摘要
煤矿行业在数字化转型潮流中向智能化迈进,受限于生产环节繁杂、环境复杂,数据治理面临数据质量欠佳、安全风险高、人才短缺等难题。针对这些问题,文章对数据治理在煤矿智能化转型中的应用与挑战开展进一步研究。通过构建技术体系、加强数据标准化、强化生产现场及服务过程等数据的动态采集,同时采取健全管理制度、加强人才队伍建设等措施,以提高数据治理水平,推进煤矿智能化转型。研究成果对规范煤矿数据管理、提升行业智能化程度具有重要指导与借鉴意义。
The coal mining industry is moving toward intelligence in the trend of digital transformation,but due to complex production links and complex environments,data governance faces problems such as poor data quality,high safety risks,and talent shortages.In view of these problems,the paper further studies the application and challenges of data governance in the intelligent transformation of coal mines.By building a technical system,strengthening data standardization,enhancing dynamic data collection in production sites and service processes,and improving management systems and talent team building,it aims to improve data governance levels and promote the intelligent transformation of coal mines.The research results have important guiding and reference significance for standardizing coal mine data management and improving the intelligence level of the industry.
作者
张旭锋
刘燕
ZHANG Xufeng;LIU Yan(Shendong Coal Group Co.,Ltd.,Shenmu Shaanxi 719300,China)
出处
《信息与电脑》
2025年第18期83-85,共3页
Information & Computer
关键词
煤矿企业
智能化转型
数据治理
coal mining enterprises
intelligent transformation
data governance
