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Analysis of coal mine safety monitoring data based on Column-oriented Database

机译:基于列式数据库的煤矿安全监控数据分析

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It is an important means improve coal mine safety using the vast amount of coal mine safety monitoring data for safe prediction. However, The traditional line-oriented database appear restrictive when facing the vast amount of data and complex queries. The column store database become the best choice for building data warehouse and data analysis with its unique features. Through combining main factors influencing the safety of coal mine, this article analyzes storage structure in the database and explores the possibility of line database simulation column database. At last, it make gas discharge analysis through auto regressive model.
机译:利用大量的煤矿安全监测数据进行安全预测,是提高煤矿安全的重要手段。但是,当面对大量数据和复杂查询时,传统的面向行的数据库似乎具有局限性。列存储数据库以其独特的功能成为构建数据仓库和数据分析的最佳选择。通过综合影响煤矿安全的主要因素,分析了数据库中的存储结构,并探讨了在线数据库模拟列数据库的可能性。最后,通过自回归模型进行气体排放分析。

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