Abstract
Intelligent sports health management refers to the whole process of comprehensively monitoring, analyzing, evaluating, providing health consultation and guidance, and intervening in health risk factors for individuals or groups. The rise of Internet of Things technology has played an obvious role in the health management of intelligent sports and realized the integration and optimal allocation of intelligent sports resources. At the same time, in the field of information technology, the emergence of cloud computing as a new computing mode enables people to directly obtain software and computing power through network applications, so as to innovate the intelligent sports health management system and improve the intelligent sports health management system. Cloud computing mainly realizes the storage capacity of massive data and distributed computing capacity through processor computing, virtualization technology, distributed storage technology, broadband Internet technology, and automatic management technology. Based on Internet of Things and cloud computing technology, taking intelligent sports management as the research carrier, an intelligent sports health management system is designed, which provides a new attempt to use advanced information technology to assist intelligent sports health management system.
1. Introduction
Health is the most basic condition for human survival and development, and it is also a hot issue that human society will always pay attention to. If a country’s citizens are not healthy, there will be no sustainable development of the country’s society, let alone other problems. Therefore, health has always been a major concern of all countries’ societies and people. The research of national physique has always been concerned [1]. The purpose of intelligent sports health management is to combine the four diagnostic techniques of traditional Chinese medicine with modern information technology to measure the health status on the basis of summarizing and sorting out the experience of predecessors’ health management research. The intelligent sports health management system quantitatively measures, collects and stores various health information from multidimensional angles, and makes comprehensive dialectical analysis, so that people can fully understand their health status [2]. Due to the lack of intelligence in the existing teaching mode, the selection process of the whole intelligent sports health management system has to be completed by complicated manual operation, which results in heavy workload, low efficiency, easy mistakes, and duplication of work. Intelligent sports health management, as a comprehensive and systematic health management system, has attracted people’s attention and attention, and it has been paid more and more attention by people [3]. Intelligent sports health management refers to the whole process of comprehensive monitoring, analysis, evaluation, health consultation and guidance, and intervention in health risk factors. On the basis of health evaluation, through the establishment of health records, provide targeted health improvement plans, and encourage, urge and help people take initiatives to improve, and maintain health.
The Internet of Things is an important part of the new generation of information technology. It is called the third wave of the world information industry development after computers and the Internet through the integration of intelligent perception, identification technology, pervasive computing, and ubiquitous network [4]. Traditional intelligent sports health management systems are mostly constructed by static databases and static resources, but the intelligent sports health management system based on the Internet of Things directly faces the actual agent health management teaching and realizes the collection and storage of real-time health management data [5, 6]. It is a network concept, which connects anything with the Internet according to the agreed protocol through information sensing devices such as radio frequency identification (RFID), infrared sensor, global positioning system, and laser scanner, for information exchange and communication, so as to realize intelligent identification, positioning, tracking, monitoring, and management [7]. Cloud computing is an innovative business operation mode. As a service delivery and use mode, users can obtain its infrastructure, data, applications, and other services through the network in an on-demand and easy to expand way. It is the two major development trends of the Internet and injects power into the development of mobile Internet. Cloud computing mainly realizes the storage capacity of massive data and distributed computing capacity through processor computing, virtualization technology, distributed storage technology, broadband Internet technology, and automatic management technology [8–10].
The rise of Internet of Things technology plays a very obvious role in the health management of intelligent sports, realizing the resource integration and optimal allocation of intelligent sports [11]. At the same time, in the field of information technology, the emergence of cloud computing as a new computing mode enables people to obtain software and computing power directly through network applications, so as to innovate and improve the health management system of intelligent sports [12]. The features of cloud computing, such as super-scale, virtualization, multiuser, high reliability, and high scalability, are just the technologies needed for the large-scale and intelligent development of the Internet of Things, which are decisive and significant for promoting the Internet of Things and intelligent sports and building an intelligent health management system [13, 14]. Based on the Internet of Things and cloud computing technology, taking the intelligent management of intelligent sports as the research carrier, this paper designs an intelligent sports health management system based on the Internet of Things and cloud computing technology, which provides a new attempt to use advanced information means to assist the intelligent sports health management system [15].
2. Related Work
Literature [16] pointed out that the issue of intelligent sports health management has become a hot topic in recent years in many disciplines such as psychology, medicine, and sociology in China. Literature [17], through the big data analysis method, the average life expectancy of Chinese intellectuals with heavy responsibilities is only 58 years, which is about 10 years lower than the national average life expectancy. In 2008, the survey results of 4,755 civil servants’ body mass index and other risk factors of cardiovascular diseases in Wang Mei showed that the incidence of overweight among young, middle-aged, and elderly civil servants was 27.06%, 32.17%, and 42.12%. Hypertension in three age groups was 10.59%, 28.64%, and 42.02%, respectively. The incidence of impaired fasting blood glucose was 1.18%, 7.57%, and 11.09%. It shows that overweight and obesity are a major feature of the health status of civil servants, and the metabolic diseases and cardiovascular risk factors accompanying obesity and overweight of civil servants also increase. In literature [18], research shows that the most prominent problem is the high proportion of overweight, accounting for 40.4% of the total number, followed by fatty liver (24.3%) and hyperlipidemia (20.4%), among which the civil servants aged 40-50 years old have the largest proportion of onset age. The high incidence of gynecological diseases among women is cervicitis (23.0%), hyperplasia of mammary glands (20.6%), and the age is concentrated in 30~50 years old. When conducting psychological investigation, the order of the results were as follows: slight abnormality of interpersonal relationship (60.7%), anxiety (38.6%), depression (35.6), slight abnormality of somatization symptoms (33.2%), and obsessive-compulsive disorder (24.5), and the abnormal proportion of women was higher than that of men. In literature [19], through the method of big data analysis, the BMI assessment of civil servants in Zhejiang Province for men of all ages and women aged 50-54 years is in the overweight range. Literature [20] pointed out that intelligent sports health management was applied to the insurance industry, and they found that nearly all medical expenses were spent on treating preventable diseases, which means that even a small health improvement can save a lot of direct medical expenses. Literature [21] through the big data analysis method, intelligent sports health management has been paid more and more attention by scholars. At the same time, it can be seen from the above research that scholars’ research on health management has involved many aspects in recent years, including public health management and implementation, employee health management, community health management, and college student health management, and from this research trend, the scope and depth of research will continue to expand. The research of literature [22] shows that as a hot topic, the research momentum of intelligent sports health management has been heating up in recent years and will continue. The research gap has gradually expanded from the macro health management to the micro field. The focus of research also tends to move downward. There is a demand for health management, mode. The research on system has become and will continue to become the focus of academic research. Literature [23] points out that intelligent sports health management has such a secret for any enterprise and individual, that is, and specifically, after the individuals and enterprises passed the health management, the medical expenses decreased to the original level, the individuals and enterprises did not carry out health management, and the medical expenses increased by 90%. According to [24], the incidence rate of hyperglycemia in civil servants is 23.70%, and it has the characteristics of aging. Incidence rate incidence rate of hyperlipidemia in Xi’an civil servants was 41.32%, Xiao Ying, 2010, fatty liver incidence was 20.15%, and high uric acid incidence rate was 4.03%. Literature [25] research shows that the first four diseases with high prevalence among civil servants in Tianjin are fatty liver (17.86%), hypertension (14.64%), cervical and lumbar diseases (14.25%), and hyperlipidemia (13.11%).
Through the introduction of multimedia data in physical education and the use of College Students’ health and sports safety information mining platform for sports intervention, it makes up for the unreasonable factors in teaching objectives, teaching contents, teaching methods, and teaching evaluation in the traditional physical education teaching system. Through the above-related work, based on the establishment of intelligent sports health management system based on Internet of Things and cloud computing technology, this paper manages health through the network, fully collects and excavates the information of human functional state changes by using modern information technology, and carries out targeted preventive intervention on human health before the formation of disease, which can successfully block, delay, or even reverse the process of disease occurrence and development and achieve the purpose of maintaining health.
3. Overview and Algorithm of Cloud Computing and Internet of Things
3.1. Overview and Algorithm of Internet of Things
The Internet of Things is a kind of network that connects things. It is one of the most important technologies in the information age. The application of Internet of Things technology to smart grid mainly includes three main components, including application layer, network layer, and perception layer. The sensing layer is mainly for the effective identification of QR code labels and labels in readers, which is closely related to the sensor. The perceptual control layer is to connect the physical entity, application layer, and network layer and extend to the communication terminal and network. Perception layer: perception control layer connects the physical entity, application layer, and network layer and extends to communication terminals and networks. The perceptual control layer is to connect the physical entity, application layer, and network layer and extend to the communication terminal and network. Application layer: the main function of application layer is to design power grid solutions by combining Internet of Things technology and power grid functions. The main function of the application layer is to design power grid solutions combined with Internet of Things technology and power grid functions. The Internet of Things uses its own powerful identification and intelligent sensing technology to integrate in the network, not only connect things but also extend the application business of Internet clients. The information and data service platform of the Internet of Things needs to map the VM requests put forward by users to the PM in the data center, which can be summed up as a three-dimensional vector packing problem. In this paper, VM request is regarded as a three-dimensional resource request cube (CPU, Memory, and IO), and PM is regarded as a square container to hold these cubes. The task of VM mapping is to put a certain number of resource request cubes into square containers to minimize the number of containers used. Its mathematical model can be expressed as follows where PMX represents the -th PM, and represents the total amount of PM. , and meet where VMI represents the th VM on the PM, represents the number of VMS on the PM, and , , and represent the CPU, memory, and IO requested by the VM, respectively.
Because the applications running on VMs vary widely, the migration cost will vary. In order to quantify the migration cost, the migration cost is defined as follows
Assuming that there are PMS in the PM cluster of the data center, AI represents the CPU load of the ith PM, and the CPU load imbalance rcpu can be expressed as follows
In which Ecpu represents the average CPU load of PM, .
Assume that there are PM clusters in the data center. Ci represents the I/O load of the ith PM, then the I/O load imbalance rio can be expressed as follows
EIO represents the average I/O load of PM, .
The imbalance of resource load in one dimension is an important parameter to measure the stability and reliability of PM in data center, so we define the following target PM selection model. where is the number of PMS in the data center PM cluster, and is the number of VMS to be migrated, which is the final required VM migration solution.
To introduce brand-new monitoring objects into the system, it is necessary to set the number of sensor nodes so that the system scalability can meet the use requirements. In the process of power equipment management, Internet of Things technology has become the main means to realize equipment condition monitoring and life cycle management. Every IOT system has thousands or even more sensing devices, which continuously transmit the collected data to the data center. The data center not only needs to store the currently received collected data but also needs to save historical data to support the status tracking and data statistical analysis of objects.
Internet of Things technology has strong perception ability. It uses many sensors to obtain real-time data from different information sources. These data have different forms and contents and collect and update environmental information according to a certain periodic frequency. The sensor terminals of the Internet of Things system work without manual monitoring. Each sensor terminal may be attacked by natural or human factors at any time, including lightning damage and artificial malicious damage, resulting in incomplete data reception of the sensor terminal. The Internet of Things sensors collect information regularly and use the network protocol to transmit the real-time information of objects. Because of the large amount of data information, a large amount of data is formed. In order to ensure real-time information, it is necessary to adapt to protocols and networks with different structures during transmission. The Internet of Things combines sensors and intelligent processing and uses various intelligent technologies such as cloud computing and pattern recognition to expand its application fields. Analyze, process, and process meaningful data from the massive information obtained by sensors to meet the different needs of different users and find new application fields and application modes.
3.2. Intelligent Sports Health Management System Model Based on Internet of Things and Cloud Computing
The main features of cloud computing are the ability to deliver as a service, the ability to deliver services in a highly scalable and flexible way, the development and delivery of services by using Internet computing and methods, the virtualization of resources and the automatic management and configuration of resources, and the realization of distributed parallel processing of massive data, low cost, and transparency to users. As a new technology, the combination of cloud computing and the Internet of Things is the inevitable result of social development. The model of intelligent sports health management system based on Internet of Things and cloud computing is also the mining link in data processing of Internet of Things, as shown in Figure 1.
The model divides the health management system into three basic levels. The idea of hierarchical design makes the effectiveness of the whole Internet of Things management system higher, and the processing efficiency greatly improved. From bottom to top: cloud computing support platform layer, management system capability layer, and Internet of Things cloud service layer. The use of intelligent sports health management system can reasonably arrange the management system through students’ different sports and improve students’ health on the basis of meeting students’ personal interests and physical quality. The functional structure of intelligent sports and management system is shown in Figure 2.
Sports health management system is not a single management and managed simple system. It combines many factors related to college students’ health on the basis of summarizing and accumulating the existing system, including mental health research center, sports department, and school hospital. Under the unified leadership of the school, the student management office is responsible for the supervision of the sports health management system. Combined with relevant theoretical knowledge and practical experience, a comprehensive and systematic intelligent sports health management system is constructed in three aspects: hospital, student psychology research center, and sports intervention in physical education teaching. Its construction route is shown in Figure 3.
The working principle of cloud computing is that users access the network through terminals and put forward demands to the cloud. According to the requests, the cloud selects and organizes appropriate resources to provide corresponding services for network terminals. Applications run in distributed large-scale server clusters, and the data that users need to process is also stored in the data center of the Internet. Providing file or data storage space and data computing power is the cornerstone of health management system. In this platform, the health management system model is integrated, and the business operation can be based on the cloud computing platform independently developed by the enterprise or the cloud computing platform provided by a third party, which is also the convenience of the Internet of Things. These servers are managed and operated by cloud service providers, which can ensure to provide users with strong data processing capacity and sufficient storage space. Users can access and use cloud services at any place and at any time through the Internet.
4. Construction of Intelligent Sports Health Management System Based on Internet of Things and Cloud Computing Technology
4.1. Construction of Intelligent Sports Health Management System
Intelligent sports health management is the whole process of comprehensively monitoring, analyzing, evaluating the health of individuals or groups, providing intelligent sports health consultation and guidance, and intervening in health risk factors. Its purpose is to mobilize the enthusiasm of individuals, groups, and the whole society and make effective use of limited resources to achieve the maximum health effect. Its specific approach is to provide targeted intelligent sports health information for individuals and groups, including the government, and create conditions to take action to improve intelligent sports health. Intelligent sports health management and physical education teaching aim at promoting people’s health. There is no doubt that physical exercise plays a positive role in enhancing college students’ physical health. Researchers at the University of Toronto in Canada have shown that exercising three or four times a week is the healthiest way to exercise. Through the investigation of the exercise frequency of college students in a certain university, the abscissa represents the exercise frequency, which is a frequency data obtained through the number of exercises. The ordinate represents the percentage of data, a percentage obtained by studying the data. Only 13% of the students reached the ideal exercise frequency, and even 30% of the students said that they basically did not take part in exercise, as shown in Figure 4.
As a means of implementing health management, the main purpose of Internet of Things and cloud computing technology is to enhance physique, improve health, comprehensively improve college students’ physical fitness and adaptability to the environment, enable students to master the basic theoretical knowledge and skills of sports, establish correct concepts of sports and health, master the basic skills of scientific physical exercise, and cultivate the awareness of physical exercise. Therefore, with the help of Internet of things and cloud computing technology, it can serve the sports health management system, so as to reflect the status and role of intelligent sports teaching in the health management system.
The intelligent sports health management system in Internet of Things and cloud computing technology is based on the following reasons. (1)The foundation of health management in colleges and universities is good(2)As a platform of health knowledge, colleges and universities are highly accepted by college students(3)Colleges and universities can effectively integrate health resources, learn from each other’s strengths, and make rational use of them(4)Health management system can enrich physical education and cultivate real healthy talents
College students are required to participate in the health management team when freshmen enter school. Through physical examination and the use of health management files, they can learn about each student’s health information and form health files. Through the analysis and evaluation by health management experts and physical education teachers, they can get personalized intervention and guidance, which can be fed back to students in the implementation of intelligent physical education. Because health management itself is a process of intervention and feedback, Internet of Things and cloud computing technologies verify that all dimensions meet the normal distribution, and data analysis is checked by paired design. The abscissa represents the health index, a data index obtained through health research. The ordinate represents the dimension index, a piece of data obtained by indexing the dimension. The results are shown in Figure 5.
The experimental results show that the difference before and after health management is statistically significant. By comparing the mean before and after management, we also found that the score after management was significantly higher than that before management. Tested by the Internet of Things and cloud computing technology, all dimensions meet the normal distribution. The paired design test is used to analyze the data. The results are shown in Figure 6.
The experimental results show that the differences of all dimensions of the questionnaire before and after health management are statistically significant. Through the comparison before and after the management, we also found that among the different dimensions, the score after the health management was significantly lower than that before the management. Through the test of Internet of Things and cloud computing technology, the intervention group, the control group, and the experimental group all meet the normal distribution in all dimensions, so the three-sample test of completely random design is used for analysis, and the results are shown in Figures 7–10.
The experimental results show that the difference between Qianyu group, control group, and experimental group is statistically significant. Through the mean values of intervention group, control group, and experimental group, we also found that the scores of intervention group after intervention were significantly higher than those of control group and experimental group without intervention.
The experimental results show that except for the differences in somatization among the intervention group, the control group, and the experimental group, and the differences in other dimensions are statistically significant. Through the average values of intervention group, control group, and experimental group, we also found that the score of intervention group after intervention was significantly lower than that of nonintervention control group. Compared with the experimental results, the characteristics of device abstraction in Internet of Things and cloud computing technologies are high real-time, dynamic loading and unloading of drivers, support for plug and play, device status monitoring, and link status management.
4.2. Experimental Results and Analysis
The cognition of school students, parents, teachers, and health workers on physical health management is mainly reflected in the knowledge of the respondents on physical health management, as shown in Table 1.
From the survey data in Table 1, it can be seen that the respondents’ knowledge of intelligent sports health management is not very high, especially the students and parents’ knowledge of intelligent sports health management is not high. Among them, 53.3% students do not know about intelligent sports health management, 30.5% students say it does not matter, and some parents do not know about intelligent sports health management. The degree of demand of respondents for physical health management is shown in Table 2.
The understanding of the respondents’ needs for physical health management determines the significance and necessity of physical health management. The survey shows that 64% of students, 53.2% of parents, and 74.1% of teachers and health personnel believe that it is very necessary to carry out physical health management for teenagers and middle school students. The hope of the surveyed students to provide service items for physical health management is shown in Table 3.
From the survey data, it is found that 87.6% of students want to measure and evaluate physical and intelligent physical health; 78.6% of students want to carry out mental health education; 57.1%, 65.2%, and 42.5% of students want to provide intelligent physical health education, psychological counseling services, and lifestyle education, respectively; and 67.4% and 25.3% of students want to provide health services and nutrition services, respectively. The effective ways that the students of the surveyed schools think of the dissemination of intelligent sports health knowledge are shown in Table 4.
The survey shows that students think that the effective way to spread the knowledge of intelligent sports health is the course of healthy intelligent sports health. That is, schools offer health courses, physical education teachers' teaching guidance, lectures, and conference mobilization, which are almost the same as those of radio, television, multimedia, wall newspaper, blackboard newspaper, thematic discussion, and other ways. The biggest problems in the process of intelligent sports health management are shown in Table 5.
According to the survey in Tables 5 and 6, 30% of the students think that the biggest problem in the process of physical health management is the imperfect equipment and facilities, and 25.7% of the students think that the learning pressure is high and the time is short, followed by the low professional quality of teachers, the lack of attention from school leaders, the lack of legal measures, and the lack of attention from school leaders. Parents, teachers, and school leaders think that the biggest problem in implementing physical health management is the lack of capital investment, accounting for 16.1%, followed by the lack of attention from leaders, ineffective cooperation from various departments, and imperfect equipment and facilities, accounting for 14.8%. Among them, 12.2%, 12.4%, and 7.2% of them are inadequate publicity, low professional quality of teachers, low attention of students, and imperfect evaluation system. Adolescent physical health management is mainly accomplished by parents, doctors, teachers, and students. Middle schools have physical education teachers, mental health consultants, health care workers, and rich physical health network resources. Middle school students have strong self-learning ability, and parents provide the material basis for health management. With the close cooperation of the above four, the physical health management of middle school students can be successfully completed. The coordination of the subjects of adolescent physical health management is the key to the implementation of physical health management.
5. Conclusions
The health management system introduced into intelligent physical education is based on summarizing and accumulating the existing system. It is an all-round and systematic comprehensive health management system combined with many factors related to college students’ health, such as health education, sports activities, family, and society. This paper designs an intelligent sports health management system based on Internet of Things and cloud computing technology and constructs a healthy management system of intelligent sports. At the application end, the intelligent sports health management system realizes teachers’ course scheduling and students’ course selection and communication between teachers and students through modules such as teachers’ course scheduling, students’ course selection, and interactive communication, so as to realize the healthy management of intelligent sports. The intelligent sports health management system realizes the management and information maintenance of sports health through the management function and maintenance function in the functional structure and can accurately analyze sports health and arrange the intelligent sports management system reasonably according to sports health. College students are required to join the team of health management when freshmen enter school and to carry out continuous health management for them, that is, to give them constant feedback, intervention, and feedback. College students’ health management regards passive management as active management, which increases students’ enthusiasm for participation, improves the work efficiency of relevant departments, and realizes the interactive exchange of health information.
Data Availability
The data used to support the findings of this study are included within the article.
Conflicts of Interest
The authors declare that they have no competing interest.
Acknowledgments
This paper is supported by the Measurement and evaluation of youth sports literacy. Social Science Foundation of Jiangxi Province, China (grant number 20TY19) and Research on Jiangxi sportsman Yu Yongzuo’s sports thought during the period of the Republic of China. Humanities and Social Sciences Research Project of Jiangxi Province, China (no: TY19219).