Intelligent self-inspection maintenance rainfall flood control method suitable for sponge city

Abstract

The invention relates to an intelligent self-inspection maintenance rainfall flood control method suitable for a sponge city, and belongs to the technical field of prediction data processing, and the method comprises the following steps: 1) in the sponge city, collecting the rainfall data of the city, the water level data of the city, and the rainfall runoff data flowing to a sponge body; 2), predicting whether the sponge city is submerged or not according to the mixed or compatible data; 3) collecting water quality data in the rainwater runoff, and predicting whether the sponge city is submerged or not according to the water quality condition in the rainwater runoff; step 4), controlling rainwater runoff flowing to the sponge city according to the prediction condition of whether the sponge city is submerged or not; 5) monitoring and controlling the rainfall runoff flowing to the sponge city in real time; the method has the beneficial effect that the rainfall runoff flowing to the sponge city is controlled according to the prediction condition of whether the sponge city is submerged or not.

Description

Technical Field

[0001] The present invention belongs to the technical field of predictive data processing, and in particular relates to an intelligent self-checking and maintenance rainwater control method suitable for sponge cities, which is used for performing data prediction and processing based on detected rainwater runoff data to control rainwater. Background Art

[0002] Sponge city is used for urban planning, construction and management, giving full play to buildings, roads, green spaces and water ecosystems. Sponge city has the functions of absorbing, storing and slowly releasing rainwater, effectively controlling rainwater runoff, and realizing the urban development mode of natural accumulation, natural infiltration and natural purification. The core of sponge city is to reasonably control the rainwater runoff falling on the underlying surface of the city (i.e. sponge body), so that the rainwater can be absorbed and utilized on the spot through the sponge body.

[0003] At present, the sponge body of the sponge city has reached a certain degree of saturation in absorbing and absorbing rainwater on site. If too much rainwater flows into the sponge body, the sponge body will overflow the saturated excess rainwater into the city, and the city’s buildings, roads and green spaces will be flooded by rainwater. Therefore, it is urgent to reasonably control the rainwater runoff flowing into the sponge body. Summary of the invention

[0004] The present invention mainly solves the technical problem of how to reasonably control the rainwater runoff flowing to the sponge body. The present invention provides an intelligent self-inspection and maintenance rainwater control method suitable for sponge cities, which controls the rainwater runoff flowing to the sponge city according to the prediction of whether the sponge city is flooded.

[0005] In order to achieve the above object, the present invention is implemented by the following technical solutions: An intelligent self-checking and maintenance rainwater control method suitable for sponge cities comprises the following steps: Step 1): In the sponge city, the rainfall data, water level data and rainwater runoff data flowing to the sponge body are collected; wherein the rainfall data, water level data and rainwater runoff data are collected in real time by using a real-time data mixing method; Step 2): predict whether the sponge city is flooded based on the mixed or compatible data; wherein, a data classification evaluation method is used to predict whether the sponge city is flooded; Step 3): Collect water quality data in rainwater runoff and predict whether the sponge city is flooded based on the water quality of the rainwater runoff; wherein the water quality of the rainwater runoff is analyzed using the dirt shape and size method; Step 4): Based on step 2) and step 3), controlling the rainwater runoff flowing to the sponge city according to the prediction of whether the sponge city is flooded; Step 5): Real-time monitoring and control of rainwater runoff to the sponge city.

[0006] Optionally, in step 1), a real-time data mixing method is used, which is the following steps: Step a): the rainfall data, the water level data and the rainwater runoff data are collected simultaneously, and the three data are mixed in a data-compatible manner; wherein the three data are mixed in a data-category-compatible manner; Step b): the rainfall data, water level data and rainwater runoff data are compatible at the same time; Step c): Check whether there is any data loss in the compatible rainfall data, water level data and rainwater runoff data.

[0007] Furthermore, in step a), the data category compatibility is as follows: (1); in, , and They are rainfall data, water level data and rainwater runoff data; is one end of the rainfall data, are the two ends of the water level data, One end of the stormwater runoff data; To connect the symbols, the rainfall data, water level data and stormwater runoff data are made compatible; Identify the function for data category, Data categories used to identify rainfall data, water level data, and stormwater runoff data; Identify the data types used to perform rainfall data, water level data, and stormwater runoff data, and perform compatible operations on each data; After identifying each data category, each data is compatible; For the time period, For time period The first a moment, For the time period Among the moments within Moment ; For the Moment In the process, each data is categorized and compatible with each data; The result after classifying and matching each data.

[0008] Optionally, in step 2), the data classification evaluation method is as follows: Step a'): selecting one, two or all three of rainfall data, water level data and rainwater runoff data; Step b'): classify and identify the selected data; Step C'): classify and make compatible the selected data; Step d'): Evaluate each data after classification; if the selected data classification identification is correct and the selected data compatibility is correct, then the classification evaluation of each data is correct; otherwise, the classification evaluation of each data is wrong.

[0009] Optionally, in step 2), the data classification evaluation method is the following formula (2): (2); in, , and They are rainfall data, water level data and rainwater runoff data; To select rainfall data , water level data and stormwater runoff data One, two or all three of the following data, To classify and identify the selected data; To connect the symbols, the rainfall data, water level data and stormwater runoff data are made compatible; According to the rainfall data , water level data To Stormwater Runoff Data Data classification evaluation is performed by arranging the data in sequence; Evaluate the results for the classification of each data.

[0010] Optionally, in step 3), the dirt shape and size method is the following steps: Step A): determining a flow direction of rainwater runoff; wherein the flow direction of the rainwater runoff is one of the two flow directions; Step B): setting each cross section of the rainwater runoff, and setting the shapes of each cross section of the rainwater runoff to be equal; Step C): Evaluate the dirt shape in each cross section of the stormwater runoff.

[0011] Optionally, in step 3), the dirt shape and size method is the following formula (3): (3); in, For stormwater runoff, stormwater runoff flows from one direction to another, or stormwater runoff flows from another direction to one direction; for each cross section of stormwater runoff; To set the shapes of each cross section of stormwater runoff to be equal; To select the first Cross-section , To match the selected stormwater runoff Cross-section , To determine the selected Cross-section ; To select Cross-section , set the Cross-section The cross-sectional shape of To evaluate the shape of dirt in various cross sections of stormwater runoff; To evaluate the shape of dirt in each cross section of the stormwater runoff in the direction of its flow; For evaluation results.

[0012] Optionally, in step 4), the control of the rainwater runoff flowing to the sponge city is performed by the following steps: Step 00): Evaluate the flow direction of the stormwater runoff and control the flow rate of the stormwater runoff; Step 01): Determine whether each cross section of the stormwater runoff is equal; Step 02): After all cross sections of the rainwater runoff are equal, determine the situation of the entire rainwater runoff.

[0013] Optionally, in step 5), the cross-section of the rainwater runoff flowing to the sponge city is monitored and controlled in real time to keep each cross-section of the rainwater runoff equal.

[0014] Beneficial effects of the present invention: The present invention collects rainfall data, water level data and rainwater runoff data in real time, predicts whether a sponge city is flooded based on mixed or compatible data, collects water quality data in rainwater runoff, predicts whether a sponge city is flooded based on the water quality in rainwater runoff, and controls rainwater runoff flowing to the sponge city based on the prediction of whether the sponge city is flooded. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 It is a schematic diagram of the overall workflow of the present invention; Figure 2 It is a schematic diagram of the workflow of the real-time data mixing method of the present invention; Figure 3 It is a schematic diagram of the workflow of the data classification evaluation method of the present invention; Figure 4 This is a schematic diagram of the workflow of the dirt shape and size method of the present invention; Figure 5 It is a schematic flow chart of a method for controlling rainwater runoff flowing to a sponge city according to the present invention. DETAILED DESCRIPTION

[0017] The embodiments of the present application are described in detail below with reference to the accompanying drawings. Example

[0018] like Figure 1 As shown, this embodiment provides an intelligent self-checking and maintenance rainwater control method applicable to sponge cities, comprising the following steps: Step 1): In the sponge city, the rainfall data, water level data and rainwater runoff data flowing to the sponge body are collected; wherein the rainfall data, water level data and rainwater runoff data are collected in real time by using a real-time data mixing method; Step 2): predict whether the sponge city is flooded based on the mixed or compatible data; wherein, a data classification evaluation method is used to predict whether the sponge city is flooded; Step 3): Collect water quality data in rainwater runoff and predict whether the sponge city is flooded based on the water quality of the rainwater runoff; wherein the water quality of the rainwater runoff is analyzed using the dirt shape and size method; Step 4): Based on step 2) and step 3), controlling the rainwater runoff flowing to the sponge city according to the prediction of whether the sponge city is flooded; Step 5): Real-time monitoring and control of rainwater runoff to the sponge city. Example

[0019] Based on Example 1, Figure 2 As shown, in step 1), a real-time data mixing method is adopted, which is the following steps: Step a): collecting rainfall data, water level data and rainwater runoff data simultaneously, and mixing the three data in a data-compatible manner; wherein the three data are mixed in a data-category-compatible manner; Step b): compatibility of rainfall data, water level data and rainwater runoff data at the same time; Step c): Check whether there is data loss in the compatible rainfall data, water level data and rainwater runoff data. If there is data loss, repeat steps a) to b). If there is no data loss, save the compatible rainfall data, water level data and rainwater runoff data at the same time.

[0020] Furthermore, in step a), the data category compatibility is as follows: (1); in, , and They are rainfall data, water level data and rainwater runoff data; is one end of the rainfall data, are the two ends of the water level data, One end of the stormwater runoff data; To connect the symbols, the rainfall data, water level data and stormwater runoff data are made compatible; Identify the function for data category, Data categories used to identify rainfall data, water level data, and stormwater runoff data; Identify the data types used to perform rainfall data, water level data, and stormwater runoff data, and perform compatible operations on each data; After identifying each data category, each data is compatible; For the time period, For time period The first a moment, For the time period Among the moments within Moment ; For the Moment In the process, each data is categorized and compatible with each data; The result after classifying and matching each data.

[0021] In formula (1), the water level data The two ends correspond to the rainfall data. One end and stormwater runoff data one end to form fixed data compatibility.

[0022] In formula (1), we can Select At each moment, each data category is identified and each data is compatible. Example

[0023] Based on Example 1, Figure 3 As shown, in step 2), the data classification evaluation method is as follows: Step a'): selecting one, two or all three of rainfall data, water level data and rainwater runoff data; Step b'): classify and identify the selected data; Step C'): classify and make compatible the selected data; Step d'): Evaluate each data after classification; if the selected data classification identification is correct and the selected data compatibility is correct, then the classification evaluation of each data is correct; otherwise, the classification evaluation of each data is wrong.

[0024] Or, in step 2), the data classification evaluation method is the following formula (2): (2); in, , and They are rainfall data, water level data and rainwater runoff data; To select rainfall data , water level data and stormwater runoff data One, two or all three of the following data, To classify and identify the selected data; To connect the symbols, the rainfall data, water level data and stormwater runoff data are made compatible; According to the rainfall data , water level data To Stormwater Runoff Data Data classification evaluation is performed by arranging the data in sequence; Evaluate the results for the classification of each data.

[0025] In formula (2), according to the rainfall data Water level data To Stormwater Runoff Data After the data is classified and evaluated by the data order arrangement method, if the rainfall data , water level data and stormwater runoff data If the data categories are all correct, the classification evaluation of each data is correct.

[0026] In step 2), based on the rainfall data , water level data and stormwater runoff data After the data are classified correctly, analyze the rainfall data , water level data and stormwater runoff data ; If the rainfall data The larger the value of is, the greater the rainfall is; the water level data The larger the value of is, the higher the water level is; the stormwater runoff data The larger the value of , the larger the stormwater runoff cross-section.

[0027] As long as the rainfall data , water level data or stormwater runoff data If one of the data is larger, the sponge city will be submerged. Example

[0028] Based on Example 1, Figure 4 As shown, in step 3), the dirt shape and size method is as follows: Step A): determining the flow direction of rainwater runoff; wherein the flow direction of rainwater runoff has only one flow direction within a certain period of time; Step B): setting each cross section of the rainwater runoff, and setting each cross section of the rainwater runoff to have an equal shape; Step C): Evaluate the dirt shape in each cross section of the stormwater runoff.

[0029] Or, in step 3), the dirt shape and size method is the following formula (3): (3); in, For stormwater runoff, stormwater runoff flows from one direction to another, or stormwater runoff flows from another direction to one direction; for each cross section of stormwater runoff; To set the shapes of each cross section of stormwater runoff to be equal; To select the first Cross-section , To match the selected stormwater runoff Cross-section , To determine the selected Cross-section ; To select Cross-section , set the Cross-section The cross-sectional shape of To evaluate the shape of dirt in various cross sections of stormwater runoff; To evaluate the shape of dirt in each cross section of the stormwater runoff in the direction of its flow; For evaluation results.

[0030] In formula (3), as long as the cross-sections of the rainwater runoff are equal in the flow direction of the rainwater runoff, and the shapes and sizes of the dirt flowing through the cross-sections of the rainwater runoff are equal (the shapes and sizes of the dirt flowing through the cross-sections of the rainwater runoff are pre-set, otherwise the rainwater runoff will be blocked or the flow rate of the rainwater runoff will be too fast), the water quality in the rainwater runoff is good.

[0031] Because the shape and size of the dirt in the rainwater runoff are set, and the cross-sections of the rainwater runoff are equal, the flow rate of the rainwater runoff is limited, and it is possible to predict whether the sponge city will be flooded; if the shape and size of the dirt in the rainwater runoff are set and the flow rate of the rainwater runoff has a fixed value, the sponge city will not be flooded, otherwise, the sponge city will lack water or be flooded. Example

[0032] Based on Example 1, Figure 5 As shown, in step 4), the control of rainwater runoff flowing to the sponge city is as follows: Step 00): Evaluate the flow direction of the stormwater runoff and control the flow rate of the stormwater runoff; Step 01): Determine whether the cross sections of the rainwater runoff are equal (if the cross sections of the rainwater runoff are not equal, and the shapes and sizes of the dirt flowing through the cross sections of the rainwater runoff are not equal, the rainwater runoff will be blocked, and the cross sections of the rainwater runoff need to be trimmed to be the same); Step 02): After all cross sections of the rainwater runoff are equal, determine the situation of the entire rainwater runoff.

[0033] In addition, in step 5), the cross-section of the rainwater runoff flowing to the sponge city is monitored and controlled in real time to keep the cross-sections of the rainwater runoff equal. When the shape and size of the dirt in the rainwater runoff are set and the flow rate of the rainwater runoff has a fixed value, the flow rate of the rainwater runoff has a fixed value.

[0034] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope recorded in the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. An intelligent self-checking and maintenance rainwater control method suitable for sponge cities, characterized in that: The steps include: Step 1): In the sponge city, the rainfall data, water level data and rainwater runoff data flowing to the sponge body are collected; wherein the rainfall data, water level data and rainwater runoff data are collected in real time by using a real-time data mixing method; Step 2): predict whether the sponge city is flooded based on the mixed or compatible data; wherein, a data classification evaluation method is used to predict whether the sponge city is flooded; Step 3): Collect water quality data in rainwater runoff and predict whether the sponge city is flooded based on the water quality of the rainwater runoff; wherein the water quality of the rainwater runoff is analyzed using the dirt shape and size method; Step 4): Based on step 2) and step 3), controlling the rainwater runoff flowing to the sponge city according to the prediction of whether the sponge city is flooded; Step 5): Real-time monitoring and control of rainwater runoff to the sponge city.

2. According to claim 1, an intelligent self-checking and maintenance rainwater control method suitable for sponge cities is characterized in that: In step 1), the real-time data mixing method is adopted, which is the following steps: Step a): the rainfall data, the water level data and the rainwater runoff data are collected simultaneously, and the three data are mixed in a data-compatible manner; wherein the three data are mixed in a data-category-compatible manner; Step b): compatibility of rainfall data, water level data and rainwater runoff data at the same time; Step c): Check whether there is any data loss in the compatible rainfall data, water level data and rainwater runoff data.

3. According to claim 2, an intelligent self-checking and maintenance rainwater control method suitable for sponge cities is characterized in that: In step a), the data category compatibility is as follows: (1)； in, , and They are rainfall data, water level data and rainwater runoff data; is one end of the rainfall data, are the two ends of the water level data, One end of the stormwater runoff data; To connect the symbols, the rainfall data, water level data and stormwater runoff data are made compatible; Identify the function for data category, Data categories used to identify rainfall data, water level data, and stormwater runoff data; Identify the data types used to perform rainfall data, water level data, and stormwater runoff data, and perform compatible operations on each data; After identifying each data category, each data is compatible; For the time period, For time period The first a moment, For the time period Among the moments within Moment ; For the Moment In the process, each data is categorized and compatible with each data; The result after classifying and matching each data.

4. According to claim 1, the intelligent self-checking and maintenance rainwater control method suitable for sponge cities is characterized in that: In step 2), the data classification evaluation method comprises the following steps: Step a'): selecting one, two or all three of the rainfall data, the water level data and the rainwater runoff data; Step b'): classifying and identifying the selected data; Step C'): classify and make compatible the selected data; Step d'): Evaluate each data after classification; if the selected data classification identification is correct and the selected data compatibility is correct, then the classification evaluation of each data is correct; otherwise, the classification evaluation of each data is wrong.

5. According to claim 1, the intelligent self-checking and maintenance rainwater control method suitable for sponge cities is characterized in that: In the step 2), the data classification evaluation method is the following formula (2): (2); in, , and They are rainfall data, water level data and rainwater runoff data; To select rainfall data , water level data and stormwater runoff data One, two or all three of the following data, To classify and identify the selected data; To connect the symbols, the rainfall data, water level data and stormwater runoff data are made compatible; According to the rainfall data , water level data To Stormwater Runoff Data Data classification evaluation is performed by arranging the data in sequence; Evaluate the results for the classification of each data.

6. The intelligent self-checking and maintenance rainwater control method applicable to sponge cities according to claim 1 is characterized in that: In step 3), the dirt shape and size method comprises the following steps: Step A): determining a flow direction of rainwater runoff; wherein the flow direction of rainwater runoff is one of two flow directions; Step B): setting each cross section of the rainwater runoff, and setting the shapes of each cross section of the rainwater runoff to be equal; Step C): Evaluate the dirt shape in each cross section of the stormwater runoff.

7. The intelligent self-checking and maintenance rainwater control method applicable to sponge cities according to claim 1 is characterized in that: In step 3), the dirt shape and size method is the following formula (3): (3)； in, For stormwater runoff, stormwater runoff flows from one direction to another, or stormwater runoff flows from another direction to one direction; are the various cross sections of stormwater runoff; To set the shapes of each cross section of stormwater runoff to be equal; To select the first Cross-section , To match the selected stormwater runoff Cross-section , To determine the selected Cross-section ; To select Cross-section , set the Cross-section The cross-sectional shape of To evaluate the shape of dirt in various cross sections of stormwater runoff; To evaluate the shape of dirt in each cross section of the stormwater runoff in the direction of its flow; For evaluation results.

8. The intelligent self-checking and maintenance rainwater control method applicable to sponge cities according to claim 1 is characterized in that: In step 4), the control of the rainwater runoff flowing to the sponge city is carried out as follows: Step 00): Evaluate the flow direction of the stormwater runoff and control the flow rate of the stormwater runoff; Step 01): Determine whether each cross section of the stormwater runoff is equal; Step 02): After all cross sections of the rainwater runoff are equal, determine the situation of the entire rainwater runoff.

9. The intelligent self-checking and maintenance rainwater control method applicable to sponge cities according to claim 1 is characterized in that: In step 5), the cross-section of the rainwater runoff flowing to the sponge city is monitored and controlled in real time to keep the cross-sections of the rainwater runoff equal.

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