摘要
为了降低溧阳青虾养殖塘的成本,增加虾塘产量,实现溧阳青虾养殖塘的智能化、数字化,文章研究了针对溧阳青虾养殖塘的基于云-雾-边人工智能算法的智慧养殖平台。该平台采用云-雾-边的通信框架,通过设计云端总控平台收集整理数据并下发命令,设计手机App对各个虾塘的信息进行实时监督。同时采用基于深度卷积神经网络的双线性细粒度图像分类算法的识别方案对虾塘信息做出实时反馈,该平台可以实现高端水产养殖的数字化、智能化、高效率与高产出。
In order to reduce the cost of Liyang shrimp culture pond,increase the output of shrimp pond,and realize the intellectualization and digitization of Liyang shrimp culture pond,this paper studies the intelligent culture platform based on cloud-fog-edge artificial intelligence algorithm for Liyang shrimp culture pond.The platform adopts the cloud-fog-edge communication framework.Through the design of the cloud master control platform,it collects and collates data and issues commands,and designs a mobile App to monitor the information of each shrimp pond in real time.At the same time,the identification scheme of bilinear fine-grained image classification algorithm based on deep convolution neural network is used to make real-time feedback on shrimp pond information.This platform can realize the digitization,intelligence,high efficiency and high output of high-end aquaculture.
作者
穆迪
史永祥
李杰
吴旻
王煜
蒋怡静
雷杰
Mu Di;Shi Yongxiang;Li Jie;Wu Min;Wang Yu;Jiang Yijing;Lei Jie(State Grid Liyang Electric Power Co.,Ltd.,Changzhou 213300,China)
出处
《江苏科技信息》
2022年第27期50-55,共6页
Jiangsu Science and Technology Information
关键词
云-雾-边协同优化
人工智能
深度学习
卷积神经网络
cloud-fog-edge collaborative optimization
artificial intelligence
deep learning
convolutional neural network
