CN112270030B - Method, device, equipment and medium for optimal design of complex terrain wind power plant road - Google Patents
Method, device, equipment and medium for optimal design of complex terrain wind power plant road Download PDFInfo
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Abstract
The application discloses a method, a device, equipment and a medium for optimizing and designing a wind power plant road in a complex terrain, wherein the method comprises the following steps: gridding a site area of a wind power plant, and removing an area outside the site range, an area with a gradient larger than a limit value and an area of a sensitive area to obtain a grid map; calculating the shortest path connected between every two wind generating set positions and the corresponding road cost in the acquired grid map by using a dijkstra algorithm; storing and recording the calculated shortest path, the road cost and the corresponding unit number into the acquired grid map to obtain a final grid map; and according to the information recorded in the final grid map, calculating the minimum spanning trees of all the wind generating set positions by adopting a minimum spanning tree algorithm to obtain the optimal connection line with the lowest road cost in the wind power plant. Therefore, the workload in the design process of roads in the yard can be reduced, manpower and material resources are saved, the construction cost is reduced, the construction investment is saved for owners, and the construction method has the engineering practical value.
Description
Technical Field
The invention relates to the technical field of micro-site selection of wind power plant roads, in particular to a method, a device, equipment and a medium for optimally designing a wind power plant road in a complex terrain.
Background
Due to the scattered arrangement of the wind generating sets, the on-site maintenance road is generally long, important components of the wind power plant comprise the line layout of the wind power plant road design, the design of a roadbed and a road surface, long-term or temporary land acquisition and other plans, and the proper road design plays a very key role in investment, management, operation and maintenance of the whole wind power plant.
The wind power plant road planning needs to be combined with site landform and surrounding environment to carry out convenient and practical planning design, and occupation and large-area digging and filling of forest farmland are avoided as much as possible. The design scheme of the road is optimized, the original road is utilized as far as possible according to the transportation requirement and the hoisting mechanical type of fan equipment, the path length is reduced, and the road grade and the standard are controlled according to the permanent and temporary combination measures. When in design, a specific implementation scheme is given according to the detailed conditions of the area, for example, the south often rains, and then relevant measures such as retaining walls, slope protection and the like need to be taken.
However, at present, research on optimization of wind power plants with complex terrains, particularly mountainous roads, at home and abroad is very limited, and certainly, many uncertain factors have no fixed standard during optimization. The design house and the wind power plant generally carry out road design work according to manual experience, line selection varies from person to person, the detailed design of the general 50MW wind field maintenance road needs 2-3 months, and the optimization of road investment is difficult to achieve.
Disclosure of Invention
In view of the above, the present invention provides a method, an apparatus, a device and a medium for optimizing and designing a wind farm road in a complex terrain, which can reduce the workload in the design process of the wind farm road in the complex terrain, save manpower and material resources, reduce the construction cost, and have practical engineering value. The specific scheme is as follows:
a method for optimally designing a wind power plant road with complex terrain comprises the following steps:
gridding a site area of a wind power plant, and removing an area outside the site range, an area with a gradient larger than a limit value and an area of a sensitive area to obtain a grid map;
calculating the shortest path connected between every two wind generating set positions and the corresponding road cost in the acquired grid graph by using a dijkstra algorithm;
storing and recording the calculated shortest path, the calculated road cost and the corresponding unit number into the acquired grid map to obtain a final grid map;
and calculating the minimum spanning trees of all the wind generating set positions by adopting a minimum spanning tree algorithm according to the information recorded in the final grid map, and obtaining the optimal connection line with the lowest road cost in the wind power plant.
Preferably, in the method for optimally designing a wind farm road in a complex terrain provided by the embodiment of the present invention, the meshing of the wind farm site area specifically includes:
Generating a contour topographic map;
marking out the boundary and the sensitive area of a wind power plant site in the contour topographic map;
and gridding the wind power plant site area corresponding to the contour topographic map to generate rectangular grids, connecting the diagonal lines of each rectangular unit in the rectangular grids, and marking the area with the gradient larger than a limit value.
Preferably, in the method for optimally designing a road of a wind farm in a complex terrain provided in the embodiment of the present invention, a dijkstra algorithm is used to calculate a shortest path connecting every two wind turbine generator sets and a corresponding road cost in the obtained grid map, and specifically includes:
according to the design requirement of the road gradient in the wind power plant, designing a connection road between every two wind generating set positions in the obtained grid map by using a dijkstra algorithm;
and finding out the shortest path in the designed connection road, calculating the road cost corresponding to the shortest path, and recording the corresponding unit number.
Preferably, in the method for optimally designing a wind farm road in a complex terrain, provided by the embodiment of the invention, the objective function of the minimum spanning tree is the minimum value of the sum of the total construction cost of the road structure layer material and the total construction cost of the earth and stone engineering volume of the road.
Preferably, in the method for optimally designing the wind farm road in the complex terrain provided by the embodiment of the invention, a first formula is adopted to calculate the total construction cost of the road structure layer material; the first formula is:
M C ＝H*L*W*M P
wherein M is C For the total cost of the road structural layer material, H is the structural layer thickness and L is the roadRoad length, W road width, M P The unit cost of the structural layer material is provided.
Preferably, in the method for optimally designing the wind farm road in the complex terrain provided by the embodiment of the invention, a second formula is adopted to calculate the total construction cost of the road earthwork project; the second formula is:
wherein E is C Is the total construction cost of earthwork project, V C For volume of excavation, V F To fill, C P For the cost of the excavation unit, F P The cost is the unit cost of filling.
The embodiment of the invention also provides a wind power plant road optimization design device for complex terrain, which comprises the following steps:
the grid map acquisition module is used for gridding the site area of the wind power plant, and eliminating an area outside the site range, an area with a slope larger than a limit value and an area of a sensitive area to acquire a grid map;
the information calculation module is used for calculating the shortest path and the corresponding road cost of connection between every two wind generating set positions in the acquired grid map by using a dijkstra algorithm;
The information recording module is used for storing and recording the calculated shortest path, the calculated road cost and the corresponding unit number into the acquired grid map to obtain a final grid map;
and the optimal connection line calculation module is used for calculating the minimum spanning tree of all the wind generating set positions by adopting a minimum spanning tree algorithm according to the information recorded in the final grid map so as to obtain the optimal connection line with the lowest road cost in the wind power plant.
Preferably, in the device for optimally designing a wind farm road on a complex terrain provided in an embodiment of the present invention, the grid map obtaining module specifically includes:
the topographic map generating unit is used for generating a contour topographic map, and the boundary and the sensitive area of a wind power plant site are marked in the contour topographic map;
the grid generating unit is used for meshing the wind power plant site area corresponding to the contour topographic map to generate rectangular grids, connecting the diagonal lines of each rectangular unit in the rectangular grids, and marking an area with a gradient larger than a limit value;
and the grid map acquisition unit is used for eliminating the area outside the field address range, the area with the gradient larger than the limit value and the area of the sensitive area to acquire the grid map.
The embodiment of the invention also provides a complex terrain wind power plant road optimization design device which comprises a processor and a memory, wherein the processor realizes the complex terrain wind power plant road optimization design method provided by the embodiment of the invention when executing the computer program stored in the memory.
The embodiment of the invention also provides a computer-readable storage medium for storing a computer program, wherein the computer program is executed by a processor to implement the method for optimally designing the wind farm road on the complex terrain, which is provided by the embodiment of the invention.
According to the technical scheme, the method for optimally designing the wind power plant road in the complex terrain comprises the following steps: gridding a site area of a wind power plant, and removing an area outside the site range, an area with a gradient larger than a limit value and an area of a sensitive area to obtain a grid map; calculating the shortest path connected between every two wind generating set positions and the corresponding road cost in the obtained grid graph by using a dijkstra algorithm; storing and recording the calculated shortest path, the road cost and the corresponding unit number into the acquired grid map to obtain a final grid map; and according to the information recorded in the final grid map, calculating the minimum spanning trees of all the wind generating set positions by adopting a minimum spanning tree algorithm to obtain the optimal connection line with the lowest road cost in the wind power plant.
The invention gridds the site area of the wind power plant, automatically designs the road between every two wind power generator unit positions, and obtains the optimal line of the road in the wind power plant after global optimization, thereby reducing the workload in the design process of the road in the plant, saving manpower and material resources, simultaneously reducing the engineering cost, saving the engineering investment for owners, and obtaining the global optimal road scheme of the wind power plant in a short time. In addition, the invention also provides a corresponding device, equipment and a computer readable storage medium aiming at the complex terrain wind power plant road optimization design method, so that the method has higher practicability, and the device, the equipment and the computer readable storage medium have corresponding advantages.
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In order to more clearly illustrate the embodiments of the present invention or technical solutions in related arts, the drawings used in the description of the embodiments or related arts will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flowchart of a complex terrain wind farm road optimization design method provided by an embodiment of the invention;
FIG. 2 is a schematic diagram of a wind farm terrain provided by an embodiment of the present invention;
FIG. 3 is a topographical view of a wind farm with sensitive areas marked as provided by an embodiment of the present invention;
FIG. 4 is a final grid map provided by an embodiment of the present invention;
FIG. 5 is a wind farm road layout provided by an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a complex terrain wind farm road optimization design device provided by the embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a method for optimally designing a wind power plant road in a complex terrain, which comprises the following steps of:
s101, gridding a site area of a wind power plant, and removing an area outside the site area, an area with a slope larger than a limit value and an area of a sensitive area to obtain a grid map;
In practical application, a grid is formed in a data acquisition area, a wind power plant road is limited in the grid, road cost is determined by combining network planning, and the side outside a site range, the side with the gradient larger than a limited value and the side of a sensitive area are eliminated;
s102, calculating the shortest path and the corresponding road cost of connection between every two wind generating set positions in the acquired grid map by using a dijkstra algorithm;
s103, storing and recording the calculated shortest path, the road cost and the corresponding unit number into the acquired grid map to obtain a final grid map;
specifically, a dijkstra algorithm is used for obtaining a minimum cost path between two wind generating set positions through a network, the obtained minimum path, road cost and unit number are stored, step S102 is repeatedly executed, the minimum path, the road cost and the unit number which are connected between all the unit positions are generated and stored and recorded in a grid map until information between every two units of all the wind generating sets in the wind power plant is obtained, and a final grid map marked with the minimum cost, the minimum cost and the corresponding unit number between any two wind generating set positions in the wind power plant is obtained;
And S104, calculating the minimum spanning trees of all the wind generating set positions by adopting a minimum spanning tree algorithm (namely, performing global optimization route selection) according to the information recorded in the final grid map, and obtaining the optimal connection route with the lowest road cost in the wind power plant.
In the method for optimally designing the road of the wind power plant with the complex terrain, provided by the embodiment of the invention, the site area of the wind power plant is meshed, the road between every two wind power generator unit positions is automatically designed, and the optimal line of the road in the wind power plant is obtained after global optimization, so that the workload in the design process of the road in the plant can be reduced, the manpower and material resources are saved, the construction cost is reduced, the engineering investment is saved for an owner, the global optimal road scheme of the wind power plant can be obtained in a short time, and on the basis, road design engineers can carry out later modification and detailed design.
Further, in specific implementation, in the method for optimally designing a wind farm road on a complex terrain provided by the embodiment of the invention, the step S101 of meshing a wind farm site area may specifically include: firstly, generating a contour topographic map; marking out the boundary and the sensitive area of a wind power plant site in a contour topographic map; and then, gridding the wind power plant site area corresponding to the contour topographic map to generate a rectangular grid, connecting the diagonal lines of each rectangular unit in the rectangular grid, and marking an area with the gradient larger than a limit value.
It should be noted that fig. 2 shows a topographic map of a wind farm; in the invention, wind farm topographic map data are preprocessed, as shown in fig. 3, elevations are distinguished by different color representations in a generated contour topographic map, a polygon is used for representing a wind farm boundary, and a sensitive area is marked (such as a circle); as shown in fig. 4, a rectangular grid is generated, wherein the diagonal of the rectangular unit also serves as a candidate edge, and an area with a longitudinal gradient greater than an allowable gradient is marked; and eliminating the area outside the field address range, the area with the gradient larger than the limit value and the area of the sensitive area to obtain the grid map.
In specific implementation, in the method for optimally designing a wind farm road in a complex terrain provided by the embodiment of the present invention, step S102 uses dijkstra algorithm to calculate a shortest path connecting between every two wind turbine generator positions and a corresponding road cost in an obtained grid map, and specifically may include: according to the design requirement of the road gradient in the wind power plant, designing a connection road between every two wind generating set positions in the obtained grid map by using a dijkstra algorithm; and finding out the shortest path in the designed connection road, calculating the road cost corresponding to the shortest path, and recording the corresponding unit number and the road number.
It should be noted that the road cost is composed of two aspects: firstly, the construction cost of the road structure layer material; and secondly, the construction cost of the road earthwork is reduced.
As shown in fig. 5, a minimum tree generation algorithm is adopted to calculate the minimum spanning trees of all the wind generating set positions, so as to obtain the optimal connection line of the road in the wind farm. Specifically, in the implementation, the objective function of the minimum spanning tree may be a minimum value of a sum of a total cost of the road structure layer material and a total cost of the road earthwork construction amount. That is, the optimization of the roads in the field is based on the minimum cost of the roads in the field as the objective function:
OPT＝min(M C +E C )
wherein M is C Total cost of road construction layer material, E C The total construction cost of the earthwork project.
In specific implementation, in the method for optimally designing the wind power plant road with the complex terrain provided by the embodiment of the invention, the total construction cost of the road structure layer material is calculated by adopting a first formula; the first formula is:
M C ＝H*L*W*M P
wherein M is C For the total cost of road structural layer material, H is the structural layer thickness, L is the road length, W is the road width, M P The unit cost of the structural layer material is provided.
It will be appreciated that the road structure layer material cost is broken down into the road structure volume multiplied by the material unit cost according to the above formula. The specification does not give a calculation formula of the pavement thickness, and the design is generally set by designers according to local experience according to the current pavement design specification of the traffic department and by combining factory and mine road design under similar conditions.
In specific implementation, in the method for optimally designing the wind power plant road with the complex terrain provided by the embodiment of the invention, the total construction cost of the road earthwork engineering quantity is calculated by adopting a second formula; the second formula is:
wherein E is C Is the total construction cost of earthwork project, V C For volume of excavation, V F To fill, C P For excavation unit cost, F P The cost is the unit cost of filling.
It can be understood that the road earthwork construction cost is decomposed into the volume of the earthwork multiplied by the unit cost of the earthwork according to the above formula.
Based on the same invention concept, the embodiment of the invention also provides a complex terrain wind power plant road optimization design device, and as the problem solving principle of the device is similar to that of the complex terrain wind power plant road optimization design method, the implementation of the device can refer to the implementation of the complex terrain wind power plant road optimization design method, and repeated parts are not repeated.
In specific implementation, the device for optimally designing the wind farm road in the complex terrain provided by the embodiment of the invention, as shown in fig. 6, specifically comprises:
the grid map acquisition module 11 is used for gridding the site area of the wind power plant, and eliminating an area outside the site range, an area with a slope larger than a limit value and an area of a sensitive area to acquire a grid map;
The information calculation module 12 is configured to calculate, in the obtained grid map, a shortest path and corresponding road cost for connection between every two wind turbine generator sets by using a dijkstra algorithm;
the information recording module 13 is used for storing and recording the calculated shortest path, the road cost and the corresponding unit number into the acquired grid map to obtain a final grid map;
and the optimal connecting line calculating module 14 is used for calculating the minimum spanning tree of all the wind generating set positions by adopting a minimum spanning tree algorithm according to the information recorded in the final grid map, and obtaining the optimal connecting line with the lowest road cost in the wind power plant.
In the complex terrain wind power plant road optimization design device provided by the embodiment of the invention, the wind power plant site area is gridded through the interaction of the four modules, the road between every two wind power generator unit positions is automatically designed, the optimal selection line of the road in the wind power plant site is obtained in a short time after global optimization is carried out, the workload in the design process of the road in the site is reduced, the manpower and material resources are saved, the construction cost is reduced, the engineering investment is saved for owners, and road design engineers can carry out later modification and detail design on the optimal selection line.
Further, in a specific implementation, in the device for optimally designing a wind farm road in a complex terrain provided in the embodiment of the present invention, the grid map obtaining module 11 may specifically include:
the topographic map generating unit is used for generating a contour topographic map, and the boundary and the sensitive area of the wind power plant site are marked in the contour topographic map;
the grid generating unit is used for meshing the wind power plant site area corresponding to the contour topographic map to generate rectangular grids, connecting the diagonal lines of each rectangular unit in the rectangular grids, and marking the area with the gradient larger than a limit value;
and the grid map acquisition unit is used for eliminating the area outside the field address range, the area with the gradient larger than the limit value and the area of the sensitive area to acquire the grid map.
For more specific working processes of the modules, reference may be made to corresponding contents disclosed in the foregoing embodiments, and details are not repeated here.
Correspondingly, the embodiment of the invention also discloses a complex terrain wind power plant road optimization design device, which comprises a processor and a memory; when the processor executes the computer program stored in the memory, the method for optimally designing the complex terrain wind farm road disclosed by the embodiment is realized.
For more specific processes of the above method, reference may be made to corresponding contents disclosed in the foregoing embodiments, and details are not repeated here.
Further, the present invention also discloses a computer readable storage medium for storing a computer program; the computer program is used for realizing the complex terrain wind power plant road optimization design method disclosed in the foregoing when being executed by a processor.
For more specific processes of the above method, reference may be made to corresponding contents disclosed in the foregoing embodiments, and details are not repeated here.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other. The device, the equipment and the storage medium disclosed by the embodiment correspond to the method disclosed by the embodiment, so that the description is relatively simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the technical solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The embodiment of the invention provides a complex terrain wind power plant road optimization design method, which comprises the following steps: gridding a site area of a wind power plant, and removing an area outside the site range, an area with a gradient larger than a limit value and an area of a sensitive area to obtain a grid map; calculating the shortest path connected between every two wind generating set positions and the corresponding road cost in the acquired grid map by using a dijkstra algorithm; storing and recording the calculated shortest path, the road cost and the corresponding unit number into the acquired grid map to obtain a final grid map; and according to the information recorded in the final grid map, calculating the minimum spanning trees of all the wind generating set positions by adopting a minimum spanning tree algorithm to obtain the optimal connection line with the lowest road cost in the wind power plant. Therefore, the workload in the design process of the roads in the field can be reduced, manpower and material resources are saved, the construction cost is reduced, the engineering investment is saved for an owner, the overall optimal road scheme of the wind power field can be obtained in a short time, on the basis, road design engineers can carry out later modification and detail design, and the road optimal design method has engineering practical value. In addition, the invention also provides a corresponding device, equipment and a computer readable storage medium aiming at the complex terrain wind power plant road optimization design method, so that the method has higher practicability, and the device, the equipment and the computer readable storage medium have corresponding advantages.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
The method, the device, the equipment and the medium for optimizing and designing the wind power plant road in the complex terrain are introduced in detail, specific examples are applied in the method for explaining the principle and the implementation mode of the invention, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (9)
1. A wind power plant road optimization design method for complex terrain is characterized by comprising the following steps:
gridding a site area of a wind power plant, and removing an area outside the site range, an area with a gradient larger than a limit value and an area of a sensitive area to obtain a grid map;
calculating the shortest path connected between every two wind generating set positions and the corresponding road cost in the acquired grid graph by using a dijkstra algorithm;
storing and recording the calculated shortest path, the calculated road cost and the corresponding unit number into the acquired grid map to obtain a final grid map;
calculating the minimum spanning trees of all the wind generating set positions by adopting a minimum spanning tree algorithm according to the information recorded in the final grid map, and obtaining the optimal connection line with the lowest road cost in the wind power plant;
meshing a site area of a wind power plant, which specifically comprises the following steps:
generating a contour topographic map;
marking out the boundary and the sensitive area of a wind power plant site in the contour topographic map;
and gridding the wind power plant site area corresponding to the contour topographic map to generate rectangular grids, connecting the diagonal lines of each rectangular unit in the rectangular grids, and marking the area with the gradient larger than a limit value.
2. The method for optimally designing the wind farm road in the complex terrain according to claim 1, wherein a dijkstra algorithm is used for calculating the shortest path for connection between every two wind generating set positions and the corresponding road cost in the acquired grid map, and specifically comprises the following steps:
according to the design requirement of the road gradient in the wind power plant, designing a connection road between every two wind generating set positions in the obtained grid graph by using a dijkstra algorithm;
and finding out the shortest path in the designed connection road, calculating the road cost corresponding to the shortest path, and recording the corresponding unit number.
3. The method for optimally designing the wind power plant road with the complex terrain according to claim 2, wherein the objective function of the minimum spanning tree is the minimum value of the sum of the total construction cost of road structure layer materials and the total construction cost of the earth and stone engineering quantity of the road.
4. The method for optimally designing the wind power plant road with the complex terrain according to claim 3, wherein the total construction cost of the road structure layer material is calculated by adopting a first formula; the first formula is:
M C ＝H*L*W*M P
wherein M is C For the total construction cost of the road structural layer material, H is the structural layer thickness, L is the road length, W is the road width, M P The unit cost of the structural layer material is provided.
5. The method for optimally designing the wind power plant road with the complex terrain according to claim 4, characterized in that the total construction cost of the road earthwork project amount is calculated by adopting a second formula; the second formula is:
wherein E is C Is the total construction cost of earthwork project, V C For the volume of excavation, V F To fill, C P For excavation unit cost, F P The cost is the unit cost of filling.
6. The utility model provides a wind-powered electricity generation field road optimal design device of complicated topography which characterized in that includes:
the grid map acquisition module is used for gridding the site area of the wind power plant, and eliminating an area outside the site range, an area with a slope larger than a limit value and an area of a sensitive area to acquire a grid map;
the information calculation module is used for calculating the shortest path and the corresponding road cost of connection between every two wind generating set positions in the acquired grid map by using a dijkstra algorithm;
the information recording module is used for storing and recording the calculated shortest path, the calculated road cost and the corresponding unit number into the acquired grid map to obtain a final grid map;
the optimal connection line calculation module is used for calculating the minimum spanning tree of all the wind generating set positions by adopting a minimum spanning tree algorithm according to the information recorded in the final grid map so as to obtain the optimal connection line with the lowest road cost in the wind power plant;
Meshing a site area of a wind power plant, which specifically comprises the following steps:
generating a contour topographic map;
marking out the boundary and the sensitive area of a wind power plant site in the contour topographic map;
and gridding the wind power plant site area corresponding to the contour topographic map to generate rectangular grids, connecting the diagonal lines of each rectangular unit in the rectangular grids, and marking the area with the gradient larger than a limit value.
7. The device for optimally designing the wind farm road in the complex terrain according to claim 6, wherein the grid map obtaining module specifically comprises:
the topographic map generating unit is used for generating a contour topographic map, and the boundary and the sensitive area of a wind power plant site are marked in the contour topographic map;
the grid generating unit is used for meshing the wind power plant site area corresponding to the contour topographic map to generate rectangular grids, connecting the diagonal lines of each rectangular unit in the rectangular grids, and marking an area with a gradient larger than a limit value;
and the grid map acquisition unit is used for eliminating the area outside the field address range, the area with the gradient larger than the limit value and the area of the sensitive area to acquire the grid map.
8. A complex terrain wind farm road optimal design device, characterized by comprising a processor and a memory, wherein the processor, when executing a computer program stored in the memory, implements the complex terrain wind farm road optimal design method according to any one of claims 1 to 5.
9. A computer-readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements a complex terrain wind farm road optimization design method according to any of claims 1 to 5.
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| CN202011238843.7A CN112270030B (en) | 2020-11-09 | 2020-11-09 | Method, device, equipment and medium for optimal design of complex terrain wind power plant road |
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| CN202011238843.7A CN112270030B (en) | 2020-11-09 | 2020-11-09 | Method, device, equipment and medium for optimal design of complex terrain wind power plant road |
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| CN112270030A CN112270030A (en) | 2021-01-26 |
| CN112270030B true CN112270030B (en) | 2023-03-21 |
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