Sponge facility overflow device arrangement method, system, apparatus, and program product

By comparing the comprehensive capacity parameters of sponge facilities with critical thresholds, a decision-making scheme for the layout of overflow devices is generated, which solves the problems of accuracy and economy in the layout of overflow devices in sponge city construction and improves the design efficiency and cost-effectiveness in the semi-arid northwest region.

CN121615211BActive Publication Date: 2026-05-19CHINA ACAD OF URBAN PLANNING & DESIGN
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA ACAD OF URBAN PLANNING & DESIGN
Filing Date
2025-11-24
Publication Date
2026-05-19

AI Technical Summary

Technical Problem

Existing technologies lack quantitative basis for sponge city construction, resulting in a lack of precision and economy in the layout of sponge facility overflow devices. This is especially true in the semi-arid northwest region where data is scarce, leading to high engineering decision-making costs and low efficiency.

Method used

By obtaining parameters such as the total catchment area, maximum storage volume, soil permeability coefficient, and design rainfall duration of the sponge city facilities, comprehensive capacity parameters are calculated and compared with the critical threshold of the design return period for urban flooding prevention to generate a decision-making scheme for the layout of overflow devices.

Benefits of technology

It enables rapid and scientific decision-making for the overflow device of sponge facilities, improves design efficiency, reduces engineering costs, and is suitable for the design of sponge facilities in the semi-arid Northwest region.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to a sponge facility overflow device arrangement method, system, equipment and program product. The method comprises the following steps: acquiring an overflow device decision parameter corresponding to a sponge facility; the overflow device decision parameter comprises a total catchment area of the sponge facility, a maximum detention volume of the sponge facility, a soil permeability coefficient, an effective infiltration area of the sponge facility and a design rainfall duration; based on the overflow device decision parameter, a comprehensive capacity parameter for representing rainwater treatment capacity of a unit catchment area of the sponge facility is calculated; a design rainfall corresponding to a waterlogging prevention design return period of a city where the sponge facility is located is acquired, and a critical threshold is determined; the comprehensive capacity parameter is compared with the critical threshold, and an overflow device arrangement decision scheme is generated based on the comparison result. By adopting the method, hydrological, geological and engineering geometric parameters can be integrated as decision indexes, subjectivity of traditional experience decision and complexity of model simulation are avoided, and rapid and scientific decision of the overflow device arrangement is realized.
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Description

Technical Field

[0001] This application relates to the field of sponge city construction technology, and in particular to a method for arranging overflow devices for sponge facilities, a system for arranging overflow devices for sponge facilities, computer equipment, and computer program products. Background Technology

[0002] Sponge city infrastructure refers to various facilities used in sponge city construction. These facilities utilize technologies such as infiltration, storage, and regulation to naturally accumulate and purify rainwater, thereby alleviating urban flooding and improving the water environment. Examples include permeable green spaces on rooftops, permeable paving, rain gardens, and eco-friendly parking spaces. Overflow devices for sponge city infrastructure can be understood as devices used to regulate peak rainwater runoff and prevent overloading of the infrastructure during continuous rainfall. Examples include perforated blind pipes installed under permeable paving and overflow wells placed in rain gardens and other similar facilities.

[0003] Currently, the decision on whether to install overflow devices for sponge city facilities mainly relies on engineers' experience or complex hydrological and hydraulic model simulations. Experience-based judgments are highly subjective, lack quantitative basis, and have low reliability. While model simulations are accurate, they require detailed basic data, professional technical personnel, and long calculation cycles. In some parts of my country, especially in the semi-arid northwest, where basic data is relatively scarce, the application cost and efficiency become constraints, making it difficult to meet the needs of rapid and widespread engineering decision-making.

[0004] In addition, there are other challenges in designing sponge city facilities overflow devices for the semi-arid Northwest region, including: the region has low annual rainfall but may experience more short-term heavy rainfall, large differences in soil permeability, the need to fully consider cost-effectiveness and risk resistance, and the fact that current design methods are mostly derived from the rainy areas in the south, which may lead to redundancy or inadequacy in the project if applied directly.

[0005] Therefore, there is an urgent need for a quantitative decision-making tool that can integrate local hydrological, geological, and engineering geometric parameters, and is easy to calculate, conceptually clear, and readily applicable, so as to at least solve the problems of accuracy and economy in the layout of overflow facilities in sponge city transformation. Summary of the Invention

[0006] Therefore, it is necessary to provide a method for arranging overflow devices in sponge facilities, a system for arranging overflow devices in sponge facilities, computer equipment, and computer program products to address the above-mentioned technical problems.

[0007] In a first aspect, this application provides a method for arranging an overflow device for a sponge city facility, the method comprising:

[0008] Obtain the overflow device decision parameters corresponding to the sponge facility; the overflow device decision parameters include the total catchment area of ​​the sponge facility, the maximum storage volume of the sponge facility, the soil permeability coefficient, the effective infiltration area of ​​the sponge facility, and the design rainfall duration;

[0009] Based on the overflow device decision parameters, a comprehensive capacity parameter is calculated to characterize the rainwater treatment capacity per unit catchment area of ​​the sponge facility.

[0010] Obtain the design rainfall corresponding to the design return period for urban flood control in the city where the sponge city facility is located, and determine a critical threshold accordingly;

[0011] By comparing the comprehensive capability parameters with the critical threshold, a decision-making scheme for the layout of the overflow device at the sponge facility is generated based on the comparison results.

[0012] In one embodiment, the step of calculating the comprehensive capability parameter based on the overflow device decision parameters includes:

[0013] According to the formula:

[0014] ;

[0015] The comprehensive capability parameters are calculated.

[0016] in, Characterized by the aforementioned comprehensive capability parameters; Characterized by the maximum storage capacity of the sponge facility; Characterized by the soil permeability coefficient; Characterized by the effective infiltration area of ​​the sponge facility; Characterized by the designed rainfall duration; It is characterized by the total catchment area of ​​the sponge facility.

[0017] In one embodiment, the step of determining the critical threshold based on the designed rainfall includes:

[0018] According to the formula:

[0019] ;

[0020] Determine the critical threshold;

[0021] in, Characterized as the critical threshold; Characterized as a safety redundancy coefficient; This is represented by the designed rainfall amount.

[0022] In one embodiment, the method further includes:

[0023] The determined critical threshold shall be modified by at least one of the following:

[0024] If the soil permeability coefficient is greater than a preset permeability threshold, the critical threshold is reduced accordingly.

[0025] When a seepage-proof layer is already installed at the bottom of the sponge facility, or when the slope of the site where the sponge facility is located is greater than a preset slope threshold, the contribution of the effective infiltration area is reduced when calculating the comprehensive capacity parameters, and the critical threshold is increased accordingly.

[0026] In one embodiment, the step of generating a layout decision scheme for the overflow device at the sponge facility based on the comparison results includes:

[0027] If the comprehensive capability parameter is not less than the critical threshold, a first decision scheme indicating that no overflow device should be installed is generated;

[0028] If the overall capability parameter is less than the critical threshold, a second decision scheme is generated indicating that an overflow device needs to be installed.

[0029] In one embodiment, the second decision scheme includes at least one of the following: recommended number of overflow devices, recommended placement location, and recommended specifications.

[0030] In one embodiment, the number of recommendations is determined based on the difference between the comprehensive capability parameter and the critical threshold;

[0031] And / or, the recommended location is determined based on at least one of the topographic slope of the sponge facility, the water flow path within the catchment area, or the location of low-lying points within the sponge facility;

[0032] And / or, the recommended specifications are determined based on the difference between the comprehensive capability parameter and the critical threshold and a pre-configured specifications database; the specifications database stores the mapping relationship between the difference between the comprehensive capability parameter and the critical threshold and the specifications of the overflow device.

[0033] Secondly, this application also provides a sponge city facility overflow device arrangement system, the system comprising:

[0034] The parameter acquisition module is used to acquire the overflow device decision parameters corresponding to the sponge facility; the overflow device decision parameters include the total catchment area of ​​the sponge facility, the maximum storage volume of the sponge facility, the soil permeability coefficient, the effective infiltration area of ​​the sponge facility, and the design rainfall duration;

[0035] The comprehensive parameter calculation module is used to calculate a comprehensive capacity parameter that characterizes the rainwater treatment capacity per unit catchment area of ​​the sponge facility based on the overflow device decision parameters.

[0036] The threshold determination module is used to obtain the design rainfall corresponding to the design return period of urban flood control in the city where the sponge facility is located, and determine a critical threshold accordingly.

[0037] The decision module is used to compare the comprehensive capability parameters with the critical threshold, and generate a decision plan for the layout of the overflow device at the sponge facility based on the comparison results.

[0038] Thirdly, embodiments of this application provide a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of a sponge facility overflow device arrangement method.

[0039] Fourthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the steps of a sponge facility overflow device arrangement method.

[0040] One of the aforementioned technical solutions offers the following advantages or beneficial effects: By acquiring key decision-making parameters for sponge city facilities (including total catchment area, maximum storage volume, soil permeability coefficient, effective infiltration area, and design rainfall duration), and calculating comprehensive capacity parameters characterizing the rainwater treatment capacity per unit catchment area, this is compared with a critical threshold determined based on the local urban flood control design rainfall. This enables rapid and scientific decision-making regarding overflow device placement. Specifically, by integrating hydrological, geological, and engineering geometric parameters as decision indicators, the subjectivity of traditional experience-based decision-making and the complexity of model simulation are overcome, making it particularly suitable for engineering scenarios in the relatively data-scarce semi-arid regions of Northwest China. The quantification of storage and infiltration capacities reflects the system effectiveness of sponge city facilities, allowing for the output of quantitative judgment criteria without complex models, significantly improving design efficiency and reducing engineering costs. Attached Figure Description

[0041] Figure 1 This is a flowchart illustrating the arrangement method of the overflow device of a sponge facility in one embodiment;

[0042] Figure 2 This is a flowchart illustrating the arrangement method of the overflow device for a sponge facility in another embodiment;

[0043] Figure 3 This is an application scenario diagram of the sponge facility overflow device arrangement method in one embodiment;

[0044] Figure 4 This is a structural block diagram of a sponge facility overflow device arrangement system in one embodiment;

[0045] Figure 5 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0046] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0047] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0048] The method for arranging overflow devices in sponge infrastructure provided in this application scientifically determines the installation requirements of overflow devices by quantitatively evaluating the rainwater treatment capacity per unit catchment area of ​​the sponge infrastructure and comparing it with a critical threshold. This method can be widely applied in the design of sponge infrastructure such as rain gardens and sunken green spaces in roads, buildings, residential areas, and green spaces in the semi-arid northwest region. Of course, it can also be applied to other areas where it is necessary to decide on the layout scheme of overflow devices for sponge infrastructure; there are no limitations on this application.

[0049] In one embodiment, such as Figure 1 As shown, a method for arranging an overflow device in a sponge city facility is provided, including the following steps:

[0050] S102, obtain the overflow device decision parameters corresponding to the sponge facility; the overflow device decision parameters include the total catchment area of ​​the sponge facility, the maximum storage volume of the sponge facility, the soil permeability coefficient, the effective infiltration area of ​​the sponge facility, and the design rainfall duration.

[0051] In this step, sponge city facilities include, but are not limited to, rain gardens, sunken green spaces, infiltration ponds, and bioretention facilities.

[0052] The total catchment area of ​​a sponge city facility can be understood as the total area of ​​the catchment area served by the sponge city facility, measured in square meters (m²). This total catchment area can be obtained through geographic information system measurement, engineering design drawings calculation, or on-site survey. Specifically, the total catchment area can be the sum of the area of ​​the sponge city facility itself, the hardened area and other impermeable areas of the catchment facilities, and the permeable area of ​​the catchment facilities.

[0053] Maximum retention capacity can be understood as the maximum volume of rainwater that a sponge city facility can temporarily store under design conditions, measured in cubic meters (m³). For example, for rain gardens, it can be calculated using their subsidence depth and effective water storage area. For permeable paving, the water storage capacity of its pores needs to be considered. Soil permeability coefficient, it should be noted, reflects the soil's ability to allow water to pass through, measured in meters per second (m / s). This parameter can be obtained through on-site double-ring infiltration tests, geological survey reports, or regional soil databases. In the semi-arid northwest region, due to significant differences in soil permeability, it is preferable to select a coefficient based on actual geological conditions.

[0054] Effective infiltration area can be understood as the area of ​​a sponge facility that actually participates in rainwater infiltration, measured in square meters (m²). Examples include the effective bottom area of ​​a bioretention facility and the permeable area of ​​permeable paving.

[0055] The design rainfall duration can be understood as the duration of the rainfall event used for design, and the unit is hours (h). In the semi-arid region of Northwest China, the value usually ranges from 2 to 4 hours to match the characteristics of short-duration heavy rainfall.

[0056] The above parameters can be obtained through manual input, sensor monitoring, or automatic retrieval from a pre-built database. The specific method of acquisition is not limited here.

[0057] S104, based on the overflow device decision parameters, calculates the comprehensive capacity parameter used to characterize the rainwater treatment capacity per unit catchment area of ​​the sponge facility.

[0058] The comprehensive capacity parameters mentioned above can be calculated by considering the total catchment area of ​​the sponge facility, the maximum retention volume of the sponge facility, the soil permeability coefficient, the effective infiltration area of ​​the sponge facility, and the design rainfall duration. The physical meaning of these parameters can be understood as the rainwater treatment capacity per unit catchment area, or the total amount of rainwater regulation and infiltration per unit catchment area, expressed in m³ / m². These parameters can intuitively reflect the synergistic effect of the sponge facility in terms of retention and infiltration.

[0059] S106, obtain the design rainfall corresponding to the design return period of urban flood control in the city where the sponge city facility is located, and determine a critical threshold accordingly.

[0060] In cities where sponge city facilities are located, the design return period for urban flood control can be understood as the frequency of rainstorm events that the urban flood control facilities (such as drainage networks, pumping stations, storage facilities, and natural water bodies) can withstand, such as a 30-year return period. The design rainfall corresponding to the design return period is the 24-hour design rainfall, expressed in millimeters (mm). This design rainfall needs to be calculated based on the latest approved rainstorm intensity formula for the project location. A pre-stored local rainstorm parameter database can be used to automatically match the 24-hour design rainfall corresponding to the target return period.

[0061] S108. Compare the comprehensive capability parameters with the critical threshold, and generate a layout decision scheme for the overflow device at the sponge city facility based on the comparison results.

[0062] This step compares the calculated comprehensive capacity parameters with the critical threshold: if the comprehensive capacity parameters are not less than the critical threshold, it indicates that the sponge city infrastructure has sufficient capacity, and a first decision plan indicating that no overflow device needs to be installed can be generated. If the comprehensive capacity parameters are less than the critical threshold, it indicates that the sponge city infrastructure has insufficient capacity, and a second decision plan indicating that an overflow device needs to be installed can be generated.

[0063] In the above embodiments of this application, the executing entity can be a computer device with certain computing capabilities, and of course, it can be selected and changed according to the actual situation.

[0064] In the above-described method for arranging overflow devices in sponge city facilities, key decision-making parameters of the sponge city facilities (including total catchment area, maximum storage volume, soil permeability coefficient, effective infiltration area, and design rainfall duration) are obtained. A comprehensive capacity parameter characterizing the rainwater treatment capacity per unit catchment area is calculated and compared with a critical threshold determined based on the local design rainfall for urban flood control. This enables rapid and scientific decision-making regarding overflow device placement. Specifically, by integrating hydrological, geological, and engineering geometric parameters into a one-dimensional index, the method overcomes the subjectivity of traditional experience-based decision-making and the complexity of model simulation, making it particularly suitable for engineering scenarios in the relatively data-scarce semi-arid regions of Northwest China. This method quantifies both storage and infiltration capacity, directly reflecting the system effectiveness of the sponge city facilities. It outputs quantitative judgment criteria without the need for complex models, significantly improving design efficiency and reducing engineering costs.

[0065] In one embodiment, S104 specifically includes: according to the formula:

[0066] ;

[0067] The comprehensive capability parameters are calculated.

[0068] in, Characterized as comprehensive capability parameters; Characterized as the maximum storage capacity of sponge city facilities; Characterized by soil permeability coefficient; Characterized by the effective infiltration area of ​​the sponge city facility; Characterized by the design rainfall duration; This is represented by the total catchment area of ​​the sponge city infrastructure. In the above formula, The infiltration capacity of sponge city facilities can be converted into an equivalent storage volume, achieving a unified quantification of storage and infiltration capacity; this calculation process can be automatically completed through embedded computing modules or external software, without the need for complex hydrological models. By adjusting storage ( ) and infiltration ( The two key hydrological processes are uniformly quantified into comparable indicators. On the one hand, this reflects the static water storage capacity of the sponge city facilities. On the other hand, it takes into account the dynamic infiltration process of the sponge city facilities, and realizes the quantitative assessment of the synergistic effect of multiple mechanisms.

[0069] In one embodiment, S106 specifically includes: determining a critical threshold according to the following formula:

[0070] ;

[0071] in, Characterized as a critical threshold; Characterized as a safety redundancy coefficient; It is represented as the design rainfall.

[0072] in, It can be understood as a dimensionless number used to take into account factors such as the runoff generated by the green space itself and the uncertainty of the spatiotemporal distribution of rainfall. Its value range can be selected from 1.2 to 1.8. The specific value can be adjusted according to the safety level of the project and the local rainfall characteristics. For example, a higher value can be taken in high-risk areas.

[0073] Furthermore, in some embodiments, the safety redundancy factor The value can be determined based on the following factors: when the proportion of impermeable area within the catchment unit is greater than the first threshold, such as 70%, the value can be adjusted accordingly. =1.6~1.8; when the area served by the sponge city facility is an important public area, such as underground passages or sunken bridge areas, then a value of 1.6~1.8 can be used. =1.5~1.7; under normal site conditions, it can be taken as 1.5~1.7. =1.2~1.4.

[0074] In this embodiment, by introducing an adjustable safety redundancy coefficient, the basic safety requirements for the critical threshold value are guaranteed, while avoiding overly conservative design, thus achieving a balance between safety and economy.

[0075] In one embodiment, the method for arranging the overflow device of the sponge facility further includes: modifying the determined critical threshold by at least one of the following: (a) reducing the critical threshold when the soil permeability coefficient is greater than a preset permeability threshold; (b) reducing the contribution of the effective infiltration area when calculating the comprehensive capacity parameter when the sponge facility has an impermeable layer at its bottom or the slope of the site where the sponge facility is located is greater than a preset slope threshold, and increasing the critical threshold accordingly.

[0076] See also Figure 2 The final determination of the critical threshold can be adjusted according to the actual working conditions. That is, when the soil permeability coefficient is greater than a preset permeability threshold, for example... ≥1×10 -4 When the soil permeability is measured in m / s, it can be determined that the soil has good permeability, and the critical threshold can be reduced by multiplying the critical threshold by a first reduction factor. This first reduction factor can be selected from 0.7 to 0.9 to fully utilize the infiltration capacity. The preset infiltration threshold can be adjusted based on local experience. However, when the sponge city facility has an impermeable layer at the bottom or the site slope is greater than the preset slope threshold (e.g., 3%), the contribution of the effective infiltration area can be disabled, i.e., the comprehensive capacity parameter calculation formula in S104... =0, or the effective infiltration area is multiplied by the second reduction factor, which is a subset of [0, 1]. The specific value can be selected according to the actual working conditions. At the same time, the critical threshold can be increased accordingly. For example, the system automatically multiplies the critical threshold by the safety amplification factor, which can be selected as 1.1~1.3, to compensate for the risk caused by the lack of infiltration capacity.

[0077] After identifying site conditions through engineering survey data, a corrective plan can be determined for the final implementation of the established critical threshold, namely, implementing only (a), implementing only (b), or implementing both (a) and (b). This corrective mechanism can enhance the adaptability of the sponge city facility overflow device layout method to different engineering scenarios, making full use of favorable geological conditions while taking compensatory measures for unfavorable working conditions.

[0078] In one embodiment, S108 specifically includes: if the comprehensive capability parameter is not less than a critical threshold, generating a first decision scheme indicating that no overflow device should be installed; if the comprehensive capability parameter is less than the critical threshold, generating a second decision scheme indicating that an overflow device needs to be installed. A further embodiment is that the second decision scheme includes at least one of a recommended number of overflow devices, a recommended location, and a recommended specification model. As an optional but non-limiting implementation, the recommended number is determined based on the difference between the comprehensive capability parameter and the critical threshold; the recommended location is determined based on at least one of the topographic slope of the sponge facility, the water flow path within the catchment area, or the location of a low-lying point within the sponge facility; the recommended specification model is determined based on the difference between the comprehensive capability parameter and the critical threshold and a pre-configured specification model database; the specification model database stores the mapping relationship between the difference between the comprehensive capability parameter and the critical threshold and the specification model of the overflow device.

[0079] In this embodiment, the second decision scheme may further include: a recommended number of overflow devices, which can be determined based on the difference between the comprehensive capacity parameter and the critical threshold. For example, one overflow well is added for every 0.05 m³ / m² increase in the difference. The recommended location of the overflow devices can be determined based on the terrain slope of the sponge city facility, the water flow path within the catchment area, or the location of low-lying points. For example, the low point of convergence or runoff collection point can be determined based on the water flow path analysis of the digital elevation model, and then the overflow devices are preferentially placed at the low point of convergence or runoff collection point. The recommended specifications of the overflow devices can be selected based on the mapping relationship between the difference between the comprehensive capacity parameter and the critical threshold and a pre-configured specification database. For example, a DN200 overflow pipe can be selected when the difference is 0.1~0.2 m³ / m². In addition, the first or second decision scheme can be output through a graphical interface, report documents, or direct input into a CAD system. This scheme further concretizes the decision results into implementable engineering parameters, facilitating a seamless connection from theoretical calculation to engineering design.

[0080] In some specific embodiments, the mapping relationship between the difference Δ between the comprehensive capability parameter and the critical threshold and the specific parameters (recommended quantity and recommended specifications) can be achieved through a pre-established expert knowledge base, for example:

[0081] When 0 < Δ ≤ 0.05, the second decision option is to recommend one DN200 overflow well;

[0082] When 0.05 < Δ ≤ 0.1, the second decision option is to recommend either one DN300 overflow well or two DN200 overflow wells;

[0083] When Δ>0.1, the second decision option is to recommend other combined options, etc.

[0084] One more specific embodiment is, such as Figure 3 As shown, this application will be explained in detail using a case study of whether to install an overflow well in a certain catchment area of ​​a certain community in a certain city as part of a sponge city renovation project.

[0085] As shown in the diagram, the existing green space is designed as a bioretention facility with a submerged depth of 5cm to absorb rainwater runoff from itself, surrounding sidewalks, and rooftops. The total catchment area of ​​this sponge city facility is calculated to be 5525m². 2 The overflow device decision parameters are as follows: the effective water storage area of ​​the sponge facility is 2560m². 2 Its maximum storage capacity is calculated to be 128m³. 3 According to the geological survey report, the soil permeability coefficient of the site is 3×10⁻⁶. -5 m / s; the effective infiltration area of ​​all bioretention facilities is 2560m². 2 Based on the rainfall characteristics of this city, the designed rainfall duration is 4 hours. The calculation is as follows:

[0086] ;

[0087] Furthermore, this project requires meeting the standard of preventing urban flooding under a 30-year return period rainfall event. Based on the rainfall intensity formula and design rainfall pattern of a certain city, the 24-hour rainfall event for a 30-year return period is 56 mm. Considering the rainfall characteristics of Northwest China and safety requirements, a safety redundancy coefficient of 1.5 is adopted. Based on the target city's urban flooding prevention design rainfall and safety redundancy coefficient, the critical threshold can be determined, namely:

[0088] ;

[0089] By comparing the comprehensive capacity parameter with the critical threshold, it can be seen that the former is greater than the latter, meaning that the comprehensive treatment capacity of the sponge facility within the catchment unit is far higher than the safety threshold. Therefore, the sponge facility can ensure the drainage safety within the catchment unit during heavy rain, ultimately leading to a decision-making scheme for the overflow device layout where overflow facilities can be omitted at the end.

[0090] The deficiencies of the above solutions and the proposed solutions are the result of the inventor's practice and careful research. Therefore, the discovery process of the above problems and the solutions proposed in this disclosure below should be considered as the inventor's contribution to this disclosure.

[0091] It should be understood that, for the foregoing method embodiments, although the steps in the flowcharts are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the method embodiments may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps.

[0092] Based on the same inventive concept, this application also provides a sponge facility overflow device arrangement system for implementing the above-mentioned sponge facility overflow device arrangement method. The solution provided by this system is similar to the solution described in the above method; therefore, the specific limitations of one or more sponge facility overflow device arrangement system embodiments provided below can be found in the limitations of the sponge facility overflow device arrangement method described above, and will not be repeated here.

[0093] In one embodiment, such as Figure 4 As shown, a sponge city facility overflow device layout system is provided, including: a parameter acquisition module 401, a comprehensive parameter calculation module 402, a threshold determination module 403, and a decision module 404, wherein:

[0094] The parameter acquisition module 401 is used to acquire the overflow device decision parameters corresponding to the sponge facility; the overflow device decision parameters include the total catchment area of ​​the sponge facility, the maximum storage volume of the sponge facility, the soil permeability coefficient, the effective infiltration area of ​​the sponge facility, and the design rainfall duration.

[0095] The comprehensive parameter calculation module 402 is used to calculate the comprehensive capacity parameters that characterize the rainwater treatment capacity per unit catchment area of ​​the sponge facility based on the overflow device decision parameters.

[0096] The threshold determination module 403 is used to obtain the design rainfall corresponding to the design return period of urban flood control in the city where the sponge facility is located, and determine a critical threshold accordingly.

[0097] Decision module 404 is used to compare comprehensive capability parameters with critical thresholds and generate a decision scheme for the layout of overflow devices at sponge facilities based on the comparison results.

[0098] In one embodiment, the comprehensive parameter calculation module 402 is specifically used to: calculate according to the formula:

[0099] ;

[0100] The comprehensive capability parameters are calculated.

[0101] in, Characterized as comprehensive capability parameters; Characterized as the maximum storage capacity of sponge city facilities; Characterized by soil permeability coefficient; Characterized by the effective infiltration area of ​​the sponge city facility; Characterized by the design rainfall duration; Characterized by the total catchment area of ​​sponge facilities.

[0102] In one embodiment, the threshold determination module 403 is specifically used to: determine the threshold according to the formula:

[0103] ;

[0104] Determine the critical threshold;

[0105] in, Characterized as a critical threshold; Characterized as a safety redundancy coefficient; It is represented as the design rainfall.

[0106] In one embodiment, the above-mentioned sponge facility overflow device arrangement system further includes: a threshold correction module, used to correct at least one of the following for the determined critical threshold: when the soil permeability coefficient is greater than a preset permeability threshold, the critical threshold is reduced accordingly; when an impermeable layer is provided at the bottom of the sponge facility, or when the slope of the site where the sponge facility is located is greater than a preset slope threshold, the contribution of the effective infiltration area is weakened when calculating the comprehensive capacity parameters, and the critical threshold is increased accordingly.

[0107] In one embodiment, the decision module 404 is specifically used to: generate a first decision scheme indicating that no overflow device should be set if the comprehensive capability parameter is not less than the critical threshold; and generate a second decision scheme indicating that an overflow device should be set if the comprehensive capability parameter is less than the critical threshold.

[0108] In one embodiment, the second decision option includes at least one of the following: recommended number of overflow devices, recommended placement location, and recommended specifications.

[0109] In one embodiment, the number of recommendations is determined based on the difference between the comprehensive capability parameter and the critical threshold;

[0110] And / or, the recommended location is determined based on at least one of the following: the topographic slope of the sponge facility, the water flow path within the catchment area, or the location of low-lying points within the sponge facility;

[0111] And / or, the recommended specifications are determined based on the difference between the comprehensive capability parameters and the critical threshold and a pre-configured specifications database; the specifications database stores the mapping relationship between the difference between the comprehensive capability parameters and the critical threshold and the specifications of the overflow device.

[0112] Specific limitations regarding the layout system of overflow devices for sponge city facilities can be found in the limitations on the layout method of overflow devices for sponge city facilities mentioned above, and will not be repeated here. Each module in the above-mentioned overflow device layout system for sponge city facilities can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0113] Furthermore, in the above-described embodiment of the sponge facility overflow device arrangement system, the logical division of each program module is merely illustrative. In actual applications, the functions described above can be assigned to different program modules as needed, for example, for the sake of corresponding hardware configuration requirements or the convenience of software implementation. That is, the internal structure of the sponge facility overflow device arrangement system can be divided into different program modules to complete all or part of the functions described above.

[0114] In one embodiment, a computer device is provided, which may be a mobile terminal, a server, or a server cluster. The internal structure diagram of the computer device may be as follows: Figure 5As shown, the computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements a method for arranging a sponge city facility overflow device. The display unit is used to form a visually visible image and can be a display screen, projection device, or virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0115] Those skilled in the art will understand that Figure 5 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0116] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps in the above method embodiments.

[0117] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0118] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0119] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as the combination of these technical features does not contradict each other, it should be considered within the scope of this specification. In the above embodiments, the descriptions of each embodiment have their own emphasis. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0120] The terms “comprising” and “having”, and any variations thereof, in the embodiments herein are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or (module) units is not limited to the steps or units listed, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus.

[0121] The term "and / or" as used in this article describes the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. The character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0122] The terms "first" and "second" used herein are merely to distinguish similar objects and do not represent a specific ordering of objects. It is understood that "first" and "second" can be interchanged in a specific order or sequence where permissible. It should be understood that the objects distinguished by "first" and "second" can be interchanged where appropriate so that the embodiments described herein can be implemented in an order other than those illustrated or described herein.

[0123] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A method for arranging overflow devices in a sponge city facility, characterized in that, The method includes: Obtain the overflow device decision parameters corresponding to the sponge facility; the overflow device decision parameters include the total catchment area of ​​the sponge facility, the maximum storage volume of the sponge facility, the soil permeability coefficient, the effective infiltration area of ​​the sponge facility, and the design rainfall duration; Based on the overflow device decision parameters, a comprehensive capacity parameter is calculated to characterize the rainwater treatment capacity per unit catchment area of ​​the sponge facility. Obtain the design rainfall corresponding to the design return period for urban flood control in the city where the sponge city facility is located, and determine a critical threshold accordingly; By comparing the comprehensive capability parameters with the critical threshold, a decision-making scheme for the layout of the overflow device at the sponge facility is generated based on the comparison results. The step of calculating the comprehensive capability parameters based on the overflow device decision parameters includes: According to the formula: ; The comprehensive capability parameters are calculated. in, Characterized by the aforementioned comprehensive capability parameters; Characterized by the maximum storage capacity of the sponge facility; Characterized by the soil permeability coefficient; Characterized by the effective infiltration area of ​​the sponge facility; Characterized by the designed rainfall duration; Characterized by the total catchment area of ​​the sponge facility; The step of determining the critical threshold based on the designed rainfall includes: According to the formula: ; Determine the critical threshold; in, Characterized as the critical threshold; Characterized as a safety redundancy coefficient; This is represented by the designed rainfall amount.

2. The method according to claim 1, characterized in that, The method further includes: The determined critical threshold shall be modified by at least one of the following: If the soil permeability coefficient is greater than a preset permeability threshold, the critical threshold is reduced accordingly. When a seepage-proof layer is already installed at the bottom of the sponge facility, or when the slope of the site where the sponge facility is located is greater than a preset slope threshold, the contribution of the effective infiltration area is reduced when calculating the comprehensive capacity parameters, and the critical threshold is increased accordingly.

3. The method according to claim 1 or 2, characterized in that, The step of generating a layout decision scheme for the overflow device at the sponge facility based on the comparison results includes: If the comprehensive capability parameter is not less than the critical threshold, a first decision scheme indicating that no overflow device should be installed is generated; If the overall capability parameter is less than the critical threshold, a second decision scheme is generated indicating that an overflow device needs to be installed.

4. The method according to claim 3, characterized in that, The second decision option includes at least one of the following: recommended quantity of overflow devices, recommended location of overflow devices, and recommended specifications and models.

5. The method according to claim 4, characterized in that, The number of recommendations is determined based on the difference between the comprehensive capability parameter and the critical threshold. And / or, the recommended location is determined based on at least one of the topographic slope of the sponge facility, the water flow path within the catchment area, or the location of low-lying points within the sponge facility; And / or, the recommended specifications are determined based on the difference between the comprehensive capability parameter and the critical threshold and a pre-configured specifications database; The specification database stores the mapping relationship between comprehensive capability parameters, the difference between critical thresholds and the specifications of overflow devices.

6. A sponge city facility overflow device arrangement system, characterized in that, include: The parameter acquisition module is used to acquire the overflow device decision parameters corresponding to the sponge facility; the overflow device decision parameters include the total catchment area of ​​the sponge facility, the maximum storage volume of the sponge facility, the soil permeability coefficient, the effective infiltration area of ​​the sponge facility, and the design rainfall duration; The comprehensive parameter calculation module is used to calculate a comprehensive capacity parameter characterizing the rainwater treatment capacity per unit catchment area of ​​the sponge facility based on the overflow device decision parameters; further, it is used to calculate the comprehensive capacity parameter according to the formula: ; The comprehensive capability parameters are calculated. in, Characterized by the aforementioned comprehensive capability parameters; Characterized by the maximum storage capacity of the sponge facility; Characterized by the soil permeability coefficient; Characterized by the effective infiltration area of ​​the sponge facility; Characterized by the designed rainfall duration; Characterized by the total catchment area of ​​the sponge facility; The threshold determination module is used to obtain the design rainfall corresponding to the design return period for urban flood control in the city where the sponge city facility is located, and determine a critical threshold accordingly; further, it is used to determine the threshold based on the formula: ; Determine the critical threshold; in, Characterized as the critical threshold; Characterized as a safety redundancy coefficient; Characterized as the designed rainfall amount; The decision module is used to compare the comprehensive capability parameters with the critical threshold, and generate a decision plan for the layout of the overflow device at the sponge facility based on the comparison results.

7. The system according to claim 6, characterized in that, The system further includes a threshold correction module, which is used for: The determined critical threshold shall be modified by at least one of the following: If the soil permeability coefficient is greater than a preset permeability threshold, the critical threshold is reduced accordingly. When a seepage-proof layer is already installed at the bottom of the sponge facility, or when the slope of the site where the sponge facility is located is greater than a preset slope threshold, the contribution of the effective infiltration area is reduced when calculating the comprehensive capacity parameters, and the critical threshold is increased accordingly.

8. The system according to claim 6 or 7, characterized in that, The decision module is further used for: If the comprehensive capability parameter is not less than the critical threshold, a first decision scheme indicating that no overflow device should be installed is generated; If the overall capability parameter is less than the critical threshold, a second decision scheme is generated indicating that an overflow device needs to be installed.

9. The system according to claim 8, characterized in that, The second decision option includes at least one of the following: recommended quantity of overflow devices, recommended location of overflow devices, and recommended specifications and models.

10. The system according to claim 9, characterized in that, The number of recommendations is determined based on the difference between the comprehensive capability parameter and the critical threshold. And / or, the recommended location is determined based on at least one of the topographic slope of the sponge facility, the water flow path within the catchment area, or the location of low-lying points within the sponge facility; And / or, the recommended specifications are determined based on the difference between the comprehensive capability parameter and the critical threshold and a pre-configured specifications database; The specification database stores the mapping relationship between comprehensive capability parameters, the difference between critical thresholds and the specifications of overflow devices.

11. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 5.

12. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.