Full
Outline
The cold area process is the key link in production of heavy rail and section steel, its operating efficiency and level of intelligence directly affect the quality and production cost of final products. With deep implementation of the national development strategy for high-end and intelligent manufacturing industry, it has become the inevitable choice for steel enterprises to enhance their core competitiveness to improve the levels of automation and intelligence of production lines. In the article, the integrated applications of such key technologies as industrial visual recognition, precise length measurement of dynamic steel billets with laser, intelligent voice alarm and intelligent die for first-forming based on AI (artificial intelligence) are the core content as well as their implement methods and application effects are elaborated, which could provide the practical references of technology applications for intelligent transformation of the same type of production lines in the industry.
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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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