Tower mast structure damage position image recognition method

• Main Authors: QI BAOJIN, LI CHANGPING, GE HAIJUN, GAO HONGSHUAI, LI LIANG
• Format: Patent
• Language: Chinese; English
• Published: 24.02.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

The invention relates to a tower mast structure damage position image recognition method, in particular to a tower mast structure damage position image recognition method. The objective of the invention is to solve the problems of low identification efficiency and low identification accuracy caused by manual detection of the damage of the existing tower mast structure, which is time-consuming and labor-consuming. The method comprises the following steps: 1, acquiring a tower mast structure image by using an unmanned aerial vehicle, and preprocessing the acquired tower mast structure image to obtain a preprocessed image as a training sample data set; 2, constructing a tower mast structure damage position image recognition network; 3, inputting the obtained training sample data set into the constructed tower mast structure damage position image recognition network for training so as to obtain a trained tower mast structure damage position image recognition network; and 4, inputting a to-be-identified tower mast