In 2026, my country will receive good news in the field of smart product quality and safety.
Recently, in response to industry problems such as complex risk mechanisms of smart products and lack of basic knowledge bases, the State Administration for Market Regulation has actively organized domestic superior scientific research forces to carry out key technical research and achieved major breakthroughs in the construction of smart product quality and safety risk control knowledge bases.
The research team has demonstrated outstanding innovation capabilities in this research.
They deeply integrated the “information dimension” and “intelligent logic” and innovatively proposed a four-in-one quality and safety analysis framework of “people-product-environment-information”.
The proposal of this framework is of great significance. It establishes a multi-level and scalable ontology model, which fundamentally breaks the limitations of the traditional “man-machine-environment” model in dealing with intelligent interconnection risks.
Traditional models are often inadequate in the face of increasingly complex intelligent interconnected environments, and the emergence of new frameworks provides a more comprehensive and accurate perspective for intelligent product quality and safety analysis.
Relying on AI large language model technology, the team independently developed an iterative knowledge extraction framework.
Through this framework, a quality and safety knowledge graph covering 10 types of typical smart products, more than 50,000 pieces of basic data, 16,000 nodes and 32,000 relationships was successfully constructed.
This knowledge graph accurately depicts the causal evolution chain between “hazard source – safety incident – control measures”, providing strong data support for intelligent product quality and safety management.
The knowledge base system has functions such as risk visualization and intelligent decision-making question and answer, which provides solid support for the research and development of intelligent interconnection failure mechanisms and fault-tolerant control, smart home health and safety evaluation and other technologies.
It can achieve precise management and control of risks from underlying key components to the overall system architecture, providing a comprehensive guarantee for the quality and safety of smart products.
Currently, the research results have been put into pilot applications with remarkable results.
During the pilot process, the company’s early identification of potential risks and rapid response speed have been significantly improved.
Relevant results provide a “technical brain” for the quality and safety supervision of my country’s intelligent products, and promote my country’s intelligent products to move towards high-end and high safety.
In the future, with the continuous improvement and widespread application of this knowledge base, my country’s smart product industry is expected to usher in a safer and more efficient development situation.
This will not only enhance the competitiveness of my country’s smart products in the global market, but also bring a safer and more reliable product experience to consumers.
