustment process simple and automated.
Solution Approach 2:
The system uses feedback from analysis results to automatically modify data collection settings. By continuously monitoring analysis outcomes and comparing them with operational requirements, the system self-adjusts collection parameters to optimize the balance between accuracy and cost, reducing complexity through automated feedback loops.
Data Source
AI summary
An image forming system includes an image forming apparatus and a server apparatus capable of communicating with the image forming apparatus. The image forming apparatus includes a collecting unit for collecting operation history data relating to an operation history of the image forming apparatus on the basis of a collection data setting which is a setting relating to collection of data and for transmitting the collected operation history data to the server apparatus. The server apparatus includes an analyzing unit for analyzing the operation history data and a collection data setting unit for providing notification to the image forming apparatus so that the collection data setting is changed on the basis of an analysis result of the analyzing unit.