Enhancing Grouting Assessment with Image Segmentation

Based on Patent Research | CN-116641758-A (2023)

Maintaining stability in coal mines requires effective grout sealing. Current methods for assessing grout effectiveness lack detailed analysis. This can risk water ingress and potential safety hazards. Image segmentation, a computer vision task, offers a solution. This task precisely identifies grout filling rates. It also determines residual porosity. Better analysis of grouting can improve mine safety. It also reduces the risk of structural issues. This leads to safer and more efficient mining operations.

SOLUTION OVERVIEW

Reimagining Manual Checks with AI

For mining and quarrying professionals, image segmentation technology offers a robust solution to enhance grout sealing effectiveness. This technology meticulously analyzes images of grout applications to pinpoint filling rates and porosity levels. It begins by capturing images of the treated areas, which are then processed using advanced algorithms. This process accurately distinguishes between the grout, surrounding rock, and any imperfections. The result is a detailed map of the grout's integrity, providing actionable insights for improved mine safety.

This technology automates the identification of potential weaknesses, integrating seamlessly into existing monitoring workflows. Think of image segmentation like an ultrasound for grout, revealing hidden porosity much like medical imaging detects internal issues. By providing a comprehensive understanding of grout effectiveness, this approach facilitates better resource allocation and informed decision-making in mine operations. Ultimately, image segmentation contributes to safer, more efficient, and structurally sound mining environments.

HOW IT WORKS

Grout Images = Defect Segmentation

Capturing Borehole Images with Camera

Capturing borehole images is the first step. A wide-angle camera is used to take pictures of the borehole's interior at various depths. These images provide the raw data for subsequent analysis of grout effectiveness.

Processing Images with Segmentation Algorithms

Next, the system focuses on processing the captured images. Advanced image segmentation algorithms analyze the images to differentiate between grout, surrounding rock, and any voids or imperfections. This process creates a detailed visual representation of the grout's distribution within the borehole.

Analyzing Data to Determine Effectiveness

Following image processing, the system analyzes the segmented data. It calculates the grout filling rate and identifies areas of residual porosity. This quantitative analysis reveals the effectiveness of the grouting process at different depths within the mine.

Generating Report of Grout Integrity

Finally, the system generates a detailed report summarizing the grout's integrity. This report highlights areas of concern, such as high porosity or incomplete filling, providing actionable insights for improving grout sealing techniques. This enables informed decisions for safer and more efficient mining operations.

Potential Benefits

Enhanced Grout Sealing Performance

Improved Grout Effectiveness Analysis Image segmentation provides a detailed assessment of grout filling rates and porosity, ensuring more effective grout sealing and reducing the risk of water ingress in mines.

Minimized Structural Failure Risks

Reduced Risk of Structural Issues By identifying potential weaknesses in grout applications, the technology helps prevent structural problems, leading to safer and more stable mining environments.

Targeted Resource Management

Optimized Resource Allocation Detailed insights into grout effectiveness enable better resource allocation, ensuring that grouting efforts are focused where they are most needed.

Increased Operational Safety

Safer and More Efficient Operations Ultimately, better grout analysis contributes to safer and more efficient mining operations, minimizing potential hazards and improving overall productivity.

Implementation

1 Camera System Setup. Install borehole camera system. Ensure proper lighting and positioning for image capture.

2 Software Configuration. Calibrate image segmentation software. Adjust parameters for rock and grout differentiation.

3 Image Data Acquisition. Capture initial borehole images. Collect data from various depths for analysis.

4 Segmentation Processing. Process images using segmentation algorithms. Identify grout filling rates and porosity.

5 Effectiveness Analysis. Analyze segmentation data. Evaluate grout effectiveness and identify problem areas.

6 Report Generation. Generate grout integrity reports. Share findings and recommendations for improved sealing.

Source: Analysis based on Patent CN-116641758-A "Device and method for judging grouting effect under coal mine" (Filed: August 2023).