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

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.