Gate opening adaptive control method and system based on resonance risk dynamic assessment
By dynamically adjusting the monitoring density and opening control, combined with historical data and trend models, the problems of insufficient resonance risk identification and lag in the existing gate control methods are solved, and accurate assessment and active prevention of resonance risks are achieved, and the service life of the equipment is extended.
CN120447399AActive Publication Date: 2025-08-08云南华电金沙江中游水电开发有限公司
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Patent Information
- Application Number
- CN202510944969.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-09
- Publication Date
- 2025-08-08
- Estimated Expiration
- 2045-07-09
AI Technical Summary
Technical Problem
Existing gate control methods cannot effectively identify the dynamic impact of the change rate of water flow amplitude on resonance risk, and responsive control strategies are difficult to cope with sudden water flow disturbances, resulting in insufficient control accuracy, malfunctions or missing alarms.
Method used
By obtaining the deviation degree of historical water flow frequency and gate frequency, combining prediction models and trend models, dynamically adjusting monitoring density and opening control, we can achieve accurate assessment and active prevention of resonance risks.
Benefits of technology
Accurate assessment and active prevention of resonance risks are achieved, response lag and malfunctions are avoided, and equipment service life is extended.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses a gate opening adaptive control method and system based on resonance risk dynamic assessment, and relates to the technical field of data processing, and the method comprises the steps: obtaining a current time point, obtaining a processing time period, and obtaining a historical water flow frequency and a historical gate frequency; obtaining a deviation degree corresponding to each to-be-processed time point, obtaining a gradient correction value corresponding to the current time point based on the prediction model and the deviation degrees corresponding to the plurality of to-be-processed time points, and obtaining a trend correction value corresponding to the current time point based on the trend model and the deviation degrees corresponding to the plurality of to-be-processed time points; obtaining the current water flow frequency and the current gate frequency at the current time point, and obtaining a risk index according to the current water flow frequency and the current gate frequency; and a target opening degree is obtained according to the risk index, the gradient correction value and the trend correction value, and the gate is controlled to be opened according to the target opening degree. The method has the advantages of dynamic perception, trend prediction and adaptive control.
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