School of Management, China University of Mining and Technology-Beijing
School of Electrical and Electronic Engineering, North China Electric Power University

目前智能化矿山建设面临数据标准不健全、多源异构数据集成难度大、共享机制有待完善等问题。建立统一的智能化矿山元数据标准，对形成多源异构数据融合共享机制具有重要意义。基于智能化矿山数据分类与编码规范，研究了智能化矿山元数据标准构建方法，明确了元数据标准构建是对数据分类与编码的延伸研究与价值挖掘。定义了元数据实体与元数据属性的内涵，设计了包含基础描述框架与扩展描述框架的智能化矿山元数据描述框架，给出了反映智能化矿山业务场景特征的基础元数据属性描述项和智能化矿山数据分类与编码规范中基础类、生产类、安全类、管理类4大主题域组的拓展元数据属性描述项，从而构成元数据标准。以生产主题域组中采煤机惯导系统的惯导传感器为例，介绍了元数据标准的构建过程。基于智能化矿山数据分类与编码规范构建元数据标准，可以解决多源异构数据的融合与共享问题，促使矿山企业更加高效地管理、分析和应用数据，提高矿山数据治理的智能化水平。

Currently, the construction of intelligent mines is facing problems such as incomplete data standards, difficulty in integrating heterogeneous data from multiple sources, and the need to improve sharing mechanisms. Establishing a unified intelligent mine metadata standard is of great significance for forming a multi-source heterogeneous data fusion and sharing mechanism. Based on the intelligent mine data classification and coding standards, the construction method of intelligent mine metadata standards is studied. It is clarified that metadata standard construction is an extended research and value mining of data classification and coding. This paper defines the connotations of metadata entities and metadata attributes. This paper designs an intelligent mine metadata description framework that includes a basic description framework and an extended description framework. This paper provides basic metadata attribute description items that reflect the features of intelligent mine business scenarios, as well as extended metadata attribute description items for the four major thematic domain groups of basic, production, safety, and management in the intelligent mine data classification and coding standards, thus forming a metadata standard. Taking the inertial sensor of the shearer inertial navigation system in the production theme domain group as an example, the construction process of metadata standards is introduced. Building metadata standards based on intelligent mine data classification and coding standards can solve the problem of fusion and sharing of multi-source heterogeneous data, promote mine enterprises to manage, analyze, and apply data more efficiently, and improve the intelligence level of mine data governance.

国家自然科学基金资助项目 (61471362)。

汪莹，祖子帅，王振华. 基于智能化矿山数据分类与编码规范的元数据标准构建方法[J]. 工矿自动化，2024，50（7）：130-135, 146.

WANG Ying, ZU Zishuai, WANG Zhenhua. A metadata standard construction method based on intelligent mine data classification and coding standards[J]. Journal of Mine Automation，2024，50（7）：130-135, 146.