Abstract:

The quality statistics of a basic brick shaping plant was comprehensively researched using R language+WPS,and the analysis tools such as data perspective table,correlation analysis,association analysis,cluster analysis,linear models,decision trees,random forests,and artificial neural networks.The winner from the above tool family was selected to analyze the effects of refractory equipment,refractory brick variety,type and yield on green brick qualified rate,and to discuss the internal connection between various shaping defects.According to the found causes of the defects and the harm degree,the targeted governance was adopted,significantly improving the product qualified rate and enhancing the economic benefits.

Key words: traditional materials, data analysis, model evaluation, quality management, industrial software, basic refractory bricks

摘要：

使用R语言+WPS,综合运用数据透视表、相关分析、关联分析、聚类分析等数据分析工具,以及线性、决策树、随机森林、人工神经网络等模型和评估工具研究了某碱性砖企业成型车间的质量统计数据,从上述工具族中选出优胜者,分析耐火材料设备、耐火砖品种、型号和产量对砖坯合格率的影响,研讨各种成型缺陷之间的内在联系,根据所发现的缺陷成因及其危害程度,进行了有的放矢的治理,显著提高了产品合格率和经济效益。

关键词: 传统材料, 数据分析, 模型评估, 质量管理, 工业软件, 碱性耐火砖