ISSN 2096-4498

   CN 44-1745/U

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Intelligent Control of Ventilation and Dehumidification of Utility Tunnel Based on Internet of Things and GIS

  • SHI Youzhi ,
  • HONG Jiaoli ,
  • LIN Shuzhi ,
  • XU Jianning
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  • (1. School of Civil Engineering & Architecture, Xiamen University of Technology, Xiamen 361024, Fujian, China; 2. School of Architecture and Civil Engineering, Xiamen University, Xiamen 361005, Fujian, China; 3. Xiamen Construction Bureau, Xiamen 361003, Fujian, China; 4. Xiamen Construction Engineering Co., Ltd. of China Railway First Group, Xiamen 361000, Fujian, China)

Online published: 2020-09-03

Abstract

In order to intelligently control the ventilation and dehumidification of utility tunnel, the humidity and temperature data in the tunnel are measured by sensors, and a integrated model of temperature, humidity data and spatial position information is built by using geoinformation system (GIS) technology and the Internet of Things technology. And then the intelligent control network of ventilation and dehumidification in the integrated chamber is built based on the theory of effective time prediction model and air inlet state parameter controller. The research shows that the control network is mainly composed of four parts as follows: (1) the sensing platform is responsible for sensing air state parameters, geospatial information and other data information; (2) the transmission platform is used to achieve data access and transmission; (3) the support platform makes analysis, prediction and decisionmaking on the ventilation and dehumidification conditions of the integrated chamber in operation; (4) the service platform is responsible for executing the control instructions issued after the decisionmaking of the support platform, recording process information synchronously and making feedback correction. 

Cite this article

SHI Youzhi , HONG Jiaoli , LIN Shuzhi , XU Jianning . Intelligent Control of Ventilation and Dehumidification of Utility Tunnel Based on Internet of Things and GIS[J]. Tunnel Construction, 2020 , 40(8) : 1133 -1139 . DOI: 10.3973/j.issn.2096-4498.2020.08.004

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