时空数据驱动的智能家居服务管控方法  

A Spatio-Temporal Data-Driven Control Method for Smart Home Service

作　　者：陈佳雯 陈金荣 陈星[1,2,3] 莫毓昌[4] CHEN Jiawen;CHEN Jinrong;CHEN Xing;MO Yuchang(College of Computer and Data Science,Fuzhou University,Fuzhou 350116,China;Engineering Research Center of Big Data Intelligence,Ministry of Education,Fuzhou 350002,China;Fujian Key Laboratory of Network Computing and Intelligent Information Processing,Fuzhou University,Fuzhou 350116,China;Fujian Province University Key Laboratory of Computational Science,School of Mathematical Sciences,Huaqiao University,Quanzhou 362021,China)

机构地区：[1]福州大学计算机与大数据学院,福州350116 [2]大数据智能教育部工程研究中心,福州350002 [3]福州大学福建省网络计算与智能信息处理重点实验室,福州350116 [4]华侨大学数学科学学院计算科学福建省高校重点实验室,泉州362021

出　　处：《集成技术》2024年第4期16-29,共14页Journal of Integration Technology

基　　金：国家自然科学基金项目(62072108);福厦泉国家自主创新示范区协同创新平台项目(2022FX5);福建省财政厅科研专项(83021094);福建省科技经济融合服务平台项目(2023XRH001);福建省促进海洋与渔业产业高质量发展专项(FJHYF-ZH-2023-02)。

摘　　要：针对目前智能家居服务管控技术存在的标准缺失和用户需求多样化问题,作者提出一种时空数据驱动的智能家居服务管控方法。该方法包括构建智能家居时序知识图谱和基于联邦学习的智能家居服务管控方法。通过记录智能家居场景中概念实例的状态,时序知识图谱提供了环境变化和服务状态的时序数据支持。通过联邦学习算法,结合不同家庭的模型参数,该方法可更新个性化模型和预测智能家居服务状态。实验结果表明,该方法可有效管控智能家居设备,并可准确满足用户需求,具有高准确度和较快的收敛速度。Addressing the current issues of lacking standards and diverse user demands in smart home service 17management,this paper proposes a spatio-temporal data-driven control method for smart home service.The method involves constructing a temporal knowledge graph for smart home and utilizing a federated learning-based approach for smart home service management.By capturing the state of concept instances in smart home scenarios,the temporal knowledge graph provides temporal data on environmental changes and service statuses.Leveraging federated learning algorithms that amalgamate model parameters from various households enables personalized model updates and predictions of smart home service statuses.Experimental results demonstrate the method’s effectiveness in controlling smart home devices,accurately meeting user demands with high precision and rapid convergence speed.

关 键 词：智能家居 知识图谱 运行时模型 联邦学习 物联网 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]