智能建筑与智慧城市2024,Issue(1) :154-156.DOI:10.13655/j.cnki.ibci.2024.01.047

污水处理厂智慧管控平台的设计要点概述

Overview of Design Points of Intelligent Control Platform for Sewage Treatment Plant

孙展 邢文雅
智能建筑与智慧城市2024,Issue(1) :154-156.DOI:10.13655/j.cnki.ibci.2024.01.047

污水处理厂智慧管控平台的设计要点概述

Overview of Design Points of Intelligent Control Platform for Sewage Treatment Plant

孙展 1邢文雅1
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作者信息

  • 1. 中国市政工程华北设计研究总院有限公司西安分公司
  • 折叠

摘要

通过研究分析污水处理厂的运行情况,为污水处理厂提供一个可行的智慧水务管理技术方案,全方位提高水厂的管理水平.帮助污水处理厂实现了电子化的生产运行数据记录、信息化的数据查询共享方式、规范化的生产运行管理体系、智能化的数据汇总和统计、高度灵活的报表配置和导出、图形化的数据统计分析结果展现,从而提高生产运行数据的准确性,减少管理人员数据统计分析的工作量,提高生产运行管理效率.并对污水处理系统进行全面检视、改进、优化,提高污水厂运行的自动化、信息化、智能化水平,减少污水厂的能耗、药耗,降低运维人工成本,提升污水厂的经济、环境、社会效益.

Abstract

By studying and analyzing the operation of sewage treatment plant,a feasible intelligent water management technology scheme is provided for sewage treatment plant,and the management level of water treatment plant is improved comprehensively.It helps the sewage treatment plant realize electronic production and operation data recording,information data query and sharing mode,standardized production and operation management system,intelligent data summary and statistics,highly flexible report configuration and export,graphical data statistical analysis results display,so as to improve the accuracy of production and operation data,reduce the workload of data statistical analysis of management personnel,and improve the efficiency of production operation management.In addition,comprehensive inspection,improvement and optimization of the sewage treatment system are carried out to improve the automation,information and intelligent level of the operation of the sewage plant,reduce the energy consumption and drug consumption of the sewage plant,reduce the labor cost of operation and maintenance,and improve the economic,environmental and social benefits of the sewage plant.

关键词

污水处理厂/智慧水务/数字化/智能运营中心/智慧管控平台

Key words

sewage treatment plant/smart water/digital/intelligent operation center/intelligent control platform

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出版年

2024
智能建筑与智慧城市
中国勘察设计协会

智能建筑与智慧城市

影响因子:0.317
ISSN:2096-1405
参考文献量4
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