Municipal drainage method, system and equipment

Abstract

The invention relates to the technical field of municipal drainage, and provides a municipal drainage method, system and equipment, and the method comprises the steps: obtaining a regional characteristic value according to a regional coefficient and a soil saturation index; acquiring a meteorological characteristic value according to the short-time rainstorm threat degree; obtaining a water quality characteristic value according to the BOD load threshold value and the sewage treatment urgency coefficient; and obtaining a comprehensive risk index according to the regional characteristic value, the meteorological characteristic value and the water quality characteristic value, and executing a corresponding drainage diversion strategy according to the comprehensive risk index. According to the method, the regional characteristic value is obtained through the regional coefficient and the soil saturation index, the comprehensive risk index is obtained through the regional characteristic value, the meteorological characteristic value and the water quality characteristic value, the regional characteristic is considered, and multi-dimensional data characteristics including the regional characteristic, the meteorological characteristic and the water quality characteristic are fused; and the limitation of single monitoring dimension of the municipal drainage system is overcome, and the anti-waterlogging capability and the sewage treatment efficiency of the drainage system are improved.

Description

Technical Field

[0001] This invention relates to the field of municipal drainage technology, and more specifically, to a municipal drainage method, system, and equipment. Background Technology

[0002] Municipal drainage refers to a system that collects, treats, and discharges all sewage, rainwater, and groundwater within a city through pipes. It generally includes core functions such as sewage treatment, rainwater discharge, and system management. It is a complete and scientific method of water resource utilization that can minimize the damage of pollutants to the environment and protect water resource security. Municipal drainage can be divided into two types based on the nature of the wastewater discharged: sewage drainage and rainwater drainage. Sewage drainage mainly treats domestic sewage from urban residents and wastewater generated during industrial production, while rainwater drainage is mainly responsible for the discharge and treatment of rainwater within the city.

[0003] Traditional municipal drainage monitoring systems rely on fixed threshold methods, such as triggering an alarm when rainfall exceeds a certain value or opening a sewage outlet when water quality exceeds sewage standards. This has significant limitations due to its single monitoring dimension, poor regional adaptability, and need to improve its level of intelligence. Summary of the Invention

[0004] Based on this, in order to improve the regional adaptability of municipal drainage systems, the present invention provides a municipal drainage method, system, and equipment, the specific technical solution of which is as follows: A municipal drainage method includes the following steps: Obtain the regional coefficient and soil saturation index, and then obtain the regional characteristic values ​​based on the regional coefficient and soil saturation index; Obtain the short-term rainstorm threat level, and obtain meteorological characteristic values ​​based on the short-term rainstorm threat level; Obtain the BOD load threshold and wastewater treatment urgency coefficient, and obtain water quality characteristic values ​​based on the BOD load threshold and wastewater treatment urgency coefficient; A comprehensive risk index is obtained based on regional, meteorological, and water quality characteristics, and corresponding drainage diversion strategies are implemented based on the comprehensive risk index.

[0005] The proposed municipal drainage method obtains regional characteristic values ​​through regional coefficients and soil saturation index, and obtains a comprehensive risk index based on regional characteristic values, meteorological characteristic values, and water quality characteristic values. It not only takes regional characteristics into account, but also integrates multi-dimensional data characteristics including regional characteristics, meteorological characteristics, and water quality characteristics. This overcomes the limitation of a single monitoring dimension in municipal drainage systems and is conducive to improving the flood resistance capacity and sewage treatment efficiency of drainage systems.

[0006] Preferably, the specific method for obtaining the soil saturation index includes: Obtain terrain slope information and vegetation information; Soil saturation index is obtained based on terrain slope information and vegetation information.

[0007] Preferably, the specific methods for obtaining the short-term rainstorm threat level include: Obtain real-time rainfall, rainstorm recurrence interval, and dew point temperature; The short-term threat level of heavy rain is determined based on real-time rainfall, the recurrence period of heavy rain, and dew point temperature.

[0008] Preferably, the specific methods for obtaining the soil saturation index based on topographic slope information and vegetation information include: Obtain the soil saturated permeability, and then obtain the topographic slope coefficient based on the tangent of the topographic slope angle and the soil saturated permeability. Obtain rainfall intensity, and determine vegetation interception based on vegetation density, leaf area index, and rainfall intensity; Soil saturation index is obtained based on topographic slope coefficient and vegetation interception amount; Among them, the terrain slope information includes the terrain slope angle, and the vegetation information includes vegetation density and leaf area index.

[0009] Preferably, the specific methods for obtaining the short-term rainstorm threat level based on real-time rainfall, rainstorm recurrence interval, and dew point temperature include: The rate of change in rainfall intensity is obtained based on real-time rainfall data; The dew point temperature difference is obtained from the dew point temperature. The short-term threat level of heavy rain is obtained based on the rate of change of rainfall intensity, the recurrence period of heavy rain, and the dew point temperature difference.

[0010] Preferably, the specific method for obtaining the BOD load threshold includes: Obtain the inlet BOD concentration, target treatment concentration, and pipeline flow rate; The BOD load threshold is obtained based on the inlet BOD concentration, the target treatment concentration, and the pipeline flow rate.

[0011] A municipal drainage system for implementing the aforementioned municipal drainage method, comprising: The regional feature acquisition module is used to obtain regional coefficients and soil saturation index, and to obtain regional feature values ​​based on regional coefficients and soil saturation index. The meteorological feature acquisition module is used to acquire the short-term rainstorm threat level and obtain meteorological feature values ​​based on the short-term rainstorm threat level. The water quality characteristic acquisition module is used to acquire the BOD load threshold and the wastewater treatment urgency coefficient, and to acquire water quality characteristic values ​​based on the BOD load threshold and the wastewater treatment urgency coefficient. The control module is used to obtain a comprehensive risk index based on regional, meteorological, and water quality characteristics, and to execute corresponding drainage diversion strategies based on the comprehensive risk index.

[0012] Preferably, the regional feature acquisition module includes: The slope coefficient acquisition unit is used to obtain the soil saturated permeability and obtain the terrain slope coefficient based on the tangent of the terrain slope angle and the soil saturated permeability. The vegetation interception acquisition unit is used to acquire rainfall intensity and obtain vegetation interception based on vegetation density, leaf area index and rainfall intensity. The saturation index acquisition unit is used to obtain the soil saturation index based on the terrain slope coefficient and vegetation interception. The regional feature acquisition unit is used to obtain regional feature values ​​based on the regional coefficient and the soil saturation index. Among them, the terrain slope information includes the terrain slope angle, and the vegetation information includes vegetation density and leaf area index.

[0013] Preferably, the meteorological feature acquisition module includes: The rainstorm threat assessment unit is used to acquire real-time rainfall, rainstorm recurrence interval, and dew point temperature, and to obtain the short-term rainstorm threat level based on the real-time rainfall, rainstorm recurrence interval, and dew point temperature. The meteorological feature acquisition unit is used to acquire the short-term rainstorm threat level and obtain meteorological feature values ​​based on the short-term rainstorm threat level.

[0014] A municipal drainage device comprising: Controller; Memory, which stores executable instructions; The executable instructions can run on the controller and implement the municipal drainage method. Attached Figure Description

[0015] The invention will be further understood from the following description taken in conjunction with the accompanying drawings. The components in the drawings are not necessarily drawn to scale, but rather the emphasis is on illustrating the principles of the embodiments. In different views, the same reference numerals designate corresponding parts.

[0016] Figure 1 This is a schematic diagram of the overall process of a municipal drainage method according to an embodiment of the present invention; Figure 2 This is a flowchart illustrating a specific method for obtaining the soil saturation index in one embodiment of the present invention; Figure 3 This is a flowchart illustrating a specific method for obtaining the short-term rainstorm threat level in one embodiment of the present invention; Figure 4This is a flowchart illustrating a specific method for obtaining the soil saturation index based on terrain slope information and vegetation information in one embodiment of the present invention. Figure 5 This is a flowchart illustrating a specific method for obtaining short-term rainstorm threat level based on real-time rainfall, rainstorm recurrence period, and dew point temperature in one embodiment of the present invention. Figure 6 This is a flowchart illustrating a specific method for obtaining the BOD load threshold in one embodiment of the present invention; Figure 7 This is a schematic diagram of the overall structure of a municipal drainage system according to an embodiment of the present invention; Figure 8 This is a schematic diagram of the functional module structure of the regional feature acquisition module in one embodiment of the present invention; Figure 9 This is a schematic diagram of the functional module structure of the meteorological feature acquisition module in one embodiment of the present invention. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to its embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the scope of protection of the invention.

[0018] It should be noted that when an element is referred to as being "fixed to" another element, it can be directly attached to the other element or there may be an intervening element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or there may be an intervening element. The terms "vertical," "horizontal," "left," "right," and similar expressions used herein are for illustrative purposes only and do not represent the only possible implementation.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0020] In this invention, "first" and "second" do not represent a specific quantity or order, but are merely used to distinguish names.

[0021] Before describing the specific embodiments of the present invention, a brief introduction to the prior art will be given first.

[0022] Municipal drainage is an engineering system that collects, treats, and discharges sewage, wastewater, and rainwater generated in a region through systematic engineering facilities to ensure water body cleanliness and flood control and disaster reduction. It generally includes the following core functions: 1. Wastewater treatment: Collect wastewater (such as domestic wastewater, maintenance wastewater, etc.), treat it to meet discharge standards, and then reuse or discharge it.

[0023] 2. Rainwater drainage: Through drainage pipe networks, pumping stations and other facilities, surface water is promptly removed to reduce the risk of flooding.

[0024] 3. System Management: Includes facilities such as pipelines, inspection wells, and rainwater inlets, adopts a separate or combined drainage system, and combines intelligent monitoring technology to achieve efficient operation and management.

[0025] Traditional municipal drainage monitoring systems rely on fixed threshold methods, such as triggering an alarm when rainfall exceeds a certain value or opening a sewage outlet when water quality exceeds wastewater standards. This has significant limitations due to its singular monitoring dimension and poor regional adaptability. For example, application number CN202311124452.6 discloses a method for controlling the separation of rainwater and sewage in a municipal drainage network. An intercepting well is installed at the end of the drainage network, and a water quality sensor is installed inside the well. Controllable opening and closing rainwater and sewage outlets are created on the well's wall. The water quality sensor inside the intercepting well detects the water quality data of the incoming water at different times. When the incoming water quality exceeds a predetermined wastewater standard, the sewage outlet is opened and the rainwater outlet is closed; conversely, if the stored water quality is below the predetermined wastewater standard, the rainwater outlet is opened and the sewage outlet is closed.

[0026] The aforementioned method for controlling the separation of rainwater and sewage in municipal drainage networks only opens the sewage outlet when the water quality exceeds the sewage standard value. It fails to integrate multi-dimensional data such as regional and meteorological characteristics, resulting in a single monitoring dimension that ignores parameters like slope and vegetation interception. This makes it unsuitable for different regions, leading to poor regional adaptability and causing the plains model to be misused in hilly areas. Further optimization and improvement are needed. In addition, monitoring municipal drainage systems based on a single dimension also suffers from problems such as delayed meteorological response, inability to respond to sudden changes in short-term heavy rainfall, water quality inconsistencies, lack of involvement of sewage treatment plant influent load in drainage decisions, and frequent overflow pollution incidents during the rainy season.

[0027] Therefore, such as Figure 1 As shown, one embodiment of the present invention provides a municipal drainage method, comprising the following steps: S1, obtain the regional coefficient and soil saturation index, and obtain the regional characteristic value based on the regional coefficient and soil saturation index.

[0028] As a preferred technical solution, such as Figure 2 As shown, the specific methods for obtaining the soil saturation index include: S11, obtain terrain slope information and vegetation information.

[0029] S12, obtain the soil saturation index based on terrain slope information and vegetation information.

[0030] Specifically, the terrain slope information includes, but is not limited to, slope angle, and the vegetation information includes, but is not limited to, vegetation density and leaf area index.

[0031] As a preferred technical solution, such as Figure 4 As shown, the specific methods for obtaining the soil saturation index based on terrain slope information and vegetation information include: S121, Obtain soil saturated permeability According to the slope angle of the terrain The tangent value and soil saturation permeability are used to obtain the topographic slope coefficient.

[0032] For example, the terrain slope coefficient is expressed as The terrain slope angle is measured in degrees, with typical values ​​ranging from 0° (for flat land) to 35° (for steep slopes), and can be obtained through lidar or RTK mapping. Soil saturated permeability is measured in mm / h and can be obtained using a dual-ring infiltration meter; for example, the saturated permeability for clay is between 1 and 5, while that for sandy soil is between 20 and 30. The typical value of the terrain slope coefficient is between 0.05 and 10, and it is positively correlated with the terrain's drainage capacity. A higher value indicates faster surface runoff, shorter soil water absorption time, and a higher risk of waterlogging. In general, this terrain slope coefficient... Primarily used to quantify the impact of topography on drainage efficiency and to couple soil properties to correct for waterlogging risks, it is the first to incorporate soil permeability characteristics into topographic drainage capacity assessment, breaking through the limitations of traditional slope evaluation and providing core decision-making basis for intelligent monitoring of municipal drainage systems.

[0033] S122, obtain rainfall intensity based on vegetation density. Vegetation interception was obtained from leaf area index (LAI) and rainfall intensity (P).

[0034] For example, vegetation interception is expressed as Vegetation density, or vertical projection coverage, typically ranges from 0.1 (sparse) to 1.0 (dense), and can be set by technicians based on experience or derived from satellite NDVI index. Leaf area index (LAI) typically ranges from 1.0 (lawn) to 6.0 (forest), and can be obtained using a plant canopy analyzer. Rainfall intensity typically ranges from 0.1 (light rain) to 100 (heavy rain), and can be obtained using a rain gauge. Vegetation interception... Typical values ​​range from 0.2 to 5.0. Corresponding to vegetation water storage capacity, a higher value indicates longer rainwater retention time on the surface, increased soil infiltration, and a reduction in peak runoff. A parameter of -0.1 is used to control the exponential decay. The attenuation rate can be adjusted based on experience.

[0035] Suppose a region experiences a heavy rainfall. For a dense forest with a vegetation density of 0.9, a leaf area index of 5.0, and a rainfall intensity of P = 50 mm / h, the vegetation interception rate would be 0.03 mm. This demonstrates that vegetation interception is nearly ineffective during heavy rainfall. In general, the vegetation interception function is primarily used to quantify the vegetation's ability to redistribute rainfall and the inhibitory effect of rainfall intensity (through exponential decay). (This study) established for the first time the dynamic coupling between vegetation density, canopy structure, and rainfall intensity.

[0036] Generally speaking, the impact of vegetation on slope hydrological processes is mainly reflected in several aspects: canopy interception of rainfall, increased surface roughness to slow runoff, and root system to improve soil infiltration. The amount of vegetation interception has a weakening effect on slope erosion; the buffering effect of vegetation is weaker at low cover and stronger at high cover.

[0037] The greater the slope, the faster the runoff velocity, the stronger the erosion capacity, and the higher the soil erodibility factor S, the more easily the soil is eroded. Since vegetation can slow down surface runoff velocity and reduce the erosive capacity of runoff, and the root system of vegetation can consolidate the soil and increase its resistance to erosion, and the canopy of vegetation can intercept rainfall and reduce the splash erosion of raindrops on the surface, a vegetation buffer compensation term can be added to optimize the original terrain slope coefficient.

[0038] To quantify the suppression of slope erosion by vegetation and the time-varying buffering capacity of canopy interception, the topographic slope coefficient was optimized based on vegetation interception. The optimized topographic slope coefficient is expressed as follows: .in, This can be understood as a reduction or compensation item. These represent the maximum buffer efficiency coefficient and the vegetation effect attenuation coefficient, respectively. They can be set based on experience, with the default values ​​being 0.2 and 0.3, respectively. This is an empirical constant, which can be understood as a reduction factor. It is used to quantify the reduction ratio of the terrain slope coefficient when the vegetation interception increases to the maximum value. For example, it can be set to 0.8 or 0.9.

[0039] Assumption Set them to 0.2 and 0.3 respectively. When the value is set to 0.8, and the vegetation interception is 0 (i.e., no vegetation cover), the compensation term = 1.0, the buffering effect of vegetation is the lowest, and the reduction effect on the terrain slope coefficient is 0. When the vegetation interception is relatively large and the compensation term is 0.8, the buffering effect of vegetation is the highest, and the reduction effect on the terrain slope coefficient is 0.8. Of course, the parameters... as well as Adjustments can be made based on experience; no specific restrictions are set here.

[0040] Thus, by optimizing the topographic slope coefficient with vegetation interception, the eco-hydrological function of vegetation can be quantified. Taking into account the buffering and weakening effect of vegetation interception on slope runoff, the accuracy of the topographic slope coefficient can be improved.

[0041] S123, the soil saturation index is obtained based on the topographic slope coefficient and vegetation interception.

[0042] Among them, the terrain slope information includes the terrain slope angle, and the vegetation information includes vegetation density and leaf area index.

[0043] Specifically, the soil saturation index can be obtained by calculating the weighted average of the topographic slope coefficient and the vegetation interception amount, or by constructing a function model with the topographic slope coefficient and the vegetation interception amount as independent variables and the soil saturation index as the dependent variable. The function model includes, but is not limited to, piecewise functions, linear functions, and nonlinear functions.

[0044] For example, the soil saturation index is expressed as .in, These represent the initial soil moisture content (m). 3 / m 3 ), time-varying rainfall intensity function (mm / h), and soil maximum water holding capacity. This represents the vegetation component, used to quantify the attenuation of rainfall interception. The parameter 0.1 is an empirical value and can be adjusted according to different scenarios. This represents the slope term, which characterizes the loss of infiltration caused by accelerated runoff. The parameter -0.2 is an empirical value and can be adjusted according to different scenarios.

[0045] Initial soil moisture content can be obtained through time-domain reflectometry (TDAR) measurement, laboratory infiltration tests of maximum soil water holding capacity, and on-site calibration. Time-varying rainfall intensity functions can be obtained by fusing rainfall parameters acquired from meteorological radar and ground rain gauges. Different engineering measures can be implemented for different soil saturation indices. For example, when the soil saturation index is less than 0.6, it can be classified as a normal state, and conventional drainage can be implemented. When the soil saturation index is between 0.6 and 0.8, it can be classified as a warning state, and water storage facilities can be activated. When the soil saturation index is greater than 0.8, it can be classified as an emergency state, and the emergency drainage system can be activated.

[0046] This soil saturation index, by constructing a quantifiable triangular equilibrium model of slope, vegetation, and soil saturation, realizes the influence mechanism of topographic slope coefficient on soil saturation and the dynamic inhibition effect of vegetation interception.

[0047] S2, obtain the short-term rainstorm threat level, and obtain meteorological characteristic values ​​based on the short-term rainstorm threat level.

[0048] As a preferred technical solution, such as Figure 3 As shown, the specific methods for obtaining the short-term threat level of heavy rain include: S21, obtain real-time rainfall P and the return period of the rainstorm. and dew point temperature .

[0049] S22 obtains the short-term rainstorm threat level based on real-time rainfall, rainstorm recurrence period, and dew point temperature.

[0050] As a preferred technical solution, such as Figure 5 As shown, specific methods for obtaining the short-term rainstorm threat level based on real-time rainfall, rainstorm recurrence interval, and dew point temperature include: S221, Obtain the rate of change of rainfall intensity based on real-time rainfall. .

[0051] S222, Obtain the dew point temperature difference based on the dew point temperature. .

[0052] S223 uses the rate of change of rainfall intensity, the recurrence period of rainstorms, and the dew point temperature difference to obtain the short-term rainstorm threat level.

[0053] For example, the threat level of short-term heavy rainfall is expressed as: Among them, the rate of change in rainfall intensity reflects sudden changes in rainfall. The return period of a rainstorm (in years) is used to measure extremes; for example, a rainstorm with a return period of 50 years has a return period of 50, which can be obtained by analyzing historical rainstorm databases. It indicates atmospheric temperature. This represents the water vapor saturation correction coefficient, which is an empirical value. For example, it can be set to 0.15, 0.08, and 0.03 for urban heat island areas, general urban areas, and suburbs, respectively.

[0054] Specifically, the threat level of short-term rainstorms is positively correlated with the risk level of urban flooding; the higher the value, the greater the pressure on the drainage system, and the more necessary it is to upgrade the emergency response accordingly. This is used to incorporate historical extreme events into risk assessments, such as a once-in-a-century rainstorm, where the recurrence interval of the rainstorm is 100. =1, if the rainstorm event occurs once every ten years, then the recurrence period of the rainstorm is 10. =0.1. Used to diagnose potential water vapor threats, when the dew point temperature difference is less than 0, the air is unsaturated and inhibits the development of rainfall; when the dew point temperature difference is greater than zero, such as greater than 3, the air is saturated, and it can be understood that the rainstorm continues to intensify.

[0055] In summary, this short-term rainstorm threat function breaks through the limitations of the static threshold of traditional rainstorm warnings. By quantifying the sudden threat of rainstorms and diagnosing the potential threat of water vapor, it integrates the dynamic rate of change of rainfall intensity, historical extreme values, and water vapor saturation potential, which is conducive to achieving accurate rainstorm warnings and improving response efficiency.

[0056] S3, obtain the BOD load threshold and the wastewater treatment urgency coefficient, and obtain water quality characteristic values ​​based on the BOD load threshold and the wastewater treatment urgency coefficient.

[0057] As a preferred technical solution, such as Figure 6 As shown, the specific methods for obtaining the BOD load threshold include: S31, obtain the inlet BOD concentration, target treatment concentration, and pipeline flow rate.

[0058] S32, obtain the BOD load threshold based on the inlet BOD concentration, the target treatment concentration, and the pipeline flow rate.

[0059] For example, BOD load threshold Represented as .in, These represent the inlet BOD concentration (mg / L) and the target treatment concentration (mg / L), respectively, and k represents the pollutant degradation rate constant (h). -1 The typical value is between 0.25 and 0.35. This indicates the hydraulic residence time (in hours) of wastewater within a pipe, which can be understood as the contact time between wastewater and microorganisms. Indicates the pipeline design flow rate (unit: m³). 3 / h).

[0060] Specifically, BOD, short for Biochemical Oxygen Demand, refers to the amount of dissolved oxygen consumed by microorganisms in decomposing organic matter in water within a certain time. It is an important indicator for measuring the degree of water pollution. The inlet BOD concentration can be measured using an online ultraviolet fluorescence sensor. The target treatment concentration is set according to different scenarios, such as less than 10 mg / L. The pollutant degradation rate constant can be dynamically calibrated using biofilm electrodes, with typical values ​​between 0.25 and 0.35. Residence time can be calibrated experimentally or measured using relevant sensors. The pipeline design flow rate can be calculated based on population density or set empirically.

[0061] The BOD load threshold is positively correlated with the natural purification capacity of pipelines; the higher the value, the more complete the degradation of pollutants and the better the end-point water quality. In the BOD load threshold function, ... This can be understood as the BOD reduction amount, i.e., the total amount of BOD that needs to be degraded (g / h), reflecting the pollution load challenge. This indicates the degradation capacity of the pipeline system. When the BOD load threshold is ≥1, the pipeline itself can degrade pollutants to meet the standards; otherwise, end-of-pipe treatment facilities are required.

[0062] In summary, this BOD load threshold function quantifies the self-cleaning capacity of the pipeline and dynamically couples hydraulic and biochemical processes. When the hydraulic retention time of wastewater in the pipeline is prolonged, the microbial action time increases, and the BOD load threshold rises; when the pollutant degradation rate constant increases, the degradation rate increases, and the BOD load threshold rises.

[0063] Preferably, the minimum water delivery pipeline length L can be defined to guide pipeline optimization based on the inlet BOD concentration and the target treatment concentration. For example, the minimum water delivery pipeline length... Where A represents the cross-sectional area of ​​the pipe. This indicates an adjustment coefficient set based on experience.

[0064] S4. A comprehensive risk index is obtained based on regional, meteorological, and water quality characteristics, and corresponding drainage diversion strategies are implemented based on the comprehensive risk index.

[0065] Specifically, regional characteristic values, meteorological characteristic values, and water quality characteristic values ​​can be used as independent variables, and a comprehensive risk function can be used as the dependent variable to construct a comprehensive risk index function. The function model can take the form of, but is not limited to, a multivariate linear function, a multivariate polynomial function, and a multivariate exponential function.

[0066] The corresponding drainage diversion strategy is implemented based on the comprehensive risk index as follows: Assuming the comprehensive risk index is between 0 and 1, when the comprehensive risk index is less than 0.3, it is determined to be a low-risk level, and normal drainage is maintained; when 0.3 ≤ comprehensive risk index ≤ 0.7, it is determined to be a medium-risk level, and storage facilities are activated, or the infiltration pond gates are opened in advance to cope with the risk scenarios of continuous light rain and high soil saturation; when the comprehensive risk index > 0.7, it is determined to be a high-risk level, triggering emergency diversion and enhanced sewage treatment, or initiating high-pressure flushing and diversion to emergency storage tanks to cope with the risk scenarios of short-term heavy rain and pipeline siltation. In this way, the comprehensive risk level of the municipal drainage system can be dynamically quantified to guide intelligent diversion decisions.

[0067] The proposed municipal drainage method obtains regional characteristic values ​​through regional coefficients and soil saturation index, and obtains a comprehensive risk index based on regional characteristic values, meteorological characteristic values, and water quality characteristic values. It not only takes regional characteristics into account, but also integrates multi-dimensional data characteristics including regional characteristics, meteorological characteristics, and water quality characteristics. This overcomes the limitation of a single monitoring dimension in municipal drainage systems and is conducive to improving the flood resistance capacity and sewage treatment efficiency of drainage systems.

[0068] As a preferred technical solution, the comprehensive risk index R can be expressed as: .in, These represent regional characteristic values, meteorological characteristic values, and water quality characteristic values, respectively. This is a regional coefficient used to enhance terrain sensitivity. It can be set according to different terrains, such as 1.2 for hilly areas and 0.8 for plains. The weighting is based on region and can be set according to experience. This represents the meteorological threat multiplier, which is set according to the current meteorological type. For example, it is set to 1.5 during a red typhoon warning and 1.0 during normal weather conditions. The meteorological weight can be set based on experience. The urgency factor for wastewater treatment can be set according to the different areas corresponding to the wastewater, such as 1.3 for water source protection areas and 1.0 for general areas. This indicates the water quality weight, which can be set based on experience.

[0069] Specifically, the regional weight, meteorological weight, and water quality weight are set based on the confidence levels of the corresponding soil sensor, meteorological sensor, and water quality sensor, respectively. For example, the regional weight, meteorological weight, and water quality weight are set based on a weight adaptation mechanism. This adaptation mechanism can be expressed as... .in, For real-time sensor confidence, For example, in areas prone to heavy rainfall, historical variance is a characteristic. arid regions .

[0070] Based on the above adaptive mechanism, when pipeline deposits cause a decrease in the confidence level of the flow meter, the weights are automatically transferred to the meteorological feature module, thereby improving the system reliability.

[0071] like Figure 7 As shown, an embodiment of the present invention also provides a municipal drainage system for implementing the aforementioned municipal drainage method, which includes a regional feature acquisition module, a meteorological feature acquisition module, a water quality feature acquisition module, and a control module.

[0072] The regional feature acquisition module is used to obtain regional coefficients and soil saturation index, and to obtain regional feature values ​​based on regional coefficients and soil saturation index; the meteorological feature acquisition module is used to obtain short-term rainstorm threat level, and to obtain meteorological feature values ​​based on short-term rainstorm threat level.

[0073] The water quality characteristic acquisition module is used to obtain the BOD load threshold and the sewage treatment urgency coefficient, and to obtain water quality characteristic values ​​based on the BOD load threshold and the sewage treatment urgency coefficient; the control module is used to obtain a comprehensive risk index based on regional characteristic values, meteorological characteristic values ​​and water quality characteristic values, and to execute corresponding drainage diversion strategies based on the comprehensive risk index.

[0074] Specifically, such as Figure 8 As shown, the regional feature acquisition module includes a slope coefficient acquisition unit, a vegetation interception acquisition unit, a saturation index acquisition unit, and a regional feature acquisition unit.

[0075] The slope coefficient acquisition unit is used to obtain the soil saturated permeability, and the topographic slope coefficient is obtained based on the tangent of the topographic slope angle and the soil saturated permeability; the vegetation interception acquisition unit is used to obtain the rainfall intensity, and the vegetation interception is obtained based on the vegetation density, leaf area index and rainfall intensity.

[0076] The saturation index acquisition unit is used to obtain the soil saturation index based on the terrain slope coefficient and vegetation interception; the regional feature acquisition unit is used to obtain regional feature values ​​based on the regional coefficient and soil saturation index; among them, the terrain slope information includes the terrain slope angle, and the vegetation information includes vegetation density and leaf area index.

[0077] For example, soil saturation index .in, These represent the initial soil moisture content (m). 3 / m 3 ), time-varying rainfall intensity function (mm / h), and soil maximum water holding capacity. This represents the vegetation component, used to quantify the attenuation of rainfall interception. The parameter 0.1 is an empirical value and can be adjusted according to different scenarios. This represents the slope term, which characterizes the loss of infiltration caused by accelerated runoff. The parameter -0.2 is an empirical value and can be adjusted according to different scenarios.

[0078] Specifically, such as Figure 9 As shown, the meteorological feature acquisition module includes a rainstorm threat level acquisition unit and a meteorological feature acquisition unit.

[0079] The rainstorm threat acquisition unit is used to acquire real-time rainfall, rainstorm recurrence interval, and dew point temperature. Based on the real-time rainfall, rainstorm recurrence interval, and dew point temperature, it acquires short-term rainstorm threat meteorological characteristic values.

[0080] For example, the threat level of short-term heavy rainfall is expressed as: Among them, the rate of change in rainfall intensity reflects sudden changes in rainfall. The return period of a rainstorm (in years) is used to measure extremes; for example, a rainstorm with a return period of 50 years has a return period of 50, which can be obtained by analyzing historical rainstorm databases. It indicates atmospheric temperature. This represents the water vapor saturation correction coefficient, which is an empirical value. For example, it can be set to 0.15, 0.08, and 0.03 for urban heat island areas, general urban areas, and suburbs, respectively.

[0081] For example, BOD load threshold Represented as .in, These represent the inlet BOD concentration (mg / L) and the target treatment concentration (mg / L), respectively, and k represents the pollutant degradation rate constant (h). -1 The typical value is between 0.25 and 0.35. This indicates the hydraulic residence time (in hours) of wastewater within a pipe, which can be understood as the contact time between wastewater and microorganisms. Indicates the pipeline design flow rate (unit: m³). 3 / h).

[0082] The comprehensive risk index R can be expressed as: .in, These represent the regional characteristics module, the meteorological characteristics module, and the water quality characteristics module, respectively. This is a regional coefficient used to enhance terrain sensitivity. It can be set according to different terrains, such as 1.2 for hilly areas and 0.8 for plains. The weighting is based on region and can be set according to experience. This represents the meteorological threat multiplier, which is set according to the current meteorological type. For example, it is set to 1.5 during a red typhoon warning and 1.0 during normal weather conditions. The meteorological weight can be set based on experience. The urgency factor for wastewater treatment can be set according to the different areas corresponding to the wastewater, such as 1.3 for water source protection areas and 1.0 for general areas. This indicates the water quality weight, which can be set based on experience.

[0083] For example, for a core business district in a city, if the corresponding comprehensive risk index R is at a high risk level, drainage responses in different dimensions can be implemented, including: activating rooftop water storage modules, mandatory oil-water separation in catering areas, using vacuum drainage in underground pipe corridors, suspending subway operations, and dynamically limiting the flow of vehicles on the ground, etc.; for older residential areas, if the corresponding comprehensive risk index R is at a medium risk level, drainage responses in different dimensions can be implemented, including: installing smart diversion valves at stormwater and sewage connection points, opening underground water storage tanks (if any), and pushing water accumulation maps to residents' mobile phone apps, etc. The corresponding drainage diversion strategy is implemented based on the comprehensive risk index as follows: Assuming the comprehensive risk index is between 0 and 1, when the comprehensive risk index is less than 0.3, it is determined to be a low-risk level, and normal drainage is maintained; when 0.3 ≤ comprehensive risk index ≤ 0.7, it is determined to be a medium-risk level, and storage facilities are activated, or the infiltration pond gates are opened in advance to cope with the risk scenarios of continuous light rain and high soil saturation; when the comprehensive risk index > 0.7, it is determined to be a high-risk level, triggering emergency diversion and enhanced sewage treatment, or initiating high-pressure flushing and diversion to emergency storage tanks to cope with the risk scenarios of short-term heavy rain and pipeline siltation. In this way, the comprehensive risk level of the municipal drainage system can be dynamically quantified to guide intelligent diversion decisions.

[0084] In summary, the municipal drainage system obtains regional characteristic values ​​through regional coefficients and soil saturation indexes, and obtains a comprehensive risk index based on regional characteristic values, meteorological characteristic values, and water quality characteristic values. It not only takes regional characteristics into account, but also integrates multi-dimensional data characteristics including regional characteristics, meteorological characteristics, and water quality characteristics. This overcomes the limitation of the single monitoring dimension of the municipal drainage system and is conducive to improving the flood resistance capacity and sewage treatment efficiency of the drainage system.

[0085] An embodiment of the present invention also provides a municipal drainage device, which includes: a controller; a memory storing executable instructions; wherein the executable instructions can run on the controller to implement the municipal drainage method.

[0086] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0087] The embodiments described above are merely illustrative of several implementations of the present invention, 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 the present invention, and these all fall within the protection scope of the present invention. Therefore, the protection scope of this invention patent should be determined by the appended claims.

Claims

1. A municipal drainage method, characterized in that, Includes the following steps: Obtain the regional coefficient and soil saturation index, and then obtain the regional characteristic values ​​based on the regional coefficient and soil saturation index; Obtain the short-term rainstorm threat level, and obtain meteorological characteristic values ​​based on the short-term rainstorm threat level; Obtain the BOD load threshold and wastewater treatment urgency coefficient, and obtain water quality characteristic values ​​based on the BOD load threshold and wastewater treatment urgency coefficient; A comprehensive risk index is obtained based on regional, meteorological, and water quality characteristics, and corresponding drainage diversion strategies are implemented based on the comprehensive risk index.

2. The municipal drainage method as described in claim 1, characterized in that, Specific methods for obtaining the soil saturation index include: Obtain terrain slope information and vegetation information; Soil saturation index is obtained based on terrain slope information and vegetation information.

3. A municipal drainage method as described in claim 2, characterized in that, Specific methods for obtaining the short-term threat level of heavy rainfall include: Obtain real-time rainfall, rainstorm recurrence interval, and dew point temperature; The short-term threat level of heavy rain is determined based on real-time rainfall, the recurrence period of heavy rain, and dew point temperature.

4. A municipal drainage method as described in claim 3, characterized in that, Specific methods for obtaining soil saturation index based on topographic slope and vegetation information include: Obtain the soil saturated permeability, and then obtain the topographic slope coefficient based on the tangent of the topographic slope angle and the soil saturated permeability. Obtain rainfall intensity, and determine vegetation interception based on vegetation density, leaf area index, and rainfall intensity; Soil saturation index is obtained based on topographic slope coefficient and vegetation interception amount; Among them, the terrain slope information includes the terrain slope angle, and the vegetation information includes vegetation density and leaf area index.

5. A municipal drainage method as described in claim 4, characterized in that, Specific methods for determining the short-term threat level of heavy rainfall based on real-time rainfall, the recurrence period of heavy rainfall, and dew point temperature include: The rate of change in rainfall intensity is obtained based on real-time rainfall data; The dew point temperature difference is obtained from the dew point temperature. The short-term threat level of heavy rain is obtained based on the rate of change of rainfall intensity, the recurrence period of heavy rain, and the dew point temperature difference.

6. A municipal drainage method as described in claim 5, characterized in that, Specific methods for obtaining the BOD load threshold include: Obtain the inlet BOD concentration, target treatment concentration, and pipeline flow rate; The BOD load threshold is obtained based on the inlet BOD concentration, the target treatment concentration, and the pipeline flow rate.

7. A municipal drainage system for implementing the municipal drainage method as described in any one of claims 1-6, characterized in that, include: The regional feature acquisition module is used to obtain regional coefficients and soil saturation index, and to obtain regional feature values ​​based on regional coefficients and soil saturation index. The meteorological feature acquisition module is used to acquire the short-term rainstorm threat level and obtain meteorological feature values ​​based on the short-term rainstorm threat level. The water quality characteristic acquisition module is used to acquire the BOD load threshold and the wastewater treatment urgency coefficient, and to acquire water quality characteristic values ​​based on the BOD load threshold and the wastewater treatment urgency coefficient. The control module is used to obtain a comprehensive risk index based on regional, meteorological, and water quality characteristics, and to execute corresponding drainage diversion strategies based on the comprehensive risk index.

8. A municipal drainage system as described in claim 7, characterized in that, The regional feature acquisition module includes: The slope coefficient acquisition unit is used to obtain the soil saturated permeability and obtain the terrain slope coefficient based on the tangent of the terrain slope angle and the soil saturated permeability. The vegetation interception acquisition unit is used to acquire rainfall intensity and obtain vegetation interception based on vegetation density, leaf area index and rainfall intensity. The saturation index acquisition unit is used to obtain the soil saturation index based on the terrain slope coefficient and vegetation interception. The regional feature acquisition unit is used to obtain regional feature values ​​based on the regional coefficient and the soil saturation index. Among them, the terrain slope information includes the terrain slope angle, and the vegetation information includes vegetation density and leaf area index.

9. A municipal drainage system as described in claim 8, characterized in that, The meteorological feature acquisition module includes: The rainstorm threat assessment unit is used to acquire real-time rainfall, rainstorm recurrence interval, and dew point temperature, and to obtain the short-term rainstorm threat level based on the real-time rainfall, rainstorm recurrence interval, and dew point temperature. The meteorological feature acquisition unit is used to acquire the short-term rainstorm threat level and obtain meteorological feature values ​​based on the short-term rainstorm threat level.

10. A municipal drainage device, characterized in that, The municipal drainage equipment includes: Controller; Memory, which stores executable instructions; The executable instructions can run on the controller and implement the municipal drainage method as described in any one of claims 1 to 6.

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