Sponge city-oriented rainfall flood landscape integration method and system

Abstract

The invention relates to a sponge city-oriented rainfall flood landscape integration method and system, and relates to the technical field of hydraulic engineering, and the method comprises the steps: obtaining predicted rainfall data; analyzing the predicted rainfall data to determine the landscape drainage speed and the key water accumulation position; preset rainfall flood landscape drainage is controlled according to the landscape drainage speed, and a preset negative pressure extraction device and a preset water pumping drainage device are arranged according to the key water accumulation position; acquiring real-time rainfall intensity; and the real-time rainfall intensity is analyzed so as to control the negative pressure extraction device and the water pumping drainage device to drain the rainfall to the rainfall flood landscape. The rainfall regulation and control method has the effects of improving the rainfall regulation and control efficiency and optimizing the rainfall regulation and control effect.

Description

Technical Field

[0001] This application relates to the technical field of water conservancy engineering, and in particular to a sponge city-oriented stormwater landscape integration method and system. Background Technology

[0002] Sponge city-oriented stormwater and landscape integration refers to the process of regulating urban precipitation by integrating stormwater management and landscape design systems based on the concept of sponge cities.

[0003] In related technologies, when storing and utilizing urban precipitation resources, it is common practice to set up storage tanks in green spaces or natural low-lying areas, and at the same time, to set up runoff and drainage layers and connecting overflow wells in impermeable areas such as roofs and roads, relying on the natural infiltration and gravity flow of rainwater to achieve rainwater storage and utilization.

[0004] Regarding the aforementioned technologies, when setting up stormwater storage tanks and diversion devices to store and utilize rainwater, situations may arise where rainfall exceeds the facility's absorption capacity or the rainfall speed is too fast, resulting in the inability to process the rainfall in a timely manner. This leads to poor rainfall regulation efficiency and room for improvement. Summary of the Invention

[0005] To improve the efficiency and optimize the effect of precipitation regulation, this application provides a sponge city-oriented stormwater landscape integration method and system.

[0006] Firstly, this application provides a sponge city-oriented method for integrating stormwater and landscape, employing the following technical solution: A sponge city-oriented integrated approach to stormwater and landscape management includes: Obtain forecast rainfall data; Analyze the predicted rainfall data to determine the landscape drainage rate and key waterlogging locations; The pre-set stormwater drainage is controlled according to the landscape drainage speed, and pre-set negative pressure extraction devices and pre-set water pumping and diversion devices are set up according to the key water accumulation locations. Obtain real-time rainfall intensity; The intensity of real-time rainfall is analyzed to control the negative pressure extraction device and the water diversion device to divert the rainfall to the stormwater landscape.

[0007] Optionally, the steps of analyzing predicted rainfall data to determine landscape drainage rates and key waterlogging locations include: Data extraction is performed on the predicted rainfall data to determine the regional predicted rainfall amount, regional predicted rainfall rate, and regional predicted rainfall time. Obtain historical waterlogging data and historical rainfall data; Historical waterlogging data, historical rainfall data, regional predicted rainfall, and regional predicted rainfall rate are analyzed to determine the regional predicted waterlogging volume, water storage occupancy factor, and key waterlogging locations. The predicted rainfall time, water storage occupancy factor, and predicted water accumulation in the region were analyzed to determine the landscape drainage rate.

[0008] Optionally, the steps of analyzing historical waterlogging data, historical rainfall data, regional predicted rainfall, and regional predicted rainfall rate to determine regional predicted waterlogging volume, water storage occupancy factor, and key waterlogging locations include: Obtain regional construction base map and regional water storage parameters; Based on regional water storage parameters, regional construction base map, historical rainfall data, and historical water accumulation data, a pre-set water flow simulation model is trained to determine the regional water flow model; Acquire forward flow data; Forward flow data is input into the regional flow model to determine the water storage occupancy factor; The water storage occupancy factor, regional predicted rainfall, and regional predicted rainfall velocity are input into the regional flow model to determine the regional predicted water accumulation and key water accumulation locations.

[0009] Optionally, the steps of analyzing regional predicted rainfall time, water storage occupancy factor, and regional predicted water volume to determine landscape drainage velocity include: Obtain the total water storage capacity of the landscape; Data on water storage occupancy factors were extracted to determine landscape occupancy factors; Calculate the product of the total water storage of the landscape and the landscape occupancy factor to determine the current water volume of the landscape; Calculate the sum of the predicted water accumulation in the region to determine the total water accumulation in the region; The total water accumulation in the area is calculated by multiplying it by a preset error safety factor to determine the landscape reserve capacity. Calculate the difference between the total water storage capacity of the landscape and the reserved water storage capacity of the landscape to determine the target remaining water volume; The difference between the existing water volume of the landscape and the target remaining water volume is truncated non-negatively to determine the target discharge volume. Calculate the quotient between the target drainage volume and the predicted rainfall time in the area to determine the landscape drainage rate.

[0010] Optionally, the steps of analyzing real-time rainfall intensity to control the negative pressure extraction device and the pumping and diversion device to divert precipitation to the stormwater landscape include: The real-time rainfall intensity is extracted according to the preset sliding extraction window to determine the sliding rainfall intensity; Calculate the average value of the sliding rainfall intensity to determine the mean of the sliding rainfall intensity; Calculate the product of the average sliding rainfall intensity and the preset negative pressure control factor to determine the theoretical negative pressure value; The theoretical negative pressure value was analyzed to control the negative pressure extraction device and the water diversion device to divert precipitation to the stormwater landscape.

[0011] Optionally, analyzing the theoretical negative pressure value to control the negative pressure extraction device and the water diversion device to divert precipitation to the stormwater landscape includes the following steps: Determine whether the theoretical negative pressure value is greater than the preset maximum negative pressure value; If it is greater than that, then the maximum negative pressure value will be determined as the dynamic negative pressure parameter; If it is not greater than, then the theoretical negative pressure value is determined as the dynamic negative pressure parameter; The negative pressure extraction device is controlled to divert precipitation based on dynamic negative pressure parameters; Obtain real-time ground water accumulation; Analyze the real-time ground water accumulation to control the negative pressure extraction device and water diversion device to divert the precipitation.

[0012] Optionally, the steps of analyzing real-time groundwater accumulation to control the drainage of precipitation using negative pressure extraction and pumping devices include: Determine whether the real-time ground water accumulation exceeds the preset ground water accumulation threshold; If it is not greater than, the real-time water accumulation on the ground will be continuously obtained and the judgment will be made in a loop. If the value is greater than the threshold, the negative pressure extraction device will stop working, and data will be extracted from the water accumulation threshold on the ground according to the sliding extraction window to determine the sliding water accumulation volume. Calculate the average growth rate of sliding water volume to determine the mean growth rate of water accumulation; Calculate the average value of sliding water accumulation to determine the average surface water volume; The average water accumulation growth rate and the average surface water volume are input into a preset differential control model to determine the dynamic pumping flow rate. The rainwater is diverted by a pumping and diversion device controlled by dynamic pumping flow rate.

[0013] Secondly, this application provides a sponge city-oriented integrated stormwater and landscape system, which adopts the following technical solution: A sponge city-oriented integrated stormwater landscape system includes: The acquisition module is used to acquire predicted rainfall data and real-time rainfall intensity. A memory for storing a program for a sponge city-oriented stormwater landscape integration method as described in any of the preceding claims; The processor and the program in the memory can be loaded and executed by the processor to implement a sponge city-oriented stormwater landscape integration method as described in any of the above.

[0014] In summary, this application includes at least one of the following beneficial technical effects: 1. By analyzing the predicted rainfall data, the drainage rate of the stormwater landscape is determined based on the precipitation corresponding to the predicted rainfall data, as well as the key water accumulation locations derived from historical rainfall data. Then, the drainage of the stormwater landscape is controlled according to the landscape drainage rate, and negative pressure extraction devices and water diversion devices are deployed according to the key water accumulation locations. Real-time rainfall data is then acquired, and the negative pressure extraction devices and water diversion devices are controlled according to the real-time rainfall data to divert the precipitation into the stormwater landscape, thereby improving the efficiency of precipitation regulation. 2. By training a water flow extrapolation model using regional water storage parameters, regional construction base maps, historical rainfall data, and historical water accumulation data, a regional water flow model is determined to extrapolate regional water accumulation. Forward water flow data is then acquired and input into the regional water flow model to extrapolate the water storage occupancy factors of all areas within the region corresponding to the predicted rainfall time. The water storage occupancy factors, the predicted regional rainfall, and the predicted regional rainfall rate are then input into the regional water flow model to determine the predicted regional water accumulation and key water accumulation locations. Thus, based on the water flow extrapolation model, the regional water accumulation situation is extrapolated, improving the accuracy of regional water accumulation prediction results and the precision of landscape pre-drainage. 3. By determining whether the real-time water accumulation exceeds the ground water accumulation threshold, the system continuously acquires and iteratively judges the real-time water accumulation when it is below the threshold. When the real-time water accumulation exceeds the threshold, the negative pressure extraction device stops working, and data on the ground water accumulation threshold is extracted based on the sliding extraction window to determine the sliding water accumulation. The average growth rate and mean of the sliding water accumulation are then calculated to determine the average water accumulation growth rate and the average ground water accumulation. Finally, a differential control model determines the dynamic pumping volume based on the average water accumulation growth rate and the average ground water accumulation. The dynamic pumping volume controls the drainage device to divert the rainwater. Thus, when rainfall is low and there is no large amount of water accumulation, the negative pressure extraction device accelerates rainwater infiltration. When rainfall is high and there is a large amount of water accumulation, the drainage device quickly diverts the water to the stormwater landscape, thereby optimizing the rainfall control effect. Attached Figure Description

[0015] Figure 1 This is a flowchart of a sponge city-oriented stormwater landscape integration method in an embodiment of this application.

[0016] Figure 2 This is a flowchart illustrating the analysis of predicted rainfall data in this application to determine landscape drainage rate and key waterlogging locations.

[0017] Figure 3This is a flowchart illustrating the analysis of historical waterlogging data, historical rainfall data, regional predicted rainfall, and regional predicted rainfall rate in this application embodiment to determine the regional predicted waterlogging volume, water storage occupancy factor, and key waterlogging locations.

[0018] Figure 4 This is a flowchart illustrating the analysis of regional predicted rainfall time, water storage occupancy factor, and regional predicted water accumulation in this application embodiment to determine the landscape drainage rate.

[0019] Figure 5 This is a flowchart in this application embodiment of analyzing real-time rainfall intensity to control the negative pressure extraction device and the water diversion device to divert precipitation to the rainwater landscape.

[0020] Figure 6 This is a flowchart in this application embodiment of analyzing the theoretical negative pressure value to control the negative pressure extraction device and the water diversion device to divert precipitation to the rainwater landscape.

[0021] Figure 7 This is a flowchart illustrating how real-time ground water accumulation is analyzed in order to control the negative pressure extraction device and the water diversion device to divert precipitation, as described in this embodiment of the application. Detailed Implementation

[0022] To make the purpose, technical solution, and advantages of this application clearer, the following description is provided in conjunction with the appendix. Figures 1 to 7 The present application will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the application.

[0023] This application discloses a sponge city-oriented stormwater landscape integration method and system, specifically disclosing a processing terminal, a stormwater landscape, a negative pressure extraction device, and a water pumping and diversion device. The processing terminal is communicatively connected to the stormwater landscape, the negative pressure extraction device, and the water pumping and diversion device to achieve information interaction and control. The processing terminal acquires predicted rainfall data, analyzes the predicted rainfall data, determines the landscape drainage speed for pre-drainage of the stormwater landscape based on the corresponding precipitation amount, and identifies key water accumulation locations derived from historical rainfall data. The drainage of the stormwater landscape is then controlled according to the landscape drainage speed, and the negative pressure extraction device and water pumping and diversion device are deployed according to the key water accumulation locations. Real-time rainfall data is then acquired, and the negative pressure extraction device and water pumping and diversion device are controlled according to the real-time rainfall data to divert precipitation into the stormwater landscape, thereby improving the efficiency of precipitation regulation.

[0024] Reference Figure 1 This application discloses a sponge city-oriented stormwater landscape integration method, including the following steps: Step S100: Obtain predicted rainfall data.

[0025] Among them, the predicted rainfall data refers to the most recent predicted rainfall data determined by the gas phase forecasting model in the area where the rain and flood landscape is located. It includes the regional predicted rainfall amount, regional predicted rainfall rate, and regional predicted rainfall time. The data is obtained by the processing terminal through accessing the meteorological prediction data interface and then integrated to determine the data.

[0026] Step S101: Analyze the predicted rainfall data to determine the landscape drainage rate and key waterlogging locations.

[0027] Here, landscape drainage rate refers to the drainage speed used to control stormwater drainage during rainfall. Key waterlogging locations refer to areas within the stormwater landscape area prone to water accumulation during rainfall. Both are determined by the processing terminal through analysis of predicted rainfall data; specific analysis steps are detailed below. Figure 2 The steps in the process.

[0028] Step S102: Control the preset stormwater landscape drainage according to the landscape drainage speed, and set up preset negative pressure extraction devices and preset water pumping and diversion devices according to the key water accumulation locations.

[0029] Among them, stormwater landscape refers to a collaborative system that integrates urban stormwater control systems with ecological landscapes such as lakes and rain gardens, based on the concept of sponge cities. By setting up water flow pipeline systems and pumping diversion devices at key waterlogged locations, the water accumulated on the road surface during stormwater is pumped into the stormwater landscape to achieve dynamic scheduling of precipitation. The water flow treatment area corresponding to the stormwater landscape is delineated based on the water storage capacity of the stormwater landscape and the average precipitation and precipitation fluctuations in the surrounding area.

[0030] A negative pressure extraction device is a vacuum extraction device installed in underground infiltration cavities at key water accumulation locations. This device creates negative pressure below the key water accumulation locations to accelerate rainwater infiltration, thereby optimizing the rainwater treatment effect. A closed negative pressure cavity is set up below the diversion hole or soil layer of the permeable pavement at the key water accumulation location by means of an impermeable membrane. The bottom of the negative pressure cavity is in contact with the soil layer, and the top of the cavity is connected to the surface water through the permeable pavement or diversion hole. The air in the cavity is extracted by a vacuum pump to create negative pressure, thereby accelerating the infiltration of rainwater into the ground.

[0031] A pumping and diversion device refers to a variable frequency pumping device installed at key water accumulation locations. This device connects the rainwater inlets, collection wells, and rainwater pipe networks along the road at key water accumulation locations to the stormwater landscape in the area where the key water accumulation locations are located, thereby realizing the pumping of water from the road surface into the stormwater landscape and achieving dynamic scheduling of precipitation.

[0032] After determining the landscape drainage rate, the gate opening is determined based on the landscape drainage rate, thereby controlling the free discharge of surface water from landscape facilities such as landscape lakes and regulating ponds in the stormwater landscape to the municipal stormwater pipe network, downstream river channels, or dedicated reservoirs according to the landscape drainage rate. The discharged surface water is naturally purified by the stormwater landscape, reducing the pollutant content. At the same time, when laying the stormwater landscape waterway network, negative pressure extraction devices and water diversion devices are installed at key water accumulation locations, as well as the drainage pipe network connecting the water diversion devices to the stormwater landscape.

[0033] Step S103: Obtain real-time rainfall intensity.

[0034] Among them, real-time rainfall intensity refers to the rainfall intensity detected in real time during the rainfall process. For example, at the current moment, the real-time rainfall intensity at location A in the region is 20 mm / h, and the rainfall intensity at location B in the region is 16 mm / h. The processing terminal determines the rainfall intensity by directly retrieving the measurement data from the rain gauge, associating the measurement data with the measurement time, and storing the rainfall intensity in chronological order.

[0035] Step S104: Analyze the real-time rainfall intensity to control the negative pressure extraction device and the water diversion device to divert the precipitation to the stormwater landscape.

[0036] The process involves acquiring real-time rainfall intensity and analyzing it to control the negative pressure extraction device and the water diversion device to direct the rainfall to the stormwater landscape, thereby improving the efficiency of rainfall treatment. Specific analysis steps are detailed below. Figure 5 The steps in the process.

[0037] Reference Figure 2 The steps involved in analyzing predicted rainfall data to determine landscape drainage rates and key waterlogging locations include: Step S200: Extract data from the predicted rainfall data to determine the regional predicted rainfall amount, regional predicted rainfall rate, and regional predicted rainfall time.

[0038] Among them, the regional predicted rainfall refers to the refined rainfall prediction data for the corresponding area of ​​the stormwater landscape, such as a predicted rainfall of 10 mm at location A and 20 mm at location B in the region. The regional predicted rainfall velocity refers to the refined rainfall velocity prediction data for the corresponding area of ​​the stormwater landscape, such as a rainfall velocity of 10 mm / h at location C and 15 mm / h at location D in the region. The regional predicted rainfall time refers to the predicted earliest rainfall start time for the corresponding area of ​​the stormwater landscape. All of the above data are determined by the processing terminal through data extraction from the predicted rainfall data.

[0039] Step S201: Obtain historical water accumulation data and historical rainfall data.

[0040] Among them, historical water accumulation data refers to the historical water accumulation data in the area corresponding to the rain and flood landscape. This includes the remaining water accumulation in the area after each rainfall, the amount of water pumped out by the pumping device, and the location data of the water accumulation corresponding to the water accumulation. The processing terminal determines the data by retrieving the water accumulation data and water accumulation treatment data stored in the historical database and integrating the water accumulation-related data.

[0041] Historical rainfall data refers to rainfall data within the corresponding area of ​​the rain-flood landscape, including the refined rainfall amount, refined rainfall intensity, and refined rainfall time of the area in history. It is determined by the processing terminal through extraction and integration of the measured rainfall data in the historical database.

[0042] Step S202: Analyze historical water accumulation data, historical rainfall data, regional predicted rainfall amount, and regional predicted rainfall rate to determine the regional predicted water accumulation amount, water storage occupancy factor, and key water accumulation locations.

[0043] Among them, the regional predicted water accumulation refers to the surface water depth and volume data at specific locations within the corresponding stormwater landscape area. This data is generated based on the region's natural runoff and does not undergo stormwater landscape regulation processing. The water storage occupancy factor refers to the proportion of water storage space occupied at each specific location within the corresponding stormwater landscape area. The key water accumulation locations are consistent with those in step S101. All the above data are determined by the processing terminal through analysis of historical water accumulation data, historical rainfall data, regional predicted rainfall, and regional predicted rainfall rate. Specific analysis steps are detailed below. Figure 3 The steps in the process.

[0044] Step S203: Analyze the predicted rainfall time, water storage occupancy factor, and predicted water accumulation in the region to determine the landscape drainage rate.

[0045] The landscape drainage rate is consistent with that in step S101, and is determined by the treatment terminal through analysis of the predicted rainfall time, water storage occupancy factor, and predicted water accumulation in the region. Specific analysis steps are detailed below. Figure 4 The steps in the process.

[0046] Reference Figure 3 The steps for analyzing historical waterlogging data, historical rainfall data, regional predicted rainfall, and regional predicted rainfall rate to determine regional predicted waterlogging volume, water storage occupancy factor, and key waterlogging locations include: Step S300: Obtain the regional construction base map and regional water storage parameters.

[0047] Among them, the regional construction base map refers to the spatial dataset of the area corresponding to the stormwater landscape, including a high-precision digital elevation model, specific classifications of underlying surfaces such as roofs, roads, green spaces and water bodies, the topological structure of road stormwater pipe network data, and static geographic data of the boundaries of the catchment area. The processing terminal delineates the base map range based on the area corresponding to the stormwater landscape through online access to the geographic information system platform, and integrates and determines the geographic data based on the delineated range.

[0048] Regional water storage parameters refer to water storage-related parameter data associated with the regional construction base map, including the total water storage volume of each region and the relevant engineering parameters of rainwater regulation and storage facilities. The processing terminal first imports the design parameters of the sponge city and the setting parameters of the regulation and storage facilities in the area where the stormwater landscape is located, and then associates the relevant parameters with the corresponding setting areas in the regional construction base map to determine the parameters.

[0049] Step S301: Train a preset water flow model based on regional water storage parameters, regional construction base map, historical rainfall data, and historical water accumulation data to determine the regional water flow model.

[0050] The water flow simulation model is based on the principles of mass and momentum conservation. It divides the area to be simulated into multiple sub-regions, pipe network nodes, and storage units according to the base map and water storage parameters set on the map. Based on the rainfall data set by the system and the adjustable water storage parameters corresponding to each storage unit and catchment node, such as the valve opening of the storage facility and the water storage ratio of the catchment node, the model sequentially solves the water balance and water flow equations for each stage at each time step. This model simulates the regional water flow on the base map of the area to be simulated. In the runoff generation stage, the runoff coefficient method is used to calculate the net surface rainfall, and in the runoff collection stage, the Manning formula is used to calculate the water flow velocity. For the stormwater pipe network topology, a one-dimensional Saint-Venant solution is provided. The equation system simulates the water flow propagation process. For the storage unit, a water balance equation is established, and the water storage depth and overflow process of the storage unit are dynamically updated. By simultaneously solving the water flow equation system of all sub-regions, pipe network nodes, and storage units, and taking the rainfall amount for each time period and adjustable water storage parameters such as the valve opening of the storage facility and the water storage ratio of the water catchment node as inputs, which can be freely set to simulate the rainwater backflow under different storage parameters, the system outputs the sequence of water level, flow rate, water depth, and water volume data of the storage facility at each point in the region over time. This achieves the simulation of the entire process from precipitation to water accumulation in the region. At the same time, the values ​​of precipitation to water accumulation throughout the entire time period can also be input into the simultaneous equation system to determine the adjustable storage parameters corresponding to precipitation and water accumulation.

[0051] A regional flow model is a flow projection model constructed based on the regional construction base map, regional water storage parameters, and corresponding historical rainfall data of the stormwater landscape area. The processing terminal inputs the regional construction base map, regional water storage parameters, historical rainfall data, and historical water accumulation data into the flow projection model. The flow projection model determines the relevant parameters of rainwater generation, infiltration, runoff, and adjustable regulation and storage in the region by adjusting the measured precipitation data and the corresponding water accumulation volume. These parameters include the proportion of water storage at each point in the region and the proportion of water storage in regulation and storage facilities. This ensures that the water accumulation depth and flow rate at each point in the region determined by the model fit the historical data, thus obtaining a flow projection model based on the actual topology of the stormwater landscape area and the actual rainwater runoff parameters.

[0052] Step S302: Obtain forward flow data.

[0053] Among them, forward flow data refers to the continuous precipitation and water accumulation data of the region, which starts from the end time of historical rainfall data and ends at the current time. It is determined by the processing terminal by extracting measured data of rainfall and water accumulation from the end time of historical rainfall data.

[0054] Step S303: Input the forward flow data into the regional flow model to determine the water storage occupancy factor.

[0055] The water storage occupancy factor is consistent with the water storage occupancy factor in step S202. The processing terminal inputs the forward flow data into the regional flow model and sets the regional flow model to the position of the final time node corresponding to the historical rainfall data. After determining the water storage occupancy ratio of each point in the region obtained at this time, the forward flow data is input into the model for further deduction to determine the water storage ratio of each point in the region at the predicted rainfall time, which is the water storage occupancy factor.

[0056] Step S304: Input the water storage occupancy factor, regional predicted rainfall, and regional predicted rainfall rate into the regional water flow model to determine the regional predicted water accumulation and key water accumulation locations.

[0057] The regional predicted water accumulation is consistent with the regional predicted water accumulation in step S202, and is determined by the processing terminal by inputting the water storage occupancy factor, regional predicted rainfall and regional predicted rainfall rate into the regional water flow model.

[0058] The key water accumulation location is consistent with the key water accumulation location in step S202. The processing terminal determines the key water accumulation location corresponding to the predicted rainfall data by inputting the water storage occupancy factor, the regional predicted rainfall amount, and the regional predicted rainfall rate into the regional water flow model. After integrating the key water accumulation location determined by the regional water flow model, the key water accumulation location is determined by combining the key water accumulation location and the key water accumulation location.

[0059] Reference Figure 4 The steps for determining landscape drainage velocity by analyzing regional predicted rainfall time, water storage occupancy factor, and regional predicted water accumulation include: Step S400: Obtain the total water storage of the landscape.

[0060] The total water storage capacity of the landscape refers to the total water storage capacity used for water storage in the stormwater landscape, which is determined by the treatment terminal by retrieving the water storage parameters of the stormwater landscape.

[0061] Step S401: Extract data on water storage occupancy factors to determine landscape occupancy factors.

[0062] Among them, the landscape occupancy factor refers to the proportion of total landscape water storage occupied at the time of predicted rainfall in the region. It is determined by the processing terminal by extracting the water storage occupancy factor corresponding to the rainwater landscape from the water storage occupancy factor.

[0063] Step S402: Calculate the product of the total water storage of the landscape and the landscape occupancy factor to determine the existing water volume of the landscape.

[0064] Among them, the existing water volume of the landscape refers to the existing water storage volume within the stormwater landscape, which is determined by the treatment terminal by calculating the product of the total water storage volume of the landscape and the landscape occupancy factor.

[0065] Step S403: Calculate the sum of the predicted water accumulation in the area to determine the total water accumulation in the area.

[0066] The total regional water accumulation refers to the total water accumulation in the area where the stormwater landscape is located, which is generated by predicted rainfall without the stormwater landscape management system in place.

[0067] Step S404: Calculate the product of the total water accumulation in the area and the preset error safety factor to determine the landscape reserve capacity.

[0068] Among them, the error safety factor refers to the error factor used to amplify the predicted value of total water volume. It is determined by the operator based on the fluctuation of the deviation between the predicted data and the actual data after statistically comparing the historical predicted data and the actual data of water volume.

[0069] Landscape reserve capacity refers to the amount of water that should be reserved for the landscape to cope with rainfall and floods. It is determined by the treatment terminal by calculating the product of the total water accumulation in the area and the error safety factor.

[0070] Step S405: Calculate the difference between the total water storage capacity of the landscape and the reserved water storage capacity of the landscape to determine the target remaining water volume.

[0071] The target remaining water volume refers to the remaining water volume that the stormwater landscape should achieve at the corresponding time of the predicted rainfall in the region in order to absorb accumulated water. It is determined by the treatment terminal by calculating the difference between the total water storage of the landscape and the reserved water storage of the landscape.

[0072] Step S406: Perform a non-negative truncation on the difference between the existing water volume and the target remaining water volume in the landscape to determine the target discharge volume.

[0073] The target discharge volume refers to the amount of water that the stormwater landscape should discharge in order to reach the target remaining water volume. The treatment terminal first calculates the difference between the current water volume of the landscape and the target remaining water volume, and then performs a non-negative truncation on the difference between the current water volume of the landscape and the target remaining water volume. Thus, when the current water volume of the landscape is greater than the target remaining water volume, the excess water is discharged, and when the current water volume of the landscape is less than the target remaining water volume, the water stored in the landscape is not treated.

[0074] Step S407: Calculate the quotient of the target drainage volume and the predicted rainfall time in the area to determine the landscape drainage rate.

[0075] The landscape drainage rate is consistent with the landscape drainage rate in step S203, and is determined by the treatment terminal by calculating the quotient of the target discharge volume and the predicted rainfall time in the area.

[0076] Reference Figure 5 The steps for analyzing real-time rainfall intensity to control the negative pressure extraction device and water diversion device to divert precipitation to the stormwater landscape include: Step S500: Extract real-time rainfall intensity data according to the preset sliding extraction window to determine the sliding rainfall intensity.

[0077] The sliding extraction window refers to a sliding time window used to extract centralized data of real-time rainfall intensity or real-time ground water accumulation. The sliding window takes the current time as the end point of the window and extracts a segment of real-time rainfall intensity or real-time ground water accumulation data within the length of the time window. The length of the sliding window is determined by the operator based on the effective judgment length of the rainfall change rate and the data accuracy requirements of the device.

[0078] Sliding rainfall intensity refers to the real-time rainfall intensity determined by the sliding extraction window. The processing terminal extracts and determines the real-time rainfall intensity data based on the sliding extraction window.

[0079] Step S501: Calculate the average value of the sliding rainfall intensity to determine the average sliding rainfall intensity.

[0080] The mean sliding rainfall intensity refers to the average value of the sliding rainfall intensity, which is determined by the processing terminal by calculating the average value of the sliding rainfall intensity.

[0081] Step S502: Calculate the product of the average sliding rainfall intensity and the preset negative pressure control factor to determine the theoretical negative pressure value.

[0082] Among them, the negative pressure control factor refers to the fitting conversion factor between the sliding rainfall intensity mean and the theoretical negative pressure value. It is determined by the operator through setting up offline precipitation simulation experiments at key water accumulation locations, setting different negative pressure values ​​under different sliding rainfall intensity mean to accelerate the infiltration of rainwater into the road. After determining the critical value of the optimal negative pressure corresponding to multiple sets of sliding rainfall intensity mean to enable rainwater to infiltrate in time and not produce water accumulation, the sliding rainfall intensity mean and the optimal negative pressure value are linearly fitted to determine the value.

[0083] The theoretical negative pressure value refers to the theoretical value of the negative pressure determined based on sliding rainfall intensity data. It is determined by the processing terminal by calculating the product of the average sliding rainfall intensity and the preset negative pressure control factor, providing data support for the subsequent determination of dynamic negative pressure parameters.

[0084] Step S503: Analyze the theoretical negative pressure value to control the negative pressure extraction device and the water diversion device to divert the precipitation to the stormwater landscape.

[0085] After determining the theoretical negative pressure value, the value is analyzed to control the negative pressure extraction device and the water diversion device to divert precipitation to the stormwater landscape, thereby optimizing the precipitation treatment effect. Specific analysis steps are detailed below. Figure 6 The steps in the process.

[0086] Reference Figure 6 The steps for analyzing theoretical negative pressure values ​​to control the negative pressure extraction device and water diversion device to divert precipitation to the stormwater landscape include: Step S600: Determine whether the theoretical negative pressure value is greater than the preset maximum negative pressure value.

[0087] The maximum negative pressure value refers to the upper limit of the negative pressure value of the negative pressure extraction device. The operator determines the maximum negative pressure value based on the shear strength of the soil in the key water accumulation area, which will not cause damage to the soil structure or excessive compaction. The maximum negative pressure value is further limited by the distribution of plant roots and the maximum water washing force that the plant can withstand.

[0088] The terminal determines whether the theoretical negative pressure value is greater than the maximum negative pressure value, thereby determining whether the negative pressure extraction device can be controlled to extract precipitation under negative pressure based on the theoretical negative pressure value.

[0089] Step S601: If it is greater than, then the maximum negative pressure value is determined as the dynamic negative pressure parameter.

[0090] If the processing terminal determines that the theoretical negative pressure value is greater than the maximum negative pressure value, it indicates that the theoretical calculation result exceeds the actual negative pressure value limit and cannot be implemented. Therefore, the maximum negative pressure value is determined as the dynamic negative pressure parameter.

[0091] Dynamic negative pressure parameter refers to the magnitude of negative pressure that controls the negative pressure extraction device to extract precipitation and accelerate precipitation infiltration. It is determined by the treatment terminal based on the maximum negative pressure value after determining that the theoretical negative pressure value is greater than the maximum negative pressure value.

[0092] Step S602: If it is not greater than, then the theoretical negative pressure value is determined as the dynamic negative pressure parameter.

[0093] If the processing terminal determines that the theoretical negative pressure value is not greater than the maximum negative pressure value, it indicates that the theoretical calculation result has not exceeded the actual negative pressure value limit and can be implemented. Therefore, the theoretical negative pressure value is determined as the dynamic negative pressure parameter.

[0094] The dynamic negative pressure parameter is consistent with the dynamic negative pressure parameter in step S601. It is determined by the processing terminal based on the theoretical negative pressure value after determining that the theoretical negative pressure value is not greater than the maximum negative pressure value.

[0095] Step S603: Control the negative pressure extraction device to divert precipitation according to the dynamic negative pressure parameters.

[0096] In this process, after determining the dynamic negative pressure parameters, the negative pressure extraction device is controlled to divert precipitation based on the dynamic negative pressure parameters. Thus, when the precipitation is low and the soil water absorption has not reached saturation, the dynamic negative pressure parameters of the negative pressure extraction device are determined based on the real-time rainfall intensity, thereby optimizing the precipitation treatment effect.

[0097] Step S604: Obtain the real-time water accumulation on the ground.

[0098] Among them, the real-time ground water volume refers to the real-time water volume at key water accumulation locations. When the pumping and drainage device is not activated, the real-time water volume is the water volume on the ground at the key water accumulation location. When the pumping and drainage device is activated, the real-time water volume is the water volume on the ground plus the water volume pumped out by the pumping and drainage device within the same time step. The processing terminal first retrieves the road surface water level sensor and the real-time water depth at the key water accumulation location, and combines it with the water depth relationship curve pre-mapped at the key water accumulation location to convert the measured water depth into water volume. After determining the real-time water volume on the road surface, the total water volume pumped out by the pumping and drainage device within the current time and the activation time of the pumping and drainage device is used to calculate the sum of the surface water volume and the pumped water volume.

[0099] Step S605: Analyze the real-time ground water accumulation to control the negative pressure extraction device and the water diversion device to divert the precipitation.

[0100] After determining the real-time surface water volume, the volume is analyzed to control the negative pressure extraction device and the water diversion device to divert the precipitation. Specific analysis steps are detailed below. Figure 7 The steps in the process.

[0101] Reference Figure 7 The steps for analyzing real-time ground water accumulation to control the drainage of precipitation using negative pressure extraction devices and water diversion devices include: Step S700: Determine whether the real-time water accumulation on the ground is greater than the preset water accumulation threshold.

[0102] Among them, the ground water accumulation threshold refers to the lower limit of the water volume at the key water accumulation location corresponding to the activation of the water pumping and diversion device. It is used to activate the water pumping and diversion device to extract the water on the road surface when the real-time ground water volume exceeds the threshold when the water pumping and diversion device is not activated. The operator calibrates the system based on the road water volume limit, the water accumulation response speed of the negative pressure extraction device when extracting water, and the corresponding maximum water volume.

[0103] The processing terminal determines whether the real-time water accumulation on the ground when the pumping and drainage device is not activated is greater than the water accumulation threshold, thereby determining whether the soil water absorption at key water accumulation locations is saturated and whether it is necessary to activate the pumping and drainage device to extract the water from the ground.

[0104] Step S701: If it is not greater than, then continuously obtain the real-time water accumulation on the ground and perform cyclic judgment.

[0105] If the processing terminal determines that the real-time ground water accumulation is not greater than the ground water accumulation threshold, it indicates that the soil water absorption at the key water accumulation location is not saturated. Therefore, the negative pressure absorption device is controlled to continue to accelerate rainwater infiltration, while continuously acquiring the real-time ground water accumulation for cyclical judgment, thereby monitoring the water accumulation situation at the key water accumulation location in real time and optimizing the rainwater treatment effect.

[0106] Step S702: If the value is greater than the threshold, the negative pressure extraction device is stopped, and data is extracted from the ground water accumulation threshold according to the sliding extraction window to determine the sliding water accumulation volume.

[0107] If the processing terminal determines that the real-time ground water accumulation is greater than the ground water accumulation threshold, it indicates that the soil at the key water accumulation location is saturated with water. Therefore, the negative pressure suction device is controlled to stop working, and the ground water accumulation threshold is extracted according to the sliding extraction window to determine the sliding water accumulation, providing data support for the subsequent determination of dynamic pumping flow rate.

[0108] Sliding water volume refers to the water volume data segment extracted in real time through a sliding extraction window. The processing terminal uses the current time as the end point of the sliding extraction window and controls the sliding extraction window to slide backward in real time to extract and determine the data.

[0109] Step S703: Calculate the average growth rate of sliding water volume to determine the mean growth rate of water volume.

[0110] The average growth rate of water accumulation refers to the average growth rate of sliding water accumulation, which is determined by the processing terminal by first calculating the growth rate of inter-point data of sliding water accumulation, and then calculating the average growth rate of inter-point data.

[0111] Step S704: Calculate the average value of sliding water accumulation to determine the average value of surface water accumulation.

[0112] Among them, the average surface water volume refers to the average surface water volume in the sliding water volume. It is determined by the processing terminal by first extracting the surface water volume in the real-time surface water volume corresponding to each data item in the sliding water volume, and then calculating the average surface water volume.

[0113] Step S705: Input the average water accumulation growth rate and the average surface water volume into the preset differential control model to determine the dynamic pumping flow rate.

[0114] The differential control model refers to an algorithm model that determines the dynamic pumping flow rate based on a linear combination of proportional control of water accumulation volume and differential control of water accumulation rate. The proportional term corresponding to the average surface water accumulation volume determines the base pumping flow rate proportional to the severity of water accumulation, while the average water accumulation growth rate provides a leading adjustment component proportional to the water accumulation growth rate. The specific model formula is as follows: .

[0115] In the formula, For dynamic pumping flow rate, The coefficient corresponding to the proportional term. These are the coefficients corresponding to the differential terms. Both are determined by operators through pumping water from key water accumulation locations. After identifying the critical values ​​for the optimal pumping flow rate corresponding to different volumes of water accumulation, the average above-ground water volume and the average rate of change of water volume are linearly fitted to the optimal pumping flow rate. This represents the average surface water volume. This represents the average rate of increase in water accumulation.

[0116] Dynamic pumping flow rate refers to the pumping flow rate of the pumping and diversion device corresponding to the current water accumulation growth rate. It is calculated and determined by the treatment terminal by inputting the average water accumulation growth rate and the average surface water volume into the differential control model.

[0117] Step S706: Control the pumping and diversion device to divert the precipitation according to the dynamic pumping flow rate.

[0118] In this process, after determining the dynamic pumping flow rate, the pumping and diversion device is controlled according to the dynamic pumping flow rate to extract the accumulated precipitation to the rainwater landscape.

[0119] Based on the same inventive concept, embodiments of this application provide a sponge city-oriented integrated stormwater landscape system, comprising: The acquisition module is used to acquire predicted rainfall data, real-time rainfall intensity, historical water accumulation data, historical rainfall data, regional construction base map, regional water storage parameters, forward water flow data, total landscape water storage, and real-time surface water accumulation. A memory for storing a program for a sponge city-oriented integrated stormwater and landscape approach; The processor can load and execute programs in memory to implement a sponge city-oriented stormwater landscape integration method.

[0120] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0121] The above are all preferred embodiments of this application and are not intended to limit the scope of protection of this application. Any feature disclosed in this specification (including the abstract and drawings) may be replaced by other equivalent or similar features unless specifically stated otherwise. That is, unless specifically stated otherwise, each feature is only one example of a series of equivalent or similar features.

Claims

1. A sponge city-oriented integrated method for stormwater and landscape management, characterized in that, include: Obtain forecast rainfall data; Analyze the predicted rainfall data to determine the landscape drainage rate and key waterlogging locations; The pre-set stormwater drainage is controlled according to the landscape drainage speed, and pre-set negative pressure extraction devices and pre-set water pumping and diversion devices are set up according to the key water accumulation locations. Obtain real-time rainfall intensity; The intensity of real-time rainfall is analyzed to control the negative pressure extraction device and the water diversion device to divert the rainfall to the stormwater landscape.

2. The sponge city-oriented stormwater landscape integration method according to claim 1, characterized in that, The steps involved in analyzing predicted rainfall data to determine landscape drainage rates and key waterlogging locations include: Data extraction is performed on the predicted rainfall data to determine the regional predicted rainfall amount, regional predicted rainfall rate, and regional predicted rainfall time. Obtain historical waterlogging data and historical rainfall data; Historical waterlogging data, historical rainfall data, regional predicted rainfall, and regional predicted rainfall rate are analyzed to determine the regional predicted waterlogging volume, water storage occupancy factor, and key waterlogging locations. The predicted rainfall time, water storage occupancy factor, and predicted water accumulation in the region were analyzed to determine the landscape drainage rate.

3. The sponge city-oriented stormwater landscape integration method according to claim 2, characterized in that, The steps for analyzing historical waterlogging data, historical rainfall data, regional predicted rainfall, and regional predicted rainfall rate to determine regional predicted waterlogging volume, water storage occupancy factor, and key waterlogging locations include: Obtain regional construction base map and regional water storage parameters; Based on regional water storage parameters, regional construction base map, historical rainfall data, and historical water accumulation data, a pre-set water flow simulation model is trained to determine the regional water flow model; Acquire forward flow data; Forward flow data is input into the regional flow model to determine the water storage occupancy factor; The water storage occupancy factor, regional predicted rainfall, and regional predicted rainfall velocity are input into the regional flow model to determine the regional predicted water accumulation and key water accumulation locations.

4. The sponge city-oriented stormwater landscape integration method according to claim 2, characterized in that, The steps for determining landscape drainage velocity by analyzing regional predicted rainfall time, water storage occupancy factor, and regional predicted water volume include: Obtain the total water storage capacity of the landscape; Data on water storage occupancy factors were extracted to determine landscape occupancy factors; Calculate the product of the total water storage of the landscape and the landscape occupancy factor to determine the current water volume of the landscape; Calculate the sum of the predicted water accumulation in the region to determine the total water accumulation in the region; The total water accumulation in the area is calculated by multiplying it by a preset error safety factor to determine the landscape reserve capacity. Calculate the difference between the total water storage capacity of the landscape and the reserved water storage capacity of the landscape to determine the target remaining water volume; The difference between the existing water volume of the landscape and the target remaining water volume is truncated non-negatively to determine the target discharge volume. Calculate the quotient between the target drainage volume and the predicted rainfall time in the area to determine the landscape drainage rate.

5. The sponge city-oriented stormwater landscape integration method according to claim 1, characterized in that, The steps for analyzing real-time rainfall intensity to control the negative pressure extraction device and the water diversion device to divert precipitation to the stormwater landscape include: The real-time rainfall intensity is extracted according to the preset sliding extraction window to determine the sliding rainfall intensity; Calculate the average value of the sliding rainfall intensity to determine the mean of the sliding rainfall intensity; Calculate the product of the average sliding rainfall intensity and the preset negative pressure control factor to determine the theoretical negative pressure value; The theoretical negative pressure value was analyzed to control the negative pressure extraction device and the water diversion device to divert precipitation to the stormwater landscape.

6. The sponge city-oriented stormwater landscape integration method according to claim 5, characterized in that, The steps for analyzing theoretical negative pressure values ​​to control the diversion of precipitation to the stormwater landscape using negative pressure extraction and drainage devices include: Determine whether the theoretical negative pressure value is greater than the preset maximum negative pressure value; If it is greater than that, then the maximum negative pressure value will be determined as the dynamic negative pressure parameter; If it is not greater than, then the theoretical negative pressure value is determined as the dynamic negative pressure parameter; The negative pressure extraction device is controlled to divert precipitation based on dynamic negative pressure parameters; Obtain real-time ground water accumulation; Analyze the real-time ground water accumulation to control the negative pressure extraction device and water diversion device to divert the precipitation.

7. A sponge city-oriented stormwater and landscape integration method according to claim 6, characterized in that, The steps for analyzing real-time ground water accumulation to control the drainage of precipitation using negative pressure extraction devices and water diversion devices include: Determine whether the real-time ground water accumulation exceeds the preset ground water accumulation threshold; If it is not greater than, the real-time water accumulation on the ground will be continuously obtained and the judgment will be made in a loop. If the value is greater than the threshold, the negative pressure extraction device will stop working, and data will be extracted from the water accumulation threshold on the ground according to the sliding extraction window to determine the sliding water accumulation volume. Calculate the average growth rate of sliding water volume to determine the mean growth rate of water accumulation; Calculate the average value of sliding water accumulation to determine the average surface water volume; The average water accumulation growth rate and the average surface water volume are input into a preset differential control model to determine the dynamic pumping flow rate. The rainwater is diverted by a pumping and diversion device controlled by dynamic pumping flow rate.

8. A sponge city-oriented integrated stormwater and landscape system, characterized in that, include: The acquisition module is used to acquire predicted rainfall data and real-time rainfall intensity. A memory for storing a program of a sponge city-oriented stormwater landscape integration method as described in any one of claims 1 to 7; The processor and the program in the memory can be loaded and executed by the processor to implement the sponge city-oriented stormwater landscape integration method as described in any one of claims 1 to 7.

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