CN107885960B - Earthwork volume estimation system and method based on automatic line selection of construction roads in wind power plant - Google Patents

Abstract

The invention provides an earthwork estimating system based on automatic line selection of a construction road in a wind power plant, which comprises the following components: (1) The data acquisition device acquires complete three-dimensional terrain data of a road geographic scene in the wind power plant; (2) The digital terrain model generator is used for establishing a three-dimensional wind power plant model based on seamless nesting of the terrain models; (3) The path planner is used for adaptively generating a construction line design scheme based on three parameters of shortest comprehensive distance, optimal gradient and least filling and excavation of a booster station construction road; (4) The booster station position calculator is used for calculating the average shortest distance to each fan site on the basis of obtaining the shortest construction road design scheme, and applying a minimum average distance algorithm to determine the optimal address of the booster station; (5) And the construction earthwork calculator is used for intelligently estimating the construction earthwork of construction roads and booster station construction. Corresponding construction roads and booster station construction earthwork volume estimation methods are also disclosed.

Description

An earthwork estimation system based on automatic route selection of construction roads in wind farms and its Estimation method

technical field

The invention relates to the technical field of wind power development, in particular to the site selection of a booster station during road construction of a wind farm in the wind power industry, and belongs to the technical field of lean development of the wind power market.

Background technique

The wind farm is the basic operation and management unit of the wind power enterprise, and the operation management of the wind farm directly affects the benefit of the wind power enterprise. With the continuous expansion of the installed capacity of various wind power enterprises and the continuous increase in the number of wind farms, the original wind farms such as passive, intermittent and extensive operation and maintenance methods have gradually changed into active, continuous and lean operation and maintenance methods. During the transformation process, the concept of digital wind farms with different characteristics was proposed, and some demonstration projects were established, which achieved certain innovations and effects. However, these digital wind farms all focus on wind turbine monitoring, operation and maintenance on the wind farm side. In terms of maintenance and maintenance, more is to realize the automatic control of wind turbines, while some very important steps in the early stage of wind power project development are not paid much attention, which brings more risks of wind power projects and actual difficulties in project implementation.

For example, the route selection of roads and the site selection of booster stations in the early stage of wind farm construction involve many filling and excavation projects. Now the most common algorithm for route selection and site selection in the early stage of wind farm construction is the A* algorithm. The A* algorithm is quite tightly coupled with state space search. State space search is to express the process of solving the problem as a process of finding the path from the initial state to the target state. In layman's terms, it is to find a problem-solving process when solving a problem from the beginning of the solution to the end of the problem. Due to the uncertainty and incompleteness of the solution conditions in the solution process, there are many branches in the solution overshoot of the problem, which produces multiple solution paths. A graph of these path processes is the state space. The timing of solving the problem is to find a path in this graph from the beginning to the end. This process is the state space search. Commonly used state space searches include depth-first and breadth-first. Breadth-first is to search from the initial state layer by layer until the result target is found. Depth-first is to search for one branch first and then another branch in a certain order. , until the target result is found. The big defect of these two search methods is that they are exhaustive in a given state space, which is a very suitable algorithm when the state space is not large, but when the space is large and unpredictable The efficiency of these two algorithms is too low or even sometimes impossible to complete, so another algorithm is used, that is, heuristic search. Heuristic search is to evaluate each search in the state space until the best one is found, and then search from this position until the target position. In heuristic search, it is very important to evaluate so far. Different Valuation may have different results. There are actually many algorithms for heuristic search, such as local optimal search, best first search, A*, etc. These algorithms are involved in the site selection of booster stations in the current wind farm construction process, and these algorithms have enabled heuristic functions , but the specific strategies for selecting the best search node are different. For example, the local optimal algorithm is to select the best node in the search process and discard other sibling nodes and father nodes and keep searching. The result of this search is obvious, since other nodes are discarded, the best node may also be discarded. The A* algorithm does not discard nodes when searching, unless the node is a dead node. In the evaluation of each step, the current node is compared with the estimated value of the previous nodes to obtain the best node, which prevents the loss of the best node.

The A* algorithm is a best-first algorithm. However, due to some specific constraints, if you want to use the fastest method to find the shortest path and the optimal path of the wind farm state space search, the algorithm is The path-finding requirements cannot be fully met. The construction road in the wind farm needs to choose an area with relatively convenient traffic, which is conducive to the transportation of construction equipment materials and large-scale equipment, and reduces the investment in the road. In the process of selecting the location of the booster station for the construction of the wind farm, the three-dimensional terrain data There are few applications, and the estimation of construction earthwork volume based on the automatic selection of construction roads in wind farms has not been reported.

Contents of the invention

In view of the problems existing in the prior art, the present invention is proposed. The basic design idea of the present invention is: combined with the huge advantages of the three-dimensional geographic information system technology in the quantitative analysis and visualization of spatial information, based on the large-scale terrain collected by UAV aerial photogrammetry Image data, using the A* path-finding algorithm and the minimum average distance algorithm, comprehensively considering factors such as the optimal slope, the smallest amount of earth and stone, and the shortest route, adaptively generate the optimal route design plan for the construction road, and at the same time obtain the route design plan for the shortest road Based on this, calculate the average shortest distance to each wind turbine location, apply the minimum average distance algorithm to determine the optimal location of the booster station, and finally comprehensively estimate the construction earthwork for the construction of the road and booster station. It has a wide range of applications and prospects in the wind power industry, and it is the direction for the construction and development of "digital wind farms" in the future.

The present invention provides an earthwork estimation system based on automatic route selection of construction roads in wind farms, the system comprising:

(1) Data collector, used to collect the complete three-dimensional terrain data of the geographical scene of the road in the wind farm;

(2) Digital terrain model generator, which is used to establish a three-dimensional field model of the wind farm based on the seamless fit of the terrain model;

(3) The path planner, based on the A* path-finding algorithm, comprehensively integrates the three parameters of the shortest distance, the best slope, and the least filling and excavation of the booster station construction road, and adaptively generates the corresponding optimal cost, the slope meets the requirements, and the shortest distance construction route design scheme;

(4) Booster station position calculator, which is used to calculate the average shortest distance to each wind turbine location on the basis of obtaining the shortest construction road design scheme, and apply the minimum average distance algorithm to determine the optimal booster station site;

(5) Construction earthwork calculator, used for intelligent estimation of construction earthwork for construction roads and booster stations.

Preferably, the system further includes: (6) an interactive device, the user uses the interactive device to provide the interactive input of the road width, slope and/or turning radius threshold of the booster station construction road as a constraint condition, so that in the construction road design In the site selection of the booster station, avoid curves exceeding the above threshold, and select the construction route and booster station site that meet the road width, slope requirements and/or have the least number of curves under the premise of ensuring safety and accessibility.

Preferably, the system further includes: (7) a display and an interface, which are used to display the automatic route selection of the construction road in the wind farm, the two-dimensional construction drawing of the booster station, and the estimated value of the construction earthwork of the alternative scheme.

Preferably, the data collector adopts an unmanned aerial vehicle and uses aerial photogrammetry technology to realize the acquisition of high-precision terrain image data of wind farms from point to surface and from surface to belt.

The object of the present invention is also to provide a method for estimating earthwork based on the automatic line selection of construction roads in wind farms, comprising the following steps:

(1) Data acquisition, collecting complete 3D topographical data of the geographical scene of the road in the wind farm, and using UAV aerial photogrammetry technology to realize the acquisition of high-precision topographic image data of the wind farm from point to surface and from surface to belt;

(2) Establish a three-dimensional field model of the wind farm based on the seamless fit of the terrain model;

(3) According to the different needs of the wind power industry, dynamically adjust the cost function of factors affecting the construction of roads and booster stations, and introduce cost functions to quantify the degree of influence of different factors affecting the construction of roads and booster stations on line planning;

(4) Based on the A* path-finding algorithm, comprehensively integrate the three parameters of the shortest distance, the best slope, and the least filling and excavation for the booster station construction, and adaptively generate the corresponding construction road design plan with the best cost, the slope that meets the requirements, and the shortest distance ;

(5) On the basis of the optimal construction road design, calculate the average shortest distance to each wind turbine location, and apply the minimum average distance algorithm to determine the optimal location of the booster station;

(6) Estimate the construction earth volume for the construction of roads and booster stations.

Preferably, the step (2) includes: performing integrated database building management on the topographic image data of the wind farm, organizing and dividing the topographic data by using the "uniform block + pyramid layering" technology, and quickly establishing a three-dimensional scene of the wind farm.

Preferably, the calculation method of the step (3) cost function is as follows:

(3.1) Use Euclidean distance to calculate the distance between two nodes i( _xi ,y _i .z _i ), j(x _j ,y _j .z _j ) in three-dimensional space

(3.2) Let f _{slope_1} (dis) represent the cost function of the longitudinal slope, the slope from the starting point to the wind turbine location is α, and the slope between nodes is β _n , where n∈V, then the cost function of the longitudinal slope:

(3.3) Let f _{slope_c} (dis) represent the cost function of the transverse slope, and the transverse slope is γ, then the cost function of the transverse slope:

(3.4) Let f _earthwork (dis) represent the cost function of earth-rock filling and excavation at the step-up station, the straight line connecting node i and j is L _ij , and the terrain profile line where each search line is located is D _ij , which is higher than The part of L _ij is the excavation amount (recorded as Δ _excavation ), and the part below L _ij is the fill volume (recorded as _Δfill ). The triangle SL _ij formed by the straight section line connecting the nodes i and j is used to measure the excess The amount of work, that is, the cost function of earth and rock filling and excavation for the construction of the booster station

(3.5) Let the respective weights of longitudinal slope, transverse slope, earth and rock filling and excavation amount be: ∑ω _i =1,ω _i ∈(0,1),i=(1,2,3);

(3.6) The road planning cost function of booster station construction under the constraints of different influence factors is:

G=ω ₁ *f _{slope_1} (dis)+ω ₂ *f _{slope_c} (dis)+ω ₃ *f _earthwork (dis).

Preferably, the specific implementation steps of the step (4) are as follows:

(4.1) Establish a triangular network structure with irregular topography of the wind farm to generate a routing network;

(4.2) Find the starting point, that is, the triangle where the entry point is located, and search for its neighboring triangles;

(4.3) Determine whether the current triangle contains the end point, that is, the position of the fan point. If not, calculate the cumulative cost G(n) from the starting point to the current node and the estimated cost H(n) with the smallest cost from the current node to the end point. Obtain the comprehensive cost function F(n)=G(n)+H(n) of current node; If include, then have found terminal point, path search is finished, then carry out step (4.6);

(4.4) Select the triangle with the smallest H(n) among adjacent triangles;

(4.5) Continue to search the neighborhood triangle, and perform step (4.3), until the triangle where the end point is searched;

(4.6) Connect the centroid points of the triangles with the smallest H(n) cost selected each time to obtain the optimal cost path.

Preferably, the method further includes: the user provides the interactive input of road width, slope and/or turning radius thresholds of the booster station construction road as constraint conditions, so as to avoid curves exceeding the above-mentioned thresholds in the site selection of the booster station, Under the premise of ensuring safety and accessibility, select the booster station construction route that meets the road width, slope requirements and/or has the fewest curves.

Preferably, the method further includes: displaying the automatic route selection of the construction road in the wind farm, the two-dimensional construction drawing of the booster station, and the estimated value of the construction earthwork of the alternative scheme.

Beneficial effects of the present invention:

The design idea of the present invention lies in the intelligentization of the booster station site selection system and method based on the automatic route selection of the road in the wind farm and the design of the site selection algorithm, comprehensively considering the factors affecting the construction cost of wind power construction, such as distance, slope, and filling and excavation volume , Automatically realize the optimal design of roads for wind farm construction projects, and use the average shortest distance algorithm to intelligently select the location of the booster station. The site selection result of the booster station based on the automatic route selection of the road in the wind farm proposed by the present invention improves the accuracy of wind power engineering design, avoids the increase of engineering cost caused by the lack of experience of designers, and reduces the booster voltage of the wind power industry. The manpower and material cost and time consumption of station design have improved the construction efficiency of wind power projects, improved the design efficiency of wind power booster station projects, and made the integrated design of wind power projects more flexible, intelligent and rational.

Those skilled in the art will be more aware of the above and other objects, advantages and features of the present invention according to the following detailed description of specific embodiments of the present invention in conjunction with the accompanying drawings.

Description of drawings

Hereinafter, some specific embodiments of the present invention will be described in detail by way of illustration and not limitation with reference to the accompanying drawings. The same reference numerals in the drawings designate the same or similar parts or parts. Those skilled in the art will appreciate that the drawings are not necessarily drawn to scale. The objectives and features of the present invention will be more apparent in consideration of the following description in conjunction with the accompanying drawings, in the accompanying drawings:

Accompanying drawing 1 is the block diagram of the construction earthwork quantity estimation system based on the automatic line selection of the construction road in the wind farm according to the embodiment of the present invention;

Accompanying drawing 2 is the flowchart of the method for estimating the amount of construction earthwork based on the automatic line selection of the construction road in the wind farm according to an embodiment of the present invention;

Accompanying drawing 3 is a three-dimensional topographic map of a certain wind farm according to an embodiment of the present invention;

Accompanying drawing 4 is the location selection function demonstration of a certain wind farm booster station according to the embodiment of the present invention;

Accompanying drawing 5 is according to the embodiment of the present invention the demonstration diagram of the automatic line selection result of the construction road of a booster station of a certain wind farm;

Accompanying drawing 6 is a two-dimensional construction modeling drawing of a booster station construction road of a certain wind farm according to an embodiment of the present invention.

Detailed ways

This embodiment is mainly aimed at the construction of a wind farm for wind power generation in a certain city in Xinjiang, the design of the road for the construction of the wind power booster station and the estimation of the construction earthwork volume after the site selection of the booster station. The equipment that needs to be transported for the construction roads on the site mainly includes the main engine of the wind turbine, the hub, the blade and the tower; The equipment used at the assembly site is bulky, consumes a large amount of raw materials, and is extremely inconvenient to transport. Therefore, the slope of the road must be considered in the design of the road to ensure the successful traction and transportation of the equipment.

Referring to Fig. 1, it is a kind of earthwork estimation system based on the automatic line selection of the construction road in the wind farm according to the embodiment of the present invention, the system includes: (1) data collector, used to collect the geographical scene of the road in the wind farm The complete 3D terrain data of the wind farm is obtained by using unmanned aerial vehicles and aerial photogrammetry technology to achieve high-precision terrain image data acquisition of wind farms from point to surface and from surface to belt; (2) Digital terrain model generator, used to establish The three-dimensional model of the wind farm seamlessly fitted with the terrain model; (3) The path planner, based on the A* path-finding algorithm, integrates the three parameters of the shortest distance, the best slope, and the least filling and excavation of the booster station construction road, and is self-adaptive Generate the corresponding cost-optimized, slope-compliant and shortest booster station construction route design scheme; (4) booster station location calculator, used to calculate the shortest booster station construction road design scheme The average shortest distance to each wind turbine location, apply the minimum average distance algorithm to determine the optimal location of the booster station; (5) Construction earthwork calculator, used to calculate the construction earthwork for the construction of roads and booster stations Intelligent estimation; (6) interactive equipment, the user uses the interactive equipment to provide the interactive input of construction road road width, slope and/or turning radius threshold as a constraint condition, thereby avoiding exceeding For the curves with the above thresholds, under the premise of ensuring safety and accessibility, select the construction route and booster station site that meet the road width, slope requirements and/or the least curves; (7) Display and interface, used to display wind power Automatic route selection of construction roads in the site, two-dimensional construction drawings of booster stations and estimates of construction earthwork volumes for alternative schemes.

Referring to Fig. 2, a flow chart of an earthwork estimation method based on automatic line selection of construction roads in a wind farm according to an embodiment of the present invention includes the following steps:

(1) Data acquisition, collecting complete 3D topographical data of the geographical scene of the road in the wind farm, and using UAV aerial photogrammetry technology to realize the acquisition of high-precision topographic image data of the wind farm from point to surface and from surface to belt;

(2) Referring to Figure 3, a three-dimensional field model of the wind farm based on the seamless fit of the terrain model is established, and the integrated database management of the topographic image data of the wind farm is carried out. Organize and divide to quickly build a 3D wind farm scene;

(3) According to the different needs of the wind power industry, dynamically adjust the cost function of factors affecting the construction of roads and booster stations, and introduce a cost function to quantify the degree of influence of different factors affecting the construction of roads and booster stations on line planning. The cost function The calculation method is as follows:

(3.1) Use Euclidean distance to calculate the distance between two nodes i( _xi ,y _i .z _i ), j(x _j ,y _j .z _j ) in three-dimensional space

(3.2) Let f _{slope_1} (dis) represent the cost function of the longitudinal slope, the slope from the starting point to the wind turbine location is α, and the slope between nodes is β _n , where n∈V, then the cost function of the longitudinal slope:

(3.3) Let f _{slope_c} (dis) represent the cost function of the transverse slope, and the transverse slope is γ, then the cost function of the transverse slope:

(3.4) Let f _earthwork (dis) represent the cost function of earth-rock filling and excavation at the step-up station, the straight line connecting node i and j is L _ij , and the terrain profile line where each search line is located is D _ij , which is higher than The part of L _ij is the excavation amount (recorded as Δ _excavation ), and the part below L _ij is the fill volume (recorded as _Δfill ). The triangle SL _ij formed by the straight section line connecting the nodes i and j is used to measure the excess The amount of work, that is, the cost function of earth and rock filling and excavation for the construction of the booster station

(3.5) Let the respective weights of longitudinal slope, transverse slope, earth and rock filling and excavation amount be: ∑ω _i =1,ω _i ∈(0,1),i=(1,2,3);

(3.6) The road planning cost function of booster station construction under the constraints of different influence factors is:

G=ω ₁ *f _{slope_1} (dis)+ω ₂ *f _{slope_c} (dis)+ω ₃ *f _earthwork (dis).

(4) The user provides the interactive input of the construction road width, slope and/or turning radius threshold as constraint conditions, so as to avoid curves exceeding the above threshold in the construction road design and step-up station site selection, ensuring safety and Under the premise of accessibility, select the construction route and booster station site that meet the road width, slope requirements and/or the fewest curves. Based on the A* path-finding algorithm, the comprehensive distance is the shortest, the slope is optimal, and the booster station construction has the least filling and excavation. Three parameters, adaptively generate the corresponding construction road design scheme with the optimal cost, the slope meets the requirements and the shortest distance. The specific implementation steps are as follows:

(4.1) Establish a triangular network structure with irregular topography of the wind farm to generate a routing network;

(4.2) Find the starting point, that is, the triangle where the entry point is located, and search for its neighboring triangles;

(4.3) Determine whether the current triangle contains the end point, that is, the position of the fan point. If not, calculate the cumulative cost G(n) from the starting point to the current node and the estimated cost H(n) with the smallest cost from the current node to the end point. Obtain the comprehensive cost function F(n)=G(n)+H(n) of current node; If include, then have found terminal point, path search is finished, then carry out step (4.6);

(4.4) Select the triangle with the smallest H(n) among adjacent triangles;

(4.5) Continue to search the neighborhood triangle, and perform step (4.3), until the triangle where the end point is searched;

(4.6) Connect the centroid points of the triangles with the minimum cost of H(n) selected each time to obtain the optimal cost path;

(5) Referring to Figure 4, on the basis of optimal construction road design, calculate the average shortest distance to each wind turbine location, and apply the minimum average distance algorithm to determine the optimal location of the booster station;

(6) Estimate the construction earthwork volume of the construction road and booster station construction. For the projects involved in this embodiment, the estimated content includes:

Wind field road: Calculate the length of the road according to the drawings, and calculate the earth and stone volume by using the section method;

Fan hoisting platform: Calculate the area according to the design drawings, and use the grid to calculate the earthwork;

Excavation of foundation earth and stone: Calculated according to the rules of "Code for Valuation of Bill of Quantities of Construction Projects (2008)", which stipulates that the calculation shall be based on the area of the foundation cushion multiplied by the excavation depth;

Foundation concrete: Calculated in accordance with the rules of "Code for Valuation of Bill of Quantities of Construction Projects (2008)", without deducting the volume occupied by internal steel bars and pre-embedded iron;

Cushion concrete: Calculated by volume according to the size shown in the design diagram, without deducting the volume occupied by the steel bars in the components and the pre-embedded iron;

Earthwork backfill: the development volume of the foundation pit minus the volume of the fan foundation and cushion;

Box substation foundation: the sub-items are the same as the foundation earthwork excavation, foundation concrete, cushion concrete and earthwork backfill items with the same calculation rules as above;

Earthwork for high and low voltage cable trenches: Calculated by the length of the center line of the pipeline according to the design diagram, and calculated by multiplying the cross section of the trench by the length of the trench.

(7) Referring to Figure 5 and Figure 6, it shows the automatic route selection of the construction road in the wind farm, the two-dimensional construction drawing of the booster station and the estimated value of the construction earthwork of the alternative scheme.

Using the system and method of the embodiment of the present invention, using the high-precision terrain three-dimensional model data in the wind farm area, taking the wind turbine location, existing road network and possible obstacle areas, based on the existing A* path-finding algorithm, comprehensive consideration The optimal route design scheme that affects the construction cost of wind power construction is the shortest distance, the gentlest slope, the least filling and excavation, and meets the turning radius of the vehicle. Combined with terrain data and the optimal route, the optimal location of the booster station is intelligently selected, and finally comprehensively estimated The engineering and economic cost accounting and control design difficulties of the construction earthwork in the wind farm are solved, thus realizing the comprehensive design work of the wind farm construction.

While the invention has been described with reference to certain illustrative embodiments, it is not to be limited by these embodiments but only by the appended claims. Those skilled in the art should understand that changes and modifications can be made to the embodiments of the present invention without departing from the protection scope and spirit of the present invention.

Claims (9)

1. An earthwork estimation system based on automatic route selection of construction roads in wind farms, characterized in that it comprises: (1) Data collector, used to collect the complete three-dimensional terrain data of the geographical scene of the road in the wind farm; (2) Digital terrain model generator, which is used to establish a three-dimensional field model of the wind farm based on the seamless fit of the terrain model; (3) The path planner, based on the A* path-finding algorithm, calculates the longitudinal slope cost function, the transverse slope cost function and the cost function of earth and rock filling and excavation based on the two-node Euclidean distance dis, and calculates the optimal cost by weighting the three, That is to say, the comprehensive distance, slope, and filling and excavation of the booster station construction road are optimized for calculation to obtain the optimal cost, and adaptively generate the corresponding booster station construction route design plan with the best cost, the slope meets the requirements, and the shortest distance; The calculation method of the cost function is as follows: (3.1) Use Euclidean distance to calculate the distance between two nodes i( _xi ,y _i .z _i ), j(x _j ,y _j .z _j ) in three-dimensional space

; (3.2) set

Represents the cost function of the longitudinal slope, the slope from the starting point to the wind turbine location is α, and the slope between nodes is β _n , where n∈V, then the cost function of the longitudinal slope:

; (3.3) Let f _{slope_c} (dis) represent the cost function of the transverse slope, and the transverse slope is γ, then the cost function of the transverse slope:

; (3.4) Let f _earthwork (dis) represent the cost function of earth-rock filling and excavation at the step-up station, the straight line connecting node i and j is L _ij , and the terrain profile line where each search line is located is D _ij , which is higher than The part of L _ij is the amount of excavation, which is recorded as Δ _excavation , and the part lower than L _ij is the amount of filling, which is recorded as _Δfilling . The redundant engineering is measured by the triangle SL _ij formed by the straight section line obtained by connecting nodes i and j Quantity, that is, the cost function of soil and rock filling and excavation for the construction of the booster station

; (3.5) Let the respective weights of longitudinal slope, transverse slope, earth and rock filling and excavation amount be: ∑ω _i =1,ω _i ∈(0,1),i=(1,2,3); (3.6) The road planning cost function of booster station construction under the constraints of different influence factors is: G＝ω ₁ *f _{slope_1} (dis)+ω ₂ *f _{slope_c} (dis)+ω ₃ *f _earthwork (dis) (4) Booster station location calculator, which is used to calculate the average shortest distance to each wind turbine location on the basis of obtaining the shortest booster station construction road design scheme, and apply the minimum average distance algorithm to determine the location of the booster station optimal address; (5) Construction earthwork calculator, used for intelligent estimation of construction earthwork for construction roads and booster stations. 2. A kind of earthwork estimation system based on the automatic line selection of the construction road in the wind farm according to claim 1, characterized in that it also includes: (6) interactive equipment, the user uses the interactive equipment to provide booster station construction The interactive input of road width, slope and/or turning radius thresholds is used as constraints, so that curves exceeding the above thresholds can be avoided in the design of construction roads and the location of booster stations, and selected under the premise of ensuring safety and accessibility Site selection of construction routes and booster stations that meet road width, slope requirements, and/or minimize curves. 3. A kind of earthwork estimation system based on the automatic line selection of the construction road in the wind farm according to claim 1, it is characterized in that it also includes: (7) a display and an interface for displaying the automatic route selection of the construction road in the wind farm. Line selection, two-dimensional construction drawings of the step-up station and the estimated value of the construction earthwork of the alternative scheme. 4. A kind of earthwork estimation system based on the automatic line selection of the construction road in the wind farm according to claim 1, characterized in that: the data collector adopts unmanned aerial vehicle, utilizes aerial photogrammetry technology, realizes by point Surface-to-surface and surface-to-belt wind farm high-precision terrain image data acquisition. 5. An earthwork estimation method based on the automatic line selection of construction roads in wind farms, using the earthwork estimation system based on the automatic line selection of construction roads in wind farms according to any one of claims 1-4, It is characterized in that comprising the steps of: (1) Data acquisition, collecting complete 3D topographical data of the geographical scene of the road in the wind farm, and using UAV aerial photogrammetry technology to realize the acquisition of high-precision topographic image data of the wind farm from point to surface and from surface to belt; (2) Establish a three-dimensional field model of the wind farm based on the seamless fit of the terrain model; (3) According to the different needs of the wind power industry, dynamically adjust the cost function of factors affecting the construction of roads and booster stations, and introduce cost functions to quantify the degree of influence of different factors affecting the construction of roads and booster stations on line planning; (4) Based on the A* path-finding algorithm, calculate the longitudinal slope cost function, the transverse slope cost function, and the cost function of earth and rock filling and excavation based on the two-node Euclidean distance dis, and calculate the optimal cost by weighting the three, that is, the comprehensive distance, The three parameters of slope and step-up station construction road filling and excavation are optimized and calculated to obtain the optimal cost, and the corresponding construction road design plan with the optimal cost, the slope meeting the requirements and the shortest distance is adaptively generated; (5) On the basis of the optimal construction road design, calculate the average shortest distance to each wind turbine location, and apply the minimum average distance algorithm to determine the optimal location of the booster station; (6) Estimate the construction earth volume for the construction of roads and booster stations. 6. A method for estimating earthwork based on automatic route selection of construction roads in a wind farm according to claim 5, characterized in that said step (2) includes: performing integrated database building management on wind farm terrain image data , using the "uniform block + pyramid layering" technology to organize and divide terrain data, and quickly establish a 3D wind farm scene. 7. A kind of earthwork estimation method based on automatic line selection of construction road in wind farm according to claim 5, it is characterized in that described step (4) concrete implementation steps are as follows: (4.1) Establish a triangular network structure with irregular topography of the wind farm to generate a routing network; (4.2) Find the starting point, that is, the triangle where the entry point is located, and search for its neighboring triangles; (4.3) Determine whether the current triangle contains the end point, that is, the position of the fan point. If not, calculate the cumulative cost G(n) from the starting point to the current node and the estimated cost H(n) with the smallest cost from the current node to the end point. Obtain the comprehensive cost function F(n)=G(n)+H(n) of current node; If include, then have found terminal point, path search is finished, then carry out step (4.6); (4.4) Select the triangle with the smallest H(n) among adjacent triangles; (4.5) Continue to search the neighborhood triangle, and perform step (4.3), until the triangle where the end point is searched; (4.6) Connect the centroid points of the triangles with the smallest H(n) cost selected each time to obtain the optimal cost path. 8. A method for estimating earthwork volume based on automatic line selection of construction roads in wind farms according to claim 5, further comprising: the user provides an interactive interactive method for the construction road width, slope and/or turning radius threshold Input as constraints, so as to avoid the curves exceeding the above threshold in the construction road design and booster station site selection, and select the construction that meets the road width, slope requirements and/or the least curves under the premise of ensuring safety and accessibility Site selection for lines and booster stations. 9. A method for estimating earthwork based on automatic line selection of construction roads in wind farms according to any one of claims 5-8, characterized in that it also includes: displaying automatic line selection of construction roads in wind farms, boosting The two-dimensional construction drawings of the station and the estimated value of the construction earthwork of the alternative scheme.

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