Data Monitoring in Student Psychological Automatic Evaluation System by using Dynamic Acquisition Algorithm

Abstract

Abstract The purpose of Designing Embedded Internet of things and studying the ad hoc technology of gateway is to meet the monitoring requirements brought by the continuous expansion of data center. Among them, in the aspect of dynamic data monitoring, this paper designs a dynamic acquisition algorithm, that is, by analyzing the characteristics of data center resources and the number of information acquisition methods, so as to adjust the data acquisition cycle, so as to reduce the monitoring workload and improve the monitoring flexibility. At the same time, this paper also studies the automatic psychological evaluation system of students. It is found that with the intensification and efficient operation of social competition, some special groups of college students are facing increasing pressure, and events caused by psychological problems emerge one after another. Even though there are many psychological evaluation systems on the network. However, a large number of psychological knowledge and mental health management on the Internet can not effectively manage and improve the psychological status of college students. Therefore, the university needs to build a psychological evaluation system for college students in time, and combine the automatic psychological evaluation system for college students with embedded Internet of Things and cloud service technology to improve the accuracy of psychological evaluation. The application of the system, college students can independently evaluate their own mental state, if there are psychological problems can be timely counseling, not only can improve the level of mental health education in colleges and universities, but also can promote the development of physical and mental health.