Tunnel smooth blasting charging scheme design method and system

By combining traditional design with deep learning-optimized tunnel smooth blasting charge design method, and using CNN-BiLSTM-Attention model for parameter adaptive optimization, the problem of reliance on human experience and poor parameter adaptability in tunnel smooth blasting design is solved, and efficient and accurate tunnel construction control is achieved.

CN122083799APending Publication Date: 2026-05-26CHINA RAILWAY 14TH CONSTR BUREAU GRP 4TH ENG +1
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Patent Information

Application Number
CN202610403122.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-30
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing tunnel smooth blasting parameter design schemes rely heavily on manual experience, have poor parameter adaptability, low design efficiency, and lack engineering practicality and closed-loop optimization, making it difficult to achieve precise control under different construction conditions.

Method used

Combining the traditional principles of smooth blasting design with deep learning optimization, a CNN-BiLSTM-Attention model is adopted to form a closed-loop optimization mechanism of "design-construction-feedback-relearning". By collecting basic parameters, generating initial design schemes and performing intelligent optimization, the charge structure and hole arrangement are automatically updated, and historical feedback data is used to incrementally update the model.

Benefits of technology

It significantly improves the precision and engineering applicability of tunnel smooth blasting design, reduces on-site blasting tests and manual adjustments, enhances forming quality and construction efficiency, reduces material waste, and enables intelligent and adaptive parameter design.

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Abstract

The invention discloses a tunnel smooth blasting charging scheme design method and system, and relates to the technical field of tunnel blasting engineering.The tunnel smooth blasting charging scheme design method comprises the steps that basic parameter data needed by tunnel smooth blasting design are collected and preprocessed; on the basis of a smooth blasting design theory and a preset parameter calculation model, initial design parameter values of smooth blasting charge are obtained through calculation according to the basic parameter data, and an initial design scheme is generated; inputting the initial design parameter value, the section geometric parameter data, the surrounding rock condition parameter data, the explosive parameter data and the historical blasting effect feedback index value into a pre-trained neural network optimization model, and outputting an optimized smooth blasting charge design parameter value; and based on the optimized design parameter value, automatically updating the peripheral hole arrangement and charging structure in the design scheme, and generating and outputting a final tunnel smooth blasting charging design scheme. Intelligent and self-adaptive design of tunnel smooth blasting charging parameters can be realized, and the engineering applicability and the forming quality are improved.
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