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地质约束条件下的地质体智能综合方法研究
引用本文:徐可, 王永志, 陈圆圆, 陈堂雷, 蒋作瑞. 2021. 地质约束条件下的地质体智能综合方法研究. 地质力学学报, 27(3): 365-373. doi: 10.12090/j.issn.1006-6616.2021.27.03.033
作者姓名:徐可  王永志  陈圆圆  陈堂雷  蒋作瑞
作者单位:1.吉林大学地球探测科学与技术学院, 吉林 长春 130061;; 2.吉林大学综合信息矿产预测研究所, 吉林 长春 130061;; 3.河北省区域地质调查院, 河北 廊坊 065000;; 4.北京创时空科技发展有限公司, 北京 100083
基金项目:国家重点研发计划(2017YFC0602203);中国地质调查局地质调查项目(DD20190415)
摘    要:地质体综合是地质图编制工作的重中之重,因其处理涉及内容多、业务逻辑复杂、重复工作量大,是影响编图工作推进的主要因素。为了能够实现地质体的高效综合,文章提出了一种以地质约束条件(专家知识)为核心、以制图综合为空间图形合并手段的新型地质体智能综合方法,设计并实现了围绕地质专家知识(如地质年代、地层名称等)规则映射开展的三种地质体综合方法(同属性合并、交互式选择合并、绘图合并)。使用北山地区地质图数据对地质体综合模块进行测试,经反复对比实验,证实了该方法不仅能够快速实现地质体空间图形的"一键式"合并,还可以自动完成地质知识的映射与赋值,综合结果符合地质规律。该方法为反映地质空间分布前提下对图件中地质体或其他面图元的精简提供了一种有效的自动化工具。

关 键 词:地质体综合   地质知识   人工智能   制图综合
收稿时间:2021-01-06
修稿时间:2021-03-25

A geology-constrained new intelligence method of synthesizing geologic bodies
XU Ke, WANG Yongzhi, CHEN Yuanyuan, CHEN Tanglei, JIANG Zuorui. 2021. A geology-constrained new intelligence method of synthesizing geologic bodies. Journal of Geomechanics, 27(3): 365-373. doi: 10.12090/j.issn.1006-6616.2021.27.03.033
Authors:XU Ke  WANG Yongzhi  CHEN Yuanyuan  CHEN Tanglei  JIANG Zuorui
Affiliation:1.College of Geo-exploration Science & Technology, Jilin University, Changchun 130061, Jilin, China;; 2.Institute of Integrated Information for Mineral Resources Prediction, Jilin University, Changchun 130061, Jilin, China;; 3.Hebei Regional Geological Survey Institute, Langfang 065000, Hebei, China;; 4.Beijing Space-Time Technique Development Limited Company, Beijing 100083, China
Abstract:Due to its massive content, complex processing logic and heavy repeated workload, geologic body synthesis, as the key task in the geological map compilation, is the primary factor affecting the process. Therefore, our study aims to realize the high-efficiency synthesis of geologic bodies. This paper presents a new intelligence method of synthesizing geologic bodies, which takes geological constraints (expert knowledge) as the core and cartographic generalization as the means to merge spatial graphs. Also three ways of synthesizing geologic bodies were designed (merging geologic bodies with the same properties, merging interactively selected geologic bodies, merging geologic bodies into drawn bigger polygons) based on regular mapping of geological expert knowledge such as geological age, stratigraphic name. By using the geological map data in the Beishan area to test the geologic body merging module, and through repeated comparative experiments, it is proved that this intelligence method can not only rapidly realize the "one-click" synthesis of the spatial graphs of geologic bodies, but also complete the automatic mapping and assignment of geological knowledge. The comprehensive results accord with the geological rule. This method provides an effective automatic tool for simplifying geologic bodies or other surface elements to reflect the spatial distribution in a geological map.
Keywords:geologic body synthesis  geological knowledge  artificial intelligence  cartography generalization
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