中国地质2025，Vol.52Issue(3)：890-914,25.DOI:10.12029/gc20240919002
大数据与数智化时代:全过程全要素质量控制新范式
Era of big data,digitalization and intelligentization:New paradigm of the whole process and total factor quality control
摘要
Abstract
This paper is the result of mineral exploration engineering. [Objective]The current hotspots on big data are almost focused on how to discover or reveal the hidden value or secrets of big data,and there is an extreme lack of systematic,in-depth,and practical research or solutions on how to improve the quality of big data construction.However,the quality of big data construction is crucial for successfully discovering or revealing the hidden value or secrets of big data,and for making or implementing scientific and accurate decisions.[Methods]Firstly,by analyzing and summarizing the existing relevant research results,including the quality control experiences of the big data construction of China's National Mineral Resource Potential Evaluation(2006-2013),the entity data models for ore-searching prognosis in mineralization concentrating areas,and the basic framework of quality control models in the field of earth science.Then,with the help of big data thinking and digital and intelligent technologies,a digital and intelligent system of the whole process and total factor quality control for ore-searching prognosis and big data entity construction in mineralization concentrating areas is established.Finally,a new paradigm of the whole process and total factor quality control is proposed,which can be extended and supported to the quality control of big data asset construction in the field of earth science and beyond.[Results]This study has proposed the quality control theory and method on data division and graininessl,established a digital and intelligent system of the whole process and total factor quality control for ore-searching prognosis and big data entity construction in mineralization concentrating areas,developed quality control software,formulated standards and specifications for data quality check and evaluation,and efficiently supported and fulfilled the quality control works such as self check,mutual check,special check,supervision and check,field acceptance,initial review,final review,re-examination,and confirmation of acceptance for the construction of big data entities for ore-searching prognosis in mineralization concentrating areas.[Conclusions]The digital and intelligent system of the whole process and total factor quality control for ore-searching prognosis and big data entity construction in mineralization concentrating areas has originality,practicality,efficiency and universality,which can directly be expand to and support the quality control of big data asset construction in the field of earth science and beyond.The proposed new paradigm of the whole process and total factor quality control also is scientific,effective,and universally applicable.The proposed concept of ontology constraint for data model has universality and practical significance,that is,the definition of data model should meet the requirements of conceptualization,sharing,explicitness,and formalization,applicable to two-dimensional or high-dimensional map-type data entities,as well as simple(e.g.data sheet)or complex(e.g.relation database)(relation database)table-type data entities.关键词
数据质量控制/大数据思维/数字化转型/智能化转型/数智化技术/地质调查工程/矿产勘查工程Key words
data quality control/big data thinking/digital transformation/intelligent transformation/digital and intelligent technologies/geological survey engineering/mineral exploration engineering分类
天文与地球科学引用本文复制引用
左群超,张志辉,宋越..大数据与数智化时代:全过程全要素质量控制新范式[J].中国地质,2025,52(3):890-914,25.基金项目
中国地质调查局项目(DD20190570、DD20160052)、全国矿产资源潜力评价计划项目(2006-2013年)、老矿山深部和外围找矿计划项目(2012-2014年)、全国危机矿山接替资源找矿国家专项(2004-2010年)联合资助. Supported by the projects of China Geological Survey(No.DD20190570,No.DD20160052),National Mineral Resources Potential Evaluation Plan project(2006-2013),Deep and Peripheral Prospecting Plan for Old Mines(2012-2014),National Special Project for Prospecting Replacement Resources in Crisis Mines(2004-2010). （DD20190570、DD20160052）
