Design and application of the dynamic management system for scientific data of the Beishan underground research laboratory
MA Ming-Qing1,2,3(), CHEN Liang1,2(), WANG Ju1,2, LI Xiao-Jun3, ZHANG Zhi-Wei4, LING Hui1,2
1. Beijing Research Institute of Uranium Geology, Beijing 100029, China 2. CAEA Innovation Center for Geological Disposal of High-Level Radioactive Waste, Beijing 100029, China 3. College of Civil Engineering, Tongji University, Shanghai 200092, China 4. Shanghai Urban-construction Information Technology Co., Ltd., Shanghai 200082, China
The construction of the Beishan underground research laboratory (URL) is a key initiative under China's 13th Five-Year Plan. During the construction and operation of the URL, extensive scientific data will be generated in field experiments. To ensure the integrity, reliability, authenticity, and traceability of these data and to ensure that researchers can manage and utilize various types of data in an efficient and convenient manner, it is necessary to develop a dynamic management system tailored for the scientific data of the URL. The purpose is to provide data support and a decision-making basis for the R&D of disposal engineering technologies and safety assessments. This study introduces the background and overall requirements for the development of the scientific data dynamic management system for the Beishan URL, proposes a general design scheme, and provides a comprehensive overview of the system's functional architecture and content. The system is primarily composed of modules for system management, system status management, basic data management, metadata management, experimental information management, experimental data management, data quality management, and data visualization. This system has been preliminarily applied to the management of field experimental processes and data for the Beishan URL, yielding encouraging results.
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MA Ming-Qing, CHEN Liang, WANG Ju, LI Xiao-Jun, ZHANG Zhi-Wei, LING Hui. Design and application of the dynamic management system for scientific data of the Beishan underground research laboratory. Geophysical and Geochemical Exploration, 2024, 48(6): 1559-1567.
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