Ultra-high concurrency device operation process data storage based on integrated policy

Junfeng Li; Kai You; Keyun Xiong; Leiyue Yao

doi:10.1117/12.3052433

30 December 2024 Ultra-high concurrency device operation process data storage based on integrated policy

Junfeng Li, Kai You, Keyun Xiong, Leiyue Yao

Author Affiliations +

Proceedings Volume 13394, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024); 133940Y (2024) https://doi.org/10.1117/12.3052433
Event: International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024), 2024, Hohhot, China

Abstract

With the ongoing digital transformation of the traditional Chinese medicine (TCM) manufacturing industry, effectively processing and managing large-scale device operation data has become a significant challenge. The diversity and complexity inherent in TCM production, coupled with the vast amounts of data generated, necessitate innovative approaches to ensure robust data management. This paper proposes comprehensive strategies to address performance bottlenecks in data collection, storage, and real-time display. By optimizing JSON data format, designing efficient database structures, implementing read-write separation, and employing dynamic table partitioning, the efficiency of data processing and the capability for real-time display are significantly enhanced.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Junfeng Li, Kai You, Keyun Xiong, and Leiyue Yao "Ultra-high concurrency device operation process data storage based on integrated policy", Proc. SPIE 13394, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024), 133940Y (30 December 2024); https://doi.org/10.1117/12.3052433

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