智慧矿山智能决策支持技术架构设计
发布时间：2018-09-06 13:03
【摘要】：在分析矿山决策支持系统应用现状的基础上,提出基于新一代大数据技术和云计算技术的智慧矿山智能决策支持技术架构。该架构采用Hadoop等大数据技术解决传统决策支持系统存在的无法水平扩展计算资源、响应时间长及无法把离散的管理信息数据与自动化测控数据相结合进行数据分析等问题,通过引入流式计算解决传统决策支持系统无法有效处理无界数据的问题。该架构具有可承载矿山专业业务分析模型和常规管理信息化业务分析模型的能力,可全面融合"人"、"机"、"环"、"管"相关数据,形成综合性较强的决策支持信息,为实现矿山"智慧化"提供核心技术支持。
[Abstract]:Based on the analysis of the present situation of mine decision support system, the intelligent decision support technology architecture of intelligent mine based on the new generation big data technology and cloud computing technology is put forward. In this framework, big data technology such as Hadoop is used to solve the problems of the traditional decision support system, such as the inability to expand computing resources horizontally, the long response time and the inability to combine discrete management information data with automatic measurement and control data for data analysis. Flow computing is introduced to solve the problem that traditional decision support system can not deal with unbounded data effectively. This framework has the ability of carrying the professional business analysis model of mine and the business analysis model of general management information, and can integrate the relevant data of "person", "machine", "ring" and "management", and form more comprehensive decision support information. It provides the core technical support for realizing the "wisdom" of the mine.
【作者单位】： 中煤科工集团常州研究院有限公司;天地(常州)自动化股份有限公司;
【基金】：天地科技股份有限公司智慧矿山专项项目(2016-ZHKSZX-03) 天地(常州)自动化股份有限公司科研项目(2017GY006)
【分类号】：TD67
，
本文编号：2226434
[Abstract]:Based on the analysis of the present situation of mine decision support system, the intelligent decision support technology architecture of intelligent mine based on the new generation big data technology and cloud computing technology is put forward. In this framework, big data technology such as Hadoop is used to solve the problems of the traditional decision support system, such as the inability to expand computing resources horizontally, the long response time and the inability to combine discrete management information data with automatic measurement and control data for data analysis. Flow computing is introduced to solve the problem that traditional decision support system can not deal with unbounded data effectively. This framework has the ability of carrying the professional business analysis model of mine and the business analysis model of general management information, and can integrate the relevant data of "person", "machine", "ring" and "management", and form more comprehensive decision support information. It provides the core technical support for realizing the "wisdom" of the mine.
【作者单位】： 中煤科工集团常州研究院有限公司;天地(常州)自动化股份有限公司;
【基金】：天地科技股份有限公司智慧矿山专项项目(2016-ZHKSZX-03) 天地(常州)自动化股份有限公司科研项目(2017GY006)
【分类号】：TD67
，
本文编号：2226434
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