基于Zigbee网络的中华绒螯蟹养殖中溶氧量智能控制系统研究与应用

随着信息技术和规模化水产养殖的发展,传统的养殖模式将会逐渐被智能水产养殖所取代。构建了基于Zigbee的中华绒螯蟹养殖中溶氧量的智能控制系统,并着重研究了蟹塘的增氧控制算法,针对溶氧量变化的非线性、大滞后、不确定、大惯性等特点,提出了模糊RBF神经网络改进的PID控制策略,并通过Matlab进行模糊RBF神经网络控制器与常规PID控制器和模糊PID控制器进行仿真对比,同时在某中华绒螯蟹养殖基地进行模糊PID控制器和模糊RBF神经网络控制器进行应用实验对比,证明了模糊RBF控制器能够更好地满足中华绒螯蟹养殖溶氧量的控制要求。

The research and application of oxygen intelligent control based on Zigbee in Eriocheir sinensis aquaculture

With the development of information technology and the scale of aquaculture, the traditional breeding mode will gradually be replaced by intelligent aquaculture. This paper puts forward an intelligent control system about dissolved oxygen in culture of Eriocheir sinensis based on Zigbee, and focuses on the study of the crab pond aeration control algorithm, aiming at the characteristics of nonlinear and dissolved oxygen changes large lag, uncertainty, big inertia, the PID control strategy is improved by fuzzy RBF neural network, and through the Matlab, RBF fuzzy neural network controller are simulated and compared with conventional PID controller and fuzzy PID controller ,in the same time, fuzzy PID controller and the application of experimental comparison of fuzzy RBF neural network controller in a Chinese mitten crab breeding base. It prove that the fuzzy RBF controller can meet the control of Chinese mitten crab breeding oxygen requirements.