Wireless Audio Backup Control Under Poor Link Quality
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Solution Overview
Problem
Existing communication systems fail to appropriately handle audio data backup when wireless transmission quality is compromised, leading to potential loss of data or reduced quality, and do not address the issue of storage capacity management effectively.
Innovation Solution
A communication apparatus and method that includes real-time data tagging and automatic deletion prohibition based on wireless communication quality indicators, such as signal strength and signal-to-noise ratio, to ensure high-quality audio data is preserved and stored efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If audio data is accumulated in storage medium for backup, then data retention capability is improved, but storage space decreases and automatic deletion becomes necessary
Solution Approach 1:
The system performs preliminary tagging of audio data with communication quality indicators before storage, and pre-establishes deletion criteria based on these tags. This allows the system to automatically identify and preserve high-quality backup data while deleting low-quality data, resolving the contradiction between data retention and storage space management.
Solution Approach 2:
The system applies different quality assessment and retention policies to different audio data based on their communication quality indicators. High-quality data (with good signal strength and low noise) is preserved for backup, while low-quality data is automatically deleted, creating a differentiated storage strategy that optimizes both retention capability and storage space utilization.
2Quantity of substance
If automatic deletion is implemented for storage management, then storage capacity is maintained, but potentially poor-quality data may be deleted
Solution Approach 1:
The system uses feedback from communication quality indicators (signal strength, noise levels, transmission errors) to dynamically control the deletion process. By continuously monitoring these indicators and using them to tag audio data, the system can make informed decisions about which data to delete, ensuring that poor-quality data is removed while preserving storage capacity.
Solution Approach 2:
The system changes the parameter of data quality assessment by introducing communication quality indicators as tagging parameters. This allows the deletion decision to be based on objective measurements of transmission quality rather than arbitrary time-based or size-based criteria, resolving the contradiction between maintaining storage capacity and preserving data quality.
3Measurement precision
If communication quality monitoring is performed for data tagging, then data quality assessment is improved, but system complexity increases
Solution Approach 1:
The communication apparatus performs self-assessment of its own transmission quality by monitoring its own communication indicators (signal strength, noise levels). This self-service approach eliminates the need for complex external quality assessment systems, reducing overall system complexity while maintaining precise data quality measurement through the use of standard communication parameters.
Data Source
Figure 1
Figure 2A~2B
Figure 3A~3B
AI summary
A communication apparatus (400) including audio capturing means (405) wirelessly communicate with an external apparatus (300) and transmit captured audio data. The apparatus stores the captured audio data and control deletion of the store audio data according to a predetermined rule. In a case where a wireless communication state with the external apparatus relating to transmission of the captured audio data does not satisfy a predetermined condition, the apparatus performs control so that the stored audio data is not deleted according to the predetermined rule.