Research and practice of intelligent mine data quality management
As an important productivity of mining enterprises,Data is the foundation of digital and intelligent coal mine construction and has quickly integrated into various aspects of coal mine production,transportation and safety inspection.Starting from the perspective of mining business scenarios and combining with the characteristics of coal mine data,this paper elaborates on the definition,dimensions and concepts of quantitative management of data quality,introduces intelligent mining data quality management strategies and technologies from three aspects:pre-prevention,in-process control,and post-remediation,so as to achieve full-process control of data quality.Guided by theory,this study applies relevant theories to the specific business and production processes of intelligent mines,elaborates on various aspects such as top-level design,organizational support,process control,and result evaluation,and provides typical cases of data quality management in intelligent mines.
NETL
NSTL
万方数据
