Anti-fouling Evaluation System Using Reflected Light

• Published in: Journal of Photopolymer Science and Technology Vol. 33; no. 6; pp. 599 - 602
• Main Authors: Mamiya, Tomohiro, Nishioka, Sotaro, Nobuhara, Ryota, Ishibashi, Ko, Yagi, Tsuyoshi, Matsumoto, Risa, Kuribayashi, Kenichi, Okamoto, Mizuho, Tanida, Akira, Tsujiie, Hiroyoshi, Mayama, Hiroyuki, Ueda, Takayoshi, Tanigawa, Hiroshi, Nishino, Tomoki
• Format: Journal Article
• Language: English
• Published: Hiratsuka The Society of Photopolymer Science and Technology(SPST) 15.12.2020; Japan Science and Technology Agency
• Subjects: Antifouling; Antifouling technology; Center of gravity; Contamination; Digital cameras; Dirt; Evaluation; Image measurement; Infrastructure technology; Measurement methods; Optical measurement; Orbital distortion; Position measurement; Target recognition; Technology assessment; Trajectory measurement
• ISSN: 0914-9244; 1349-6336
• DOI: 10.2494/photopolymer.33.599

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.