家电科技 ›› 2025, Vol. 0 ›› Issue (zk): 168-172.doi: 10.19784/j.cnki.issn1672-0172.2025.99.035

• 第一部分 优秀论文 • 上一篇    下一篇

基于“一键拉群”联合决策技术的智慧家庭场景动态生成研究

杜永杰1,2,3,4, 张文涛1,2,3,4, 顿庆娟1,2,3,4   

  1. 1.青岛海尔科技有限公司 山东青岛 266100;
    2.数字家庭网络国家工程研究中心 山东青岛 266100;
    3.山东省智慧家庭人工智能与自然交互研究重点实验室 山东青岛 266100;
    4.青岛市智慧家庭交互与控制工程研究中心 山东青岛 266100
  • 发布日期:2025-12-30
  • 作者简介:杜永杰,博士学位。研究方向:智慧家庭。地址:山东省青岛市海尔科创生态园。E-mail:duyongjie@haier.com。

Research on dynamic generation of smart home scenarios based on “one-click group invitation” joint decision-making technology

DU Yongjie1,2,3,4, ZHANG Wentao1,2,3,4, DUN Qingjuan1,2,3,4   

  1. 1. Qingdao Haier Technology Co., Ltd. Qingdao 266100;
    2. National Engineering Research Center of Digital Home Networking Qingdao 266100;
    3. Shandong Key Laboratory of Artificial Intelligence and Natural Interaction in Smart Home Qingdao 266100;
    4. Qingdao Engineering Research Center of Smart Home Interaction and Control Qingdao 266100
  • Published:2025-12-30

摘要: 随着大模型、智能体等人工智能技术快速发展和利用大模型决策来控制智能家电场景应用,智慧家庭正在利用多智能体决策技术向“场景化”“个性化”方向演进,但目前主要存在智慧家庭场景配置复杂、设备与设备之间的通信协议割裂、对用户的意图理解偏差等问题,为此,提出一种基于大模型决策框架下利用将智能体“一键拉群”进行联合决策技术,通过MCP动态拉群、垂域大模型交互、群定义驱动决策三大创新模块,实现智慧家庭场景的动态生成与自适应调控。实验表明,该技术在跨协议通信延迟、场景适配性准确率及用户配置效率方面均优于传统方案,为智慧家庭场景的智能化升级提供了新思路。

关键词: 智慧家庭, 一键拉群, 垂域大模型, 联合决策, 场景动态生成

Abstract: With the rapid development of artificial intelligence technologies such as large models and intelligent agents, and the utilization of large model decision-making to control smart home appliance scenarios, smart homes are evolving towards “scenario-based” and “personalized” directions through multi-agent decision-making technology. However, there are currently major issues such as complex smart home scenario configurations, fragmented communication protocols between devices, and deviations in understanding user intentions. To address these issues, a joint decision-making technology based on the large model decision-making framework is proposed, utilizing “one-click group formation” for intelligent agents. Through three innovative modules: MCP dynamic group formation, vertical domain large model interaction, and group definition-driven decision-making, dynamic generation and adaptive regulation of smart home scenarios are achieved. Experiments show that this technology is superior to traditional solutions in terms of cross-protocol communication delay, scenario adaptability accuracy, and user configuration efficiency, providing new ideas for the intelligent upgrade of smart home scenarios.

Key words: Smart home, One-click group creation, Vertical domain large model, Joint decision-making, Dynamic scene generation

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