Illumination Detector for Automated Component Failure Notification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Modern computing systems face challenges in detecting component failures due to the limitations of traditional diagnostics, which are costly and lack effective remote troubleshooting methods.
Innovation Solution
The system employs an illumination detector and an illumination event identifier to detect and determine if an illumination event is associated with a component failure, sending notifications automatically when such an event is detected, utilizing a digital imaging device and sensors to analyze light sources and wavelengths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional computing system diagnostics with human intervention are used, then diagnostic accuracy can be maintained, but cost increases and remote troubleshooting capability is limited
Solution Approach 1:
The system enables self-diagnosis by having the computing system automatically detect component failures through illumination sensors and generate notifications without human intervention. The illumination detector continuously monitors for abnormal light emissions from components, and when a failure is detected, the system automatically sends notifications to appropriate personnel, eliminating the need for manual diagnostic procedures.
Solution Approach 2:
The patent replaces manual mechanical diagnostic procedures with an automated optical detection system. Instead of technicians physically inspecting components, the system uses illumination detectors and sensors to automatically detect abnormal light emissions from failing components, substituting human mechanical inspection with automated optical sensing and electronic notification.
2Productivity
If automated detection systems are implemented, then diagnostic efficiency and productivity improve, but device complexity increases
Solution Approach 1:
The illumination detector serves multiple functions: it continuously monitors for abnormal light emissions, identifies the specific component emitting light, determines the nature of the failure based on illumination characteristics, and triggers notifications. This multi-functional approach consolidates what would otherwise require separate diagnostic tools and procedures into a single integrated system.
Solution Approach 2:
The system introduces an illumination detector as an intermediary between the computing system components and the diagnostic process. Rather than directly monitoring electrical or mechanical parameters, the detector indirectly senses component status through light emissions, providing a simplified interface that translates complex component states into detectable optical signals.
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 approach enables automated detection and notification of component failures without human intervention, improving diagnostic efficiency and reducing costs by using sensors to analyze light sources and wavelengths, allowing for timely identification and addressing of issues within computing systems.
Implementation Method 1
detecting, by an illumination detector, an illumination event in the computing system
Data Source
AI summary
Detecting system component failures in a computing system, including: detecting, by an illumination detector, the occurrence of an illumination event in the computing system; determining, by an illumination event identifier, whether the illumination event is associated with a suspected component failure in the computing system; and sending, by a notification system, a failure event notification upon determining that the illumination event is associated with a suspected component failure in the computing system.