Electronic Device Damage Detection for Automatic Data Backup
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Solution Overview
Problem
Electronic devices are susceptible to damage events such as falls, impacts, overheating, and water exposure, which can result in data loss from volatile and non-volatile memories without immediate detection and backup solutions.
Innovation Solution
The electronic device includes sensors to detect potential damage conditions and automatically backs up data to local or remote storage, prioritizing critical data for preservation even if the device is damaged or loses power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data is stored in volatile memory for quick access, then speed of data access is improved, but reliability of data preservation deteriorates when damage events occur
Solution Approach 1:
The system performs preliminary actions by continuously monitoring sensor data for damage conditions and automatically initiating data backup operations before actual damage occurs. When sensors detect parameters indicating potential damage (such as excessive temperature, impact, or moisture), the system proactively copies critical data from volatile memory to non-volatile storage, ensuring data preservation without user intervention.
Solution Approach 2:
The system creates copies of data stored in volatile memory and transfers them to non-volatile memory storage. This copying mechanism ensures that even if the original data in volatile memory is lost due to device damage, recovered data can be retrieved from the non-volatile storage, thus resolving the reliability issue while maintaining the speed advantage of volatile memory during normal operation.
2Reliability
If automatic damage detection and backup operations are implemented, then reliability of data preservation is improved, but device complexity increases
Solution Approach 1:
The system employs a multi-functional approach where existing sensor components (temperature sensors, accelerometers, moisture sensors) serve dual purposes: their primary functions for device operation and an additional function for damage condition detection. The processor also handles both normal device operations and damage detection/backup coordination, reducing the need for dedicated separate systems and thereby limiting complexity increase.
Solution Approach 2:
The system implements self-service functionality where the device automatically monitors its own condition through integrated sensors and autonomously initiates backup operations when damage conditions are detected, without requiring external intervention or complex user interfaces. This self-managing approach simplifies the overall system architecture compared to manual backup solutions.
3Reliability
If continuous sensor monitoring for damage detection is performed, then reliability of damage detection is improved, but energy consumption increases
Solution Approach 1:
Instead of continuous monitoring, the system employs periodic sampling of sensor data at predetermined intervals. The processor checks sensor readings at scheduled times to detect damage conditions, which reduces energy consumption compared to continuous monitoring while maintaining adequate detection reliability. The periodic action allows the system to balance between detection accuracy and power savings, especially important for portable devices with battery constraints.
Data Source
AI summary
This disclosure provides systems, methods, and devices for memory systems that support automatic backup of data upon detection of a potential damage condition. In a first aspect, a method includes detecting, by at least one processor of an apparatus, a potential damage condition for the apparatus and, in response to detection of the potential damage condition for the apparatus, performing, by the at least one processor of the apparatus, a data backup of data stored in at least one memory of the apparatus. Other aspects and features are also claimed and described.