Abstract
The reasonable selection and optimized design of the deep foundation pit support scheme is directly related to the safety, construction period, and cost of the entire project. Here, based on a large number of theoretical results in many related fields, relevant influencing factors are systematically analyzed, and advanced mathematical algorithms such as neural networks are introduced according to the relevant characteristics of building deep foundation pit support construction. First of all, this paper designs and implements deep foundation pit construction safety risk technology based on wireless communication and BIM technology and analyzes and describes the framework and function of the foundation pit construction safety risk identification system. Secondly, we use neural network algorithms to study the deformation prediction of the foundation pit supporting structure, which can describe the expression method of the above safety knowledge. Finally, the differences and benefits of this method and traditional methods are compared through experiments, which show that this technology can pave the way for the construction of deep foundation pit construction safety risk knowledge.
Highlights
With the rapid development of economic construction, the process of urbanization continues to accelerate, and the space for urban construction is becoming increasingly tight
Whether it is the construction of deep foundations of high-rise buildings or the construction of underground spaces, large-scale underground excavation is inevitable, which is accompanied by a large number of deep foundation pit engineering problems [3]
It is worth noting that the compact construction site and complex surrounding environment of deep foundation pit projects have led to frequent construction safety accidents, causing huge economic losses to the country and society and even casualties, resulting in very bad society influences [4]
Summary
With the rapid development of economic construction, the process of urbanization continues to accelerate, and the space for urban construction is becoming increasingly tight. E excavation and utilization of underground space have been continuously developed in the city, and the scale and depth have been increasing Whether it is the construction of deep foundations of high-rise buildings or the construction of underground spaces, large-scale underground excavation is inevitable, which is accompanied by a large number of deep foundation pit engineering problems [3]. Is article is dedicated to integrating advanced security and network communication technology in the construction of high-rise building foundation pits. Based on a large number of theoretical results in related fields at home and abroad, this paper systematically analyzes related influencing factors and introduces advanced mathematical algorithms such as neural networks into related research from the relevant characteristics of building deep foundation pit support construction. We introduced the article summary and future prospects in the fifth part
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