Analysis of college emergency management events based on intelligent industrial Internet of Things (IIoT)

The level of higher quality education in China is increasing, the number of colleges and universities and the number of students are also rising, followed by the increasing number of buildings and industrial processes of the internal circulation system in colleges and universities. If they can not be controlled, emergency treatment will be required in the long-term teaching process in the future. There are more and more industrial products in colleges and universities. In order to ensure the safety of teachers and students, it is necessary to study how to ensure that no accidents occur when these industrial facilities are used, maintained and standby. The proposal of Industrial Internet (IIOT) has solved the problem of how to connect industrial design in these colleges and universities. This article will introduce the rise of the industrial Internet and how the industrial Internet has become a complete intelligent system, and introduce the in-depth learning of the intelligent Internet of Things and the development process of the Internet of Things. Then, according to the decision-making support system of the Internet of Things, it will explore the application comparison of different intelligent Internet in college emergency management events, According to the comparison results, explore how the AI enabled intelligent industrial Internet of Things system is used in college emergency event management, add remote sensing and intelligent monitoring system to the industrial Internet of Things, analyze its possible application scenarios or similar in-depth learning processes that can be cross studied, and finally predict the ability of the selected AI industrial Internet of Things in the actual college emergency event management. The results show that the only system of intelligent industrial Internet of Things mainly comes from the adaptive learning function of artificial empowerment and industrial Internet of Things. The AI enabled industrial Internet of Things can give early warning before the occurrence of major hazardous events, provide the probability of possible emergency events, and provide a good means to avoid hazards, The prediction results of industrial IoT in practical application show that it can significantly reduce the probability of college emergency events, and can also use different industrial equipment to jointly play a role in the event, and then complete emergency response. The rise of the industrial Internet of Things did not start recently, but it did not take a long time to introduce it into the joint use of industrial equipment in colleges and universities. Therefore, all colleges and universities can do something on this track. In order to ensure the absolute safety of higher education places, we must closely follow the new technology of the times to improve the university management system.