基于标准结构化数据的TBT异构评估模型研究OA

[Objective]Taking standard structured data as the technical means,this paper focuses on the heterogeneous data of Technical Barriers to Trade(TBT)related to batteries in Europe and the United States,aiming to solve problems such as data interoperability and equivalence judgment in TBT mutual recognition,improve the accuracy of identifying differences between European and American regulations and the precision of battery data adaptation,improve the theoretical system of TBT mutual recognition,and provide practical references for enhancing the level of cross-border trade facilitation.[Methods]A heterogeneity analysis scheme based on standard structured data is proposed.Its core is to establish a structured parsing,mapping and adaptation mechanism for standards and regulations,construct a structured data-driven TBT heterogeneity evaluation model(SSTD-TBT Model),convert the TBT standards and regulations related to batteries in Europe and the United States into machine-readable and computable structured data,analyze the manifestations and quantitative methods of heterogeneity in standards and regulations,and deduce methods for heterogeneous data mapping and equivalence judgment.[Results]The SSTD-TBT Model has realized the conversion of TBT standards and regulations related to batteries in Europe and the United States into machine-readable and computable structured data.The proposed heterogeneous data mapping and equivalence judgment methods effectively support the identification of differences in battery data between European and American regulations,laying a foundation for improving the accuracy of relevant judgments.[Conclusion]The structured data-driven TBT heterogeneity evaluation model(SSTD-TBT Model)can effectively improve the efficiency and accuracy of relevant data processing and judgment in TBT mutual recognition,and provide practical support for the facilitation of cross-border trade in the battery field.