Urban inland inundation risk early warning prevention and control system

Abstract

The invention discloses an urban waterlogging risk early warning, prevention and control system, which belongs to the technical field of waterlogging early warning and comprises a data engineering module, a drainage system problem diagnosis module, a waterlogging risk grade evaluation module, a waterlogging prevention scheduling scheme rehearsal module and an urban waterlogging management and control center. According to the invention, a drainage system problem diagnosis model based on SWMM and TELEMAC-2D is constructed, parameter calibration and comparison are carried out by using typical rainfall event data, and rainfall confluence, drainage pipe network hydrodynamic force and earth surface two-dimensional overflow conditions of a region can be simulated according to real-time online monitoring data of regional rainfall and pipe network source node inflow. Therefore, the running state of the drainage pipe network, the inundation range of waterlogging and the inundation water depth are predicted, the waterlogging risk is diagnosed, and the problem that urban waterlogging risk assessment only depends on subjective experience and is not timely is effectively solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of urban waterlogging early warning, and in particular relates to an urban waterlogging risk early warning and control system. Background Art

[0002] Urban waterlogging refers to the phenomenon that heavy or continuous rainfall in a city exceeds the capacity of urban rainwater facilities, resulting in water accumulation on the urban ground. Affected by global extreme climate change and rapid urban expansion, urban waterlogging disasters have become increasingly serious in recent years, endangering urban public safety and restricting social development. It also exposes problems such as unreasonable urban planning and lagging construction of flood control and drainage capacity. The urban drainage network system is an important urban infrastructure and a backbone project for urban drainage and waterlogging prevention. It plays an important role in ensuring safety in eliminating and reducing urban road waterlogging, combined sewer overflow and other waterlogging disasters.

[0003] For the diagnosis, identification and prevention of urban waterlogging risks, existing technologies mainly use hydrological and hydraulic models to simulate urban waterlogging and assess waterlogging risks of rainfall events with different return periods in a certain area. However, it can only assess regional waterlogging risks for rainfall events with return periods of 1 year, 5 years, and 10 years, but cannot achieve real-time online assessment of urban waterlogging risks; and it only assesses waterlogging risks, but rarely provides appropriate urban waterlogging governance and risk avoidance solutions, which does not reflect the core value of urban waterlogging research. Summary of the invention

[0004] The purpose of the present invention is to provide an urban waterlogging risk early warning and control system to solve the problems faced by the above-mentioned background technology.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] An urban waterlogging risk early warning and control system, the control system comprising:

[0007] A data engineering module, which is used to collect and manage raw data of urban areas and convert it into effective information that can be used by other modules;

[0008] A drainage system problem diagnosis module, which is used to simulate the operation of the urban drainage system based on the acquired raw data, so as to obtain the hydraulic conditions of the regional drainage network, the flooding range and flooding depth of the waterlogging in real time, and then diagnose whether there is a risk of waterlogging in the area;

[0009] A waterlogging risk rating module, which is used to classify the waterlogging risk of a region according to the pedestrian hazard index of the region;

[0010] A flood control scheduling scheme preview module, which is used to preview the evolution of waterlogging under different parameter settings of the drainage system and intelligently recommend the best flood control scheduling scheme;

[0011] The urban waterlogging control center is used to integrate the output information of the data engineering module, the drainage system problem diagnosis module, the waterlogging risk level assessment module, and the waterlogging prevention scheduling plan rehearsal module, and centrally display them in a visual manner to provide relevant management personnel with a convenient and easy-to-use urban waterlogging control platform.

[0012] Furthermore, the original data includes basic data of the drainage network in the region, terrain data of the region, land use type data of the region, rainfall data, inflow at the source of the drainage network, flow rate of waterlogging, etc.

[0013] Furthermore, the working method of the drainage system problem diagnosis module is:

[0014] Step 1: Using the regional terrain data, land use type data, drainage network basic data, drainage network source inflow, and rainfall data, based on the SWMM model, simulate the rainfall runoff Rc, rainfall runoff Rr, and drainage network hydrodynamic value PV in the region;

[0015] Step 2: Input the overflow results output by the SWMM model as point sources into the Telemac-2D model to perform two-dimensional surface overflow simulation, and obtain the flooding range proportion S and flooding depth D of the waterlogging in the area;

[0016] Step 3: Couple the SWMM model and the Telemac-2D model to construct a diagnostic model for urban drainage system problems. Based on the diagnostic model, the regional waterlogging risk value is obtained. The typical rainfall event data in the region is combined with the waterlogging risk value to diagnose whether there is a waterlogging risk in the region.

[0017] Furthermore, the method for diagnosing whether there is a risk of waterlogging in the area in step 3 is:

[0018] Construct a diagnostic model for urban drainage system problems and express it through mathematical model expressions The waterlogging risk value D of the area is obtained wl ;

[0019] The waterlogging risk threshold for the area is formulated based on the typical rainfall event data in the area. The waterlogging risk value D wl Compared with the proposed flood risk threshold To compare:

[0020] when When , the area is diagnosed as having waterlogging risk;

[0021] Among them, t a is the start time of the scheduled diagnosis cycle, t b is the end time of the scheduled diagnosis period, Rc(t) is the rainfall runoff variation curve over time within the scheduled diagnosis period, Rr(t) is the rainfall runoff variation curve over time within the scheduled diagnosis period, PV is the hydrodynamic value of the drainage network within the scheduled diagnosis period, D(t) is the submerged depth variation curve over time within the scheduled diagnosis period, S is the proportion of the submerged range within the scheduled diagnosis period, τ 1 and τ 2 is the preset coefficient.

[0022] Furthermore, the pedestrian risk index is obtained by:

[0023] Obtain the average flooding depth d and average water flow velocity v within a diagnostic period;

[0024] The pedestrian risk index HR is obtained by the formula HR = d*(v+0.5)+DF;

[0025] Among them, HR is the pedestrian hazard index, DF is the water depth hazard factor, when d≤0.15m, DF=0.5, d>0.15m, DF=1.0.

[0026] Furthermore, the waterlogging risk level assessment module may classify the waterlogging risk of a region according to the pedestrian hazard index of the region as follows:

[0027] The risk levels include low risk, medium risk, high risk, and extremely high risk, thus constructing a four-classification model based on the decision tree algorithm;

[0028] When HR is less than 0.75, it is determined to be low risk;

[0029] When 0.75≤HR<1.25, it is determined to be medium risk;

[0030] When 1.25≤HR≤2.0, it is determined to be high risk;

[0031] When HR>2.0, it is determined to be extremely high risk.

[0032] Furthermore, the working method of the flood control scheduling scheme preview module is:

[0033] When the output results of the model show that there is an extremely high risk of urban flooding in the region, a preview model of urban flood control scheduling scheme is built based on the constructed urban drainage system problem diagnosis model. By setting different discharge outlet boundary conditions, diverter working parameters, water pump on / off condition parameters, orifice switch time, weir flow adjustment parameters, outlet flow adjustment parameters, etc., a variety of urban drainage system scheduling schemes are formed, and the evolution of urban waterlogging under these scheduling schemes is previewed, so that the scheduling scheme with safe operation of the drainage system or the best drainage effect is used as the urban flood control scheduling scheme recommended by the system.

[0034] Beneficial effects of the present invention:

[0035] The present invention constructs a drainage system problem diagnosis model based on SWMM and TELEMAC-2D, and uses typical rainfall event data for parameter calibration and comparison. It can simulate regional rainfall runoff, drainage network hydrodynamics and two-dimensional surface overflow according to real-time online monitoring data of regional rainfall and network source node inflow, so as to predict the operation status of the drainage network, the inundation range and inundation depth of urban waterlogging, thereby effectively solving the problem of urban waterlogging risk assessment relying solely on subjective experience and being untimely.

[0036] The present invention trains an urban waterlogging risk level assessment model based on a decision tree algorithm from a large amount of historical monitoring data, and can determine the waterlogging risk level according to the size of the pedestrian hazard index obtained, so that management personnel can timely understand the corresponding waterlogging hazard situation and take corresponding measures to reduce casualties and property losses.

[0037] The urban flood control scheduling scheme preview model constructed by the present invention can simulate the evolution of urban flooding when different start / stop working parameters are set for facilities such as water pumps and diverters in areas with extremely high risks of urban flooding, and intelligently recommend urban flood control scheduling schemes based on the flood control effects of different parameter combinations.

[0038] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0040] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] In one embodiment, a system for early warning and control of urban waterlogging risk is disclosed. Figure 1 As shown, the early warning and prevention system includes:

[0043] Data engineering module: The data engineering module is used to collect and manage the original data of the urban area and convert it into effective information that can be used by other modules. The original data includes the basic data of the drainage network in the area, the terrain data in the area, the land use type data in the area, rainfall data, the inflow of the drainage network source, the flow rate of waterlogging, etc.

[0044] Drainage system problem diagnosis module: The drainage system problem diagnosis module is used to simulate the operation of the urban drainage system based on the acquired raw data, so as to obtain the hydraulic conditions of the regional drainage network, the flooding range and flooding depth of the waterlogging in real time, and then diagnose whether there is a risk of waterlogging in the area;

[0045] The waterlogging risk rating module is used to classify the waterlogging risk of a region according to the pedestrian hazard index of the region;

[0046] The flood control scheduling scheme preview module is used to preview the evolution of waterlogging under different parameter settings of the drainage system, and intelligently recommend the best flood control scheduling scheme;

[0047] The urban waterlogging control center is used to integrate the output information of the data engineering module, drainage system problem diagnosis module, waterlogging risk level assessment module, and waterlogging prevention and scheduling plan rehearsal module, and centrally display them for visualization, providing relevant managers with a convenient and easy-to-use urban waterlogging control platform.

[0048] Through the above technical solution, the application first collects and manages the original data through the data engineering module, and converts it into effective information that can be used by other modules. The original data includes the basic data of the regional drainage network (for example, pipe diameter, pipe length, inner bottom elevation, topological structure), terrain data (for example, ground elevation, slope), land use type data (for example, impermeability), rainfall data, drainage network source inflow, water flow velocity of urban waterlogging, etc., and then builds a corresponding model based on the obtained original data to obtain the hydraulic conditions of the regional drainage network, the inundation range and inundation depth of urban waterlogging, so as to generate the corresponding urban waterlogging risk value in real time, and use the typical data of the region to calculate the risk of urban waterlogging. The typical rainfall event data is combined with the waterlogging risk value to diagnose whether there is a waterlogging risk in the area, so that the waterlogging risk of the area can be evaluated in real time; and when the waterlogging risk is diagnosed, the pedestrian hazard index is obtained, and the waterlogging risk of the area is graded according to the pedestrian hazard index, so that management personnel can timely understand the corresponding waterlogging hazard situation and take corresponding measures; at the same time, the waterlogging control scheduling plan rehearsal module can also be used to construct an urban drainage system problem diagnosis model, and rehearse the evolution of waterlogging under different parameter settings of the drainage system, so as to intelligently recommend the best waterlogging control scheduling plan, conduct early warning and prevention, and facilitate the governance of urban waterlogging.

[0049] As an implementation mode of the present invention, the working method of the drainage system problem diagnosis module is as follows:

[0050] Step 1: Using the regional terrain data, land use type data, drainage network basic data, drainage network source inflow, and rainfall data, based on the SWMM model, simulate the rainfall runoff Rc, rainfall runoff Rr, and drainage network hydrodynamic value PV in the region;

[0051] Step 2: Input the overflow results output by the SWMM model as point sources into the Telemac-2D model to perform two-dimensional surface overflow simulation, and obtain the flooding range proportion S and flooding depth D of the waterlogging in the area;

[0052] Step 3: Couple the SWMM model and the Telemac-2D model to build a diagnostic model for urban drainage system problems, and derive the regional waterlogging risk value based on the diagnostic model. Use the typical rainfall event data in the region combined with the waterlogging risk value to diagnose whether there is a waterlogging risk in the region.

[0053] The method for diagnosing whether there is a risk of waterlogging in an area is to construct a diagnostic model for urban drainage system problems and express it through a mathematical model. The waterlogging risk value D of the area is obtained wl ;

[0054] The waterlogging risk threshold for the area is formulated based on the typical rainfall event data in the area. The waterlogging risk value D wl Compared with the proposed flood risk threshold To compare:

[0055] when When , the area is diagnosed as having waterlogging risk;

[0056] Among them, t a is the start time of the scheduled diagnosis cycle, t b is the end time of the scheduled diagnosis period, Rc(t) is the rainfall runoff variation curve over time within the scheduled diagnosis period, Rr(t) is the rainfall runoff variation curve over time within the scheduled diagnosis period, PV is the hydrodynamic value of the drainage network within the scheduled diagnosis period, D(t) is the submerged depth variation curve over time within the scheduled diagnosis period, S is the proportion of the submerged range within the scheduled diagnosis period, τ 1 and τ 2 is the preset coefficient.

[0057] Through the above technical scheme, this embodiment provides specific method steps for diagnosing whether there is a risk of waterlogging in a region. First, the regional terrain data, land use type data, drainage network basic data, drainage network source inflow, and rainfall data are used to simulate the rainfall runoff Rc, rainfall runoff Rr and drainage network hydrodynamic value PV in the region based on the SWMM model. Then, the overflow result output by the SWMM model is input as a point source into the Telemac-2D model to perform a two-dimensional surface overflow simulation to obtain the flooding range proportion S and flooding depth D of the waterlogging in the region. Then, the SWMM model and the Telemac-2D model are coupled to construct an urban drainage system problem diagnosis model, and the regional waterlogging risk value is obtained according to the diagnosis model. The typical rainfall event data of the region is combined with the waterlogging risk value to diagnose whether there is a risk of waterlogging in the region. In this way, the urban "rainfall runoff-pipeline hydrodynamics-surface two-dimensional overflow" process can be simulated to achieve dynamic and refined diagnosis of the operating status of the urban drainage system. Specifically, through the mathematical model expression The waterlogging risk value D of the area is obtained wl , where τ 1 and τ 2 is a preset coefficient, which can be determined based on empirical data combined with historical data. A predetermined diagnosis cycle is set, which can be determined artificially according to actual conditions, such as half an hour or one hour as a diagnosis cycle, and then the regional waterlogging risk value D is obtained. wl ,formula It indicates the changes in rainfall generation and runoff within the predetermined period. High runoff generation indicates that the ability of rainfall to be converted into runoff is strong, that is, more rainfall is converted into runoff. High runoff indicates that the ability of runoff to be collected into rivers is strong, that is, the runoff can be collected into the main river channel quickly. Therefore, when its value is larger, it means that a large amount of surface runoff is generated in a short period of time, and the runoff quickly collects into low-lying areas or rivers, resulting in that the urban drainage system may not be able to discharge such a large amount of runoff in time, thereby increasing the risk of waterlogging. Similarly, the smaller the hydrodynamic value PV of the drainage network, the slower the discharge speed, and the greater the risk of waterlogging. Formula It indicates the change of water depth within the predetermined period. The greater the change, the greater the risk of waterlogging. Similarly, the greater the proportion of flooding inundation area S, the greater the risk of waterlogging. Therefore, when the waterlogging risk value D wl The larger the value, the greater the possibility of waterlogging risk. Therefore, the waterlogging risk threshold of the area is formulated based on the typical rainfall event data of the area. Then the obtained flood risk value D wl Compared with the proposed flood risk threshold Compare: When In this way, a drainage system problem diagnosis model based on SWMM and TELEMAC-2D is constructed, and parameter calibration and comparison are performed using typical rainfall event data. Based on the online monitoring data of regional rainfall and inflow at the source node of the network, the regional rainfall runoff, drainage network hydrodynamics, and two-dimensional surface overflow can be simulated, and the operation status of the drainage network, the flooding range and depth of flooding can be predicted, thereby effectively solving the problem of urban flooding risk assessment relying solely on subjective experience and being untimely.

[0058] As an implementation of the present invention, a method for obtaining a pedestrian risk index is as follows:

[0059] Obtain the average flooding depth d and average water flow velocity v within a diagnostic period;

[0060] The pedestrian risk index HR is obtained by the formula HR = d*(v+0.5)+DF;

[0061] Among them, HR is the pedestrian hazard index, DF is the water depth hazard factor, when d≤0.15m, DF=0.5, d>0.15m, DF=1.0;

[0062] The waterlogging risk level assessment module divides the waterlogging risk of a region into different levels according to the pedestrian risk index of the region: the risk levels include low risk, medium risk, high risk, and extremely high risk, thereby constructing a four-classification model based on the decision tree algorithm;

[0063] When HR is less than 0.75, it is determined to be low risk;

[0064] When 0.75≤HR<1.25, it is determined to be medium risk;

[0065] When 1.25≤HR≤2.0, it is determined to be high risk;

[0066] When HR>2.0, it is determined to be extremely high risk.

[0067] Through the above technical scheme, this embodiment provides a method for determining a pedestrian hazard index and a method for grading the waterlogging risk of a region according to the pedestrian hazard index. Since the degree of danger when waterlogging occurs is mainly related to the water flow velocity and aquatic life, the average flooding depth d and the average water flow velocity v within a diagnostic period are obtained, and then a water depth hazard coefficient DF is set. When d≤0.15m, DF=0.5, and when d>0.15m, DF=1.0; the pedestrian hazard index HR is obtained by the formula HR=d*(v+0.5)+DF, and the hazard level is assessed according to the size of the pedestrian hazard index; in this way, by taking the pedestrian hazard index as an instrumental variable and based on the decision tree algorithm, the complex relationship between the urban waterlogging risk level and the waterlogging depth, waterlogging time, and waterlogging area is mined from a large amount of historical data, thereby realizing a waterlogging risk assessment that combines qualitative and quantitative methods. Specifically, first, the risk levels include low risk, medium risk, high risk, and extremely high risk. A decision tree algorithm-based urban waterlogging risk level assessment model is trained and learned from a large amount of historical monitoring data. When HR is less than 0.75, it indicates that the water in the flooded area is shallow and the flow rate is slow, and the waterlogging risk level is determined to be low risk. When 0.75≤HR<1.25, it indicates that the flooded area is prone to cause danger to vulnerable groups such as children, the elderly and the weak. At this time, the waterlogging risk level is determined to be medium risk. When 1.25≤HR≤2.0, it indicates that waterlogging is dangerous to most people, and the water in the flooded area is deep and the flow rate is large, then the waterlogging risk level is determined to be high risk. When HR>2.0, it indicates that waterlogging is very dangerous to everyone and is very likely to cause casualties, then the waterlogging risk level is determined to be extremely high risk. In this way, the risk level of the waterlogged area can be determined according to the pedestrian hazard index, which is convenient for management personnel to timely understand the corresponding waterlogging danger situation, so as to take corresponding measures to reduce casualties and property losses.

[0068] As an implementation scheme of the present invention, the working method of the flood control scheduling scheme preview module is as follows: when the output result of the model shows that there is an extremely high risk of urban flooding in the area, an urban flood control scheduling scheme preview model is built based on the constructed urban drainage system problem diagnosis model, and a variety of urban drainage system scheduling schemes are formed by setting different discharge port boundary conditions, diverter working parameters, water pump on / off condition parameters, orifice switch time, weir flow adjustment parameters, outlet flow adjustment parameters, etc., and the evolution of urban waterlogging under these scheduling schemes is previewed, so that the scheduling scheme with safe operation of the drainage system or the best drainage effect is used as the urban flood control scheduling scheme recommended by the system.

[0069] Through the above technical scheme, this embodiment provides a method for the flood control scheduling scheme preview module to intelligently recommend the best flood control scheduling scheme. When the output result of the model shows that there is an extremely high risk of urban flooding in the area, an urban flood control scheduling scheme preview model is built based on the constructed urban drainage system problem diagnosis model. By setting different discharge port boundary conditions, diverter working parameters, water pump on / off condition parameters, orifice switch time, weir flow adjustment parameters, outlet flow adjustment parameters, etc., a variety of urban drainage system scheduling schemes are formed, and the evolution of urban waterlogging under these scheduling schemes is previewed. In combination with the constructed urban drainage system problem diagnosis model, only the waterlogging disaster prevention and control effects of different scheduling schemes can be evaluated, so that the scheduling scheme with safe operation of the drainage system or the best drainage effect is used as the urban flood control scheduling scheme recommended by the system.

[0070] The present invention constructs a drainage system problem diagnosis model based on SWMM and TELEMAC-2D, and uses typical rainfall event data for parameter calibration and comparison. It can simulate regional rainfall runoff, drainage network hydrodynamics and two-dimensional surface overflow according to real-time online monitoring data of regional rainfall and network source node inflow, so as to predict the operation status of the drainage network, the inundation range and inundation depth of urban waterlogging, thereby effectively solving the problem of urban waterlogging risk assessment relying solely on subjective experience and being untimely.

[0071] The present invention trains an urban waterlogging risk level assessment model based on a decision tree algorithm from a large amount of historical monitoring data, and can determine the waterlogging risk level according to the size of the pedestrian hazard index obtained, so that management personnel can timely understand the corresponding waterlogging hazard situation and take corresponding measures to reduce casualties and property losses.

[0072] The urban flood control scheduling scheme preview model constructed by the present invention can simulate the evolution of urban flooding when different start / stop working parameters are set for facilities such as water pumps and diverters in areas with extremely high risks of urban flooding, and intelligently recommend urban flood control scheduling schemes based on the flood control effects of different parameter combinations.

[0073] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. An urban waterlogging risk early warning and control system, characterized in that: The prevention and control system comprises: A data engineering module, which is used to collect and manage raw data of urban areas and convert it into effective information that can be used by other modules; A drainage system problem diagnosis module, which is used to simulate the operation of the urban drainage system based on the acquired raw data, so as to obtain the hydraulic conditions of the regional drainage network, the flooding range and flooding depth of the waterlogging in real time, and then diagnose whether there is a risk of waterlogging in the area; A waterlogging risk rating module, which is used to classify the waterlogging risk of a region according to the pedestrian hazard index of the region; A flood control scheduling scheme preview module, which is used to preview the evolution of waterlogging under different parameter settings of the drainage system and intelligently recommend the best flood control scheduling scheme; The urban waterlogging control center is used to integrate the output information of the data engineering module, the drainage system problem diagnosis module, the waterlogging risk level assessment module, and the waterlogging prevention scheduling plan rehearsal module, and centrally display them in a visual manner to provide relevant management personnel with a convenient and easy-to-use urban waterlogging control platform.

2. The urban waterlogging risk early warning and control system according to claim 1 is characterized in that: The original data include basic data of the regional drainage network, regional terrain data, regional land use type data, rainfall data, drainage network source inflow, waterlogging flow velocity, etc.

3. The urban waterlogging risk early warning and control system according to claim 2 is characterized in that: The working method of the drainage system problem diagnosis module is: Step 1: Using the regional terrain data, land use type data, drainage network basic data, drainage network source inflow, and rainfall data, based on the SWMM model, simulate the rainfall runoff Rc, rainfall runoff Rr, and drainage network hydrodynamic value PV in the region; Step 2: Input the overflow results output by the SWMM model as point sources into the Telemac-2D model to perform two-dimensional surface overflow simulation, and obtain the flooding range proportion S and flooding depth D of the waterlogging in the area; Step 3: Couple the SWMM model and the Telemac-2D model to construct a diagnostic model for urban drainage system problems. Based on the diagnostic model, the regional waterlogging risk value is obtained. The typical rainfall event data in the region is combined with the waterlogging risk value to diagnose whether there is a waterlogging risk in the region.

4. The urban waterlogging risk early warning and control system according to claim 3 is characterized in that: The method for diagnosing whether there is a risk of waterlogging in the area in step 3 is: Construct a diagnostic model for urban drainage system problems and express it through mathematical model expressions The waterlogging risk value D of the area is obtained wl ; The waterlogging risk threshold for the area is formulated based on the typical rainfall event data in the area. The waterlogging risk value D wl Compared with the proposed flood risk threshold To compare: when When , the area is diagnosed as having waterlogging risk; Among them, t a is the start time of the scheduled diagnosis cycle, t b is the end time of the scheduled diagnosis period, Rc(t) is the rainfall runoff variation curve within the scheduled diagnosis period, Rr(t) is the rainfall runoff variation curve within the scheduled diagnosis period, PV is the hydrodynamic value of the drainage network within the scheduled diagnosis period, D(t) is the flooding depth variation curve within the scheduled diagnosis period, S is the proportion of the flooding range within the scheduled diagnosis period, τ1 and τ2 are preset coefficients.

5. The urban waterlogging risk early warning and control system according to claim 4 is characterized in that: The method for obtaining the pedestrian risk index is: Obtain the average flooding depth d and average water flow velocity v within a diagnostic period; The pedestrian risk index HR is obtained by the formula HR = d*(v+0.5)+DF; Among them, HR is the pedestrian hazard index, DF is the water depth hazard factor, when d≤0.15m, DF=0.5, d>0.15m, DF=1.

0.

6. The urban waterlogging risk early warning and control system according to claim 5, characterized in that: The method by which the waterlogging risk level assessment module classifies the waterlogging risk of a region according to the pedestrian hazard index of the region is as follows: The risk levels include low risk, medium risk, high risk, and extremely high risk, thus constructing a four-classification model based on the decision tree algorithm; When HR is less than 0.75, it is determined to be low risk; When 0.75≤HR<1.25, it is determined to be medium risk; When 1.25≤HR≤2.0, it is determined to be high risk; When HR>2.0, it is determined to be extremely high risk.

7. The urban waterlogging risk early warning and control system according to claim 6, characterized in that: The working method of the flood control scheduling scheme preview module is: When the output results of the model show that there is an extremely high risk of urban flooding in the region, a preview model of urban flood control scheduling scheme is built based on the constructed urban drainage system problem diagnosis model. By setting different discharge outlet boundary conditions, diverter working parameters, water pump on / off condition parameters, orifice switch time, weir flow adjustment parameters, outlet flow adjustment parameters, etc., a variety of urban drainage system scheduling schemes are formed, and the evolution of urban waterlogging under these scheduling schemes is previewed, so that the scheduling scheme with safe operation of the drainage system or the best drainage effect is used as the urban flood control scheduling scheme recommended by the system.

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