摘要
电水转换法是一种经济有效的农业用水计量方法,构建合理的电水转换模型,提出适宜的模型参数优化方法对于提高计量精度具有重要的研究意义。对传统的电水转换模型进行优化改进,并提出了一种基于自适应调整惯性权重和变邻域混沌搜索的改进粒子群的模型参数寻优方法。最后分别采用最小二乘法、粒子群算法、改进粒子群算法进行模型参数拟合,结果表明改进粒子群算法寻优精度更高、有更好的收敛速度,拟合的特征关系曲线能够更真实的反应耗电量和供水量的关系,为农业用水计量设备的研制提供理论基础。
Electricity-water conversion is an economical and effective method for measuring agricultural water. Building a reasonable transformation model of electricity-water and proposing an appropriate optimization method for model parameters is important for improving the accuracy of measurement. In this study,the traditional electricity-water conversion model is optimized and improved. An improved particle swarm optimization algorithm based on self-adaptive adjustment of inertia weight and variable neighborhood chaotic search is proposed. At last,LSM,PSO and IPSO are used to optimize the model parameters. The results show that the IPSO has higher optimization precision and better convergence speed; the fitting characteristic curve can reflect the relationship between the power consumption and the water supply more truly. This study provides a theoretical basis for the development of agricultural water metering equipment.
作者
邬智俊
胡钢
沈波
刘美华
章梅娟
WU Zhi-jun;HU Gang;SHEN Bo;LIU Mei-hua;ZHANG Mei-juan(College of the IOT Engineering of Hohai University,Changzhou 213022,Jiangsu Province,China;Nantong Water Conservancy Bureau,Nantong 226018,Jiangsu Province,China;Nantong Water Supply and Drainage Management Station,Nantong 226018,Jiangsu Province,China)
出处
《节水灌溉》
北大核心
2018年第9期98-101,107,共5页
Water Saving Irrigation
基金
江苏水利科技项目"南通市农业水费智能化计量征收技术研究"(2017070)
关键词
电水转换
农业用水计量
自适应调整惯性权重
变邻域混沌搜索
粒子群算法
electricity water conversion
measurement of agricultural water
self-adaptive adjustment of inertia weight
variableneighborhood chaotic search
PSO
