摘要
隧道施工通风中风机的自动控制算法主要面临两个问题:(1)传感器数值定量化分析不成熟;(2)传感器安装位置研究不足。文章提出了一种三段式隧道施工通风自动控制算法,分为全速通风阶段、自动调节阶段和低速运转阶段。其中全速通风阶段由震荡波传感器检测到的爆破动作触发,至污染物峰值经过传感器网络安装位置为止。此后,系统进入自动调节阶段。本文采用神经网络模型对现场风机的调节规律进行学习,并将控制信号作用于变频器。低速运转阶段按照相关规程实现隧道环境参数的持续稳定。本系统在天目山杭黄隧道施工现场进行了测试分析,取得了较好的实验效果。
The automatic control algorithm on tunnel construction ventilator is seldom. The major problems are( 1) the quantitative analysis of the sensor's value is immature;( 2) the research of the sensor's location is underresearched. This paper proposes a kind of 3-step automatic control algorithm for tunnel construction ventilator,which includes full speed phase,automatic adjustment phase and low speed phase. The full speed step is triggered by the signal from shock wave sensor,until the peak value of the contaminant pass the location the sensor network installed.The automatic control of the ventilator was realized by an ANN( Artificial Neural Network). The low speed step keeps the environmental parameters in the tunnel safe and stable. This algorithm was tested with the construction ventilation project department in Tianmu mountainous tunnel,and a good result was obtained.
出处
《地下空间与工程学报》
CSCD
北大核心
2017年第S2期741-745,共5页
Chinese Journal of Underground Space and Engineering
基金
河南省2017年科技攻关课题(172102210024)
关键词
隧道施工通风
风机控制
三段式控制算法
神经网络
传感器网络
tunnel construction ventilation
ventilator control
3-step control algorithm
Artificial Neural Network
sensor network
