Research on the concept connotation, development goal and key technologies of data governance for smart mine
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摘要: 煤矿数据是推动煤矿智能化技术开发、应用模式创新、市场竞争力提升的核心资源，数据治理是智慧矿山初级阶段向高级阶段发展的关键瓶颈，但目前在智慧矿山数据治理的概念内涵、发展目标和关键技术等方面尚未达成共识。针对该问题，剖析了数据治理在智慧矿山建设中的重要地位，界定了智慧矿山数据治理的概念内涵：智慧矿山数据治理是在“沉淀、复用、共享、协同”的治理理念引导下，煤炭企业内各部门连同行业和政府监管部门通力协作，制定数据标准和管理规范，重塑煤炭企业数据架构和数据传输链路，打通智慧矿山数据壁垒，保障数据质量和数据安全，构建智慧矿山技术联动和业务协同机制，实现数字驱动型决策和柔性生产的过程。从总体目标、发展策略、阶段性任务3个方面探讨了智慧矿山数据治理的发展目标，指出智慧矿山数据治理的重点是解决智慧矿山建设过程中的信息孤岛问题，实现数据共享和业务协同，使得智慧矿山真正成为促进煤炭企业价值提升的有机整体；智慧矿山数据治理需要妥善处理好局部协同与整体协同、物理集成与逻辑集成、智能业务系统与数据治理平台、集团级数据治理平台与矿级数据治理平台、本地处理与云处理等5个方面的关系。提出智慧矿山数据治理需突破数据标准构建、全局数据建模、数据汇聚、数据开发、数据管理、中台架构等6个方面的关键技术。Abstract: Data is the core resource to promote the development of intelligent coal mine technology, innovation of application mode and improvement of market competitiveness. Data governance is the key bottleneck for the development of smart mine from primary stage to advanced stage. However, at present, there is no consensus on the concept connotation, development goal and key technologies of data governance for smart mine. In order to solve the above problems, this paper analyzes the important position of data governance in the construction of smart mines, and defines the concept and connotation of data governance for smart mine. Data governance for smart mine is guided by the governance concept of 'precipitation, reuse, sharing and collaboration'. All departments within the coal enterprise work together with industry and government regulatory departments to formulate data standards and management specifications. The data structure and data transmission link of coal enterprises are reshaped to break through the data barriers of smart mines and ensure data quality and data security. The smart mine technology linkage and business collaboration mechanism are built to realize the process of digital-driven decision-making and flexible production. This paper discusses the development goal of data governance for smart mine from three aspects, including overall goal, development strategy and phased tasks. It is pointed out that the key point of data governance for smart mine is to solve the problem of information isolated island in the process of smart mine construction. Therefore, the data sharing and business collaboration are realized so as to make smart mine become an organic whole to promote the value enhancement of coal enterprises. Smart mine data governance needs to properly handle the five aspects relationships, including local coordination and overall coordination, physical integration and logical integration, intelligent business system and data governance platform, group-level data governance platform and mine-level data governance platform, and local processing and cloud processing. It is proposed that smart mine data governance needs to break through six key technologies, including data standard, global data modeling, data aggregation, data development, data management and data center architecture.
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Keywords:
- smart mine /
- data governance /
- data standard /
- data security /
- data sharing /
- data management /
- data center architecture
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