智能化矿山数据治理实践与策略研究  

Research on the Practice and Strategy of Intelligent Mine Data Governance

作　　者：慕鹏勇 陈运启 贾焱森 杨飞雄 呼云 MU Pengyong;CHEN Yunqi;JIA Yansen;YANG Feixiong;HU Yun(Sinopower Inner Mongolia Energy Co.,Ltd.,Ordos,Inner Mongolia 017209,China;Chongqing Research Institute Co.,Ltd.,China Coal Technology Engineering Group,Chongqing 400039,China)

机构地区：[1]国电建投内蒙古能源有限公司,内蒙古鄂尔多斯017209 [2]中煤科工集团重庆研究院有限公司,重庆400039

出　　处：《自动化应用》2024年第15期269-271,共3页Automation Application

基　　金：中煤科工集团重庆研究院有限公司重点研发项目(2023ZDYF006)。

摘　　要：针对煤炭行业在推进智能化矿山建设中面临的许多数据治理挑战,如数据标准不统一、多源异构数据融合难、数据质量控制不足及标准更新滞后等,提出了一套智能化矿山数据治理策略与实践方案。通过分析现状,明确了构建统一、协调、高效数据标准体系的重要性,旨在提升数据质量,加速数据流通与价值挖掘,支撑煤炭行业的数字化转型。设计了涵盖数据来源唯一性、数据结构规范性以及数据属性标准化的数据标准体系,并通过EIP模型的应用,实现了数据对象模型库的统一,解决了系统间数据共享与联动的难题。此外,方案还涉及数据融合处理机制,通过标准化接口和数据服务总线,有效整合了多源异构数据,实现了数据的分层分类管理,提升了数据处理的时效性和效率,为智能化矿山的数据治理提供了实践指导与策略框架,有助于煤矿实现安全、高效的生产运营。This paper addresses the myriad challenges confronted by the coal industry in advancing the construction of intelligent mines,including inconsistent data standards,difficulties in integrating multi-source heterogeneous data,inadequate control over data quality,and lagging standard updates.It proposes a set of strategies and practical solutions for data governance in intelligent mines based on the EIP(Enterprise information portal)model.Through an analysis of the current situation,the study underscores the importance of establishing a unified,coordinated,and efficient data standards system aimed at enhancing data quality,accelerating data flow,and facilitating value extraction to support the digital transformation of the coal industry.A data standards framework is designed,encompassing uniqueness of data sources,structural standardization of data,and standardization of data attributes.The application of the EIP model achieves a unified data object model repository,overcoming the hurdle of data sharing and inter-system collaboration.Moreover,the proposed scheme incorporates a mechanism for data fusion,leveraging standardized interfaces and a data service bus to effectively integrate multi-source,heterogeneous data.This enables hierarchical and categorized management of data,thereby enhancing the timeliness and efficiency of data processing.This research offers practical guidance and a strategic framework for data governance in intelligent mines,facilitating safe and efficient mining operations.

关 键 词：智能化矿山 数据治理 EIP模型 数据标准 多源异构数据融合 

分 类 号：F426[经济管理—产业经济]