School of Intelligent Technology, Tianfu College of Swufe, Chengdu, 61000, Sichuan, China
Nowadays, teenagers' physical quality is getting worse and worse. Therefore, the Party Central Committee has established the educational policy of "health first" as the guiding ideology. In order to fully implement the party's education policy, a wave of sports towards stadiums or playgrounds has swept across the country. However, schools lack effective management means and methods for large-scale sunshine sports. Therefore, many colleges and universities have put forward tough measures for students' middle and long-distance running in sunshine sports, requiring each student to complete a certain number of kilometers of long-distance running distance every semester, record students' long-distance running with manual recording method, and finally count it into students' total score as a course. This scheme provides a good entry point for the development of sunshine sports, but the disadvantages of manual recording method also appear: a large number of students, a large number of long-distance runs, a large amount of data, inconvenient statistics, and recording with notes, low efficiency, heavy workload of statisticians, and error prone. Therefore, this paper puts forward the design of College intelligent physical testing system based on IOT technology, and develops the college intelligent physical testing system. This paper discusses the design objectives and principles of the ibms and the overall design idea of the system software, and takes a university as an example to test the packet loss rate of the intelligent test system under the IOT technology and the body temperature index under different distances. The experimental results show that the packet loss rate is very low and almost negligible, and in terms of communication distance, there is no packet loss within 500m; The website is stable, the information is uploaded in time, the calculation accuracy is high, and the students' feedback is good; When the distance is 1m, the body temperature is 36.6℃, when the distance is 12M, the body temperature is 36.5℃, and the error is small. The system has good flexibility. The hardware test shows that the hardware equipment selection of this system is perfect, the function is perfect, and the stability and flexibility are very high.
Internet of Things Technology, Universities, Intelligent Body Measurement System, Body Measurement System Design
Jinling Ma. Intelligent Body Measurement System (IBMS) in Colleges and Universities Based on Internet of Things(IOT) Technology. International Journal of Frontiers in Engineering Technology (2022), Vol. 4, Issue 6: 9-14. https://doi.org/10.25236/IJFET.2022.040602.
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