System and method for suggesting optimal operating point reflecting economic feasibility of oil refining process by using artificial intelligence model
An AI-driven system predicts refined oil product quality and optimizes operating conditions by managing variables like temperature and flow rate, addressing inefficiencies in existing refining processes by enhancing accuracy and adaptability.
Patent Information
- Application Number
- PCT/KR2025/095450
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-07-04
- Filing Date
- 2025-07-04
- Publication Date
- 2026-01-08
AI Technical Summary
The existing refining process for essential oil products lacks a systematic approach to determine optimal operating points due to reliance on operator experience, long testing cycles, and frequent changes caused by environmental factors, making it difficult to manage quality and energy yield efficiently.
A system utilizing an artificial intelligence model to predict the quality of refined oil products and provide optimal operating guidance by managing manipulable variables such as temperature, flow rate, and pressure, incorporating an objective function to maximize profit while minimizing costs.
Enables rapid and accurate prediction of refined product quality, adapts to market changes, and optimizes operating conditions for economic efficiency by integrating long-term and short-term learning patterns, facilitating visual identification of errors and improving operational efficiency.