Mechanical and electrical equipment energy-saving management and control system and method based on intelligent monitoring

By performing low-pass filtering and excitation effectiveness prediction on the sensor data stream of electromechanical equipment, extracting physical features and performing linearization transformation, and combining the variable forgetting factor and gain vector for real-time updating and projection correction of model parameters, the problem of model drift after aging of electromechanical equipment is solved, and precise energy-saving control is achieved throughout the entire life cycle.

CN122018334BActive Publication Date: 2026-06-26ZHEJIANG JIUSUO PHOTOELECTRIC ENG TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ZHEJIANG JIUSUO PHOTOELECTRIC ENG TECH CO LTD
Filing Date
2026-04-10
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing energy-saving management technologies for electromechanical equipment lack an online, automated "residual observation-parameter correction" closed-loop mechanism, leading to model parameter drift after equipment aging, which prevents precise energy-saving control and results in energy waste.

Method used

By performing low-pass filtering and excitation effectiveness prediction on the sensor data stream of electromechanical equipment, extracting physical features and performing linearization transformation, and combining the variable forgetting factor and gain vector to update and correct the model parameters in real time, an adaptive energy efficiency prediction model is constructed for global optimization.

Benefits of technology

It achieves precise energy-saving control throughout the entire life cycle of electromechanical equipment, ensuring that model parameters are always within the physically feasible domain, thus avoiding model mismatch and energy waste.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses an electromechanical equipment energy-saving management and control system and method based on intelligent monitoring, relates to the field of intelligent energy-saving management and control, and first filters original sensor data and judges excitation effectiveness, and screens out data with parameter identification value. On the basis, regression characteristic vectors representing current physical states of equipment are established through physical characteristic extraction and linear conversion. Then, a variable forgetting factor dynamic adjustment algorithm gain based on posterior error is used to track time-varying model parameters, and a projection correction mechanism under physical constraints is introduced, so that the updated parameters are always located in a reasonable physical feasible region. Finally, global optimization is carried out under working condition constraints based on the real-time corrected adaptive energy efficiency model, so that the control model can accurately follow the aging process of the equipment, and accurate energy-saving control in the whole life cycle is realized.
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