Method for measuring diameter and burial depth of steel bar in concrete based on machine learning

The invention provides a method for measuring the burial depth and diameter of a reinforcing steel bar in concrete based on machine learning. The defect that the application range of a reinforced concrete electromagnetic induction detection method is limited is overcome through machine learning. The method comprises the following steps: firstly, measuring a magnetic field on a concrete surface by using a Hall sensor to obtain the magnetic field intensity of the concrete surface under different diameters and burial depths as a training sample of a machine learning reinforcement diameter and burial depth measurement module, and inputting measurement data of the magnetic field on the concrete surface into the trained reinforcement diameter and burial depth measurement module in the concrete; and obtaining the diameter and burial depth data of the steel bar in the concrete. Compared with a traditional electromagnetic measurement method, the method has the advantages that the application range is wider, the data v