Research on the Application of Artificial Intelligence Devices in Railway Inspection
Chuncha Wang · Frontiers in artificial intelligence and applications · 2025
In this research work, this article introduces the working principle, architecture, functions, AI algorithms, and innovation of the developed artificial intelligence detection device. The overall architecture consists of an image acquisition module, a data acquisition storage and control module, and a data analysis module. Taking the Fuzhou Metro track line as an experiment, artificial intelligence detection equipment automatically identifies rail defects such as abnormal fasteners, scratches on the surface of track rails, and attached foreign objects, accurately detecting track diseases, and meeting the needs of railway departments for intelligent analysis and discrimination of track damage. According to calculations, intelligent inspection hours account for approximately 56% of manual inspections. It fully proves that the use of artificial intelligence detection equipment by maintenance personnel to inspect railways greatly improves the quality of railway maintenance and greatly reduces the workload of railway inspections.