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Outline
This paper aims to effectively integrate knowledge from metro construction quality acceptance standards and address the current issues of singular knowledge organization methods, as well as isolated and fragmented knowledge. Based on the collection of metro construction quality acceptance standards issued by national and representative municipal authorities, generative AI was employed to extract key knowledge elements. A knowledge graph was then constructed using graph database software, and a multidimensional knowledge retrieval method along with node importance evaluation were proposed. Taking the construction of metro open-cut stations as an example, the proposed methods were applied to conduct an in-depth analysis of key knowledge at various stages of quality acceptance for this unit project, and acceptance recommendations were provided. [Conclusion] The knowledge graph of metro construction quality acceptance standards can offer comprehensive knowledge support for quality acceptance, providing significant reference value for improving the knowledge management level and utilization capability of metro construction quality acceptance standards.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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