Energy Efficiency Optimization Method for Air Compressor Equipment Based on Digital Twin

By collecting and analyzing real-time signals from the air compressor, abnormal reverse energy growth is identified and corrected, restoring the true correspondence of energy consumption. This solves the problem of misaligned energy consumption characteristics and improves the energy efficiency operation stability and equipment lifespan of the air compressor.

CN122129408APending Publication Date: 2026-06-02SHANDONG RUIWO MASCH MFG CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANDONG RUIWO MASCH MFG CO LTD
Filing Date
2026-04-26
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

In the process of optimizing the energy efficiency of air compressors based on digital twins, the problem of misalignment in the inversion of energy consumption characteristics is prone to occur, leading to misjudgment of energy efficiency results, frequent system start-ups and shutdowns, causing equipment overheating and excessive energy release, which affects equipment operating efficiency and lifespan.

Method used

By collecting real-time current, power, pressure, and flow signals from the air compressor, a basis for energy change rhythm is established, abnormal segments of reverse energy growth are identified, and through time rearrangement and dynamic correction, the true correspondence between load changes and energy consumption is restored, thus avoiding the phenomenon of reverse energy consumption mapping.

Benefits of technology

It achieves a true reflection of the air compressor's operating status and energy consumption level, reduces operational fluctuations, improves equipment stability and the accuracy of energy efficiency assessment, slows down performance degradation, and enhances overall operational stability and sustainability.

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Abstract

This invention discloses a method for optimizing the energy efficiency of air compressor equipment based on digital twins, belonging to the field of air compressor equipment technology. The method includes the following steps: collecting real-time current, power, pressure, and flow signals of the air compressor at different load stages; continuously arranging the time series of the collected signals to form a basis for energy change rhythm; and based on this energy change rhythm basis, synchronously analyzing the amplitude fluctuations and phase differences between adjacent signals to identify abnormal segments where energy increases in the opposite direction within a short period. This invention corrects energy consumption misalignment problems through dynamic reference and time rearrangement of the energy change rhythm, establishing a stable correspondence between load changes and energy consumption, and improving the accuracy and reliability of energy efficiency assessment. Simultaneously, by coordinating the adjustment of the pressure output rhythm of the air compressor group, a balanced distribution of energy release on the time axis is achieved, reducing operational fluctuations and start-stop shocks, and enhancing the overall stability and continuity of operation.
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