An urban flood monitoring and emergency response system

Abstract

This invention relates to the field of urban disaster prevention and mitigation, and more particularly to an urban flooding monitoring and emergency response system. The system includes a data acquisition module, a data integration module, a data processing module, and an emergency dispatch module. The data acquisition module collects water level data from various monitoring points. The data integration module integrates the data collected by the acquisition module and determines whether any water levels exceed their corresponding thresholds. The data processing module calculates the flooding probability index for each monitoring point based on the integrated data and determines whether emergency response is needed. The emergency dispatch module generates an emergency plan based on the results from the data integration and processing modules and sends it to the user terminal. This system helps to understand whether flooding is likely to occur at each monitoring point in the future. By calculating the flooding probability index, the system quantifies the probability, facilitating timely responses from staff.

Description

Technical Field

[0001] This invention relates to the field of urban disaster prevention and mitigation, and in particular to an urban flooding monitoring and emergency response system. Background Technology

[0002] With the acceleration of urbanization, the density of urban infrastructure and buildings is gradually increasing, and urban flooding is becoming increasingly serious. Urban flooding refers to the accumulation of water in low-lying areas or streets in cities when urban drainage systems fail to drain rainwater in time under extreme weather conditions such as precipitation or heavy rain, seriously affecting urban traffic, residents' lives, and economic activities. Flooding is particularly frequent in cities with inadequate or aging drainage systems, thus necessitating urban flooding monitoring and emergency response.

[0003] For example, prior art CN109186675A discloses a method and device for monitoring urban flooding. The method includes: acquiring liquid level information sent by a water level sensor and image information sent by an image acquisition unit, wherein the water level sensor is set at a first preset position in a preset area and the image acquisition unit is set at a second preset position in the preset area; determining the ground water level based on the liquid level information and the image information; determining an indicator color corresponding to the ground water level, and illuminating an indicator light according to the indicator color, wherein the indicator light is used to indicate the urban flooding situation in the preset area through the indicator color.

[0004] Another typical example is the urban flooding monitoring system and method disclosed in prior art CN118823964A. It includes: multiple parameter acquisition devices for collecting urban water information; a data cloud platform for receiving the urban water information collected by the multiple parameter acquisition devices; a first communication module for enabling communication between the multiple parameter acquisition devices and the data cloud platform, allowing the multiple parameter acquisition devices to transmit urban water information to the data cloud platform; an urban flooding monitoring platform for analyzing the aggregated urban water information, obtaining flood warning information, and generating protection strategies based on the flood warning information for flood control; and a second communication module for enabling communication between the data cloud platform and the urban flooding monitoring platform, allowing the multiple data cloud platforms to send the aggregated urban water information to the urban flooding monitoring platform.

[0005] Let's look at an existing technology, such as CN117968583A, which discloses a system and method for monitoring and warning of urban flooding. This relates to the field of flooding monitoring technology. The system includes: a liquid level monitoring device buried under the road surface with its monitoring section flush with the road surface; the liquid level monitoring device monitors and transmits information about the depth of flooded water; and an early warning station located on one side of the road, used to monitor the area of ​​flooded water on the road surface and receive the water depth information transmitted by the liquid level monitoring device. Based on the water depth information and the flooded area information, an urban flooding warning is issued.

[0006] Current urban flooding monitoring systems are not very targeted and do not provide specific predictions of flooding conditions in different locations. In order to solve this problem, this invention was developed. Summary of the Invention

[0007] The purpose of this invention is to address the shortcomings of current systems by proposing an urban flooding monitoring and emergency response system.

[0008] To overcome the shortcomings of the prior art, the present invention adopts the following technical solution:

[0009] An urban flooding monitoring and emergency response system includes a data acquisition module, a data integration module, a data processing module, and an emergency dispatch module. The data acquisition module collects water level data from various monitoring points. The data integration module integrates the data collected by the data acquisition module and determines whether there is water level data exceeding its corresponding threshold. The data processing module calculates the flooding probability index for each monitoring point based on the integrated data and determines whether emergency response is needed based on the flooding probability index. The emergency dispatch module generates an emergency plan based on the judgment results of the data integration module and the processing results of the data processing module.

[0010] Furthermore, the data acquisition module includes an environmental data acquisition unit, a water accumulation point monitoring unit, a river monitoring unit, and a drainage network monitoring unit. The environmental data acquisition unit is used to collect urban rainfall data and predicted future rainfall data. The water accumulation point monitoring unit is used to monitor the water level at each water accumulation point. The river monitoring unit is used to monitor the water level in the river. The drainage network monitoring unit is used to monitor the water level in the manholes.

[0011] Furthermore, the water accumulation point monitoring unit, river monitoring unit, and drainage network monitoring unit each include the following components: an electronic water level gauge, an automatic camera, an ultrasonic detector, and a signal transmission port. The electronic water level gauge is used to measure the water level, the automatic camera is used to automatically capture images near the monitoring location, the ultrasonic detector is used to detect obstacles in the water using ultrasonic waves, and the signal transmission port is used to send the data acquired by the electronic water level gauge and the automatic camera to the data integration module.

[0012] Furthermore, the data integration module includes an identification unit, a database, a comparison unit, and a warning signal sending unit. The identification unit is used to identify the data sent by the data acquisition module. The database is used to store the corresponding thresholds of the water level data at each monitoring point and the data sent by the data acquisition module. The comparison unit is used to compare the water level data in the data sent by the data acquisition module with the corresponding thresholds stored in the database. The warning signal sending unit is used to send a warning signal to the emergency dispatch module when the water level data is greater than its corresponding threshold.

[0013] Furthermore, the data processing module includes an image recognition unit, a prediction unit, a judgment unit, and an early warning signal sending unit. The image recognition unit is used to identify and analyze images captured by the data acquisition module. The prediction unit is used to generate a waterlogging probability index for each monitoring point based on the data acquired by the data acquisition module and the recognition results of the image recognition unit. The judgment unit is used to compare the generated waterlogging probability index with a waterlogging probability index threshold and determine whether the city is likely to experience waterlogging based on the comparison results. The early warning signal sending unit is used to send an early warning signal to the emergency dispatch module when the judgment unit determines that the city is likely to experience waterlogging.

[0014] Furthermore, the emergency dispatch module includes an emergency plan storage unit, an emergency plan dispatch unit, an emergency resource management unit, and a user terminal. The emergency plan storage unit is used to store emergency plans for various types of flooding locations. The emergency plan dispatch unit is used to dispatch the corresponding emergency plan from the emergency plan storage unit based on the monitoring points corresponding to the early warning signals and warning signals. The emergency resource management unit is used to statistically manage various emergency resources and send emergency commands to the user terminal based on the early warning signals and warning signals. The user terminal is used to receive emergency commands.

[0015] Furthermore, the system's workflow includes the following steps:

[0016] S1, The data acquisition module collects water level data from each detection point and sends it to the data integration module;

[0017] S2, the data integration module determines whether there is water level data exceeding its corresponding threshold. If so, it sends a warning signal to the emergency dispatch module and executes S4; otherwise, it executes S3.

[0018] S3, the data processing module calculates the waterlogging probability index of each monitoring point based on the data integrated by the data integration module and determines whether the city is likely to experience waterlogging. If so, it sends an early warning signal to the emergency dispatch module and executes S4; otherwise, it ends.

[0019] S4, the emergency dispatch module generates an emergency plan based on the received signal and sends it to the user terminals of staff in various departments.

[0020] Furthermore, the emergency dispatch module generates an emergency plan by including the following steps:

[0021] S41, the emergency plan dispatching unit dispatches the corresponding emergency plan from the emergency plan storage unit according to the location of the monitoring point corresponding to the received signal type.

[0022] S42, the emergency resource management unit generates multiple corresponding emergency commands based on the received signal type, the dispatched emergency plan, and the currently available resources;

[0023] S43, the emergency resource management unit sends emergency commands to the user terminals of its corresponding work departments based on the currently available resources.

[0024] The beneficial effects achieved by this invention are: 1. By calculating the probability of waterlogging after N days, it is helpful to understand whether waterlogging is likely to occur at each monitoring point in the future. By calculating the probability index of waterlogging, it is helpful to quantify the probability, which makes it easier for staff to take corresponding countermeasures in a timely manner.

[0025] 2. By dividing the monitoring points into water accumulation points, river channels, and drainage pipes, it is beneficial to calculate different waterlogging probability indicators based on the actual conditions of different points, which helps to improve the accuracy of waterlogging probability calculation. Attached Figure Description

[0026] 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 the same parts.

[0027] Figure 1 This is a schematic diagram of the structure of the present invention.

[0028] Figure 2 This is a flowchart of the process of the present invention.

[0029] Figure 3A flowchart for generating emergency plans for the emergency dispatch module of this invention.

[0030] Figure 4 This is a graph showing the relationship between the probability index of urban flooding at the monitoring point N days later and the current water level data at the monitoring point. Detailed Implementation

[0031] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can understand the advantages and effects of the present invention from the content disclosed in this specification. The present invention can be implemented or applied through other different specific embodiments, and various details in this specification can also be modified and changed based on different viewpoints and applications without departing from the spirit of the present invention. Furthermore, the accompanying drawings of the present invention are for simple illustrative purposes only and are not depictions of actual dimensions; this is stated beforehand. The following embodiments will further describe the relevant technical content of the present invention in detail, but the disclosed content is not intended to limit the scope of protection of the present invention.

[0032] Example 1: According to Figure 1 , Figure 2 , Figure 3 and Figure 4 This embodiment provides an urban flooding monitoring and emergency response system, including a data acquisition module, a data integration module, a data processing module, and an emergency dispatch module. The data acquisition module is used to collect water level data at various monitoring points. The data integration module is used to integrate the data collected by the data acquisition module and determine whether there is water level data exceeding its corresponding threshold. The data processing module is used to calculate the flooding probability index of each monitoring point based on the integrated data and determine whether emergency response is needed for each monitoring point based on the flooding probability index. The emergency dispatch module is used to generate an emergency plan based on the judgment result of the data integration module and the processing result of the data processing module.

[0033] Specifically, the corresponding thresholds for water level data at each monitoring point are set by those skilled in the art based on the type of each monitoring point (such as river water level or drainage network).

[0034] Furthermore, the data acquisition module includes an environmental data acquisition unit, a water accumulation point monitoring unit, a river monitoring unit, and a drainage network monitoring unit. The environmental data acquisition unit is used to collect urban rainfall data and predicted future rainfall data. The water accumulation point monitoring unit is used to monitor the water level at each water accumulation point. The river monitoring unit is used to monitor the water level in the river. The drainage network monitoring unit is used to monitor the water level in the manholes.

[0035] Specifically, the environmental data acquisition unit communicates with the weather station to obtain urban rainfall data and future rainfall forecasts; the water accumulation points include, but are not limited to, locations prone to water accumulation such as the bottom of overpasses.

[0036] Furthermore, the water accumulation point monitoring unit, river monitoring unit, and drainage network monitoring unit each include the following components: an electronic water level gauge, an automatic camera, an ultrasonic detector, and a signal transmission port. The electronic water level gauge is used to measure the water level, the automatic camera is used to automatically capture images near the monitoring location, the ultrasonic detector is used to detect obstacles in the water using ultrasonic waves, and the signal transmission port is used to send the data acquired by the electronic water level gauge and the automatic camera to the data integration module.

[0037] Furthermore, the data integration module includes an identification unit, a database, a comparison unit, and a warning signal sending unit. The identification unit is used to identify the data sent by the data acquisition module. The database is used to store the corresponding thresholds of the water level data at each monitoring point and the data sent by the data acquisition module. The comparison unit is used to compare the water level data in the data sent by the data acquisition module with the corresponding thresholds stored in the database. The warning signal sending unit is used to send a warning signal to the emergency dispatch module when the water level data is greater than its corresponding threshold.

[0038] Specifically, the corresponding thresholds for water level data at each monitoring point are set by those skilled in the art based on the water storage and drainage capacity of each monitoring point.

[0039] Furthermore, the data processing module includes an image recognition unit, a prediction unit, a judgment unit, and an early warning signal sending unit. The image recognition unit is used to identify and analyze images captured by the data acquisition module. The prediction unit is used to generate a waterlogging probability index for each monitoring point based on the data acquired by the data acquisition module and the recognition results of the image recognition unit. The judgment unit is used to compare the generated waterlogging probability index with a waterlogging probability index threshold and determine whether the city is likely to experience waterlogging based on the comparison results. The early warning signal sending unit is used to send an early warning signal to the emergency dispatch module when the judgment unit determines that the city is likely to experience waterlogging.

[0040] Specifically, the threshold value for the waterlogging probability index can be 1. When the waterlogging probability index is greater than this value, it is considered that the monitoring point has a high probability of causing waterlogging in the city.

[0041] Specifically, the prediction unit generally calculates the probability index of urban flooding 1 to 7 days after the monitoring point. That is, a total of 7 probability indices of urban flooding are calculated for each monitoring point. When one or more of the 7 probability indices of urban flooding are greater than the threshold of the probability index of urban flooding, it is considered that urban flooding may occur.

[0042] Specifically, both the warning signal and the early warning signal contain water level data of the corresponding monitoring point.

[0043] Furthermore, the emergency dispatch module includes an emergency plan storage unit, an emergency plan dispatch unit, an emergency resource management unit, and a user terminal. The emergency plan storage unit is used to store emergency plans for various types of flooding locations. The emergency plan dispatch unit is used to dispatch the corresponding emergency plan from the emergency plan storage unit based on the monitoring points corresponding to the early warning signals and warning signals. The emergency resource management unit is used to statistically manage various emergency resources and send emergency commands to the user terminal based on the early warning signals and warning signals. The user terminal is used to receive emergency commands.

[0044] Specifically, the emergency resources include, but are not limited to, human resources, various supplies, and vehicles for flood control.

[0045] Furthermore, the system's workflow includes the following steps:

[0046] S1, The data acquisition module collects water level data from each detection point and sends it to the data integration module;

[0047] S2, the data integration module determines whether there is water level data exceeding its corresponding threshold. If so, it sends a warning signal to the emergency dispatch module and executes S4; otherwise, it executes S3.

[0048] S3, the data processing module calculates the waterlogging probability index of each monitoring point based on the data integrated by the data integration module and determines whether the city is likely to experience waterlogging. If so, it sends an early warning signal to the emergency dispatch module and executes S4; otherwise, it ends.

[0049] Specifically, the probability of urban flooding at a certain monitoring point N days later can be calculated using the following formula:

[0050]

[0051]

[0052]

[0053] Among them, ZB NThis is an indicator of the likelihood of flooding at this monitoring point N days later. When the indicator value is greater than 1, flooding is considered likely. The higher the indicator value, the greater the likelihood of flooding. H SET UP represents the threshold value corresponding to the water level data at this monitoring point, H represents the current water level data at this monitoring point, and UP represents the threshold value. n DOWN is the parameter for the predicted water level rise on day n. n The parameters for predicting the water level drop on day n;

[0054] Determining whether the drainage outlet is connected to the monitoring point is equivalent to determining whether the bottom of the river within the monitoring range of the monitoring point is connected to the drainage outlet.

[0055] like Figure 4 As shown, Figure 4 Assumption The value is 3, H SET The graph shows the relationship between the probability index of urban flooding at the monitoring point N days later and the current water level data at the monitoring point, as of 3 PM.

[0056] R n Let F be the predicted total rainfall for the city on day n. This predicted total rainfall can be obtained through the environmental data acquisition unit. Let A be the number of connected drainage outlets when the monitoring point is a river and there are drainage outlets connected to the monitoring point. 1a () represents the functional relationship between the drainage volume of the a-th drainage outlet among A drainage outlets and the rainfall on that day. This functional relationship can be obtained by fitting historical data.

[0057] START is the starting point of the water accumulation point boundary, and END is the ending point of the water accumulation point boundary. The starting point and the ending point are the highest points of the water accumulation area projected onto the target plane. l is a point on the boundary. The starting point and the ending point coincide. The path calculated by the boundary integral is the outline of the projected area. The projected area of ​​the water accumulation area on the target plane can be determined by remote sensing images, hydrological monitoring, or numerical simulation. Then, the three-dimensional water accumulation area is projected onto the river cross-section, map coordinate system, or engineering design surface. Based on the projection result, the outline of the water accumulation area on the two-dimensional plane is generated. F4(l) is the boundary leakage function. Case 1 is when the ground height is lower than the height of the extended line (1 decimeter) in the direction of l when the line connecting the center point of the water accumulation point and the point l on the boundary is extended 1 decimeter in the direction of l. Case 2 is when the ground height is not lower than the height of the extended line (1 decimeter) in the direction of l when the line connecting the center point of the water accumulation point and the point l on the boundary is extended 1 decimeter in the direction of l. The plane area, ground height, and 1 decimeter can be identified by an image recognition unit. α is the angle between the line connecting the center point of the water accumulation point and the point l on the boundary and the horizontal plane.

[0058] B represents the number of inlets in the drainage network, F 2b() represents the functional relationship between the inflow rate of the b-th inlet of the drainage network and the rainfall on that day. This functional relationship can be obtained by fitting historical data.

[0059] Among them, F3(T n The equation (T) represents the functional relationship between water evaporation per square meter and temperature. This functional relationship can be obtained experimentally. n Let X be the temperature on day n, S be the monitoring area of ​​the monitoring point, and X be the temperature on day n. max X is the maximum x-coordinate of the water accumulation point in the coordinate-based image of the captured image. min Y is the minimum x-coordinate of the water accumulation point in the coordinate-based image of the captured image. max Y is the maximum ordinate of the water accumulation point in the coordinate-based image of the captured image. min The minimum ordinate of the water accumulation point in the coordinate-based image of the captured image is speed. xy The drainage parameter is the drainage parameter corresponding to the land type (such as soil, concrete, etc.) at the coordinate (x, y). The drainage parameter is the maximum amount of water that the land type can absorb in one day. The drainage parameter is obtained by those skilled in the art through laboratory experiments on land samples of the land type.

[0060] C represents the number of outlets in the drainage network, F 2c () represents the functional relationship between the outflow rate of the c-th outlet of the drainage network and the rainfall on that day. This functional relationship can be obtained by fitting historical data. D is the number of obstacles detected by the ultrasonic detector, HE is the cross-sectional area of ​​the pipe, and he d Let d be the cross-sectional area of ​​the detected obstacle, which can be the projected area of ​​the obstacle on the target plane.

[0061] Specifically, the obstruction is a stubborn substance that has been accumulated or stuck in the pipe for a long time and cannot be washed away by water flow.

[0062] S4, the emergency dispatch module generates an emergency plan based on the received signal and sends it to the user terminals of staff in various departments.

[0063] Furthermore, the emergency dispatch module generates an emergency plan by including the following steps:

[0064] S41, the emergency plan dispatching unit dispatches the corresponding emergency plan from the emergency plan storage unit according to the location of the monitoring point corresponding to the received signal type.

[0065] S42, the emergency resource management unit generates multiple corresponding emergency commands based on the received signal type, the dispatched emergency plan, and the currently available resources;

[0066] S43, the emergency resource management unit sends emergency commands to the user terminals of its corresponding work departments based on the currently available resources.

[0067] The beneficial effects of this plan are: 1. By calculating the probability of flooding after N days, it is helpful to understand whether flooding is likely to occur at each monitoring point in the future. By calculating the probability index of flooding, it is helpful to quantify the probability, which makes it easier for staff to take corresponding countermeasures in a timely manner.

[0068] 2. By dividing the monitoring points into water accumulation points, river channels, and drainage pipes, it is beneficial to calculate different waterlogging probability indicators based on the actual conditions of different points, enabling targeted predictions for different locations and improving the accuracy of waterlogging probability calculations.

[0069] Example 2: This example should be understood as including all the features of any of the foregoing examples, and further improving upon them. It also includes an optimized calculation method for drainage parameters. The drainage parameter *speed* given in Example 1 only considers the maximum water absorption capacity of the land type, without considering the impact of continuous rainfall on the absorbable water volume. When there is no rainfall on the land surface for several consecutive days, *speed* can be directly used as the drainage parameter. Conversely, the optimized drainage parameter *SPEED*, calculated using the following formula, can replace *speed* in calculating the probability of urban flooding, thereby improving the accuracy of urban flooding probability prediction. The following is the calculation formula for *SPEED*:

[0070]

[0071] Where Z represents the current number of consecutive days of rainfall, z represents the z-th day of rainfall, and TIME represents the total rainfall time within Z days. z The total rainfall time on day z, OVER z The actual increase in water level on day z, over z The theoretical water level increase value for day z is obtained by subtracting the water level decrease parameter from the water level rise parameter for day z before day z. The water level rise parameter and the water level decrease parameter can be calculated in the manner described in Example 1.

[0072] The beneficial effects of this embodiment are: by designing and optimizing drainage parameters and using these optimized parameters to calculate the probability index of urban flooding during periods of continuous rainfall, the comprehensiveness of the calculation is improved and the accuracy of urban flooding probability prediction is enhanced.

[0073] The above-disclosed content is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Therefore, all equivalent technical changes made based on the description and drawings of the present invention are included within the scope of protection of the present invention. Furthermore, the elements therein can be updated as technology develops. The above units are merely examples, and those skilled in the art can adopt corresponding units according to actual needs when implementing this solution.

Claims

1. An urban flooding monitoring and emergency response system, characterized in that, The system includes a data acquisition module, a data integration module, a data processing module, and an emergency dispatch module. The data acquisition module is used to collect water level data from various monitoring points. The data integration module is used to integrate the data collected by the data acquisition module and determine whether there is water level data exceeding its corresponding threshold. The data processing module is used to calculate the waterlogging probability index of each monitoring point based on the integrated data and determine whether emergency treatment is needed for the monitoring point based on the waterlogging probability index. The emergency dispatch module is used to generate an emergency plan based on the judgment result of the data integration module and the processing result of the data processing module. The data acquisition module includes an environmental data acquisition unit, a water accumulation point monitoring unit, a river monitoring unit, and a drainage network monitoring unit. The environmental data acquisition unit is used to collect urban rainfall data and predicted future rainfall data. The water accumulation point monitoring unit is used to monitor the water level at each water accumulation point. The river monitoring unit is used to monitor the water level in the river. The drainage network monitoring unit is used to monitor the water level in the manholes. The water accumulation point monitoring unit, river monitoring unit, and drainage network monitoring unit each include the following components: an electronic water level gauge, an automatic camera, an ultrasonic detector, and a signal transmission port. The electronic water level gauge is used to measure the water level, the automatic camera is used to automatically capture images near the monitoring location, the ultrasonic detector is used to detect the number and cross-sectional area of ​​obstacles in the water using ultrasonic waves, and the signal transmission port is used to send the data acquired by the electronic water level gauge, the ultrasonic detector, and the automatic camera to the data integration module.

2. The urban flooding monitoring and emergency response system according to claim 1, characterized in that, The data integration module includes an identification unit, a database, a comparison unit, and a warning signal sending unit. The identification unit is used to identify the data sent by the data acquisition module. The database is used to store the corresponding thresholds of water level data at each monitoring point and the data sent by the data acquisition module. The comparison unit is used to compare the water level data in the data sent by the data acquisition module with the corresponding thresholds stored in the database. The warning signal sending unit is used to send a warning signal to the emergency dispatch module when the water level data is greater than its corresponding threshold.

3. The urban flooding monitoring and emergency response system according to claim 2, characterized in that, The data processing module includes an image recognition unit, a prediction unit, a judgment unit, and an early warning signal sending unit. The image recognition unit is used to identify and analyze the captured images. The prediction unit is used to generate a waterlogging probability index for each monitoring point based on the data collected by the data acquisition module and the recognition results of the image recognition unit. The judgment unit is used to compare the generated waterlogging probability index with the waterlogging probability index threshold and determine whether the city is likely to experience waterlogging based on the comparison results. The early warning signal sending unit is used to send an early warning signal to the emergency dispatch module when the judgment unit determines that the city is likely to experience waterlogging.

4. The urban flooding monitoring and emergency response system according to claim 3, characterized in that, The emergency dispatch module includes an emergency plan storage unit, an emergency plan dispatch unit, an emergency resource management unit, and a user terminal. The emergency plan storage unit is used to store emergency plans for various types of flooding locations. The emergency plan dispatch unit is used to dispatch the corresponding emergency plan from the emergency plan storage unit based on the monitoring points corresponding to the early warning signals and warning signals. The emergency resource management unit is used to statistically manage various emergency resources and send emergency commands to the user terminal based on the early warning signals and warning signals. The user terminal is used to receive emergency commands.

5. The urban flooding monitoring and emergency response system according to claim 4, characterized in that, The system's workflow includes the following steps: S1, The data acquisition module collects water level data from each detection point and sends it to the data integration module; S2, the data integration module determines whether there is water level data exceeding its corresponding threshold. If so, it sends a warning signal to the emergency dispatch module and executes S4; otherwise, it executes S3. S3, the data processing module calculates the waterlogging probability index of each monitoring point based on the data integrated by the data integration module and determines whether the city is likely to experience waterlogging. If so, it sends an early warning signal to the emergency dispatch module and executes S4; otherwise, it ends. S4, the emergency dispatch module generates an emergency plan based on the received signal and sends it to the user terminals of staff in various departments.

6. The urban flooding monitoring and emergency response system according to claim 5, characterized in that, The emergency dispatch module generates an emergency plan by including the following steps: S41, the emergency plan dispatching unit dispatches the corresponding emergency plan from the emergency plan storage unit according to the location of the monitoring point corresponding to the received signal type. S42, the emergency resource management unit generates multiple corresponding emergency commands based on the received signal type, the dispatched emergency plan, and the currently available resources; S43, the emergency resource management unit sends emergency commands to the user terminals of its corresponding work departments based on the currently available resources.

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