基于物联网的隧道通风控制系统的研究与设计  

Research and Design of Tunnel Ventilation Control System Based on Internet of Things

作　　者：苗荣霞[1] 张洋 李洁馨 王幸 MIAO Rongxia;ZHANG Yang;LI Jiexin;WANG Xing(School of Electronic Information Engineering,Xi'an Technological University,Xi'an 710000,China)

机构地区：[1]西安工业大学电子信息工程学院,西安710000

出　　处：《微处理机》2024年第1期27-33,共7页Microprocessors

摘　　要：针对隧道通风采用的分档控制与模糊控制的各自缺点,提出一种基于LSTM交通流预测的模糊PID智能算法。利用LSTM算法预测未来的污染物趋势,按照计算出的需风量提前开启风机,改善系统的滞后性,并利用模糊PID算法对风机进行精确控制。引入物联网技术,构建“互联网+隧道通风”的控制系统,利用PLC网关将采集的数据上传至云平台,供运营商随时随地查看隧道各节点的数据并对设备进行远程调控。仿真实验数据表明,算法超调量为4%,调节时间较模糊控制缩短68.60%,并具有较强的鲁棒性。Aiming at the shortcomings of step control and fuzzy control used in tunnel ventilation,a fuzzy PID intelligent algorithm based on LSTM traffic flow prediction is proposed.The LSTM algorithm is used to predict the future pollutant trend,and the fan is turned on in advance according to the calculated air demand to improve the lag of the system,and the fuzzy PID algorithm is used to accurately control the fan.The control system of"Internet+Tunnel Ventilation"is constructed by introducing the Internet of Things technology,and the collected data is uploaded to the cloud platform by using PLC gateway,so that operators can check the data of each node of the tunnel anytime and anywhere and remotely control the equipment.The simulation data show that the overshoot of the algorithm is 4%,the adjustment time is 68.60%shorter than that of fuzzy control,and it has strong robustness.

关 键 词：LSTM交通流预测 模糊PID 物联网 PLC网关 云平台 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]