基于GIS和Mongodb的城镇污水处理监管平台研究与实现
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摘要
特色小镇的发展以及全国各地的环境治理行动,不断对城镇的污水处理提出更新更高的要求。各地污水厂的运营模式多是第三方建设运行,管理部门迫切需要采用信息化手段,增强对城镇污水处理厂的监管。随着物联网技术的发展和应用,污水厂实时监控数据总量越来越大,对于关联性相对较差的实时水质数据来说,关系型数据库的管理模式相对落后,本次研究将No SQ模式的非关系型数据库Mongodb作为污水处理大数据的存储工具,研究并实现一个基于GIS和Mongodb的城镇污水处理监管平台,提升数据访问效率,优化污水处理监管模式。
Characteristics of the development of small towns and this year to all parts of the country's environmental management action,and constantly on the urban sewage treatment to update higher requirements,around the sewage plant operating mode is mostly third-party construction and operation,management departments urgently need to use information technology,Enhanced supervision of urban sewage treatment plants. With the development and application of Internet of Things technology,the total amount of real-time monitoring data of sewage treatment plants is increasing. For the relatively poor real-time water quality data,the management model of relational database is relatively backward. In this study,the No SQ model Non-relational database Mongodb as a large storage of sewage treatment tools,research and implementation of a GIS and Mongodb based urban sewage treatment monitoring platform to enhance data access efficiency and optimize the sewage treatment supervision mode.
Characteristics of the development of small towns and this year to all parts of the country's environmental management action,and constantly on the urban sewage treatment to update higher requirements,around the sewage plant operating mode is mostly third-party construction and operation,management departments urgently need to use information technology,Enhanced supervision of urban sewage treatment plants. With the development and application of Internet of Things technology,the total amount of real-time monitoring data of sewage treatment plants is increasing. For the relatively poor real-time water quality data,the management model of relational database is relatively backward. In this study,the No SQ model Non-relational database Mongodb as a large storage of sewage treatment tools,research and implementation of a GIS and Mongodb based urban sewage treatment monitoring platform to enhance data access efficiency and optimize the sewage treatment supervision mode.
引文
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[3]张恩,张广弟,兰磊.基于MongoDB的海量空间数据存储和并行[J].地理空间信息,2014,12(1):46-48.
[4]李娜.县域农村生活污水管网系统长效运维信息化平台研究与设计[J].测绘与空间地理信息,2016,39(2):138-141.
[5]李娜.农村污水处理监控管理系统建设研究与实现[J].北京测绘,2016(1):77-80.
[2]雷德龙,郭殿升,陈崇成,等.基于MongoDB的矢量空间数据云存储与处理系统[J].地球信息科学学报,2014,16(4):507-516.
[3]张恩,张广弟,兰磊.基于MongoDB的海量空间数据存储和并行[J].地理空间信息,2014,12(1):46-48.
[4]李娜.县域农村生活污水管网系统长效运维信息化平台研究与设计[J].测绘与空间地理信息,2016,39(2):138-141.
[5]李娜.农村污水处理监控管理系统建设研究与实现[J].北京测绘,2016(1):77-80.