摘要
设计了一种通过对转炉冶炼噪声信号、氧枪振动信号和火焰图像信息的分析,在线实时监测炉内化渣过程、预报喷溅和返干的系统。系统主要包括声音信号采集模块、振动信号采集模块、图像采集模块、数据处理模块以及控制软件。现场实验证明,系统可以指导化渣过程,基本避免了喷溅和返干的发生,实现了平稳炼钢。
An on-line real-time system for slagging process monitoring and splashing and drying prediction is designed for basic oxygen furnaces by analyzing the noise signals in smelt process, vibration signals of oxygen lance and flame images. The system includes the sound signal collecting module, the vibration signal collecting module,the flame image collecting module, data processing module and control soft. The results of experiments show that the system can direct the slagging process, recognize the conditions to avoid slag splashing and drying basically, and stabilize steel-making.
出处
《传感器世界》
2015年第3期37-41,共5页
Sensor World
关键词
转炉炼钢
喷溅
返干
多传感器融合
converter steelmaking
splash
drying
multi- sensor fusion
