Self-adaptive adjusting method and system for pile splicing auxiliary platform based on artificial intelligence

Abstract

The invention relates to the technical field of self-adaptive adjustment, in particular to a pile splicing auxiliary platform self-adaptive adjustment method and system based on artificial intelligence, and the method comprises the steps: carrying out the geological exploration of a construction area, and collecting the geological exploration data; piling construction parameters of the pile splicing auxiliary platform are preset; piling construction state parameters and environmental conditions are collected; a self-adaptive adjustment model of the pile splicing auxiliary platform is constructed, and the geological exploration data, the piling construction state parameters and the environmental conditions serve as input to obtain piling adjustment parameters; based on the piling adjustment parameters, preset piling construction parameters are adjusted, and optimized piling construction parameters are obtained; and a communication channel of each device in the construction area is established, and the optimized piling adjustment parameters are applied to synchronous adjustment of parameters of each device. By means of the method, the uncertainty of parameter adjustment of the pile splicing auxiliary platform in the complex construction environment is effectively solved, dynamic optimization of piling parameters is achieved, and the adaptability to the complex construction environment is improved.

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