The Application of Intelligent Technologies in Equipment Maintenance Management

Authors

  • Hailong Jiang Kunlun Digital Intelligence Technology Co., Ltd., Beijing 102206

Keywords:

Intelligent technology, Equipment maintenance management, Fault prediction, Internet of Things, Big data

Abstract

This paper investigates the application of intelligent technologies in the domain of equipment maintenance management, with a particular focus on the specific implementation models and practical pathways of key technologies—including artificial intelligence, the Internet of Things (IoT), big data analytics, and cloud computing. By analyzing the advantages of deploying these intelligent technologies in equipment maintenance contexts and examining practical case studies, the study elucidates their significant contributions to fault prediction, maintenance decision-making, and resource optimization and allocation. At the same time, it proposes countermeasures for the technical, safety, cost and other issues faced in the application process, and looks forward to the future development trend of intelligent technologies in equipment maintenance management, aiming to provide theoretical reference and practical guidance for promoting the intelligent transformation of equipment maintenance management, and help enterprises improve equipment management efficiency, reduce operating costs, and enhance core competitiveness.

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Published

2026-03-20

Issue

Section

Articles