摘要
智能化煤矿数据治理是实现煤矿智能化建设高阶段发展目标的关键瓶颈,对于确保数据运营合规、保障数据质量、防控数据风险、提升数据价值具有重要意义,但目前缺乏完善的方法论体系指导智能化煤矿数据治理的理论研究和技术实践。针对该问题,从数据治理要素、治理机制、治理层次和治理过程4个维度构建智能化煤矿数据治理要素-机制-层次-过程参考模型,提供多维度融合的方法论视角和理论分析逻辑,达成对关键问题的认识。分析得出复杂系统理论、数据战略管理理论、协同创新理论、数字连续性理论、公共治理理论、信息生命周期理论、PDCA循环理论是智能化煤矿数据治理重要的理论基础。在智能化煤矿数据治理参考模型的指导下,基于相关理论基础,构建包括数据治理环境、驱动与保障因素、顶层设计、数据治理域、数据治理过程与能力5大组成部分的智能化煤矿数据治理体系框架。对标智能化煤矿数据治理体系框架,得出智能化煤矿数据治理尚需进一步突破数据价值运动规律揭示、元数据与数据字典构建、数据质量和数据安全体系管理规则设计、复杂巨系统数据耦合模型开发和数字智慧发生规律建模等5个方面的关键问题。
Intelligent coal mine data governance is the key bottleneck to achieving the high-level development goal of coal mine intelligent construction.It is of great significance to ensure data operation compliance,ensure data quality,prevent and control data risks,and improve data value.However,there is a lack of perfect methodology to guide the theoretical research and technical practice of intelligent coal mine data governance.In order to solve this problem,an intelligent coal mine data governance element-mechanismhierarchy-process reference model is constructed from four dimensions of data governance elements,governance mechanism,governance hierarchy and governance process.It provides a multi-dimensional fusion methodology perspective and theoretical analysis logic to achieve an understanding of key issues.It is concluded that complex system theory,data strategic management theory,collaborative innovation theory,digital continuity theory,public governance theory,information life cycle theory,and PDCA cycle theory are the important theoretical basis of intelligent coal mine data governance.Under the guidance of the reference model of intelligent coal mine data governance,and based on the relevant theoretical basis,an intelligent coal mine data governance system framework is constructed.It includes five major components:data governance environment,driving and supporting factors,top-level design,data governance domain,and data governance process and capability.Benchmarking the framework of intelligent coal mine data governance system,it is concluded that intelligent coal mine data governance still needs to further break through the five key issues.The issues are data value movement law disclosure,metadata and data dictionary construction,data quality and data security system management rule design,complex giant system data coupling model development and digital intelligence generation law modeling.
作者
谭章禄
王美君
叶紫涵
TAN Zhanglu;WANG Meijun;YE Zihan(School of Management,China University of Mining and Technology-Beijing,Beijing 100083,China)
出处
《工矿自动化》
CSCD
北大核心
2023年第5期22-29,共8页
Journal Of Mine Automation
基金
国家自然科学基金项目(61471362)。
关键词
智能化煤矿
数据治理
数据管理
数据价值
数据质量
数据安全
数据标准
intelligent coal mine
data governance
data management
data value
data quality
data security
data standard
