边缘算力在智能水产养殖方面研究与应用OA北大核心CSTPCD

To reduce environmental pollution in aquaculture,ensure the safety of the aquaculture ecosystem,and improve the quality of the ecological environment,this article uses Internet of Things technology to design and implement an intelligent monitoring system for aquaculture.The system achieves real-time collection,remote display,and automatic control of dissolved oxygen,pH value,water temperature,light intensity,environmental temperature,and humidity parameters in the aquaculture area through intelligent sensor terminals,achieving remote intelligent aquaculture of aquatic products.At the same time,the system uses Raspberry Pie as the edge computing device to explain the system from four main aspects:the perception layer,the transport layer,the edge computing layer,and the application layer.Through intelligent algorithms,the system realizes real-time fine management of resources,making data visible and credible,and further explores the feasibility of intelligent and collaborative aquaculture.The practice has shown that the system has advantages such as stable operation,accurate perception,timely control,and strong scalability on physical models,and can be promoted and applied in aquaculture.