计算机与现代化Issue(10)：20-23,4.DOI:10.3969/j.issn.1006-2475.2025.10.004
基于知识蒸馏技术的电力视觉系统
Power Vision System Based on Knowledge Distillation Technology
摘要
Abstract
This paper proposes a power vision system based on knowledge distillation technology,aiming to solve the application challenges of power vision models in resource-constrained environments.By dynamically selecting a large-scale power vision model with high performance as the teacher model and intelligently constructing a lightweight small model as the student model,the knowledge distillation technology is utilized to compare the outputs of the student model and the teacher model.By minimiz-ing the difference between the two models,effective knowledge transfer is achieved.The research results are applied to the power vision field,which constructs a power vision system including power vision datasets,teacher model selection,student model con-struction,knowledge distillation,optimized training and model evaluation.Then an automated knowledge distillation process is achieved.Experimental results based on the power vision datasets show that the research can significantly reduce model complex-ity and computational resource consumption while maintaining high recognition accuracy,improving the applicability and effi-ciency of the power vision system in resource-constrained environments.关键词
大模型/知识蒸馏/知识迁移/深度学习/电力视觉系统Key words
large-scale model/knowledge distillation/knowledge transfer/deep learning/power vision system分类
计算机与自动化引用本文复制引用
黄姗姗,罗旺,郝运河..基于知识蒸馏技术的电力视觉系统[J].计算机与现代化,2025,(10):20-23,4.基金项目
国家电网有限公司总部科技项目(5700-202340675A-3-3-JC) （5700-202340675A-3-3-JC）
