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Application of Big Data Technology in Mechanical Management

Banglang Chen

Abstract


This study investigates the extensive application of big data technology in mechanical management systems. It outlines a universal
framework that supports such technologies, analyzes implementation pathways across key scenarios including real-time condition monitoring,
maintenance strategy optimization, scheduling plan adjustments, and decision support, while identifying current challenges through practical
evaluations. The research aims to provide a universal reference for intelligent upgrading of mechanical management across industries, driving
the sector toward more efficient, precise, and sustainable development.

Keywords


Big data technology; Mechanical management

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References


[1] Qin Chengyu. Research on the Application of Big Data Technology in Precision Agricultural Machinery Management [J]. Southern Agricultural Machinery, 2025, 56(03):83-86.

[2] Fu Jing. A Brief Discussion on the Application of Intelligent Terminals in Engineering Equipment Management [J]. Construction Mechanization, 2025, 46(06):56-60.

[3] Shang Yun and Liu Guoqiang. Big Data Empowers Precision Agriculture Research: A Case Study of Lanzhou White Peach Cultivation [J].

Journal of Lanzhou Vocational and Technical College, 2024, 40(03):25-28+40.

[4] Lu Kai, Shao Chihua, Guo Yongkang et al. Research and Application of Intelligent IoT Cloud Management Service Platform for Construction Machinery [J]. Construction Mechanization, 2024, 45(08):12-15.




DOI: http://dx.doi.org/10.70711/aitr.v3i3.8030

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