In the geological exploration of mineral resources, the work of hydraulic environment geology is of great significance to improve the exploration effect and strengthen the exploration level. In this paper, the theoret...In the geological exploration of mineral resources, the work of hydraulic environment geology is of great significance to improve the exploration effect and strengthen the exploration level. In this paper, the theoretical concept of hydro-engineering-environment geology is expounded firstly;the practical application process of hydro-engineering-environment geology construction technology in mineral geological exploration is analyzed;and finally the analysis and management countermeasures of hydro-engineering-environment geology construction in mineral geological exploration are put forward for reference.展开更多
Artificial intelligence(AI) is the key to mining and enhancing the value of big data, and knowledge graph is one of the important cornerstones of artificial intelligence, which is the core foundation for the integrati...Artificial intelligence(AI) is the key to mining and enhancing the value of big data, and knowledge graph is one of the important cornerstones of artificial intelligence, which is the core foundation for the integration of statistical and physical representations. Named entity recognition is a fundamental research task for building knowledge graphs, which needs to be supported by a high-quality corpus, and currently there is a lack of high-quality named entity recognition corpus in the field of geology, especially in Chinese. In this paper, based on the conceptual structure of geological ontology and the analysis of the characteristics of geological texts, a classification system of geological named entity types is designed with the guidance and participation of geological experts, a corresponding annotation specification is formulated, an annotation tool is developed, and the first named entity recognition corpus for the geological domain is annotated based on real geological reports. The total number of words annotated was 698 512 and the number of entities was 23 345. The paper also explores the feasibility of a model pre-annotation strategy and presents a statistical analysis of the distribution of technical and term categories across genres and the consistency of corpus annotation. Based on this corpus, a Lite Bidirectional Encoder Representations from Transformers(ALBERT)-Bi-directional Long Short-Term Memory(BiLSTM)-Conditional Random Fields(CRF) and ALBERT-BiLSTM models are selected for experiments, and the results show that the F1-scores of the recognition performance of the two models reach 0.75 and 0.65 respectively, providing a corpus basis and technical support for information extraction in the field of geology.展开更多
Ground condition and construction （excavation and support） time and costs are the key factors in decision-making during planning and design phases of a tunnel project. An innovative methodology for probabilistic est...Ground condition and construction （excavation and support） time and costs are the key factors in decision-making during planning and design phases of a tunnel project. An innovative methodology for probabilistic estimation of ground condition and construction time and costs is proposed, which is an integration of the ground prediction approach based on Markov process, and the time and cost variance analysis based on Monte-Carlo （MC） simulation. The former provides the probabilistic description of ground classification along tunnel alignment according to the geological information revealed from geological profile and boreholes. The latter provides the probabilistic description of the expected construction time and costs for each operation according to the survey feedbacks from experts. Then an engineering application to Hamro tunnel is presented to demonstrate how the ground condition and the construction time and costs are estimated in a probabilistic way. In most items, in order to estimate the data needed for this methodology, a number of questionnaires are distributed among the tunneling experts and finally the mean values of the respondents are applied. These facilitate both the owners and the contractors to be aware of the risk that they should carry before construction, and are useful for both tendering and bidding.展开更多
With the increase of the importance of geological exploration in China, the study of hydrogeology in modern engineering exploration status is more and more important. In recent years, with the emergence of energy shor...With the increase of the importance of geological exploration in China, the study of hydrogeology in modern engineering exploration status is more and more important. In recent years, with the emergence of energy shortage in China, nationwide attention to hydrogeological conditions is becoming more and more important. Under this condition, this paper analyzes the evaluation content of hydrogeological conditions in geological drilling construction, for reference only.展开更多
文摘In the geological exploration of mineral resources, the work of hydraulic environment geology is of great significance to improve the exploration effect and strengthen the exploration level. In this paper, the theoretical concept of hydro-engineering-environment geology is expounded firstly;the practical application process of hydro-engineering-environment geology construction technology in mineral geological exploration is analyzed;and finally the analysis and management countermeasures of hydro-engineering-environment geology construction in mineral geological exploration are put forward for reference.
基金the IUGS Deep-time Digital Earth (DDE) Big Science Programfinancially supported by the National Key R&D Program of China (No.2022YFF0711601)+4 种基金the Natural Science Foundation of Hubei Province of China (No.2022CFB640)the Opening Fund of Key Laboratory of Geological Survey and Evaluation of Ministry of Education (No.GLAB 2023ZR01)the Fundamental Research Funds for the Central Universities,State Key Laboratory of Geo-Information Engineering and Key Laboratory of Surveying and Mapping Science and Geospatial Information Technology of MNR,Chinese Academy of Surveying and Mapping (No.2022-03-08)the Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities,MNR (NO.KFKT-2022-02)the Project of Chengdu Municipal Bureau of Planning and Natural Resources (No.5101012018002703)。
文摘Artificial intelligence(AI) is the key to mining and enhancing the value of big data, and knowledge graph is one of the important cornerstones of artificial intelligence, which is the core foundation for the integration of statistical and physical representations. Named entity recognition is a fundamental research task for building knowledge graphs, which needs to be supported by a high-quality corpus, and currently there is a lack of high-quality named entity recognition corpus in the field of geology, especially in Chinese. In this paper, based on the conceptual structure of geological ontology and the analysis of the characteristics of geological texts, a classification system of geological named entity types is designed with the guidance and participation of geological experts, a corresponding annotation specification is formulated, an annotation tool is developed, and the first named entity recognition corpus for the geological domain is annotated based on real geological reports. The total number of words annotated was 698 512 and the number of entities was 23 345. The paper also explores the feasibility of a model pre-annotation strategy and presents a statistical analysis of the distribution of technical and term categories across genres and the consistency of corpus annotation. Based on this corpus, a Lite Bidirectional Encoder Representations from Transformers(ALBERT)-Bi-directional Long Short-Term Memory(BiLSTM)-Conditional Random Fields(CRF) and ALBERT-BiLSTM models are selected for experiments, and the results show that the F1-scores of the recognition performance of the two models reach 0.75 and 0.65 respectively, providing a corpus basis and technical support for information extraction in the field of geology.
文摘Ground condition and construction （excavation and support） time and costs are the key factors in decision-making during planning and design phases of a tunnel project. An innovative methodology for probabilistic estimation of ground condition and construction time and costs is proposed, which is an integration of the ground prediction approach based on Markov process, and the time and cost variance analysis based on Monte-Carlo （MC） simulation. The former provides the probabilistic description of ground classification along tunnel alignment according to the geological information revealed from geological profile and boreholes. The latter provides the probabilistic description of the expected construction time and costs for each operation according to the survey feedbacks from experts. Then an engineering application to Hamro tunnel is presented to demonstrate how the ground condition and the construction time and costs are estimated in a probabilistic way. In most items, in order to estimate the data needed for this methodology, a number of questionnaires are distributed among the tunneling experts and finally the mean values of the respondents are applied. These facilitate both the owners and the contractors to be aware of the risk that they should carry before construction, and are useful for both tendering and bidding.
文摘With the increase of the importance of geological exploration in China, the study of hydrogeology in modern engineering exploration status is more and more important. In recent years, with the emergence of energy shortage in China, nationwide attention to hydrogeological conditions is becoming more and more important. Under this condition, this paper analyzes the evaluation content of hydrogeological conditions in geological drilling construction, for reference only.
