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。
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