CHEN Qing. Design of networking platform for coal mine safety monitoring system based on localizatio[J]. Journal of Mine Automation, 2021, 47(8): 115-120. DOI: 10.13272/j.issn.1671-251x.2021030093
Citation: CHEN Qing. Design of networking platform for coal mine safety monitoring system based on localizatio[J]. Journal of Mine Automation, 2021, 47(8): 115-120. DOI: 10.13272/j.issn.1671-251x.2021030093

Design of networking platform for coal mine safety monitoring system based on localizatio

  • The existing coal mine safety monitoring system networking platforms are mainly based on the software and hardware equipment of foreign companies. Therefore, the proposed platform is domestically adapted to respond to the call of the strategic goal of independent and controllable national information security. A networking platform for coal mine safety monitoring system based on domestic chips, domestic operating system, domestic database and domestic middleware is designed. The software and hardware of the platform are adapted to the domestic software and hardware environment, and the platform is equipped with a small number of open source frameworks in the Java ecosystem. Both the server and the terminal CPU adopt Feiteng processors, the printer adopts Lanxum printer. The server operating system adopts Galaxy Kylin, and the terminal operating system adopts Union Tech. The database adopts the open source memory database Redis, the domestic relational database Dameng and the open source columnar storage database HBase. The middleware adopts TongLINK/Q and TongWeb from Tong Tech. The office suite adopts Kingsoft WPS, and the browser adopts Firefox. The memory database Redis is used to build real-time data cache region to achieve efficient access to hot data. Based on the performance index of Dameng database, the storage structure is designed through database table partitioning and other modes. Based on columnar storage database Hbase, a historical data storage system is designed to realize retrospective analysis of historical data. The field test results show that the data transmission delay of the platform is less than 10 s, the real-time data query time is in the range of 240-300 ms, and the platform supports the second-level backtracking of historical sampling data. These characteristics can meet the application requirements of localization of coal mine supervision and monitoring.
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