Remote Mobile Device Diagnostics via Model-Specific Test Selection
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Solution Overview
Problem
Current mobile device troubleshooting methods are inefficient and require users to physically visit retail locations or customer care centers, leading to lengthy resolution times and increased costs for both users and service providers.
Innovation Solution
A diagnostic system that establishes a communication link with a mobile device to determine its model identity and perform automated diagnostic tests, selecting appropriate tests based on the model and history of issues, allowing for remote troubleshooting and corrective actions such as software updates or presenting instructions for user-performed repairs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated diagnostic system is implemented, then diagnostic efficiency and productivity are improved, but device complexity and initial costs increase
Solution Approach 1:
The patent introduces a communication link as an intermediary between the diagnostic system and the mobile device. This intermediary enables automated data exchange and remote diagnostics without requiring complex physical connections or user intervention, resolving the contradiction by simplifying the interaction interface while maintaining high diagnostic efficiency.
Solution Approach 2:
The diagnostic system performs automated model identity determination and selective test execution without requiring user input or manual operation. The system independently identifies the device model, selects appropriate diagnostic tests from a library, and executes them automatically, thereby achieving high productivity while keeping the operational interface simple.
2Loss of time
If remote diagnostics are performed, then loss of time and travel costs are reduced, but measurement precision and diagnostic accuracy may worsen
Solution Approach 1:
The system performs preliminary model identity determination before executing diagnostic tests. By first identifying the specific device model and then selecting tests tailored to that model's characteristics, the system ensures high diagnostic accuracy remotely. This preliminary action enables the system to compensate for the lack of physical inspection while maintaining precision equivalent to or better than manual troubleshooting.
Solution Approach 2:
The diagnostic system adapts its test selection and execution parameters based on the identified device model. Different models receive different sets of diagnostic tests optimized for their specific hardware and software configurations. This parameter adaptation ensures that remote diagnostics achieve the same or higher accuracy as in-person diagnostics while eliminating travel time and enabling parallel processing of multiple devices.
3Reliability
If model-specific diagnostic tests are selected, then reliability and diagnostic precision are improved, but device complexity and data processing requirements increase
Solution Approach 1:
The patent segments the diagnostic test library into model-specific subsets. Instead of presenting users with a complex menu of all possible tests, the system automatically divides the comprehensive test library into relevant portions based on the identified device model. This segmentation ensures reliable, model-appropriate diagnostics while keeping the user interface simple and the processing requirements manageable.
Solution Approach 2:
The diagnostic system dynamically adjusts its test selection based on real-time identification of the device model. The system flexibly configures which tests to execute from the library, adapting to different device types, operating systems, and hardware configurations. This dynamic adaptation ensures high reliability across diverse device types while the automated nature of the process prevents complexity from manifesting at the user level.
Data Source
AI summary
A system for electronic device diagnostics is provided. The system comprises a computer, a memory coupled to the computer, and an application stored in the memory. The application establishes a communication link with a first electronic device, where the first electronic device has previously been sold. The application then determines a first model identity of the first electronic device via the first communication link, and based on the first model identity, selects a first plurality of diagnostic tests from a library. Additionally, the application performs the diagnostic tests, at least some of which comprise invoking commands on the first electronic device via the first communication link. Based on a result of the diagnostic tests, either a command is invoked via the first communication link to perform a corrective procedure on the first electronic device, or a description of a corrective procedure to perform is presented on the first electronic device.