LAPSE:2023.1041
Published Article

LAPSE:2023.1041
Real-Time Identification and Positioning of Sewer Blockage Based on Liquid Level Analysis in Rural Area
February 21, 2023
Abstract
Sewer blockages delay sewage discharge or cause it to overflow, which pollutes the environment and is a public health hazard. This necessitates the quick and accurate identification and positioning of sewer blockages. Following a sewer blockage, the sewage is intercepted and the liquid level at the upstream and downstream of the blocking point changes. This study established a method for identifying sewer blockages by analyzing the range and rate of the liquid level change at the upstream and downstream of the blocking point. Through pilot-scale and full-scale experiments, this study summarized the threshold values of the liquid level change rate and the liquid level fluctuation range of the drainage pipeline in normal operation, as well as the threshold values of the liquid level change rate and the liquid level fluctuation range of the upstream and downstream of the sewer blocking point. Moreover, the sewer blockage identification matrix was completed. Sewer blockage in rural areas can be identified and positioned using mathematical tools such as the data-driven model. This research method allows for real-time monitoring and timely warning of the sewer status, thereby reducing the labor and material consumption and unnecessary earthwork excavation to ensure the stable operation of the drainage pipeline.
Sewer blockages delay sewage discharge or cause it to overflow, which pollutes the environment and is a public health hazard. This necessitates the quick and accurate identification and positioning of sewer blockages. Following a sewer blockage, the sewage is intercepted and the liquid level at the upstream and downstream of the blocking point changes. This study established a method for identifying sewer blockages by analyzing the range and rate of the liquid level change at the upstream and downstream of the blocking point. Through pilot-scale and full-scale experiments, this study summarized the threshold values of the liquid level change rate and the liquid level fluctuation range of the drainage pipeline in normal operation, as well as the threshold values of the liquid level change rate and the liquid level fluctuation range of the upstream and downstream of the sewer blocking point. Moreover, the sewer blockage identification matrix was completed. Sewer blockage in rural areas can be identified and positioned using mathematical tools such as the data-driven model. This research method allows for real-time monitoring and timely warning of the sewer status, thereby reducing the labor and material consumption and unnecessary earthwork excavation to ensure the stable operation of the drainage pipeline.
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Keywords
data-driven models, identification and positioning, liquid level analysis, rural area, sewer blockage
Subject
Suggested Citation
Li N, Wang X, Li Z, Zhao F, Nair A, Zhang J, Liu C. Real-Time Identification and Positioning of Sewer Blockage Based on Liquid Level Analysis in Rural Area. (2023). LAPSE:2023.1041
Author Affiliations
Li N: School of Environmental and Municipal Engineering, Qingdao University of Technology, Jialingjiang Dong 777, Huangdao, Qingdao 266520, China
Wang X: School of Environmental and Municipal Engineering, Qingdao University of Technology, Jialingjiang Dong 777, Huangdao, Qingdao 266520, China [ORCID]
Li Z: School of Environmental and Municipal Engineering, Qingdao University of Technology, Jialingjiang Dong 777, Huangdao, Qingdao 266520, China
Zhao F: School of Environmental and Municipal Engineering, Qingdao University of Technology, Jialingjiang Dong 777, Huangdao, Qingdao 266520, China
Nair A: DOSCON AS, P.B. 53 Vollebekk, 0516 Oslo, Norway [ORCID]
Zhang J: Rongcheng Water Group, Guanhai Dong 6, Rongcheng 264300, China
Liu C: School of Environmental and Municipal Engineering, Qingdao University of Technology, Jialingjiang Dong 777, Huangdao, Qingdao 266520, China
Wang X: School of Environmental and Municipal Engineering, Qingdao University of Technology, Jialingjiang Dong 777, Huangdao, Qingdao 266520, China [ORCID]
Li Z: School of Environmental and Municipal Engineering, Qingdao University of Technology, Jialingjiang Dong 777, Huangdao, Qingdao 266520, China
Zhao F: School of Environmental and Municipal Engineering, Qingdao University of Technology, Jialingjiang Dong 777, Huangdao, Qingdao 266520, China
Nair A: DOSCON AS, P.B. 53 Vollebekk, 0516 Oslo, Norway [ORCID]
Zhang J: Rongcheng Water Group, Guanhai Dong 6, Rongcheng 264300, China
Liu C: School of Environmental and Municipal Engineering, Qingdao University of Technology, Jialingjiang Dong 777, Huangdao, Qingdao 266520, China
Journal Name
Processes
Volume
11
Issue
1
First Page
161
Year
2023
Publication Date
2023-01-04
ISSN
2227-9717
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Original Submission
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PII: pr11010161, Publication Type: Journal Article
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LAPSE:2023.1041
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https://doi.org/10.3390/pr11010161
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[v1] (Original Submission)
Feb 21, 2023
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