Design and Optimization of University Management Information System Based on Internet of Things and Intelligent Computing Model

Abstract

After the preliminary design of university management information system is completed, the related systems are optimized through IOT and intelligent computing. The data of the system is monitored and trained through IOT. Through the training data, it can be seen that the maximum difference between the actual output and the predicted output data of the Internet of Things is about 4. By calculating the error percentage of the predicted and actual output values, it is found that the maximum error percentage is about 0.0632, and less than 0.1 is a normal error. The IIA model is compared with MQT model, HAMT model, and SAR model in four different function states. Through the analysis of iteration times, it is found that the best value of IIA model is 12 and the average value is 14. Compared with the other three models, the convergence degree is higher, the calculation time is shorter, and the calculation results are more accurate. In order to explore whether the IIA optimization model proposed in this paper can run normally, the performance of the optimization system is tested by dividing the number of users into three groups: 100, 400, and 1000, and testing and analyzing the average response time, peak traffic response time, and test conclusion. According to the data, the average response time of IIA optimization model system is 2.031, 3.211, and 4.421. The average response time of related systems in traditional universities is 3.075, 4.563, and 5.097, respectively, and the test conclusions are all passed. According to the data analysis, it is known that the average response time of IIA optimization system is greatly reduced compared with the traditional system, which shows that this model has a good optimization effect for management information system. Finally, the success rate of IIA optimization model and traditional system is analyzed, which shows that performance is greatly improved after IIA optimization model is optimized. At present, the management information system is of great help to the entry of college students' information. The management information system is used to enter, classify, and manage student information. The design and optimization of the system through IOT technology and intelligent computing-related models are helpful in improving the average response time of the system and improving the data processing capability of the system, which is convenient for register student information.