Proposed system improves error capture rate and deployment efficiency in wearable devices, indicating streamlined maintenance.
This paper proposes a unified fault reporting system architecture based on Android Open Source Platform (AOSP) for multi-platform wearable devices (e.g. smart glasses and smart watches) to realize efficient fault capture, data integration and uploading mechanism. The system integrates the diagnostic interfaces of multiple device teams, and significantly simplifies the system deployment and maintenance burden by unifying the SDK packaging and uploading protocols. Experimental results show that the system can stably support the diagnostic needs of millions of terminals, with a 31.2% improvement in error capture rate and 54.8% improvement in cross-platform deployment efficiency. This study provides a reusable and scalable solution for system health diagnosis of large-scale wearable platforms.
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Wu et al. (2025) studied this question.
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