In order to ensure the operation safety of port machinery and equipment,this study designed a port machinery and equipment fault detection system based on Internet of Things technology.First of all,in the Internet of Things environment,by setting the perception layer,transmission layer,application layer and interface layer,the operation signal of port machinery and equipment is accurately collected.Secondly,wavelet decomposition is used to process the collected signals and complete the signal denoising.After the denoised signals are standardized,the operating characteristics of the equipment are extracted by principal component analysis.Finally,the feature extraction results are input into the trained decision tree algorithm to effectively achieve the accuracy of port machinery fault detection.
Internet of Things technologyport machineryequipment failuredetection system
维普
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