基于物联网和GIS的综合管廊通风除湿智能控制研究

为探究综合管廊通风除湿智能控制的实现路径，通过传感器获取廊内温度、湿度数据，利用地理信息系统（GIS）和物联网技术搭建温、湿度数据与空间位置信息一体化模型，以有效时长预测模型、进风状态参数控制器为理论基础，建立综合舱通风除湿智能控制网络。该控制网络主要由4部分构成： 1)感知平台负责感知空气状态参数、地理空间信息等数据信息； 2)传输平台用以实现数据的接入与传输； 3)支撑平台对运营中的综合舱通风除湿工况进行分析、预判和决策； 4)服务平台负责执行支撑平台决策后发出的控制指令，同步记录过程信息并进行反馈修正。

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

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.