温室大棚环境动态测控系统研制

针对大棚环境测控系统在大面积应用时检测及路由节点过多，环境波动大的问题，利用巡检车和LoRa远距离传输网络设计了大棚环境测控系统，通过定点与移动采集相结合的方式，减少节点的数量；系统对环境进行调节时先判断作物的生长阶段，再由Fuzzy-PID算法进行动态调控，使环境始终保持在最适宜的状态，进而使农作物优质、高产。为验证本系统的优越性，以温度控制为例，利用MATLAB构建仿真模型，与传统PID控制相比，超调量降低15.3%,调节时间降低21%。田间实验结果表明，与开关量控制和传统PID控制相比，该系统控制精度更高，环境波动小，能有效使棚内环境保持稳定。

Development of dynamic measurement and control system for greenhouse environment

Aiming at the problems of too many detection and routing nodes and large environmental fluctuation in the large-area application of greenhouse environment monitoring and control system, the greenhouse environment monitoring and control system was designed by using an inspection vehicle and LoRa remote transmission network. The number of nodes was reduced by combining fixed-point and mobile acquisition. When the system adjusts the environment, it first determines the growth stage of crops, and then dynamically adjusts and controls them by the Fuzzy-PID algorithm, so that the environment is always maintained in the most suitable state, thereby enabling high quality and high yield of crops. To verify the superiority of the system, taking the temperature control as an example, the simulation model is constructed by MATLAB. Compared with the traditional PID control, the overshoot is reduced by 15.3% and the adjustment time is reduced by 21%. The field experiment results show that compared with the switch control and the traditional PID control, the system has higher control accuracy and smaller environmental fluctuation, which can effectively keep the environment in the shed stable.