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现代隧道技术 2022, Vol. 59 Issue (1) :156-163    DOI:
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基于BB-MOPSO的综合管廊进风状态参数控制研究
(1.厦门理工学院土木工程与建筑学院,厦门 361024;2.厦门大学建筑与土木工程学院,厦门 361005; 3.厦门市交通运输局,厦门 361001;4.中铁一局集团厦门建设工程有限公司,厦门 361000)
Study on State Parameter Control of Intake Air in Utility Tunnels Based on BB-MOPSO
(1. School of Civil Engineering and Architecture, Xiamen University of technology, Xiamen 361024; 2. School of Architecture and Civil Engineering, Xiamen University, Xiamen 361005; 3. Xiamen Transportation Bureau, Xiamen 361001; 4. China Railway First Bureau Group Xiamen Construction Engineering Co., Ltd., Xiamen 361000)
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摘要 为探究外界新风湿度过大时控制综合管廊进风状态的方法,文章以平潭综合实验区某段管廊通风工程为研究背景,基于通风除湿有效时长预测模型,结合通风控制需求,利用进化多目标算法,提出综合管廊正常工况、事故工况下通风除湿进风状态参数的控制方法。结果表明:进风状态参数控制器可以根据决策者对通风风机工作时长和除湿机工作时温度、含湿量变化量的不同需求而灵活调整,并计算得到优化后的适宜控制目标,有利于实现综合管廊通风除湿进风状态参数控制实时决策。
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施有志 1 洪娇莉 2 林树枝 3 徐建宁 4
关键词地下综合管廊   有效时长预测模型   通风换气次数   BB-MOPSO算法   进风状态控制     
Abstract: In order to explore the control method of the intake air state in utility tunnels when the outside fresh air humidity is too high, taking the ventilation works of a utility tunnel section in Pingtan comprehensive experimental area as the research background, this paper proposes the control method of intake air state parameters for ventilation and dehumidification in utility tunnels under normal and accident conditions, by means of the effective ventilation and dehumidification duration prediction model, the evolutionary multi-objective algorithm (EMOA), and in combination with the ventilation control requirements. The results show that the intake air state parameter controller can be adjusted freely according to the different requirements of decision makers for ventilation fan working duration and dehumidifier working temperature and moisture content, and the optimized appropriate control objectives can be achieved, which is conducive to the real-time decision-making of the intake air state parameter control for ventilation and dehumidification in utility tunnels.
KeywordsUnderground utility tunnel,   Effective duration prediction model,   Air change rate,   BB-MOPSO algo? rithm,   Intake air state control     
收稿日期: 2021-04-17;
基金资助:厦门市科技计划项目(3502Z20183043);厦门市建设局科技项目(XJK-2021-9).
作者简介: 施有志(1976-),男,博士,教授,主要从事岩土、隧道及地下工程的研究工作,E-mail:2013110907@xmut.edu.cn.
引用本文:   
施有志 1 洪娇莉 2 林树枝 3 徐建宁 4 .基于BB-MOPSO的综合管廊进风状态参数控制研究[J]  现代隧道技术, 2022,V59(1): 156-163
SHI Youzhi1 HONG Jiaoli2 LIN Shuzhi3 XU Jianning4 .Study on State Parameter Control of Intake Air in Utility Tunnels Based on BB-MOPSO[J]  MODERN TUNNELLING TECHNOLOGY, 2022,V59(1): 156-163
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