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基于空间数据和专家知识驱动的地质编图技术研究与应用
引用本文:王杨刚,郝丽荣,黄辉,李玉嵩,张大可,张庆合,李丽,张琳,蒋作瑞.基于空间数据和专家知识驱动的地质编图技术研究与应用[J].地质通报,2019,38(12):2067-2076.
作者姓名:王杨刚  郝丽荣  黄辉  李玉嵩  张大可  张庆合  李丽  张琳  蒋作瑞
作者单位:中国地质调查局发展研究中心, 北京 100037,中国地质调查局发展研究中心, 北京 100037,原武警黄金地质研究所, 河北 廊坊 065000,河南地矿局第二地质环境调查院, 河南 郑州 45000,河北区域地质矿产调查院, 河北 廊坊 065000,中石化石油勘探研究院, 北京 100083,河南地矿局第二地质环境调查院, 河南 郑州 45000,河北区域地质矿产调查院, 河北 廊坊 065000,北京创时空科技有限公司, 北京 100083
基金项目:中国地质调查局项目《基础地质图更新与数据库研发》(编号:12120114001302)、《国家地质数据库建设与整合》(编号:DD20160351)、《地质矿产调查数据集成与处理应用》(编号:DD20190429)、《基础地质学科(岩石)数据库建设与共享应用(中国地质调查局发展研究中心)》(编号:DD20190686)
摘    要:地质图编制专业性强、工作量大,编图环节繁琐,而人工智能、大数据等新一代信息技术的快速发展,为中国地质图的编图技术发展提供了支撑。在地质大数据环境下,提出基于地质知识驱动的地质编图技术,通过构建地质编图时空综合模型和地质代号智能识别模型,可以对多图幅的沉积岩、侵入岩、火山岩、变质岩、构造等地质要素进行人机交互式、自动化、智能化地图元综合、断层简化、线形圆滑、图幅接边等。近年来,基于该技术在青海东部地区、河南洛阳、郑州地区及京津冀多地区开展的编图实践表明,该编图技术能够显著提高地质编图工作效率,具有实际应用意义。

关 键 词:地质图  编图技术  时空模型  地质知识  地质综合  智能标注
收稿时间:2019/4/10 0:00:00
修稿时间:2019/7/16 0:00:00

Research on geological map compilation technology based on spatial data and geological knowledge
WANG Yanggang,HAO Lirong,HUANG Hui,LI Yusong,ZHANG Dake,ZHANG Qinghe,LI Li,ZHANG Lin and JIHANG Zuorui.Research on geological map compilation technology based on spatial data and geological knowledge[J].Geologcal Bulletin OF China,2019,38(12):2067-2076.
Authors:WANG Yanggang  HAO Lirong  HUANG Hui  LI Yusong  ZHANG Dake  ZHANG Qinghe  LI Li  ZHANG Lin and JIHANG Zuorui
Institution:Development Research Center, China Geological Survey, Beijing 100037, China,Development Research Center, China Geological Survey, Beijing 100037, China,Former Research Institute of Gold Geology, Langfang 065000, Hebei, China,Institute of Environmental Geological Survey of Henan, Zhengzhou 450000, He''nan, China,Institute of Regional Geological and Mineral Survey of Hebei, Langfang 065000, Hebei, China,Institute of Oil Exploration, Sinopec, Beijing 100083, China,Institute of Environmental Geological Survey of Henan, Zhengzhou 450000, He''nan, China,Institute of Regional Geological and Mineral Survey of Hebei, Langfang 065000, Hebei, China and Beijing Chuangshikong Technology Co., Ltd., Beijing 100083, China
Abstract:In order to improve the efficiency of specific compilation of geological map and reduce human workload, it is necessary to develop a new method to update the previous geological maps compiled decades ago. After studying the information technology such as AI & BigData, the authors constructed the spatial-temporal model of generalization and the intelligent model of the geological annotation. Then a new technology was developed with which small scale geological maps can be converted to general scale geological maps in a big data environment through compilation. The technology for mapping is called iMapower. Practically, the geological features, such as sedimentary rocks, intrusive rocks, volcanic rocks, metamorphic rocks and structures, can be processed intelligently, interactively, automatically with iMapower based on geological knowledge. The processing procedures include geological body merging, geoline simplification, fault generalization, feature representation, legends illustration, etc. In its application to several pilot areas such as eastern Qinghai Province, Luoyang area, Zhengzhou area and Jingjinji area, the efficiency is obviously improved. The iMapower is proved to be scientific and effective.
Keywords:geological map  compiling technology  spatial-temporal model  geological knowledge  geological generalization  intelligent annotation
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