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Multi objective optimization of aspirating smoke detector sampling pipeline
Optimization and Engineering ( IF 2.1 ) Pub Date : 2021-01-03 , DOI: 10.1007/s11081-020-09582-z
Tomica Višak , Jakov Baleta , Zdravko Virag , Milan Vujanović , Jin Wang , Fengsheng Qi

This work presents multi-objective optimization of an aspirating smoke detection system which uses the pipeline to transport air sample from the sampling points to the analysing module. On the basis of 3D computational fluid dynamics simulation it has been shown that the smoke transport will not always take place in the centre of the pipe and that one dimensional analysis is not able to provide information in which layer smoke transport will take place. Consequently, velocity from the layer at the distance of 0.95R from the pipe centreline was taken as an input for calculation of the transport time to bind the calculation on the safe side. By employing the multi-objective optimization approach, balancing of specific transport time and volume flow at the sampling points’ location was achieved through pipeline configuration variation with respect to pipe diameters and the position of branches along the main pipe. Objective function was assembled from the flow rate function and transport time function using the weighted sum method. Results for five different values of weight factor have been discussed. After reaching weight factor value of 0.75, configuration reached requested sensitivity, and further increase of weight factor enabled more uniform flow across the network without deterioration of transport time.



中文翻译:

吸气式烟雾探测器采样管道的多目标优化

这项工作提出了一种吸气式烟雾检测系统的多目标优化,该系统使用管道将空气样本从采样点传输到分析模块。根据3D计算流体动力学模拟,已显示烟雾传输不会始终发生在管道的中心,而且一维分析无法提供发生烟雾传输层的信息。因此,距层的速度为0.95 R将管道中心线的距离作为输入来计算运输时间,以将计算结果约束在安全侧。通过采用多目标优化方法,通过相对于管道直径和沿主管的分支位置的管道配置变化,实现了采样点位置处特定运输时间和体积流量的平衡。使用加权和方法从流量函数和运输时间函数组装目标函数。已经讨论了权重因子的五个不同值的结果。在达到0.75的权重因子值之后,配置达到了所需的灵敏度,并且权重因子的进一步增加使跨网络的流量更加均匀,而传输时间却没有恶化。

更新日期:2021-01-03
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