스마트 철도역사의 인공지능기반 실내공기질 관리기술

초록

Recent development on computational capacity and performance enabled artificial intelligence, deep learning and big data mining to be applied numerous area of industry. In smart train (high-speed or subway) stations, corresponding to the increasing demands for comfort and clean indoor environment, the advanced method such as artificial neural network (ANN) needs to be applied for satisfying passengers. In this study, we developed the indoor air quality (IAQ) management system including the prediction of particulate matter (PM10) in platform 1-hr later based on ANN method using simply obtained data. The system is consists of big data with analyzer, prediction algorithm, HVAC control unit. It is expected that our IAQ management system can provide the comfort and clean environment to passengers and provide efficient managing tool to operators at the same time.