Neural network can solve some problems of blast furnace expert system such as knowledge getting and inference ability, and it is suitable for pattern recognition of blast furnace data distribution.
神经网络可以解决高炉专家系统最困难的知识获取与推理能力弱等问题，并适合于对高炉分布数据进行模式识别。
On the basis of blast furnace sensor data, BFDES system can make real-time judgement of furnace condition and predict the failure of the blast furnace.
根据高炉传感器的数据，BFDES系统可对高炉炉况作出实时判断，并可预测高炉运行的故障。
The theory of serial port communication technology is introduced, the hardware configuration and software design of blast furnace temperature data collection system are described.
对串口通信技术的原理进行了介绍，并对高炉出铁口温度数据采集系统的硬件配置和软件设计进行了描述。
The monitoring on blast furnace fan using vibration test technique in details are discussed, and the malfunctions will be analyzed and improved as the detection data.
详述了应用振动监测技术对高炉鼓风机运行状况进行监测，根据监测数据对其存在的故障进行分析诊断，并依诊断结论确定改善方案。
With using these pellets in blast furnace for making pig iron with higher manganese content the BF operation data improved and the recovery of manganese increased.
这种球团矿用于高炉冶炼含锰量较高的生铁，可以改善高炉冶炼技术经济指标和提高锰的回收率。
The intelligent simulation model of blast furnace cast steel stave based on correction factor of parameters obtained by training the samples of test data of cast steel stave.
通过训练冷却壁热态试验数据样本，得出了基于参数修正因子的高炉冷却壁的智能仿真模型。
The intelligent simulation model of blast furnace cast steel stave based on correction factor of parameters obtained by training the samples of test data of cast steel stave.
通过训练冷却壁热态试验数据样本，得出了基于参数修正因子的高炉冷却壁的智能仿真模型。
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