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作 者:孙洪保 王荣昌 姚树义 SUN Hongbao;WANG Rongchang;YAO Shuyi(Huadian Laizhou Power Generation Co.,Ltd.,Yantai 261400,China)
出 处:《电子设计工程》2025年第3期92-96,101,共6页Electronic Design Engineering
基 金:中国华电科技项目(CHDKJ22-04-132)。
摘 要:为了满足电厂智能安防自动化监测的需求,研究物联网技术下电厂智能安防自动化监测与控制系统。利用多种类型的传感器采集电厂安防相关数据和改进D-S证据理论,实现多传感器数据融合,将数据存储至SDRAM中;经ZigBee无线网络将融合后电厂安防相关数据传输到控制模块,通过对比采集数据和单片机内部阈值,控制电厂照明设备;电厂管理员通过手机可远程设置电厂安防项目和电厂安防监测的时间,实现电厂环境监测设备联动和24小时实时同步监测。实验结果证明,该系统有效监测和控制电厂输煤皮带产生的烟雾,最大监测距离和最大监测面积均较大,其抗干扰能力比较强,可有效地提升电厂智能安防自动化监测与控制水平。In order to meet the demand for intelligent security automation monitoring in power plants,research is being conducted on the intelligent security automation monitoring and control system of power plants under the Internet of Things technology.Utilizing various types of sensors to collect power plant security related data and improving D-S evidence theory to achieve multi-sensor data fusion and store the data in SDRAM.The integrated power plant security related data is transmitted to the control module through ZigBee wireless network,and the power plant lighting equipment is controlled by comparing the collected data with the internal threshold of the microcontroller.The power plant administrator can remotely set the time for power plant security projects and power plant security monitoring through their mobile phone,realizing the linkage of power plant environmental monitoring equipment and 24-hour real-time synchronous monitoring.The experimental results demonstrate that the system effectively monitors and controls the smoke generated by the coal conveyor belt in power plants.The maximum monitoring distance and maximum monitoring area are both large,and its anti-interference ability is relatively strong,effectively improving the level of intelligent security automation monitoring and control in power plants.
关 键 词:物联网技术 电厂智能安防 自动化监测 控制系统 安防控制 数据采集
分 类 号:TM76[电气工程—电力系统及自动化]
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