家电科技 ›› 2026, Vol. 0 ›› Issue (5): 26-31.doi: 10.19784/j.cnki.issn1672-0172.2025.05.003

• 论文 • 上一篇    下一篇

基于ST-GT的智能家电产品风险场景构建方法研究

黄国忠1,2, 左志勇1,2, 陈寒熙格1,2, 赵鹏3, 闫凌3, 邓立4, 邓青1,2   

  1. 1.北京科技大学 土木与资源工程学院 北京 100083;
    2.北京科技大学 大安全科学研究院 北京 100083;
    3.中国家用电器研究院 北京 100053;
    4.中南建筑设计院股份有限公司 湖北武汉 430071
  • 出版日期:2025-10-01 发布日期:2026-02-10
  • 通讯作者: 邓青,E-mail:dengqing0415@126.com
  • 作者简介:黄国忠,工学博士学位。研究方向:产品缺陷判定与风险评估。地址:北京市海淀区学院路30号北京科技大学。E-mail:hjxhuanggz@163.com。
  • 基金资助:
    国家重点研发计划项目(2022YFF0607100)

Research on risk scenario construction method for smart home appliances based on ST-GT

HUANG Guozhong1,2, ZUO Zhiyong1,2, CHEN Hanxige1,2, ZHAO Peng3, YAN Ling3, DENG Li4, DENG Qing1,2   

  1. 1. School of Civil and Resource Engineering University of Science and Technology Beijing 100083;
    2. Research Institute of Macro-Safety Science University of Science and Technology Beijing 100083;
    3. China Household Electric Appliances Research Institute Beijing 100053;
    4. Central South Architectural Design Institute Co., Ltd. Wuhan 430071
  • Online:2025-10-01 Published:2026-02-10

摘要: 提出了基于“场景理论-扎根理论”的智能家电产品风险场景构建框架,并以扫地机器人为例得到了扫地机器人风险场景模型。构建了“主范畴-副范畴”双层理论框架,共包含5个主范畴(用户、设备、环境、数据流和风险)、18个副范畴,系统揭示了“用户-设备-环境-数据流-风险”的层级化交互路径。研究发现多因素交互致险,用户行为是关键诱因,环境影响广泛,数据流安全至关重要。该框架为智能家电风险识别提供了结构化的理论模型,强化了风险防控的系统性和可操作性。

关键词: 场景理论, 智能家电, 扎根理论, 场景构建, 扫地机器人

Abstract: A risk scenario construction framework is proposed for smart home appliances based on the integration of Scenario Theory and Grounded Theory. Taking sweeping robots as a case study, we developed a dual-layer theoretical framework of "main categories-sub-categories", comprising 5 main categories (User, Device, Environment, Data Flow, and Risk) and 18 sub-categories. The framework systematically reveals the hierarchical interaction path of "User-Device-Environment-Data Flow-Risk". The research findings indicate that risk emergence stems from multi-factor interactions, with user behavior as the primary trigger, environmental factors exhibiting broad influence, and data flow security being critically significant. The model provides a structured theoretical foundation for risk identification in smart home appliances, enhancing the systematic design and operational effectiveness of risk prevention strategies.

Key words: Scene theory, Smart home appliances, Grounded theory, Scene construction, Sweeping robot

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