Rapid Blockage Diagnosis And Early Warning of Urban Drainage Pipe Network

Urban drainage pipe network is the backbone of urban drainage, flood control and water pollution prevention, and is also an essential symbol to measure the level of urban modernization. A large number of underground drainage pipe networks in aged urban areas have been laid for a long time and have reached or practically reached the service age. The repair of drainage pipe networks has attracted extensive attention from all walks of life. Since the Ministry of ecological environment and the national development and Reform Commission jointly issued the action plan for the Yangtze River Protection and restoration in 2019, various provinces in the Yangtze River Basin, such as Anhui, Jiangxi and Hunan, have extensively carried out PPP projects for urban pipeline restoration, in order to improve the quality and efficiency of sewage treatment. Based on the management practice of urban pipe network restoration project in Wuhu City, Anhui Province, this paper analyzes the problems of lengthy construction period and repeated operation caused by the mismatch between the design schedule of the restoration scheme and the construction schedule of the pipe network restoration in the existing project management mode, and proposes a model of urban drainage pipe network restoration scheme selection based on the improved support vector machine. The validity and feasibility of the model are analyzed and verified by collecting the data in the project practice. The research results show that the model has a favorable effect on the selection of urban drainage pipeline restoration schemes, and its accuracy can reach 90%. The research results can provide method guidance and technical support for the rapid decision-making of urban drainage pipeline restoration projects.

With the rapid urbanization in China, the protection of water environment is more and more important. Urban sewage pipe network service is a new technology to store and manipulate spatial data, integrated with attribute data of sewage pipe network. This paper described a digital management platform of the urban sewerage pipe network service system based on Geographical information system (GIS) and Internet of Things (IoT), which mainly contains GIS spatial management and analysis module, drainage pipe network dynamic simulation module, sewage pipe network grid management module and sewage information control center module. The system architecture has been applied to the Sanya city of Hainan province sewage information project.

Based on the one-dimensional channel conservancy model, this paper considers the factor of urban pipe network drainage, and couples the pipe network model with the one-dimensional channel conservancy model to fully analyse the interaction between the channel water level and the drainage pipe network displacement. Taking a coastal city as an example, the model simulation results show that when the water level of the river is high, it will cause the drainage of the pipe network; the lower part of the terrain will become waterlogged because of the aging of the urban pipe and rainstorm. It is impossible to effectively solve the problem of flood control and drainage by widening the river channel. It is necessary to adopt the coordinated improvement of the pipe network and the river channel to achieve effective targets.

Research on intelligent control theory and strategy of gas drainage pipe network based on graph theory

With the continuous increase in the urbanization rate, the amount of sewage received by the sewage pipe network has also been increasing annually. The phenomenon of high water level operation in sewage pipe networks has emerged in many cities, which seriously affects drainage efficiency. Therefore, constructing an effective evaluation method to assess the hydraulic performance of pipe networks operating at high water levels, as well as identifying high-risk pipelines, formulating cost-effective rehabilitation schemes, and evaluating the rehabilitation effects has become necessary to solve this problem. In this study, a sewage pipe network hydraulic performance evaluation method based on flow velocity, pipe fullness, and manhole fullness was established. This method comprehensively considers the instantaneous values and cumulative operation durations of each indicator in the pipeline and, thus, can accurately evaluate the hydraulic performance of the pipe network. This method was applied to the sewage pipe network in City H, and it was found that there existed problems such as low flow velocity, unreasonable pipe diameter, overloading, and high risk of overflow. After the renovation of specific pipeline sections according to the evaluation results, the comprehensive hydraulic performance of the pipe network was significantly improved, with the grade rising from “poor” to “medium +”. This research shows that this evaluation method can accurately assess the hydraulic performance of the current and the renovated sewage pipe network, providing scientific guidance for the renovation and optimization.

Despite urban drainage pipe networks being of great significance to urban flood control, few studies have focused on the influence of urban drainage pipe network structure on hydrological response. We studied two areas in downtown Dongying, Shandong Province, China, which have dendritic and loop drainage pipe networks, respectively. The loop network was converted to a dendritic system for scenario analysis using numerical simulation. Comparing the hydrological response of the original drainage system and the converted system showed that although the dendritic network could reduce node flood volume, the dendritic pipe overload situation was inferior to the loop network. Runoff in the former network was predominantly concentrated in the main pipes and near the outlets and the discharge-peak at the outlet was 47.0% greater than that of the loop. Thus, the loop drainage pipe network is more likely to reduce peak runoff at the outlet, which helps decrease flood risk.

Experimental study of rainwater grate blocking and submergence of outfall on drainage network capacity

The urban underground pipe network plays a vital role in the city development, the construction of unreasonable urban pipe networks restricts the city development, even has a disastrous effect on the city. However, it is not desirable to overstate the investment of the urban underground pipe network excessively. It is an important subject of the city construction that how to establish reasonable urban pipe networks to meet service conditions of underground pipe networks. Because the construction of underground drainage pipe networks of most of the major cities in our country mainly comes from the 50s of last century and there are more pipe network system with the development of the city, it is the main content of our research that how to reform and construct them under the condition of existing underground pipe networks.

With the development of the simulative theory and calculation method of drainage pipe network, urban drainage pipe network model gradually become an indispensable part of the urban drainage system management. The characteristics of modern drainage pipelines,the content of drainage pipelines system model, the problems of combining GIS with drainage pipelines and how to solve them are briefly described in this paper.

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.

Urban water supply is the lifeline of urban survival and development, is an important constraint of sustainable urban development and construction. Water pipes accident often occurs, emergency treatment isn't timely, seriously affect people's lives, restricts economic development. This study researches common problems that many researchers relate to research. First, discuss of the research status on the basis of accessing to an extensive literature; second, summarize the main problems in the current domestic and international research; then point out the significance of the emergency decision of the urban water supply network of the urban's economic construction and social development; finally, research the current hot topic. Using this article research result, research can save a lot of time to direct the selection of studies, research work has a good role in promoting. Urban water supply is the lifeline of urban survival and development, is an important constraint of sustainable urban development and construction, protect people's lives and development of production indispensable material base, is directly related to social stability and economic development. In order to ensure accordance of the urban's construction and development, coordination with the social and economic development, urban water supply system adapt to the people's living standards continue to improvement, must effective protection of the urban water supply security. Current, establish and improve a rapid and effective response in the day-to-day supervision of urban water supply mechanism and emergency mechanism is a new topic for all levels of government to be solved. The water supply network is an important part of the water supply system, the pipe network system is hidden, scattered, difficult to manage, and the current mode of China's urban water supply network management are more traditional, backward. To this end, the emphasis on improving the traditional management concepts and management of content, new management techniques and management models, network management theories, methods and means of innovation, intelligent direction. With the accelerated process of urbanization, as well as the continuous improvement of people's living standards, the requirements of the urban water supply, which requires the urban water supply enterprises to continuously improve the management level. Many researchers during the emergency response decision-making of urban water supply networks, Research, analyze and identify problems to be solved, and then determine the research. Using this article research result, research can save a lot of time to direct the selection of studies, research work has a good role in promoting.

Urban drainage pipe networks have complex spatial contributions, andthey are now facing problems such as damage, defects, and aging. A rapid and high-precision pipe inspection strategy is thekey to ensuring thesustainable development of urban water supply and drainage system. In this paper, a three-dimensional (3D) reconstruction pipeline of urban drainage pipes based on multiview image matching using low-cost panoramic video cameras is proposed, which provides an innovative technical approach for pipe inspection. Firstly, we extracted frames from the panoramic video of the pipes andcorrected the geometric distortion using a spherical reprojection to obtain multiview pipe images. Second, the robust feature matching method using support lines and affine-invariant ratios isintroduced to conduct pipe image matching. Finally, the photogrammetric processing, using structure from motion (SfM) and dense reconstruction, wasintroduced to achieve the 3D modeling of drainage pipes. Several typical drainage pipes and shafts of the real scenes were taken for the 3D reconstruction experiments. Theresults show that our strategy can realize high-precision 3D reconstruction of different types of pipes, which can provide effective technical support for rapid and efficient inspection of urban pipes with broad application prospects in the daily management of sustainable urban drainage systems (SUDSs).

Quantitative simulation of urban waterlogging using computer models is an effective technical means for urban storm water management, especially for predicting and preventing waterlogging. In this study, a city in the northern Anhui Plain, China, was selected as the study site. The Storm Water Management Model was applied to simulate the dynamic changes in the pipeline overload, node overflow, and discharge port runoff characteristics from three perspectives: surface runoff, pipe network transmission, and flow control of low-impact development. The operation of the rainwater pipe network under different return periods and the real-time operation of the rainwater pipe network were simulated to seek solutions to urban waterlogging problems caused by flat terrain and slow drainage. The results revealed that surface runoff is the primary source of rainfall in the study area, with a runoff coefficient of 0.599. The drainage pipe network was optimized by expanding the diameter of the pipe from ≤1.5 mm to ≥2 mm. The water reduction rate was more than 50%, and overload did not occur after optimization. Therefore, sinking green space technology and optimization methods for expanding a pipe diameter can reduce urban waterlogging.

Urban drainage pipe network is an important foundation project in urban construction. It has a vital impact on urban waterlogging prevention and water pollution. However, in the current practice, there are many hidden problems in the pipe network, and it is difficult to check the pipe network problem, which restricts the understanding of the drainage system problem to a certain extent. In order to solve the two technical problems of drainage network survey and data statistics, the monitoring technology based on Internet of things and big data is adopted in this study. Taking the sponge city pilot area of a coastal city in China as the research area, the monitoring scheme was established and the monitoring data were obtained. Based on more than 6 million monitoring data, the automatic analysis algorithm is applied to analyse the problems of mixed connection of rain and sewage and tidal backwater in the pipeline network. The results show that there are a total of 17 outlets in 160 outlets with problems of rain and sewage mixing. Among them, there are four outlets with regular domestic sewage entering the rainwater pipe network, 7 outlets with irregular sewage entering the rainwater pipe network, and 6 outlets where sewage is smuggled into the rainwater pipe network. In addition, there is a sea tidal backwater phenomenon at one of the coastal rainwater outfalls.

The Application of Minimum Spanning Tree Algorithm in the Water Supply Network