安山矿煤质预测及优化配煤管理系统研究  

Research on Management System of Coal Quality Prediction and Optimized Coal Blending for Anshan Mine

作　　者：杨伏生[1,2] 李舒婷 周安宁 YANG Fusheng;LI Shuting;ZHOU Anning(College of Chemistry and Chemical Engineering,Xi'an University of Science and Technology,Xi'an 710054,China;Key Laboratory of Coal Resources Exploration and Comprehensive Utilization,Ministry of Natural Resources,Xi'an 710021,China)

机构地区：[1]西安科技大学化学与化工学院,西安710054 [2]自然资源部煤炭资源勘查与综合利用重点实验室,西安710021

出　　处：《煤炭技术》2024年第4期243-245,共3页Coal Technology

基　　金：自然资源部煤炭资源勘查与综合利用重点实验室开放课题基金(KF2018-8);陕西涌鑫矿业有限责任公司科技研究计划(6000220310)。

摘　　要：针对安山矿煤炭分级分质利用面临的煤质管理难题,设计出煤质数据库实体-关系概念模型,基于MySQL和C++技术,借助Visual Studio开发环境,创建出安山矿煤质预测及优化配煤管理系统,实现钻孔资料、煤层煤质、商品煤质、客户需求、生产计划、仓储调运、配煤方案等数据资源在企业内部的系统化、可视化、便捷化共享利用。研究成果可指导煤炭生产和加工企业的源头提质、洗煤增效和配煤创效,提高企业信息化管理与决策水平,助力智慧矿山建设。Aiming at difficulties in coal quality management,during coal grading and separating processes of Anshan mine,a entity-relationship conceptual model of coal quality database was designed,management system of coal quality prediction and optimized blending for Anshan mine,was created based on MySQL and C++technologies and Visual Studio development environment,facilitating systematic,visualized and convenient sharingof the data resourceswithin the enterprise,such as drilling data,coalseam quality,commodity coal quality,customer demand,production planning,storage and transportation,and coal blending scheme.The results can guide enterprises to improve sourcequality,increase washing profits,and create profitsfor coal blending,as a result,levelingup the information management and decision-making of coal production enterprise,promoting a construction of intelligent coal mine.

关 键 词：MYSQL C++ Visual Studio 煤质预测 优化配煤 

分 类 号：TD94[矿业工程—选矿] TQ533[化学工程—煤化学工程]