2019年-2023年天津市地质钻孔数据集
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企业建立钻孔数据智能规则库和数据质量智能检查的算法模型,研发数据采集传输软件和数据质量检查软件,通过智能规则库检验数据质量,提高数据完整性。在工作实施中对纸质数据进行数字化,通过AI技术智能提取信息和数据,汇集地质钻孔数据的地层、标贯、静力触探、孔性、试验等要素信息,形成钻孔数据,最后利用数据质量检查软件,基于规则库智能检查数据完整性,形成2019年-2023年天津市地质钻孔数据集。
Enterprises developed algorithmic models for establishing intelligent rule bases for borehole data and intelligent data quality inspection, as well as data acquisition and transmission software and data quality inspection software. These systems inspect data quality via the intelligent rule base to improve data integrity. During the implementation, paper-based data were digitized, and relevant information and data were intelligently extracted through AI technologies. Key information items of geological borehole data including strata, standard penetration test (SPT) results, static cone penetration test (CPT) results, borehole characteristics and test data were compiled to form standardized borehole data. Finally, the data quality inspection software was used to intelligently inspect data integrity based on the rule base, resulting in the Tianjin geological borehole dataset covering the period from 2019 to 2023.




