Self-healing Charging Device Diagnostic System
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Solution Overview
Problem
User devices such as smartphones and tablets experience performance degradation over time due to various causes, including outdated software and inefficient usage patterns, which current diagnostic methods are intrusive and inconvenient, requiring users to travel for diagnosis and often resulting in device unavailability during the process.
Innovation Solution
Self-healing charging devices that diagnose and remedy performance issues by leveraging performance logs and data from user devices while charging, using light-emitting indicators to communicate recommendations for improvement, and utilizing network data to predict and prevent performance degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current diagnostic methods are used to identify performance degradation causes, then diagnostic accuracy can be achieved, but user convenience deteriorates and device availability is reduced
Solution Approach 1:
The charging device autonomously performs diagnostic functions by collecting performance logs and data from the user device during charging, analyzing the data to identify performance degradation causes, and providing recommendations without requiring user intervention or device unavailability. This self-service approach maintains diagnostic accuracy while significantly improving user convenience.
Solution Approach 2:
The system collects and analyzes performance data during the charging process, which occurs routinely in the user's daily life, rather than requiring separate diagnostic sessions. This preliminary action during charging time allows the system to prepare diagnostic results before the user needs them, maintaining accuracy while improving convenience.
2Reliability
If users travel to retail stores for diagnosis, then comprehensive diagnostic services can be provided, but time loss increases
Solution Approach 1:
The charging device independently performs all diagnostic functions including data collection, analysis, and recommendation generation, eliminating the need for users to visit retail stores or service centers. This self-service capability maintains diagnostic service quality while completely eliminating the time loss associated with traveling to and waiting at service locations.
Solution Approach 2:
The charging device acts as an intermediary between the user device and the diagnostic process, collecting and analyzing performance data locally while communicating with the user through visual indicators on the charging device itself, thereby eliminating the need for physical travel to service locations.
3Loss of information
If intrusive diagnostic techniques are used to identify performance issues, then diagnostic completeness can be achieved, but user experience deteriorates
Solution Approach 1:
The charging device autonomously collects performance logs and diagnostic data from the user device during charging without requiring user interaction or disrupting normal device usage. This self-service data collection maintains diagnostic completeness while avoiding the intrusive user experience associated with manual diagnostic procedures.
Solution Approach 2:
The system continuously collects and analyzes performance data during the charging process, which occurs routinely in the user's daily life, rather than interrupting device usage for diagnostic sessions. This continuous action maintains diagnostic completeness while preserving uninterrupted user experience.
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
Enables users to identify and address performance issues without device unavailability, providing convenient and non-intrusive diagnostics and remediation, improving device performance and user experience.
Implementation Method 1
The charging device can include one or more light-emitting indicators configured to emit light in response to determining that the user device is experiencing performance degradation
Data Source
AI summary
Self-healing charging devices and techniques for identifying and/or troubleshooting causes of performance degradation in user devices are described. A charging device described herein can receive first data from a user device connected to the charging device and analyze the first data to determine diagnostic data associated with the user device. Based at least in part determining the diagnostic data, the charging device described herein can provide an indication via at least one of the charging device or the user device, the indication signifying available actions that can be taken to improve performance of the user device. The charging devices described herein can enable users to easily identify issues causing and/or leading to performance degradation on their user devices and remedy and/or prevent problems that cause the performance degradation while corresponding user devices are charging via the charging devices.