원문정보
초록
영어
This study designed and implemented a real-time monitoring system combining IoT sensors and edge computing technology to ensure safety and efficient management at hydrogen pipeline construction sites. The system consists of environmental sensors for temperature, humidity, fire, and dust, as well as on-site sensors for vibration and noise detection. The Edge RTU(Remote Terminal Unit) collects and analyzes data in real time to determine any abnormalities. These results are transmitted to a remote control center via an IoT interface, and the control center monitors the status of the hydrogen pipeline network in real time using a user interface (UI). Communication performance tests conducted at a distance of 50 meters demonstrated a 100% success rate for Wi-Fi-based communication, compared to 97% for LoRa-based communication. Furthermore, by applying an edge-based anomaly detection algorithm, data transmission volume was reduced by approximately 63% while maintaining an anomaly detection accuracy of greater than 95%. Based on the experimental results and analysis, the proposed system is expected to serve as a low-latency, highly reliable real-time monitoring platform, contributing to improved safety management and the advancement of validation technologies for hydrogen urban pipeline infrastructure.
목차
1. INTRODUCTION
2. SYSTEM STRUCTURE
2.1 Platform Layer
2.2 Edge Computing Layer
2.3 Field Layer
2.4 Data Flow Summary
3. SYSTEM IMPLEMENTATION
4. IMPLEMENTATION RESULT AND ANALYSIS
5. Conclusion
ACKNOWLEDGEMENT
REFERENCES
