Application of 3D Radar in the Coal Mining Industry

Driven by the dual forces of global energy structure transformation and the wave of intelligence, the coal mining industry is undergoing a profound transformation from traditional mining modes toward intelligent and green directions. As a core technology in the field of spatial perception, 3D radar, with its high-precision 3D modeling, real-time dynamic monitoring, and strong anti-interference capabilities, is becoming a pivotal tool for addressing challenges related to coal mine safety, efficiency, and resource management. This article will systematically elaborate on the technological breakthroughs and practical value of 3D radar in the coal mining industry from five application scenarios: safety monitoring, warehouse management, equipment intelligence, personnel positioning, and disaster warning.

I. Safety Monitoring: From "Passive Response" to "Proactive Prevention"

Coal mining has long faced dynamic risks such as roof collapses, gas accumulation, and spontaneous coal seam combustion. Traditional monitoring methods primarily rely on manual inspections and single-point sensors, which suffer from limited coverage and delayed responses. 3D radar emits high-frequency electromagnetic waves to scan underground roadways, goafs, and support structures in real time, generating 3D point cloud data with millimeter-level precision and constructing dynamic digital twin models. For instance, a 3D radar system deployed in a coal mine in Shaanxi updates roadway deformation data every 10 minutes and, combined with AI algorithms, predicts roof subsidence trends, enabling warnings to be issued 72 hours in advance and reducing collapse accident rates by 60%.

In gas monitoring, 3D radar can penetrate coal seams to identify gas accumulation zones and, combined with multispectral analysis technology, achieve 3D visualization of gas concentration and distribution. A 3D radar-gas coupling monitoring system introduced in a mine in Inner Mongolia successfully detected concealed gas-rich areas that traditional sensors had failed to cover, effectively preventing a major explosion accident.

II. Warehouse Management: From "Empirical Estimation" to "Precise Measurement"

As the core hub of coal mine production, the precise monitoring of coal bunker levels, volumes, and masses is directly related to production scheduling and operational safety. Traditional ultrasonic or heavy-hammer level meters suffer from large measurement errors and are susceptible to dust interference. In contrast, 3D radar employs non-contact scanning technology, fundamentally transforming this situation.

Take the LiDAR 3D material detection system jointly developed by Ningxia Coal Industry and Harbin Institute of Technology as an example. This system scans coal bunkers at a frequency of 300,000 laser point clouds per second, constructing real-time 3D models of the bunker interiors with an accuracy of ±2 cm. Its core innovations include:

• Multimodal Data Fusion: Combining radar point cloud data with gravity sensor data to synchronously calculate the mass, volume, and density of coal piles.
• Intelligent Health Management: Utilizing point cloud attenuation prediction algorithms to monitor the status of radar probes in real time, preventing data distortion caused by dust coverage.
• Linked Control: When the material level exceeds the warning threshold, the system automatically interlocks to control coal feeders to stop or switch coal flow directions, effectively preventing bunker overflow accidents.

Application data from the Meihuajing Mine shows that the system has improved coal bunker management efficiency by 40%, reduced manual inspection frequencies by 75%, and saved over 2 million yuan in annual operational costs.

III. Equipment Intelligence: From "Manual Operation" to "Autonomous Navigation"

The autonomous operation of underground equipment in coal mines (such as roadheaders and transport vehicles) heavily relies on precise perception of complex environments. 3D radar provides real-time 3D environmental mapping, offering obstacle avoidance path planning and dynamic positioning support for equipment. For example, a 3D radar navigation system introduced in a mine in Shanxi enables roadheaders to maintain positioning accuracy of ±5 cm in harsh environments with dust concentrations as high as 500 mg/m³, improving tunneling efficiency by 30%.

In the transportation sector, the integration of 3D radar with UWB positioning technology has enabled clustered collaborative operations of unmanned transport vehicles. The "5G+3D Radar" unmanned transport system deployed at the Caojiatan Coal Mine of China Energy Group allows transport vehicles to autonomously adjust their routes by perceiving roadway changes and obstacle positions in real time, reducing accident rates to zero and cutting labor costs by 60%.

IV. Personnel Positioning: From "Regional Tracking" to "Individual Precise Identification"

Underground personnel positioning is a critical aspect of emergency rescue and safety management. Traditional RFID or UWB technologies suffer from low positioning accuracy (typically 3-5 meters) and are susceptible to shielding by metallic structures. Leveraging multi-target recognition algorithms, 3D radar can simultaneously track the real-time positions, postures, and movement trajectories of hundreds of personnel with an accuracy of ±0.5 meters.

A 3D radar personnel positioning system deployed in a mine in Shaanxi, combined with AI behavior analysis technology, can identify violations such as personnel not wearing safety helmets or entering hazardous areas and issue real-time warnings. During a water inrush accident in 2024, the system precisely located trapped personnel, buying precious time for the rescue team and ultimately ensuring the safe rescue of all personnel.

V. Disaster Warning: From "Single Monitoring" to "Systematic Prevention and Control"

Early warning of coal mine disasters (such as fires and water inrushes) requires the integration of multi-source data. By constructing an underground 3D spatial database, 3D radar can integrate information from various sensors such as temperature, gas concentration, and stress, achieving three-dimensional monitoring and linked warning of disasters. For example, a "3D Radar + Internet of Things" disaster warning platform constructed in a mine in Shandong successfully predicted a spontaneous coal seam combustion accident in 2025. By analyzing abnormal temperature increases in coal piles and changes in oxygen concentration, the system issued warnings 48 hours in advance, effectively preventing major losses.

VI.Technological Evolution Trends: From "Single-Point Breakthroughs" to "Comprehensive Empowerment"

With the integration of cutting-edge technologies such as quantum sensing and terahertz waves, 3D radar is evolving toward higher precision, stronger penetration, and lower costs. For instance, the "Crow's Nest Antenna" 3D radar developed by the Fraunhofer Institute can simultaneously cover an underground area with a radius of 10 kilometers and reach a detection depth of 1,500 meters. Breakthroughs in silicon photonics technology have reduced the size of 3D radar to that of a mobile phone and cut costs by 80%, making large-scale deployment in coal mines feasible.

Conclusion

As the "eyes" and "brain" of intelligent transformation in the coal mining industry, 3D radar is profoundly reshaping traditional mining modes. From "proactive prevention" in safety monitoring to "lean operations" in warehouse management, from "autonomous decision-making" in equipment intelligence to "systematic prevention and control" in disaster warning, the technological value of 3D radar has extended from single scenarios to the entire production chain of coal mines. In the future, with the deep integration of 5G, artificial intelligence, and digital twin technologies, 3D radar will accelerate the coal mining industry's progress toward the goal of "zero accidents, zero emissions, and zero waste" green intelligent mines, contributing Chinese wisdom and solutions to global energy security and sustainable development.