基于地外环境激光诱导等离子体演化机理的LIBS定量反演技术
批准号:
11904378
项目类别:
青年科学基金项目
资助金额:
26.0 万元
负责人:
李鲁宁
依托单位:
学科分类:
光谱学与固体发光
结题年份:
2022
批准年份:
2019
项目状态:
已结题
项目参与者:
中文摘要
激光诱导击穿光谱(LIBS)技术在深空探测领域的成功应用举世瞩目。我国首次火星探测工程就将使用LIBS技术来探测分析火星表面物质成分。LIBS在定性分析上虽已相对成熟,但在定量分析的准确度和稳定性上仍存在不足,这是因为对关键物理过程及其内在机理的认识还不够全面深入。本项目综合考虑热传导、高阶电离、激光等离子体相互作用、等离子体膨胀传播等过程,优化现有理论模型,采用PIC粒子模拟、求解欧拉方程、Saha-Eggert方程等多样化手段,深入研究激光诱导等离子体的形成及其在环境中的演化动力学过程,揭示火星大气环境下的等离子体演化宏观规律和微观机理,并结合实验,进一步完善理论成果。此外还将基于相关机理来构建优化LIBS光谱信号的方法体系,并有针对性地开发出准确度和稳定性更高的LIBS定量反演分析技术。本项目成果对我国研究火星具有重要科学意义,并为LIBS在其它地外环境下的应用提供理论基础和思路。
英文摘要
The successful application of laser-induced breakdown spectroscopy (LIBS) in deep space exploration has attracted worldwide attention. China’s first Mars explorer will employ LIBS to detect and analyze the chemical composition of different materials on Mars surface. Although LIBS is relatively mature in qualitative analysis, there are still some deficiencies in quantitative analysis, in terms of accuracy and stability. This is mainly due to the insufficiency of comprehensive and in-depth understanding of the involved key physical processes and the underlying mechanisms. In this project, we comprehensively consider the key processes including heat conduction, high-order ionization, laser-plasma interaction, plasma expansion and propagation, etc., and ameliorate some of the existing theoretical models. Through utilizing diversified computational means, such as Particle-In-Cell (PIC) simulation, solving Euler Equation and Saha-Eggert Equation, we will penetrate into the formation of laser-induced plasma and its subsequent evolution dynamics in ambient gases, and thereafter reveal the macroscopic laws and microscopic mechanisms of plasma evolution in Martian atmosphere. Our theoretical framework will be further improved based on our experimental verification results. In addition, a methodology for achieving LIBS spectra with higher signal quality will be constructed based on the relevant mechanisms, and a LIBS quantitative retrieval technology with higher accuracy and stability will be developed based on the higher-quality spectra. The expected achievements of this project will help to provide a better quantitative analysis of the Mars surface materials. They are of great scientific significance for China to the exploration and further study of Mars, and would provide theoretical basis and mentality for the extensive applications of LIBS in other extraterrestrial atmospheric environments.
本项目的背景是基于我国“天问一号”首次火星探测任务。我国祝融号火星车上有六大科学载荷,其中一个就是火星表面成分探测仪(MarSCoDe)。MarSCoDe设备的核心探测技术是激光诱导击穿光谱(LIBS),利用LIBS技术可对火星表面的土壤、岩石、矿石等物质进行化学元素成分的探测分析。.LIBS光谱数据反演包括定性和定量两方面,分别是指根据等离子体辐射特征谱线的波长和强度来进行元素识别和含量检测。LIBS在定性分析上已相对较为成熟,但定量反演仍是整个LIBS学界面临的难题,这是因为在基体效应、自吸收效应、实验参数效应等因素的干扰下,真实LIBS光谱中特征谱线的强度和化学成分含量之间并非理论上的简单线性关系,而往往是呈现复杂非线性关系。.本项目试图从两方面来为解决LIBS定量反演难题做出贡献:一是基于深度学习技术研发更先进的LIBS数据反演算法,从而提升LIBS光谱分析的准确度,二是基于LIBS关键物理过程的数值模拟对相关机理进行探究,从而优化LIBS实验方案并提升LIBS光谱质量。.在项目实施期间,开发设计了一种基于深度学习神经网络的LIBS数据反演方法,并在国际上首次将深度卷积神经网络用于LIBS多成分定量反演,以及在国际上首次将深度卷积神经网络用于分析LIBS多距离光谱混合数据集。利用MarSCoDe设备,我们对包含土壤、岩石、水系沉积物、金属矿石等地质学样品的多种国家标准物质采集了LIBS光谱,并构建了多套数据集。多种不同反演方法对比的结果表明,无论是物质识别分类还是成分定量反演,深度卷积神经网络算法的准确度均可显著高于传统方法和常规机器学习方法。另外,本项目还着重研究了激光加热烧蚀靶材这一LIBS关键物理过程,开展了理论数值模拟工作,并开发了一种基于最优权重因子的热传导方程高精度数值求解新方法。.本项目成果可为提升祝融号MarSCoDe设备LIBS数据反演的准确度提供创新方案和理论支撑,有助于更准确地分析火星表面物质化学成分,这对于研究火星形成过程、火星地貌地质演化历程等问题具有重要的科学意义。
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A Laser-Induced Breakdown Spectroscopy Experiment Platform for High-Degree Simulation of MarSCoDe In Situ Detection on Mars
高度模拟MarSCoDe火星原位探测的激光诱导击穿光谱实验平台
DOI:
10.3390/rs14091954
发表时间:
2022-04
期刊:
Remote Sensing
影响因子:
5
作者:
[Zhicheng Cui, Liangchen Jia, Luning Li, Xiangfeng Liu, Weiming Xu, Rong Shu, Xuesen Xu]
通讯作者:
Xuesen Xu
A laser-induced breakdown spectroscopy multi-component quantitative analytical method based on a deep convolutional neural network
基于深度卷积神经网络的激光诱导击穿光谱多组分定量分析方法
DOI:
10.1016/j.sab.2020.105850
发表时间:
2020-07
期刊:
Spectrochimica Acta Part B: Atomic Spectroscopy
影响因子:
--
作者:
[Lu-Ning Li, Xiang-Feng Liu, Wei-Ming Xu, Jian-Yu Wang, Rong Shu]
通讯作者:
Rong Shu
Comparison on Quantitative Analysis of Olivine Using MarSCoDe Laser-Induced Breakdown Spectroscopy in a Simulated Martian Atmosphere
在模拟火星大气中使用 MarSCoDe 激光诱导击穿光谱仪定量分析橄榄石的比较
DOI:
10.3390/rs14215612
发表时间:
2022-11
期刊:
Remote Sensing
影响因子:
5
作者:
[Xiangfeng Liu, Weiming Xu, Luning Li, Xuesen Xu, Hai Qi, Zhenqiang Zhang, Fan Yang, Zhixin Yan, Chongfei Liu, Rujun Yuan, Xiong Wan, Rong Shu]
通讯作者:
Rong Shu
DOI:
10.1007/s11214-021-00836-5
发表时间:
2021
期刊:
Space Science Reviews
影响因子:
作者:
[Weiming Xu, Xiangfeng Liu, Zhixin Yan, Luning Li, Zhenqiang Zhang, Yaowu Kuang, Hao Jiang, Hongxuan Yu, Fan Yang, Chongfei Liu, Tingting Wang, Changkun Li, Yanfei Jin, Jiayi Shen, Botao Wang, Wenzhi Wan, Jun Chen, Shenghao Ni, Yunpeng Ruan, Rui Xu, Changxing Zhang, Ziyong Yua]
通讯作者:
Ziyong Yua
Laser-induced breakdown spectroscopy combined with a convolutional neural network: A promising methodology for geochemical sample identification in Tianwen-1 Mars mission
激光诱导击穿光谱与卷积神经网络相结合:天问一号火星任务中地球化学样品识别的一种有前途的方法
DOI:
10.1016/j.sab.2022.106417
发表时间:
2022-04
期刊:
Spectrochimica Acta Part B: Atomic Spectroscopy
影响因子:
--
作者:
[Fan Yang, Lu-Ning Li, Wei-Ming Xu, Xiang-Feng Liu, Zhi-Cheng Cui, Liang-Chen Jia, Yang Liu, Jun-Hua Xu, Yu-Wei Chen, Xue-Sen Xu, Jian-Yu Wang, Hai Qi, Rong Shu]
通讯作者:
Rong Shu
共 8 条
基于激光等离子体图谱融合与可视化辅助深度迁移学习的火星LIBS光谱反演技术
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批准号:62475273
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项目类别:面上项目
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资助金额:51.00万元
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批准年份:2024
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负责人:李鲁宁
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依托单位:
LIBS光谱探测距离效应机理研究与基于深度学习的多距离光谱数据反演技术
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批准号:22ZR1472400
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项目类别:省市级项目
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资助金额:0.0万元
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批准年份:2022
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负责人:李鲁宁
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依托单位:
国内基金
海外基金