A Genetic Algorithm-Based Energy Saving Optimization Method for Centrifugal Pumps under Multiple Working Conditions
A technology of genetic algorithm and optimization method, which is applied in the field of multi-working condition energy-saving optimization of centrifugal pumps, can solve problems such as high dependence on engineer experience, achieve the effects of avoiding premature population, improving stability and optimization efficiency, and avoiding misleading
Active Publication Date: 2021-11-16
SHANGHAI KAIQUAN PUMP IND GROUP
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However, at this stage, traditional theories and design methods are highly dependent on the experience of engineers, and the results of optimal design have certain limitations and contingencies.
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[0034] Example: A multi-objective optimization case of a centrifugal pump impeller.
[0035] The original design speed of this centrifugal pump is 1450rpm, the design lift is 12.25m, and the design flow rate is 0.222 m 3 / s, shaft power 34.0kW. In the actual use process, the service time of the water pump is mainly concentrated in the flow condition of 0.9 times to 1.0 times. Therefore, this optimization chooses these two typical working conditions as the target.
[0036] The first step is to establish a parameter system. number of blades The shape of the meridian channel adopts the geometric topology of straight line, arc and straight line, and the geometric topology of the inlet side adopts the geometric topology of straight line, so the parameters of the meridian channel can be expressed as hub diameter, inlet diameter, outlet diameter, outlet width, front cover outlet inclination angle , the arc radius of the front cover, the outlet inclination of the rear cover, the ...
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The invention relates to a multi-working-condition energy-saving optimization method for a centrifugal pump based on a genetic algorithm; the method is specially adapted for the application of artificial intelligence technology in the energy-saving optimization of a centrifugal pump, and the method has good stability and high calculation efficiency. The main steps of the method are: 1. Establish the geometric parameter system of the impeller. 2. Determine the variation range of parameters according to experience to form a design space. 3. According to the blade number variable, the total design space is divided into several independent design subspaces. 4. Check the rationality of the geometric parameter range. 5. Establish a fitness evaluation method based on shaft power. 6. Use the genetic algorithm to optimize until it converges. 7. Keep some better solutions, randomly keep some eliminated solutions, and start the next round of genetic algorithm optimization. 8. In each independent subspace, repeat steps 4‑7. 9. If the result is satisfactory, then end, otherwise go to step 2 and modify the parameter variation range.
Description
technical field [0001] The present invention relates to a multi-working-condition energy-saving optimization method for a centrifugal pump, in particular to a centrifugal pump based on a genetic algorithm that has been specially adapted for the implementation of artificial intelligence technology in the energy-saving optimization of a centrifugal pump. The method has good stability and high calculation efficiency. Multi-working condition energy-saving optimization method. Background technique [0002] Water pump is a kind of impeller machinery, which is widely used power equipment in agriculture and industry. But relatively speaking, the technical development of water pumps in my country is relatively backward in impeller machinery. Many problems remain, especially with regard to energy efficiency. [0003] It is also because of this that energy saving and emission reduction have great significance and great potential in the field of pump manufacturing and pump station ren...
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IPC IPC(8): G06Q50/00F04D29/24F04D15/00
CPCF04D15/0088F04D29/24G06Q50/00Y02P80/10
Inventor 王凡芦洪钟刘亮亮靳雪松杨维朔
Owner SHANGHAI KAIQUAN PUMP IND GROUP