基于云平台的选煤厂环境监测系统

Environmental monitoring system of coal preparation plant based on cloud platform

  • 摘要: 选煤厂环境复杂、监测面积大、监测点数量多且分散,环境参数的人工定点定时采样方式实时性差、数据准确率低,有线监测系统部署不便、成本高、线路易损坏,基于NB-IoT与LoRa技术的无线监测系统网络覆盖不足。针对上述问题,采用ZigBee无线传输技术,设计了基于云平台的选煤厂环境监测系统,介绍了系统架构、监测节点(终端节点、路由节点、网关节点)的软硬件设计及云端数据管理软件设计方案。该系统通过终端节点对选煤厂环境参数进行实时采集与处理,由路由节点汇总监测数据并转发至网关节点,网关节点对数据进行封装处理后,通过以太网上传至云平台服务器,由云端数据管理软件实现数据存储、分析与展示。测试结果表明,该系统运行稳定,数据传输准确,可实现选煤厂环境参数实时监测与告警、历史数据查询等功能。

     

    Abstract: The coal preparation plant has a complex environment, a large monitoring area, a large number of monitoring points, and the points are scattered. The manual fixed-point timing sampling method of environmental parameters has poor real-time performance and low data accuracy. The wired monitoring system is inconvenient deployed, has high costs and easily damaged lines. The wireless monitoring system based on NB-IoT and LoRa technology has insufficient network coverage. In order to solve the above problems, an environmental monitoring system of coal preparation plant based on cloud platform is designed using ZigBee wireless transmission technology. The system architecture, hardware and software design of monitoring nodes (terminal nodes, routing nodes, gateway nodes) and cloud-based data management software design scheme are introduced. The system collects and processes the environmental parameters of the coal preparation plant in real time through the terminal nodes. The routing nodes summarize the monitoring data and forward them to the gateway nodes. Then the gateway nodes encapsulate the data and upload them to the cloud platform server via Ethernet. And the cloud data management software realizes data storage, analysis and display. The test results show that the system is stable in operation, accurate in data transmission, and can realize the functions of real-time monitoring and warning of environmental parameters and historical data query of coal preparation plant.

     

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