一种氢氟酸生产数据分析及监测方法
By obtaining the variance of process parameters in the hydrofluoric acid production process and constructing feature vectors for time-series decomposition, the problem of pollutant emissions in the hydrofluoric acid production process was solved, realizing automated monitoring and anomaly identification of the production process, and improving production stability and the predictability of environmental indicators.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- WUXI DONGFENG NEW ENERGY TECH CO LTD
- Filing Date
- 2025-09-23
- Publication Date
- 2026-07-17
AI Technical Summary
The waste gas, wastewater, and solid waste generated during the production of hydrofluoric acid pose potential threats to the environment and human health. Furthermore, process parameters affect the concentration of pollutants after production, necessitating effective monitoring and analysis of production data to reduce pollution.
By acquiring the real-time variance of multiple process parameters, the production stability value is determined. The time series is decomposed using dynamic smoothing parameters, a feature vector is constructed, and compared with a preset threshold to achieve automated monitoring and anomaly identification of the hydrofluoric acid production process.
It enables automated monitoring of the hydrofluoric acid production process, allowing for timely identification of abnormalities, improving the stability of the production process and the predictability of environmental indicators, and reducing pollutant emissions.
Smart Images
Figure CN121281672B_ABST