Cloud-Based Display Diagnostic System for Complex Screens
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Solution Overview
Problem
The complexity of modern display devices with advanced functions complicates on-site detection and repair, as conventional detection devices have limited debug capabilities and require specialized knowledge from repair personnel to diagnose software and hardware issues effectively.
Innovation Solution
A display device detection system comprising a front debug device, a portable device, and a cloud debug device, where the front debug device sends commands to the display device, and the cloud debug device analyzes the received information using a database to generate diagnostic results, which are then displayed on the portable device, allowing for remote expertise and real-time image analysis to facilitate easier troubleshooting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If display devices have more complex functions, then device functionality is improved, but detection difficulty increases
Solution Approach 1:
The detection system is segmented into multiple specialized components: a front-end detection device for initial diagnosis, a portable device for data transmission and cloud connection, and a cloud-based detection device for comprehensive analysis. This segmentation allows each component to focus on specific detection tasks, managing the complexity of modern display devices with multiple screens, audio devices, and operating systems.
Solution Approach 2:
The portable device serves as an intermediary between the front-end detection device and the cloud-based detection device. It receives detection data from the front-end device, transmits it to the cloud for advanced analysis, and delivers results back to the technician. This intermediary role enables sophisticated detection capabilities while keeping the on-site equipment relatively simple.
2Device complexity
If conventional detection devices are used, then device simplicity is maintained, but detection capability is limited
Solution Approach 1:
The system transitions from local on-site detection to cloud-based detection by adding a spatial dimension. The front-end device remains simple and portable for on-site use, while the complex analysis capabilities are moved to the cloud dimension, accessible through network connection. This allows unlimited detection capability without increasing on-site device complexity.
Solution Approach 2:
The cloud-based detection device provides universal detection capabilities that can handle various types of display devices (smart TVs, monitors, tablets, mobile phones) and their diverse functions (display, audio, operating systems). This multi-functional cloud platform eliminates the need for multiple specialized detection devices while maintaining simplicity at the on-site level.
3Productivity
If repair personnel have limited knowledge, then hiring cost is reduced, but detection accuracy decreases
Solution Approach 1:
The system provides automated feedback through the cloud-based analysis that guides repair personnel through the detection process. The cloud device analyzes detection data, identifies issues, and provides diagnostic results with specific repair recommendations. This feedback mechanism compensates for limited technician knowledge while maintaining cost-effective hiring.
Solution Approach 2:
The detection system performs self-service through automated cloud-based diagnosis. The system automatically analyzes detection data, identifies problems, and generates diagnostic reports without requiring extensive technician expertise. This self-diagnostic capability ensures accurate detection regardless of the technician's knowledge level.
Data Source
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AI summary
A display device detection system is for detecting a display device. The display device detection system includes a front debug device, a portable device, and a cloud debug device. The front debug device is signally connected to the display device. The front debug device transmits a first debug command to the display device and receives first debug information from the display device. The portable device is signally connected to the front debug device and receives the first debug information. The cloud debug device is signally connected to the portable device. The cloud debug device includes an analysis module and a detection database. The cloud debug device receives the first debug information from the portable device. The analysis module analyzes the first debug information and searches the detection database to generate a debug analysis result. The cloud debug device transmits the debug analysis result to the portable device.