设施农业温室大棚智能控制技术的现状与展望

发布时间：2018-04-10 13:09

本文选题：设施农业 + 温室大棚　；参考：《江苏农业科学》2017年21期

【摘要】：设施农业的发展是农业现代化的重要标志,也是现代化农业发展的重要建设任务。温室大棚智能控制作为设施农业种植与生产过程中的关键环节,是提高生产效率、保障农作物品质的重要措施,近年来,已成为国内外热门研究课题。温室环境是一种非线性、强耦合性、多干扰性、时滞性的动态环境系统,温室内环境因子与环境因子、植物生长情况与环境因子之间都存在复杂的能量关系。因此,如何高效经济地实现温室内多因子间的复合控制是温室环境控制过程要解决的关键问题。我国的智能温室大棚技术较国外发展晚,在控制方法、控制技术和控制成本等方面都与国外先进技术存在较大差距。为了促进我国设施农业温室大棚智能控制技术的快速发展,推动设施农业领域的技术进步,总结了国内外温室大棚智能控制技术的发展过程,重点对模糊控制、神经网络控制和专家系统控制等温室控制算法进行了分析和比较,展望了设施农业温室大棚智能控制技术的发展方向。
[Abstract]:The development of facility agriculture is not only an important symbol of agricultural modernization, but also an important construction task of modern agriculture development.As a key link in the process of planting and production of protected agriculture, intelligent control of greenhouse shed is an important measure to improve production efficiency and ensure crop quality. In recent years, it has become a hot research topic at home and abroad.Greenhouse environment is a kind of dynamic environment system with nonlinear, strong coupling, multi-disturbance and time-delay. There is a complex energy relationship between environmental factors and environmental factors in greenhouse, plant growth and environmental factors.Therefore, how to efficiently and economically realize the compound control of multiple factors in greenhouse is the key problem to be solved in the process of greenhouse environmental control.The technology of intelligent greenhouse in our country has developed later than that in foreign countries, and there is a big gap between China and other advanced technologies in terms of control method, control technology and control cost.In order to promote the rapid development of the intelligent control technology of greenhouse greenhouse in China, and to promote the technological progress in the field of facility agriculture, this paper summarizes the development process of intelligent control technology in greenhouse greenhouse at home and abroad, with emphasis on fuzzy control.The neural network control and expert system control are analyzed and compared, and the development trend of intelligent control technology in greenhouse is prospected.
【作者单位】：太原理工大学/煤矿电气设备与智能控制山西省重点实验室/矿用智能电器技术国家地方联合工程实验室;
【基金】：山西省科技厅重大专项(编号:20131101029) 山西省物联网产业发展及应用分析预测(编号:kxkt1605)
【分类号】：S126;S625

【相似文献】