基于遺傳算法的空調(diào)風(fēng)系統(tǒng)突發(fā)污染快速溯源
發(fā)布時(shí)間:2018-03-16 11:48
本文選題:風(fēng)系統(tǒng) 切入點(diǎn):溯源 出處:《同濟(jì)大學(xué)學(xué)報(bào)(自然科學(xué)版)》2017年08期 論文類型:期刊論文
【摘要】:為了在空調(diào)風(fēng)系統(tǒng)內(nèi)突發(fā)污染發(fā)生的短時(shí)間內(nèi)辨識(shí)到污染源,進(jìn)而采取相應(yīng)的應(yīng)急措施保障室內(nèi)人員安全,建立了不同污染場(chǎng)景下的風(fēng)系統(tǒng)傳感器模擬濃度數(shù)據(jù)庫(kù),基于遺傳算法,以傳感器模擬計(jì)算濃度與實(shí)測(cè)濃度差的平方為適應(yīng)度函數(shù),研究了風(fēng)系統(tǒng)采用不同的傳感器數(shù)目、不同的傳感器監(jiān)測(cè)位置與時(shí)間、傳感器性能參數(shù)變化及節(jié)點(diǎn)間距對(duì)反演結(jié)果總平均相對(duì)誤差(ξ)的影響.算例結(jié)果表明:針對(duì)某一特定風(fēng)系統(tǒng),經(jīng)位置優(yōu)化后的傳感器數(shù)目越多,ξ越小,同時(shí)考慮ξ的降低幅度及傳感器成本,該風(fēng)系統(tǒng)內(nèi)宜設(shè)置3個(gè)傳感器;在三傳感器系統(tǒng)條件下,溯源計(jì)算收斂子代數(shù)少且收斂時(shí)間短(5s),可實(shí)現(xiàn)快速溯源;傳感器監(jiān)測(cè)位置與首次監(jiān)測(cè)到污染物的時(shí)間對(duì)溯源誤差的作用是耦合的,傳感器監(jiān)測(cè)誤差對(duì)源位置x0反演沒有影響,而傳回?cái)?shù)據(jù)時(shí)間間隔越大,源位置x0反演相對(duì)誤差越大;最后風(fēng)系統(tǒng)內(nèi)節(jié)點(diǎn)總數(shù)存在一個(gè)適當(dāng)范圍兼顧全局尋優(yōu)及降低計(jì)算負(fù)荷的作用.
[Abstract]:In order to identify the pollution sources in a short period of time when the sudden pollution occurred in the air conditioning system, and then take corresponding emergency measures to ensure the safety of indoor personnel, a simulated concentration database of air system sensors under different pollution scenarios was established. Based on genetic algorithm, the square of the difference between the simulated and measured concentration is taken as the fitness function, and the number of sensors, the monitoring position and the time of the sensor in the wind system are studied. The change of sensor performance parameters and the effect of node spacing on the total average relative error (尉) of the inversion results. The numerical results show that: for a particular wind system, the more sensors are optimized, the smaller 尉 is. At the same time, considering the reducing amplitude of 尉 and the cost of sensor, three sensors should be set up in the wind system, and under the condition of three-sensor system, the convergence subalgebra of traceability calculation is few and the convergence time is short, so the fast traceability can be realized. The effect of sensor monitoring position and the time of first monitoring pollutant on the tracing error is coupled. The sensor monitoring error has no effect on the source position x 0 inversion, but the larger the time interval is, the greater the source position x 0 inversion relative error is. Finally, the total number of nodes in the wind system has an appropriate range to take into account the global optimization and reduce the calculation load.
【作者單位】: 同濟(jì)大學(xué)機(jī)械與能源工程學(xué)院;
【基金】:國(guó)家自然科學(xué)基金(51278370)
【分類號(hào)】:TU83;X51
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本文編號(hào):1619783
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