Research on Cloud Edge Collaborative Application Mode of Intelligent Distribution Station Building Based on Lightweight Model
In order to address the issues of network bandwidth limitation and data transmission delay caused by cloud-based cen-tralized inference mode in image intelligent recognition for the power industry,this paper explores and integrates research in two direc-tions:cloud-edge collaborative application and lightweight compression of artificial intelligence deep learning network models.By comparing and analyzing the cloud-edge collaborative architecture system and mainstream artificial intelligence deep learning network model compression methods,a cloud-edge collaborative application mode based on parameter quantization model compression is pro-posed.The feasibility of the application mode is verified by business application alerts and data conclusions through on-site testing in certain intelligent distribution station.The cloud-side model reuse reduces the human and material resources required for developing additional edge-side models,and the on-site application effect demonstrates that this application mode has high demonstration and promotion value.
cloud-edge collaborationmodel compressionedge computingparameter quantizationartificial intelligence(AI)internet of things(IoT)
万方数据
维普
