Author(s)

Shenxiang Zhu ¹

Affiliation(s)

¹ School of Information and Intelligence Engineering, University of Sanya, Sanya, Hainan, 572022, China

Corresponding Author

Shenxiang Zhu

ABSTRACT

University computer laboratories undertake the core functions of practical teaching, scientific research innovation, and talent cultivation. However, their management and operation face prominent problems such as fragmented information systems, lagging data collection methods, decision-making reliant on experience, and low levels of security intelligence. Traditional management models struggle to adapt to the reality of expanding laboratory scale and diversified service demands. The introduction of big data technology provides a new technical approach for refined laboratory management. Based on a systematic analysis of the current status and problems of computer laboratory management, this study constructs a four-layer management system architecture covering the infrastructure layer, data warehouse layer, virtual resource layer, and application service layer. IoT sensors and business systems enable multi-source data acquisition, Hadoop ecosystem technologies support massive data storage and processing, clustering analysis and neural network algorithms mine data value, and containerization and cloud desktop technologies ensure flexible deployment of experimental environments. Focusing on core scenarios such as experimental teaching, equipment assets, and open sharing, functional modules such as teaching process monitoring, equipment health assessment, reservation scheduling linkage, and resource sharing reuse are designed. Research shows that big data technology promotes laboratory management from experience-based judgment to data quantification, and from passive response to proactive prediction, providing an implementation path and technical support for refined and intelligent laboratory management.

KEYWORDS

Big Data Technology; Computer Laboratory; Laboratory Management; Data-Driven; Refined Management; Internet of Things

CITE THIS PAPER

Shenxiang Zhu. Application of Big Data Technology in Computer Laboratory Management. Journal of Artificial Intelligence Practice (2026). Vol. 9, No. 1, 39-46. DOI: http://dx.doi.org/10.23977/jaip.2026.090106.

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