• 论文
主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
可视化矿山的发展现状及关键技术
  • Title

    Development status and key technolgy of visual mine

  • 作者

    贺雁鹏黄庆享曹健

  • Author

    HE Yanpeng, HUANG Qingxiang, CAO Jian

  • 单位

    西安科技大学能源学院西安科技大学教育部西部矿井开采及灾害防治重点实验室

  • Organization
    1.School of Energy,Xi’an University of Science and Technology,Xi’an ,China;2.Key Laboratory of Western Mine Exploitation and Hazard Prevention of the Ministry of Education,Xi’an University of Science and Technology,Xi’an ,China
  • 摘要

    可视化矿山的建设是智慧煤矿的重要组成部分。通过总结目前可视化矿山的国内外发展现状,分析了可视化矿山建设存在的若干问题,结合模拟仿真、多场智能监测监控、大数据处理、物联网与互联网+ 等先进技术手段,提出了可视化矿山的建设应包括数据可视化、模型可视化、场景可视化和沉浸式(CAVE)可视化4个方面。同时,提出了以采矿模拟仿真的可视化矿山建设为基础,自动化和信息化建设为手段,智能化开采为目标的新型采矿研究体系,设计了由设备感知层、网络数据处理层、关键技术应用层和协同管理层构成的系统总体架构,形成了“一个核心(可视化矿山建设为核心)、多类数据库(数据库是可视化的载体)、一个标准平台(多信息融合)和一个服务目标(协同管理与决策)”的技术框架,基于2类3种(文档型和关系型2类,结构化、半结构化和非结构化3种)数据的处理和信息展现 ,实现4A式(Anyone、Anytime、Anywhere和Anydevice)关联互动平台。根据煤矿生产实践环节,针对矿山作业环境的特殊性和复杂性、安全隐患的不确定性、生产数据多样性与容量巨大性等实际问题,提出8个可视化矿山建设的关键应用技术:三维立体仿真模型、开拓和开采方案设计、矿井风量风速配置、专家决策、动态处理、危险源辨识与预警以及建立数字化集成操作平台,实现各生产环节的信息融合和智能化协同生产,促进煤炭资源的安全绿色开采。

  • Abstract
    The construction of visual coal mine is an important part of the intelligent coal mine. Through summarizing the present development of the present visualization of the mine,the paper analyzed the mining simulation visualization several main problems of mine construction,and combined with some advanced technologies such as modern simulation, several intelligent monitoring, big data processing, Internet of Things and Internet + etc. Visualization of mine construction includes four aspects: data visualization, model visualization, scene visualization and immersion (CAVE) visualization. At the same time,the paper put forward a new mining research system based on the construction of visual mines for mining simulation, automation and information construction as the means, a new type of mining research system based on intelligent mining. The paper also designs the overall architecture of the system including device perception layer, network data processing layer, key technology application layer and collaborative management layer. And “a core (visual mine construction as the core), multi-class databases (the databases are the carrier of visualization), a standard platform (multiple information fusion) and a service target (implement collaborative management and decision making)” are proposed. The technical framework is based on the data processing and information presentation of two types and three kinds (document type and relational type; structured, semi-structured and unstructured),and realizes the 4A-type(Anyone,Anytime,Anywhere and Anydevice)multi-terminal associa-tion interactive platform. According to the practice of coal mine production, for such problems that the mining operation environment has specialty and complexity, uncertainty of safety hazards, diversity of production data and huge capacity, which the safe production of coal mines. Eight key application technologies for visual mine construction are proposed: three-dimensional simulation model, mine development and mining scheme design, mine wind volume and speed configuration, expert decision-making, dynamic processing, hazard identification and early warning, and establishment of digital integrated operation platform, in order to realize multi-information fusion and intelligent collaborative production of each production link, and promote safe and green mining of coal resources.
  • 关键词

    可视化矿山智能化开采模拟仿真大数据物联网

  • KeyWords

    visual coal mine; intelligent mining; simulation; big data; internet of things

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  • 图表
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    • 可视化矿山建设的基本框架

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主办单位:煤炭科学研究总院有限公司 中国煤炭学会学术期刊工作委员会

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