摘要
为了分析和解决水泵转速变化超过20%时,通过水泵相似律换算的泵装置能量性能参数存在显著差异的问题,构建了基于水泵转速和泵装置扬程两个参数预测泵装置流量和水泵轴功率的曲面函数方程,并将不同转速贯流泵装置非线性特性的能量效率性能曲线转换为基于BP-ANN的不同转速贯流泵装置能量效率参数的预测模型,确定了效率参数预测模型的输入模式,给出了BP-ANN网络结构。BP神经网络预测模型经试验数据验证,预测的泵装置效率绝对偏差在1%以内,为泵装置的变速调节及性能换算提供了参考依据。
When the rotating speed change of the pump exceeds 20%of the original speed,the calculated values of its performance parameters by the pump similarity law are greatly differentiated.In order to analyze and solve this problem,a surface function equation is constructed to predict the flow rate and axial power of the pump device based on the two parameters of the pump speed and the head of the pump device.The energy efficiency performance curve with nonlinear characteristics of the tubular pump device at different speeds is converted to a prediction model of the energy efficiency parameters of the tubular pump device at different speeds based on BP-ANN.Meanwhile,the input mode of the prediction model is determined to establish the network structure of BP-ANN.According to the verification by the experimental data,the absolute deviation of the predicted pump efficiency is less than 1%,which meets the accuracy requirements of practical engineering applications.This model can provide a reference for variable speed regulation and performance conversion of pump devices.
作者
沈强儒
吕玉婷
陆美凝
蒋东进
杨帆
SHEN Qiangru;L Yuting;LU Meining;JIANG Dongjin;YANG Fan(School of Transportation and Civil Engineering,Nantong University,Nantong 226019,China;College of Hydraulic Science and Engineering,Yangzhou University,Yangzhou 225009,China;Jiangsu Hongze Lake Water Conservancy Project Management Office,Huaian 223005,China)
出处
《水资源与水工程学报》
CSCD
北大核心
2022年第5期118-123,共6页
Journal of Water Resources and Water Engineering
基金
国家自然科学基金项目(51609210)
江苏省高校自然科学研究重大项目(20KJA570001)
江苏省水利科技项目(2020029)
江西省水利科技项目(201921YBKT11)。
关键词
贯流泵
泵装置
能量性能参数
神经网络
效率
转速
tubular pump
pump device
energy performance parameter
neural network
efficiency
rotating speed
