家电科技2023，Vol.6Issue(6)：22-26,5.DOI:10.19784/j.cnki.issn1672-0172.2023.06.002
自适应多任务的主动智能控制边缘计算集成框架
An ensemble framework for auto-adaptive active-control multi-task edge computing algorithm
唐善玄 1刘猛 2王少华 1张浩 1樊其锋1
作者信息
- 1. 广东美的制冷设备有限公司广东佛山 528000
- 2. 重庆大学重庆 400045
- 折叠
摘要
Abstract
Smart home technology has developed rapidly.In the development of smart home technology,air conditioner plays a vital role.It improves indoor thermal comfort and air quality,providing a comfortable living environment and protecting the health of the occupants.For smart home algorithms,active smart control of residential air conditioning is the most important component.It aims at providing occupants with all-day auto-control based on usage behavior and sensor information.However,active smart control needs to face the challenges of limited edge resources and lacking of unified modelling architecture.Proposing a framework called Auto-adaptive Multi-task Edge Computing Framework(AMEC),which combines multi-task architecture and auto-adaptive training strategy for active smart control.The framework can unify and integrate smart control algorithms,improving edge computing efficiency of ensemble active smart control algorithms for air conditioners.In the experiment,by integrating and optimizing modelling tasks in a mainstream active smart control system,AMEC brings about 20％to 50％parameter reduction without significant performance degradation,greatly improving the computational performance of the algorithm and reducing the edge resource overhead of its application.关键词
边缘计算/物联网/多任务框架/智能控制Key words
Edge computing/Internet of Things/Multi-task/Smart control分类
信息技术与安全科学引用本文复制引用
唐善玄,刘猛,王少华,张浩,樊其锋..自适应多任务的主动智能控制边缘计算集成框架[J].家电科技,2023,6(6):22-26,5.
