基于VR技术的多尺度地质数据3D沉浸式可视化与交互方法
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摘要
随着科技的飞速发展,地质大数据正在呈爆炸式增长,地质大数据可视化与交互方法成为研究的新方向。如何通过可视化方法将巨大的、复杂的、潜逻辑的地质数据展现与交互是需要进一步探索的。本文提出基于VR技术的多尺度地质数据3D沉浸式可视化与交互方法,该方法既符合计算思维又符合地质专业理论。首先,从理论上提出多尺度地质数据可视化理论模型;其次,基于VR技术实现多尺度、多分辨率地质数据的可视化;最后,构建了3D沉浸式虚拟现实平台,采用实际数据验证方法的有效性。该方法适用于地质数据的可视化与交互,为科学的定量评价、分析和教学提供新思路,是未来的必然发展趋势。
Rapid technology development leads to new direction of mineralogy exploration and teaching involving visualization and interaction of geological big data.Further exploration is needed on how to visualize and interact with the voluminous and complex geological big data which have no apparent logical structures.We have studied the 3 Dimmersive visualization and interaction method for multi-scale geological data based on virtual reality(VR)and recognize the method is consistent with computational thinking and geological theory.In this paper,we first propose a theoretic framework for the multi-scale geological data visualization method.Next,we apply this method to visualize the multi-scale/multi-resolution geological data based on VR technology.Finally,we construct the 3 Dimmersive VR platform and validate the method using actual data.We present here a new approach in visualization and interaction of geological data,as well as in scientific quantitative evaluation,analysis and teaching,illustrating an inevitable future development trend.
Rapid technology development leads to new direction of mineralogy exploration and teaching involving visualization and interaction of geological big data.Further exploration is needed on how to visualize and interact with the voluminous and complex geological big data which have no apparent logical structures.We have studied the 3 Dimmersive visualization and interaction method for multi-scale geological data based on virtual reality(VR)and recognize the method is consistent with computational thinking and geological theory.In this paper,we first propose a theoretic framework for the multi-scale geological data visualization method.Next,we apply this method to visualize the multi-scale/multi-resolution geological data based on VR technology.Finally,we construct the 3 Dimmersive VR platform and validate the method using actual data.We present here a new approach in visualization and interaction of geological data,as well as in scientific quantitative evaluation,analysis and teaching,illustrating an inevitable future development trend.
引文
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[25]丁建华,肖克炎,娄德波,等.大比例尺三维矿产预测[J].地质与勘探,2009,45(6):729-734.
[26]毛先成,戴塔根,吴湘滨,等.危机矿山深边部隐伏矿体立体定量预测研究:以广西大厂锡多金属矿床为例[J].中国地质,2009,36(2):424-435.
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[28] LIDORIKIS E,BACHLECHRIC M E,KALIA R K,et al.Coupling length scales for multiscale atomistics-continuum simulations:atomistically induced stress distributions in Si/Si3N4nanopixels[J].Physical Review Letters,2001,87(8):86-104.
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[30] BARTH T J,CHAN T,HAIMES R.Multiscale and multiresolution methods:theory and applications[M].Berlin,New York:Springer,2002.
[31]王崇愚.多尺度模型及相关分析方法[J].复杂系统与复杂性科学,2004,1(1):9-19.
[32] GHONIEM N M, WIRTH B.Challenges for multiscale modeling of fusion materials[EB/OL].(2002-09-17)[2017-06-11].http:∥p-grp.nucleng.kyoto-u.acj.p/bpsi/pdf/Multiscale-4-ISOFS.pdf.
[33]刘光然,虚拟现实技术[M].北京:清华大学出版社,2010.
[34] GORAN.Virtual reality:a brief history[EB/OL].(2016-03-09)[2017-6-11].http:∥www.useoftechno-logy.com/virtual-reality-history/.
[35] PAUL S.4ways VR will change big data[EB/OL].(2017-03-31)[2017-6-11].https:∥www.datanami.com/2017/03/01/4-ways-vr-will-change-big-data/.
[36] COWGILL E,BERNARDIN T S,OSKIN M E,et al.Interactive terrain visualization enables virtual field work during rapid scientific response to the 2010Haiti earthquake[J].Geosphere,2012,8(4):1-18.
[37] GB3Dtype fossils|British Geological Survey(BGS)[EB/OL].(2014-09-22)[2017-6-11]http:∥www.3d-fossils.ac.uk/.
[38]郭艳军,陈斌,秦善,等.结晶学与矿物学虚拟仿真实验教学探索[J].实验室研究与探索,2017,36(8):161-165.
[2] Open Geoscience Free data British Geological Survey(BGS)[EB/OL].(2013-12-08)[2017-06-10].www.bgs.ac.uk/open geo-science.
[3]许百泉,郭艳军,颜世强,等.加拿大地质资料信息管理与服务研究[M].北京:煤炭工业出版社,2014.
[4]赵伟,潘懋,郭艳军,等.澳大利亚地质资料信息服务现状及其对我国的启示[J].中国矿业,2013,22(7):53-57,67.
[5]马智民,杨东来,李景朝,等.主要发达国家地学信息服务的现状与特点[J].地质通报,2007,26(3):355-360.
[6]郭艳军,颜世强,王喆,等.英国开放式地学信息服务模式的研究[J].中国矿业,2014,23(9):138-144.
[7]张旗,周永章.大数据正在引发地球科学领域一场深刻的革命:《地质科学》2017年大数据专题代序[J].地质科学,2017,52(3):637-648.
[8] Big data visualization:review of the 20best tools[EB/OL].(2016-03-31)[2017-6-10].http:∥www.68dl.com/research/2014/1013/12285.html.
[9] BILL F.Taming the big data tidal wave:finding opportunities in huge data streams with advanced analytic[M].Beijing:People's Posts and Telecommunications Publishing House,2013.
[10] LAKE B M,SALAKHUTDINOV R,TENENBAUM J B.Human-level concept learning through probabilistic program induction[J].Science,2015,350(6266):1332-1338.
[11]周永章,陈铄,张旗,等.大数据与数学地球科学研究进展:大数据与数学地球科学专题代序[J].岩石学报,2018,34(2):255-263.
[12]周永章,黎培兴,王树功,等.矿床大数据及智能矿床模型研究背景与进展[J].矿物岩石地球化学通报,2017,36(2):334-339.
[13]王登红,刘新星,刘丽君.地质大数据的特点及其在成矿规律、成矿系列研究中的应用[J].矿床地质,2015,34(6):1143-1154.
[14]周永章,李兴远,郑义,等.钦杭结合带成矿地质背景及成矿规律[J].岩石学报,2017,33(3):667-681.
[15]王登红,陈毓川,徐志刚,等.成矿体系的研究进展及其在成矿预测中的应用[J].地球学报,2011,32(4):385-395.
[16] LEMON A M,JONES N L.Building solid models from boreholes and user-defined cross-section[J].Computers and Geosciences,2003,29(3):547-555.
[17] WEIHED P.3D,4Dand predictive modelling of major mineral belts in Europe[M]∥Mineral Resource Reviews.Cham,Heidelberg,New York,Dordrecht,London:Springer,2015.
[18]陈建平,于淼,于萍萍,等.重点成矿带大中比例尺三维地质建模方法与实践[J].地质学报,2014,88(6):1187-1195.
[19]丛威青,潘懋,吕才玉,等.三维地质建模及可视化系统在安庆铜矿勘查中的应用[J].北京大学学报(自然科学版),2009,45(4):633-638.
[20]赵增玉,潘懋,郭艳军,等.三维矿产资源潜力评价中GIS空间分析的应用研究[J].地质学刊,2012,36(4):366-372.
[21]屈红刚,王勇,潘懋,等.基于含拓扑剖面的三维地质建模[J].北京大学学报(自然科学版),2006,42(6):717-723.
[22]郭艳军,潘懋,王喆,等.基于钻孔数据和交叉折剖面约束的三维地层建模方法研究[J].地理与地理信息科学,2009,25(2):23-26.
[23]陈建平,吕鹏,吴文,等.基于三维可视化技术的隐伏矿体预测[J].地学前缘,2007,14(5):54-62.
[24]潘懋,方裕,屈红刚.三维地质建模若干基本问题探讨[J].地理与地理信息科学,2007,23(3):1-5.
[25]丁建华,肖克炎,娄德波,等.大比例尺三维矿产预测[J].地质与勘探,2009,45(6):729-734.
[26]毛先成,戴塔根,吴湘滨,等.危机矿山深边部隐伏矿体立体定量预测研究:以广西大厂锡多金属矿床为例[J].中国地质,2009,36(2):424-435.
[27]周涛发,袁峰,张明明,等.三维地质模拟在深部找矿勘探中的应用[J].安徽地质,2011,21(2):100-104.
[28] LIDORIKIS E,BACHLECHRIC M E,KALIA R K,et al.Coupling length scales for multiscale atomistics-continuum simulations:atomistically induced stress distributions in Si/Si3N4nanopixels[J].Physical Review Letters,2001,87(8):86-104.
[29] DEYMIER P A,VASSEUR J Q.Concurrent multiscale model of an atomic crystal coupled with elastic continua[J].Physical Review B,2002,66(13):134106(1-5).
[30] BARTH T J,CHAN T,HAIMES R.Multiscale and multiresolution methods:theory and applications[M].Berlin,New York:Springer,2002.
[31]王崇愚.多尺度模型及相关分析方法[J].复杂系统与复杂性科学,2004,1(1):9-19.
[32] GHONIEM N M, WIRTH B.Challenges for multiscale modeling of fusion materials[EB/OL].(2002-09-17)[2017-06-11].http:∥p-grp.nucleng.kyoto-u.acj.p/bpsi/pdf/Multiscale-4-ISOFS.pdf.
[33]刘光然,虚拟现实技术[M].北京:清华大学出版社,2010.
[34] GORAN.Virtual reality:a brief history[EB/OL].(2016-03-09)[2017-6-11].http:∥www.useoftechno-logy.com/virtual-reality-history/.
[35] PAUL S.4ways VR will change big data[EB/OL].(2017-03-31)[2017-6-11].https:∥www.datanami.com/2017/03/01/4-ways-vr-will-change-big-data/.
[36] COWGILL E,BERNARDIN T S,OSKIN M E,et al.Interactive terrain visualization enables virtual field work during rapid scientific response to the 2010Haiti earthquake[J].Geosphere,2012,8(4):1-18.
[37] GB3Dtype fossils|British Geological Survey(BGS)[EB/OL].(2014-09-22)[2017-6-11]http:∥www.3d-fossils.ac.uk/.
[38]郭艳军,陈斌,秦善,等.结晶学与矿物学虚拟仿真实验教学探索[J].实验室研究与探索,2017,36(8):161-165.
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