Construction and application of a knowledge graph for the spatial arrangement of underground powerhouses
Many parameters and complex boundaries are involved in the spatial arrangement of an underground powerhouse in a hydropower station, necessitating referencing many relevant cases and specifications. However, in practical applications, retrieving such cases or specifications is difficult, and there i...
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| Format: | Article |
| Language: | English |
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Tsinghua University Press
2024-09-01
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| Series: | Journal of Intelligent Construction |
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| Online Access: | https://www.sciopen.com/article/10.26599/JIC.2024.9180026 |
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| _version_ | 1846150290403753984 |
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| author | Han Liu Zongliang Zhang He Jia Siteng Zhang Lei Yan Zhiyong Zhao |
| author_facet | Han Liu Zongliang Zhang He Jia Siteng Zhang Lei Yan Zhiyong Zhao |
| author_sort | Han Liu |
| collection | DOAJ |
| description | Many parameters and complex boundaries are involved in the spatial arrangement of an underground powerhouse in a hydropower station, necessitating referencing many relevant cases and specifications. However, in practical applications, retrieving such cases or specifications is difficult, and there is a lack of knowledge regarding cascading logic among design parameters. To address this issue, this study proposes a novel methodology for constructing a targeted knowledge graph, in this case, a knowledge graph for building information modeling (BIM) for underground powerhouses in hydropower plants. Subsequently, based on this knowledge graph, this study develops a question-and-answer (Q&A) system to facilitate subsequent applications. First, the ontology skeleton of the spatial arrangement design of an underground powerhouse in a hydropower station, that represents the knowledge organization structure of the knowledge graph, is constructed by carefully analyzing the requirements for intelligent modeling of underground powerhouses. A large volume of unstructured data is identified based on the optical character recognition (OCR) technology; the collected data are divided into words to extract correlation knowledge using THU Lexical Analyzer for Chinese (THULAC). Subsequently, the knowledge triad of the spatial arrangement of the underground powerhouse is extracted based on ChatGPT and stored in Neo4j, a knowledge base, to build a knowledge graph. Finally, the knowledge graph is employed to realize the query of knowledge and parameter recommendation to assist the digital intelligent design of the spatial arrangement of an underground powerhouse in a pumped storage hydropower station. |
| format | Article |
| id | doaj-art-0c9f302fae564cec99607c2df22ef2fe |
| institution | Kabale University |
| issn | 2958-3861 2958-2652 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Journal of Intelligent Construction |
| spelling | doaj-art-0c9f302fae564cec99607c2df22ef2fe2024-11-29T01:27:40ZengTsinghua University PressJournal of Intelligent Construction2958-38612958-26522024-09-0123918002610.26599/JIC.2024.9180026Construction and application of a knowledge graph for the spatial arrangement of underground powerhousesHan Liu0Zongliang Zhang1He Jia2Siteng Zhang3Lei Yan4Zhiyong Zhao5State Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation, Tianjin University, Tianjin 300072, ChinaPowerChina Kunming Engineering Corporation Limited, Kunming 650051, ChinaState Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation, Tianjin University, Tianjin 300072, ChinaChina Architectural Design & Research Group, Beijing 100044, ChinaPowerChina Kunming Engineering Corporation Limited, Kunming 650051, ChinaPowerChina Kunming Engineering Corporation Limited, Kunming 650051, ChinaMany parameters and complex boundaries are involved in the spatial arrangement of an underground powerhouse in a hydropower station, necessitating referencing many relevant cases and specifications. However, in practical applications, retrieving such cases or specifications is difficult, and there is a lack of knowledge regarding cascading logic among design parameters. To address this issue, this study proposes a novel methodology for constructing a targeted knowledge graph, in this case, a knowledge graph for building information modeling (BIM) for underground powerhouses in hydropower plants. Subsequently, based on this knowledge graph, this study develops a question-and-answer (Q&A) system to facilitate subsequent applications. First, the ontology skeleton of the spatial arrangement design of an underground powerhouse in a hydropower station, that represents the knowledge organization structure of the knowledge graph, is constructed by carefully analyzing the requirements for intelligent modeling of underground powerhouses. A large volume of unstructured data is identified based on the optical character recognition (OCR) technology; the collected data are divided into words to extract correlation knowledge using THU Lexical Analyzer for Chinese (THULAC). Subsequently, the knowledge triad of the spatial arrangement of the underground powerhouse is extracted based on ChatGPT and stored in Neo4j, a knowledge base, to build a knowledge graph. Finally, the knowledge graph is employed to realize the query of knowledge and parameter recommendation to assist the digital intelligent design of the spatial arrangement of an underground powerhouse in a pumped storage hydropower station.https://www.sciopen.com/article/10.26599/JIC.2024.9180026knowledge graphunderground powerhousespatial arrangementdigital intelligent design |
| spellingShingle | Han Liu Zongliang Zhang He Jia Siteng Zhang Lei Yan Zhiyong Zhao Construction and application of a knowledge graph for the spatial arrangement of underground powerhouses Journal of Intelligent Construction knowledge graph underground powerhouse spatial arrangement digital intelligent design |
| title | Construction and application of a knowledge graph for the spatial arrangement of underground powerhouses |
| title_full | Construction and application of a knowledge graph for the spatial arrangement of underground powerhouses |
| title_fullStr | Construction and application of a knowledge graph for the spatial arrangement of underground powerhouses |
| title_full_unstemmed | Construction and application of a knowledge graph for the spatial arrangement of underground powerhouses |
| title_short | Construction and application of a knowledge graph for the spatial arrangement of underground powerhouses |
| title_sort | construction and application of a knowledge graph for the spatial arrangement of underground powerhouses |
| topic | knowledge graph underground powerhouse spatial arrangement digital intelligent design |
| url | https://www.sciopen.com/article/10.26599/JIC.2024.9180026 |
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