随着“互联网+”战略的实施与设施农业的发展，建设物联网温室势在必行。现在较为成熟的温室控制理论研究成果多是在模型确定和假定信息交换完全的情况下给出的，其应用到物联网温室控制系统中时会造成系统不稳定或无法实现控制目标。本项目充分考虑温室环境所受扰动，无线通信伴随的诸如衰落信道、时滞、丢包，传感器节点在信息交互过程中产生的诸如传感器饱和、信号量化等随机发生的不确定性因素，研究塑料覆盖华北型物联网连栋温室环境控制系统随机模型的建立及鲁棒控制问题。运用信息测量仪器和统计分析方法，构建温室环境控制系统的状态/测量随机模型；利用随机分析和泛函分析理论，研究控制器的分析与设计问题；将所得到的理论成果进行仿真模拟并在物联网实验平台上实际验证，进一步完善研究所建立的随机模型与控制算法。本项目的完成不仅具有重要的理论意义，而且对改善物联网温室环境控制系统建模和控制水平具备潜在的工程应用价值。

With the implementation of internet plus and development of agricultural facilities, it is imperative to construct the IOT (Internet of things) greenhouse. However, most of the available literature on greenhouse control theory are devoted to certain model and supposed complete information exchange. When the control strategy is applied to IOS greenhouse control systems, it can cause the system to be unstable or unable to achieve the control goal. Motivated by disturbance in greenhouse environment the random uncertain factors such as, fading channel, delay, packet loss in wireless communications and sensor saturation, signal quantization generated in the process of sensor nodes information interaction, the project mainly studies the problems of constructing stochastic model and robust control for plastic covering North China greenhouse environment. The stochastic model of state/measure of greenhouse environment control systems are constructed by using measuring instruments and statistical analysis methods. According to stochastic analysis theory and functional analysis theory, the analysis and design problems of the controllers are then investigated. The obtained theoretical results will be tested by simulation and running on the experiment platform of the Internet of things to improve the constructed stochastic model and control algorithm. The accomplishing of this project has not only theoretical significance but also potentially practical value in improving the level of greenhouse environment modeling and control.