摘要
矿床成因、矿石性质、矿物特性等与可选性密切相关,是选矿工艺的决定性因素,具有"基因属性","基因表达"同样适用于矿物加工学科领域。传统的矿物加工技术研究开发模式对上述重要的基因特性缺乏深入系统的研究、测试和总结,大量历史选矿试验数据、工艺矿物学研究数据、设计数据、生产数据等数据库没有建立起来,矿物加工工艺研发和工程设计与现代信息化技术没有深度融合,这使得目前选矿工艺研究存在开发周期长、成本高、效率低、重复试验、先进技术经验难以有效传承等弊端。为了充分利用矿物的基因特性,有效克服矿物加工技术研发过程中的弊端,提出了"基因矿物加工工程"的理念和思路,并开展了战略咨询研究。主要研究内容包括:1)基因特性的测试与提取;2)基因矿物加工工程数据库与数据仓库的建设;3)选矿工艺流程智能决策系统;4)选矿验证试验;5)虚拟选矿厂。其技术路线是以矿床成因、矿石性质、矿物特性等矿物加工的"基因"特性研究与测试为基础,建立和应用数据库,经过智能推荐、模拟仿真和有限的选矿验证试验,快捷、高效、精准地选择选矿技术和工艺流程。此三位一体的基因矿物加工工程的系统研究,将对矿物加工试验研究和工程转化的传统模式带来突破性的创新,为新建选矿厂的设计或老选矿厂的技术改造提供支撑。
The deposit genesis, the ore property, and the mineral characteristics, which has a close relationship with their beneficiablity, could be regarded as the ＂Genetic Properties＂, actually are the determining factors for beneficiation process development. However, in conventional concentrator＇ s process development and engineering, there have been lack of systematic research and test on those genetic properties, also lack of well- established collecting, statistics and analysis system for those huge amount of data such as the historical mineral processing technique research, process mineralogy study, practical operating and engineering data. Obviously it is far less than enough for profound integration combining modem IT together with traditional mineral processing technology, as a result there are a number of disadvantages in mineral processing R＆D and engineering, such as long term, high cost, low efficiency as well as repetitive testwork not making full advantage of previous experiences. Aiming tomake utmost of those Genetic Properties and overcome above disadvantages in mineral processing R＆D and engineering, the concept of ＂Genetic Mineral Processing Engineering （GMPE）＂ is put forwarded, and the strategical study has been conducted on this regard, with the main focus on following aspects： a） Testing and extraction of the ＂ Genetic Properties＂; b ） Establishment of data base and data warehouse of GMPE; e） Intelligent decision making system for beneficiation process; d） Verification testwork; e） Virtual concentrator. The technical route proposed is to firstly conduct research and test on those Genetic Properties mentioned above, based on that the speficic data base will be set up and applied for intelligent process recommendation and simulation with a few varication testwork conducted in the meantime, finally achieve a fast, high efficiency and precise determination of technology and process for ore beneficiation. The systematic study on the three-in-one GMPE would make an innova
作者
孙传尧
周俊武
贾木欣
李成必
印万忠
宋振国
SUN Chuanyao;ZHOU Junwu;JIA Muxin;LI Chengbi;YIN Wanzhong;SONG Zhenguo(Beijing General Research Institute of Mining and Metallurgy, Beijing 102628, China;State Key Laboratory of Mineral Processing Science and Technology, Beijing 102628, China;State Key Laboratory of Process Automation in Mining and Metallurgy,Beijing 102628, China;School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China)
出处
《有色金属（选矿部分）》
CAS
北大核心
2018年第1期1-7,共7页
Nonferrous Metals（Mineral Processing Section）
关键词
基因矿物加工工程
矿床学
大数据
数据库
虚拟选矿厂
智能决策
genetic mineral processing engineering
mineral deposit geology
big data
database
virtual concentrator
intelligent decision making
