一种瓦斯抽采智能决策调控方法及调控平台
By combining SVR model and PLC control, real-time intelligent control of gas extraction parameters is achieved, solving the problem of traditional gas extraction relying on manual experience and improving extraction efficiency and safety.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- 中煤能源研究院有限责任公司
- Filing Date
- 2022-10-31
- Publication Date
- 2026-07-17
AI Technical Summary
Negative pressure control during gas extraction relies on human experience, making real-time dynamic optimization impossible. The lack of intelligent decision-making and control leads to low extraction efficiency and insufficient safety.
By employing a support vector regression (SVR) model combined with PLC control and Wincc computer configuration software, and using valve opening as a decision variable, real-time intelligent control of gas extraction parameters is achieved. This includes data acquisition, model training and prediction, and, combined with constraints and identification processes, precise control of negative pressure is realized.
It improves the efficiency and safety of gas extraction, realizes automatic control and feedback of extraction parameters, and enhances the intelligence level of the system.
Smart Images
Figure CN116050239B_ABST