基于STM32的铁路运输站内NB-IoT可视化云BAS系统设计
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沈阳工学院

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辽宁省自然科学基金指导计划项目(2019-ZD-0342)


Design of NB-IoT visual cloud? BAS system in railway transportation station based on stm32 Based on STM32
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    摘要:

    BAS系统(机电设备监控系统)主要完成车站内的机电设备如空调机组、新风换气机、送/排风机、风幕机、潜污泵、电/扶梯、风冷热泵等设备的自动监视、控制和管理。为了更好地优化BAS系统的可视化界面设计、提高监控质量,以达到节能、安全、提高管理水平的目的,本设计将NB-IoT技术、 Oceanconnect云平台设计及嵌入式技术综合融入到BAS系统中,实现远程监管各个站内数据并实时控制各站内设备以应对突发情况。本系统采用STM32作为微控制器,设计温湿度及光照总控中心和调控节点电路,总控中心通过NB-IoT无线通信模块组网与各安装在站内的多个调控节点进行指令下发和数据上报的双工通信,将通过各节点的温湿度及光照传感器采集到的数据经STM32单片机处理后,通过NB-IoT无线通信模块上传至根据实际要求设计的Oceanconnect云模型中,实现总控制中心及节点电路的云端数据可视化及数据分析,同时还可以由上位机云端模块直接控制各站内下位机的空调机组,换气机污水泵等设备,以实现实时的监管与控制各站内现场环境。经过实验测试结果表明,系统可视化界面清晰简洁易操作且性能稳定可靠,能够实现实时数据的通信分析与控制,提高车站内现场控制的有效性,能够对突发情况进行快速自动处理。

    Abstract:

    BAS system (electromechanical equipment monitoring system) mainly completes the automatic monitoring, control and management of electromechanical equipment in the station, such as air conditioning unit, fresh air ventilator, supply / exhaust fan, air curtain machine, submersible sewage pump, elevator / escalator, air-cooled heat pump and other equipment. In order to better optimize the visual interface design of BAS system and improve the monitoring quality, so as to achieve the purpose of energy saving, safety and improving the management level, Nb IOT technology, oceanconnect cloud platform design and embedded technology are integrated into BAS system to realize remote supervision of data in each station and real-time control of equipment in each station to deal with emergencies. The system uses STM32 as the microcontroller to design the temperature, humidity and light control center and control node circuit. The general control center carries out duplex communication of command distribution and data reporting with multiple control nodes installed in the station through NB IOT wireless communication module networking. After the data collected through the temperature, humidity and light sensors of each node are processed by STM32 single chip microcomputer, The Nb IOT wireless communication module is uploaded to the oceanconnect cloud model designed according to the actual requirements to realize the cloud data visualization and data analysis of the general control center and node circuits. At the same time, the upper computer cloud module can directly control the air conditioning unit, ventilator, sewage pump and other equipment of the lower computers in each station, so as to realize real-time supervision and control of the site environment in each station. The experimental results show that the visual interface of the system is clear, concise, easy to operate, stable and reliable, can realize the communication analysis and control of real-time data, improve the effectiveness of field control in the station, and can quickly and automatically deal with emergencies.

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贾婷,安璐,廖明,刘莹.基于STM32的铁路运输站内NB-IoT可视化云BAS系统设计计算机测量与控制[J].,2022,30(4):209-215.

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  • 收稿日期:2022-01-18
  • 最后修改日期:2022-02-15
  • 录用日期:2022-02-16
  • 在线发布日期: 2022-04-21
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