| 张志辉,左群超.基于模型驱动和自动演进理论的矿集区找矿预测数据模型应用软件开发[J].矿产勘查,2024,15(8):1478-1490 |
| 基于模型驱动和自动演进理论的矿集区找矿预测数据模型应用软件开发 |
| Development of application softwares for data models for prospecting prediction in mineralization focused area based on model-driven and automatic evolution software theory |
| 投稿时间：2024-05-15 修订日期：2024-07-12 |
| DOI：10.20008/j.kckc.202408012 |
| 中文关键词: 矿集区找矿预测 大数据模型 软件体系 理论找矿模式 |
| 英文关键词: prospecting prediction of mineralization focused area big data model software systems theoretical prospecting model |
| 基金项目:本文受中国地质调查局矿产调查及深部找矿预测二级项目（DD20190570）、重要矿山深部找矿预测与勘查示范（DD20230355）、重点勘查区资源潜力评价与勘查示范（DD20230356）、全国重要矿集区找矿预测二级项目（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。 |
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| 中文摘要: |
| 本文旨在构建一个系统而全面支持矿集区找矿预测数据模型应用的软件体系架构。采用模型驱动和自动演进的软件研发理论，服务和支持矿集区找矿预测数据模型应用。研发工作主要集中在3类核心应用软件的研发：数据模型管理类软件、数据模型使用类软件和数据质量控制类软件，推出这些软件将有效地管理数据模型，提高矿集区找矿效率，并确保数据质量可靠性和准确性。提出了一个包含9个层次且完备的支持软件体系架构，全面覆盖数据模型从需求、设计到实际应用和用户层面各个环节。通过构建和研发支持矿集区找矿预测数据模型应用的软件体系架构及一套核心应用软件，成功为矿集区找矿预测提供了有效信息技术支持。这项工作不仅提高了找矿预测理论方法研究层次，还显著提升了软件技术应用水平，并可推广使用，具有重要的找矿指导意义。 |
| 英文摘要: |
| This paper aims to establish a software architecture that systematically and comprehensively supports the implementation of prospecting prediction data models in mineralization focused area. The software development approach of model-driven and automatic evolution is employed to facilitate the application of prospecting prediction data models in mineralization focused area. Research and development efforts are primarily focused on creating three core application software types： data model management software， data model usage software， and data quality control software. The utilization of these software tools will aid in the efficient management of data models， enhancing the effectiveness of prospecting activities in mineralization focused area， and ensuring the reliability and accuracy of data quality. A detailed nine-level supporting software architecture is proposed， encompassing all stages of the data model lifecycle from requirements and design to practical application and user interaction. Through the development of a software architecture and essential application software supporting the application of prospecting prediction data models in mineralization focused area， effective information technology support has been successfully provided for prospecting predictions in mineralization focused area. |
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