摘要
为了确定重介选煤厂选煤过程中的关键工序,根据选煤行业的独特性和实际情况,提出基于因果矩阵的选煤关键工序识别方法。结合选煤厂经济技术指标设定质量关键点,通过因果矩阵建立工序与质量关键点之间的联系,科学地组织选煤厂技术人员进行定性评分,定量计算选煤工序对质量关键点的影响程度,并按总分高低依次排序;以80/20原则为指导,选取前20%的工序作为关键工序,实施重点监控,从而实现优质、高效、低耗的目标。以淄博矿业集团许厂煤矿选煤厂原煤准备车间的部分工艺流程为例,说明运用因果矩阵识别关键工序的具体步骤,为该选煤厂关键工序的识别和重点管控的实施提供理论支持。
With an aim to determining the key process involved in the dense- media coal separation plant,the causal matrix- based identification method is proposed in line with the unique features of the coal preparation industry as well as the plant＇s specific conditions. After the critical targeted quality points are set based on the technical and economical indicators,use is made of the proposed method to define the correlation of such points with the corresponding coal treating processes. Following the determination of the relations,the technical personnel can make,on a scientific basis,qualitative scoring and quantitative calculation of the degree of effect on the critical targeted quality points produced by each coal treating process. Then,the various processes are arranged in due order according to total scores. Taking the 80 /20 principle as a guide,the top 20 percent of the graded processes are listed as the key processes of which intensified monitoring and control need to be exercised,so as to allow the coal washing processes to be made with high quality and efficiency,and low energy consumption. An introduction is made in the paper to the concrete procedures of the use of the method with part of the processes of the raw coal preparation workshop of Xuchang Coal Washery under Zibo Mining Group as an example. The application of the causal matrix method provides for the plant a theoretical basis based on which the identification and hence intensified management of the key processes can be made.
出处
《选煤技术》
CAS
2016年第1期76-80,共5页
Coal Preparation Technology
关键词
选煤
关键工序
因果矩阵
过程管理
coal preparation
key process
causal matrix
process management
