The reporter learned that 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 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 deeply integrated “information dimension” and “intelligent logic”, innovatively proposed a four-in-one quality and safety analysis framework of “people-product-environment-information”, and established a multi-level and scalable ontology model.
This innovation fundamentally breaks the limitations of the traditional “man-machine-environment” model in dealing with intelligent interconnection risks.
The traditional “man-machine-environment” model has gradually exposed its shortcomings in the era of intelligent interconnection because it does not fully take into account the information dimension and the important role of intelligent logic in product quality and safety.
The new analysis framework organically combines the four key elements of people, products, environment and information, providing a more scientific and effective method for comprehensive and in-depth analysis of intelligent product quality and safety risks.
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 sources – safety incidents – control measures”, making the analysis and management of smart product quality and safety risks more systematic and accurate.
This knowledge base system has functions such as risk visualization and intelligent decision-making question and answer.
The risk visualization function can display complex risk information in the form of intuitive charts, graphs, etc., allowing regulators and enterprises to quickly and clearly understand the risks of products.
The intelligent decision-making Q&A function can quickly provide accurate decision-making suggestions based on questions raised by users, providing strong support for the research and development of technologies such as intelligent interconnection failure mechanisms and fault-tolerant control, and smart home health and safety evaluation.
Through this knowledge base system, precise risk management and control from the underlying key components to the overall system architecture is achieved.
At present, the research results have been implemented on a pilot basis, which has significantly improved the company’s early identification and rapid response to potential risks.
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, promotion and application of this knowledge base system, the competitiveness of my country’s intelligent products in the international market will be further enhanced, laying a solid foundation for the healthy development of my country’s intelligent industry.
