This paper presents the design and implementation of a web-based system for real-time monitoring of underground pipeline conditions. The system utilizes sensor data from smart pipes, which are embedded with optical, potential, and ultrasonic sensors to detect anomalies in the pipeline infrastructure. By integrating sensor data with geographical mapping, the system provides comprehensive insights into the condition of underground pipelines, enabling effective maintenance and preventive actions. Key features include data visualization in the form of charts and a map-based interface that highlights the location of sensor-equipped pipelines.
목차
Abstract I. INTRODUCTION II. SYSTEM DESIGN A. Overview B. Data Collection C. Data Processing D. User Interface III. FEATURES A. Map-Based Visualization B. Sensor Data Visualization C. Alerts and Notifications ACKNOWLEDGMENT REFERENCES
저자
Yudoo Kim [ Dongyang Mirae University Dept. of AI Software ]
Corresponding Author
Heejin Lee [ Dongyang Mirae University Dept. of Computer Software ]
Hwansoo Kang [ Dongyang Mirae University Dept. of AI Software ]