In order to realize the timing matching and disposing of the main alarm information of the hydropower centralized control platform, a timing matching and disposing model was constructed based on Python data visualization. The model transmitted the fault information of hydropower station equipment to the receiver of hydropower centralized control platform by using communication server, and the fault alarm sequence was generated. After matching the main fault alarm information according to the time sequence matching rules in the domain expert matching rule base, state function and state change function were used to analyze the time sequence characteristics. Then the mapping table was used to describe the timing characteristics of the main alarm information. After analyzing the timing characteristics of the main alarm information, the timing matching and disposal of the main alarm information in the hydropower centralized control platform were realized. Experimental results show that the model has good visualization ability of main alarm information, and the coverage rate of main alarm information crawled by the model is up to 98.99%. The model has higher Pearson correlation coefficient and better ability to deal with the main alarm information.
| 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 |