摘要
传统煤炭制样系统在制粉前干燥环节中采用定时结束的方式结束干燥,存在着因煤样水分或煤种差异而导致制样效率较低或制样代表性不够的问题,具体表现在时间过短则干燥不彻底而导致无法制粉,时间过长则过干燥影响煤样代表性,由此需研制自动判断煤样干燥结束条件的技术。通过实时分析FDR水分传感器采集的煤样容积含水率数据并经过特定算法判断干燥结束条件,以实现煤样干燥的可靠性和制样系统制样效率的提升。结合技术结构组成及其工作原理,测量常态及压紧状态下煤样水分的稳定性与准确性,观察煤样水分数据的变化趋势,采用数据归一处理方法建立控制算法模型并对其进行优化。经大量不同煤样的相关实验验证,证明自动判断煤样干燥结束条件的技术开发可保证制粉的有效性,并显著提升制样效率。
In the traditional coal sample preparation system,the drying process is finished at a fixed time.The efficiency of this method is low or the representativeness is not enough due to the difference of coal moisture or coal type.If the time is too short,the coal sample would not be dried completely,which will lead to the failure of coal pulverization.If the time is too long,excessive drying will affect the representativeness of coal samples.Therefore,it is necessary to develop a technology to automatically judge the end condition of coal sample drying.By analyzing the volumetric moisture content data of coal samples collected by FDR moisture sensor in real time and judging the drying end conditions through a specific algorithm,this technology realizes the reliability of coal sample drying and improve the sample preparation efficiency.Combined with the technical structure composition and working principle,the stability and accuracy of coal sample moisture under normal and compressed conditions were measured,the change trend of coal sample moisture data was observed,and the data normalization processing method was used to establish and optimize the control algorithm model.Through a large number of relevant experiments of different coal samples,it is proved that the technical development of automatically judging the drying end conditions of coal samples can ensure the effectiveness of pulverization and significantly improve the sample preparation efficiency.
作者
黄志昆
HUANG Zhikun(Hunan Sundy Science and Technology Corporation Ltd.,Changsha 410205,China)
出处
《煤质技术》
2021年第4期64-71,共8页
Coal Quality Technology
基金
湖南省战略新兴科技攻关与重大科技成果转化资助项目(2018GK4005)。
关键词
煤样制备
水分传感器
干燥结束条件
制样效率
数据分析
控制算法模型
coal sample preparation
moisture sensor
drying end condition
sample preparation efficiency
data analysis
control algorithm model
