en.Wedoany.com Reported - The Department of Science and Technology of Inner Mongolia Autonomous Region, China, announced the results of major science and technology projects in the high-tech field for 2026. The project "Research and Demonstration Application of Key Technologies for Intelligent and Precise Prevention of Rockburst and Gas Outburst Compound Dynamic Disasters in Deep Coal Mines," submitted by Professor Han Jun of the Ordos Research Institute of Liaoning Technical University as the chief scientist, has been officially approved, with a special budget of 40 million yuan. The project is composed of an innovation consortium of 10 units, led by China Coal (Ordos) Energy Technology Co., Ltd., a subsidiary of China Coal Energy Group.
This project addresses the geological safety challenges faced as coal mining extends to deeper depths in regions such as the Inner Mongolia Autonomous Region. As mining depth increases, conditions such as in-situ stress and gas pressure become more complex. The coupling of two typical dynamic disasters—rockburst and coal and gas outburst—significantly increases the difficulty of managing compound disasters. The project aims to solve this industry-wide technical challenge and enhance the capability for disaster risk identification and engineering management during deep coal resource development.
According to the project plan, research will follow the main line of "mechanism understanding—regional prediction—multi-source monitoring—intelligent early warning—coordinated prevention—demonstration and promotion." The project consists of five research topics, with core tasks including: constructing a quantitative characterization model for mechanical failure and energy dissipation of gas-bearing coal rock; developing multi-parameter while-drilling intelligent sensing technology for roadway surrounding rock and establishing a true 3D transparent geological model; and revealing the geological dynamic system disaster-causing mechanism of compound dynamic disasters. At the technical implementation level, the team will develop a multi-parameter fusion intelligent early warning model based on artificial intelligence deep learning and integrate a big data platform for rockburst intelligent supervision. For engineering prevention and control, the project will reveal the synergistic mechanism of "unloading—reducing—resisting," develop key equipment such as hydraulic fracturing equipment for hard roofs and grouting reinforcement devices for roadway surrounding rock, and conduct on-site application demonstrations in typical deep mines.
The Ordos Research Institute of Liaoning Technical University was established in February 2023, jointly founded by the Ordos Municipal People's Government and Liaoning Technical University. It is an independent legal entity public institution with a research team of over 120 people. The project lead unit, China Coal (Ordos) Energy Technology Co., Ltd., was established in 2023 with a registered capital of 68.8 million yuan. It is affiliated with China Coal Energy Group Co., Ltd., focusing on technical research and engineering services in the field of rockburst and its compound disaster prevention.
After the implementation of this project, it is expected to establish a compound dynamic disaster intelligent supervision platform, forming a system of multi-parameter while-drilling intelligent sensing equipment and key technologies and equipment for coordinated prevention and control. The research results will provide technical support for the safe and efficient mining of deep coal resources in the Inner Mongolia Autonomous Region, innovation in mine safety science and technology, and the green and intelligent development of the coal industry.
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