Automated Failure Diagnosis System for Electronic Devices
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Solution Overview
Problem
Current methods for diagnosing and addressing failures in electronic devices, such as image forming apparatuses, are inefficient due to reliance on on-site service personnel, varying diagnosis times, and lack of analysis for appropriate measures post-diagnosis, leading to prolonged downtime and potential inefficiencies in repair processes.
Innovation Solution
An information processing system that acquires and analyzes state information from electronic devices to determine the cause of failure and necessary measures, enabling automated failure diagnosis and optimal resource allocation, including dispatching the appropriate service engineer based on location and expertise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If automated failure diagnosis using probabilistic models is implemented, then diagnosis speed and consistency are improved, but the system cannot determine appropriate repair measures post-diagnosis
Solution Approach 1:
The failure diagnosis system is segmented into two distinct functional modules: a failure cause determination module that identifies the root cause using probabilistic models, and a repair measure determination module that selects appropriate repair actions based on the diagnosed cause. This segmentation allows each module to specialize in its specific function while working together to provide complete failure analysis and resolution guidance.
Solution Approach 2:
The repair measure determination module acts as an intermediary that receives the failure cause output from the diagnosis module and translates it into actionable repair measures. This intermediary component bridges the gap between diagnosis and repair by mapping diagnosed failure causes to appropriate repair procedures, ensuring that complete information is provided to service personnel.
2Reliability
If service personnel are dispatched for on-site repair, then comprehensive examination and repair can be performed, but diagnosis and repair time vary depending on personnel ability and location
Solution Approach 1:
The system performs preliminary failure diagnosis and repair measure determination before service personnel arrive on-site. By pre-identifying the failure cause and determining the appropriate repair measures, the system enables service personnel to prepare necessary parts and tools in advance, eliminating time spent on-site for diagnosis and reducing total repair time while maintaining repair completeness.
Solution Approach 2:
The system incorporates feedback mechanisms where service personnel input actual failure symptoms and repair outcomes, which are then used to refine and update the probabilistic failure models and repair measure databases. This continuous feedback loop improves the accuracy of future diagnoses and ensures that repair procedures remain current and effective.
Data Source
AI summary
An information processing system includes a storage unit that stores and associates a cause of a failure that has occurred in an electronic device, state information of the electronic device at the time the failure has occurred in the electronic device due to the cause of the failure, and a measure to be implemented in response to the cause of the failure. The information processing system further includes at least one processor that performs an acquisition process for acquiring the state information of the electronic device, and a failure diagnosis process for determining the cause of the failure that has occurred in the electronic device and the measure to be implemented in response to the cause of the failure based on the acquired state information of the electronic device.