Construction lifting machinery equipment plays an important role in construction operations, but due to complex environments and high-intensity use, it is prone to malfunctions, causing economic losses to enterprises and users. This research aims to realize intelligent monitoring, fault diagnosis and predictive maintenance of construction machinery equipment based on industrial Internet platform, Internet of Things and artificial intelligence technology, so as to reduce maintenance costs, improve equipment efficiency, and promote digital transformation of the industry.
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Huang et al. (2024) studied this question.
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