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智慧矿山信息可视化研究 被引量:41

Research on information visualization of smart mine
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摘要 目前智慧矿山信息可视化研究主要围绕三维虚拟场景搭建和真实场景监控展开,忽视了从管理人员关注点的角度进行有选择性的可视化展示。针对该问题,基于“四横三纵”的智慧矿山总体架构,采用ISVE(信息-认知主体-可视化展示-效果)可视化方式选择模型构建了智慧矿山可视化信息框架,将智慧矿山信息系统划分为工程数字化系统、综合自动化系统及管理信息化系统,基于面向服务对象的思想对各系统中的信息进行分类,并研究了各类信息的属性;提出以认知主体为中心选择信息可视化方式,根据煤矿企业各层级管理人员的信息关注点来选择合适的信息可视化方式,从而提高管理人员认知效率,促进煤矿企业信息化和智慧化发展。 Existing information visualization researches of smart mine focus on 3D virtual scene building and real scene monitoring,but ignore selective visual display considering focus points of managers.For the above problems,based on general structure of smart mine of four transversal layers and three longitudinal systems,visualization information framework of smart mine is built by use of visualization mode selection model of ISVE(Information-Subject-Visualization-Effectiveness).Information systems of smart mine are divided into engineering digitization system,integrated automation system and management informationization system.Information in each system is classified on basis of service-object-oriented thought,and attributes of each type of information are researched.A selection thought of information visualization mode is proposed which takes cognition agent as a core.Appropriate information visualization mode should be selected according to information focus points of executives in each management layer of coal mine enterprise,so as to improve cognition efficiency of executives and promote development of informationization and intelligence of coal mine enterprise.
作者 谭章禄 吴琦 肖懿轩 王震 李烁 TAN Zhanglu;WU Qi;XIAO Yixuan;WANG Zhen;LI Shuo(School of Management,China University of Mining and Technology(Beijing),Beijing 100083,China)
出处 《工矿自动化》 北大核心 2020年第1期26-31,共6页 Journal Of Mine Automation
基金 国家自然科学基金资助项目(61471362)
关键词 智慧矿山 信息化建设 信息系统 工程数字化系统 综合自动化系统 管理信息化系统 信息可视化 可视化方式选择 smart mine informationization establishment information system engineering digitization system integrated automation system management informationization system information visualization visualization mode selection
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