Monitoring and Analysis of the Current Situation of the Drainage Network in a City of Northern China

Xc, Liu; Zhang, H F; Song, X. Michael; Gao, Yi; Lang, C; Wang, C Y; Guo, Y; Dong, Jichang; Gao, K; Yang, YS

doi:10.1088/1755-1315/186/6/012033

Cited by 3 publications

(4 citation statements)

References 1 publication

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“…Tese methods not only have limited detection accuracy but also have poor working conditions and even threaten the personal safety of operators. With the development of detection technology, closed-circuit television (CCTV) [7], pipeline sonar detection technology [16], pipe quick view inspection (QV) [17], ground penetrating radar detection [18], multisensor detection [19], sewer scanner and evaluation technology (SSET) [20], infrared temperature recording and analysis [21], and other technologies are gradually applied to practical engineering.…”

Section: Traditional Pipeline Detection and Diagnosis Methodsmentioning

confidence: 99%

Intelligent Diagnosis of Urban Underground Drainage Network: From Detection to Evaluation

Luo,

Du,

Niu

2024

Structural Control and Health Monitoring

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During the process of urban development, there is large-scale laying of underground pipeline networks and coordinated operation of both new and old networks. The underground concrete drainage pipes have become a focus of operation and maintenance due to their strong concealment and serious corrosion. The current manual inspections for subterranean concrete drainage pipelines involve high workloads and risks, which makes meeting the diagnostic needs of intricate urban pipeline networks challenging. Through advanced information technology, it has reached a consensus to intelligently perceive, accurately identify, and precise prediction of the condition of urban subterranean drainage networks. The development process of detection and evaluation methods for underground concrete drainage pipe networks is the focus of this study. The study discusses common algorithms for classifying, locating, and quantifying pipeline defects by combining the principles of deep learning with typical application examples. The intelligent progression of information collection methods, image processing techniques, damage prediction models, and pipeline diagnostic systems is systematically elaborated upon. Lastly, prospects for future research of intelligent pipeline diagnosis are provided.

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Section: Traditional Pipeline Detection and Diagnosis Methodsmentioning

confidence: 99%

Intelligent Diagnosis of Urban Underground Drainage Network: From Detection to Evaluation

Luo,

Du,

Niu

2024

Structural Control and Health Monitoring

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“…QV can shoot the phenomena of deposition, damage, leakage phenomena in the pipeline by means of video recording, and send the video of the internal conditions of the pipeline to the control machine on the ground, so that professionals can observe and analyze the operation of the pipeline and specific defects. During the application of this technology, the water level in the pipe should be less than 1/2 of the pipe diameter, and the length of the detected pipe section should not be greater than 50 m. At present, QV is the most pipeline endoscope inspection technology [6], whereas it should be used for the preliminary judgment of the internal conditions of the pipeline.…”

Section: Pipe Quick View Inspection Technologymentioning

confidence: 99%

“…Moreover, the damaged drainage pipelines involve various defects such as rupture, corrosion, leakage, wrong mouth, dislocation, deposition, obstacle, etc. [2,6,7]. To extend the service life of pipelines, it is very important to comprehensively understand the current state of China's urban drainage pipeline systems by using reliable pipe defect inspection and condition assessment methods.…”

Section: Introductionmentioning

confidence: 99%

“…The inspection and condition assessment of drainage pipelines is a challenging task due to the hidden conditions of pipelines. This motivated a large number of researchers to focus on the state, deficiency and management of urban drainage pipeline systems [6,[8][9][10]. At present, China's urban drainage pipelines are developing extremely fast owing to the ongoing and substantial capital investment of the Chinese government, so it is necessary to update the latest status of China's urban drainage pipelines, thereby presenting an overall picture of China's urban drainage pipelines for future management and planning.…”

Section: Introductionmentioning

confidence: 99%

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Current Situation of Drainage Pipe Network in China and its Detection Technology: a Brief Review

Huang,

Tao,

Lin

et al. 2023

Pol. J. Environ. Stud.

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China's urban drainage pipeline systems and pipeline inspection technologies have achieved significant progress in the past 40 years, whereas the existing drainage pipelines are facing damage, defects, and aging, and thus have received growing attention. To better understand the underlying reasons for the development of China's urban drainage pipeline systems, and improve the utilization efficiency of pipeline inspection technologies, this research comprehensively analyzed the development process of China's urban drainage pipeline systems in terms of the spatio-temporal characteristics of pipeline length, the types of sewer lines, existing problems and consequences. Moreover, the widely used pipeline inspection technologies were presented and compared, and appropriate inspection techniques were proposed for pipelines that are difficult to detect with the common techniques. Finally, specific suggestions and future developments were provided for the construction, defect inspection and condition assessment, and management and maintenance of urban drainage pipeline systems. This review will hopefully assist in the management and maintenance of China's urban drainage pipeline systems, and provide a valuable experience and practices for other developing countries.

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Intelligent optimal layout of drainage pipe network monitoring points based on information entropy theory

He,

Zhang,

et al. 2024

Front. Environ. Sci.

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The rapid expansion of urban drainage pipe networks, driven by economic development, poses significant challenges for efficient monitoring and management. The complexity and scale of these networks make it difficult to effectively monitor and manage the discharge of urban domestic sewage, rainwater, and industrial effluents, leading to illegal discharges, leakage, environmental pollution, and economic losses. Efficient management relies on a rational layout of drainage pipe network monitoring points. However, existing research on optimal monitoring point layout is limited, primarily relying on manual analysis and fuzzy clustering methods, which are prone to human bias and ineffective monitoring data. To address these limitations, this study proposes a coupled model approach for the automatic optimization of monitoring point placement in drainage pipe networks. The proposed model integrates the information entropy index, Bayesian reasoning, the Monte Carlo method, and the stormwater management model (SWMM) to optimize monitoring point placement objectively and measurably. The information entropy algorithm is utilized to quantify the uncertainty and complexity of the drainage pipe network, facilitating the identification of optimal monitoring point locations. Bayesian reasoning is employed to update probabilities based on observed data, while the Monte Carlo method generates probabilistic distributions for uncertain parameters. The SWMM is utilized to simulate stormwater runoff and pollutant transport within the drainage pipe network. Results indicate that (1) the relative mean error of the parameter inversion simulation results of the pollution source tracking model is linearly fitted with the information entropy. The calculation shows that there is a good positive linear correlation between them, which verifies the feasibility of the information entropy algorithm in the field of monitoring node optimization; (2) the information entropy algorithm can be well applied to the optimal layout of a single monitoring node and multiple monitoring nodes, and it can correspond well to the inversion results of the tracking model parameters; (3) the constructed monitoring point optimization model can well realize the optimal layout of monitoring points of a drainage pipe network. Finally, the pollution source tracking model is used to verify the effectiveness of the optimal layout of monitoring points, and the whole process has less human participation and a high degree of automation. The automated monitoring point optimization layout model proposed in this study has been successfully applied in practical cases, significantly improving the efficiency of urban drainage network monitoring and reducing the degree of manual participation, which has important practical significance for improving the level of urban water environment management.

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Monitoring and Analysis of the Current Situation of the Drainage Network in a City of Northern China

Cited by 3 publications

References 1 publication

Intelligent Diagnosis of Urban Underground Drainage Network: From Detection to Evaluation

Intelligent Diagnosis of Urban Underground Drainage Network: From Detection to Evaluation

Current Situation of Drainage Pipe Network in China and its Detection Technology: a Brief Review

Intelligent optimal layout of drainage pipe network monitoring points based on information entropy theory

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