为推进智能控制技术在隧道施工通风领域的应用,提出一种简捷的施工隧道智能通风控制系统,主要包括控制主机、工作面环境参数识别模块和执行器控制管理模块。系统基于一种改进的增广ZNPID算法(AZNPID),通过对超标污染物浓度进行归一化处理,实现了隧道通风的多参数控制。在某施工隧道进行为期2个月的实际应用中,研究结果显示,该系统能够根据掌子面污染物浓度精准地调节风机运行频率。与传统方法相比,智能通风系统可降低约31%的电力消耗,具有良好的节能潜力。同时,提出了基于实测数据和历史数据的全工序通风控制方法。通过分析各工序特征和风量需求,可以实现施工工序与时段的实时判定,为实现全工序智能化通风控制提供了新思路。本研究提出的智能通风控制系统与方法有助于推进施工隧道通风的科学管理,为隧道通风智能化推广应用提供了有价值的参考。
罗占夫, 王继红, 孙毅, 商家旭, 王树刚, 蒋爽, 王栋, 吴元金, 刘祺君
. 智能通风系统在某施工隧道中的应用实践[J]. 隧道建设, 2023
, 43(S2)
: 477
-484
.
DOI: 10.3973/j.issn.2096-4498.2023.S2.052
To promote the application of intelligent control
technology in the field of tunnel construction ventilation, a streamlined
intelligent ventilation control system for construction tunnels is proposed.
This system mainly consists of three components: a monitoring host module, a
working face environment recognition module, and an actuator control module. Based
on an enhanced augmented ZNPID algorithm, the system achieves multiparameter
control of tunnel ventilation by normalizing pollutant concentrations. The
study results reveal that the intelligent ventilation system efficiently
adjusts the fan frequency according to the pollutant concentration at the
working face during a twomonth field test in a
construction tunnel. In comparison to traditional methods, the system manages
to reduce power consumption by approximately 31%, indicating a significant
potential for energy savings. Furthermore, a comprehensive processbased ventilation control method based on realtime measurements and historical data is proposed. By analyzing the
unique characteristics of each construction process and the air volume requirements,
realtime assessments of the procedure of construction
are achieved. This provides a novel approach to achieving comprehensive processbased intelligent ventilation control. The proposed intelligent
ventilation control system and methodology contribute to advancing the
scientific management of ventilation in construction tunnels, providing
valuable insights for the intelligent application of tunnel ventilation.