家电科技 ›› 2025, Vol. 0 ›› Issue (zk): 90-93.doi: 10.19784/j.cnki.issn1672-0172.2025.99.019

• 第一部分 优秀论文 • 上一篇    下一篇

家电智能化发展及对检测行业新挑战

魏明然1, 胡亚欣1,3, 焦利敏1,3, 李红伟2,3   

  1. 1.中家院(北京)检测认证有限公司 北京 100176;
    2.中国家用电器研究院 北京 100176;
    3.国家智能家居质量检验检测中心 北京 101102
  • 发布日期:2025-12-30
  • 通讯作者: 胡亚欣,E-mail:huyx@cheari.com。
  • 作者简介:魏明然,本科学历,工程师。研究方向:家电检测和技术标准方向的研究。地址:北京通州区京经开壹中心17号楼。E-mail:weimr@cheari.com。

The intelligent development of home appliances and new challenges to the testing industry

WEI Mingran1, HU Yaxin1,3, JIAO Limin1,3, LI Hongwei2,3   

  1. 1. CHEARI(Beijing) Certification&Testing Co., Ltd. Beijing 100176;
    2. China Household Electric Appliance Research Institute Beijing 100176;
    3. National Smart Home Quality Supervision &Inspection Center Beijing 101102
  • Published:2025-12-30

摘要: 随着人工智能技术日趋成熟地应用到家电上,智能家电日新月异,尤其是加载了推理大模型的智能家电产品,变化之迅速、种类之复杂、内容之繁多,输入和输出均无定数的情况下,传统的单一、一次性测试难以科学评估智能家电的智能能力,这对检测行业提出更加艰巨的新问题、新挑战。从标准法规、检测方法与工具、检测人员三个维度进行深入探究,提出检测方法的高度适配、智能检测工具的快速适应、检测人员的融会贯通的应对方案,为面对应用交叉技术的智能家电检测行业发展提供新的方向和思路。

关键词: 智能化, 检测, 挑战

Abstract: With the increasingly sophisticated application of artificial intelligence technology in household appliances, smart appliances are evolving rapidly. This is especially true for products equipped with reasoning large models, which are characterized by swift changes, complex varieties, and diverse functionalities. Given the unpredictable inputs and outputs, traditional single, one-time testing methods are inadequate for scientifically evaluating the intelligence capabilities of smart appliances. This poses new and more challenging issues for the testing industry. An in-depth exploration from the three dimensions of standards and regulations, testing methods and tools, and testing personnel is conducted. Solutions such as highly adaptable testing methods, rapidly responsive intelligent testing tools, and versatile testing professionals are proposed, providing new directions and insights for the development of the smart appliance testing industry in the face of applied cross-cutting technologies.

Key words: Intelligent, Detect, Challenge

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