Design of Monitoring System for Nuclear Magnetic Resonance Room
Based on the Internet of Things and Artificial Intelligence
TANG Funan, XU Xiang, ZHANG Ke, WANG Ying
Department of Clinical Medical Engineering, Jiangsu Province Hospital, The First Affiliated Hospital with Nanjing Medical University,
Nanjing Jiangsu 210029, China
Abstract：Objective In order to realize the remote real-time monitoring of the liquid helium state of magnetic resonance equipment,
the monitoring system of magnetic resonance room was built by using artificial intelligence and Internet of Things cloud platform
technology. Methods The raspberry pie was used as the main controller to control the camera to take real-time pictures of the magnet
monitor panel. Then, the image was preprocessed by Python software running on raspberry pie and recognized by artificial intelligence
algorithm. Finally, the obtained parameters such as liquid helium volume and liquid helium pressure were uploaded to OneNet cloud
platform for display and recording. Results The Monitoring system realized real-time monitoring of liquid helium state of magnetic
resonance equipment, and had the functions such as remote inspection, trend analysis, and alarm notification. Conclusion The monitoring
system facilitate routine inspection and provide reference information for equipment fault diagnosis and maintenance.
汤福南，许翔，张可，汪缨. 基于物联网和人工智能的核磁共振机房监测系统设计[J]. 中国医疗设备, 2019, 34(11): 101-104.
TANG Funan, XU Xiang, ZHANG Ke, WANG Ying. Design of Monitoring System for Nuclear Magnetic Resonance Room
Based on the Internet of Things and Artificial Intelligence. China Medical Devices, 2019, 34(11): 101-104.
