| With the continuous development of architectural technology,the overall scale of all types of buildings is increasing.It meets people’s production and living needs,but also causes tall space building sudden pollution release events,which tend to cause great harm to people’s life and health and lead to serious social influence.It has attached wide attention from all walks of life in the world.Therefore,it is of great significance to ensure the safety of human living environment in tall buildings.Due to the characteristics of high height and long span of large space buildings,the existing research methods for indoor pollution control of small buildings such as residential buildings and offices are not applicable.Based on the Fluent simulation platform,this paper proposes a whole process scheme for controlling spatial pollution events of tall buildings,including the early optimization and design of efficient sensor network,the rapid and accurate identification of pollution source information when an event occurs,and the determination of the best emergency response scheme.The main research contents are as follows:(1)A scheme is proposed to optimize the layout of spatial sensor network of tall buildings by combining the adjoint probability method and genetic algorithm.The whole scheme consists of two parts: the full coverage design for the monitoring area of the large space and the fastest response design for the pollution release of the key area with high release probability.The optimization objectives and design steps of the two parts are described respectively.The proposed design scheme is demonstrated and verified by taking the two-dimensional model of workshop local working area as the research object,and compared with the traditional engineering design method,it is proved that the sensor network designed by this scheme has advantages in construction cost,coverage range and response time.(2)On the basis of the pollution source identification theory of the adjoint probability method,a reverse pollution source identification strategy based on the real-time monitoring data of tall building space sensors is proposed,including the selection method of sensor data and the recording process.In the two-dimensional space,the tracing the source strategy is demonstrated and verified by obtaining the "real-time data" of the sensor network through forward simulation of the single pollution source release scenario,and the relative error of the calculated source location is less than 5%.(3)On the basis of obtaining the identification results of pollution sources,the optimal strategy of emergency response plan for space pollution incidents of tall buildings is proposed.According to the distribution of personnel in space,the optimal evacuation path was determined.Combined with the actual development process of pollution events,considering the impact of pollution release and detection time on the spread of pollutants and evacuation of personnel,different emergency response plans were compared through numerical simulation to determine the optimal emergency response plan.In the case of office pollution release,the optimization process of emergency response scheme is demonstrated,which proves that this scheme has application value in dealing with practical problems.(4)In the actual high-space case model of an industrial factory building,an optimal sensor network was designed to achieve full coverage of the monitoring area and the fastest response to gas leakage in the storage tank area.Set up pollution source in the working area.The forward simulation of pollutant propagation process was carried out and the "real-time data" of the sensor was obtained.According to the data,the location of the pollution sources,the release intensity and release time are determined.Based on the results of tracing the origin,the best evacuation emergency ventilation scheme of personnel evacuation is selected and the feasibility of the application of this study in the real tall space building was validated. |
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