基于旋转门算法的数据压缩在煤矿安全监控系统中的应用

    Application of Data Compression Based on Revolving Door Algorithms in Coal Mine Safety Monitoring System

    • 摘要: 为了提高煤矿安全监控系统的数据存储、分析性能,运用旋转门算法建立适合煤矿安全监控的数据压缩数据模型,运用于煤矿安全监控系统的数据采集处理;通过对数据进行采集、压缩、统计,清洗掉冗余数据,针对关键点数据进行高效存储,保证系统的稳定性,并在全国多个煤矿企业得到应用及实践。

       

      Abstract: To improve the data storage and analysis performance of coal mine safety monitoring system, a data compression data model suitable for coal mine safety monitoring system is established by using revolving door algorithm, which is applied to data acquisition and processing of coal mine safety monitoring system. Through data acquisition, compression and statistics, cleaning redundant data, aiming at key points, the data is stored efficiently to ensure the stability of the system, and has been applied and practiced in many coal mining enterprises throughout the country.

       

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