一种炼钢连铸生产组织虚实系统协同优化分析的方法
By constructing a collaborative optimization analysis method for the virtual and real systems of steelmaking continuous casting production organization, the problems of information silos and response lags in traditional steelmaking continuous casting production were solved. Real-time data-driven dynamic scheduling and production optimization were achieved, improving production efficiency and equipment utilization, and reducing costs and risks.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CISDI ENGINEERING CO LTD
- Filing Date
- 2025-11-11
- Publication Date
- 2026-07-17
AI Technical Summary
In the traditional steelmaking continuous casting process, the scheduling method that relies on manual experience leads to information silos, delayed response, low equipment utilization, high production costs, many safety hazards, and unstable product quality. Existing manufacturing execution systems lack dynamic simulation and real-time optimization capabilities.
A collaborative optimization analysis method for the virtual and real systems of steelmaking continuous casting production organization is constructed. Through data acquisition, classification and analysis, simulation modeling and multi-objective optimization, a logistics simulation platform is integrated, and Plant Simulation software and intelligent algorithms are used to optimize production planning and scheduling.
It enables real-time data-driven dynamic scheduling, improves production efficiency and equipment utilization, reduces trial-and-error costs and energy consumption, ensures production stability and product quality, and provides visualized decision support.
Smart Images
Figure CN121559988B_ABST