高职大数据智能运维（AIOps）实训平台构建与教学改革

——面向通信运维的Lambda架构项目交付与证据化评价

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中图分类号：G420；TP3 文献标志码：A 文章编码：1672-7274（2026）02-0235-03

Construction of an AIOps Practice Platform for Vocational Big-Data Programs and Teaching Reform

--Project Delivery and Evidence-Based Evaluation for Telecom O&M with a Lambda Architecture LIU Xiaoxuan， CAO Tingrong，ZHANG Yidan （BijieIndustryPolytechnicCollege，Bijie55170o，China）

Abstract： To address the growing demand in telecom inteligent operations and maintenance （O&M） for higher vocational big-data graduates with capabilities inengineering-grade delivery and auditable compliance，this study proposes a teaching-reform framework—platform-architecture guidance， project-delivery driven learning，and closed-loop evidence-based evaluation—under a design-based research paradigm.Areproducible Lambda practice platform built on Kafka-Flink/Spark-Hive/HBase is developed，packaging three O&M task modules （KPIanomaly detection，alarm correlation and noisereduction，and capacity forecasting） together with supporting artifacts such as schema/data dictionaries，feature tables，and API contracts.Aone-semester （l8-week）quasi-experimental trial withtwo parallel classes indicates moresalientimprovements indata governance，stream processing，andofine data warehousing，while model servicedeployment and observability-driven closed-loop operation remain areas forfurther strengthening.These findings provide actionable evidence for continuous improvement ofboth the curriculum and the practice platform.

Keywords： teaching reform; industry-education integration; telecom operations and maintenance; AIOps; Lambda architecture

研究背景

新质生产力强调以数据要素与智能技术推动产业效率跃迁。（剩余5210字）