Visual design and implementation of campus epidemic monitoring system based on Internet of Things

Wen Liu; Yichun Yang; Renhui Qi

doi:10.1117/12.2652509

20 October 2022 Visual design and implementation of campus epidemic monitoring system based on Internet of Things

Wen Liu, Yichun Yang, Renhui Qi

Proceedings Volume 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022); 123501H (2022) https://doi.org/10.1117/12.2652509
Event: 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 2022, Qingdao, China

Abstract

In order to reduce the aggregation of personnel and realize the intelligent prevention and control of campus epidemics, a campus epidemic monitoring system based on the Internet of Things has been designed and implemented, including a population flow data acquisition module, a network epidemic data acquisition module, and a campus Internet of Things and data visualization module, which can quickly establish the Internet of Things platform and realize the synchronous monitoring of local and cloud data. The system uses the STM32F429 as the main control chip, with the HC-SR501 human infrared sensing module and the LoRa node module. The bidirectional detection algorithm is used to collect real-time human flow data throughout the campus, and the Python network crawler is used to obtain real-time network epidemic data. The campus Internet of Things, based on LoRa wireless communication technology, is built to achieve data transmission with network servers. For the data obtained through the software driver cleaning and stored in the database for human-computer interaction interface calls. After testing the system function, the results show that the data collected by the front end can be displayed on the LCD terminal and the cloud HTML terminal. The collected data can be intuitively displayed on the terminal interface through the Internet of Things transmission, which provides effective human flow data and epidemic data for campus teachers and students.

Citation Download Citation

Wen Liu, Yichun Yang, and Renhui Qi "Visual design and implementation of campus epidemic monitoring system based on Internet of Things", Proc. SPIE 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 123501H (20 October 2022); https://doi.org/10.1117/12.2652509

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
10 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Internet

Data acquisition

Human-machine interfaces

Data storage

Visualization

Data visualization

Data communications

Show All Keywords

Keywords/Phrases

Search In:

Publication Years