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畜舍內(nèi)循環(huán)除濕系統(tǒng)多目標(biāo)優(yōu)化調(diào)控算法研究
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農(nóng)業(yè)農(nóng)村部智慧養(yǎng)殖技術(shù)重點(diǎn)實(shí)驗(yàn)室開放課題項(xiàng)目(KLSFTAA-KF001,、KLSFTAA-KF002 )、黑龍江省自然科學(xué)基金項(xiàng)目( LH2023C017),、國家自然科學(xué)基金面上項(xiàng)目(32072787,、32372934)和黑龍江省教育廳新一輪黑龍江省“雙一流”學(xué)科協(xié)同創(chuàng)新成果項(xiàng)目( LJGXCG2023-062、LJGXCG2024-F14)


Multi-objective Optimal Control Algorithm of Internal Circulation Dehumidification System in Animal Houses
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    摘要:

    針對寒區(qū)冬季密閉式畜舍內(nèi)現(xiàn)有的溫濕環(huán)境調(diào)控?zé)崃繐p失大,、補(bǔ)溫能耗高,,以及僅依賴溫度或濕度等單一指標(biāo)調(diào)控而導(dǎo)致環(huán)境調(diào)控效果不佳等問題,基于課題組前期研發(fā)的寒區(qū)畜舍內(nèi)循環(huán)除濕系統(tǒng),,提出一種改進(jìn)的多目標(biāo)優(yōu)化算法(Improved non-dominated sorting genetic algorithm-Ⅱ,,INSGA-Ⅱ)優(yōu)化該系統(tǒng)保溫、除濕和能耗的運(yùn)行效果,。INSGA-Ⅱ采用自適應(yīng)差分變異算子和改進(jìn)精英保留策略的方法,,增加最優(yōu)解的種群多樣性,避免算法陷入局部收斂,。通過Zitzler-Deb-Thiele(ZDT)系列測試函數(shù)驗(yàn)證,,改進(jìn)INSGA-Ⅱ算法的反向世代距離(Inverted generational distance,IGD)和世代距離(Generational distance,,GD)指標(biāo)都優(yōu)于傳統(tǒng)NSGA-Ⅱ算法,,與真實(shí)解更為接近。內(nèi)循環(huán)除濕系統(tǒng)優(yōu)化調(diào)控性能數(shù)據(jù)表明,,空間廣泛性評價(jià)指標(biāo)(Spacing,,SP)從NSGA-Ⅱ的0.1118降低到INSGA-Ⅱ的0.0202,最優(yōu)解分布域顯著增加,,可為系統(tǒng)運(yùn)行的優(yōu)化調(diào)控提供更為廣泛的參考依據(jù),,同時(shí)求解速度提高106.42%。在除濕系統(tǒng)仿真調(diào)控效果方面,,INSGA-Ⅱ算法調(diào)控平均降溫比NSGA-Ⅱ算法減少1.43℃,,降幅為23.06%,減少了由除濕帶來的舍內(nèi)降溫,,能夠獲得更好的保溫節(jié)能效果,。因此,改進(jìn)INSGA-Ⅱ優(yōu)化算法有助于提升畜舍內(nèi)循環(huán)除濕系統(tǒng)工作性能,,為畜舍溫濕環(huán)境精準(zhǔn)調(diào)控提供可行的技術(shù)支撐,。

    Abstract:

    Currently, China’s livestock breeding industry is rapidly scaling towards intensification, making environmental control in livestock houses crucial. In cold northeastern winters, insulation used to prevent heat loss leads to high humidity levels, which harms livestock. Therefore, an efficient dehumidification system is essential to reduce heat loss and improve conditions. An internal air circulation dehumidification system was designed based on condensation and moisture separation, utilizing natural cold resources for effective dehumidification and energy savings. However, the system’s performance was influenced by several control factors, including the temperature difference between inside and outside, dehumidification airflow rate, and refrigerant flow rate, which affected multiple objectives such as indoor temperature decrease, dehumidification rate, and energy consumption. Thus, the system required a multi-objective control strategy. An improved non-dominated sorting genetic algorithm-Ⅱ (INSGA-Ⅱ) was proposed to optimize the balance between insulation,dehumidification, and energy preservation strategies, avoiding local convergence. Verified through the Zitzler-Deb-Thiele (ZDT) test functions, INSGA-Ⅱoutperformed the traditional NSGA-Ⅱ in both inverted generational distance (IGD) and generational distance (GD), reflecting a closer approximation to true solutions. In optimizing the dehumidification system, the INSGA-Ⅱ algorithm reduced the spacing (SP) value from 0.1118 in NSGA-Ⅱ to 0.0202,significantly expanding the optimal solution domain and preventing local optima. The operational efficiency was increased by 106.42%, and the solution speed was improved. In terms of temperature regulation, the average temperature drop using INSGA-Ⅱ was 1.43℃ lower than that of NSGA-Ⅱ, achieving a 23.06% reduction, which helped to reduce temperature fluctuations and energy consumption 〖JP3〗during dehumidification. Thus, the INSGA-Ⅱ algorithm effectively enhanced the multiobjective optimization and control performance of the internal circulation dehumidification system in livestock houses.

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張繼成,閆藝璇,鄭萍,謝秋菊,黎煊.畜舍內(nèi)循環(huán)除濕系統(tǒng)多目標(biāo)優(yōu)化調(diào)控算法研究[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2025,56(4):483-492. ZHANG Jicheng, YAN Yixuan, ZHENG Ping, XIE Qiuju, LI Xuan. Multi-objective Optimal Control Algorithm of Internal Circulation Dehumidification System in Animal Houses[J]. Transactions of the Chinese Society for Agricultural Machinery,2025,56(4):483-492.

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  • 收稿日期:2024-10-27
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  • 在線發(fā)布日期: 2025-04-10
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