Water pump dynamic start-stop and pressure stability control method based on working condition recognition

By improving the acoustic impedance constraint and bandgap filtering mechanism of the DCRNN model, the problem of dynamic start-up and shutdown of water pumps and pressure stability in complex pipe network systems was solved, achieving high-precision water pump control and pressure stability, and reducing the risk of system oscillation.

CN122170014APending Publication Date: 2026-06-09JIANGSU AOJIA ENVIRONMENTAL PROTECTION TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202610623986.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-08
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing water hammer defense strategies are unable to fully utilize the spatiotemporal characteristics of transient flow in complex pipeline systems, resulting in insufficient dynamic start-stop of water pumps and pressure stability, which can easily lead to system oscillations and equipment damage.

Method used

A dynamic start-stop and pressure stabilization control method for water pumps based on operating condition identification is adopted. By improving the DCRNN model, a bandgap filtering and resonant coupling diffusion mechanism with acoustic impedance constraints are introduced to extract high-dimensional physical evolution features, perform error compensation and adaptive correction, and ensure that the dynamic start-stop delay benchmark conforms to complex physical topology constraints.

Benefits of technology

It effectively eliminates frequency domain noise interference and phase misalignment, improves the accuracy of dynamic start-stop phase offset and pressure stability of water pumps, ensures the complex physical topological constraints of transient flow in the pipeline network, and improves the accuracy and stability of water pump control.

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Abstract

The invention discloses a water pump dynamic start-stop and pressure stability control method based on working condition recognition, and relates to the technical field of mechatronics and automation control, and the method comprises the following steps: S1, outputting a predicted arrival time node of a reflected wave; s2, outputting a working condition attribute tag; s3, analyzing a working condition attribute tag; s4, inputting the dynamic fluctuation characteristics and the graph topology space into an improved DCRNN model, and introducing a band gap filtering and resonance coupling diffusion mechanism based on acoustic impedance constraint to execute frequency domain filtering suppression and impedance matching coupling; s5, outputting a dynamic start-stop delay reference; s6, outputting a primary water hammer wave; s7, outputting an error compensation coefficient; and S8, performing adaptive linkage correction on the dynamic start-stop delay reference and the amplitude evolution reference. According to the method, the limitations of static threshold solidification, single semantics and neglecting of space-time coupling topological constraints of a traditional method are overcome, and an efficient solution is provided for fluid pipe network transient flow active defense.
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