基于改进MP-WVD算法的核电厂建设爆破振动信号处理方法

梅比; 汪旭光; 杨仁树

doi:10.11883/bzycj-2018-0055

基于改进MP-WVD算法的核电厂建设爆破振动信号处理方法

doi: 10.11883/bzycj-2018-0055

1.
中国矿业大学（北京）力学与建筑工程学院，北京 100083
2.
北京矿冶研究总院，北京 100160

基金项目: 国家自然科学基金(51808554)

详细信息

作者简介:
梅　比（1981－　），男，博士，高级工程师，blastmei2017@163.com

中图分类号: O389
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- 被引次数: 0
出版历程
- 收稿日期: 2018-02-09
- 修回日期: 2018-03-19
- 网络出版日期: 2019-03-25
- 刊出日期: 2019-04-01

Blasting vibration signal analysis technology of construction of nuclear power plant based on improved MP-WVD algorithm

1.
School of Mechanics, Architecture and Civil Engineering, China University of Mining and Technology, Beijing 100083, China
2.
Beijing General Research Institute of Mining and Metallurgy, Beijing 100160, China

摘要

摘要: 针对爆破施工产生的振动问题，结合现有信号分析方法优缺点，引入MP-WVD组合算法解决信号分析过程中交叉项干扰问题，可提高时频分辨率，满足精确提取核电爆破振动响应信号时频分布特征的需求；将HHT算法引入MP算法数据的预处理，成功降低了MP算法运算复杂度，可为大数据量分析奠定基础。运用该算法对漳州核电一期工程场地平整土石方爆破工程振动监测信号进行分析，精确提取了爆破振动信号的时频特征。
- MP算法 /
- WVD分布 /
- 时频分析 /
- 核电建设 /
- 爆破施工
Abstract: In this study, an MP-WVD combination algorithm is introduced to solve the cross term interference problem in signal analysis. The time-frequency resolution has been improved, which meets the requirement of accurately extracting time-frequency distribution characteristics of nuclear power station blasting vibration response signals. Introduction of HHT algorithm into the data preprocessing of MP algorithm has successfully reduced the computational complexity of MP algorithm, and laid the foundation for large data analysis. Combined with the first phase project of Zhangzhou nuclear power station, the improved algorithm has been applied to analyze blasting vibration signals. The time-frequency characteristics of blasting vibration signals in the surrounding terrain and earth rock environment of the nuclear power station were obtained. This will provide reference for vibration monitoring and safety protection of blasting in the extension project.
- MP algorithm /
- WVD distribution /
- time-frequency analysis /
- nuclear power construction /
- blasting construction

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图 1 分解过程示意图

Figure 1. Schematic diagram of decomposition process

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图 3 WVD时频分布图

Figure 3. WVD time-frequency distribution

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图 2 示例信号x(t)

Figure 2. Example signal x(t)

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图 4 MP算法分解结果

Figure 4. Decomposition results of MP algorithm

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图 5 各个子波的WVD分布

Figure 5. WVD distribution of each wavelet

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图 6 子波分解的WVD时频分布图

Figure 6. WVD time-frequency distribution of wavelet decomposition

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图 7 程序框图

Figure 7. Program diagram

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图 8 原始信号

Figure 8. Original signal

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图 9 子波集合

Figure 9. Collection of wavelets

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图 10 滤波效果对比

Figure 10. Comparison of filtering effects

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图 11 MP-WVD算法结果

Figure 11. Result of MP-WVD algorithm

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图 12 小波变换结果

Figure 12. Result of wavelet transform

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图 13 水平径向分量（X轴）

Figure 13. Horizontal radial component

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图 14 水平切向分量（Y轴）

Figure 14. Horizontal tangential component

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图 15 瞬时能量谱

Figure 15. Instantaneous energy spectrum

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图 16 频率边际谱

Figure 16. Marginal spectrum

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图 17 南山村测点数据分析结果

Figure 17. Data analysis result of Nanshan village

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图 18 人家村测点数据分析结果

Figure 18. Data analysis result of Renjia village

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表 1 两种方法所用机时对比

Table 1. Comparison of machine time between two methods

合成信号类型	信号波形	传统 MP 所用机时/s	改进 MP 所用机时/s
单正弦		96.11	1.90
双正弦		77.13	1.90
三正弦		82.96	1.71
典型爆破振动信号		82.08	1.58
注：信号长度，N=512，残差截断阈值，σ=0.05，CPU 型号，Intel Core i7-4710MQ，主频 2.5～3.1 GHz。

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表 2 爆破参数表

Table 2. Blasting parameters

孔径/mm	孔数	孔深/m	孔距/m	排距/m	抵抗线/m	孔药量/kg	段药量/kg	总药量/kg
115	47	13.0	5.5	3.2	2.2	85.0	170.0	3 984

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