Underlying platform construction of intelligent open-pit mines
-
摘要: 指出了目前我国智慧露天矿山建设中存在的主要问题,即系统独立、人工管控为主、灾害监测被动执行和缺乏智能分析。归纳了智慧露天矿山内涵,认为智慧露天矿山是一个万物互联、平台融合、智慧驱动的大系统。提出了基于工业物联网云操作系统的智慧露天矿山底层平台:① 实时数据由高级可编程适配器通过Modbus/OPC/PPI/MPI等工业协议获得,离线数据按现场工作需要进行手工录入,数据接入露天矿山企业现有企业资源计划或制造执行系统,实现外部数据无缝连接。② 以工业物联网云操作系统MixIOT为平台,按照数据不同来源,建立栅格数据库、离线数据库、统计数据库、报表数据库等,实现露天矿山各类数据路由、交换、存储,同时通过工业数据分析服务系统对露天矿山生产设备运行进行分析。分析了实现智慧露天矿山底层平台所依托的三大关键技术,即数据获取技术、数据分析服务技术和应用展示技术。
-
关键词:
- 露天矿 /
- 智慧矿山 /
- 智慧露天矿山 /
- 底层平台 /
- 工业物联网云操作系统
Abstract: In this paper, it is pointed out that there are several main problems in the construction of intelligent open-pit mines in China at this stage, such as independent systems, mainly relying on manual control, passive implementation of disaster monitoring and lack of intelligent analysis. Moreover, this paper explores the connotation of intelligent open-pit mines and defines the intelligent open-pit mines as a large intelligent driven system consisting of Internet of everything and platform integration. The underlying platform of intelligent open-pit mines based on industrial Internet of things cloud operating system is proposed. Real-time data is obtained by advanced programmable remote utility server via Modbus/OPC/PPI/MPI and other industrial protocols. Off-line data can be entered manually according to the needs of field work. These data can be connected to the existing ERP or manufacturing execution system of open pit mining enterprises to realize the seamless connection of external data. Based on the industrial Internet of Things cloud operating system MixIOT as the platform, raster database, offline database, statistical database, report database, etc. are established according to different data sources to realize routing, exchange and storage of all kinds of data in open pit mines. At the same time, industrial data analysis service system is used to analyze the operation of open-pit mine production equipment. The three key technologies of the underlying platform of intelligent open-pit mines are data acquisition technology, data analysis service technology and application display technology.
点击查看大图
计量
- 文章访问数: 106
- HTML全文浏览量: 17
- PDF下载量: 20
- 被引次数: 0