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 decisionmaking 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 decisionmaking of the support platform, recording process information synchronously and making feedback correction. 

Key words: underground utility tunnel, Internet of Things, geoinformation system(GIS), ventilation and dehumidification, intellectualization