earticle

영어

Approximately 40% of underground water and sewage pipes in Korea are more than 20 years old. Consequently, potential accidents related to water drainage systems are to be expected. In this study, using a special machine learning method that employs various available data, we developed a system that receives and analyzes data in smart pipes called the "digital twin-based smart pipe integrated management system" (DTMS-IM). This system presents an integrated approach for the efficient operation and monitoring of water pipes, allowing the innovative operation of groundwater pipes through smart decision-making. We trained the model using these data. This well-trained model has become able to predict the aging level of pipes. Similar artificial intelligence prediction models, widely used in various industrial applications, are also discussed.