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To address the issues of scattered management, lack of standardization, and traditional analysis methods in the data of liquid rocket engine tests, a big data-based liquid propulsion test data analysis system has been designed. The system adopts an advanced big data architecture, combines data preprocessing technology, distributed storage, and data center modeling, forms a specialized data warehouse, optimizes data organization, retrieval, and analysis processing capabilities, and achieves comprehensive collection, efficient storage, fine management, and intuitive display of test data. Application results show that the system not only realizes the standard management and central storage of test data, but also provides functions for data analysis such as engine adjustment calculations, significantly improving data processing efficiency and analysis quality, which provides valuable exploration and practice for the digital transformation in the field of liquid propulsion and holds promising application prospects.
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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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