摘要
人类已进入大数据和人工智能时代,其成果已惠及千家万户。然而,大数据和人工智能技术在科学研究领域的应用却相形见绌,还未真正得到重视。大数据和人工智能是一种方法,一种思路,它不同于传统的科学研究方法和思路。在科学研究中,什么是大数据研究呢?符合大数据3个技术取向的是大数据研究,采用全数据模式的是大数据研究,从数据出发的是大数据研究。文中介绍了我们利用全球数据库数据厘定的玄武岩、安山岩、大陆边缘弧玄武岩(CAB)构造环境判别图,其中安山岩判别图填补了学术界的空白。玄武岩(MORB、OIB、IAB)判别图也不同于学术界早先熟知的判别图,是根据元素之间的相关关系厘定的。文中还讨论了大数据研究带来的一些可能很有意义的科学问题。如:1.在判别图研究中发现了许多效果较好的图解,主要依赖的是主元素、过渡元素和金属元素之间的关系,上述关系有什么意义,为什么会起到判别的作用?2.数据挖掘发现,全球大洋中脊中酸性岩极度匮乏,是否说明上地幔严重缺水?3.研究发现,中新世是全球岩浆活动最发育的时期,这一时期全球还出现了许多重大地质事件,二者之间是否存在关联?4.中新世全球埃达克岩最发育,按照埃达克岩的出露,发现从青藏高原到喀尔巴阡可能存在一个巨型的欧亚高原;5.根据对新生代苦橄岩全球时空分布研究,提出了一个如何认识全球热点问题等。文中还提出了下一步研究的建议并强调指出,科学已经进入大数据和人工智能时代,在大数据和人工智能时代,科学划分的标准发生了变化:凡是能够用数据化表述的学科才称之为科学,而不能用数据化表述的学科就不是科学,看来,能否被数据化是科学与非科学的分水岭。在大数据和人工智能时代,地质学和矿床学遭遇了空前的危机。按照我们的预测,在可以预见的未来,地球物理学将远超地质学,空间科学将异军突起,而在地质学领域内地球化学一花独放的局面还将维系很长一段时间。文中最后还探讨了今后找矿靠什么的问题,认为物化探和钻探测试技术的进步非常重要,同时,发展人工智能技术也已迫在眉睫。
Humans have entered the era of big data and artificial intelligence and their achievements have benefited millions of households.However,the applications of big data and artificial intelligence technologies in the field of scientific research are dwarfed and have not really been taken seriously.Big data and artificial intelligence are a method,an idea,which is different from the traditional scientific research methods and ideas.In scientific research,what is big data research？In line with the big three data technology is big data research,the use of full data model is big data research,data from the big data research.This paper presents the discriminant maps of the tectonic setting of basalt,andesite and continental margin basalt basalt（CAB）determined by using the global database data.The andesite discriminant map fills the gaps in the academic field.Basalts（MORB,OIB,IAB）Discriminant plots are also different from those previously known in academia and are based on the correlation between elements.The article also discusses some of the most significant scientific issues that big data research can bring.Such as：1,found in the discriminant map of many good results,mainly depends on the main elements,the relationship between transition elements and metal elements,the relationship between what is the point,why play the role of discrimination？2,data mining found that the global mid-oceanic ridges in the extreme lack of acid rocks,whether a serious water shortage on the upper mantle？3,The study shows that the Miocene is the most developed period of the magmatic activity in the world.During this period,there are many major geological events in the world.Are there any correlation between the two？4,The adakite rocks in the world are the most developed in the Miocene.According to the adakites,it is found that there may be a giant Eurasian plateau from the Qinghai-Tibet Plateau to the Carpathians.Time and space distribution put forward a how to understand the global hot issues.The paper also proposes the suggestions for further research and emphasizes that science has entered the era of big data and artificial intelligence.In the era of big data and artificial intelligence,the standard of scientific division has changed：all the subjects that can be expressed in digital form It is not a science that is science,but cannot be expressed by dataization.It seems that whether it can be digitized is a watershed between science and non-science.In the era of big data and artificial intelligence,geology and mineralogy suffered an unprecedented crisis.According to our prediction,in the foreseeable future,geophysics will far exceed geology and space science will suddenly emerge.In the field of geology,geochemistry will remain dominated for a long time.Finally,the paper also discusses the future prospecting for what the problem,that the geophysical and drilling testing technology advances are very important,at the same time,the development of artificial intelligence technology is imminent.
作者
张旗
王金荣
陈万峰
王玉玺
焦守涛
刘欣雨
ZHANG Qi;WANG Jin-rong;CHEN Wan-feng;WANG Yu-xi;JIAO Shou-tao;LIU Xin-yu(Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China;Key Laboratory of Mineral Resources in Western China （ Gansu Province ）, School of Earth Sciences, Lanzhou University, Lanzhou 730000, China;Geological Survey of Gansu Province, Lanzhou 730000, Gansu, China;School of Earth Science and Geological Engineering, Sun Yat-sen University, Guangzhou 510275, China;State Key Laboratory of Continental Dynamics, Department of Geology, Northwest University, Xi＇an 710069, Chin)
出处
《甘肃地质》
2018年第1期1-11,共11页
Gansu Geology
关键词
大数据
人工智能
岩石
地球化学
数据库
地质学
矿床学
危机
进展
big data
artificial intelligence
rock
geochemistry
database
geology
mineral deposit geology
crisis
progress
