摘要
目前温室的采暖设计理论未考虑新节能技术和温室采用的智能控制系统对温度的影响,因而容易造成设备容量过大和燃料储备过多的现象。为此,使用基于神经网络和模型的模糊专家系统来设计适当的加温设备和经济的燃料储备,可以大量地节约温室运行成本。
Present design theory for heating system of greenhouse do not consider the effects of using new energy-saving technology and using intelligent control system on temperature, so it is inclined to design much more capability of equipments and much more reserves of fuels. At this paper, new fuzzy expert system based on neural network and model was presented to design proper heating capability and economic reserves of fuels, which could greatly save the cost of running greenhouse. [
出处
《农机化研究》
北大核心
2004年第2期140-142,共3页
Journal of Agricultural Mechanization Research
关键词
日光温室
升温系统
节能设计
专家系统
运行成本
神经网络
温度
agricultural engineering
sunlight greenhouse research design
expert system
heating system
energy-saving
