WANG W, ZHOU Q S, LU X W ,et al.Study on 3D visualization and risk early warning for gas-coal cross mining[J].Journal of Henan Polytechnic University(Natural Science) ,2026,45(1):86-94.

doi:10.16186/j.cnki.1673-9787.2023110062

Received:2023/11/30

Revised:2024/04/25

Published:2025-12-03

Study on 3D visualization and risk early warning for gas-coal cross mining

Wang Wen1,2, Zhou Qingshan1, Lu Xiaowei1, Guo Runsheng2, Cao Haibo1, Zhang Tong3

1.School of Energy Science and Engineering， Henan Polytechnic University， Jiaozuo  454000， Henan， China；2.Collaborative Innovation Center of Coal Work Safety and Clean High Efficiency Utilization， Jiaozuo  454000， Henan， China；3.Sinopec North China Petroleum Bureau， Zhengzhou  450006， Henan， China；4.School of Safety Science and Engineering， Anhui University of Science and Technology， Huainan  232001， Anhui， China

Abstract: Objectives This study aims to achieve real-time early warning of potential risks in gas-coal overlapping areas and ensure the safety of gas-coal cross mining. Methods Taking the Daniudi Gas Field and a coal mine in the Hujilt mining area of the Ordos Basin as the engineering background， this study investigates the deformation characteristics and vulnerable zones of natural gas wells affected by mining activities. A prediction method for controlling the safe avoidance distance of natural gas wells was established. By integrating 3ds Max digital modeling， the Unity3D engine， and C# programming， a three-dimensional visualization and risk early warning platform was developed， featuring six major functional modules for gas-coal model linkage display and cross-regional risk warning. Results The platform realizes 3D visualization based on virtual-real mapping， laying a solid foundation for early warning system design and development. Through the analysis of field monitoring data， the effects of overburden movement and surface subsidence on the deformation of overlying oil and gas pipelines were revealed， and a 3D visualization of regional subsidence contour zoning was constructed. Based on the proposed prediction method for safe avoidance distance control， real-time visual early warning between natural gas wells and coal mining faces was achieved. Furthermore， a comprehensive risk prediction and early warning platform integrating surface subsidence monitoring， pipeline deformation monitoring， and safe distance monitoring of natural gas wells was established based on GNSS monitoring technology. Conclusions The visualization platform enables 3D display， data monitoring， and real-time early warning in gas-coal overlapping areas. It provides technical support for coordinated gas-coal mining and offers a scientific basis for disaster prevention and control in gas-coal overlapping regions.

Key words:3D visualization;coordinated mining of gas and coal;Unity3D;safe avoidance distance;real time warning