大数据驱动下的质量监测系统优化研究

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doi：10.3969/J.ISSN.1672-7274.2025.06.001

中图分类号：TP39 文献标志码：B 文章编码：1672-7274（2025）06-0001-03

Research on Optimization of Quality Monitoring System Driven by Big Data

LIU Guijun

（ShenyangUniversity of Technology， Shenyang11o159，China）

Abstract： In order to improve the data processing efficiency，feedback accuracy，and system reliability of the education and teachingquality monitoring system，this study adopts real-time data processing technology，unified data interface standards，and distributed encrypted storage solutions to optimize and analyze the traditional teaching quality monitoring system.Theresearchresults indicate that these optimization strategies significantly improve system performance，enhance the accuracy and real-time performance of data analysis，reduce data processng latency and securityrisks，provide efcientandreliable teachingquality monitoringsupport foreducation managers，and promote the intelligent and data-driven development of education management.

Keywords： big data; quality monitoring; data processing

本研究聚焦教育教学质量监测系统的优化，通过引入实时数据处理技术、统一数据接口标准和分布式加密存储方案，提升系统的性能和智能化水平。（剩余4136字）