Full
Outline
At present, the traditional total ventilation control method on the fully mechanized heading face fails to realize dynamic control of dust reduction, and the ventilation environment in the area of personnel activity is not considered in the dust reduction process, resulting in dust accumulation. Therefore, a finite element calculation model was established for the coupling of air flow and dust gas-solid, and underground verification was conducted. According to the dust migration and distribution law and the activity range of underground personnel, different areas of personnel activity were divided. The dust mass concentration sample data under different airflow intelligent control schemes were obtained by simulation, and the data were discretized by K-means algorithm. Based on the immune genetic algorithm, the dust reduction scheme was used as the antibody, and the dust mass concentration in different areas of personnel activity was used as the antigen. The acquisition algorithm of the intelligent control of air flow and dust reduction scheme for the different areas of personnel activity were compiled. Taking a mine in northern Shaanxi Province as the research object, the optimal dust reduction scheme for the personnel in the dust accumulation area (in the range of 5−15 m) is 1.2 m outlet aperture, 5° horizontal deflection, and 5 m from the head. The dust reduction effect of the scheme was tested and verified. The result show that, after the application on the experimental platform, the average dust mass concentration in dust accumulation area is reduced from 163.77 mg/m3 to 91.32 mg/m3, which is reduced by 44.24%; the dust concentration at the driver's position is reduced from 161.94 mg/m3 to 78.90 mg/m3, which is reduced by 51.28%. After the application in underground, the average dust mass concentration in dust accumulation area is reduced from 182.81 mg/m3 to 113.94 mg/m3, which is reduced by 37.67%; the dust mass concentration at the driver's position is reduced from 179.65 mg/m3 to 101.27 mg/m3, which is reduced by 43.63%.
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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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