IoT Device Connection State Analysis for Data Locking
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Solution Overview
Problem
Existing information processing devices struggle with accurately determining the cause of network or power supply disruptions, leading to unnecessary data locking and unlocking issues, especially in unstable IoT environments.
Innovation Solution
An information processing device equipped with a state determination unit, cause selection unit, and response processing unit that analyzes sensor data to differentiate between theft, disaster, and power cut scenarios, allowing for appropriate responses and minimizing unnecessary data locking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data locking is performed uniformly when network connection or power supply is cut, then data protection is improved, but unnecessary locking occurs due to unstable network environments
Solution Approach 1:
The system changes the parameter of connection state detection from simple binary connection status to multi-dimensional analysis including connection quality, device location, and operational state. By analyzing these varying parameters, the system can distinguish between temporary network instability and actual theft scenarios, applying data locking only when necessary and avoiding unnecessary unlocking operations.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring connection state changes, device location, and operational status. When network connection is cut, the system receives feedback about the underlying cause (theft vs. unstable network) and adjusts its response accordingly. This feedback loop enables the system to maintain data protection while avoiding unnecessary locking that would complicate unlocking operations.
2Speed
If connection state changes are detected without analyzing causes, then response speed is improved, but inappropriate responses occur in unstable environments
Solution Approach 1:
The system performs preliminary analysis of connection state changes by collecting and analyzing multiple parameters (connection quality, device location, operational state) before triggering a response. This preliminary action filters out false positives from unstable network environments while maintaining the ability to respond quickly to actual theft scenarios through pre-established response protocols.
Solution Approach 2:
The system segments the response process into distinct stages: detection of connection state change, analysis of cause through multi-parameter evaluation, and selection of appropriate response action. This segmentation allows the system to maintain fast response capability while improving accuracy by separating the rapid detection function from the analytical judgment function.
3Measurement precision
If multiple sensors and analysis units are added to determine connection change causes, then response accuracy is improved, but device complexity increases
Solution Approach 1:
The system implements multi-functionality by having a single cause analysis unit that processes multiple types of sensor data (connection quality, device location, operational state) to determine the cause of connection changes. This universal approach improves cause determination accuracy without proportionally increasing device complexity, as one analysis unit handles multiple measurement functions rather than requiring separate specialized units for each sensor type.
Data Source
AI summary
An information processing device includes: a state determination unit that determines a change in a state of connection between the information processing device and an external device or a power supply; a cause selection unit that selects from a plurality of choices, a cause of the determined change in the state of connection; and a processing unit that performs a process in accordance with the selected choice.