基于布谷鸟搜索算法的空调水系统管网阻力特性辨识
摘要：空调水系统管网阻力特性辨识是建立准确可靠的管网仿真模型的必要条件，同时也是一个非常复杂的非线性函数优化问题。提出了一种基于布谷鸟搜索算法的空调水系统管网阻力特性辨识方法，该方法基于管网系统多种运行工况下的实测数据，使用布谷鸟搜索算法求解管网阻力特性辨识的目标函数，具有更高的辨识精度。案例研究表明，基于该方法校准后的管网仿真模型模拟所得的各末端流量误差均在3%以内，辨识结果能够满足工程应用的需要。
关键词：空调水系统管网阻力特性辨识布谷鸟搜索算法管网仿真
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[16] 兰少峰，刘升.布谷鸟搜索算法研究综述[J].计算机工程与设计，2015,36(4):1063- 1067.
[17] 孙文娇，高飒，王瑞庆，等.几类元启发式优化算法性能的比较研究[J].数学理论与应用，2016,36(2):118- 124.
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Identification of resistance characteristics for air conditioning water system pipe networks based on cuckoo search algorithm
Abstract: The identification of the resistance characteristics of the pipe network in the air conditioning water system is a necessary condition for establishing an accurate and reliable pipe network simulation model, and it is also a very complex nonlinear function optimization problem. This paper proposes a method for identifying the resistance characteristics of the air conditioning water system based on the cuckoo search algorithm, which is based on the measured data under various operating conditions of the pipe network system, uses the cuckoo search algorithm to solve the objective function of the resistance characteristics of the pipe network, and has higher identification accuracy. The case study shows that the flow error of each end of the pipe network simulation model calibrated based on this method is within 3%, and the identification results can meet the needs of engineering applications.
Keywords: air conditioning water system; pipe network resistance characteristic; identification; cuckoo search algorithm; pipe network simulation;
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