Structural health monitoring abnormal data diagnosis method based on computer vision and deep learning technology

Abstract

The invention provides a structural health monitoring abnormal data diagnosis method based on computer vision and deep learning technology, and aims at solving the problems of overtreatment and under-treatment due to the fact that the present method has difficulty to handle the situations with multiple abnormal patterns and the disadvantages of low degree of automation and high cost of manual expert intervention. The method comprises the steps that the monitoring data to be diagnosed are converted into the time domain response image data and the frequency domain response image data from the time sequent data through data visualization processing; a two-channel time-frequency response diagram is formed according to the time domain response image data and the frequency domain response imagedata corresponding to the same data segment; the samples are selected from the two-channel time-frequency response diagram and the abnormal type of the samples is marked so as to form a training set;the training set is inputted to a convolutional neural network model, and the trained model acts as the abnormal data diagnosis instrument; and the monitoring data to be diagnosed are inputted to theabnormal data diagnosis instrument so as to obtain the diagnosis result. The method is suitable for structural health data monitoring.

Description

technical field

[0001] The invention relates to the technical fields of machine learning, signal processing, and civil engineering structural health monitoring, and in particular to a method for diagnosing abnormal data of structural health monitoring based on computer vision and deep learning technology. Background technique

[0002] In today's civil engineering field, with the aging of many building structures and the construction of more and more large and complex infrastructures, Structural Health Monitoring (SHM), as an important tool for monitoring, management and maintenance, has been widely used in engineering Practice. The monitoring system can not only monitor the various responses of the structure in real time, provide a reference for the state assessment of the structure, but also provide a basis for the repair and maintenance of the structure. Its role is directly related to the safety and availability of the structure. Since the initial application of structu...

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