Research And Data Analysis Of Physical Measurement System For College Students

Having good physical quality is one of the prerequisites for college students to be competent for future work.In this thesis,data acquisition and big data analysis of physical health testing were studied to serve the project of physical health monitoring and intervention management for students in Yunnan University.Compared with the manual measurement,physical test data of automatic data collection and transmission has higher accuracy and can save manpower and measuring time.Firstly,the front end of the physique test data acquisition and transmission was constructed.The students'physique test system based on wireless sensor network was built using the star topology structure.Each function module of physical fitness testing system was designed to aim at the National Student Physical Health Standard(revised in 2014).To verify the feasibility of wireless sensor network technology,the data acquisition and data transmission for both vital capacity and body weight were realized,using CC2530 and STM32 chips,ZigBee wireless transmission module,2.4g wireless transmission module and corresponding sensors.It shows the stable wireless transmission and easy-to-use college students'physique test system was built.Secondly,a data analysis environment based on Spark was built to analyze and dig more than 70.000 pieces of data accumulated in the physical fitness test in our university from 2014 to 2017.According to the characteristics of physical health test data,outlier detection algorithm based on relative density was adopted to screen the outliers of college students'physical health test data and verify the screening results,so as to achieve the purpose of cleaning the data.As an example,taking the physical fitness test data of students in the class of 2014,the change trend of students'performance was analyzed for four years,longitudinally and horizontally.PFP-growth algorithm was used as the association rule data mining method for physical fitness test data.Finally,using the Pearson correlation coefficient method,the correlations among the subjects were determined.This work implemented students'overall result change trend and auxiliary student physique health interventions target of data analysisThis thesis provides a basis for improving physical education quality and improving students'physical health,and provides a reference for improving the overall physical ability to students.