An artificial intelligence-based motor energy consumption management method and system
By analyzing historical task data of the motor, the optimal operating conditions were determined, and peak energy consumption and electricity usage were avoided, thus solving the problem of increased production costs caused by changes in motor energy consumption and optimizing motor energy consumption management.
CN120415229BActive Publication Date: 2026-06-09深圳宇凡微电子有限公司
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- 深圳宇凡微电子有限公司
- Filing Date
- 2025-04-25
- Publication Date
- 2026-06-09
AI Technical Summary
Technical Problem
The existing motors fail to analyze the external environment and electricity usage periods during operation, leading to changes in energy consumption and increased production costs.
Method used
By analyzing historical task data of motors using artificial intelligence-based methods, energy consumption data under different types of tasks can be determined, and stage and condition analysis can be performed to adjust the optimal operating conditions of the motor to avoid peak energy consumption and peak electricity demand.
Benefits of technology
This reduces motor energy consumption and saves production costs.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN120415229B_ABST
Abstract
The application discloses a motor energy consumption management method and system based on artificial intelligence, relates to the technical field of motor energy consumption management, and comprises stage analysis on energy consumption data sets of the motor under different types of tasks to determine energy consumption data of the motor under different stages of the tasks. The application firstly determines the energy consumption data sets of the motor under different types of tasks, secondly, determines the energy consumption peak, the energy consumption valley and the normal energy consumption of the motor, then, determines the best operation condition of the motor, and finally, adjusts and processes the motor needing to complete real-time tasks through the best operation condition of the motor, the energy consumption peak, the energy consumption valley and the normal energy consumption of the motor. The above-mentioned mode not only analyzes the external environment, but also analyzes the power consumption peak and the power consumption valley, so that the motor can perform the task with high energy consumption during the power consumption valley period, and meanwhile, the motor can also run under the best operation condition, abnormal loss of the motor is reduced, and production cost is saved.
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