Computer Monitoring System Based on 5G Internet of Things in Service Period of Tunnel Lining

Abstract

: The rapid development of information technology has accelerated the rise of the Internet of Things, and with the application and popularization of the Internet of Things, it has gradually achieved good development momentum in various fields. How to further exert the maximum value of the Internet of Things, and combine the data it monitors with the computer network to form a comprehensive control of the computer monitoring system has become an important issue to be solved in the current related fields. The rapid development of technology, the rise of 5G technology, the application of 5G technology to the Internet of Things technology, the computer monitoring system based on 5G Internet of Things technology is more intelligent in the actual operation. Tunnel lining is a permanent structure that supports and maintains the long-term stability and durability of the tunnel. Its role is to: support and maintain the stability of the tunnel; maintain the space required for the train to run; prevent the weathering of the surrounding rock; remove the impact of groundwater, etc., apply the 5G IOT computer monitoring system to the tunnel lining, which can be effectively used by the monitoring system. Observing the situation of the tunnel helps the relevant personnel to make predictions and maintenance. In this paper, the 5G IOT computer monitoring system is designed to monitor the tunnel lining, and the tunnel lining is analyzed by the data observed by the monitoring system to realize prediction and maintenance. Through system monitoring, we found that the computer monitoring system based on 5G Internet of Things is about 50% higher in data monitoring than the traditional monitoring system, the feedback speed is about 36% higher, and the protection monitoring capability is higher. It will be based on 5G Internet of Things. The monitoring system is applied in the tunnel lining, which helps to collect the actual situation of the tunnel lining faster and more convenient for prediction and maintenance.