Train operation safety is the lifeline of railway transportation. However, in aspects such as train quality inspection, daily warehouse inspection and border security inspection, the traditional manual drilling of trenches and flashlight irradiation inspection modes have been difficult to adapt to the efficient and accurate safety management needs of modern railways:

It takes a very long time to inspect a formed train and requires multiple quality inspectors to work at the same time. Due to the limitations of light and angle, visual fatigue is easy to occur, resulting in missed inspection. The structure of the train chassis is complex, and key components such as hydraulic valves, loose bolts, cracks in axles, and missing skirts are difficult to accurately identify with the naked eye, which can easily lead to fatal accidents. There is a lack of digital image archives and it is impossible to trace the time and link when the failure occurred. Various departments (Quality Inspection Department, Information Department, Vehicle Depot) have serious information silos, making it difficult to form closed-loop management that is coordinated and managed. "One missed inspection may be a major accident." Today, with railway speed and capacity expansion and increasingly stringent safety standards, it is imperative to build a "full coverage, high-precision, and intelligent" train multi-surface scanning and inspection system.

Nanjing Soan Electronics Co., Ltd. has been deeply involved in the field of rail transit safety testing for more than ten years and owns a number of core invention patents and software copyrights. Underbody scanning (core): A high-intensity compression-resistant camera (bearing weight ≥55 tons) is installed between rails, and the chassis height is adaptive to 0-3500 mm. The high-definition scanning camera clearly displays key components such as bogie, braking devices, axles, and couplers with an ultra-high resolution of 0.5mm/pixel. Side scanning: Rail-side columns are equipped with automatic lifting/sliding scanning boxes to cover skirts, doors, connecting devices and running parts, automatically matching the train height to prevent wind and snow. Roof scanning (optional): For EMU and high-rise trains, deploy a roof scanning device to inspect pantographs, air conditioning units and roof foreign bodies. Vehicle number/container number recognition: Automatically identify the carriage number and container number to achieve accurate binding between the image and the vehicle identity. Intelligent picture determination: Select a deep learning algorithm to automatically mark abnormalities such as bolt loss, component deformation, hanging foreign matter, and liquid leakage. Dedicated records are generated for each train, and images are uploaded to the cloud in real time, supporting retrieval by train number, time, and fault type. Data is shared among multiple departments, and historical images can be accessed at any time for quality inspection, operation and maintenance, and security to compare and analyze fault evolution trends.