Image Forming System Sound Detection for Abnormality Cause Identification
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Solution Overview
Problem
Existing image forming systems lack the ability to automatically identify the cause of abnormal conditions, such as paper jams, which can occur due to excessive force applied by users during operation.
Innovation Solution
The system includes an image forming apparatus with a variable mechanism, a physical quantity detection unit, an abnormality detection unit, and a transmission unit to send detection results to a management apparatus. The management apparatus has a determination unit that analyzes the data to determine if the abnormal condition is caused by excessive force applied to the variable mechanism.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a warning system is implemented to alert users of excessive force, then user awareness of proper operation is improved, but automatic identification of abnormality causes is not achieved
Solution Approach 1:
The system performs preliminary detection of excessive force through sound sensors before abnormalities occur. By detecting the sound of excessive force in advance and storing this information, the system prepares the data needed for later cause identification, resolving the contradiction between providing user warnings and enabling automatic cause analysis.
Solution Approach 2:
The system establishes a feedback loop where sound detection results are stored and later referenced when abnormalities occur. This feedback mechanism allows the system to automatically identify causes by comparing current abnormality data with previously stored sound detection data, thereby achieving both user awareness and automatic cause identification.
2Measurement precision
If sound detection is used to monitor user operation, then excessive force can be detected, but automatic cause identification of subsequent abnormalities is not achieved
Solution Approach 1:
The system performs preliminary sound detection and stores the results in advance. When an abnormality occurs, the stored sound detection data is automatically retrieved and analyzed to identify the cause, thereby achieving both precise measurement of excessive force and automation of cause identification.
Solution Approach 2:
The system uses its own stored sound detection data to automatically identify the cause of abnormalities without external intervention. By self-storing and self-analyzing the sound data, the system achieves automation in cause identification while maintaining precise detection capabilities.
3Ease of operation
If only warning notifications are provided to users, then operational awareness is improved, but equipment failure prevention is insufficient
Solution Approach 1:
The system performs preliminary detection and storage of excessive force sounds, creating a database of problematic operations. When abnormalities occur, this pre-stored data enables automatic cause identification, allowing the system to not only warn users but also prevent equipment failures through automated analysis and tracking of problematic patterns.
Solution Approach 2:
The system replaces manual cause analysis with automated electronic detection and analysis. By using sound sensors and automated data retrieval systems, the system substitutes mechanical/manual troubleshooting with electronic automation, thereby improving reliability while maintaining ease of operation through automatic identification.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution enables the system to accurately identify the cause of abnormal conditions, allowing for timely intervention and reducing the risk of equipment failure and image quality issues.
Implementation Method 1
a sound collector configured to acquire a sound wave produced during operation of the variable mechanism
Implementation Method 2
a state detection unit configured to detect a change in state of the variable mechanism
Data Source
AI summary
An image forming system includes an image forming apparatus and a management apparatus. The image forming apparatus includes a variable mechanism, a physical quantity detection unit that detects a change in physical quantity caused when a state of the variable mechanism changes, an abnormality detection unit that detects an abnormal condition, and a transmission unit that transmits detection results of the physical quantity detection unit and the abnormality detection unit to the management apparatus. The management apparatus includes a determination unit that determines a cause of the abnormal condition, and a notification unit that provides a notification that the abnormal condition is caused by a change in the state in accordance with a determination result. The determination unit determines that the abnormal condition is caused by a change in the state when the abnormal condition is detected after the change in physical quantity exceeds a threshold.