Digital prefabricated pump station and digital control system

Through the dynamic adjustment of multiple parameters of the perception and judgment module and the pump-valve coordination module, the problems of misjudgment of abnormal working conditions and high energy consumption in the existing prefabricated pump station control system are solved, and more efficient pump station operation and intelligent optimization are achieved.

CN120762335AActive Publication Date: 2025-10-10SHANGHAI PANDA MACHINEGRP CO LTD
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Patent Information

Application Number
CN202511270333.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-08
Publication Date
2025-10-10
Estimated Expiration
2045-09-08

AI Technical Summary

Technical Problem

The control systems of existing prefabricated pump stations lack multi-parameter collaborative analysis, resulting in a high misjudgment rate for abnormal operating conditions, excessive energy consumption, and failure to effectively optimize the adjustment of pump group speed and valve opening, leading to increased equipment losses.

Method used

Multi-dimensional perception data is obtained through the perception and judgment module. Combined with the long-short-term memory network and particle swarm optimization algorithm, multi-parameter dynamic adjustment of the pump-valve collaboration module is realized, the pump group speed and valve opening are optimized, and graded pump start and stop instructions are generated to reduce energy consumption.

Benefits of technology

It improves the accuracy of abnormal working condition judgment, reduces equipment loss and energy consumption, improves system response speed and operation stability, and supports unmanned and remote operation and maintenance.

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Abstract

The invention relates to the technical field of digital control, and provides a digital prefabricated pump station and a digital control system.Perception data of liquid level height, pressure difference, pump set flow, blockage displacement and pipeline vibration are obtained through a perception judgment module, abnormal working conditions are comprehensively judged, limitation of parameter judgment is overcome, and a reliable basis is provided for follow-up control; the pump-valve cooperation module dynamically adjusts the opening degree of a valve through multiple parameters, optimizes the expansion amount of flexible connection in combination with pipeline vibration and blocking displacement, and cooperatively adjusts the rotating speed of a pump set based on the liquid level height, the flow of the pump set and the blocking displacement, so that linkage control over the pump, the valve and the pipeline is achieved. The energy efficiency optimization module achieves accurate prediction of the liquid level through long and short term memory network processing, optimizes the valve opening degree and the pump set rotating speed by combining a particle swarm optimization algorithm and taking pump efficiency maximization as a target, dynamically generates an optimized pump stopping liquid level, and meanwhile adjusts network parameters through deviation feedback of a predicted value and an optimized value to form a continuously optimized closed loop.
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