Network Device Failure Risk Detection and Backup
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Solution Overview
Problem
Electronic devices are vulnerable to failures due to events like fires, blackouts, floods, and extreme temperatures, leading to data loss and device damage, as they lack effective mechanisms for data backup and communication in risky conditions.
Innovation Solution
A network device that detects failure-risk conditions, such as power spikes or temperature thresholds, and initiates data backup in non-volatile memory, while also transmitting alerts to other devices to backup their data and change settings, using reserve power sources and communication protocols to minimize damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional data storage methods are used without failure detection, then device simplicity is maintained, but data loss occurs during failure events
Solution Approach 1:
The system performs preliminary actions by detecting failure-risk conditions (power spikes, temperature thresholds, component failures) before actual device failure occurs. When risk conditions are detected, the system proactively backs up data to non-volatile memory and transmits alerts to other devices, preventing data loss without requiring complex continuous backup mechanisms
Solution Approach 2:
The system uses its own operational parameters (power consumption, temperature, component status) to detect failure risks and trigger backup actions. The device monitors itself and autonomously initiates backup procedures when internal sensors detect abnormal conditions, eliminating the need for external monitoring systems
2Reliability
If no inter-device communication is implemented, then device simplicity is maintained, but coordinated backup and damage reduction are limited
Solution Approach 1:
The system uses network messages as an intermediary to communicate failure risk conditions between devices. When one device detects a failure risk, it transmits a message to other devices on the network, coordinating backup actions and damage prevention across multiple devices without requiring direct device-to-device connections
Solution Approach 2:
The failure risk detection and communication system serves multiple functions: it detects local failure conditions, backs up local data, transmits alerts to other devices, receives alerts from other devices, and coordinates synchronized backup actions. This multi-functionality is achieved through a unified message-passing interface that handles various failure scenarios
3Reliability
If continuous backup is performed, then data preservation is improved, but energy consumption increases
Solution Approach 1:
Instead of continuous backup, the system performs periodic monitoring of failure risk conditions and executes backup actions only when risk conditions are detected. The system checks power consumption, temperature, and component status at intervals and triggers backup only when abnormal conditions occur, significantly reducing energy consumption compared to continuous backup
Solution Approach 2:
The system monitors changes in operational parameters (power consumption levels, temperature thresholds, component failure indicators) and triggers backup actions based on parameter changes indicating failure risk. This event-driven approach ensures data preservation while minimizing energy consumption during normal operation
Data Source
AI summary
Embodiments relate to systems and methods for detecting failure-risk events at devices and facilitating local and/or remote data back-up and/or device operations. In some instances, a device characterizes a stimulus sensed at the device or an operation of a component of the device. A determination is made that a failure-risk condition is satisfied based on the characterization. In response to determining that the failure-risk condition is satisfied, the device initiates a data backing up of data in a non-volatile reserved memory or facilitates transmission of an alert communication from the device to another device.