Monitor Mine Roadway Stability with Depth Estimation

Based on Patent Research | CN-116295074-A (2023)

In coal mining, accurately monitoring the deformation of mine roadways is crucial for safety. Traditional manual inspections are slow and expose workers to danger. Depth estimation, a computer vision task, offers a safer and more reliable alternative. Using binocular cameras, we can capture depth images to quantify roadway deformation. This allows for real-time monitoring, early detection of potential collapses, and ultimately, a safer working environment for miners. Like using sonar to map underwater terrain, depth estimation provides a detailed 3D view of the mine's structure.

SOLUTION OVERVIEW

Manual Monitoring Automated via AI

For mining and quarrying professionals, depth estimation offers a robust solution to the critical challenge of monitoring mine roadway integrity. This technology employs binocular cameras to capture visual data, which is then processed to generate detailed 3D models. By quantifying roadway deformation, depth estimation facilitates real-time monitoring and enables the early detection of potential hazards. This allows for proactive interventions, enhancing safety and operational efficiency in underground environments.

The practical advantage of depth estimation lies in its ability to automate monitoring, seamlessly integrating with existing mine management systems. Think of it as a highly sensitive seismograph for roadways, detecting subtle shifts before they escalate. This approach reduces reliance on manual inspections, minimizing risks to personnel while allowing for optimized resource allocation for ground support. The ability to identify and address potential issues early translates into significant operational improvements and a safer, more productive mining environment.

HOW IT WORKS

Discovering Deformation via Depth Maps

Capturing Stereoscopic Mine Roadway Images

Capturing images of the mine roadway is the first step. Binocular cameras are strategically placed to record synchronized visual data from slightly different perspectives, mimicking human vision. This setup allows the system to perceive depth within the roadway environment.

Processing Images for Depth Information

Processing the captured images is the next critical stage. The system analyzes the slight differences between the images from the two cameras to determine the distance to various points in the scene. This process generates a depth map, which represents the 3D structure of the roadway.

Quantifying Roadway Deformation Over Time

Quantifying Roadway Deformation is the core function of the system. By analyzing the depth maps over time, the system identifies subtle changes in the roadway's shape and structure. This allows the system to accurately measure deformation, providing crucial data for safety monitoring and predictive maintenance in the mining environment.

Potential Benefits

Enhanced Worker Safety

Real-time monitoring of mine roadways allows for immediate detection of deformation. This proactive approach minimizes the risk of unexpected collapses, increasing worker safety.

Optimized Resource Allocation

Automated depth estimation provides continuous data, reducing the need for frequent manual inspections. This allows mining operations to allocate resources more efficiently to critical ground support activities.

Reduced Downtime and Costs

By identifying potential hazards early, depth estimation enables proactive maintenance. Addressing minor issues before they escalate prevents costly repairs and downtime.

Improved Data-Driven Decisions

The detailed 3D models generated by depth estimation offer comprehensive data for analysis. This enables better informed decisions regarding roadway stability and ground control strategies.

Implementation

1 Camera System Setup. Install binocular camera systems at strategic roadway locations. Ensure proper calibration and environmental protection.

2 Data Collection Protocol. Establish a data collection protocol for continuous image acquisition. Regularly check camera alignment and image quality.

3 Software Configuration. Configure the depth estimation software with mine-specific parameters. Calibrate for optimal accuracy in the roadway environment.

4 Depth Map Generation. Process captured images to generate depth maps of the roadway. Verify accuracy against known measurements.

5 Deformation Quantification. Compare depth maps over time to quantify roadway deformation. Establish thresholds for alerts and interventions.

6 System Integration & Visualization. Integrate deformation data into mine management systems. Visualize data for proactive safety management.

Source: Analysis based on Patent CN-116295074-A "Coal mine roadway surrounding rock deformation damage monitoring device and method based on depth image" (Filed: June 2023).