An intelligent scheduling method, system, device and medium for coordinated operation of a variable-speed multi-pump parallel system

Through simulation calculation and intelligent regulation model, the variable speed multi-pump parallel system is optimized, combined with the gold sine algorithm to improve the particle swarm algorithm and artificial neural network, the efficient and stable operation of the multi-pump parallel system is achieved, and the shortcomings of the adjustment methods in the existing technology are solved.

CN119982572BActive Publication Date: 2025-07-22XIHUA UNIV
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Patent Information

Application Number
CN202510472788.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-04-16
Publication Date
2025-07-22
Estimated Expiration
2045-04-16

AI Technical Summary

Technical Problem

The existing adjustment method of multi-pump parallel system has problems such as difficulty in quantitative decision making, inaccurate performance prediction, poor adaptability of optimization algorithms and slow response speed, resulting in insufficient improvement of equipment energy efficiency.

Method used

By calling numerical methods to simulate the performance characteristics and pipeline loss characteristics of parallel centrifugal pumps, an intelligent regulation mathematical model with the minimum total axis power as the objective function is established, and a gold sine algorithm is combined to improve the particle swarm optimization algorithm and feedforward artificial neural network to realize intelligent scheduling of a variable speed multi-pump parallel system.

Benefits of technology

It improves the energy efficiency and stability of the parallel system of variable speed multi-pumps, solves the problem of mismatch between operating conditions and demand, and reduces calculation time and power waste.

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Abstract

The present invention relates to the technical field of optimized control of centrifugal pumps, and specifically, to an intelligent scheduling method, system, device and medium for coordinated operation of a variable-speed multi-pump parallel system; the method first calls numerical methods to simulate and calculate the performance characteristics of parallel centrifugal pumps and the pipeline loss characteristics of the variable-speed multi-pump parallel system to obtain digital characteristic curves; secondly, with the minimum total shaft power as the objective function, an intelligent regulation mathematical model of the variable-speed multi-pump parallel system is established under the given demand targets and various constraint conditions of the variable-speed multi-pump parallel system; then, the particle swarm optimization algorithm is improved according to the golden sine algorithm to solve and obtain operation data; and a surrogate model is established by calling a feedforward artificial neural network to regress and predict the operation data; finally, according to the prediction results of the surrogate model, an optimal regulation scheme for the variable-speed multi-pump parallel system is obtained, which improves the energy efficiency and stability of the variable-speed multi-pump parallel system while achieving more accurate prediction of the scheduling results.
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