In recent years, methods for evaluating various dirt such as air and water have been developed. Techniques have been developed for measuring orbital deviation by image measurement. In this method, the trajectory distortion is measured by measuring the coordinates of the center of gravity of the circle with a digital camera. However, due to repeated train running, the surface of the recursive target for measurement becomes black due to dirt, and the position of the center of gravity of the circle cannot be accurately measured on the image. When the target becomes black, the position of the center of gravity of the circle cannot be accurately measured on the image, so cleaning is required about twice a month. Dirt due to the deposits is an important issue, and a technique for protecting the surface of the target from dirt is desired. By evaluating the contamination of the target numerically, it is possible to more efficiently develop a better arrangement position and an antifouling technology. The developed dirt evaluation device digitizes the degree of dirt using a photo sensor and numerically evaluates the degree of dirt. This paper describes the principle, measurement method, and actual evaluation results of the developed contamination evaluation device.

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The rail track is one of the most important structures for maintenance among railway structures. The rail track is subjected to repeated loads by the wheels directly, causing track deviation. Track irregularity causes unsafety and uncomfortable running of train. There is a method of measuring orbital deviation. By installing a recursive target for image measurement on the rail of the train, the coordinates of the center of gravity are measured with a digital camera. Track distortion caused by repeated train running is measured. However, since the train repeatedly travels, deposits are attached due to external environmental factors, and the target becomes black. In this study, the attached matter was analyzed and the kind of attached matter was confirmed. By analyzing the attached matter, various materials are found, and it is possible to infer a blackened state. Knowing the actual condition of the adhering matter enables countermeasures and prevention, leading to a reduction in maintenance work.

Techniques have been developed for measuring orbital deviation by image measurement. In this method, the trajectory distortion is measured by measuring the coordinates of the center of gravity of the circle with a digital camera. However, due to the repeated train running, the surface of the recursive target for measurement becomes black due to dirt, and the position of the center of gravity of the circle cannot be accurately measured on the image. Dirt due to the deposits is an important issue, and a technique for protecting the surface of the target from dirt is desired. In this study, we develop a target antifouling sheet using a metamaterial technology that imitates a snail shell and has an oil-repellent effect and verifies the effect.