Sponge city data management system based on big data and Internet

Abstract

The invention discloses a sponge city data management system based on big data and the Internet, and relates to the technical field of big data. A sponge city digital image generation module acquires sponge city structure data, and performs digital modeling on a sponge city according to the sponge city structure data to generate a sponge city digital image; deploying data acquisition nodes in the sponge city digital image, and acquiring basic penetration data corresponding to the data acquisition nodes in real time; sending the basic penetration data to a data management library, classifying the basic penetration data, obtaining corresponding sub-data management layers, and arranging the sub-data management layers to obtain a data management layer; processing the sponge city data of each sub-data management layer to obtain a corresponding permeation abnormal value, and obtaining a waterlogging grade value corresponding to the sponge body area according to each permeation abnormal value; performing early warning on each data management layer according to the waterlogging grade value; and the timeliness of the sponge city data is effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of big data, and specifically to a sponge city data management system based on big data and the Internet. Background Art

[0002] A sponge city is a new generation of urban rain and flood management concept, which means that a city can be like a sponge and has good elasticity in adapting to environmental changes and coping with natural disasters brought by rainwater. It can also be called a "water elastic city". The substantial application of "sponge city" materials shows excellent characteristics such as water permeability, compressive resistance, wear resistance, anti-slip, environmental protection, beauty, colorfulness, comfort, easy maintenance, sound absorption and noise reduction, etc., becoming a "breathing" urban landscape road surface, and effectively alleviating the urban heat island effect, making the urban road surface no longer heat up.

[0003] Due to the variability and importance of sponge city data, it is necessary to monitor and manage sponge city data. However, due to the diversity of data related to sponge cities, the coverage of sponge city data collection points is insufficient, resulting in incomplete sponge city data collection. Further, a large amount of sponge city data cannot be timely warned during the management process. Therefore, to solve the above problems, the present invention provides a sponge city data management system based on big data and the Internet. Summary of the Invention

[0004] To solve the above technical problems, the present invention provides a sponge city data management system based on big data and the Internet; The object of the present invention can be achieved by the following technical solutions: A sponge city data management system based on big data and the Internet includes a data management library, and the data management library is connected to a sponge city digital image generation module, a sponge city data collection module, a sponge city data processing module, and a data monitoring module; The sponge city digital image generation module is used to collect sponge city structure data and digitally model the sponge city according to the sponge city structure data to generate a sponge city digital image; The sponge city data collection module is used to deploy data collection nodes in the sponge city digital image and collect the corresponding basic infiltration data of the data collection nodes in real time, and then send it to the data management library; The data management library is used to classify each basic infiltration data and obtain the corresponding sub-data management layer, and arrange each sub-data management layer to obtain the data management layer; The sponge city data processing module processes the sponge city data of each sub-data management layer to obtain the corresponding infiltration anomaly value, and obtains the waterlogging level value corresponding to the sponge body area according to each infiltration anomaly value; The data monitoring module is used to warn each data management layer according to the waterlogging level value.

[0005] Furthermore, the process of the sponge city digital image generation module generating the sponge city digital image includes: Set the maximum penetration distance of rainwater in the sponge city, and set several target points in the sponge city. Taking the maximum penetration distance as the side length and the target points as the center points, obtain the corresponding square ground areas of each target point and mark them as sponge body areas; label different sponge body areas in the sponge city with different colors, obtain the corresponding geospatial data of each sponge body area through GIS, and obtain the corresponding remote sensing data of each sponge body area through remote sensing technology. Then, combine the geospatial data and remote sensing data of each sponge body area through a three-dimensional space model to generate a digital image of the sponge city.

[0006] Furthermore, the process of combining the geospatial data and remote sensing data of each sponge body area through a three-dimensional space model includes: Construct a three-dimensional space model according to the geospatial data corresponding to each sponge body in the sponge body area, transmit the remote sensing data corresponding to each sponge body to the geospatial data corresponding to the three-dimensional space model and display it in real time, and then generate a digital image of the sponge city.

[0007] Furthermore, the process of deploying data collection nodes in the sponge city data includes: Set corresponding sensors at all sponge body positions in the sponge body area, and set an automatic switch end and a planned collection period on the sensors; set the threshold range of remote sensing data for the corresponding sponge body type of the sponge body, and according to the sponge city digital image, obtain all the remote sensing data in the sponge body area where there is no sponge body corresponding to the remote sensing data threshold, mark the corresponding sponge body position as the first collection node, and generate a first collection node signal. Otherwise, mark the sponge body position as the second collection node and generate a second collection node signal; send the first collection node signal and the second collection node signal to the corresponding sensors at the same time.

[0008] Furthermore, the process of real-time collecting the basic penetration data corresponding to the data collection node includes: If the first collection node signal is received, the sensor automatically turns on according to the automatic switch end to collect the basic penetration data corresponding to the first collection node in real time; if the second collection node signal is received, the sensor automatically turns on the corresponding automatic switch end according to the planned collection period to collect the basic penetration data corresponding to the second collection node; and transmit the hydrological data to the corresponding sponge body position on the sponge city digital image for real-time display.

[0009] Furthermore, the process of the data management library obtaining the sub-data management layer includes: Obtain the collection time corresponding to the basic infiltration data, and associate the basic infiltration data corresponding to each cavernous body in the cavernous body area with the corresponding remote sensing data according to the collection time to generate a cavernous body data set; merge the cavernous body data sets corresponding to the same cavernous body type to generate a cavernous body data set library, and arrange the cavernous body data sets corresponding to the sponge data set library in descending order according to the difference between the corresponding remote sensing data and the remote sensing data threshold range, and juxtapose the cavernous body data sets with the same difference size. Obtain the climate data corresponding to the rainy day state, where the climate data includes rainfall intensity and rainfall duration; obtain the basic rainwater data according to the climate data, and the basic rainwater data includes rainfall volume and water quality parameters; associate the climate data with the basic rainwater data and map it to the corresponding cavernous body data set library to obtain the sub-data management layer corresponding to the rainy day state.

[0010] Further, the process of obtaining the data management layer includes: Arrange the sub-data management layer in the order of the first collection node and the second collection node to obtain the data management layer corresponding to the rainy day state.

[0011] Further, the process by which the sponge city data processing module obtains the corresponding infiltration anomaly value includes: Dispatch the basic rainwater data of each cavernous body data set in the sub-data management layer, obtain the basic rainwater condition group corresponding to each cavernous body data set according to the corresponding basic rainwater data, dispatch the basic infiltration data corresponding to each cavernous body data set in the basic rainwater data condition group, and obtain the average basic infiltration value of each cavernous body according to the collection time in each basic rainwater data condition, and then obtain the maximum average basic infiltration value and the minimum average basic infiltration value in the basic rainwater data condition, and then obtain the basic infiltration value range corresponding to the cavernous body, denoted as , where L represents the position of the cavernous body corresponding to the cavernous body, represents the maximum average basic infiltration value, represents the minimum average basic infiltration value; and associate it with the corresponding cavernous body data set.

[0012] Further, the process of obtaining the waterlogging level value corresponding to the cavernous body area includes: Mark the basic infiltration data less than the basic infiltration value range threshold as an abnormal infiltration value, then obtain the number of abnormal infiltration values corresponding to the cavernous body area, and obtain the ratio to the number of all cavernous bodies in the cavernous body area, and mark it as the abnormal infiltration ratio; otherwise, do not perform any processing; When the abnormal infiltration ratio is less than or equal to 30%, mark the waterlogging level value of the corresponding cavernous body area as the first-level. When the abnormal infiltration ratio is greater than 30% and less than 80%, the waterlogging level value of the corresponding sponge body area is marked as the secondary level; When the abnormal infiltration ratio is greater than or equal to 80%, the waterlogging level value of the corresponding sponge body area is marked as the tertiary level; Associate the abnormal infiltration ratio with the corresponding sponge body data set, and associate the waterlogging level value with the corresponding data management layer; rearrange the sponge body data sets corresponding to each sub - data management layer in ascending order according to the basic infiltration value range, and rearrange each data management layer in descending order according to the waterlogging level value.

[0013] Further, the process of the data monitoring module warning each data management layer according to the waterlogging level value includes: Based on the digital image of the sponge city, convert the color of the sponge body area corresponding to different levels of waterlogging level values into the corresponding warning colors, and send them to the preset management terminal for warning; The relevant administrators corresponding to the management terminal trim the geospatial data of the sponge body corresponding to the abnormal infiltration value according to the corresponding warning colors and update the remote sensing data corresponding to the sponge body in real - time.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: The sponge city structure data is collected through the sponge city digital image generation module, and the sponge city is digitally modeled according to the sponge city structure data to generate the sponge city digital image; data collection nodes are deployed in the sponge city digital image, and the corresponding basic infiltration data of the data collection nodes is collected in real - time; it is sent to the data management library, each basic infiltration data is classified to obtain the corresponding sub - data management layer, and each sub - data management layer is arranged to obtain the data management layer; and the sponge city data of each sub - data management layer is processed to obtain the corresponding infiltration abnormal value, and the waterlogging level value corresponding to the sponge body area is obtained according to each infiltration abnormal value; warnings are given to each data management layer according to the waterlogging level value; effectively improving the timeliness of sponge city data. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.

[0016] Figure 1 It is the schematic diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0018] As Figure 1 shown, a sponge city data management system based on big data and the Internet includes a data management library, and the data management library is connected to a sponge city digital image generation module, a sponge city data collection module, a sponge city data processing module, and a data monitoring module; The sponge city digital image generation module is used to collect sponge city structure data and digitally model the sponge city according to the sponge city structure data to generate a sponge city digital image; The sponge city data collection module is used to deploy data collection nodes in the sponge city digital image, and collect the corresponding basic infiltration data of the data collection nodes in real time, and then send it to the data management library; The data management library is used to classify each basic infiltration data and obtain the corresponding sub-data management layer, and arrange each sub-data management layer to obtain the data management layer; The sponge city data processing module processes the sponge city data of each sub-data management layer to obtain the corresponding infiltration anomaly value, obtains the waterlogging level value corresponding to the sponge body area according to each infiltration anomaly value, and sends it to the data management library for data management; The data monitoring module is used to give early warnings to each data management layer according to the waterlogging level value; It should be further noted that in the specific implementation process, the process of the sponge city digital image generation module collecting sponge city structure data and digitally modeling the sponge city according to the sponge city structure data to generate a sponge city digital image includes: In a sunny state, set the farthest penetration distance of rainwater in the sponge city, and set several target points in the sponge city. Take the farthest penetration distance as the side length and the target points as the center points to obtain the corresponding square ground areas of each target point, and mark them as sponge body areas; divide the sponge city into several sponge body areas, mark different sponge body areas with different colors, obtain the corresponding geographical space data of each sponge body area through GIS, and obtain the corresponding remote sensing data of each sponge body area through remote sensing technology, and then combine the geographical space data and remote sensing data of each sponge body area through a three-dimensional space model to generate a sponge city digital image.

[0019] Further, the setting of the farthest penetration distance is in an ideal sponge city environment, such as sandy soil, flat terrain, dense vegetation, and relatively low groundwater level; the sponge city structure data includes geospatial data and remote sensing data; In the above embodiments, it should be further noted that the process of combining the geospatial data and remote sensing data of each sponge body area through a three-dimensional space model includes: Construct a three-dimensional space model based on the geospatial data corresponding to each sponge body in the sponge body area, and transmit the remote sensing data corresponding to each sponge body to the geospatial data corresponding to the three-dimensional space model and display it in real time, thereby generating a digital image of the sponge city.

[0020] The geospatial data includes the location, shape, and type of the sponge body; the remote sensing data includes vegetation coverage, terrain slope, soil type, and groundwater level.

[0021] Further, the sponge body includes not only water systems such as rivers, lakes, and ponds, but also green plants, soil, permeable ground, etc.; for example, if the sponge body is green plants, the corresponding remote sensing data is vegetation coverage; if it is permeable ground, the corresponding remote sensing data is terrain slope; It should be further noted that in the specific implementation process, the process of the sponge city data acquisition module deploying data acquisition nodes in the sponge city digital image and collecting the basic penetration data corresponding to the data acquisition nodes in real time includes: Set corresponding sensors at all sponge body positions in the sponge body area, and set an automatic switch end and a planned acquisition cycle at the sensors; set the threshold range of the remote sensing data corresponding to the type of the sponge body, and obtain all the remote sensing data in the sponge body area from the sponge city digital image. For the sponge body that does not correspond to the remote sensing data threshold, mark the corresponding sponge body position as the first acquisition node and generate a first acquisition node signal. Otherwise, mark the sponge body position as the second acquisition node and generate a second acquisition node signal; send the first acquisition node signal and the second acquisition node signal to the corresponding sensors at the same time; In the rainy state, if the first acquisition node signal is received, the sensor automatically turns on according to the automatic switch end to collect the basic penetration data corresponding to the first acquisition node in real time; if the second acquisition node signal is received, the sensor automatically turns on the corresponding automatic switch end according to the planned acquisition cycle to collect the basic penetration data corresponding to the second acquisition node; and transmit the hydrological data to the corresponding sponge body position on the sponge city digital image for real-time display; The basic penetration data includes water level height, water flow velocity, and soil content.

[0022] In the above embodiments, it should be further noted that the sensors include, but are not limited to, rain sensors, water level sensors, water quality sensors, flow sensors, soil moisture sensors, etc. It should be further noted that each sensor is set at a different position and is set to collect corresponding basic infiltration data, and there is one and only one, that is, the sensors set at each collection node can collect only one type of basic infiltration data.

[0023] It should be further noted that in the specific implementation process, the process of the data management library classifying each basic infiltration data and obtaining the corresponding sub-data management layer, and arranging each sub-data management layer to obtain the data management layer includes: Obtain the collection time corresponding to the basic infiltration data, perform data association on the basic infiltration data corresponding to each sponge body in the sponge body area and the corresponding remote sensing data according to the collection time to generate a sponge body data set; merge the sponge body data sets corresponding to the same sponge body type to generate a sponge body data set library, arrange the sponge body data sets corresponding to the sponge data set library in descending order according to the difference between the corresponding remote sensing data and the remote sensing data threshold range, and juxtapose the sponge body data sets with the same difference size; Obtain the climate data corresponding to the rainy day state, and the climate data includes rainfall intensity and rainfall duration; obtain the basic rainwater data according to the climate data, and the basic rainwater data includes rainfall amount and water quality parameters; perform association between the climate data and the basic rainwater data and then map it to the corresponding sponge body data set library to obtain the sub-data management layer corresponding to the rainy day state; Arrange the sub-data management layers in the order of the first collection node and the second collection node to obtain the data management layer corresponding to the rainy day state.

[0024] It should be further noted that in the specific implementation process, the process of the sponge city data processing module processing each sub-data management layer to obtain the corresponding infiltration anomaly value, obtaining the corresponding waterlogging level value of the sponge body area according to each infiltration anomaly value, and sending it to the data management library for data management includes: Schedule the basic rainwater data of each sponge data set in the sub-data management layer, and obtain the corresponding basic rainwater condition group of each sponge data set according to the corresponding basic rainwater data. The basic rainwater data condition group includes (Ymax, Smax), (Ymax, Smin), (Ymin, Smax), and (Ymin, Smin), where Ymax, Smax, Ymin, and Smin represent the maximum rainfall, maximum water quality parameter, minimum rainfall, and minimum water quality parameter respectively; schedule the basic infiltration data corresponding to each sponge data set in the basic rainwater data condition group, and obtain the average basic infiltration value corresponding to each basic rainwater data according to the collection time of the sponge, and then obtain the maximum average basic infiltration value and the minimum average basic infiltration value in the basic rainwater data condition, and then obtain the corresponding basic infiltration value range of the sponge, denoted as , where L represents the sponge position corresponding to the sponge represents the maximum average basic infiltration value represents the minimum average basic infiltration value; and perform data association with the corresponding sponge data set Mark the basic infiltration data less than the threshold of the basic infiltration value range as abnormal infiltration values, and then obtain the number of abnormal infiltration values corresponding to the sponge area, and obtain the ratio to the number of all sponges in the sponge area, and mark it as the abnormal infiltration ratio; otherwise, do nothing When the abnormal infiltration ratio is less than or equal to 30%, mark the waterlogging level value of the corresponding sponge area as the first level When the abnormal infiltration ratio is greater than 30% and less than 80%, mark the waterlogging level value of the corresponding sponge area as the second level When the abnormal infiltration ratio is greater than or equal to 80%, mark the waterlogging level value of the corresponding sponge area as the third level Perform data association between the abnormal infiltration ratio and the corresponding sponge data set, and perform data association between the waterlogging level value and the corresponding data management layer In the above embodiment, it should be further noted that the process of updating the data management layer includes: Rearrange the sponge data sets corresponding to each sub-data management layer in ascending order according to the basic infiltration value range, and rearrange each data management layer in descending order according to the waterlogging level value

[0025] It should be further noted that in the specific implementation process, the process of the data monitoring module warning each data management layer according to the waterlogging level value includes: Based on the digital image of the sponge city, convert the color of the sponge area corresponding to different levels of waterlogging level values into the corresponding warning color, and send it to the preset management terminal for warning The relevant administrator corresponding to the management terminal adjusts the geographic spatial data of the sponge body corresponding to the abnormal permeability value according to the corresponding warning color and updates the remote sensing data corresponding to the sponge body in real time.

[0026] The features and exemplary embodiments of various aspects of the present application are described in detail above. In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail in combination with the drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application rather than to limit the present application. For those skilled in the art, the present application can be implemented without some of these specific details. The above description of the embodiments is merely to provide a better understanding of the present application by showing examples of the present application.

[0027] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A sponge city data management system based on big data and the Internet, including a data management library, characterized in that: The data management library is connected to a sponge city digital image generation module, a sponge city data acquisition module, a sponge city data processing module and a data monitoring module; The sponge city digital image generation module is used to collect sponge city structure data, and digitally model the sponge city according to the sponge city structure data to generate a sponge city digital image; The sponge city data acquisition module is used to deploy data acquisition nodes in the sponge city digital image, and collect basic penetration data corresponding to the data acquisition nodes in real time, and then send it to the data management library; The data management library is used to classify each basic penetration data and obtain the corresponding sub-data management layer, and arrange each sub-data management layer to obtain the data management layer; The sponge city data processing module processes the sponge city data of each sub-data management layer to obtain the corresponding infiltration abnormal value, and obtains the waterlogging grade value corresponding to the sponge area according to each infiltration abnormal value; The data monitoring module is used to issue early warnings to each data management layer according to the waterlogging grade value.

2. According to claim 1, a sponge city data management system based on big data and the Internet is characterized in that: The process of generating a sponge city digital image by the sponge city digital image generation module includes: Set the maximum penetration distance of rainwater in the sponge city, and set several target points in the sponge city. The square ground area corresponding to each target point is obtained with the target point with the maximum penetration distance as the side length and the center point, and marked as the sponge area; different sponge areas in the sponge city are marked with different colors, and the geographic spatial data corresponding to each sponge area is obtained through GIS, and the remote sensing data corresponding to each sponge area is obtained through remote sensing technology, and then the geographic spatial data and remote sensing data of each sponge area are combined through a three-dimensional spatial model to generate a digital image of the sponge city.

3. According to claim 2, a sponge city data management system based on big data and the Internet is characterized in that: The process of combining geospatial data and remote sensing data of various cavernous areas through a three-dimensional spatial model includes: A three-dimensional spatial model is constructed based on the geographic spatial data corresponding to each sponge body in the sponge body area, and the remote sensing data corresponding to each sponge body is transmitted to the geographic spatial data corresponding to the three-dimensional spatial model and displayed in real time, thereby generating a digital image of the sponge city.

4. A sponge city data management system based on big data and the Internet according to claim 3, characterized in that: The process of deploying data collection nodes in the sponge city data collection module includes: Corresponding sensors are set at all sponge positions in the sponge area, and automatic switch terminals and planned collection cycles are set on the sensors; a remote sensing data threshold range for the sponge type corresponding to the sponge is set, and all remote sensing data in the sponge area are obtained according to the digital image of the sponge city. If there is no sponge corresponding to the remote sensing data threshold, the corresponding sponge position is marked as a first collection node and a first collection node signal is generated. Otherwise, the sponge position is marked as a second collection node and a second collection node signal is generated; the first collection node signal and the second collection node signal are sent to the corresponding sensor at the same time.

5. A sponge city data management system based on big data and the Internet according to claim 4, characterized in that: The process of real-time collection of basic penetration data corresponding to the data collection node includes: If the first collection node signal is received, the sensor will automatically open according to the automatic switch end to collect the basic infiltration data corresponding to the first collection node in real time; if the second collection node signal is received, the sensor will automatically open the corresponding automatic switch end according to the planned collection cycle to collect the basic infiltration data corresponding to the second collection node; and transmit the hydrological data to the corresponding sponge body position of the sponge city digital image for real-time display.

6. A sponge city data management system based on big data and the Internet according to claim 5, characterized in that: The process of the data management library acquiring the sub-data management layer includes: Obtain the acquisition time corresponding to the basic infiltration data, and associate the basic infiltration data corresponding to each sponge in the sponge area with the corresponding remote sensing data according to the acquisition time to generate a sponge data set; merge the sponge data sets corresponding to the same sponge type to generate a sponge data set library, and arrange the sponge data sets corresponding to the sponge data set library in descending order according to the difference between the corresponding remote sensing data and the remote sensing data threshold range, and juxtapose the sponge data sets with the same difference; Obtain the corresponding climate data under rainy conditions, and obtain basic rain data based on the climate data; associate the climate data with the basic rain data and then map them with the corresponding sponge data collection library to obtain the corresponding sub-data management layer under rainy conditions.

7. A sponge city data management system based on big data and the Internet according to claim 6, characterized in that: The process of acquiring the data management layer includes: Arrange the sub-data management layers in the order of the first acquisition node and the second acquisition node to obtain the corresponding data management layer under the rainy day state.

8. According to claim 7, a sponge city data management system based on big data and the Internet is characterized in that: The process of obtaining the corresponding infiltration anomaly value by the sponge city data processing module includes: The basic rainwater data of each sponge data set in the sub-data management layer is scheduled, and the basic rainwater condition group corresponding to each sponge data set is obtained according to the corresponding basic rainwater data. The basic infiltration data corresponding to each sponge data set in the basic rainwater data condition group is scheduled, and the basic infiltration average value corresponding to each basic rainwater data condition of the sponge according to the collection time is obtained, and then the maximum basic infiltration average value and the minimum basic infiltration average value in the basic rainwater data condition are obtained, and then the basic infiltration value range corresponding to the sponge is obtained, which is recorded as , where L represents the position of the corpus cavernosum corresponding to the corpus cavernosum, Expressed as the maximum basic penetration average, It is expressed as the minimum basic permeability average value; and is data-correlated with the corresponding sponge data set.

9. A sponge city data management system based on big data and the Internet according to claim 8, characterized in that: The process of obtaining the waterlogging grade value corresponding to the sponge area includes: The basic permeability data that is less than the minimum basic permeability average value is marked as an abnormal permeability value, and then the number of abnormal permeability values ​​corresponding to the cavernous body area is obtained, and the ratio to the number of all cavernous bodies in the cavernous body area is obtained and marked as the abnormal permeability ratio; otherwise, no processing is performed; When the abnormal infiltration ratio is less than or equal to 30%, the waterlogging grade value of the corresponding sponge area is marked as Grade I; When the abnormal infiltration ratio is greater than 30% and less than 80%, the waterlogging level value of the corresponding cavernous area is marked as level 2; When the abnormal infiltration ratio is greater than or equal to 80%, the waterlogging grade value of the corresponding cavernous area is marked as Grade 3; The abnormal infiltration ratio is data-associated with the corresponding sponge data set, and the waterlogging grade value is data-associated with the corresponding data management layer; the sponge data set corresponding to each sub-data management layer is rearranged in order from small to large according to the basic infiltration value range, and each data management layer is rearranged in order from large to small according to the waterlogging grade value.

10. A sponge city data management system based on big data and the Internet according to claim 9, characterized in that: The process of the data monitoring module providing early warning to each data management layer according to the waterlogging grade value includes: Based on the digital image of the sponge city, the colors of the sponge areas corresponding to different levels of waterlogging are converted into corresponding warning colors, and sent to the preset management terminal for warning; The relevant administrator corresponding to the management terminal adjusts the geographic spatial data of the sponge body corresponding to the abnormal permeability value according to the corresponding warning color and updates the remote sensing data corresponding to the sponge body in real time.

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