Abstract: In large-scale, high-frequency data collection scenarios, how to efficiently manage and store data has become an urgent problem to be solved. Centering on the optimization of data storage performance and data security guarantee for intelligent terminals, optimization methods are proposed from three perspectives: read and write performance optimization, data security design, and proactive prevention strategies. By introducing data partitioning, in-memory database and cache technology, and analyzing based on write amplification factors, a test system was designed to evaluate the impact of optimization measures on performance and storage life. Experimental results show that the optimized data storage system significantly improves data read and write performance, especially in high-frequency access and large-scale data scenarios, with data read performance improved by 48.9% and synchronous write performance improved by 57.6%. At the same time, by optimizing the write amplification factor, the data volume written to the eMMC memory has been reduced to 4.9% of the original, effectively extending the lifespan of the storage device and enhancing data security.

    Key words: intelligent terminal; storage performance; in-memory database; data cache; data security; proactive prevention strategy