A distribution network spatial layout evaluation method and device based on GIS

Abstract

The present application provides a method and device for evaluating the spatial layout of a distribution network frame based on GIS. First, a geographical wiring diagram of a distribution network frame, a city street map, and a city built-up area map are obtained; then, the diagram is used as input, and the box dimension and coverage depth of the distribution network frame, the box dimension and coverage depth of the city streets, and the weighted box dimension of the city built-up area are calculated according to a preset calculation model; then, the box dimensions of the distribution network frame and the city streets are compared and calculated to obtain the consistency between the city streets and the distribution network frame; the weighted box dimension is compared and calculated with the box dimension of the distribution network frame to obtain the weighted consistency between the city built-up area and the distribution network frame considering the land load; finally, the box dimension and coverage depth of the distribution network frame, the consistency between the city streets and the distribution network frame, the coverage depth of the city streets, and the weighted consistency are used as five evaluation indicators to comprehensively consider and evaluate the spatial layout of the distribution network frame to obtain a comprehensive evaluation result of the spatial layout of the distribution network frame.

Description

Technical Field

[0001] The present application relates to the technical field of distribution network planning, and in particular, to a distribution network grid spatial layout evaluation method and device based on GIS. Background Art

[0002] With the development of society, the demand for electricity is growing, and the scale of the power network is getting larger and more complex. From the perspective of the grid, the complexity of the distribution network will lead to the problem of mismatch between power supply capacity and demand. Therefore, it is necessary to explore the complexity of the distribution network at the spatial layout level, evaluate the network and put forward suggestions for improving the network spatial structure, which is also conducive to the in-depth integration of distribution network planning and national land space planning.

[0003] National land space planning is a planning system that integrates spatial planning such as main functional area planning, land use planning, and urban and rural planning. In the existing published documents, it is required to cooperate in the comprehensive integration of power grid planning into national land space planning. The document specifically points out that: the establishment of a national land space planning system is conducive to ensuring the implementation of power grid planning, reducing the difficulty of engineering construction coordination, and promoting the coordinated development of sources, networks, loads and storage; the document requires to improve the depth of power grid planning content, carry out spatial layout planning of power facilities and continue to deepen the gridding of distribution networks; at the same time, it is necessary to connect various natural resources departments, cooperate with government planning departments, and reasonably select substation sites and line corridors. In this context, it is of great significance to carry out research on the spatial layout of distribution networks.

[0004] The traditional grid planning and evaluation method mainly establishes indicators that reflect the reliability, vulnerability, safety, economy, environmental protection and other aspects of the grid operation to achieve a comprehensive evaluation of the grid. However, these classic evaluation indicators do not involve the evaluation of the distribution network spatial layout. The quality of the grid spatial layout mainly depends on the experience of the planners, and it is impossible to make a reasonable evaluation of the distribution network grid spatial layout. Summary of the invention

[0005] In view of the problems mentioned above, this application provides a GIS-based distribution network grid spatial layout evaluation method and device to reasonably evaluate the distribution network grid spatial layout and prepare for the comprehensive integration of power grid planning into national land space planning.

[0006] In order to achieve the above objectives, this application provides the following technical solutions:

[0007] A GIS-based distribution network spatial layout evaluation method includes:

[0008] Obtain the geographical wiring diagram of the distribution network, the city street map and the urban built-up area map;

[0009] Taking the distribution network grid geographical wiring diagram, the city street map and the urban built-up area map as input, the box dimension and coverage depth of the distribution network grid, the box dimension and coverage depth of the urban streets and the weighted box dimension of the urban built-up area are calculated according to a preset calculation model;

[0010] Compare and calculate the box dimensions of the distribution network frame and the city street to obtain the consistency between the city street and the distribution network frame; compare and calculate the weighted box dimension with the box dimension of the distribution network frame to obtain the weighted consistency between the urban built-up area and the distribution network frame considering the land load;

[0011] The box dimension of the distribution network grid, the coverage depth of the distribution network grid, the consistency between the urban streets and the distribution network grid, the coverage depth of the urban streets and the weighted consistency between the urban built-up area and the distribution network grid are taken as five evaluation indicators, and the spatial layout of the distribution network grid is evaluated by comprehensive consideration to obtain a comprehensive evaluation result of the spatial layout of the distribution network grid.

[0012] A GIS-based distribution network spatial layout evaluation device, comprising:

[0013] The first processing unit is used to obtain a distribution network grid geographical wiring diagram, a city street map and a city built-up area map;

[0014] The second processing unit is used to take the distribution network grid geographical wiring diagram, the city street map and the urban built-up area map as input, and calculate the box dimension and coverage depth of the distribution network grid, the box dimension and coverage depth of the urban streets and the weighted box dimension of the urban built-up area according to a preset calculation model;

[0015] The third processing unit is used to compare and calculate the box dimensions of the distribution network frame and the urban street to obtain the consistency between the urban street and the distribution network frame; compare and calculate the weighted box dimension with the box dimension of the distribution network frame to obtain the weighted consistency between the urban built-up area and the distribution network frame considering the land load;

[0016] The fourth processing unit is used to use the box dimension of the distribution network frame, the coverage depth of the distribution network frame, the consistency between the urban streets and the distribution network frame, the coverage depth of the urban streets and the weighted consistency between the urban built-up area and the distribution network frame as five evaluation indicators, comprehensively consider and evaluate the spatial layout of the distribution network frame, and obtain a comprehensive evaluation result of the spatial layout of the distribution network frame.

[0017] A storage medium includes a stored program, wherein when the program is run, the device where the storage medium is located is controlled to execute the GIS-based distribution network spatial layout evaluation method as described above.

[0018] An electronic device, comprising at least one processor, and at least one memory and a bus connected to the processor; wherein the processor and the memory communicate with each other via the bus; and the processor is used to call program instructions in the memory to execute the GIS-based distribution network spatial layout evaluation method as described above.

[0019] The GIS-based distribution network spatial layout evaluation method and device described in the present application first obtains a distribution network geographical wiring diagram, a city street map, and a city built-up area map; then uses the distribution network geographical wiring diagram, the city street map, and the city built-up area map as input, and calculates the box dimension and coverage depth of the distribution network, the box dimension and coverage depth of the city streets, and the weighted box dimension of the city built-up area according to a preset calculation model; then compares and calculates the box dimensions of the distribution network and the city streets, and obtains the weighted box dimension of the city streets. The consistency between the urban streets and the distribution network grid; the weighted box dimension is compared and calculated with the box dimension of the distribution network grid to obtain the weighted consistency between the urban built-up area and the distribution network grid considering the land load; finally, the box dimension of the distribution network grid, the coverage depth of the distribution network grid, the consistency between the urban streets and the distribution network grid, the coverage depth of the urban streets and the weighted consistency between the urban built-up area and the distribution network grid are used as five evaluation indicators to comprehensively consider the spatial layout of the distribution network grid and obtain the comprehensive evaluation result of the spatial layout of the distribution network grid.

[0020] This application aims at the need for deep integration of distribution network planning with national land space planning, and the need for the spatial layout of distribution network grid to take into account its coordination with the spatial loads of different land uses. It uses the characteristics of the spatial layout of the grid quantified by fractal dimensions to achieve a comprehensive assessment of the spatial layout of the distribution network grid, and to prepare for the comprehensive inclusion of power grid planning into national land space planning. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the embodiments of the present application 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 application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0022] Figure 1 A schematic diagram of a flow chart of a method for evaluating the spatial layout of a distribution network based on GIS disclosed in an embodiment of the present application;

[0023] Figure 2 A schematic diagram of a specific process of a GIS-based distribution network spatial layout evaluation method disclosed in an embodiment of the present application;

[0024] Figure 3 The geographical wiring diagram of the 10kV distribution network in City D disclosed in the embodiment of the present application;

[0025] Figure 4 The street map of city D disclosed in the embodiment of the present application;

[0026] Figure 5 The urban built-up area map of city D disclosed in the embodiment of this application;

[0027] Figure 6 The box function fitting curve diagram of the distribution network frame in City D and the box function fitting curve diagram of the urban street in the embodiment of the present application are disclosed;

[0028] Figure 7 The weighted box function fitting curve diagram of the urban built-up area of ​​City D disclosed in the embodiment of the present application;

[0029] Figure 8 A schematic diagram of the structure of a GIS-based distribution network spatial layout evaluation device disclosed in an embodiment of the present application;

[0030] Fig. 9 A schematic diagram of the structure of an electronic device disclosed in an embodiment of the present application. DETAILED DESCRIPTION

[0031] In view of the fact that distribution network planning needs to be deeply integrated with national land space planning in the background technology, and the spatial layout of the distribution network grid needs to take into account its coordination with the spatial loads of different land uses, the present application provides a GIS-based distribution network grid spatial layout evaluation method and device, which utilizes the characteristics of the grid spatial layout quantified by fractal dimensions to achieve a comprehensive evaluation of the distribution network grid spatial layout, and prepare for the comprehensive inclusion of power grid planning into national land space planning.

[0032] This application inputs the geographical wiring diagram of the distribution network to be evaluated, the city street map, and the urban built-up area map, solves the five index values ​​of the distribution network box dimension, the distribution network coverage depth, the consistency between the urban streets and the distribution network, the urban street coverage depth, and the weighted consistency between the urban built-up area and the distribution network, analyzes the indicators and outputs the comprehensive evaluation results.

[0033] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0034] Please see attached Figure 1 , is a flow chart of a method for evaluating the spatial layout of a distribution network based on GIS provided in an embodiment of the present application. Figure 1 As shown, the embodiment of the present application provides a distribution network spatial layout evaluation method based on GIS, and the method includes the following steps:

[0035] S101: Obtain a distribution network geographical wiring diagram, a city street map, and a city built-up area map;

[0036] It should be noted that the embodiment of the present application is used for evaluating the spatial layout of the 10kV distribution network in City D based on GIS. The geographical wiring diagram of the distribution network in City D is as follows: Figure 3 As shown in the figure, the city street map is as follows Figure 4 As shown in the figure, the urban built-up area is Figure 5 shown.

[0037] S102: Taking the distribution network grid geographical wiring diagram, the city street diagram and the urban built-up area diagram as input, the box dimension and coverage depth of the distribution network grid, the box dimension and coverage depth of the urban streets and the weighted box dimension of the urban built-up area are calculated according to a preset calculation model;

[0038] In the embodiment of the present application, the above-mentioned distribution network grid geographical wiring diagram is used as input, and the box dimension and coverage depth of the distribution network grid are calculated according to the preset calculation model, specifically:

[0039] The distribution network grid geographical wiring diagram is grayed and binarized, and the box dimension and coverage depth of the distribution network grid are calculated based on a box dimension algorithm.

[0040] In a specific embodiment, Figure 2 As shown, the above-mentioned grayscale and binarization processing is performed on the distribution network grid geographical wiring diagram, and the box dimension and coverage depth of the distribution network grid are calculated based on the box dimension algorithm, specifically:

[0041] The distribution network grid geographic wiring diagram is read into matlab for grayscale and binarization processing, and the image is completed with the smallest integer power of 2 that is higher than the long side of the image as the side length, and the redundant part is replaced by blank pixels to generate a pixel matrix;

[0042] Select the bisection sequence l i =2 i (i=1,2,...) The pixel matrix is ​​segmented into square boxes, and the number of squares with edges passing through is counted, that is, the number of squares whose matrix elements are not all empty is obtained to obtain a series of box sizes l i And the number of boxes N i , in the double logarithmic coordinate system (log2(N i )-log2(l i ))Plot each data point;

[0043] The linear regression analysis is performed by least squares method to fit the absolute value of the slope of the straight line, which is the box dimension D of the distribution network frame. G ;

[0044] The difference value between two adjacent observation points is used to represent the corresponding difference box dimension. Right D G (l i ) Linear fitting inverse solution D G =1.585 corresponding to l i As the coverage depth of the distribution network frame h G , where: l i and l i-1 Respectively represent the side lengths of the square boxes corresponding to the i-th and i-1-th sample points, N(l i ) and N(l i-1 ) represent the corresponding number of boxes, D G (l i ) is the difference box dimension corresponding to the i-th sample point.

[0045] It should be noted that the box dimension can quantitatively describe the uniformity of the distribution network. In the field of transportation networks, the optimal value of the morphological dimension is around 1.7. When the box dimension is higher than the ideal value of 1.7, it means that the distribution network is more evenly distributed, the coverage is better, and it can supply power to more dispersed urban land; when the box dimension is lower than the ideal value of 1.7, it means that the power supply area in the region is relatively concentrated, the corridor resources are unevenly utilized, there are areas with sparse lines, and there may be local areas with insufficient power supply capacity. In further grid planning, the corridor resources here can be fully utilized. The coverage depth can reflect how many distances there is a line. The smaller the coverage depth, the smaller the average distance between the lines and the relatively dense distribution.

[0046] In the embodiment of the present application, the above-mentioned city street map is used as input, and the box dimension and coverage depth of the city streets are calculated according to the preset calculation model, specifically:

[0047] The city street map is grayed and binarized, and the box dimension and coverage depth of the city streets are calculated based on a box dimension algorithm.

[0048] In a specific embodiment, Figure 2 As shown, the above-mentioned grayscale and binarization processing is performed on the city street map, and the box dimension and coverage depth of the city streets are calculated based on the box dimension algorithm, specifically:

[0049] The city street map is read into matlab for grayscale and binarization processing, and the image is complemented with the smallest integer power of 2 greater than the long side of the image, and the redundant part is replaced with blank pixels to generate a pixel matrix;

[0050] Select the bisection sequence l i =2 i (i=1,2,...) The pixel matrix is ​​segmented into square boxes, and the number of squares with edges passing through is counted, that is, the number of squares whose matrix elements are not all empty is obtained to obtain a series of box sizes l i And the number of boxes N i , in the double logarithmic coordinate system (log2(N i )-log2(l i ))Plot each data point;

[0051] The linear regression analysis is performed using the least squares method to fit the absolute value of the slope of the straight line, which is the box dimension D of the city street. R ;

[0052] The difference value between two adjacent observation points is used to represent the corresponding difference box dimension. Right D R (l i ) Linear fitting inverse solution D R =1.585 corresponding to l i As the coverage depth of the distribution network frame h R , where: l i and l i-1 Respectively represent the side lengths of the square boxes corresponding to the i-th and i-1-th sample points, N(l i ) and N(l i-1 ) represent the corresponding number of boxes, D R (l i ) is the difference box dimension corresponding to the i-th sample point.

[0053] In the embodiment of the present application, the role of the urban power distribution network is to supply power to each land use area, and the spatial distribution of the distribution network is closely related to the urban built-up area based on the land use. When calculating the box dimension of the urban built-up area, the difference in the nature of the land use needs to be considered. Different land uses have different requirements for the power supply capacity of the grid. Therefore, when graying the urban built-up area map, the gray value of each pixel should be set to the size of the load density value of the plot where the pixel is located. When counting non-empty boxes, it is necessary to add a weight based on the load density value to the number of boxes, and the weight size is shown in the formula.

[0054]

[0055] In the formula, s i,j represents the value of the i-th row and j-th column in the pixel matrix (i.e., the corresponding load density value), and the denominator represents the total load value contained in the box; s maxIt represents the maximum load density in the whole area and is used for normalization of load density. sgn represents the sign function, and the corresponding term represents the total area of ​​the non-empty part of the box.

[0056] After adding weights to the boxes, the same method is used to calculate the weighted box dimension D of the urban built-up area based on the load density value. B .

[0057] S103: Compare and calculate the box dimensions of the distribution network frame and the city street to obtain the consistency between the city street and the distribution network frame; compare and calculate the weighted box dimension with the box dimension of the distribution network frame to obtain the weighted consistency between the urban built-up area and the distribution network frame considering the land load;

[0058] In the embodiment of the present application, the consistency formula between the urban streets and the distribution network frame is as follows:

[0059]

[0060] It should be noted that urban streets, as existing corridors in the planning, are an important part of the grid corridor resources. The grid layout will rely on urban streets. In theory, the distribution network and the corresponding streets should have similar spatial forms. road / grid When it is close to 1, it means that the distribution network frame and the urban streets have a similar shape, the distribution network frame has a good coverage, and is in a balanced development stage relative to the urban streets; β road / grid When β>1, it means that the distribution network planning is not balanced, the coverage is poor, and it is underdeveloped compared to urban streets; road / grid When it is less than 1, it indicates that the distribution network is overdeveloped relative to the urban streets. The coverage depth of the distribution network and the urban streets can be considered together to assess the density and disorder of the distribution network at the block level. G =h R When , it indicates that the line coverage in this area is good; h G <h R When , it means that the line distribution in this area is relatively sparse, and the density of the lines needs to be improved; h G >h R This indicates that the lines in the area are relatively densely distributed and there is a situation of overdevelopment.

[0061] In the embodiment of the present application, the weighted consistency formula between the urban built-up area and the distribution network grid is as follows:

[0062]

[0063] It should be noted that when β built / gridWhen it is close to 1, it means that the distribution network grid is similar to the urban built-up area, the distribution network grid coverage is good, and it is in a balanced development stage relative to the urban built-up area; β built / grid When β>1, it means that the distribution network planning is not balanced, the coverage is poor, and there is a lack of development compared with the urban built-up area; built / grid When it is greater than 1, it indicates that the distribution network is overdeveloped relative to the urban built-up area.

[0064] S104: Taking the box dimension of the distribution network grid, the coverage depth of the distribution network grid, the consistency between the urban streets and the distribution network grid, the coverage depth of the urban streets and the weighted consistency between the urban built-up area and the distribution network grid as five evaluation indicators, a comprehensive evaluation of the spatial layout of the distribution network grid is performed to obtain a comprehensive evaluation result of the spatial layout of the distribution network grid.

[0065] In a specific embodiment, according to the solution of the index value described in the invention content, the box function fitting curve of the distribution network frame of city D and the box function fitting curve of the urban street are as follows: Figure 6 As shown, the distribution network box function D G =1.32, coverage depth h G =726m, urban street box function D R =1.74, coverage depth h R =128m, consistency between urban streets and distribution network frame β road / grid =1.32. The weighted box function fitting curve of urban built-up areas is as follows Figure 7 As shown, the weighted box function D of the urban built-up area B =1.73, weighted consistency between urban built-up areas and distribution network framework β built / grid =1.31.

[0066] Analyze the index values ​​according to the invention content:

[0067] (1) Distribution network box function D G <1.7, indicating that the power supply area in the region is relatively concentrated, the utilization of corridor resources is uneven, there are areas with sparse lines, and there may be local areas with insufficient power supply capacity. In further grid planning, the corridor resources here can be fully utilized.

[0068] (2) The consistency between urban streets and distribution network β road / grid >1, indicating that the distribution network planning is not balanced, the coverage is poor, and it is underdeveloped compared to urban streets.

[0069] (3) Distribution network coverage depth h G >h R , indicating that the lines in this area are relatively sparsely distributed.

[0070] (4) Weighted consistency between urban built-up areas and distribution network framework β built / grid >1. The distribution network planning is not balanced enough, the coverage is poor, and it is underdeveloped compared to the urban built-up areas.

[0071] Based on the analysis results of various indicators, a comprehensive assessment result of the distribution network in City D is obtained: the power supply area in the region is relatively concentrated, the utilization of corridor resources is uneven, there are areas with sparse lines and poor coverage, and there may be local areas with insufficient power supply capacity. The region is in an underdeveloped state and needs to increase the density of lines to improve power supply capacity.

[0072] In the embodiments of the present application, the fractal dimension analysis method in the network-related field is innovatively applied to the evaluation of the distribution network, and the distribution network planning is evaluated from the new level of the spatial layout of the distribution network grid. The characteristics of the grid spatial distribution quantified by the fractal dimension are also used to provide specific indicators for the grid spatial layout evaluation, and to provide a more intuitive and feasible evaluation method and a clearer planning direction for the distribution network grid planning. In addition, in the evaluation process, geographic information is fully considered, including the power supply demand of different plots, and the consistency of the distribution network grid and urban roads and urban land is analyzed based on the box dimension, which is conducive to the deep integration of distribution network planning and national land space planning.

[0073] The embodiment of the present application provides a GIS-based distribution network grid spatial layout evaluation method, which first obtains a distribution network grid geographical wiring diagram, a city street map, and a city built-up area map; then uses the distribution network grid geographical wiring diagram, the city street map, and the city built-up area map as input, and calculates the box dimension and coverage depth of the distribution network grid, the box dimension and coverage depth of the city streets, and the weighted box dimension of the city built-up area according to a preset calculation model; then compares and calculates the box dimensions of the distribution network grid and the city streets, and obtains the weighted box dimension of the city built-up area. The consistency between the street and the distribution network grid; the weighted box dimension is compared and calculated with the box dimension of the distribution network grid to obtain the weighted consistency between the urban built-up area and the distribution network grid considering the land load; finally, the box dimension of the distribution network grid, the coverage depth of the distribution network grid, the consistency between the urban streets and the distribution network grid, the coverage depth of the urban streets and the weighted consistency between the urban built-up area and the distribution network grid are used as five evaluation indicators to comprehensively consider the spatial layout of the distribution network grid and obtain the comprehensive evaluation result of the spatial layout of the distribution network grid.

[0074] The embodiments of the present application aim at the need for deep integration of distribution network planning with national land space planning, and the need for the spatial layout of the distribution network grid to take into account its coordination with the spatial loads of different land uses. The characteristics of the spatial layout of the grid quantified by fractal dimensions are used to achieve a comprehensive evaluation of the spatial layout of the distribution network grid, so as to prepare for the comprehensive inclusion of power grid planning into national land space planning.

[0075] See also Figure 8Based on the GIS-based distribution network grid spatial layout evaluation method disclosed in the above embodiment, this embodiment correspondingly discloses a GIS-based distribution network grid spatial layout evaluation device, which includes:

[0076] The first processing unit 801 is used to obtain a distribution network geographical wiring diagram, a city street map and a city built-up area map;

[0077] The second processing unit 802 is used to take the distribution network grid geographical wiring diagram, the city street map and the urban built-up area map as input, and calculate the box dimension and coverage depth of the distribution network grid, the box dimension and coverage depth of the urban streets and the weighted box dimension of the urban built-up area according to a preset calculation model;

[0078] The third processing unit 803 is used to compare and calculate the box dimensions of the distribution network frame and the urban street to obtain the consistency between the urban street and the distribution network frame; compare and calculate the weighted box dimension with the box dimension of the distribution network frame to obtain the weighted consistency between the urban built-up area and the distribution network frame considering the land load;

[0079] The fourth processing unit 804 is used to take the box dimension of the distribution network grid, the coverage depth of the distribution network grid, the consistency between the urban streets and the distribution network grid, the coverage depth of the urban streets and the weighted consistency between the urban built-up area and the distribution network grid as five evaluation indicators, comprehensively consider and evaluate the spatial layout of the distribution network grid, and obtain a comprehensive evaluation result of the spatial layout of the distribution network grid.

[0080] Further, the second processing unit 802 is used for:

[0081] The distribution network grid geographic wiring diagram is read into matlab for grayscale and binarization processing, and the image is completed with the smallest integer power of 2 that is higher than the long side of the image as the side length, and the redundant part is replaced by blank pixels to generate a pixel matrix;

[0082] Select the bisection sequence l i =2 i (i=1,2,...) The pixel matrix is ​​segmented into square boxes, and the number of squares with edges passing through is counted, that is, the number of squares whose matrix elements are not all empty is obtained to obtain a series of box sizes l i And the number of boxes N i , in the double logarithmic coordinate system (log2(N i )-log2(l i ))Plot each data point;

[0083] The linear regression analysis is performed by least squares method to fit the absolute value of the slope of the straight line, which is the box dimension D of the distribution network frame. G ;

[0084] The difference value between two adjacent observation points is used to represent the corresponding difference box dimension. Right D G (l i ) Linear fitting inverse solution D G =1.585 corresponding to l i As the coverage depth of the distribution network frame h G , where: l i and l i-1 Respectively represent the side lengths of the square boxes corresponding to the i-th and i-1-th sample points, N(l i ) and N(l i-1 ) represent the corresponding number of boxes, D G (l i ) is the difference box dimension corresponding to the i-th sample point.

[0085] Furthermore, the second processing unit 802 is further configured to:

[0086] The city street map is read into matlab for grayscale and binarization processing, and the image is complemented with the smallest integer power of 2 greater than the long side of the image, and the redundant part is replaced with blank pixels to generate a pixel matrix;

[0087] Select the bisection sequence l i =2 i (i=1,2,...) The pixel matrix is ​​segmented into square boxes, and the number of squares with edges passing through is counted, that is, the number of squares whose matrix elements are not all empty is obtained to obtain a series of box sizes l i And the number of boxes N i , in the double logarithmic coordinate system (log2(N i )-log2(l i ))Plot each data point;

[0088] The linear regression analysis is performed using the least squares method to fit the absolute value of the slope of the straight line, which is the box dimension D of the city street. R ;

[0089] The difference value between two adjacent observation points is used to represent the corresponding difference box dimension. Right D R (l i ) Linear fitting inverse solution D R =1.585 corresponding to l i As the coverage depth of the distribution network frame h R , where: l i and l i-1 Respectively represent the side lengths of the square boxes corresponding to the i-th and i-1-th sample points, N(li ) and N(l i-1 ) represent the corresponding number of boxes, D R (l i ) is the difference box dimension corresponding to the i-th sample point.

[0090] The GIS-based distribution network spatial layout evaluation device includes a processor and a memory. The above-mentioned first processing unit, second processing unit, third processing unit and fourth processing unit are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to realize corresponding functions.

[0091] The processor contains a kernel, which calls the corresponding program unit from the memory. One or more kernels can be set, and the kernel parameters can be adjusted to achieve a comprehensive assessment of the spatial layout of the distribution network, preparing for the comprehensive inclusion of power grid planning into national land space planning.

[0092] An embodiment of the present application provides a storage medium on which a program is stored. When the program is executed by a processor, the GIS-based distribution network grid spatial layout evaluation method is implemented.

[0093] An embodiment of the present application provides a processor, which is used to run a program, wherein the GIS-based distribution network grid spatial layout evaluation method is executed when the program is run.

[0094] The present application embodiment provides an electronic device, such as Fig. 9 As shown, the electronic device 90 includes at least one processor 901, and at least one memory 902 and a bus 903 connected to the processor; wherein the processor 901 and the memory 902 communicate with each other through the bus 903; the processor 901 is used to call the program instructions in the memory 902 to execute the above-mentioned GIS-based distribution network spatial layout evaluation method.

[0095] The electronic devices in this article can be servers, PCs, PADs, mobile phones, etc.

[0096] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program for initializing the following method steps:

[0097] Obtain the geographical wiring diagram of the distribution network, the city street map and the urban built-up area map;

[0098] Taking the distribution network grid geographical wiring diagram, the city street map and the urban built-up area map as input, the box dimension and coverage depth of the distribution network grid, the box dimension and coverage depth of the urban streets and the weighted box dimension of the urban built-up area are calculated according to a preset calculation model;

[0099] Compare and calculate the box dimensions of the distribution network frame and the city street to obtain the consistency between the city street and the distribution network frame; compare and calculate the weighted box dimension with the box dimension of the distribution network frame to obtain the weighted consistency between the urban built-up area and the distribution network frame considering the land load;

[0100] The box dimension of the distribution network grid, the coverage depth of the distribution network grid, the consistency between the urban streets and the distribution network grid, the coverage depth of the urban streets and the weighted consistency between the urban built-up area and the distribution network grid are taken as five evaluation indicators, and the spatial layout of the distribution network grid is evaluated by comprehensive consideration to obtain a comprehensive evaluation result of the spatial layout of the distribution network grid.

[0101] Furthermore, the distribution network grid geographical wiring diagram is used as input, and the box dimension and coverage depth of the distribution network grid are calculated according to a preset calculation model, specifically:

[0102] The distribution network grid geographical wiring diagram is grayed and binarized, and the box dimension and coverage depth of the distribution network grid are calculated based on a box dimension algorithm.

[0103] Furthermore, the distribution network grid geographical wiring diagram is grayed and binarized, and the box dimension and coverage depth of the distribution network grid are calculated based on the box dimension algorithm, specifically:

[0104] The distribution network grid geographic wiring diagram is read into matlab for grayscale and binarization processing, and the image is completed with the smallest integer power of 2 that is higher than the long side of the image as the side length, and the redundant part is replaced by blank pixels to generate a pixel matrix;

[0105] Select the bisection sequence l i =2 i (i=1,2,...) The pixel matrix is ​​segmented into square boxes, and the number of squares with edges passing through is counted, that is, the number of squares whose matrix elements are not all empty is obtained to obtain a series of box sizes l i And the number of boxes N i , in the double logarithmic coordinate system (log2(N i )-log2(l i ))Plot each data point;

[0106] The linear regression analysis is performed by least squares method to fit the absolute value of the slope of the straight line, which is the box dimension D of the distribution network frame. G ;

[0107] The difference value between two adjacent observation points is used to represent the corresponding difference box dimension. Right D G (l i ) Linear fitting inverse solution DG =1.585 corresponding to l i As the coverage depth of the distribution network frame h G , where: l i and l i-1 Respectively represent the side lengths of the square boxes corresponding to the i-th and i-1-th sample points, N(l i ) and N(l i-1 ) represent the corresponding number of boxes, D G (l i ) is the difference box dimension corresponding to the i-th sample point.

[0108] Furthermore, the city street map is used as input, and the box dimension and coverage depth of the city streets are calculated according to a preset calculation model, specifically:

[0109] The city street map is grayed and binarized, and the box dimension and coverage depth of the city streets are calculated based on a box dimension algorithm.

[0110] Furthermore, the city street map is grayed and binarized, and the box dimension and coverage depth of the city streets are calculated based on a box dimension algorithm, specifically:

[0111] The city street map is read into matlab for grayscale and binarization processing, and the image is complemented with the smallest integer power of 2 greater than the long side of the image, and the redundant part is replaced with blank pixels to generate a pixel matrix;

[0112] Select the bisection sequence l i =2 i (i=1,2,...) The pixel matrix is ​​segmented into square boxes, and the number of squares with edges passing through is counted, that is, the number of squares whose matrix elements are not all empty is obtained to obtain a series of box sizes l i And the number of boxes N i , in the double logarithmic coordinate system (log2(N i )-log2(l i ))Plot each data point;

[0113] The linear regression analysis is performed using the least squares method to fit the absolute value of the slope of the straight line, which is the box dimension D of the city street. R ;

[0114] The difference value between two adjacent observation points is used to represent the corresponding difference box dimension. Right D R (l i ) Linear fitting inverse solution D R =1.585 corresponding to l i As the coverage depth of the distribution network frame hR , where: l i and l i-1 Respectively represent the side lengths of the square boxes corresponding to the i-th and i-1-th sample points, N(l i ) and N(l i-1 ) represent the corresponding number of boxes, D R (l i ) is the difference box dimension corresponding to the i-th sample point.

[0115] The present application is described by flowcharts and / or block diagrams of the methods, devices (systems), and computer program products of the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0116] In a typical configuration, the device includes one or more processors (CPU), memory and bus. The device may also include input / output interface, network interface and the like.

[0117] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip. The memory is an example of a computer-readable medium.

[0118] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0119] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0120] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0121] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A GIS-based distribution network spatial layout evaluation method, It is characterized in that include: Obtain the geographical wiring diagram of the distribution network, the city street map and the urban built-up area map; Taking the distribution network grid geographical wiring diagram, the city street map and the urban built-up area map as input, the box dimension and coverage depth of the distribution network grid, the box dimension and coverage depth of the urban streets and the weighted box dimension of the urban built-up area are calculated according to a preset calculation model; Compare and calculate the box dimensions of the distribution network frame and the city street to obtain the consistency between the city street and the distribution network frame; compare and calculate the weighted box dimension with the box dimension of the distribution network frame to obtain the weighted consistency between the urban built-up area and the distribution network frame considering the land load; The box dimension of the distribution network grid, the coverage depth of the distribution network grid, the consistency between the urban streets and the distribution network grid, the coverage depth of the urban streets and the weighted consistency between the urban built-up area and the distribution network grid are taken as five evaluation indicators, and the spatial layout of the distribution network grid is evaluated by comprehensive consideration to obtain a comprehensive evaluation result of the spatial layout of the distribution network grid.

2. The method according to claim 1, It is characterized in that The distribution network grid geographical wiring diagram is used as input, and the box dimension and coverage depth of the distribution network grid are calculated according to a preset calculation model, specifically: The distribution network grid geographical wiring diagram is grayed and binarized, and the box dimension and coverage depth of the distribution network grid are calculated based on a box dimension algorithm.

3. The method according to claim 2, It is characterized in that The grayscale and binarization processing is performed on the distribution network grid geographical wiring diagram, and the box dimension and coverage depth of the distribution network grid are calculated based on the box dimension algorithm, specifically: The distribution network grid geographic wiring diagram is read into matlab for grayscale and binarization processing, and the image is completed with the smallest integer power of 2 that is higher than the long side of the image as the side length, and the redundant part is replaced by blank pixels to generate a pixel matrix; Select the bisection sequence l i =2 i (i=1,2,...) The pixel matrix is ​​segmented into square boxes, and the number of squares with edges passing through is counted, that is, the number of squares whose matrix elements are not all empty is obtained to obtain a series of box sizes l i And the number of boxes N i , in the double logarithmic coordinate system (log 2 (N i )-log 2 (l i ))Plot each data point; The linear regression analysis is performed by least squares method to fit the absolute value of the slope of the straight line, which is the box dimension D of the distribution network frame. G ; The difference value between two adjacent observation points is used to represent the corresponding difference box dimension. Right D G (l i ) Linear fitting inverse solution D G =1.585 corresponding to l i As the coverage depth of the distribution network frame h G , where: l i and l i-1 Respectively represent the side lengths of the square boxes corresponding to the i-th and i-1-th sample points, N(l i ) and N(l i-1 ) represent the corresponding number of boxes, D G (l i ) is the difference box dimension corresponding to the i-th sample point.

4. The method according to claim 1, It is characterized in that The city street map is used as input, and the box dimension and coverage depth of the city streets are calculated according to a preset calculation model, specifically: The city street map is grayed and binarized, and the box dimension and coverage depth of the city streets are calculated based on a box dimension algorithm.

5. The method according to claim 4, It is characterized in that The grayscale and binarization processing is performed on the city street map, and the box dimension and coverage depth of the city streets are calculated based on the box dimension algorithm, specifically: The city street map is read into matlab for grayscale and binarization processing, and the image is complemented with the smallest integer power of 2 greater than the long side of the image, and the redundant part is replaced with blank pixels to generate a pixel matrix; Select the bisection sequence l i =2 i (i=1,2,...) The pixel matrix is ​​segmented into square boxes, and the number of squares with edges passing through is counted, that is, the number of squares whose matrix elements are not all empty is obtained to obtain a series of box sizes l i And the number of boxes N i , in the double logarithmic coordinate system (log 2 (N i )-log 2 (l i ))Plot each data point; The linear regression analysis is performed using the least squares method to fit the absolute value of the slope of the straight line, which is the box dimension D of the city street. R ; The difference value between two adjacent observation points is used to represent the corresponding difference box dimension. Right D R (l i ) Linear fitting inverse solution D R =1.585 corresponding to l i As the coverage depth of the distribution network frame h R , where: l i and l i-1 Respectively represent the side lengths of the square boxes corresponding to the i-th and i-1-th sample points, N(l i ) and N(l i-1 ) represent the corresponding number of boxes, D R (l i ) is the difference box dimension corresponding to the i-th sample point.

6. A GIS-based distribution network spatial layout evaluation device, It is characterized in that include: The first processing unit is used to obtain a distribution network grid geographical wiring diagram, a city street map and a city built-up area map; The second processing unit is used to take the distribution network grid geographical wiring diagram, the city street map and the urban built-up area map as input, and calculate the box dimension and coverage depth of the distribution network grid, the box dimension and coverage depth of the urban streets and the weighted box dimension of the urban built-up area according to a preset calculation model; The third processing unit is used to compare and calculate the box dimensions of the distribution network frame and the urban street to obtain the consistency between the urban street and the distribution network frame; compare and calculate the weighted box dimension with the box dimension of the distribution network frame to obtain the weighted consistency between the urban built-up area and the distribution network frame considering the land load; The fourth processing unit is used to use the box dimension of the distribution network frame, the coverage depth of the distribution network frame, the consistency between the urban streets and the distribution network frame, the coverage depth of the urban streets and the weighted consistency between the urban built-up area and the distribution network frame as five evaluation indicators, comprehensively consider and evaluate the spatial layout of the distribution network frame, and obtain a comprehensive evaluation result of the spatial layout of the distribution network frame.

7. The device according to claim 6, It is characterized in that The second processing unit is used for: The distribution network grid geographic wiring diagram is read into matlab for grayscale and binarization processing, and the image is completed with the smallest integer power of 2 that is higher than the long side of the image as the side length, and the redundant part is replaced by blank pixels to generate a pixel matrix; Select the bisection sequence l i =2 i (i=1,2,...) The pixel matrix is ​​segmented into square boxes, and the number of squares with edges passing through is counted, that is, the number of squares whose matrix elements are not all empty is obtained to obtain a series of box sizes l i And the number of boxes N i , in the double logarithmic coordinate system (log 2 (N i )-log 2 (l i ))Plot each data point; The linear regression analysis is performed by least squares method to fit the absolute value of the slope of the straight line, which is the box dimension D of the distribution network frame. G ; The difference value between two adjacent observation points is used to represent the corresponding difference box dimension. Right D G (l i ) Linear fitting inverse solution D G =1.585 corresponding to l i As the coverage depth of the distribution network frame h G , where: l i and l i-1 Respectively represent the side lengths of the square boxes corresponding to the i-th and i-1-th sample points, N(l i ) and N(l i-1 ) represent the corresponding number of boxes, D G (l i ) is the difference box dimension corresponding to the i-th sample point.

8. The device according to claim 6, It is characterized in that The second processing unit is further configured to: The city street map is read into matlab for grayscale and binarization processing, and the image is complemented with the smallest integer power of 2 greater than the long side of the image, and the redundant part is replaced with blank pixels to generate a pixel matrix; Select the bisection sequence l i =2 i (i=1,2,...) The pixel matrix is ​​segmented into square boxes, and the number of squares with edges passing through is counted, that is, the number of squares whose matrix elements are not all empty is obtained to obtain a series of box sizes l i And the number of boxes N i , in the double logarithmic coordinate system (log 2 (N i )-log 2 (l i ))Plot each data point; The linear regression analysis is performed using the least squares method to fit the absolute value of the slope of the straight line, which is the box dimension D of the city street. R ; The difference value between two adjacent observation points is used to represent the corresponding difference box dimension. Right D R (l i ) Linear fitting inverse solution D R =1.585 corresponding to l i As the coverage depth of the distribution network frame h R , where: l i and l i-1 Respectively represent the side lengths of the square boxes corresponding to the i-th and i-1-th sample points, N(l i ) and N(l i-1 ) represent the corresponding number of boxes, D R (l i ) is the difference box dimension corresponding to the i-th sample point.

9. A storage medium, It is characterized in that The storage medium includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the GIS-based distribution network spatial layout evaluation method as described in any one of claims 1 to 5.

10. An electronic device, It is characterized in that The electronic device includes at least one processor, and at least one memory and a bus connected to the processor; wherein the processor and the memory communicate with each other through the bus; the processor is used to call the program instructions in the memory to execute the GIS-based distribution network spatial layout evaluation method as described in any one of claims 1 to 5.

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