Building large-scale equipment fault early warning system based on Internet of Things

The invention belongs to the technical field of equipment production supervision, and particularly relates to a large-scale equipment fault early warning system based on Internet of Things, which comprises a server, a fault model training module, a data acquisition module, a data preprocessing module and a fault prediction module, according to the invention, the fault prediction model is trained through the fault model training module, and the fault prediction module inputs the preprocessed data of the large-scale equipment construction process into the fault prediction model to obtain the fault prediction result, so that the fault in the large-scale equipment construction process can be efficiently detected and accurately identified; effective early warning is carried out after a fault occurs, the early warning volume of the construction early warning end is automatically and adaptively adjusted through an early warning end detection and adjustment module, and the operation condition of the construction earl