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Optimization decomposition and related feature analysis of rock vibration signals in gas blasting
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Xiaoqiang FU1, 2, 3, Liangyu DAI2, Jin YU3, Yiqiang SHAO4
China Safety Science Journal | 2025, 35(5) : 64 - 72
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China Safety Science Journal | 2025, 35(5): 64-72
• Safety engineering technology •
Optimization decomposition and related feature analysis of rock vibration signals in gas blasting
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Xiaoqiang FU1, 2, 3, Liangyu DAI2, Jin YU3, Yiqiang SHAO4
Affiliations
  • 1College of Architecture and Civil Engineering, Sanming University, Sanming Fujian 365004, China
  • 2Sanming Coffer Fine Chemical Industrial Co., Ltd., Sanming Fujian 365500, China
  • 3Fujian Research Center for Tunneling and Urban Underground Space Engineering, Huaqiao University, Xiamen Fujian 361021, China
  • 4College of Civil Engineering, Fuzhou University, Fuzhou Fujian 350108, China
Published: 2025-05-28 doi: 10.16265/j.cnki.issn1003-3033.2025.05.1493
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In order to solve the problem of difficulty in determining the number of modes and quadratic penalty factors in the process of variational mode decomposition, a GWO-VMD algorithm was proposed. Based on the Longlong Tunnel gas explosion method construction, an integrated acquisition module was used to collect vibration signals during the rock-breaking process. The phase space reconstruction recursive graph (RP) similarity model was used to accurately distinguish the GWO-VMD principal components of the signals. The real signal with interference removed was reconstructed, revealing the distribution characteristics of the energy of the gas explosion signal in the time-frequency domain, and quantifying the accuracy error of the digital electronic detonator. The results show that compared with traditional variational mode algorithms, the GWO-VMD algorithm has significant advantages in improving the signal-to-noise ratio and adaptive feature extraction of gas explosion signals, and has strong time-varying frequency tracking performance. It can accurately identify the detonation accuracy of digital detonators and effectively identify the related of tunnel-blasting detonator disaster sources.

gas rock breaking  /  vibration signal  /  optimize decomposition  /  related features  /  recurrence plot  /  grey wolf optimizer-variational mode decomposition(GWO-VMD)
Xiaoqiang FU, Liangyu DAI, Jin YU, Yiqiang SHAO. Optimization decomposition and related feature analysis of rock vibration signals in gas blasting[J]. China Safety Science Journal, 2025 , 35 (5) : 64 -72 . DOI: 10.16265/j.cnki.issn1003-3033.2025.05.1493
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Year 2025 volume 35 Issue 5
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2025.05.1493
  • Receive Date：2024-12-11
  • Online Date：2026-07-08
  • Published：2025-05-28
Article Data
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History
  • Received：2024-12-11
  • Revised：2025-02-18
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Affiliations
    1College of Architecture and Civil Engineering, Sanming University, Sanming Fujian 365004, China
    2Sanming Coffer Fine Chemical Industrial Co., Ltd., Sanming Fujian 365500, China
    3Fujian Research Center for Tunneling and Urban Underground Space Engineering, Huaqiao University, Xiamen Fujian 361021, China
    4College of Civil Engineering, Fuzhou University, Fuzhou Fujian 350108, China
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表12种不同金属材料的力学参数
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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