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A rapid evaluation method of blasting effect based on optimized image segmentation algorithm and application in

Peng He¹, Yifan Xu¹, Feng Jiang²

¹Shandong University of Science and Technology, Qingdao, 266590, China.

Scientific Reports

|February 27, 2024

Summary

This summary is machine-generated.

This study introduces an improved image segmentation algorithm for analyzing tunnel blasting effects. The new method accurately quantifies blasting block degree, enhancing construction efficiency and parameter optimization.

Keywords:

Blasting blocks Engineering site Image acquisition Improved image segmentation algorithm Self-developed software

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Area of Science:

Engineering
Computer Science
Geology

Background:

Traditional methods for analyzing tunnel blasting effects lack accuracy and objectivity.
Existing algorithms struggle with segmenting blasting debris, particularly at edges or leading to over-segmentation.

Purpose of the Study:

To develop an enhanced image segmentation algorithm for accurate blasting block degree analysis.
To create custom software for quantitative analysis and visualization of blasting debris.

Main Methods:

Combined genetic algorithm, Otsu algorithm, and marking watershed method for image segmentation.
Utilized ground digital image acquisition of blasting debris.
Developed specialized blasting analysis software for data processing and visualization.

Main Results:

The optimized algorithm significantly improves segmentation accuracy compared to traditional methods.
The new technology maintains comparable processing time to traditional methods.
The developed software provides real-time blasting block degree histograms and cumulative curves.

Conclusions:

The enhanced image segmentation technology enables rapid detection and identification of blasting blocks.
This provides crucial data support for optimizing blasting parameters and improving construction efficiency.
The study demonstrates significant application and promotion value for tunnel construction projects.