大數(shù)據(jù)驅(qū)動(dòng)下的質(zhì)量監(jiān)測(cè)系統(tǒng)優(yōu)化研究

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doi：10.3969/J.ISSN.1672-7274.2025.06.001

中圖分類號(hào)：TP39 文獻(xiàn)標(biāo)志碼：B 文章編碼：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

本研究聚焦教育教學(xué)質(zhì)量監(jiān)測(cè)系統(tǒng)的優(yōu)化，通過(guò)引入實(shí)時(shí)數(shù)據(jù)處理技術(shù)、統(tǒng)一數(shù)據(jù)接口標(biāo)準(zhǔn)和分布式加密存儲(chǔ)方案，提升系統(tǒng)的性能和智能化水平。（剩余4136字）