摘要
为了提高小麦农田灌溉用水效率,设计了一种基于综合气象信息的小麦智能灌溉系统。设计了灌溉预测模块,通过网络爬虫技术获取未来气象信息,并构建灌溉预测模型预测下一次灌溉日期,该模块综合考虑未来天气因素的影响,能够最大程度地节约水资源,具有前瞻性的控制效果;在灌溉决策模块的设计时,结合小麦需水规律并通过模糊控制算法实现灌溉时长的模糊控制,优化了灌溉系统的控制策略。在优化传统模糊灌溉的基础上,新增了灌溉预测模块,实际应用表明,本灌溉系统运行下农田的土壤湿度更接近于小麦生长的最佳土壤湿度,并且节水效果明显。
In order to improve the irrigation water efficiency of wheat field,intelligent irrigation system based on integrated meteorological information for wheat was designed.The system designs an irrigation prediction module,obtains future meteorological information through web crawler technology,and constructs an irrigation prediction model to predict the next irrigation date.The module comprehensively considers the influence of future weather factors and can save water resources to the greatest extent,and is forward-looking.The control effect is combined with the wheat water requirement law in the design of the irrigation decision module and the fuzzy control algorithm is used to realize the fuzzy control of the irrigation time,and the control strategy of the irrigation system is optimized.Based on the optimization of traditional fuzzy irrigation,the system has added an irrigation prediction module.The practical application shows that the soil moisture of wheat under this irrigation system is closer to the suitable soil moisture for wheat growth,and the water saving effect is obvious.
作者
王延年
谢福来
向秋丽
Wang Yannian;Xie Fulai;Xiang Qiuli(College of Electronics and Information,Xi'an Polytechnic University,Xi'an 710048,China)
出处
《国外电子测量技术》
2019年第4期93-97,共5页
Foreign Electronic Measurement Technology
关键词
智能灌溉
网络爬虫
灌溉预测
模糊控制
intelligent irrigation
web crawler
irrigation prediction
fuzzy control
