中文摘要：

针对煤矿监测大数据处理的重要性,基于云计算、大数据和智能决策等技术,设计了一个基于云平台的煤矿监测数据可视化计算系统,提出了基于云服务的基础设施层、模型服务层以及计算应用层3层架构,并详细阐述了云平台,海量数据存储,分布式数据处理模型库以及GIS可视化交互界面设计等关键技术。基于在线地图和实时数据,该系统能够使用户快速配置实时数据源和计算模型,克服了传统计算模式模型和参数配置相对固定、可视化操作简单的缺点,并且以服务的形式在云平台的基础上搭建了模型服务框架,通过模型服务管理模块,系统可进行模型的在线注册与修改,实现了模型库的动态扩展,解决了传统模型库类型固定,扩展性差的问题。

英文摘要：

According to the importance of the coal mine monitored and measured large data processing,based on the cloud calculation,large data and intelligent decision making as well as other technology,a visualized calculation system of the mine monitored and measured data was designed based on the cloud platform. Three layer frameworks of an infrastructure layer,distribution type data processing model library and calculation applied layer were provided based on the cloud services. The paper in detail stated the cloud platform,mass data storage,distribution type data processing model library and GIS visualized interactive interface design as well as other key technologies. Based on the online map and real-time data,the system could make the rapid configuration of the real-time data sources and calculation model to the users and could overcome the disadvantages of the relative fixed and visualized operation simple allocated to the traditional calculation mode model and parameters. A model service framework was established based with the service mode and based on the cloud platform. With the management module of the model services,the system could make the online registration and modification of the model,could realize the dynamic expansion of the model library and could solve the type fixed and poor expansion problems of the traditional model library.