Urban road waterlogging monitoring system and method

Abstract

The invention provides an urban road waterlogging monitoring system and method.The urban road waterlogging monitoring system comprises a liquid level monitoring unit, an accumulated water monitoring unit and a waterlogging analysis unit, and the liquid level monitoring unit is used for obtaining liquid level data of a plurality of drainage pipeline liquid level monitoring position points in a monitoring area at all historical moments; the ponding monitoring unit is used for acquiring ponding depth data of a plurality of road ponding monitoring position points in a monitoring area at each historical moment; a waterlogging analysis unit constructs a waterlogging prediction model according to the waterlogging depth data of each road waterlogging monitoring position point at each historical moment and the matching record of the liquid level data of a plurality of drainage pipeline liquid level monitoring position points connected with each waterlogging monitoring position point; and the waterlogging prediction model performs analysis and calculation according to the real-time liquid level data and the liquid level change rate monitored at the liquid level monitoring position point of the drainage pipeline so as to predict the waterlogging state of the monitoring area. The problem that road ponding monitoring is not comprehensive and not timely in the prior art is effectively solved.

Description

Technical Field

[0001] The present invention relates to the technical field of urban waterlogging prediction, and particularly to an urban road waterlogging monitoring system and method. Background Art

[0002] With the acceleration of the urbanization process, the problem of urban waterlogging has become increasingly prominent. Frequent urban waterlogging not only affects urban traffic and residents' lives, but may also damage infrastructure such as power, communication, and network transmission, and even pose a threat to life safety.

[0003] The existing urban waterlogging prediction technologies mainly rely on the combination of meteorological forecasts and empirical formulas, which can effectively achieve the prediction function within a local range. However, due to the simplicity of the system, they can only predict waterlogging under heavy rain weather and cannot achieve the prediction of waterlogging in the entire urban area. Summary of the Invention

[0004] In view of the above-mentioned disadvantages of the prior art, the purpose of the present invention is to provide an urban road waterlogging monitoring system and method, which can effectively solve the problem of incomplete and untimely monitoring of road water accumulation in the current prior art, provide accurate data support and decision-making basis for relevant urban management departments and relevant units, and facilitate timely measures for disposal.

[0005] To achieve the above object and other related objects, one aspect of the present invention provides an urban road waterlogging monitoring system, including a liquid level monitoring unit, a water accumulation monitoring unit, and an waterlogging analysis unit. Among them, the liquid level monitoring unit is used to obtain the liquid level data of several drainage pipe liquid level monitoring position points in the monitoring area at each historical moment, and transmit the liquid level data to the waterlogging analysis unit; the water accumulation monitoring unit is used to obtain the water accumulation depth data of several road water accumulation monitoring position points in the monitoring area at each historical moment, and transmit the water accumulation depth data to the waterlogging analysis unit; the waterlogging analysis unit is used to store the liquid level data and the water accumulation depth data, and construct a waterlogging prediction model according to the matching records of the water accumulation depth data of each road water accumulation monitoring position point in the monitoring area at each historical moment and the liquid level data of multiple drainage pipe liquid level monitoring position points having a connection relationship with each water accumulation monitoring position point; the waterlogging prediction model analyzes and calculates according to the real-time liquid level data monitored by the liquid level monitoring unit at the drainage pipe liquid level monitoring position point and the liquid level change rate of the drainage pipe liquid level monitoring position point to predict the waterlogging state of the monitoring area.

[0006] Further, the liquid level monitoring unit includes a plurality of liquid level monitoring sub-units, and each liquid level monitoring sub-unit monitors the liquid level data of one drainage pipe liquid level monitoring position point at each historical moment.

[0007] Further, the liquid level monitoring sub-unit includes a first sensor, a first data acquisition unit, and a first communication unit. Among them, the first sensor is used to monitor the liquid level at the liquid level monitoring position point of the drainage pipeline; the first data acquisition unit is used to convert the liquid level signal into a digital signal; the first communication unit is used to send the digital signal to the waterlogging analysis unit.

[0008] Further, the waterlogging monitoring unit includes a plurality of waterlogging monitoring sub-units, and each waterlogging monitoring sub-unit monitors the water accumulation depth data of each road waterlogging monitoring position point at each historical moment.

[0009] Further, the waterlogging monitoring sub-unit includes a second sensor, a second data acquisition unit, and a second communication unit. Among them, the second sensor is used to monitor the water accumulation depth at the road waterlogging monitoring position point; the second data acquisition unit is used to convert the water accumulation depth signal into a digital signal; the second communication unit is used to send the digital signal to the waterlogging analysis unit.

[0010] Further, the waterlogging analysis unit includes a data processing module, a data storage module, and a data evaluation module. Among them, the data processing module is used to perform data verification, data cleaning, and data conversion on the received multiple liquid level data and multiple water accumulation depth data to obtain preprocessed operation data; the data storage module is used for long-term data storage, data management, and providing data query and retrieval; the data evaluation module is used to analyze and calculate the preprocessed operation data to construct the waterlogging prediction model.

[0011] Further, the data evaluation module includes a data mining module and a model construction module. Among them, the data mining module is used to mine a plurality of liquid level monitoring position points in the monitoring area that have a connection relationship with each road waterlogging monitoring position point; the model construction module is used to construct the waterlogging prediction model according to the matching records of the water accumulation depth of each road waterlogging monitoring position point in the monitoring area at each historical moment and the liquid level data of a plurality of liquid level monitoring position points that have a connection relationship with each waterlogging monitoring position point at the corresponding historical moment.

[0012] As described above, the urban road waterlogging monitoring system of the present invention has the following beneficial effects: Based on the urban road waterlogging monitoring system of the present invention, the liquid level monitoring unit obtains the liquid level data of several liquid level monitoring position points in the drainage pipes within the monitoring area at each historical moment, and transmits the obtained liquid level data to the waterlogging analysis unit. The ponding monitoring unit obtains the ponding depth data of several road ponding monitoring position points in the monitoring area at each historical moment, and transmits the obtained ponding depth data to the waterlogging analysis unit. The waterlogging analysis unit constructs a waterlogging prediction model according to the ponding depth data of each road ponding monitoring position point at each historical moment and the matching records of the liquid level data of multiple liquid level monitoring position points in the drainage pipes connected to each road ponding monitoring position point. Then, the waterlogging prediction model can analyze and calculate according to the liquid level data and the liquid level change rate at the current moment of the liquid level monitoring position point in the drainage pipe to predict the waterlogging state of the road ponding monitoring position point connected to the corresponding liquid level monitoring position point in the drainage pipe. That is, the waterlogging prediction model can analyze and calculate according to the liquid level data and the liquid level change rate monitored in real time at the liquid level monitoring position point in the drainage pipe to generate early warning information and a ponding situation report, which can provide accurate data support and decision-making basis for relevant urban management departments and relevant units, and promote multi-party collaborative operations to jointly address urban waterlogging problems. Therefore, the urban road waterlogging monitoring system can help to timely detect waterlogging hazards and take measures for disposal, significantly improve the urban flood control and drainage capacity, and effectively solve the problem of incomplete and untimely monitoring of road ponding.

[0013] Another aspect of the present invention provides a method for monitoring urban road waterlogging using the above urban road waterlogging monitoring system. Specifically, the urban road waterlogging monitoring method specifically includes the following steps:

[0014] S1. Collect the liquid level data of several liquid level monitoring position points in the drainage pipes within the monitoring area at each historical moment;

[0015] S2. Collect the ponding depth data of several road ponding monitoring position points in the monitoring area at each historical moment;

[0016] S3. Construct a waterlogging prediction model according to the ponding depth at each historical moment of each road ponding monitoring position point in the monitoring area and the matching records of the liquid level data of multiple liquid level monitoring position points in the drainage pipes connected to each ponding monitoring position point at the corresponding historical moment;

[0017] S4. The waterlogging prediction model analyzes and calculates according to the liquid level data and the liquid level change rate at the current moment of the multiple liquid level monitoring position points in the drainage pipe to predict the waterlogging state of the road ponding monitoring position points matched with the multiple liquid level monitoring position points in the drainage pipe.

[0018] Further, step S3 includes: S31, collecting multiple road waterlogging monitoring position points in the monitoring area where the accumulated water depth is greater than 0 mm; S32, obtaining multiple drainage pipeline liquid level monitoring position points connected to each road waterlogging monitoring position point, thereby forming multiple liquid level monitoring point lists, and further, one road waterlogging position monitoring point corresponds to one liquid level monitoring point list, and each said liquid level monitoring point list includes multiple drainage pipeline liquid level monitoring position points; S33, obtaining the liquid level data of multiple said drainage pipeline liquid level monitoring position points in each said liquid level monitoring point list at each historical moment; S34, constructing an urban waterlogging prediction model based on the matching records of the accumulated water depth of each road waterlogging monitoring position point at each historical moment and the liquid level data of multiple drainage pipeline liquid level monitoring position points in the corresponding liquid level monitoring point list at the corresponding historical moment.

[0019] Further, step S4 includes: S41, obtaining in real time the liquid level data of multiple drainage pipeline liquid level monitoring position points in each said liquid level monitoring point list to obtain the liquid level data of multiple drainage pipeline liquid level monitoring position points at the current moment in each said liquid level monitoring point list; S42, calculating the liquid level change rate of multiple drainage pipeline liquid level monitoring position points at the current moment in each said liquid level monitoring point list according to the liquid level data at the current moment and the liquid level data at the previous moment; S43, the urban waterlogging prediction module performs analysis and calculation according to the liquid level data at the current moment and the liquid level change rate at the current moment of multiple drainage pipeline liquid level monitoring position points in each said liquid level monitoring point list to predict the urban waterlogging state of the road waterlogging monitoring position point connected to each liquid level monitoring point list.

[0020] The beneficial effects of the urban road waterlogging monitoring method of the present invention are the same as those of the above urban road waterlogging monitoring system, so they will not be elaborated here. Description of the Drawings

[0021] Figure 1 It shows a structural block diagram of the urban road waterlogging monitoring system provided by the present invention.

[0022] Figure 2 It shows a structural block diagram of the liquid level monitoring sub-unit provided by the present invention.

[0023] Figure 3 It shows a structural block diagram of the waterlogging monitoring sub-unit provided by the present invention.

[0024] Figure 4 It shows a flowchart of the urban road waterlogging monitoring method provided by the present invention.

[0025] Figure 5It shows the flowchart of step S3 in the urban road waterlogging monitoring method provided by the present invention.

[0026] Figure 6 It shows the flowchart of step S5 in the urban road waterlogging monitoring method provided by the present invention.

[0027] Explanation of reference numerals

[0028] 10 Liquid level monitoring unit

[0029] 20 Water accumulation monitoring unit

[0030] 30 Waterlogging analysis unit

[0031] 101 Liquid level monitoring subunit

[0032] 1011 First sensor

[0033] 1012 First data acquisition unit

[0034] 1013 First communication unit

[0035] 201 Water accumulation monitoring subunit

[0036] 2011 Second sensor

[0037] 2012 Second data acquisition unit

[0038] 2013 Second communication unit

[0039] 31 Data processing module

[0040] 32 Data storage module

[0041] 33 Data evaluation module

[0042] 331 Data mining module

[0043] 332 Model construction module Detailed implementation manners

[0044] The following uses specific specific examples to illustrate the implementation manners of the present invention. Those skilled in the art can easily understand the other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation manners. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention.

[0045] The terms "first" and "second" etc. in the specification and drawings of this application are used to distinguish different objects or different processes for the same object, rather than to describe the specific order of the objects.

[0046] In addition, the terms "including" and "having" and any variations thereof mentioned in the description of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally further include other steps or units not listed, or may optionally further include other steps or units inherent to these processes, methods, products or devices.

[0047] Before discussing the exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts depict the operations (or steps) as sequential processes, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations can be rearranged. The process may be terminated when its operations are completed, but may also have additional steps not included in the drawings. The process may correspond to a method, function, procedure, subroutine, subprogram, etc. In addition, without conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other.

[0048] The first aspect of the present invention provides an urban road waterlogging monitoring system, as Figure 1 shown. The urban road waterlogging monitoring system includes a liquid level monitoring unit 10, a water accumulation monitoring unit 20 and a waterlogging analysis unit 30. Among them, the liquid level monitoring unit 10 is used to obtain the liquid level data of several liquid level monitoring position points in the drainage pipes in the monitoring area at each historical moment, and transmit the liquid level data to the waterlogging analysis unit 30; the water accumulation monitoring unit 20 is used to obtain the water accumulation depth data of several road water accumulation monitoring position points in the monitoring area at each historical moment, and transmit the water accumulation depth data to the waterlogging analysis unit 30; the waterlogging analysis unit 30 is used to store the liquid level data and the water accumulation depth data, and construct a waterlogging prediction model according to the matching records of the water accumulation depth data of each road water accumulation monitoring position point in the monitoring area at each historical moment and the liquid level data of multiple liquid level monitoring position points of the drainage pipes connected to each water accumulation monitoring position point; the waterlogging prediction model analyzes and calculates according to the real-time liquid level data monitored by the liquid level monitoring unit at the liquid level monitoring position point of the drainage pipe and the liquid level change rate of the liquid level monitoring position point of the drainage pipe, so as to predict the waterlogging state of the monitoring area.

[0049] Thus, based on the urban road waterlogging monitoring system of the present invention, the liquid level monitoring unit 10 obtains the liquid level data of several liquid level monitoring position points of drainage pipes in the monitoring area at each historical moment, and transmits the obtained liquid level data to the waterlogging analysis unit 30. The waterlogging monitoring unit 20 obtains the water accumulation depth data of several road water accumulation monitoring position points in the monitoring area at each historical moment, and transmits the obtained water accumulation depth data to the waterlogging analysis unit 30. The waterlogging analysis unit constructs a waterlogging prediction model according to the water accumulation depth data of each road water accumulation monitoring position point at each historical moment and the matching records of the liquid level data of multiple liquid level monitoring position points of drainage pipes connected to each road water accumulation monitoring position point. Then, the waterlogging prediction model can perform analysis and calculation based on the liquid level data and the liquid level change rate at the current moment of the liquid level monitoring position point of the drainage pipe, so as to predict the waterlogging state of the road water accumulation monitoring position point connected to the corresponding liquid level monitoring position point of the drainage pipe. That is, the waterlogging prediction model can perform analysis and calculation based on the liquid level data and the liquid level change rate monitored in real time at the liquid level monitoring position point of the drainage pipe to generate early warning information and a water accumulation situation report, which can provide accurate data support and decision-making basis for relevant urban management departments and relevant units, and promote multi-party cooperation to jointly address urban waterlogging problems. Thus, the urban road waterlogging monitoring system can help to timely discover waterlogging hidden dangers and take measures for disposal, significantly improve the urban flood control and drainage capacity, and effectively solve the problem of incomplete and untimely monitoring of road water accumulation.

[0050] Further, in this embodiment, the liquid level monitoring unit 10 includes a plurality of liquid level monitoring sub-units 101, and each liquid level monitoring sub-unit 101 monitors the liquid level data of a liquid level monitoring position point of a drainage pipe at each historical moment.

[0051] Further, in order to improve the waterlogging prediction ability of the urban road waterlogging monitoring system, when selecting the liquid level monitoring position points of the drainage pipes, information such as the topological relationship and design flow direction of the drainage pipe network in the monitoring area can be obtained first, that is, the connection relationship of multiple drainage pipes included in the drainage pipe network in the monitoring area and the drainage flow direction of each drainage pipe are obtained, and then the positions of several key nodes of the drainage pipes (that is, the positions of the connections of multiple drainage pipes, that is, the positions of manholes on urban roads) are selected as the liquid level monitoring position points of the drainage pipes.

[0052] Specifically, such as Figure 2As shown, in this embodiment, each liquid level monitoring subunit 101 includes a first sensor 1011, a first data acquisition unit 1012, and a first communication unit 1013. Among them, the first sensor 1011 is used to monitor the liquid level at the liquid level monitoring position point of the drainage pipeline. The first data acquisition unit 1012 is used to convert the liquid level signal into a digital signal. The first communication unit 1013 is used to send the digital signal to the waterlogging analysis unit 30. Specifically, in one embodiment, the first sensor 1011 may be a static pressure type liquid level sensor. The detection principle of this static pressure type liquid level sensor is based on the principle that the static pressure of the liquid is proportional to the liquid level height. The probe of the sensor is placed in the liquid, and the pressure generated by the liquid on the probe is transmitted through the pressure guiding tube to the pressure sensitive element. The pressure sensitive element converts the pressure signal into an electrical signal, and after processing, outputs a voltage or current signal corresponding to the liquid level height. In one embodiment, the first sensor 1011 may also be a capacitive liquid level sensor. Using the capacitance principle, it consists of two electrodes to form a capacitor. When the liquid level changes, the dielectric constant between the two electrodes changes, resulting in a change in the capacitance value. The sensor measures the liquid level height by detecting the change in the capacitance value. In one embodiment, the first sensor 1011 may also be an ultrasonic liquid level sensor. During detection, the ultrasonic sensor emits ultrasonic pulses. The ultrasonic waves propagate in the air to the liquid surface and then reflect back, being received by the sensor. According to the time interval from the emission to the reception of the ultrasonic waves and the propagation speed of the ultrasonic waves in the air, the distance from the sensor to the liquid surface is calculated, and then the liquid level height is obtained. In one embodiment, the first sensor 1011 may also be a float type liquid level sensor. Utilizing the characteristic that the float moves up and down with the liquid level, the float is connected to a micro switch or a potentiometer and other mechanisms through a connecting rod. When the liquid level changes, the float drives the connecting rod to move, causing the micro switch to close or open, or changing the resistance value of the potentiometer, thereby outputting a liquid level signal. In one embodiment, the first sensor 1011 may also be a radar liquid level sensor. The radar liquid level sensor emits microwave signals, and these microwave signals are reflected back after encountering the liquid surface and are received by the sensor. The sensor calculates the liquid level height based on the time difference between the emission and reception of the microwave signals.

[0053] Optionally, in some other embodiments, the liquid level monitoring subunit 101 may also be an automatic liquid level monitor. Further, in this embodiment, the water accumulation monitoring unit 20 includes a plurality of water accumulation monitoring subunits 201, and each water accumulation monitoring subunit 201 monitors the water accumulation depth data at a road water accumulation monitoring position point at each historical moment.

[0054] Further, in order to improve the waterlogging prediction ability of this urban road waterlogging monitoring system, when selecting the road water accumulation monitoring position points, several key drainage nodes and historical waterlogging positions of urban roads within the monitoring area can be selected as the road water accumulation monitoring position points.

[0055] Specifically, as Figure 3 shown, in this embodiment, each water accumulation monitoring subunit 201 includes a second sensor 2011, a second data acquisition unit 2012, and a second communication unit 2013. Among them, the second sensor 2011 is used to monitor the water accumulation depth at the water accumulation monitoring position point of the road, the second data acquisition unit 2012 is used to convert the water accumulation depth signal into a digital signal, and the second communication unit 2013 is used to send the digital signal to the waterlogging analysis unit 30. Specifically, in one embodiment, the structure of the second sensor 2011 is the same as that of the first sensor 1011 described above, that is, the second sensor can be a static pressure type liquid level sensor, a capacitive liquid level sensor, an ultrasonic liquid level sensor, a float type liquid level sensor, or a radar liquid level sensor, which will not be elaborated in detail here. Of course, optionally, in some other embodiments, the water accumulation monitoring subunit 201 can also be an automated water level monitoring station integrating a water level sensor and a data transmission function, or a mobile monitoring station for manually uploading data.

[0056] Furthermore, as Figure 1 shown, in this embodiment, the waterlogging analysis unit 30 includes a data processing module 31, a data storage module 32, and a data evaluation module 33. Among them, the data processing module 31 is used to perform data verification, data cleaning, and data conversion on the received multiple liquid level data and multiple water accumulation data, so as to obtain the preprocessed operation data; specifically, the data processing module 31 performs data verification on the received multiple liquid level data and multiple water accumulation data specifically as: checking the integrity and accuracy of the data, such as checking whether there are missing values in the data and whether there are outliers, etc.; the data processing module 31 performs data cleaning on the received multiple liquid level data and multiple water accumulation data specifically as: removing duplicate data, correcting error data, and smoothing the noise in the data, etc. (for example, removing obvious error data caused by equipment failures); the data processing module 31 performs data conversion on the received multiple liquid level data and multiple water accumulation data specifically as: performing operations such as format conversion and encoding conversion on the data according to the needs of subsequent analysis, such as uniformly converting the date format into a specific standard format and encoding the categorical data; the data storage module 32 is used to long-term store, manage the preprocessed operation data, and provide data query and retrieval; the data evaluation module 33 is used to analyze and calculate the preprocessed operation data to construct the waterlogging prediction model. The waterlogging analysis unit 30 first performs denoising on the received liquid level data and water accumulation data through the data processing module 31, that is, performs data verification and data cleaning, so as to improve the accuracy of constructing the waterlogging prediction model, and further improve the prediction ability and prediction accuracy of the urban road waterlogging monitoring system.

[0057] Specifically, in this embodiment, the data storage module 32 includes a storage medium, a storage server, storage management software, and a database management system. During operation, the data storage module 32 can also classify and integrate the received monitoring data (liquid level data and water accumulation depth data), that is, organize it according to different monitoring items, data types, time series, etc., to make it have good structural and systematic properties, thus facilitating subsequent management and use. Further, the data storage module 32 can also cooperate with the data processing module 31 to regularly clean and maintain the stored data, remove duplicate, incorrect, or invalid data, update and supplement new data, ensure the quality and timeliness of the data, and regularly back up the data to provide data query and retrieval functions.

[0058] Further, as Figure 1 shown, in this embodiment, the data evaluation module 33 includes a data mining module 331 and a model construction module 332. Specifically, the data mining module 331 is used to mine multiple drainage pipeline liquid level monitoring location points in the monitoring area that have a connection relationship with each road water accumulation monitoring location point; the model construction module 332 is used to construct the waterlogging prediction model according to the matching records of the water accumulation depth at each road water accumulation monitoring location point in the monitoring area at each historical moment and the liquid level data at the corresponding historical moment of multiple drainage pipeline liquid level monitoring location points that have a connection relationship with each water accumulation monitoring location point.

[0059] As shown in FIG. 4, a second aspect of the present invention provides a method for monitoring urban road waterlogging using the above urban road waterlogging monitoring system. Specifically, the urban road waterlogging monitoring method specifically includes the following steps:

[0060] S1. Collect the liquid level data of several drainage pipeline liquid level monitoring location points in the monitoring area at each historical moment;

[0061] Specifically, before this step S1, it also includes first selecting the drainage pipeline liquid level monitoring location points. When selecting the drainage pipeline liquid level monitoring location points, information such as the topological relationship and design flow direction of the drainage pipe network in the monitoring area can be obtained first, that is, the connection relationship of multiple drainage pipelines included in the drainage pipe network in the monitoring area and the drainage flow direction of each drainage pipeline are obtained, and then the positions of several key nodes of the drainage pipeline (that is, the positions where multiple drainage pipelines are connected, that is, the positions where inspection wells are provided on urban roads) are selected as the drainage pipeline liquid level monitoring location points.

[0062] S2. Collect the water accumulation depth data of several road water accumulation monitoring location points in the monitoring area at each historical moment;

[0063] Specifically, before this step S2, it also includes first selecting the road waterlogging monitoring position points. When selecting the road waterlogging monitoring position points, several key drainage nodes and historical waterlogging positions of urban roads within the monitoring area can be selected as the road waterlogging monitoring position points of urban roads.

[0064] S3. Construct an inner flood prediction model based on the matching records of the waterlogging depth at each road waterlogging monitoring position point in the monitoring area at each historical moment and the liquid level data at the corresponding historical moment of multiple drainage pipeline liquid level monitoring position points connected to each waterlogging monitoring position point.

[0065] Further, as Figure 5 shown, in this embodiment, this step S3 specifically includes the following steps:

[0066] S31. Collect multiple road waterlogging monitoring position points in the monitoring area where the waterlogging depth is greater than 0 mm.

[0067] S32. Obtain multiple drainage pipeline liquid level monitoring position points connected to each road waterlogging monitoring position point, thereby forming multiple liquid level monitoring point lists. Furthermore, one road waterlogging position monitoring point corresponds to one liquid level monitoring point list, and each said liquid level monitoring point list includes multiple said drainage pipeline liquid level monitoring position points.

[0068] S33. Obtain the liquid level data of multiple said drainage pipeline liquid level monitoring position points in each said liquid level monitoring point list at each historical moment.

[0069] S34. Construct an inner flood prediction model based on the matching records of the waterlogging depth at each road waterlogging monitoring position point at each historical moment and the liquid level data at the corresponding historical moment of multiple drainage pipeline liquid level monitoring position points in the liquid level monitoring point list connected to it.

[0070] S4. The inner flood prediction model analyzes and calculates based on the current moment's liquid level data and the current moment's liquid level change rate of multiple said drainage pipeline liquid level monitoring position points to predict the inner flood state of the road waterlogging monitoring position points matched with multiple said drainage pipeline liquid level monitoring position points.

[0071] Further, as Figure 6 shown, in this embodiment, this step 4 specifically includes the following steps:

[0072] S41. Real-time obtain the liquid level data of multiple drainage pipeline liquid level monitoring position points in each said liquid level monitoring point list to obtain the current moment's liquid level data of multiple said drainage pipeline liquid level monitoring position points in each said liquid level monitoring point list.

[0073] S42. Calculate the current liquid level change rate of multiple drainage pipeline liquid level monitoring position points in each of the liquid level monitoring point lists based on the liquid level data at the current moment and the liquid level data at the previous moment.

[0074] S43. The waterlogging prediction module performs analysis and calculation based on the current liquid level data and the current liquid level change rate of multiple drainage pipeline liquid level monitoring position points in each of the liquid level monitoring point lists to predict the waterlogging status of the road water accumulation monitoring position points connected to each liquid level monitoring point list.

[0075] As described above, based on the urban road waterlogging monitoring method, the waterlogging of the water accumulation monitoring position points in the monitoring area is predicted. If the waterlogging prediction model predicts that the water accumulation depth at a certain water accumulation monitoring position point will exceed the safety threshold, the system should issue a warning. The warning method can be sending an email or a text message, or displaying a warning on the display screen of the control center. For the warning, a pre - formulated response plan and follow - up actions are required. For example, if the warning indicates that a certain section of the road, that is, a certain water accumulation monitoring position point, may have serious water accumulation, then it may be necessary to adjust the traffic route to avoid the water - logged section.

[0076] In summary, the urban road waterlogging monitoring system and method of the present invention can help to timely detect waterlogging hazards and take measures for disposal, significantly improve the urban flood control and drainage capacity, and effectively solve the problem of incomplete and untimely monitoring of road water accumulation. Therefore, the present invention effectively overcomes various shortcomings in the prior art and has high industrial utilization value.

[0077] The above embodiments are only illustrative of the principles and effects of the present invention, and are not used to limit the present invention. Any person familiar with this technology can modify or change the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or changes made by those with ordinary knowledge in the technical field without departing from the spirit and technical idea disclosed by the present invention should still be covered by the claims of the present invention.

Claims

1. A city road waterlogging monitoring system, characterized in that: include: Liquid level monitoring unit, water accumulation monitoring unit and waterlogging analysis unit, among which, The liquid level monitoring unit is used to obtain liquid level data of a plurality of drainage pipe liquid level monitoring locations within the monitoring area at various historical moments, and transmit the liquid level data to the waterlogging analysis unit; The waterlogging monitoring unit is used to obtain waterlogging depth data of a plurality of road waterlogging monitoring locations within the monitoring area at various historical moments, and transmit the waterlogging depth data to the waterlogging analysis unit; The waterlogging analysis unit is used to store the liquid level data and the water accumulation depth data, and to construct a waterlogging prediction model based on the water accumulation depth data of each road water accumulation monitoring point in the monitoring area at each historical moment and the matching records of the liquid level data of multiple drainage pipe liquid level monitoring points that are connected to each water accumulation monitoring point; The waterlogging prediction model performs analysis and calculation based on the real-time liquid level data monitored by the liquid level monitoring unit at the drainage pipe liquid level monitoring point and the liquid level change rate at the drainage pipe liquid level monitoring point to predict the waterlogging status of the monitoring area.

2. The urban road waterlogging monitoring system according to claim 1, characterized in that: The liquid level monitoring unit includes a plurality of liquid level monitoring sub-units, each of which monitors the liquid level data of a liquid level monitoring point of the drainage pipeline at each historical moment.

3. The urban road waterlogging monitoring system according to claim 2, characterized in that: The liquid level monitoring subunit includes a first sensor, a first data acquisition unit and a first communication unit, wherein the first sensor is used to monitor the liquid level at the drainage pipe liquid level monitoring position; the first data acquisition unit is used to convert the liquid level signal into a digital signal; and the first communication unit is used to send the digital signal to the waterlogging analysis unit.

4. The urban road waterlogging monitoring system according to claim 1, characterized in that: The water accumulation monitoring unit includes a plurality of water accumulation monitoring sub-units, each of which monitors the water accumulation depth data of a road water accumulation monitoring location point at each historical moment.

5. The urban road waterlogging monitoring system according to claim 4, characterized in that: The waterlogging monitoring subunit includes a second sensor, a second data acquisition unit and a second communication unit, wherein the second sensor is used to monitor the water depth at the road waterlogging monitoring location; the second data acquisition unit is used to convert the water depth signal into a digital signal; and the second communication unit is used to send the digital signal to the waterlogging analysis unit.

6. The urban road waterlogging monitoring system according to claim 1, characterized in that: The waterlogging analysis unit includes a data processing module, a data storage module and a data evaluation module, wherein the data processing module is used to perform data verification, data cleaning and data conversion on the received multiple liquid level data and multiple water accumulation depth data to obtain pre-processed operation data; the data storage module is used to perform long-term storage, data management and provide data query and retrieval for the pre-processed operation data; the data evaluation module is used to analyze and calculate the pre-processed operation data to construct the waterlogging prediction model.

7. The urban road waterlogging monitoring system according to claim 6, characterized in that: The data evaluation module includes a data mining module and a model building module, wherein the data mining module is used to mine multiple drainage pipe liquid level monitoring position points in the monitoring area that are connected to each road waterlogging monitoring position point; The model building module is used to build the waterlogging prediction model based on the water depth of each road waterlogging monitoring point in the monitoring area at each historical moment and the matching records of the liquid level data of multiple drainage pipe liquid level monitoring points that are connected to each waterlogging monitoring point at the corresponding historical moments.

8. A method for monitoring urban road waterlogging using the urban road waterlogging monitoring system according to any one of claims 1 to 7, characterized in that: The urban road waterlogging monitoring method specifically comprises the following steps: S1. Collect the liquid level data of several drainage pipe liquid level monitoring points in the monitoring area at various historical moments; S2, collecting water depth data of several road waterlogging monitoring points in the monitoring area at various historical moments; S3, constructing a waterlogging prediction model based on the water depth of each road waterlogging monitoring point in the monitoring area at each historical moment and the matching records of the liquid level data of multiple drainage pipe liquid level monitoring points connected to each waterlogging monitoring point at the corresponding historical moment; S4. The waterlogging prediction model analyzes and calculates the liquid level data of the multiple drainage pipe liquid level monitoring points at the current moment and the liquid level change rate at the current moment to predict the waterlogging status of the road waterlogging monitoring points that match the multiple drainage pipe liquid level monitoring points.

9. A method for monitoring urban road waterlogging according to claim 8, characterized in that: The step S3 comprises: S31, collecting multiple road waterlogging monitoring location points where the waterlogging depth is greater than 0 mm in the monitoring area; S32, obtaining multiple drainage pipe liquid level monitoring position points connected to each road waterlogging monitoring position point, thereby forming multiple liquid level monitoring point lists, and then one road waterlogging position monitoring point corresponds to one liquid level monitoring point list, each of the liquid level monitoring point lists includes multiple drainage pipe liquid level monitoring position points; S33, obtaining the liquid level data of the plurality of drainage pipe liquid level monitoring location points in each of the liquid level monitoring point lists at various historical moments; S34. Construct a waterlogging prediction model based on the water depth of each road waterlogging monitoring point at each historical moment and the matching records of the liquid level data of multiple drainage pipe liquid level monitoring points in the liquid level monitoring point list that are connected to it at the corresponding historical moments.

10. The urban road waterlogging monitoring method according to claim 8, characterized in that: The step S4 comprises: S41, acquiring the liquid level data of each of the plurality of drainage pipe liquid level monitoring position points in the liquid level monitoring point list in real time, so as to obtain the liquid level data of each of the plurality of drainage pipe liquid level monitoring position points in the liquid level monitoring point list at the current moment; S42, calculating the liquid level change rate at the current moment of each of the plurality of drainage pipe liquid level monitoring position points in the liquid level monitoring point list according to the liquid level data at the current moment and the liquid level data at the previous moment; S43, the waterlogging prediction module analyzes and calculates the current liquid level data of multiple drainage pipe liquid level monitoring points in each of the liquid level monitoring point lists and the liquid level change rate at the current moment, so as to predict the waterlogging status of the road waterlogging monitoring points that are connected to each of the liquid level monitoring point lists.

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