CN117649058B - Water conservancy guiding optimization method, system and storage medium for urban drainage - Google Patents
Water conservancy guiding optimization method, system and storage medium for urban drainage Download PDFInfo
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Abstract
The invention discloses a water conservancy guiding optimization method, a system and a storage medium for urban drainage, which relate to the technical field of drainage analysis and comprise the following steps: obtaining topographic data and drainage distribution data of a city area from a city topographic database; establishing an urban drainage model according to the topographic data and drainage distribution data of the urban area; analyzing the urban drainage model to obtain drainage distribution conditions in the urban drainage model, and defining an optimization area; the method is used for solving the problem that the urban drainage analysis has hysteresis caused by the lack of a quick and effective analysis method for the weak area of urban drainage in the prior art.
Description
Technical Field
The invention relates to the technical field of drainage analysis, in particular to a water conservancy guiding optimization method, a system and a storage medium for urban drainage.
Background
Urban inland inundation refers to the phenomenon that water accumulation disasters are caused in cities due to strong precipitation or continuous precipitation exceeding urban drainage capacity. The objective cause of waterlogging is that rainfall intensity is large and the range is concentrated. The places with special don't worry rainfall can form ponding, the rainfall intensity is relatively large, the time is relatively long, and ponding can be formed, so that various factors can possibly influence urban drainage in the urban drainage process.
In the prior art, in the analysis technology for urban drainage, a method for monitoring the urban drainage process is generally used, for example, a smart urban drainage command control platform is disclosed in the Chinese patent with the application publication number of CN110033404A, and the platform monitors the urban drainage process so as to conduct real-time emergency command; for example, in the chinese patent with publication number CN112287285A, a "method for partitioning and processing water storage area based on basic information of urban waterlogging" is disclosed, and the method also performs partition early warning through rainfall information, and the method lacks early warning analysis on urban areas, and is based on drainage analysis and early warning performed during real-time monitoring of drainage process.
Disclosure of Invention
The invention aims to solve at least one of the technical problems in the prior art to a certain extent, and by inputting the topographic data and the drainage distribution data of the city, the urban drainage system can automatically analyze, divide the area to be optimized for drainage and the line to be optimized for drainage, and is favorable for dividing the area for early warning of urban drainage, so that the problem that the urban drainage analysis has hysteresis due to the lack of a rapid and effective analysis method for the weak area of urban drainage in the prior art is solved.
To achieve the above object, in a first aspect, the present application provides a water conservancy diversion optimization method for urban drainage, comprising: obtaining topographic data and drainage distribution data of a city area from a city topographic database;
establishing an urban drainage model according to the topographic data and drainage distribution data of the urban area;
analyzing the urban drainage model to obtain drainage distribution conditions in the urban drainage model, and defining an optimization area;
and (3) carrying out guiding optimization on urban drainage in the optimized area, and demarcating the drainage area to be optimized and the drainage line to be optimized.
Further, the terrain data includes satellite images of urban areas,
Establishing the urban drainage model according to the topographic data and the drainage distribution data of the urban area comprises the following steps: acquiring satellite images of a plurality of marked urban areas, setting the satellite images as historical satellite images, wherein the historical satellite images comprise marked greening areas and hard surface areas, and setting the marked greening areas and the hard surface areas as greening marking areas and hard surface marking areas respectively;
Carrying out gray scale treatment on the greening marking areas and the hard surface marking areas, respectively obtaining gray scale values of a plurality of pixel points from the greening marking areas, and setting the gray scale values as greening reference gray scales; respectively acquiring gray values of a plurality of pixel points from a plurality of hard surface marking areas, and setting the gray values as hard surface reference gray values;
the average value of a plurality of greening reference gray scales is calculated, the average value is set as greening average gray scale, the average value of a plurality of hard surface reference gray scales is calculated, the average gray scale is set as hard surface average gray scale, the average value of greening average gray scale and hard surface average gray scale is calculated, and the average value is set as urban area division gray scale.
Further, building the urban drainage model according to the topographic data and the drainage distribution data of the urban area further comprises: acquiring a real-time satellite image of a city area, and setting the real-time satellite image;
Carrying out graying treatment on the real-time satellite image to obtain a real-time satellite gray image, taking the urban area division gray as the binarization division gray of the real-time satellite gray image, and carrying out binarization treatment on the real-time satellite gray image;
the white area after binarization is set as a hard surface real-time area, and the black area after binarization is set as a greening real-time area.
Further, building the urban drainage model according to the topographic data and the drainage distribution data of the urban area further comprises: acquiring the altitude in the topographic data of the urban area, and establishing a topographic three-dimensional model based on the altitude;
acquiring an underground drainage pipeline path in drainage distribution data of an urban area, performing position correspondence on the underground drainage pipeline path and a terrain three-dimensional model, and synchronizing the underground drainage pipeline path and the terrain three-dimensional model;
and (3) carrying out position correspondence on the hard surface real-time area and the greening real-time area of the urban area and the terrain three-dimensional model, synchronizing the hard surface real-time area and the greening real-time area into the terrain three-dimensional model, and setting the synchronized terrain three-dimensional model as an urban drainage model.
Further, analyzing the urban drainage model to obtain drainage distribution conditions in the urban drainage model, and defining an optimization area comprises: setting a greening real-time area in the terrain three-dimensional model as a first drainage area;
The method comprises the steps of setting mutually separated areas in a first drainage area as first single drainage areas respectively, sequencing the first single drainage areas from large to small to obtain a demarcation area sequence, and selecting a first single drainage area with a first single proportion in the demarcation area sequence as a second single drainage area;
acquiring the altitude of a second single drainage area according to the urban drainage model;
Setting the maximum value of the altitude in the plurality of second single-piece drainage areas as a first demarcation height, setting the minimum value of the altitude in the plurality of second single-piece drainage areas as a second demarcation height, and setting the range between the second demarcation height and the first demarcation height as a demarcation area height interval;
And selecting a second single drainage area with a first basic proportion from small to large in altitude in the altitude interval of the delimited area as a basic drainage area.
Further, analyzing the urban drainage model to obtain drainage distribution conditions in the urban drainage model, and defining an optimization area further comprises: dividing a hard surface real-time area and an underground drainage pipeline path in the terrain three-dimensional model into a second drainage area and a drainage line;
Sequencing the second drainage areas from large to small according to the area to obtain a second drainage area sequence, and selecting the second drainage area with the first basic drainage proportion before in the second drainage area sequence as a drainage basic area;
Setting drainage lines connecting two second drainage areas as drainage foundation lines, sequencing the drainage foundation lines according to the line length from large to small to obtain a drainage foundation line sequence, and selecting the drainage foundation lines with the proportion of the first line before the drainage foundation line sequence as drainage demarcation lines;
The method comprises the steps of corresponding a drainage foundation area and a drainage demarcation line to an urban drainage model, sequencing a plurality of drainage foundation areas from low altitude to high altitude to obtain a drainage foundation elevation sequence, and selecting a drainage foundation area with a first drainage proportion before the drainage foundation elevation sequence as a drainage distribution area;
Acquiring the altitudes of two ends of a drainage demarcation line through an urban drainage model, solving the difference value of the altitudes of the two ends of the drainage demarcation line, setting the difference value as a drainage demarcation altitude difference, sequencing the drainage demarcation line from large to small according to the drainage demarcation altitude difference to obtain a drainage elevation difference demarcation sequence, and selecting the drainage demarcation line with a second drainage proportion before the drainage elevation difference demarcation sequence as a drainage distribution line;
And extracting a plurality of drainage distribution areas and a plurality of drainage distribution lines in the urban drainage model to form a drainage distribution model, wherein the area corresponding to the drainage distribution model is an optimized area.
Further, the optimizing area is guided and optimized for urban drainage, and the defining of the drainage area to be optimized and the drainage line to be optimized comprises the following steps: obtaining a plane contour of a city area, and dividing the plane contour of the city area into a plurality of square grids according to a first dividing ratio;
setting squares falling on the plane contour of the urban area as first contour squares; setting a square adjacent to the first contour square as a second contour square; setting a square adjacent to the second contour square and far from one side of the first contour square as a third contour square;
removing the first contour square, the second contour square and the third contour square in the plane contour of the urban area, and setting the reserved square as the reserved square;
Setting the centers of a plurality of reserved square grids as reserved centers, setting the centers of a plurality of first contour square grids as first contour centers, setting the distance between the reserved centers and the first contour centers as reserved distances, and adding the reserved distances between the reserved centers and the reserved distances between the plurality of first contour centers to obtain reserved total distances;
respectively solving the reserved total distance between each reserved center and a plurality of first contour centers;
and selecting the minimum value of the reserved total distances, setting the minimum value as the reserved minimum total distance, and setting a reserved center corresponding to the reserved minimum total distance as a regional reference center.
Further, the optimizing area is guided and optimized for urban drainage, and the area to be optimized for drainage and the drainage line to be optimized for drainage are defined, and the method further comprises the following steps: dividing the basic drainage areas into a plurality of square grids according to a second dividing ratio, acquiring the centers of the square grids of the basic drainage areas, and setting the centers of the square grids as the centers of the basic drainage square grids;
respectively calculating the distance between the center of the basic drainage square lattice and the regional reference center, setting the distance as a basic drainage interval distance, and setting the minimum value in a plurality of basic drainage interval distances as an interval reference distance;
The interval reference distance of each basic drainage area is respectively obtained, a plurality of interval reference distances are ordered from small to large to obtain an interval reference sequence, the interval reference distance of a first interval proportion in the interval reference sequence is selected as an interval selection distance, and the basic drainage area corresponding to the interval selection distance is set as a basic drainage selection area.
Further, the optimizing area is guided and optimized for urban drainage, and the area to be optimized for drainage and the drainage line to be optimized for drainage are defined, and the method further comprises the following steps: dividing the plurality of drainage distribution areas into a plurality of grids according to a second dividing ratio, obtaining centers of the plurality of grids of the drainage distribution areas, and setting the centers of the plurality of grids as drainage distribution grid centers;
Respectively calculating the distance between the center of the drainage distribution square lattice and the regional reference center, setting the distance as drainage distribution interval distance, and setting the minimum value in the drainage distribution interval distances as drainage reference distance;
The method comprises the steps of respectively obtaining the drainage reference distance of each drainage distribution area, sorting a plurality of drainage reference distances from small to large to obtain a drainage reference sequence, selecting the drainage reference distance of a first drainage reference proportion in the drainage reference sequence as a drainage selection distance, and setting the drainage distribution area corresponding to the drainage selection distance as a drainage distribution selection area;
corresponding a plurality of drainage distribution selection areas and basic drainage selection areas to urban drainage models, and respectively solving the minimum grid intervals of the drainage distribution selection areas and the basic drainage selection areas; setting a drainage distribution selection area with the minimum square spacing larger than or equal to a first interval threshold value as a drainage area to be optimized;
Judging whether a drainage distribution line exists in the to-be-optimized drainage area, and setting the drainage line of the to-be-optimized drainage area as the to-be-optimized drainage line when the drainage distribution line does not exist in the to-be-optimized drainage area.
In a second aspect, the present application provides a water conservancy diversion optimization system for urban drainage comprising: the system comprises an urban terrain database, a drainage distribution analysis module and a guide optimization module; the urban terrain database stores terrain data and drainage distribution data of urban areas;
the drainage distribution analysis module is used for establishing an urban drainage model according to the topographic data and the drainage distribution data of the urban area;
The guiding optimization module comprises a terrain analysis unit and a guiding optimization unit; the terrain analysis unit is used for analyzing the urban drainage model to obtain drainage distribution conditions in the urban drainage model and define an optimization area; the guide optimizing unit is used for guiding and optimizing urban drainage in the optimizing area and demarcating a drainage area to be optimized and a drainage line to be optimized.
In a third aspect, the application provides a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method as claimed in any of the preceding claims.
The invention has the beneficial effects that: according to the urban drainage model building method, the urban area topographic data and the drainage distribution data are obtained from the urban topographic database, and the urban drainage model is built according to the urban area topographic data and the drainage distribution data;
according to the urban drainage model, the drainage distribution condition in the urban drainage model is obtained through analysis, the optimization area is defined, the urban drainage is guided and optimized in the optimization area, the area to be optimized for drainage and the line to be optimized for drainage are defined, the area to be optimized for drainage and the line to be optimized for drainage in the urban area can be automatically screened out through the automatic analysis method, and further an early warning area is provided for urban drainage, and workers can be assisted in dividing the weak area for urban drainage.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
FIG. 1 is a flow chart of steps of a water conservancy diversion optimization method for urban drainage of the present invention;
FIG. 2 is a schematic block diagram of a water conservancy diversion optimization system for urban drainage of the present invention;
Fig. 3 is a schematic diagram of a real-time satellite gray scale image according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 2, the present application provides a water conservancy guiding optimization system for urban drainage, which is capable of automatically analyzing by inputting urban topographic data and drainage distribution data, dividing a to-be-optimized drainage area and a to-be-optimized drainage line, and helping to divide an early warning area for urban drainage, so as to solve the problem of hysteresis in urban drainage analysis caused by lack of a quick and effective analysis method for a weak area for urban drainage in the prior art; specifically, the water conservancy diversion optimization system for urban drainage comprises: the system comprises an urban terrain database, a drainage distribution analysis module and a guide optimization module;
The urban terrain database stores terrain data and drainage distribution data of the urban area, and the terrain data also comprises satellite images of the urban area;
The drainage distribution analysis module is used for establishing an urban drainage model according to the topographic data and the drainage distribution data of the urban area; the drainage distribution analysis module is configured with a urban area division gray scale acquisition strategy, and the urban area division gray scale acquisition strategy comprises: acquiring satellite images of a plurality of marked urban areas, setting the satellite images as historical satellite images, wherein the historical satellite images comprise marked greening areas and hard surface areas, the hard surface areas comprise building areas and hard pavement areas, and the marked greening areas and the hard surface areas are respectively set as greening marking areas and hard surface marking areas; normally, the green area in the satellite image is darker in color and the hard area is lighter in color, so that the gray value of the green area is smaller and the gray value of the hard area is larger when the gray processing is performed;
Carrying out gray scale treatment on the greening marking areas and the hard surface marking areas, respectively obtaining gray scale values of a plurality of pixel points from the greening marking areas, and setting the gray scale values as greening reference gray scales; respectively acquiring gray values of a plurality of pixel points from a plurality of hard surface marking areas, and setting the gray values as hard surface reference gray values;
The average value of a plurality of greening reference gray scales is calculated, the average value is set as greening average gray scales, the average value of a plurality of hard surface reference gray scales is calculated, the average value is set as hard surface average gray scales, the average value of greening average gray scales and hard surface average gray scales is calculated, the average value is set as urban area division gray scales, for example, the greening average gray scale is 50, the hard surface average gray scale is 150, and the urban area division gray scale is 100;
the drainage distribution analysis module is further configured with a urban area division strategy, which includes: acquiring a real-time satellite image of a city area, and setting the real-time satellite image;
Carrying out graying treatment on the real-time satellite image to obtain a real-time satellite gray image, taking the urban area division gray as the binarization division gray of the real-time satellite gray image, and carrying out binarization treatment on the real-time satellite gray image; as shown in fig. 3, the two arrows with the reference number 1 are greening areas, and the two arrows with the reference number not are hard surface areas;
Setting a white area after binarization processing as a hard surface real-time area, setting a black area after binarization processing as a greening real-time area, referring to the setting of the dividing gray of the urban area, setting the gray value of a pixel with a gray value of 100 or more in a real-time satellite gray image as 255, and setting the gray value of a pixel with a gray value of 100 or less in the real-time satellite gray image as 0, thereby realizing binarization dividing processing of the real-time satellite gray image.
The drainage distribution analysis module is also configured with a water conservancy model establishment strategy, which comprises: acquiring the altitude in the topographic data of the urban area, establishing a topographic three-dimensional model based on the altitude, wherein the topographic three-dimensional model is set by adopting the existing altitude contour line distinguishing method, the altitude proportion of the topographic three-dimensional model is 1:10000, for example, the altitude in the topographic three-dimensional model is 1cm, and the corresponding actual altitude is 100m;
acquiring an underground drainage pipeline path in drainage distribution data of an urban area, performing position correspondence on the underground drainage pipeline path and a terrain three-dimensional model, and synchronizing the underground drainage pipeline path and the terrain three-dimensional model;
and (3) carrying out position correspondence on the hard surface real-time area and the greening real-time area of the urban area and the terrain three-dimensional model, synchronizing the hard surface real-time area and the greening real-time area into the terrain three-dimensional model, and setting the synchronized terrain three-dimensional model as an urban drainage model.
The guiding optimization module comprises a topography analysis unit and a guiding optimization unit; the terrain analysis unit is used for analyzing the urban drainage model to obtain drainage distribution conditions in the urban drainage model and define an optimization area; the topography analysis unit is configured with a topography analysis strategy comprising: setting a greening real-time area in a terrain three-dimensional model as a first drainage area, wherein the bottom surface of the greening area is usually a soil layer, and the water permeability is better than that of a hard ground, so that the more the greening areas are, the better the urban drainage effect is;
The method comprises the steps of setting mutually separated areas in a first drainage area as first single drainage areas respectively, sequencing the first single drainage areas from large to small to obtain a demarcation area sequence, and selecting a first single drainage area with a first single proportion in the demarcation area sequence as a second single drainage area; in the implementation, each two first single-sheet drainage areas are mutually independent areas, and no joint exists between the two areas; the first single-sheet proportion is set to be 50%, the area of the first 50% of the first single-sheet drainage area is larger, and the drainage effect is best;
acquiring the altitude of a second single drainage area according to the urban drainage model;
Setting the maximum value of the altitude in the plurality of second single drainage areas as a first demarcation height, setting the minimum value of the altitude in the plurality of second single drainage areas as a second demarcation height, setting the range between the second demarcation height and the first demarcation height as a demarcation area height interval, for example, the first demarcation height is 100m, the second demarcation height is 25m, and the demarcation area height interval is 25 to 100 excluding 25 and 100;
the second single-chip drainage areas with the first basic proportion, which are arranged from small to large in altitude intervals of the defined areas, are selected as basic drainage areas, the smaller the altitude is, the easier water collection is, the larger the drainage effect is, the larger the area and the smaller the altitude of the selected basic drainage areas are, and the first basic proportion is set to be 60%.
The topography analysis strategy further comprises: dividing a hard surface real-time area and an underground drainage pipeline path in the terrain three-dimensional model into a second drainage area and a drainage line, wherein the drainage effect required by the second drainage area is good;
Sequencing the second drainage areas from large to small according to the area to obtain a second drainage area sequence, selecting the second drainage area with the first basic drainage proportion before in the second drainage area sequence as a drainage basic area, wherein the first basic drainage proportion is set to be 50%, and the larger the area of the hard surface is, the larger the water quantity which needs to be collected and drained is;
Setting a drainage line connecting two second drainage areas as a drainage foundation line, sequencing the drainage foundation lines according to the line length from large to small to obtain a drainage foundation line sequence, selecting the drainage foundation line with the proportion of a first line before the drainage foundation line sequence as a drainage demarcation line, setting the proportion of the first line as 80%, and setting the drainage foundation line to be too short to indicate that the distance between the two second drainage areas is too small, and draining water through the ground connected with the two second drainage areas, so that the too short drainage foundation line can be omitted;
The method comprises the steps that a drainage foundation area and a drainage demarcation line are corresponding to an urban drainage model, a plurality of drainage foundation areas are ordered from low altitude to high altitude to obtain a drainage foundation altitude sequence, a drainage foundation area with a first drainage proportion before the drainage foundation altitude sequence is selected as a drainage distribution area, when the method is implemented, the first drainage proportion can be set according to actual optimized resources, if the optimized resources capable of being allocated are sufficient, the first drainage proportion can be set to be larger, if the optimized resources capable of being allocated are insufficient, the first drainage proportion is set to be smaller, and particularly, the first drainage proportion is set to be 50%;
Obtaining the altitude at two ends of a drainage demarcation line through an urban drainage model, solving the difference of the altitude at two ends of the drainage demarcation line, setting the altitude difference as a drainage demarcation altitude difference, sequencing the drainage demarcation line from large to small according to the drainage demarcation altitude difference to obtain a drainage elevation difference demarcation sequence, selecting the drainage demarcation line with a second drainage proportion before the drainage elevation difference demarcation sequence as a drainage distribution line, setting the second drainage proportion as 30%, and if the drainage elevation difference is smaller, optimizing and monitoring the drainage process as the gravity action is smaller, and the drainage auxiliary acting force is larger;
And extracting a plurality of drainage distribution areas and a plurality of drainage distribution lines in the urban drainage model to form a drainage distribution model, wherein the area corresponding to the drainage distribution model is an optimized area.
The guide optimizing unit is used for carrying out guide optimization on urban drainage in the optimizing area and demarcating a drainage area to be optimized and a drainage line to be optimized; the guidance optimization unit is configured with a region center acquisition strategy, which includes: obtaining a plane contour of a city area, and dividing the plane contour of the city area into a plurality of square grids according to a first dividing ratio; setting a graph proportion of 1:500, wherein the first dividing proportion is set to be 2cm, and the actual distance is 10m represented by 2 cm;
setting squares falling on the plane contour of the urban area as first contour squares; setting a square adjacent to the first contour square as a second contour square; setting a square adjacent to the second contour square and far from one side of the first contour square as a third contour square;
removing the first contour square, the second contour square and the third contour square in the plane contour of the urban area, and setting the reserved square as the reserved square;
Setting the centers of a plurality of reserved square grids as reserved centers, setting the centers of a plurality of first contour square grids as first contour centers, setting the distance between the reserved centers and the first contour centers as reserved distances, and adding the reserved distances between the reserved centers and the reserved distances between the plurality of first contour centers to obtain reserved total distances;
respectively solving the reserved total distance between each reserved center and a plurality of first contour centers;
and selecting the minimum value of the plurality of reserved total distances, setting the minimum value as the reserved minimum total distance, setting the reserved center corresponding to the reserved minimum total distance as the regional reference center, and obtaining the regional reference center relatively close to the urban center line through acquiring the contour center line.
The boot optimization unit is further configured with a basic drainage analysis strategy comprising: dividing the basic drainage areas into a plurality of square grids according to a second dividing ratio, acquiring the centers of the square grids of the basic drainage areas, and setting the centers of the square grids as the centers of the basic drainage square grids; the first dividing ratio is set to be 2cm, the second dividing ratio is set according to 0.5cm, and the second dividing ratio is set to be smaller than the first dividing ratio because the foundation drainage area is only a part of the urban area;
respectively calculating the distance between the center of the basic drainage square lattice and the regional reference center, setting the distance as a basic drainage interval distance, and setting the minimum value in a plurality of basic drainage interval distances as an interval reference distance;
Respectively acquiring the interval reference distance of each basic drainage area, sequencing a plurality of interval reference distances from small to large to obtain an interval reference sequence, selecting the interval reference distance of a first interval proportion in the interval reference sequence as an interval selection distance, setting the basic drainage area corresponding to the interval selection distance as a basic drainage selection area, and setting the first interval proportion as 50%; the foundation drainage selection area selected by the mode can be closer to the central position of the urban area, the drainage force exerted is larger, and the reference of the drainage area can be provided for subsequent optimization.
The boot optimization unit is further configured with a boot optimization policy, the boot optimization policy comprising: dividing the plurality of drainage distribution areas into a plurality of grids according to a second dividing ratio, obtaining centers of the plurality of grids of the drainage distribution areas, and setting the centers of the plurality of grids as drainage distribution grid centers;
Respectively calculating the distance between the center of the drainage distribution square lattice and the regional reference center, setting the distance as drainage distribution interval distance, and setting the minimum value in the drainage distribution interval distances as drainage reference distance;
The method comprises the steps of respectively obtaining drainage reference distances of each drainage distribution area, sorting a plurality of drainage reference distances from small to large to obtain a drainage reference sequence, selecting the drainage reference distance of a first drainage reference proportion in the drainage reference sequence as a drainage selection distance, setting a drainage distribution area corresponding to the drainage selection distance as a drainage distribution selection area, setting the first drainage reference proportion as 50%, and normally, enabling corresponding drainage facilities to be older and old as the drainage distance is longer, enabling hard surfaces of cities to be more concentrated and enabling drainage effects to be worse;
Corresponding a plurality of drainage distribution selection areas and basic drainage selection areas to urban drainage models, and respectively solving the minimum grid intervals of the drainage distribution selection areas and the basic drainage selection areas; setting a drainage distribution selection area with the minimum square spacing larger than or equal to a first interval threshold value as a drainage area to be optimized; setting the first interval threshold to be 100, referring to the setting of the graph proportion of 1:500, wherein 10cm represents 500m, and if the minimum distance between the drainage distribution selection area and the basic drainage selection area is greater than or equal to the first interval threshold, the drainage sharing effect of the basic drainage selection area on the drainage distribution selection area is weak;
Judging whether a drainage distribution line exists in the to-be-optimized drainage area, and setting the drainage line of the to-be-optimized drainage area as the to-be-optimized drainage line when the drainage distribution line does not exist in the to-be-optimized drainage area.
The second embodiment of the application provides a water conservancy guiding optimization method for urban drainage, which comprises the following steps: step S10, obtaining topographic data and drainage distribution data of a city area from a city topographic database; wherein the terrain data comprises satellite images of the urban area;
step S20, establishing an urban drainage model according to the topographic data and drainage distribution data of the urban area; step S20 further comprises the following sub-steps:
Step S2011, acquiring satellite images of a plurality of marked urban areas, setting the satellite images as historical satellite images, wherein the historical satellite images comprise marked greening areas and hard surface areas, the hard surface areas comprise building areas and hard pavement areas, and the marked greening areas and the hard surface areas are respectively set as greening marking areas and hard surface marking areas;
Step 2012, gray scale treatment is carried out on the greening marking areas and the hard surface marking areas, gray scale values of a plurality of pixel points are respectively obtained from the greening marking areas, and the gray scale values are set as greening reference gray scales; respectively acquiring gray values of a plurality of pixel points from a plurality of hard surface marking areas, and setting the gray values as hard surface reference gray values;
step S2013, the average value of a plurality of greening reference gray scales is calculated, the average value is set as greening average gray scale, the average value of a plurality of hard surface reference gray scales is calculated, the average gray scale is set as hard surface average gray scale, the average value of greening average gray scale and hard surface average gray scale is calculated, and the urban area division gray scale is set.
Step S20 further includes: step S2021, acquiring a real-time satellite image of the urban area, and setting the real-time satellite image;
step S2022, carrying out gray scale processing on the real-time satellite image to obtain a real-time satellite gray scale image, taking the urban area division gray scale as the binary division gray scale of the real-time satellite gray scale image, and carrying out the binary processing on the real-time satellite gray scale image;
In step S2023, the white area after the binarization process is set as the hard surface real-time area, and the black area after the binarization process is set as the greening real-time area.
Step S20 further includes: step S2031, acquiring altitude in the topographic data of the urban area, and establishing a topographic three-dimensional model based on the altitude;
Step S2032, obtaining an underground drainage pipeline path in drainage distribution data of the urban area, performing position correspondence on the underground drainage pipeline path and the terrain three-dimensional model, and synchronizing the underground drainage pipeline path and the terrain three-dimensional model;
Step S2033, the hard surface real-time area and the greening real-time area of the urban area are corresponding to the terrain three-dimensional model in position, and are synchronized into the terrain three-dimensional model, and the synchronized terrain three-dimensional model is set as the urban drainage model.
Step S30, analyzing the urban drainage model to obtain drainage distribution conditions in the urban drainage model, and defining an optimized area; step S30 further comprises the sub-steps of: step S3011, setting a greening real-time area in the terrain three-dimensional model as a first drainage area;
step S3012, respectively setting the mutually separated areas in the first drainage areas as first single drainage areas, sequencing the first single drainage areas from large to small to obtain a demarcation area sequence, and selecting the first single drainage areas with the first single proportion in the demarcation area sequence as second single drainage areas;
step S3013, obtaining the altitude of the second single-chip drainage area according to the urban drainage model;
Step S3014, setting the maximum value of the altitude in the plurality of second single-sheet drainage areas as a first defined height, setting the minimum value of the altitude in the plurality of second single-sheet drainage areas as a second defined height, and setting the range from the second defined height to the first defined height as a defined area height section;
Step S3015, selecting a second single drainage area with a first base ratio from small to large in altitude in the delimited area altitude section as a base drainage area.
Step S30 further includes: step S3021, dividing a hard surface real-time area and an underground drainage pipeline path in the terrain three-dimensional model into a second drainage area and a drainage line;
step S3022, sorting the second drainage areas according to the area from large to small to obtain a second drainage area sequence, and selecting a second drainage area with a first basic drainage proportion before the second drainage area sequence as a drainage basic area;
step S3023, setting a drainage line connecting two second drainage areas as a drainage foundation line, sequencing the drainage foundation lines from large to small according to the line length to obtain a drainage foundation line sequence, and selecting the drainage foundation line with the proportion of the first line before the drainage foundation line sequence as a drainage demarcation line;
Step S3024, corresponding the drainage basal areas and the drainage demarcation lines to an urban drainage model, sorting a plurality of drainage basal areas from low altitude to high altitude to obtain a drainage basal elevation sequence, and selecting a drainage basal area with a first drainage proportion before the drainage basal elevation sequence as a drainage distribution area;
Step S3025, obtaining the altitude at two ends of a drainage demarcation line through an urban drainage model, obtaining the difference value of the altitude at two ends of the drainage demarcation line, setting the altitude difference as a drainage demarcation altitude difference, sequencing the drainage demarcation line from large to small according to the drainage demarcation altitude difference to obtain a drainage elevation difference demarcation sequence, and selecting the drainage demarcation line of a second drainage proportion before the drainage elevation difference demarcation sequence as a drainage distribution line;
In step S3026, a plurality of drainage distribution areas and a plurality of drainage distribution lines in the urban drainage model are extracted to form a drainage distribution model, wherein the area corresponding to the drainage distribution model is an optimized area.
Step S40, guiding and optimizing urban drainage in the optimized area, and defining a drainage area to be optimized and a drainage line to be optimized; step S40 further comprises the sub-steps of: step S4011, obtaining a plane outline of a city area, and dividing the plane outline of the city area into a plurality of square grids according to a first dividing ratio;
Step S4012, setting a grid falling on the planar contour of the urban area as a first contour grid; setting a square adjacent to the first contour square as a second contour square; setting a square adjacent to the second contour square and far from one side of the first contour square as a third contour square;
step S4013, eliminating the first contour square, the second contour square and the third contour square in the plane contour of the urban area, and setting the reserved square as the reserved square;
step S4014, setting the centers of the reserved squares as reserved centers, setting the centers of the first contour squares as first contour centers, setting the distance between the reserved centers and the first contour centers as reserved distances, and adding the reserved centers and the reserved distances of the first contour centers to obtain reserved total distances;
step S4015, respectively solving the reserved total distance between each reserved center and a plurality of first contour centers;
Step S4016, selecting the minimum value of the reserved total distances, setting the minimum reserved total distance, and setting the reserved center corresponding to the minimum reserved total distance as the regional reference center.
Step S40 further includes: step S4021, dividing a plurality of basic drainage areas into a plurality of grids according to a second dividing ratio, acquiring the centers of the grids of the basic drainage areas, and setting the centers of the grids as basic drainage grids;
step S4022, respectively calculating the distance between the center of the basic drainage square lattice and the reference center of the region, setting the distance as a basic drainage interval distance, and setting the minimum value in a plurality of basic drainage interval distances as an interval reference distance;
Step S4023, respectively obtaining the interval reference distances of each basic drainage area, sorting the interval reference distances from small to large to obtain an interval reference sequence, selecting the interval reference distance of the first interval proportion before in the interval reference sequence as an interval selection distance, and setting the basic drainage area corresponding to the interval selection distance as a basic drainage selection area.
Step S40 includes: step S4031, dividing the plurality of drainage distribution areas into a plurality of grids according to a second dividing ratio, obtaining centers of the plurality of grids of the drainage distribution areas, and setting the centers of the plurality of grids as drainage distribution grid centers;
Step S4032, respectively calculating the distance between the center of the drainage distribution square and the regional reference center, setting the distance as drainage distribution interval distance, and setting the minimum value in the drainage distribution interval distance as drainage reference distance;
Step S4033, obtaining the drainage reference distance of each drainage distribution area, sorting a plurality of drainage reference distances from small to large to obtain a drainage reference sequence, selecting the drainage reference distance of the first drainage reference proportion in the drainage reference sequence as a drainage selection distance, and setting the drainage distribution area corresponding to the drainage selection distance as a drainage distribution selection area;
step S4034, corresponding a plurality of drainage distribution selection areas and basic drainage selection areas to the urban drainage model, and respectively solving the minimum square intervals of the drainage distribution selection areas and the basic drainage selection areas; setting a drainage distribution selection area with the minimum square spacing larger than or equal to a first interval threshold value as a drainage area to be optimized;
and step S4035, judging whether a drainage distribution line exists in the to-be-optimized drainage area, and setting the drainage line of the to-be-optimized drainage area as the to-be-optimized drainage line when the drainage distribution line does not exist in the to-be-optimized drainage area.
Third embodiment the present application also provides a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of any of the methods described above. By the above technical solution, the computer program, when executed by the processor, performs the method in any of the alternative implementations of the above embodiments to implement the following functions: obtaining topographic data and drainage distribution data of a city area from a city topographic database; establishing an urban drainage model according to the topographic data and drainage distribution data of the urban area; analyzing the urban drainage model to obtain drainage distribution conditions in the urban drainage model, and defining an optimization area; and (3) carrying out guiding optimization on urban drainage in the optimized area, and demarcating the drainage area to be optimized and the drainage line to be optimized.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied therein. The storage medium may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as static random access Memory (Static Random Access Memory, SRAM), electrically erasable Programmable Read-Only Memory (ELECTRICALLY ERASABLE PROGRAMMABLE READ-Only Memory, EEPROM), erasable Programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), programmable Read-Only Memory (PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be other manners of division in actual implementation, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
Claims (7)
1. A water conservancy guiding optimization method for urban drainage is characterized by comprising the following steps: obtaining topographic data and drainage distribution data of a city area from a city topographic database;
establishing an urban drainage model according to the topographic data and drainage distribution data of the urban area;
analyzing the urban drainage model to obtain drainage distribution conditions in the urban drainage model, and defining an optimization area;
Carrying out guiding optimization on urban drainage in the optimized area, and defining a drainage area to be optimized and a drainage line to be optimized;
the method for guiding and optimizing urban drainage in the optimized area, the demarcating of the drainage area to be optimized and the drainage line to be optimized comprise the following steps: obtaining a plane contour of a city area, and dividing the plane contour of the city area into a plurality of square grids according to a first dividing ratio;
setting squares falling on the plane contour of the urban area as first contour squares; setting a square adjacent to the first contour square as a second contour square; setting a square adjacent to the second contour square and far from one side of the first contour square as a third contour square;
removing the first contour square, the second contour square and the third contour square in the plane contour of the urban area, and setting the reserved square as the reserved square;
Setting the centers of a plurality of reserved square grids as reserved centers, setting the centers of a plurality of first contour square grids as first contour centers, setting the distance between the reserved centers and the first contour centers as reserved distances, and adding the reserved distances between the reserved centers and the reserved distances between the plurality of first contour centers to obtain reserved total distances;
respectively solving the reserved total distance between each reserved center and a plurality of first contour centers;
selecting the minimum value of a plurality of reserved total distances, setting the minimum value as the reserved minimum total distance, and setting a reserved center corresponding to the reserved minimum total distance as a regional reference center;
the method for guiding and optimizing urban drainage in the optimized area is characterized by defining the drainage area to be optimized and the drainage line to be optimized, and further comprising: dividing the basic drainage areas into a plurality of square grids according to a second dividing ratio, acquiring the centers of the square grids of the basic drainage areas, and setting the centers of the square grids as the centers of the basic drainage square grids;
respectively calculating the distance between the center of the basic drainage square lattice and the regional reference center, setting the distance as a basic drainage interval distance, and setting the minimum value in a plurality of basic drainage interval distances as an interval reference distance;
Respectively acquiring the interval reference distance of each basic drainage area, sequencing a plurality of interval reference distances from small to large to obtain an interval reference sequence, selecting the interval reference distance of a first interval proportion in the interval reference sequence as an interval selection distance, and setting the basic drainage area corresponding to the interval selection distance as a basic drainage selection area;
The method for guiding and optimizing urban drainage in the optimized area is characterized by defining the drainage area to be optimized and the drainage line to be optimized, and further comprising: dividing the plurality of drainage distribution areas into a plurality of grids according to a second dividing ratio, obtaining centers of the plurality of grids of the drainage distribution areas, and setting the centers of the plurality of grids as drainage distribution grid centers;
Respectively calculating the distance between the center of the drainage distribution square lattice and the regional reference center, setting the distance as drainage distribution interval distance, and setting the minimum value in the drainage distribution interval distances as drainage reference distance;
The method comprises the steps of respectively obtaining the drainage reference distance of each drainage distribution area, sorting a plurality of drainage reference distances from small to large to obtain a drainage reference sequence, selecting the drainage reference distance of a first drainage reference proportion in the drainage reference sequence as a drainage selection distance, and setting the drainage distribution area corresponding to the drainage selection distance as a drainage distribution selection area;
corresponding a plurality of drainage distribution selection areas and basic drainage selection areas to urban drainage models, and respectively solving the minimum grid intervals of the drainage distribution selection areas and the basic drainage selection areas; setting a drainage distribution selection area with the minimum square spacing larger than or equal to a first interval threshold value as a drainage area to be optimized;
Judging whether a drainage distribution line exists in the to-be-optimized drainage area, and setting the drainage line of the to-be-optimized drainage area as the to-be-optimized drainage line when the drainage distribution line does not exist in the to-be-optimized drainage area.
2. The water conservancy diversion optimization method for urban drainage according to claim 1, wherein the terrain data comprises satellite images of urban areas;
Establishing the urban drainage model according to the topographic data and the drainage distribution data of the urban area comprises the following steps: acquiring satellite images of a plurality of marked urban areas, setting the satellite images as historical satellite images, wherein the historical satellite images comprise marked greening areas and hard surface areas, and setting the marked greening areas and the hard surface areas as greening marking areas and hard surface marking areas respectively;
Carrying out gray scale treatment on the greening marking areas and the hard surface marking areas, respectively obtaining gray scale values of a plurality of pixel points from the greening marking areas, and setting the gray scale values as greening reference gray scales; respectively acquiring gray values of a plurality of pixel points from a plurality of hard surface marking areas, and setting the gray values as hard surface reference gray values;
The average value of a plurality of greening reference gray scales is calculated, the average value is set as greening average gray scales, the average value of a plurality of hard surface reference gray scales is calculated, the average gray scales are set as hard surface average gray scales, the average value of greening average gray scales and hard surface average gray scales is calculated, and the average value is set as urban area division gray scales;
acquiring a real-time satellite image of a city area, and setting the real-time satellite image;
Carrying out graying treatment on the real-time satellite image to obtain a real-time satellite gray image, taking the urban area division gray as the binarization division gray of the real-time satellite gray image, and carrying out binarization treatment on the real-time satellite gray image;
the white area after binarization is set as a hard surface real-time area, and the black area after binarization is set as a greening real-time area.
3. The water conservancy diversion optimization method for urban drainage according to claim 2, wherein building the urban drainage model from the terrain data and drainage distribution data of the urban area further comprises: acquiring the altitude in the topographic data of the urban area, and establishing a topographic three-dimensional model based on the altitude;
acquiring an underground drainage pipeline path in drainage distribution data of an urban area, performing position correspondence on the underground drainage pipeline path and a terrain three-dimensional model, and synchronizing the underground drainage pipeline path and the terrain three-dimensional model;
and (3) carrying out position correspondence on the hard surface real-time area and the greening real-time area of the urban area and the terrain three-dimensional model, synchronizing the hard surface real-time area and the greening real-time area into the terrain three-dimensional model, and setting the synchronized terrain three-dimensional model as an urban drainage model.
4. The water conservancy diversion optimization method for urban drainage according to claim 3, wherein analyzing the urban drainage model to obtain drainage distribution in the urban drainage model, and defining the optimization area comprises: setting a greening real-time area in the terrain three-dimensional model as a first drainage area;
The method comprises the steps of setting mutually separated areas in a first drainage area as first single drainage areas respectively, sequencing the first single drainage areas from large to small to obtain a demarcation area sequence, and selecting a first single drainage area with a first single proportion in the demarcation area sequence as a second single drainage area;
acquiring the altitude of a second single drainage area according to the urban drainage model;
Setting the maximum value of the altitude in the plurality of second single-piece drainage areas as a first demarcation height, setting the minimum value of the altitude in the plurality of second single-piece drainage areas as a second demarcation height, and setting the range between the second demarcation height and the first demarcation height as a demarcation area height interval;
And selecting a second single drainage area with a first basic proportion from small to large in altitude in the altitude interval of the delimited area as a basic drainage area.
5. The water conservancy diversion optimization method for urban drainage according to claim 4, wherein analyzing the urban drainage model to obtain drainage distribution in the urban drainage model, and defining the optimization area further comprises: dividing a hard surface real-time area and an underground drainage pipeline path in the terrain three-dimensional model into a second drainage area and a drainage line;
Sequencing the second drainage areas from large to small according to the area to obtain a second drainage area sequence, and selecting the second drainage area with the first basic drainage proportion before in the second drainage area sequence as a drainage basic area;
Setting drainage lines connecting two second drainage areas as drainage foundation lines, sequencing the drainage foundation lines according to the line length from large to small to obtain a drainage foundation line sequence, and selecting the drainage foundation lines with the proportion of the first line before the drainage foundation line sequence as drainage demarcation lines;
The method comprises the steps of corresponding a drainage foundation area and a drainage demarcation line to an urban drainage model, sequencing a plurality of drainage foundation areas from low altitude to high altitude to obtain a drainage foundation elevation sequence, and selecting a drainage foundation area with a first drainage proportion before the drainage foundation elevation sequence as a drainage distribution area;
Acquiring the altitudes of two ends of a drainage demarcation line through an urban drainage model, solving the difference value of the altitudes of the two ends of the drainage demarcation line, setting the difference value as a drainage demarcation altitude difference, sequencing the drainage demarcation line from large to small according to the drainage demarcation altitude difference to obtain a drainage elevation difference demarcation sequence, and selecting the drainage demarcation line with a second drainage proportion before the drainage elevation difference demarcation sequence as a drainage distribution line;
And extracting a plurality of drainage distribution areas and a plurality of drainage distribution lines in the urban drainage model to form a drainage distribution model, wherein the area corresponding to the drainage distribution model is an optimized area.
6. A water conservancy diversion optimization system for urban drainage, implementing the water conservancy diversion optimization method for urban drainage as claimed in any one of claims 1-5, comprising: the system comprises an urban terrain database, a drainage distribution analysis module and a guide optimization module; the urban terrain database stores terrain data and drainage distribution data of urban areas;
the drainage distribution analysis module is used for establishing an urban drainage model according to the topographic data and the drainage distribution data of the urban area;
The guiding optimization module comprises a terrain analysis unit and a guiding optimization unit; the terrain analysis unit is used for analyzing the urban drainage model to obtain drainage distribution conditions in the urban drainage model and define an optimization area; the guide optimizing unit is used for guiding and optimizing urban drainage in the optimizing area and demarcating a drainage area to be optimized and a drainage line to be optimized.
7. A storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method according to any of claims 1-5.
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2014139373A (en) * | 2013-01-21 | 2014-07-31 | Kanai Educational Institution | Urban flood alleviation system |
CN107967402A (en) * | 2017-12-22 | 2018-04-27 | 中国水利水电科学研究院 | A kind of Design and analysis methods of urban waterlogging removal system |
CN116643328A (en) * | 2023-04-20 | 2023-08-25 | 福建华网信息科技有限公司 | Urban waterlogging forecasting method based on network forecasting |
CN117012004A (en) * | 2023-08-07 | 2023-11-07 | 正元地理信息集团股份有限公司 | Urban waterlogging risk early warning method and system |
CN117236673A (en) * | 2023-11-16 | 2023-12-15 | 水利部交通运输部国家能源局南京水利科学研究院 | Urban water network multi-scale flood control and drainage combined optimization scheduling method and system |
-
2024
- 2024-01-29 CN CN202410119164.XA patent/CN117649058B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2014139373A (en) * | 2013-01-21 | 2014-07-31 | Kanai Educational Institution | Urban flood alleviation system |
CN107967402A (en) * | 2017-12-22 | 2018-04-27 | 中国水利水电科学研究院 | A kind of Design and analysis methods of urban waterlogging removal system |
CN116643328A (en) * | 2023-04-20 | 2023-08-25 | 福建华网信息科技有限公司 | Urban waterlogging forecasting method based on network forecasting |
CN117012004A (en) * | 2023-08-07 | 2023-11-07 | 正元地理信息集团股份有限公司 | Urban waterlogging risk early warning method and system |
CN117236673A (en) * | 2023-11-16 | 2023-12-15 | 水利部交通运输部国家能源局南京水利科学研究院 | Urban water network multi-scale flood control and drainage combined optimization scheduling method and system |
Non-Patent Citations (1)
Title |
---|
区域划分对昌北工业园区的排水防涝技术的优化研究;肖存艳;傅春;付耀宗;;中国农村水利水电;20200615(06);di 33-41页 * |
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