Data standards based Mine Side Data Integration Governance Platform Research and Applications

Jingfeng Qi, Po Wang, Xiangyi Feng, Chaoyuan Ma, Xingwang Su
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Abstract

INTRODUCTION: With the advent of the mining digitalization era, the rapid growth and diversity of mine-side data make mining production management more complex. In this context, it becomes crucial to build a set of mine-side data integration and governance platforms based on data standards. The establishment of this platform aims to solve the problems of mining data fragmentation and inconsistent standards and to improve the efficiency of data management and utilization.OBJECTIVES: The purpose of this study is to construct an efficient mine-side data integration and governance platform by studying and applying data standards to address the challenges of data heterogeneity and fragmentation. Through the development of unified data standards, the Author can realize the standardized management of mining data, improve data quality, and provide more reliable support for mining production.METHODS: The study adopts a comprehensive approach. First, a comprehensive understanding of the problems and needs facing mining data management was obtained through a literature review and field research. Second, data standards applicable to mine-side data are developed to ensure that all types of data can be consistently understood and processed. Next, a data integration and governance platform based on these standards is established, and advanced data mining and artificial intelligence technologies are applied to realize automatic integration and cleaning of multi-source data.RESULTS: Through experiments, this study proved that a mine-side data integration governance platform based on data standards was successfully constructed. The platform realizes efficient integration and cleaning of data and improves the consistency and quality of data. In practical application, the platform provides more accurate data support for mining production management and achieves remarkable results.CONCLUSION: This study provides strong theoretical and practical support for the research and application of mine-side data integration and governance platforms based on data standards. Through the development of data standards, an efficient data management platform has been established, which provides practical solutions for solving mining data management challenges. In the future, the performance of the platform can be further optimized, and the updating and maintenance of data standards can be strengthened to adapt to the constant changes in the digital development of the mining industry. This research has a positive impact on promoting the construction of mining industry informatization and improving the level of production management.
基于数据标准的矿山侧数据集成治理平台研究与应用
引言:随着矿业数字化时代的到来,矿侧数据的快速增长和多样性使矿业生产管理变得更加复杂。在此背景下,建立一套基于数据标准的矿山数据集成与治理平台变得至关重要。该平台的建立旨在解决矿山数据分散、标准不统一等问题,提高数据管理和利用效率:本研究的目的是通过研究和应用数据标准,构建高效的矿侧数据集成与治理平台,以解决数据异构和碎片化的难题。通过制定统一的数据标准,作者可以实现矿山数据的规范化管理,提高数据质量,为矿山生产提供更可靠的支持。首先,通过文献综述和实地调研,全面了解采矿数据管理面临的问题和需求。其次,制定适用于矿侧数据的数据标准,以确保能够一致地理解和处理所有类型的数据。结果:通过实验证明,本研究成功构建了基于数据标准的矿侧数据集成治理平台。该平台实现了数据的高效整合和清洗,提高了数据的一致性和质量。结论:本研究为基于数据标准的矿侧数据集成治理平台的研究和应用提供了有力的理论和实践支持。通过数据标准的制定,建立了高效的数据管理平台,为解决采矿数据管理难题提供了切实可行的解决方案。未来可进一步优化平台性能,加强数据标准的更新和维护,以适应矿业数字化发展的不断变化。该研究对促进矿业信息化建设、提高生产管理水平具有积极的推动作用。
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