催化剂剩余寿命预测方法、装置及存储介质
By dividing power plant operating data into multiple operating conditions and performing data cleaning and filtering, a catalyst degradation model was established using potential regression and operating condition conversion methods. This solved the problem of inaccurate catalyst lifetime prediction and enabled accurate prediction of catalyst lifetime under full load.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA ENERGY INVESTMENT CORP LTD
- Filing Date
- 2022-03-02
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot accurately predict the actual lifespan of SCR denitrification catalysts, leading to uncertainty in catalyst replacement time and affecting the safe and economical operation of power plants.
By dividing the historical operating data of the unit into multiple operating conditions, and using the potential regression of a single operating condition and the potential conversion method between different operating conditions, a catalyst potential decay model is established to calculate the remaining catalyst life under each operating condition.
It enables catalyst lifetime prediction that covers all operating conditions with limited sample data. The prediction results are similar to those of laboratory tests, providing guidance for full-load operation.
Smart Images
Figure CN116738647B_ABST