A method and system for urban drainage system gridding monitoring distribution point
Patent Information
- Application Number
- CN202410839615.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-06-26
- Publication Date
- 2026-09-04
- Estimated Expiration
- 2044-06-26
AI Technical Summary
[0004]本发明所要解决的技术问题是针对上述现有技术的不足,提供一种用于城市排水系统网格化监控布点方法及系统,旨在解决现有排水系统监控布点技术路径不清晰、监控选点不明确、点位数量不经济,指标内容不合理等问题
Smart Images

Figure CN118775776B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of urban drainage technology, and in particular to a method and system for grid-based monitoring of urban drainage systems. Background Technology
[0002] Underground drainage networks are crucial urban public infrastructure and a vital foundation for ensuring the safe and stable operation of cities. In the past few decades of rapid urban development and construction, underground pipe networks have long been neglected, resulting in inconsistent construction quality. This has led to widespread problems such as combined sewer overflow pollution, misconnection of storm and sewage systems, and damaged pipe networks. Consequently, urban flooding, black and smelly water bodies, and inefficient wastewater treatment facilities are frequent occurrences, contradicting the principles of safe, green, and low-carbon development.
[0003] Traditional drainage network management solutions involve conducting pipeline inspections based on existing pipeline data, using comprehensive methods such as CCTV and QV inspections. However, due to the wide distribution and large scale of urban drainage systems, the cost of inspecting all pipelines is prohibitively high, making it unaffordable for construction companies. Furthermore, factors such as high water levels during network operation prevent inspection of many areas, leading to a tendency to "generalize from limited areas," missing key inspection points and making it difficult to accurately assess the extent of network problems. Therefore, utilizing monitoring data to understand the overall status of a region, identify anomalies, and narrow down the scope of investigation has become an effective means of comprehensively diagnosing network problems. However, urban drainage networks are laid underground for extended periods, with complex interconnections, and network problems generally exhibit randomness and uncertainty. Therefore, how to quickly pinpoint specific areas and identify more comprehensive network issues with less cost remains a key focus and challenge in current drainage network monitoring. Summary of the Invention
[0004] The technical problem to be solved by the present invention is to address the shortcomings of the prior art by providing a method and system for grid-based monitoring of urban drainage systems, aiming to solve problems such as unclear technical paths for monitoring point deployment, ambiguous selection of monitoring points, uneconomical number of points, and unreasonable indicator content in existing drainage systems.
[0005] The technical solution of this invention to solve the above-mentioned technical problems is as follows: A method for grid-based monitoring deployment in urban drainage systems, comprising the following steps:
[0006] S1: Determine the monitoring area of the urban drainage system, and perform regional drainage network topology analysis based on pipeline detection data within the monitoring area of the urban drainage system to obtain a regional drainage network topology map and system diagram;
[0007] S2: Based on the regional drainage network topology map and system diagram, and combined with the terrain and population distribution characteristics of the urban drainage system monitoring area, draw a first-level grid unit, and calculate the optimal number of monitoring points according to the economic grid area;
[0008] S3: Based on the optimal number of monitoring points, and combined with the terrain and population distribution characteristics of the urban drainage system monitoring area, draw secondary and tertiary grid units on the primary grid unit according to the principle of equalizing grid area.
[0009] S4: Identify the drainage pipe network outlets of the secondary and tertiary grid units and use them as the best monitoring points. Select the corresponding monitoring indicators according to the level of the grid unit, and determine the monitoring equipment information to guide the installation and commissioning of the equipment based on the monitoring indicators.
[0010] The beneficial effects of this invention are as follows: The grid-based monitoring deployment method for urban drainage systems of this invention analyzes the regional drainage network topology structure by analyzing pipeline detection data within the monitoring area of the urban drainage system, obtaining a regional drainage network topology map and system diagram. Then, it calculates the optimal number of monitoring points based on the economic grid area, and draws grid units divided into different levels, ultimately determining the optimal monitoring points and monitoring indicators. This facilitates the selection of appropriate monitoring equipment, transforming the complex problem of drainage network monitoring into a scientific and clear technical path. It can effectively guide the design of urban drainage system monitoring deployment schemes in various regions, associating various facility nodes in the drainage system with grid levels, and determining the main monitoring indicators based on the grid level, thus balancing the requirements for indicator stability and monitoring content.
[0011] Based on the above technical solution, the present invention can be further improved as follows:
[0012] Further: In S1, the specific method for performing regional drainage network topology analysis based on pipeline detection data within the urban drainage system monitoring area is as follows:
[0013] S11: Identify the spatial distribution and connection relationship of each node in the drainage network based on the pipeline detection data information within the monitoring area of the urban drainage system;
[0014] S12: Generate a regional drainage network topology map and system diagram based on the spatial distribution and connection relationship of each node in the drainage network.
[0015] The beneficial effects of the above-mentioned further solutions are: by using the pipeline detection data information within the monitoring area of the urban drainage system, the spatial distribution and connection relationship of each node in the drainage network of the area can be accurately identified, and the regional drainage network topology map and system map can be automatically generated, which makes it convenient to accurately determine important facility nodes based on the regional drainage network topology map and system map, and then calculate the optimal number of monitoring points.
[0016] Further: In step S2, calculating the optimal number of monitoring points based on the economic grid area specifically includes the following steps:
[0017] S21: Identify important facility nodes based on the regional drainage network topology map and system diagram, and trace upstream along the regional drainage network topology map and system diagram with the important facility nodes as the end until there are no other important facility nodes upstream, and form a first-level grid unit;
[0018] S22: Based on the average density of the drainage pipe network within the urban drainage system monitoring area, calculate the annual investment cost consisting of the construction and maintenance costs of the required monitoring equipment and the cost of troubleshooting and detecting pipe network problems according to different grid area sizes, and determine the grid area corresponding to the lowest annual investment cost as the economic grid area.
[0019] S23: Calculate the optimal number of monitoring points based on the area of the first-level grid unit and the area of the economic grid;
[0020] The key facility nodes include at least one or more of the following: drainage outlets, pumping stations, sluice gates, and sewage treatment plants.
[0021] The beneficial effects of the above-mentioned further scheme are: by identifying important facility nodes through the regional drainage pipe network topology map and system diagram, it is possible to construct primary grid units in a targeted manner, calculate the annual investment cost in combination with the average density of the drainage pipe network, and find the grid area corresponding to the lowest annual investment cost as the economic grid area, which serves as the basis for further division of primary grid units.
[0022] Further: In step S23, when the area of the first-level grid cell is smaller than the area of the economic grid, the number of optimal monitoring points is 1.
[0023] The beneficial effect of the above-mentioned further scheme is that when the area of the first-level grid unit is smaller than the area of the economic grid, the number of optimal monitoring points is 1, which can ensure that all important nodes corresponding to the first-level grid unit can be monitored, thereby improving the accuracy and comprehensive coverage of monitoring points.
[0024] Further: In step S3, drawing second-level and third-level grid cells on the first-level grid cells according to the principle of equalizing grid area specifically includes the following steps:
[0025] S31: The control area of the second-level grid unit is calculated based on the area of the first-level grid unit and the number of optimal monitoring points;
[0026] S32: Combining the terrain and population distribution characteristics within the first-level grid unit, the first-level grid unit is divided according to the control area of the second-level grid unit to generate second-level grid units;
[0027] S33: The control area of the tertiary grid unit is calculated based on the control area of the secondary grid unit and the preset division coefficient;
[0028] S34: Combining the terrain and population distribution characteristics within the secondary grid unit, the secondary grid unit is divided according to the control area of the tertiary grid unit to generate a tertiary grid unit.
[0029] The beneficial effects of the above-mentioned further scheme are as follows: the control area of the second-level grid unit is calculated by the area of the first-level grid unit and the number of optimal monitoring points, and then the first-level grid unit is further divided by combining the terrain and population distribution characteristics within the first-level grid unit to obtain the second-level grid unit. Then, the second-level grid unit is divided again by combining the control area of the third-level grid unit determined by the preset division coefficient to obtain the third-level grid unit.
[0030] Further: In step S31, the specific steps for calculating the control area of the second-level grid unit based on the area of the first-level grid unit and the optimal number of monitoring points are as follows:
[0031] Divide the area of the first-level grid unit by the number of optimal monitoring points and round it to the nearest integer to obtain the control area of the second-level grid unit.
[0032] The beneficial effects of the above-mentioned further scheme are: by dividing the area of the first-level grid unit by the number of optimal monitoring points, the control area of the second-level grid unit is calculated, which is a value that is close to the economic grid area. At the same time, depending on the actual connection relationship of the urban drainage pipe network and the different characteristics of terrain, population and industry distribution, the actual drawn area of the second-level grid unit and the control area will be different in value. By using the rounding principle to round up, the scale should be kept as consistent as possible when drawing, while taking into account both the coverage of important nodes and cost.
[0033] Further: In step S4, identifying the drainage pipe network outlets of the secondary and tertiary grid units as the optimal monitoring points, and selecting the corresponding monitoring indicators based on the grid unit level, specifically includes the following steps:
[0034] S41: Identify the boundary points between the boundary lines of each grid unit and the downstream drainage network within each grid unit, locate the inspection wells of the drainage pipes near the boundary points, and use them as the outlet ends of the drainage network of that grid unit, and use the outlet ends as the optimal monitoring points.
[0035] S42: Identify the level of the grid unit and the corresponding distribution of monitoring points, and determine the monitoring indicators of the monitoring points corresponding to each level of grid unit.
[0036] The beneficial effect of the above-mentioned further solution is that by identifying the inspection wells of drainage pipes near the intersection of the boundary line of each level of grid unit and the downstream of the drainage pipe network within each level of grid unit, the optimal monitoring point can be conveniently and accurately determined. Then, by combining the level of the grid unit and the distribution of monitoring points, the monitoring indicators of the corresponding monitoring points can be determined.
[0037] The present invention also provides a grid-based monitoring and deployment system for urban drainage systems, including a topology analysis module, a first drawing and calculation module, a second drawing and calculation module, and an identification and selection module;
[0038] The topology analysis module is used to determine the monitoring area of the urban drainage system and perform regional drainage network topology analysis based on pipeline detection data within the monitoring area to obtain a regional drainage network topology map and system diagram.
[0039] The first drawing and calculation module is used to draw first-level grid units based on the regional drainage network topology map and system diagram, combined with the terrain and population distribution characteristics of the urban drainage system monitoring area, and calculate the optimal number of monitoring points according to the economic grid area.
[0040] The second drawing and calculation module is used to draw second-level and third-level grid units on the first-level grid unit according to the optimal number of monitoring points, combined with the terrain and population distribution characteristics of the urban drainage system monitoring area, and in accordance with the principle of equalizing grid area.
[0041] The identification and selection module is used to identify the drainage pipe network outlets of the secondary and tertiary grid units and use them as the best monitoring points. It also selects the corresponding monitoring indicators according to the level of the grid unit and determines the monitoring equipment information to guide the installation and commissioning of the equipment based on the monitoring indicators.
[0042] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the method for grid-based monitoring of urban drainage systems.
[0043] The present invention also provides a grid-based monitoring device for urban drainage systems, comprising a communication interface, a memory, a communication bus, and a processor, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus;
[0044] The memory is used to store computer programs;
[0045] When the processor executes the program stored in the memory, it implements the steps of the method for grid-based monitoring of urban drainage systems. Attached Figure Description
[0046] Figure 1 This is a flowchart of a grid-based monitoring deployment method for urban drainage systems provided in an embodiment of the present invention;
[0047] Figure 2 The drainage network topology analysis diagram provided in an embodiment of the present invention is shown in (2a) as a generalized diagram of the network and (2b) as a system diagram of the network.
[0048] Figure 3 This is a grid cell distribution diagram provided in an embodiment of the present invention, wherein (3a) is a first-level grid cell distribution diagram and (3b) is a second-level grid cell distribution diagram;
[0049] Figure 4 A graph showing the relationship between grid area and annual cost provided in an embodiment of the present invention;
[0050] Figure 5 This is a monitoring point layout diagram provided in an embodiment of the present invention, wherein (5a) is a grid unit monitoring point layout diagram and (5b) is a city grid unit monitoring point distribution diagram;
[0051] Figure 6 This is a schematic diagram of the construction and installation of a monitoring device according to an embodiment of the present invention;
[0052] Figure 7 This is a schematic diagram of a grid-based monitoring system for urban drainage systems, provided as an embodiment of the present invention. Detailed Implementation
[0053] The principles and features of the present invention are described below with reference to the accompanying drawings. The examples given are only for explaining the present invention and are not intended to limit the scope of the present invention.
[0054] like Figure 1As shown, a method for grid-based monitoring deployment in urban drainage systems includes the following steps:
[0055] S1: Determine the monitoring area of the urban drainage system, and perform regional drainage network topology analysis based on pipeline detection data within the monitoring area of the urban drainage system to obtain a regional drainage network topology map and system diagram;
[0056] S2: Based on the regional drainage network topology map and system diagram, and combined with the terrain and population distribution characteristics of the urban drainage system monitoring area, draw a first-level grid unit, and calculate the optimal number of monitoring points according to the economic grid area;
[0057] S3: Based on the optimal number of monitoring points, and combined with the terrain and population distribution characteristics of the urban drainage system monitoring area, draw secondary and tertiary grid units on the primary grid unit according to the principle of equalizing grid area.
[0058] S4: Identify the drainage pipe network outlets of the secondary and tertiary grid units and use them as the best monitoring points. Select the corresponding monitoring indicators according to the level of the grid unit, and determine the monitoring equipment information to guide the installation and commissioning of the equipment based on the monitoring indicators.
[0059] The present invention provides a grid-based monitoring deployment method for urban drainage systems. This method analyzes the regional drainage network topology based on pipeline detection data within the monitoring area of the urban drainage system, obtaining a regional drainage network topology map and system diagram. Then, it calculates the optimal number of monitoring points based on the economic grid area and draws grid units at different levels, ultimately determining the optimal monitoring points and monitoring indicators. This facilitates the selection of appropriate monitoring equipment and transforms the complex problem of drainage network monitoring into a scientific and clear technical path. It effectively guides the design of monitoring deployment schemes for urban drainage systems in various regions, associating various facility nodes in the drainage system with grid levels and determining the main monitoring indicators based on the grid level, thus balancing the requirements for indicator stability and the content requirements of monitoring.
[0060] In one or more embodiments of the present invention, the specific method for performing regional drainage network topology analysis based on pipeline detection data within the monitoring area of the urban drainage system in step S1 is as follows:
[0061] S11: Identify the spatial distribution and connection relationship of each node in the drainage network based on the pipeline detection data information within the monitoring area of the urban drainage system;
[0062] S12: Generate a regional drainage network topology map and system diagram based on the spatial distribution and connection relationship of each node in the drainage network.
[0063] Here, after determining the monitoring area of the urban drainage system, pipeline detection data information for the area can be obtained from publicly available data or coordinated from relevant departments. Based on the pipeline detection data and combined with the previous planning and design data of the area, the topology analysis of the drainage network can be carried out to identify the spatial distribution and connection relationship of each node in the drainage network, and form a regional drainage network topology map and system map.
[0064] By using pipeline detection data within the monitored area of the urban drainage system, the spatial distribution and connection relationships of each node in the drainage network of the area can be accurately identified, and a regional drainage network topology map and system diagram can be automatically generated. This facilitates the precise determination of important facility nodes based on the regional drainage network topology map and system diagram, and thus the calculation of the optimal number of monitoring points.
[0065] It should be noted that urban drainage pipes are laid underground year-round, and pipeline detection data is an important source of information that objectively and truthfully reflects the basic attributes and spatial location of underground pipes. It is also the foundational data for carrying out various tasks such as drainage pipe inspection, diagnosis, repair and management. Generally, the relevant industry authorities in each region will regularly organize surveying units to carry out underground pipeline detection work in their respective areas.
[0066] In one or more instances, the topology of the drainage network is analyzed based on pipeline detection data, and a simplified diagram and system diagram of the drainage network are generated, such as... Figure 2 As shown, the important node locations, interconnections, and routes of the drainage network in a certain city area are clearly reflected. Figure (2a) is a simplified diagram of the network, and Figure (2b) is a system diagram of the network.
[0067] In one or more embodiments of the present invention, step S2, which involves calculating the optimal number of monitoring points based on the economic grid area, specifically includes the following steps:
[0068] S21: Identify important facility nodes based on the regional drainage network topology map and system diagram, and trace upstream along the regional drainage network topology map and system diagram with the important facility nodes as the end until there are no other important facility nodes upstream, and form a first-level grid unit;
[0069] The key facility nodes include at least one or more of the following: drainage outlets, pumping stations, sluice gates, and sewage treatment plants;
[0070] It should be noted that urban drainage pipelines are mainly divided into rainwater pipelines and sewage pipelines, used to collect and transport surface runoff generated by rainfall and wastewater discharged from urban residents' domestic and industrial activities. Urban drainage pipelines are generally arranged in a tree-like pattern, from branches to the trunk. As the area and volume of water flowing into the drainage system increase, the size of the drainage pipelines also increases accordingly. Drainage outlets, pumping stations, sluice gates, and sewage treatment plants are generally located downstream of the drainage system, while rainwater and sewage from upstream areas eventually flow into these facilities. Therefore, the systematic and regional nature of the pipeline network is an important characteristic of urban drainage systems.
[0071] In one or more instances, based on the distribution of important nodes and pipeline connections, the urban area was divided into 30 first-level grid cells, such as... Figure 3 As shown in Figure 3(a), rainwater or sewage generated within the same grid cell will eventually be discharged to the same node.
[0072] S22: Based on the average density of the drainage pipe network within the urban drainage system monitoring area, calculate the annual investment cost consisting of the construction and maintenance costs of the required monitoring equipment and the cost of troubleshooting and detecting pipe network problems according to different grid area sizes, and determine the grid area corresponding to the lowest annual investment cost as the economic grid area.
[0073] In practice, the annual investment cost needs to be calculated based on the construction and maintenance costs of the required monitoring equipment and the costs of troubleshooting and detecting pipeline problems, according to different grid area sizes. On this basis, a curve showing the relationship between grid area and annual cost is plotted, and the grid area corresponding to the point of lowest annual cost is selected as the economic grid area.
[0074] It should be noted that the location and diagnosis of urban drainage pipe network problems is achieved through pipe network inspection and testing. However, the unit cost of inspection is too high, often making it difficult to cover the entire urban area. Grid-based monitoring can effectively reduce the inspection area. The smaller the monitoring grid area, the lower the inspection area and cost. However, smaller grids lead to an increase in monitoring equipment, which in turn increases the construction and maintenance costs of the monitoring equipment. Therefore, theoretically, there exists an optimal grid area that minimizes the sum of inspection and testing costs and equipment construction and maintenance costs.
[0075] In one example, the average network density was calculated to be 5.2 km / km based on the monitored area and the length of the drainage network. 2 The grid area ranges from 0.1 to 10.0 km². 2 Based on the arrangement and the unit price of pipeline network inspection and monitoring equipment construction and maintenance in this area, the annual investment cost for different grid areas was calculated to be between 7.18 million and 82.66 million. A curve showing the relationship between grid area and annual cost was plotted as follows: Figure 4 As shown, the grid area corresponding to the lowest annual cost is 2.5 km².2 This area is the economic grid area of the region.
[0076] S23: Calculate the optimal number of monitoring points based on the area of the first-level grid unit and the area of the economic grid.
[0077] In one example, the area is 4.8 km². 2 The first-level grid cell divided by 2.5km 2 The economic grid area is 2.2, which means that the optimal number of monitoring points for this first-level grid unit is 2.
[0078] By identifying important facility nodes through the regional drainage network topology map and system diagram, primary grid units can be constructed in a targeted manner. The annual investment cost is calculated in combination with the average density of the drainage network, thereby finding the grid area corresponding to the lowest annual investment cost as the economic grid area, which serves as the basis for further division of primary grid units.
[0079] Optionally, in one or more embodiments of the present invention, in step S23, when the area of the primary grid unit is smaller than the area of the economic grid, the number of optimal monitoring points is 1. Setting the number of optimal monitoring points to 1 when the area of the primary grid unit is smaller than the area of the economic grid ensures that all important nodes corresponding to the primary grid unit can be monitored, improving the accuracy and comprehensive coverage of monitoring point deployment.
[0080] In one or more embodiments of the present invention, step S3, which involves drawing second-level and third-level grid cells on the first-level grid cells according to the principle of equalizing grid area, specifically includes the following steps:
[0081] S31: The control area of the second-level grid unit is calculated based on the area of the first-level grid unit and the number of optimal monitoring points;
[0082] In one example, the area is 4.8 km². 2 Dividing the first-level grid cell by the optimal number of monitoring points (value 2) yields a second-level grid cell control area of 2.4 km². 2 The area is similar to that of the economic grid. Based on pipeline connections and regional characteristics, a secondary grid unit is drawn, covering an area of 4.8 km. 2 Within the first-level grid cell, areas of 2.5 km² were obtained. 2 and 2.3km 2 The two secondary grid units were further divided into 55 secondary grid units from the 30 primary grid units in a certain urban area using the same method. Figure 3 As shown in Figure 3(b).
[0083] S32: Combining the terrain and population distribution characteristics within the first-level grid unit, the first-level grid unit is divided according to the control area of the second-level grid unit to generate second-level grid units;
[0084] S33: The control area of the tertiary grid unit is calculated based on the control area of the secondary grid unit and the preset division coefficient;
[0085] S34: Combining the terrain and population distribution characteristics within the secondary grid unit, the secondary grid unit is divided according to the control area of the tertiary grid unit to generate a tertiary grid unit.
[0086] In one or more embodiments of the present invention, the preset division coefficient is 0.5. Within the scope of the secondary grid unit, the secondary grid unit is divided into a tertiary grid unit according to the control area, combined with the drainage pipe network connection, urban terrain trend, population distribution, and industrial distribution characteristics.
[0087] It should be noted that the third-level grid unit is a further densification of the second-level grid unit. In step S31, the second-level grid unit has been uniformly controlled according to the economic grid area. Therefore, it is not necessary to further calculate the economic grid area of the third-level grid unit. Instead, in step S32, the control area of the third-level grid unit is obtained by directly multiplying the area of the second-level unit by the preset division coefficient.
[0088] In one example, the area is 2.5 km². 2 Dividing the first-level grid cell by the value of 2, we obtain a control area of 1.25 km² for the third-level grid cell. 2 Based on pipeline connections and regional characteristics, a three-level grid was drawn, covering a distance of 2.5 km. 2 Within the second-level grid cell, areas of 1.37 km² were obtained. 2 and 1.13km 2 The two tertiary grid units were further divided into 110 tertiary grid units based on the same method, with the 55 secondary grid units in a certain urban area being further divided into 110 tertiary grid units.
[0089] The control area of the second-level grid unit is calculated by the area of the first-level grid unit and the number of optimal monitoring points. Then, the first-level grid unit is further divided by combining the terrain and population distribution characteristics within the first-level grid unit to obtain the second-level grid unit. Finally, the second-level grid unit is divided again by combining the control area of the third-level grid unit determined by the preset division coefficient to obtain the third-level grid unit.
[0090] Optionally, in one or more embodiments of the present invention, the specific steps in S31 for calculating the control area of the second-level grid unit based on the area of the first-level grid unit and the optimal number of monitoring points are as follows:
[0091] Divide the area of the first-level grid unit by the number of optimal monitoring points and round it to the nearest integer to obtain the control area of the second-level grid unit.
[0092] The control area of the second-level grid unit is calculated by dividing the area of the first-level grid unit by the optimal number of monitoring points. This value is close to the economic grid area. However, the actual area of the second-level grid unit and the control area will differ depending on the actual connection relationship of the urban drainage network and the characteristics of terrain, population, and industry distribution. Rounding is used to ensure that the scale is kept as consistent as possible during the drawing process, while also ensuring that important nodes are covered and taking cost into account.
[0093] In one or more embodiments of the present invention, step S4, which involves identifying the drainage pipe network outlets of the secondary and tertiary grid units as the optimal monitoring points and selecting the corresponding monitoring indicators based on the grid unit level, specifically includes the following steps:
[0094] S41: Identify the boundary points between the boundary lines of each grid unit and the downstream drainage network within each grid unit, locate the inspection wells of the drainage pipes near the boundary points, and use them as the outlet ends of the drainage network of that grid unit, and use the outlet ends as the optimal monitoring points.
[0095] It should be noted that when a grid cell boundary line intersects with the drainage network at two points, the upstream point is the inlet end of the drainage network for that grid cell, and the downstream point is the outlet end. The inlet end of the grid cell is also the outlet end of its adjacent upstream grid cell.
[0096] In one example, the boundary line of a certain level of grid cell intersects with a stormwater culvert measuring BH2.0*2.0m. The intersection point is near the end drainage outlet of the culvert, so monitoring point FY-119 is set at this drainage outlet. Figure 5 As shown in Figure 5(a). Further, following this method, monitoring points are arranged for all grid units in a certain urban area, as follows: Figure 5 As shown in Figure 5(b).
[0097] S42: Identify the level of the grid unit and the corresponding distribution of monitoring points, and determine the monitoring indicators of the monitoring points corresponding to each level of grid unit.
[0098] Specifically, the grid unit level and monitoring point distribution are identified, and the monitoring indicators for the corresponding points of the first-level grid unit are water quality, flow rate and liquid level, the monitoring indicators for the second-level grid unit are flow rate and liquid level, and the monitoring indicator for the third-level grid unit is liquid level.
[0099] It should be noted that there are many types of water quality monitoring indicators. Therefore, when determining the specific indicators, the requirements of the local environmental protection department and water administration department should be taken into account.
[0100] In one example, a monitoring point numbered FY-119 monitors water quality indicators such as chemical oxygen demand, ammonia nitrogen, and suspended solids, as well as instantaneous flow rate and instantaneous liquid level.
[0101] Next, based on the determined monitoring indicators, and considering the location of the monitoring points and the installation environment, stable and reliable monitoring equipment was selected, and the installation, commissioning, and operation of the monitoring equipment were carried out.
[0102] It should be noted that on-site installation conditions need to be verified before installing the equipment, and a corresponding construction and installation plan needs to be developed. If the installation conditions cannot meet the requirements, suitable locations can be found within a certain range for adjustment.
[0103] In one or more instances, the monitoring content of a monitoring point numbered FY-119 is water quality, flow rate, and liquid level. The node type is a drainage outlet, and the installation location is a riverbank. Considering the above factors, an integrated equipment consisting of metering instruments such as a photoelectric water quality meter, a Doppler flow meter, and a pressure level gauge is selected for construction and installation. Figure 6 As shown, debugging was carried out after installation to ensure that the monitoring data transmission was normal.
[0104] By identifying the inspection wells of drainage pipes near the intersection of the boundary lines of each level of grid unit and the downstream drainage network within each level of grid unit, the optimal monitoring point can be easily and accurately determined. Combined with the level of the grid unit and the distribution of monitoring points, the monitoring indicators of the corresponding monitoring points can be determined.
[0105] like Figure 7 As shown, the present invention also provides a grid-based monitoring and deployment system for urban drainage systems, including a topology analysis module, a first drawing and calculation module, a second drawing and calculation module, and an identification and selection module;
[0106] The topology analysis module is used to determine the monitoring area of the urban drainage system and perform regional drainage network topology analysis based on pipeline detection data within the monitoring area to obtain a regional drainage network topology map and system diagram.
[0107] The first drawing and calculation module is used to draw first-level grid units based on the regional drainage network topology map and system diagram, combined with the terrain and population distribution characteristics of the urban drainage system monitoring area, and calculate the optimal number of monitoring points according to the economic grid area.
[0108] The second drawing and calculation module is used to draw second-level and third-level grid units on the first-level grid unit according to the optimal number of monitoring points, combined with the terrain and population distribution characteristics of the urban drainage system monitoring area, and in accordance with the principle of equalizing grid area.
[0109] The identification and selection module is used to identify the drainage pipe network outlets of the secondary and tertiary grid units and use them as the best monitoring points. It also selects the corresponding monitoring indicators according to the level of the grid unit and determines the monitoring equipment information to guide the installation and commissioning of the equipment based on the monitoring indicators.
[0110] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the method for grid-based monitoring of urban drainage systems.
[0111] The present invention also provides a grid-based monitoring device for urban drainage systems, comprising a communication interface, a memory, a communication bus, and a processor, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus;
[0112] The memory is used to store computer programs;
[0113] When the processor executes the program stored in the memory, it implements the steps of the method for grid-based monitoring of urban drainage systems.
[0114] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. A method for grid-based monitoring deployment in urban drainage systems, characterized in that, Includes the following steps: S1: Determine the monitoring area of the urban drainage system, and perform regional drainage network topology analysis based on pipeline detection data within the monitoring area of the urban drainage system to obtain a regional drainage network topology map and system diagram; S11: Identify the spatial distribution and connection relationship of each node in the drainage network based on the pipeline detection data information within the monitoring area of the urban drainage system; S12: Generate a regional drainage network topology map and system diagram based on the spatial distribution and connection relationship of each node in the drainage network; S2: Based on the regional drainage network topology map and system diagram, and combined with the terrain and population distribution characteristics of the urban drainage system monitoring area, draw a first-level grid unit, and calculate the optimal number of monitoring points according to the economic grid area; S21: Identify important facility nodes based on the regional drainage network topology map and system diagram, and trace upstream along the regional drainage network topology map and system diagram with the important facility nodes as the end until there are no other important facility nodes upstream, and form a first-level grid unit; S22: Based on the average density of the drainage pipe network within the urban drainage system monitoring area, calculate the annual investment cost consisting of the construction and maintenance costs of the required monitoring equipment and the cost of troubleshooting and detecting pipe network problems according to different grid area sizes, and determine the grid area corresponding to the lowest annual investment cost as the economic grid area. S23: Calculate the optimal number of monitoring points based on the area of the first-level grid unit and the area of the economic grid; The key facility nodes include at least one or more of the following: drainage outlets, pumping stations, sluice gates, and sewage treatment plants; S3: Based on the optimal number of monitoring points, and combined with the terrain and population distribution characteristics of the urban drainage system monitoring area, draw secondary and tertiary grid units on the primary grid unit according to the principle of equalizing grid area. S4: Identify the drainage pipe network outlets of the secondary and tertiary grid units and use them as the best monitoring points. Select the corresponding monitoring indicators according to the level of the grid unit, and determine the monitoring equipment information to guide the installation and commissioning of the equipment based on the monitoring indicators.
2. The method for grid-based monitoring of urban drainage systems according to claim 1, characterized in that, In step S23, when the area of the first-level grid cell is smaller than the area of the economic grid, the number of optimal monitoring points is 1.
3. The method for grid-based monitoring of urban drainage systems according to claim 1, characterized in that, In step S3, drawing second-level and third-level grid cells on the first-level grid cells according to the principle of equalizing grid area specifically includes the following steps: S31: The control area of the second-level grid unit is calculated based on the area of the first-level grid unit and the number of optimal monitoring points; S32: Combining the terrain and population distribution characteristics within the first-level grid unit, the first-level grid unit is divided according to the control area of the second-level grid unit to generate second-level grid units; S33: The control area of the tertiary grid unit is calculated based on the control area of the secondary grid unit and the preset division coefficient; S34: Combining the terrain and population distribution characteristics within the secondary grid unit, the secondary grid unit is divided according to the control area of the tertiary grid unit to generate a tertiary grid unit.
4. The method for grid-based monitoring of urban drainage systems according to claim 3, characterized in that, In step S31, the specific steps for calculating the control area of the second-level grid unit based on the area of the first-level grid unit and the optimal number of monitoring points are as follows: Divide the area of the first-level grid unit by the number of optimal monitoring points and round it to the nearest integer to obtain the control area of the second-level grid unit.
5. The method for grid-based monitoring of urban drainage systems according to any one of claims 1-4, characterized in that, In step S4, identifying the drainage pipe network outlets of the secondary and tertiary grid units as the optimal monitoring points, and selecting the corresponding monitoring indicators based on the grid unit level, specifically includes the following steps: S41: Identify the boundary points between the boundary lines of each grid unit and the downstream drainage network within each grid unit, locate the inspection wells of the drainage pipes near the boundary points, and use them as the outlet end of the drainage network of that grid unit, and use the outlet end as the optimal monitoring point. S42: Identify the level of the grid unit and the corresponding distribution of monitoring points, and determine the monitoring indicators of the monitoring points corresponding to each level of grid unit.
6. A grid-based monitoring system for urban drainage systems, employing the grid-based monitoring method for urban drainage systems as described in any one of claims 1-5, characterized in that: It includes a topology analysis module, a first drawing calculation module, a second drawing calculation module, and a recognition and selection module; The topology analysis module is used to determine the monitoring area of the urban drainage system and perform regional drainage network topology analysis based on pipeline detection data within the monitoring area to obtain a regional drainage network topology map and system diagram. The first drawing and calculation module is used to draw first-level grid units based on the regional drainage network topology map and system diagram, combined with the terrain and population distribution characteristics of the urban drainage system monitoring area, and calculate the optimal number of monitoring points according to the economic grid area. The second drawing and calculation module is used to draw second-level and third-level grid units on the first-level grid unit according to the optimal number of monitoring points, combined with the terrain and population distribution characteristics of the urban drainage system monitoring area, and in accordance with the principle of equalizing grid area. The identification and selection module is used to identify the drainage pipe network outlets of the secondary and tertiary grid units and use them as the best monitoring points. It also selects the corresponding monitoring indicators according to the level of the grid unit and determines the monitoring equipment information to guide the installation and commissioning of the equipment based on the monitoring indicators.
7. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by the processor, it implements the grid-based monitoring deployment method for urban drainage systems as described in any one of claims 1-5.
8. A grid-based monitoring device for urban drainage systems, characterized in that: It includes a communication interface, a memory, a communication bus, and a processor, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; The memory is used to store computer programs; When the processor executes the program stored in the memory, it implements the steps of the grid-based monitoring deployment method for urban drainage systems as described in any one of claims 1-5.
Citation Information
Patent Citations
Intelligent monitoring system for operation safety of municipal water supply and drainage pipe network based on big data
CN112361218A
Urban drainage pipe network intelligent diagnosis method based on drainage model
CN113701060A