Industrial double-suction centrifugal pump intelligent control system and method

By collecting and analyzing operating parameters, and combining multi-model fusion to determine the main control unit fault and perform seamless switching, the failure risk of industrial double-suction centrifugal pumps in harsh environments has been resolved, and the system has achieved stable operation and accurate fault identification.

CN122407572APending Publication Date: 2026-07-17安徽凡新泵业有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
安徽凡新泵业有限公司
Filing Date
2026-04-21
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing industrial dual-suction centrifugal pump control systems have a high risk of failure in harsh environments, which can lead to pump unit malfunction, potentially causing production interruptions or safety accidents. Traditional control modes cannot meet the needs of industrial systems for cost reduction, efficiency improvement, and safe and stable operation.

Method used

The system employs a data acquisition module, a hardware control module, and a diagnostic driver module. By collecting operating parameters and control parameters, it analyzes the data using the phase-locked loop phase error identification model, the Lyapunov stability divergence model, and the wavelet packet transform distortion energy ratio model. Combined with the DS evidence theory multi-source conflict evidence fusion model, it achieves accurate fault determination of the main control unit and seamless switching through a parallel computing main and backup control unit structure.

Benefits of technology

It improves the anti-interference capability and accuracy of fault identification, avoids erroneous switching and missed switching caused by single parameter interference, and ensures the continuous and stable operation of the pump unit.

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Abstract

The present application relates to the field of industrial control technology, in particular to an intelligent control system and method for an industrial double-suction centrifugal pump. The present application acquires a time sequence deviation sequence, a hydraulic closed-loop residual sequence and a hardware response difference sequence, and then processes to obtain a time sequence misalignment quantitative value, an operation instability quantitative value and a hardware distortion quantitative value. Finally, the D-S evidence theory multi-source conflict evidence fusion model is used to realize accurate fault determination of the main control unit, avoid false switching and missed switching caused by single parameter interference, and improve the anti-interference ability and accuracy of fault identification. Through the hot backup structure of parallel operation of the main control unit and the standby control unit, the data receiving parameters are extracted, and the hot state synchronization analysis is performed to obtain synchronization state information. Finally, based on the synchronization state information, the hot state optimization execution is performed to realize seamless switching when the main control unit fails, avoid false switching in the synchronization failure state, ensure the continuous and stable operation of the pump group, and meet the operation requirements of the industrial process.
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