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At present, most of the domestic parallel pump groups adopt a single-objective control model, and only pay attention to the energy efficiency optimization of operating conditions and operating costs in the process of use, and cannot adjust the operation strategy under the real-time working conditions of the pump group according to the comprehensive energy efficiency state of the pump group in the whole life cycle. A multi-objective pump group energy efficiency optimization control model can be independently adjusted according to the energy efficiency state of the current pump set in the whole life cycle. The weight coefficients of three objective functions can be autonomously adjusted, which improves the energy efficiency of the pump set throughout its life cycle and extends the life of the pump set. The objective function was determined by the ideal point value and distance deviation method. The multi-objective ideal point model was solved by LINGO. The optimal solution with the highest total system efficiency, the lowest pump group specific energy consumption and the highest system reliability was obtained. Experimental results show that the improved multi-objective ideal point model can adjust the target weight combination according to the real-time state of the pump group, so as to adjust the real-time control strategy of the pump group.
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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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