In response to the current situation of low efficiency and poor detection accuracy in the inspection of the appearance status of railway sound barriers and in order to meet the needs of automation and intelligent detection,research on intelligent detection technology for apparent diseases of sound barriers has been carried out.This article investigated and analyzed the current status of sound barrier detection technology,and proposed an image-based intelligent detection technology scheme for railway sound barrier apparent diseases.We focused on researching the implementation methods of key technologies such as appearance imaging of sound barriers,master-slave collaborative control,and online recognition,and conducted experimental verification on some functions.Based on the steel rail inspection vehicle for image acquisition,with a detection speed of 80 km/h,a typical sample dataset of sound barrier diseases was established to verify the feasibility and effectiveness of online recognition.The results indicated that the intelligent detection technology for apparent diseases in railway sound barriers can significantly improve the automation and intelligence level of disease detection.
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