摘要
针对大型煤炭企业的特点,分析煤质分析全过程业务流程,提出了一种基于B/S的四层体系架构实现煤质分析全过程信息化。从煤层煤样煤质基础数据录入、工作面煤质数据图形化显示到毛煤及商品煤的煤质月度分析文档生成,各个阶段对煤质进行分析。并采用多元线性回归与RBF神经网络相结合的方法有效的提高了传统煤质预测的准确性,为大型煤炭企业煤质信息化建设提供了有效的解决方案。
According to the characteristics of large scale coal enterprises,the business process of coal quality analysis was analyzed,a four-layer architecture based on B/S was proposed to realize the informatization of coal quality analysis process.Coal quality was analyzed stage by stage,from basic data entry of coal sample,graphical displaying of the work face coal quality data to generating the monthly coal quality analysis document of run-mine coal and commercial coal.A method combing multiple linear regression and RBF neural network was applied to improve the accuracy of the prediction,and to provide an effective solution for informatization of coal quality for large-scale coal enterprises.
引文
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