基于三维磁成像的近场磁性体探测

doi:10.19596/j.cnki.1001-246x.7966

计算物理 ›› 2020, Vol. 37 ›› Issue (1): 88-96.DOI: 10.19596/j.cnki.1001-246x.7966

基于三维磁成像的近场磁性体探测

李健, 金春杏, 张宇, 黄新敬

天津大学精密测试技术及仪器国家重点实验室, 天津 300072

收稿日期:2018-09-20 修回日期:2018-11-01 出版日期:2020-01-25 发布日期:2020-01-25
通讯作者: 黄新敬,E-mail:huangxinjing@tju.edu.cn
作者简介:李健(1974-),男,教授,博士生导师,主要研究方向为管道泄漏检测、管道安全预警和新型管道内检测器,E-mail:tjupipe@tju.edu.cn
基金资助:
国家自然科学基金（51604192，61773283，61473205）资助项目

Near-field Ferromagnetic Object Detection Based on 3D Magnetic Imaging

LI Jian, JIN Chunxing, ZHANG Yu, HUANG Xinjing

State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China

Received:2018-09-20 Revised:2018-11-01 Online:2020-01-25 Published:2020-01-25

摘要/Abstract

摘要： 提出一种近场条件下未知磁源的三维磁成像方法.考虑到大多数磁性体不仅受背景磁场磁化，本身也带有较强剩磁，将观测面上的磁场转换为磁场矢量异常模量，并建立目标函数进行最优化求解，以得到符合观测磁场特征的磁性体磁化模型.仿真和实验表明：此方法可有效消除剩磁对反演结果的影响，能够实现对近场多个磁源磁化率分布的成像，验证了所提方法用于探测隐含磁体位置和形状的可行性.

关键词: 磁反演, 磁性体探测, 磁异常, 磁异常模量

Abstract: We propose a method for three-dimensional inversion imaging of unknown magnetic sources in near-field conditions. Considering that most magnetic sources are not only magnetized with background magnetic field, but also have strong remanence, we convert magnetic field on observation surface into magnetic field vector anomaly modulus, and establish objective function to optimize solution to get the best match for magnetic field characteristics. Simulations and experiments show that the method eliminates effectively influence of residual magnetism on inversion results, and realizes imaging of magnetic susceptibility distribution of multiple magnetic sources in near field. It shows that the proposed method can be used to detect position and shape of unknown magnetic body.

Key words: magnetic inversion, magnetic sources detection, magnetic anomaly, magnetic anomaly modulus

中图分类号:

P318

李健, 金春杏, 张宇, 黄新敬. 基于三维磁成像的近场磁性体探测[J]. 计算物理, 2020, 37(1): 88-96.

LI Jian, JIN Chunxing, ZHANG Yu, HUANG Xinjing. Near-field Ferromagnetic Object Detection Based on 3D Magnetic Imaging[J]. CHINESE JOURNAL OF COMPUTATIONAL PHYSICS, 2020, 37(1): 88-96.

参考文献

[1] LI S L, LI Y. Inversion of magnetic anomaly on rugged observation surface in the presence of strong remanent magnetization[J]. Geophysics, 2014, 79(2):502-14.
[2] LI S L, LI Y G, MENG X H. The 3D magnetic structure beneath the continental margin of the northeastern South China Sea[J]. Applied Geophysics, 2012, 9(3):237-246.
[3] LV B L. Study on the underwater objects key technologies for detecting using the magnetic survey and their applications[D]. China University of Geosciences, 2015.
[4] DU J. Study on processing, forward modeling and inversion algorithms of satellite magnetic anomaly data in spherical coordinate system[J]. Acta Geodaetica Et Cartographica Sinica, 2015, 44(2).
[5] ZHANG Y R, NIE Z P, QI L F, ZHANG T Y. Inversion of the conductivity in the large formation region using the multi-information of array[J]. Chinese Journal of Computational Physics,1998,16(3):67-76.
[6] CHEN Z L, FAN L F, WANG H B. Applying magnetic field gradient method to detect abandoned bombs[J]. Progress in Geophysics, 2014, 29(4):1889-1894.
[7] YU Z H, WANG C L, WU W X, et al. Physical simulation experiment and analysis to the effective depth for magnetic survey detecting unexploded ordnance[J]. Chinese Journal of Engineering Geophysics, 2007, 4(2):118-122.
[8] LI C M, SONG X L, LI J, et al. Positioning the Yangtze river shipwreck with high-precision magnetic measurement[C].Chinese Geophysics Annual Meeting, Beijing, 2006.
[9] WANG C L, PENG S B. Application of high precision magnetometary in sunk ships at Madang fort of Yangtze river[J]. Geological Science and Technology Information, 2000, 19(3):98-102.
[10] WANG C L, QI M S, HU Z P. The magnetic method for the wooden ship detecting model experiment and the result analysis[J]. Geophysical & Geochemical Exploration, 2015, 39(5):962-966.
[11] PILKINGTON M. 3D magnetic data-space inversion with sparseness constraints[J]. Geophysics, 2008, 74(1):L7.
[12] YAO C, HAO T, GUAN Z, et al. High-speed computation and efficient storage in 3-D gravity and magnetic inversion[J]. Chinese Journal of Geophysics, 2003, 46(2):351-361.
[13] YAO C L, ZHENG Y M, ZHANG Y W,et al. 3-D gravity and magnetic inversion for physical properties using stochastic subspaces[J]. Journal of Geophysics, 2007, 50(5):1576-1583.
[14] LI Y, SHEARER S E, HANEY M M, et al. Comprehensive approaches to 3D inversion of magnetic data affected by remanent magnetization[J]. Geophysics, 2010, 75(1):L1.
[15] PILKINGTON M, BEIKI M. Mitigating remanent magnetization effects in magnetic data using the normalized source strength[J]. Geophysics, 2013, 78(3):J25-J32.
[16] LIU S B. 3D magnetic susceptibility imaging based on the amplitude of magnetic anomalies[D]. China University of Geosciences, 2011.
[17] PORTNIAGUINE O, ZHDANOV M S. 3-D magnetic inversion with data compression and image focusing[J]. Geophysics, 2000, 67(5):1532-1541.
[18] TIKHONOV A N, ARSENIN V Y. Solutions of ill-posed problems[J]. Mathematics of Computation, 1977, 32(144):491-491.
[19] WU Z, LI F, DO Y K. Least squares regularized method for one-dimensional source inverse heat conduction problem[J]. Chinese Journal of Computational Physics, 2016, 33(1):49-56.
[20] YAO L. Parameter identification in a 3-D groundwater flow numerical model an improved genetic algorithm and the Gauss-Newton method[J]. Chinese Journal of Computational Physics, 2005, 22(4):311-318.
[21] LIU J, XU L. Probability weighted conjugate gradient algorithm for concrete ultrasonic tomography imaging[J]. Chinese Journal of Computational Physics, 2015, 32(3):293-298.
[22] YANG X, LI R, WANG G, et al. Study on unfolding algorithms for neutron depth profiling[J]. Chinese Journal of Computational Physics, 2017, 34(5):603-610.
[23] BARBOSA V C F, SILVA J B C, MEDEIROS W E. Gravity inversion of a discontinuous relief stabilized by weighted smoothness constraints on depth[J]. Geophysics, 1999, 64(5):1429-1437.

基于三维磁成像的近场磁性体探测

Near-field Ferromagnetic Object Detection Based on 3D Magnetic Imaging

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