基于物联网感知监测的排水系统问题诊断分析  

Diagnosis and analysis of drainage system issues based on Internet of Things(IoT)sensing and monitoring

在线阅读下载全文

作  者:周国强 任红丹 包建国 郭聪 魏俊 ZHOU Guoqiang;REN Hongdan;BAO Jianguo;GUO Cong(Huadong Engineering Corporation Ltd.,Hangzhou 311100,China;Zhejiang Huadong Geotechnical Investigation&Design Institute Corporation Ltd.,Hangzhou 311100,China)

机构地区:[1]中国电建集团华东勘测设计研究院有限公司,杭州311100 [2]浙江华东岩土勘察设计研究院有限公司,杭州311100 [3]不详

出  处:《给水排水》2024年第S1期467-471,共5页Water & Wastewater Engineering

摘  要:排水管道作为城市重要组成部分,因其埋于地下,其运营管理一直存在较大难度。通过现有的物联网感知技术,对排水系统的液位、流量、水质等进行实施监测,可实时理解其运行状况,诊断其问题。通过对华东某城市的污水片区进行排水监测,经过长时间的稳定运行后,通过分析其管道监测指标,评估管网运行状态,诊断污水系统存在问题,为排水系统运维提供支持。Drainage pipelines,as an essential component of urban infrastructure,have always posed significant operational and management challenges due to their underground placement.By leveraging existing Internet of Things(IoT)sensing technologies,it is possible to monitor the liquid level,flow rate,and water quality of drainage systems in real time,thereby gaining a comprehensive understanding of their operational status and diagnosing any issues that may arise.In the case of a specific urban wastewater district in East of China,the implementation of drainage monitoring has been carried out.After a prolonged period of stable operation,an analysis of the pipeline monitoring indicators has been conducted to assess the state of the network's operation and to identify any existing problems within the wastewater system.This approach has provided substantial support for the maintenance and operation of the drainage system.Through the use of IoT technologies,city managers can better understand the health and functionality of their drainage networks,leading to more informed decision-making and more efficient allocation of resources for maintenance and upgrades.This not only helps to prevent flooding and other water-related disasters but also contributes to the overall sustainability and livability of urban environments.

关 键 词:排水系统 物联网 监测 诊断 

分 类 号:TU992[建筑科学—市政工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象