Rock foundation pit blasting parameter dynamic regulation and control method

Abstract

The invention discloses a rock foundation pit blasting parameter dynamic regulation and control method. The method comprises steps of establishing a nonlinear mapping relationship between an input vector and an output vector by using a GP machine learning method; taking the optimal hyper-parameter in the GP as a population sample in the DE algorithm, searching each optimal hyper-parameter of the GP through variation, intersection and selection in the DE process by means of the optimization capability of DE, optimizing the GP model, and improving the prediction capability of the GP model, thereby predicting an output value closer to an optimal solution. Furthermore, the optimal output value of the prediction result of the GP model and the mean square error between the output value and the control value are used as the fitness function of DE, and the prediction capability of the GP model is improved by optimizing the sample population and gradually approaching the optimal solution, so that the target vector closer to the optimal solution is predicted. According to the method, a Gaussian-differential evolution algorithm (GP-DE) blasting intelligent optimization algorithm is introducedon the basis of blasting monitoring data analysis to quickly and effectively optimize the blasting parameters, so that the construction process is ensured to be carried out safely.

Description

technical field [0001] The invention relates to the field of foundation pit blasting, in particular to a dynamic control method for rock foundation pit blasting parameters. Background technique [0002] When a hard rock formation is encountered during foundation pit excavation, it is necessary to use blasting excavation to break the rock formation. The traditional blasting method is a special operation, which requires a professional team and strict approval. The construction cost is high and it has great harm to the surrounding environment. In addition, the excavation of foundation pits in urban downtown areas is often adjacent to a large number of existing buildings (structures) and underground pipelines, and the blasting excavation method will inevitably affect them, and in severe cases, it will cause loss of personnel and property. [0003] In order to reduce the harm of foundation pit blasting to the surrounding environment, the Gaussian-difference evolution algorithm (...

AI Technical Summary

Problems solved by technology

The traditional blasting method is a special operation, which requires a professional team and strict approval. The construction cost is high and it has great harm to the surrounding environment.

In addition, the excavation of foundation pits in

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