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考慮時(shí)空變異特性的溫室多環(huán)境因子優(yōu)化策略
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中國(guó)博士后特別項(xiàng)目(2018T110457)


Optimization Strategy of Greenhouse Multiple Environmental Factors Considering Temporal and Spatiotemporal Variability
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    摘要:

    本文考慮溫室環(huán)境的時(shí)空變異特性,,通過(guò)構(gòu)建溫室建筑計(jì)算流體力學(xué)(CFD)模型,,結(jié)合帶精英策略的非支配遺傳算法(NSGA-Ⅱ),建立C++-Fluent聯(lián)合優(yōu)化框架,,實(shí)現(xiàn)溫室環(huán)境因子的多目標(biāo),、高效率優(yōu)化。CFD溫室模型在江蘇省鎮(zhèn)江市的一處溫室進(jìn)行實(shí)地驗(yàn)證,;迭代優(yōu)化算法由C++實(shí)現(xiàn)并通過(guò)超級(jí)計(jì)算機(jī)提高計(jì)算效率,;優(yōu)化目標(biāo)包括作物區(qū)域溫度場(chǎng)、二氧化碳濃度分布以及控制溫室風(fēng)機(jī)能耗,。研究結(jié)果表明,,CFD溫度場(chǎng)和速度場(chǎng)與監(jiān)測(cè)點(diǎn)實(shí)驗(yàn)值吻合度高,平均相對(duì)誤差分別為4.9%和7.05%,;為獲得某場(chǎng)景下作物生長(zhǎng)溫度場(chǎng),、二氧化碳濃度分布的最優(yōu)值且維持溫室風(fēng)機(jī)的低能耗,,溫室濕簾入口溫度為[296.6K,,302K],風(fēng)機(jī)出口風(fēng)速為[2.9m/s,,5.5m/s],。此時(shí)作物區(qū)域的溫度場(chǎng)、二氧化碳濃度分布及風(fēng)機(jī)能耗均在最優(yōu)范圍,,有助于提高作物產(chǎn)量,,降低溫室能耗;超級(jí)計(jì)算機(jī)Linux系統(tǒng)下開(kāi)發(fā)的優(yōu)化方案計(jì)算效率比個(gè)人計(jì)算機(jī)大幅提高,,計(jì)算時(shí)長(zhǎng)縮短約88.09%,。本文所提策略充分考慮溫室環(huán)境的時(shí)空變化特性,對(duì)溫室內(nèi)多環(huán)境因子實(shí)現(xiàn)多目標(biāo),、高效率優(yōu)化,。

    Abstract:

    Considering the temporal and spatial variation characteristics of greenhouse environment, the C++-Fluent joint optimization framework was established by constructing the greenhouse building computational fluid dynamics (CFD) model and combining the non dominated genetic algorithm with elite strategy (NSGA-Ⅱ), so as to realize the multi-objective and high-resolution optimization of greenhouse environmental factors. The CFD greenhouse model was verified by a greenhouse in Zhenjiang City, Jiangsu Province. The iterative optimization algorithm was implemented in C++ and the computing efficiency was improved by supercomputer. The optimization objectives included crop regional temperature field, carbon dioxide distribution and control of greenhouse fan energy consumption. The results showed that the CFD temperature field and velocity field were in good agreement with the experimental values at the monitoring points, and the average relative errors were 4.9% and 7.05% respectively. In order to obtain the optimal value of crop growth temperature field and carbon dioxide distribution in a certain scene and maintain low energy consumption of greenhouse fan, the greenhouse wet curtain temperature was [296.6K, 302K], and the fan outlet wind speed was [2.9m/s, 5.5m/s]. At this time, the temperature field, carbon dioxide distribution and fan energy consumption in the crop area were in the optimal range, which helped to improve crop yield and reduce greenhouse energy consumption. The computing efficiency of the optimization scheme developed under the supercomputer Linux system was significantly higher than that of the personal computer, and the computing time was shortened by about 88.09%. The strategy proposed fully considered the temporal and spatial variation characteristics of greenhouse environment and realized high-resolution and high-efficiency optimization of multiple environmental factors in greenhouse, which can provide a basis for the selection of greenhouse environmental parameters suitable for crop growth.

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李康吉,張世通,孟凡躍,毛罕平.考慮時(shí)空變異特性的溫室多環(huán)境因子優(yōu)化策略[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2021,52(11):343-350. LI Kangji, ZHANG Shitong, MENG Fanyue, MAO Hanping. Optimization Strategy of Greenhouse Multiple Environmental Factors Considering Temporal and Spatiotemporal Variability[J]. Transactions of the Chinese Society for Agricultural Machinery,2021,52(11):343-350.

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  • 收稿日期:2020-11-18
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  • 在線發(fā)布日期: 2021-11-10
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