Intelligent and Real-Time Data Acquisition for Medical Monitoring in Smart Campus

With the continuous development of information technology, people are gradually moving from the digital age to the intelligent era. As one of the most representative emerging technologies in this era, the artificial intelligence is quietly changing our lives at an unprecedented rate. At present, the...

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Bibliographic Details
Published in:IEEE access 2018, Vol.6, p.74836-74846
Main Authors: Liang, Yi, Chen, Zixi
Format: Article
Language:English
Subjects:
AMQP protocol
Artificial intelligence
Biomedical monitoring
Data transmission
Date collection
Environmental monitoring
Information technology
Internet of Things
Medical diagnostic imaging
medical monitoring
Medical services
Monitoring
Monitoring systems
New technology
RabbitMQ frame
Real time
Real-time systems
Servers
smart campus
Temperature sensors
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Summary:With the continuous development of information technology, people are gradually moving from the digital age to the intelligent era. As one of the most representative emerging technologies in this era, the artificial intelligence is quietly changing our lives at an unprecedented rate. At present, the Internet of Things has been formally included the five emerging strategic industries in the country. Its development route is from safe city, digital city, to the perception of China. As an important part of a safe city, the medical and health field is also moving toward to the intelligent era. Therefore, it is imperative to construct a smart campus hospital environment monitoring system based on Internet of Things technology. The most core part of home environment intelligent monitoring system is the design of data acquisition and display methods. This paper mainly designs and implements the system client, system data format conversion, and system data transmission. The main technical points involved are HL7 protocol, AMQP protocol, and RabbitMQ framework, besides, and the cache technology is applied to the server. Information is cached to provide data assembly for different clients. Finally, real-time monitoring and alarming of the environment are implemented in the PC client and the Android client. The paper monitors the smart campus hospital environment, then carries out real-time transmission, storage, display, and finally analyzes the data to intelligently identify the smart campus hospital environment.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2018.2883106