Baseboard Management Controller Error Image Capture
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Solution Overview
Problem
Existing monitoring techniques for information processing apparatuses face difficulties in recording data from error screens, such as blue screens or kernel panic screens, due to short display times and the inability to capture images when the OS is not functioning, making it challenging for unskilled operators to analyze errors, especially when errors are non-reproducible.
Innovation Solution
An information processing method that captures images displayed on a console, determines if they match a preset error screen condition, and saves relevant images in a memory unit within a predetermined time period or number, using a baseboard management controller to automate the process even when the OS is not operational.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual screen shot recording is performed, then error screen data can be captured, but it requires skilled operator intervention and cannot capture errors with short display times
Solution Approach 1:
The system performs automatic error screen capture without requiring operator intervention. The baseboard management controller autonomously monitors console output, detects error screens based on preset conditions, and saves the images automatically, eliminating the need for skilled operators to manually capture screenshots during error events.
Solution Approach 2:
The system pre-configures error detection conditions and monitoring parameters before errors occur. The baseboard management controller is set up with preset conditions for identifying error screens, enabling it to automatically capture and save error images as soon as they occur, without requiring post-error analysis or manual intervention.
2Loss of information
If error screens are captured manually, then some error data can be recorded, but errors with short display times are missed
Solution Approach 1:
The baseboard management controller periodically monitors the console output at predetermined intervals to detect error screens. This continuous periodic checking ensures that even error screens with very short display times are captured, as the monitoring occurs repeatedly throughout the system's operation.
Solution Approach 2:
The system implements feedback by continuously checking console output against preset error conditions and automatically triggering capture when errors are detected. This closed-loop monitoring ensures that error screens are captured based on actual detected conditions rather than manual timing, preventing information loss from brief error displays.
3Extent of automation
If automated image capture is implemented, then error analysis can proceed without operator intervention, but system complexity increases
Solution Approach 1:
The baseboard management controller serves as an intermediary between the system console and the image storage. It monitors console output, detects error conditions, captures images, and saves them to storage devices, thereby automating the error capture process without requiring complex integration between multiple system components.
Solution Approach 2:
The baseboard management controller performs multiple functions including system monitoring, error detection, image capture, and data storage management. By consolidating these functions in a single component, the system achieves high automation without proportionally increasing overall system complexity.
Data Source
AI summary
An information processing method for monitoring errors that occur in an information processing apparatus includes: (A) capturing an image to be outputted to a console, sequentially; (B) determining whether the captured image satisfies a condition regarding a preset error display screen; and (C) upon determining that the captured image satisfies the condition, saving in a saving area of a memory unit, data of images that were captured within a predetermined time period, which includes a time when the image that satisfies the condition was captured, or data of a predetermined number of images, which include the image that satisfies the condition.


