摘要
介绍了煤质在线分析的重要性,以及美国Thermo Fisher Scientific公司在线煤质分析仪ECA的工作原理,并以神华神东洗选中心保德选煤厂的实际应用为例,深入分析了ECA的使用效果。通过随机抽取若干ECA在线监测的煤质数据,以及对应时间段内人工化验的煤质数据,通过线性回归研究二者之间的关联性。结果显示,ECA在线监测数据与人工采样化验数据具有非常好的线性关系,在生产中具有较强的指导意义。借助于ECA的在线监测,保德选煤厂可以随时调整分选参数,确保商品煤各项指标稳定、合格,使用中效果较好,发挥了较为理想的参考价值。ECA的应用有效地克服了实际生产中煤质化验数据不及时、数据分析不准确、代表性不强等对生产的负面影响,实时提供数据,为生产提供可靠的参考,克服了生产参数制定的盲目性和经验性。
Coal quality on-line analysis plays an important part in monitoring coal quality. Introduce the working principle of ECA on-line coal quality analyzer and its application in Baode coal preparation plant. Randomly select some data acquired by ECA, meanwhile get corresponding manual sampling results. Investigate the correlation between the data through linear regression method. The results show that, there is better linear regression between the two. With the help of ECA, Baode coal preparation plant can regulate separating parameters at any time and ensure the stability of commercial coal quality. The application of ECA solves the problems that existed in coal quality detection process. It can provide data in time for production, and make the production more specific.
出处
《洁净煤技术》
CAS
2013年第6期105-108,116,共5页
Clean Coal Technology
关键词
ECA
煤质
在线分析
关联性
线性分析
ECA
coal properties
on-line analysis
correlation
linear analysis
