Abstract

Deformation monitoring of high-rise buildings is necessary. Among them, foundation settlement is one of the most important factors of building deformation. This paper designs the layout of the high-rise building foundation settlement monitoring points and the monitoring method of the foundation settlement, designs and implements the above-mentioned remote wireless sensor network-based high-rise building foundation settlement dynamic early warning system of the lower computer hardware and software and the upper computer system. Analyzed the requirements of the system and designed the overall structure of the system. The functional analysis of remote wireless sensor network equipment, serial communication tools, and host computer system is done, and the whole working process of the dynamic monitoring system for the settlement of the foundation of high-rise buildings is introduced in detail. The system adopts the modular design idea, and the neural network SPKF method is proposed for the first time, and it is applied to the modeling and prediction of the nonlinear system of high-rise building deformation monitoring. This method solves the shortcomings of long training time of BP neural network, large dependence on initial value, and easy to fall into local extreme value. It also realizes the advantages of neural network with the ability to approximate arbitrary continuous functions and nonlinear mapping through SPKF. The results of calculation examples prove the feasibility and effectiveness of this idea and method.

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