Volume 51 Issue 1
Jan 2023
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YUAN Liang,ZHANG Pingsong. Research progress and thinking on integrated tunneling and detection technology of rock roadway with TBM[J]. Coal Geology & Exploration,2023,51(1):21−32. doi: 10.12363/issn.1001-1986.22.12.0967
Citation: YUAN Liang,ZHANG Pingsong. Research progress and thinking on integrated tunneling and detection technology of rock roadway with TBM[J]. Coal Geology & Exploration,2023,51(1):21−32. doi: 10.12363/issn.1001-1986.22.12.0967

Research progress and thinking on integrated tunneling and detection technology of rock roadway with TBM

doi: 10.12363/issn.1001-1986.22.12.0967
  • Received Date: 20 Dec 2022
  • Rev Recd Date: 05 Jan 2023
  • Available Online: 14 Feb 2023
  • Issue Publish Date: 25 Jan 2023
  • The construction of Full Face Tunnel Boring Machine (TBM) in coal mines is crucial for achieving efficient and modern high-intensity development and mining operations. However, TBM has poor adaptability to adverse geological conditions, such as fracture zones, faults, soft rock layers, and water-rich areas, which can cause problems such as collapses, equipment sticking, and water gushing, hindering their development. To fully utilize the rapid tunneling efficiency of TBM, integrated design between advanced detection instruments and TBM must be performed. The key technology is the breakthrough in detection-while-tunneling. This paper reviews recent advancements in the integrated tunneling and detection technology of rock roadways in TBM construction. The seismic-while-tunneling, geoelectric-while-tunneling, and transient electromagnetic-while-tunneling technologies are introduced. The focus is on improving the accuracy of advanced detection while tunneling and realizing high-precision imaging of anomalous bodies. The development direction of the integrated tunneling and detection technology includes the advanced detection data acquisition system, signal processing method, and new roadway interface imaging methods. To achieve automation, information, and intelligence in tunneling and detection, an integrated management platform with an intelligent control system at its core should be established. This platform will allow for the intelligent selection of tunneling parameters and real-time processing and superposition imaging of advanced detection data. Additionally, an integrated identification system for intelligent control and geological conditions should be formed to provide transparent geological condition support for precise deep coal resource development and intelligent coal mine construction.

     

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