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Development of advising system for exploration of geology and mineral resources using artificial intelligence technique.

利用人工智能技术开发地质矿产勘查咨询系统。

基本信息

批准号：
02559007
负责人：
KOYAMA Masato
金额：
$ 4.1万
依托单位：
Shizuoka University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Developmental Scientific Research (B)
财政年份：
1990
资助国家：
日本
起止时间：
1990 至 1992
项目状态：
已结题

项目摘要

This study aims to design a small, computer-aided system which helps to estimate formative processes of a geological terrane and its bearing mineral resources through field geological and experimental data, and to evaluate the possibility for more general and practical use. For this purpose, we made three approaches : (1) making and evaluating a rule-based system which consults on a small, practical problem if field geology (bottom-up approach) ; (2) designing a system which treats a general problem in estimating formative processes of geological terrane and its bearing mineral resources(top-down approach) : (3) making a bottom-ended tool for inputting and analyzing observational data. As for approach (1), we made a rule-based expert system, which helps a user to estimate a mode of emplacement of volcaniclastic rocks. For developing this, we used an expert shell Intelligent developer (Hyperpress Publishing Corp.) and completed a system Volcaniclast, which can at least be used in education of field volcanology for undergraduate students. Concerning approach (2), we systematically reorganized available knowledge of formative processes of a geological terrane and its bearing uranium resources and designed a frame-structured knowledge-based system. We also incorporated knowledge of a real uranium mine into the system and clarified the validity and problems of the system. In approach (3), we constructed a system which can read digital data of geomorphology using a digitizer and analyze surface area, volume, and slope. Through all these approaches, we accumulated significant know-how for developing a large system which reast general purposes in exploring geology and mineral resources.

本研究旨在设计一个小型计算机辅助系统，通过现场地质和实验数据帮助估计地质地体及其承载矿产资源的形成过程，并评估更普遍和实际使用的可能性。为此，我们采取了三种方法：（1）建立和评估一个基于规则的系统，该系统咨询现场地质学的一个小实际问题（自下而上的方法）； (2) 设计一个系统，处理估算地质地体及其蕴藏矿产资源形成过程的一般问题（自上而下的方法）： (3) 制作一个用于输入和分析观测数据的底端工具。对于方法（1），我们制作了一个基于规则的专家系统，它可以帮助用户估计火山碎屑岩的侵位模式。为了开发这个，我们使用了专家shell智能开发人员（Hyperpress Publishing Corp.）并完成了一个系统Volcaniclast，该系统至少可以用于本科生的野外火山学教育。对于方法（2），我们系统地重组了地质地体及其蕴藏铀资源形成过程的现有知识，设计了一个框架结构的知识系统。我们还将真实铀矿的知识融入到系统中，并阐明了系统的有效性和问题。在方法（3）中，我们构建了一个可以使用数字化仪读取地貌数字数据并分析表面积、体积和坡度的系统。通过所有这些方法，我们积累了重要的专业知识，用于开发一个可用于勘探地质和矿产资源的通用目的的大型系统。