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

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.

Keywords

• revolving door algorithm
• safety monitoring system
• data compression
• data storage
• data analysis performance optimization