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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)
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.
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.
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
2022, Vol. 59 