Construction of energy load balance model for interchange tunnel structure based on semi supervised learning model

Abstract

BackgroundWith the current development of chemical energy and process engineering optimization, urbanization construction has been further promoted, and traffic tunnels have gradually increased, especially in the case of insufficient ground space, overpass tunnels have become an important traffic carrier. The structural energy load of interchange tunnel is an important factor. MethodBased on the semi supervised learning model, the energy load problem of interchange tunnel is modeled. Through the optimization of the structure and design requirements of the interchange tunnel, the energy problem in the structure was optimized. FindingsThrough the experiment of the monitoring effect, structure and data information under the semi supervised learning, it was found that the model based on the semi supervised learning model could well solve the settlement problem of the interchange tunnel. Compared with the actual measured values, it was found that the detection accuracy of the model reached 98.43%, and the data information processing efficiency index reached 0.832, It has high accuracy and processing efficiency. It can quickly adapt to the construction characteristics of the interchange tunnel, improve the test effect, and thus promote the smooth and effective development of the interchange tunnel construction project.