[1]段玉伶①,何理①②,赵永明①,等.水下钻孔爆破振动信号的去噪方法及能量分析[J].爆破器材,2026,55(04):44-55.[doi:10.3969/j.issn.1001-8352.2026.04.006]
　DUAN Yuling,HE Li,ZHAO Yongming,et al.Denoising Methods and Energy Analysis of Vibration Signals from Underwater Drilling Blasting[J].EXPLOSIVE MATERIALS,2026,55(04):44-55.[doi:10.3969/j.issn.1001-8352.2026.04.006]
点击复制

水下钻孔爆破振动信号的去噪方法及能量分析()

《爆破器材》[ISSN:1001-8352/CN:32-1163/TJ]

卷:
55
期数:
2026年04
页码:
44-55
栏目:
爆破技术
出版日期:
2026-08-10

文章信息/Info

Title:
Denoising Methods and Energy Analysis of Vibration Signals from Underwater Drilling Blasting
文章编号:
6063
作者:
段玉伶①; 何理①②; 赵永明①; 陶好好①
①武汉科技大学冶金工业过程系统科学湖北省重点实验室（湖北武汉，430065）
②湖北省智能爆破工程技术研究中心（湖北武汉，430065）
Author(s):
DUAN Yuling①;  HE Li①②;  ZHAO Yongming①;  TAO Haohao①
①Hubei Province Key Laboratory of Systems Science in Metallurgical Process, Wuhan University of Science and Technology (Hubei Wuhan, 430065)
②Hubei Engineering Technology Research Center for Intelligent Blasting (Hubei Wuhan, 430065)
关键词:
水下钻孔爆破; 振动信号; 冠豪猪优化算法（CPO）; 小波包去噪; 能量分布
分类号:
TD235
DOI:
10.3969/j.issn.1001-8352.2026.04.006
文献标志码:
A
摘要:
水下钻孔爆破中，在噪声干扰下，难以准确提取爆破振动信号能量的分布特征。提出了一种基于冠豪猪优化算法（CPO）优化变分模态分解（VMD）的小波包阈值去噪方法。CPO-VMD-小波包算法通过CPO自适应优化VMD的关键参数模态数K与二次惩罚因子α，以最小包络熵为适应度函数，筛选最佳参数组合，并利用优化后的VMD将含噪信号分解为若干本征模态函数（IMF）；通过计算相关系数识别含噪分量，施加小波包阈值处理；最终，重构为降噪信号。对仿真与实测信号的处理结果表明，该方法在信噪比提升与特征保留方面均优于对比算法。进一步结合小波包时频能量分析发现，原始信号能量主要集中于低频40 Hz以下，且爆心距增大会引发频带能量先向中频、后向低频转移的现象。经CPO-VMD-小波包降噪后，高频噪声被有效地抑制，能量分布更为真实地反映了爆破振动特征。

参考文献/References:

［1］赵根, 陆少锋, 杨招伟, 等. 水下钻孔爆破技术新发展［J］. 工程爆破, 2024, 30(5): 102-111.

Zhao Gen, Lu Shaofeng, Yang Zhaowei, et al. New development of underwater drilling and blasting technology ［J］. Engineering Blasting, 2024, 30(5): 102- 111.
［2］司剑峰. 深水钻孔爆破的冲击波衰减规律及防护研究［D］. 武汉: 武汉科技大学, 2021.
Si Jianfeng. Research on attenuation law of shock wave and protection in deep-water drilling and blasting ［D］. Wuhan: Wuhan University of Science and Technology, 2021.
［3］詹发民, 王振雄, 赵守田, 等. 水下钻孔爆破水底振动信号的频带能量分布研究［J］. 兵器装备工程学报, 2019, 40(8): 111-118.
Zhan Famin, Wang Zhenxiong, Zhao Shoutian, et al. Study on band energy distribution of underwater blasting vibration in underwater drilling blasting ［J］. Journal of Ordnance Equipment Engineering, 2019, 40(8): 111-118.
［4］徐平, 侯伟琦, 乔世范, 等. 近岸水下钻孔爆破能量波传播规律及对水工构筑物毁伤效应研究［J］.振动与冲击, 2025, 44(6): 144-156, 183.
Xu Ping, Hou Weiqi, Qiao Shifan, et al. Energy wave propagation of nearshore underwater drilling blasting and its damaging effects on hydraulic structures ［J］. Journal of Vibration and Shock, 2025, 44(6): 144-156, 183.
［5］马晨阳, 吴立, 孙苗. 自由面数量对水下钻孔爆破振动信号能量分布及衰减规律的影响［J］. 爆炸与冲击, 2022, 42(1): 015201.
Ma Chenyang, Wu Li, Sun Miao. Influence of free surface numbers on the energy distribution and attenuation of vibration signals of underwater drilling blasting ［J］. Explosion and Shock Waves, 2022, 42(1): 015201.
［6］刘明武, 黄永辉, 李争荣, 等. 基于小波变换算法的普朗铜矿爆破振动信号能量分布研究［J］. 中国矿业, 2024, 33(3): 226-234.
Liu Mingwu, Huang Yonghui, Li Zhengrong, et al. Study on energy distribution of blasting vibration signals in Pulang Copper Mine based on wavelet transform algorithm ［J］. China Mining Magazine, 2024, 33(3): 226-234.
［7］何梦, 诸洲, 李贺龙. 基坑开挖爆破振动信号的小波包分析［J］. 江苏科技信息, 2022, 39(8): 33-37.
He Meng, Zhu Zhou, Li Helong. Wavelet packet analysis of blasting vibration signals in foundation pit excavation ［J］. Jiangsu Science & Technology Information, 2022, 39(8): 33-37.
［8］叶海旺, 钟航, 周汉红, 等. 基于VMD及能量熵的隧道爆破振动信号降噪方法［J］. 金属矿山, 2024(11): 111-117.
Ye Haiwang, Zhong Hang, Zhou Hanhong, et al. Noise reduction method of tunnel blasting vibration signal based on VMD and energy entropy ［J］. Metal Mine, 2024(11): 111-117.
［9］田婕, 张云鹏, 闫鹏, 等. 基于CEEMD的露天深孔爆破振动信号降噪光滑模型［J］. 爆破, 2024, 41(2): 143-150, 159.
Tian Jie, Zhang Yunpeng, Yan Peng, et al. A noise reduction smooth model of vibration signal of open-pit deep-hole blasting based on CEEMD ［J］. Blasting, 2024, 41(2): 143-150, 159.
［10］孙苗, 吴静, 吴立, 等. 基于CEEMDAN·MPE-NHT的爆破地震波信号时频分析［J］. 爆破, 2023, 40(4): 183-191.
Sun Miao, Wu Jing, Wu Li, et al. Timefrequency analysis of blasting seismic signals based on CEEMDAN·MPE-NHT ［J］. Blasting, 2023, 40(4): 183-191.
［11］孙苗, 吴立, 周玉纯, 等. 水下钻孔爆破地震波信号的最优降噪光滑模型［J］. 华南理工大学学报(自然科学版), 2019, 47(8): 31-37.
Sun Miao, Wu Li, Zhou Yuchun, et al. Optimal denoising smooth model of underwater drilling blasting seismic wave signal ［J］. Journal of South China University of Technology (Natural Science Edition), 2019, 47(8): 31-37.
［12］Peng Yaxiong, Liu Yunsi, Zhang Chao, et al. A novel denoising model of underwater drilling and blasting vibration signal based on CEEMDAN ［J］. Arabian Journal for Science and Engineering, 2021, 46: 4857-4865.
［13］胡洋腾, 买买提热依木·阿布力孜, 张超, 等. 基于参数优化的DBO-VMD-SVM滚动轴承故障诊断［J］. 计算机仿真, 2025, 42(1): 466-472.
Hu Yangteng, Abulizi M, Zhang Chao, et al. DBO-VMD-SVM rolling bearings fault diagnosis based on parameter optimization ［J］. Computer Simulation, 2025, 42(1): 466-472.
［14］Abdel-Basset M, Mohamed R, Abouhawwash M. Crested porcupine optimizer: a new nature-inspired metaheuristic ［J］. Knowledge-Based Systems, 2024, 284: 111257.
［15］龙红梅, 刘茜, 刘园, 等. 基于改进EMD-小波包的水声通信信号降噪方法［J］. 长江信息通信, 2025, 38(4): 179-181.
Long Hongmei, Liu Qian, Liu Yuan, et al. Noise reduction method of underwater acoustic communication signal based on improved EMD-wavelet packet ［J］. Changjiang Information & Communications, 2025, 38(4): 179-181.
［16］Bai Wenjun, Chang Yingjie. Denoising of blasting vibration signals based on CEEMDAN-ICA algorithm ［J］. Scientific Reports, 2023, 13: 20928.
［17］王婷婷, 李方, 霍雨佳, 等. 基于 AO 优化 VMD-小波包的岩石破裂声发射信号去噪算法［J］. 采矿与岩层控制工程学报, 2023, 5(6): 063067.
Wang Tingting, Li Fang, Huo Yujia, et al. Modified denoising algorithm of rock fracturing acoustic emission signal based on AO optimized VMD-wavelet packet ［J］. Journal of Mining and Strata Control Engineering, 2023, 5(6): 063067.
［18］刘金山. 基于改进EMD的爆破振动信号降噪方法［J］. 工程爆破, 2024, 30(4): 156-164.
Liu Jinshan. De-noising method of blasting vibration signal based on improved EMD ［J］. Engineering Blasting, 2024, 30(4): 156-164.
［19］陈吉辉, 仇文革, 赵旭伟, 等. 基于小波包技术地铁隧道分区爆破振动特性研究［J］. 振动与冲击, 2022, 41(6): 222-228, 255.
Chen Jihui, Qiu Wenge, Zhao Xuwei, et al. Vibration characteristics analysis of the metro tunnel subarea blasting based on wavelet packet technique ［J］. Journal of Vibration and Shock, 2022, 41(6): 222-228, 255.

相似文献/References:

[1]费鸿禄①,国志雨①,杨智广①,等.隧道掘进爆破振动在地表及上部岩体传播特征[J].爆破器材,2016,45(04):54.[doi:10.3969/j.issn.1001-8352.2016.04.012]
　FEI Honglu,GUO Zhiyu,YANG Zhiguang,et al.Propagation Characteristics of Tunnel Excavation Blasting Vibration on Surface and in Upper Rock Mass[J].EXPLOSIVE MATERIALS,2016,45(04):54.[doi:10.3969/j.issn.1001-8352.2016.04.012]
[2]李源①,吴立①,彭亚雄②,等.水下钻孔爆破冲击波下桥墩的动态响应及防护分析[J].爆破器材,2019,48(01):58.[doi:10.3969/j.issn.1001-8352.2019.01.011]
　LI Yuan,WU Li,PENG Yaxiong,et al.Dynamic Response and Protective Analysis of Bridge Pier to Shock Wave in Underwater Drilling Blasting[J].EXPLOSIVE MATERIALS,2019,48(04):58.[doi:10.3969/j.issn.1001-8352.2019.01.011]
[3]刘天云①,龚书堂②,胡伟才③,等.水下钻孔爆破水击波的传播规律及气泡帷幕对水击波的削减作用[J].爆破器材,2020,49(02):16.[doi:10.3969/j.issn.1001-8352.2020.02.003]
　LIU Tianyun,GONG Shutang,HU Weicai,et al.Propagation Law of Water Hammer Wave in Underwater Drilling Blasting and Reduction of Bubble Curtain on Water Hammer Wave[J].EXPLOSIVE MATERIALS,2020,49(04):16.[doi:10.3969/j.issn.1001-8352.2020.02.003]
[4]李红旗,李启佳,邹永胜.深水条件下雷管的环境适应性研究[J].爆破器材,2025,54(04):33.[doi:10.3969/j.issn.1001-8352.2025.04.006]
　LI Hongqi,LI Qijia,ZOU Yongsheng.Environmental Adaptability of Detonators under Deep Water Conditions[J].EXPLOSIVE MATERIALS,2025,54(04):33.[doi:10.3969/j.issn.1001-8352.2025.04.006]

备注/Memo

备注/Memo:
收稿日期：2025-07-28
基金项目：国家自然科学基金（52274136、51904210）；湖北省自然科学基金（2024AFB766）
第一作者：段玉伶（2000—），女，硕士研究生，主要从事爆破工程技术方面的研究。E-mail: 1627130131@qq.com
通信作者：何理（1986—），男，博士，教授，主要从事岩土工程爆破方面的研究。E-mail: emp-heli@hotmail.com
更新日期/Last Update: 2026-08-07