Playback Calibration State Tracking Across Power Cycles
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing media playback systems lack efficient methods to maintain and update the calibration state of playback devices across a networked system, leading to potential audio quality issues when devices are powered off and back on or when their configuration changes.
Innovation Solution
The implementation of a calibration state variable that is stored and shared among playback devices and control devices within a media playback system, allowing for the retention of calibrated states during power cycles and triggering calibration procedures for uncalibrated devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If playback devices are powered off and back on or their configuration changes, then the system can adapt to new conditions, but the calibration state is lost leading to audio quality degradation
Solution Approach 1:
The system performs preliminary actions by storing the calibration state variable in persistent memory before power-off or configuration changes occur. This allows the calibration information to be preserved and reused when the device powers back on, eliminating the need to re-calibrate and maintaining audio quality across system changes.
2Reliability
If calibration state is stored locally on each playback device, then calibration information is preserved during power cycles, but system complexity increases due to distributed state management
Solution Approach 1:
The calibration state management is segmented into two parts: local storage on each playback device for immediate retention, and centralized storage on the control device for system-wide coordination. This segmentation allows each component to handle only its portion of the complexity, with the playback device managing its own calibration state locally while the control device manages the overall system state synchronization.
3Reliability
If calibration procedures are triggered for uncalibrated devices, then audio quality is maintained, but system productivity decreases due to additional calibration steps
Solution Approach 1:
The system implements feedback by continuously monitoring the calibration state variable and automatically triggering calibration procedures only when the variable indicates that calibration is needed. This feedback mechanism prevents unnecessary calibration operations, thereby maintaining audio quality while minimizing system setup time and maximizing productivity.
Data Source
AI summary
Example techniques involve a calibration state variable. An example implementation receives, via a network interface, an indication that the first playback device is calibrated. Based on receiving the indication that the first playback device is calibrated, the example implementation updates a calibration state variable to indicate that the first playback device is calibrated, wherein the calibration state variable is stored in the data storage. The example implementation sends, via the network interface, an indication of the updated calibration state variable to a second device.


