CN113486429B - Automatic construction method of space intersection structure based on interpolation algorithm - Google Patents

Automatic construction method of space intersection structure based on interpolation algorithm Download PDF

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CN113486429B
CN113486429B CN202110782428.6A CN202110782428A CN113486429B CN 113486429 B CN113486429 B CN 113486429B CN 202110782428 A CN202110782428 A CN 202110782428A CN 113486429 B CN113486429 B CN 113486429B
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elevation
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贾璐
吕憬
洪可
支清
罗健
陈义想
颜敏容
李文
唐文龙
黄剑涛
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Zhongmei Engineering Group Ltd
Nanchang University
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Abstract

The invention relates to the technical field of civil and municipal engineering, and discloses an interpolation algorithm-based automatic construction method of a space intersection structure. The invention is operated on a programming platform, and utilizes a computer programming statement to realize the encryption and data matching of the elevation control point and automatically generate a space intersection structure entity. The invention can well improve the design precision of the space intersection structure, and meanwhile, the attribute management information is mounted in the space intersection structure model, thereby effectively improving the engineering information management efficiency and controlling the construction quality.

Description

Automatic space intersection structure building method based on interpolation algorithm
Technical Field
The invention relates to the technical field of civil and municipal engineering, in particular to a method for realizing automatic construction of a space intersection structure by encrypting high-range control point positions of the space intersection structure by utilizing an interpolation algorithm based on a BIM (building information modeling) technology.
Background
The Building Information model (Building Information Modeling) is based on various relevant Information data of a construction engineering project, is established, and simulates real Information of a Building through digital Information. The method has five characteristics of harmony, simulation, optimization and graphing.
The design function of the BIM is the basis of the application of the BIM technology, and the subsequent series of BIM functions can be completed only by the designed model. Therefore, efficiency and precision of the BIM design are always one of the main requirements for applying the BIM technology in the process of model creation. Such as the Revit family of software available from Autodesk corporation, although the software itself has powerful functions, improvements are needed in the efficiency and accuracy of model creation, particularly in the spatial rendezvous architecture. The geometric shape of the space intersection structure is complex, direct lofting generation cannot be achieved in the process of establishing a space intersection structure model by taking Revit as a platform, manual independent operation and adjustment are needed for establishing the model, a great deal of energy is consumed, and the efficiency is extremely low. In addition, the number of elevation control point positions of a part of intersection structure design drawings is limited, when the curved surface graph of the space intersection structure is fitted through point collection, the fitting effect is poor due to the fact that fitting samples are insufficient, and the final space intersection structure model cannot meet the design requirements of different occasions.
Disclosure of Invention
The invention aims to provide an automatic construction method of a space intersection structure based on an interpolation algorithm, and aims to solve the technical problems of low efficiency and poor effect when the existing software is used for establishing a space intersection structure model.
In order to realize the purpose, the invention adopts the following technical scheme:
an automatic construction method of a space intersection structure based on an interpolation algorithm comprises the following steps:
the method comprises the following steps: interacting the vertical design drawing with the control point position expression elevation to a programming platform, matching point position data of the surface point positions of the intersection structure, and outputting a result to a control point coordinate information table;
step two: interacting the vertical design drawing expressing the elevation by the contour line to a programming platform, matching point position data of the surface point position of the intersection structure, and outputting a result to a control point coordinate information table;
step three: judging whether the control point positions are enough, if not, encrypting the elevation control points by using a spatial interpolation algorithm, and inputting an interpolation result into the elevation control point coordinate information table created in the step;
step four: importing an elevation control point coordinate information table in a programming platform environment, and creating all elevation control points;
step five: forming a terrain surface in a programming platform based on the created elevation control points, acquiring a basic geometric graph mesh of the terrain surface, and preliminarily creating a three-dimensional curved surface of the intersection structure;
step six: extracting the outline graph of the intersection structure in the vertical design drawing, creating a stretching entity, and intersecting the three-dimensional curved surface created in the step five to obtain a final surface three-dimensional curved surface of the intersection structure;
step seven: creating an intersection structure entity model in a programming platform based on the intersection structure surface curved surface;
step eight: outputting the intersection structure model in the programming platform to a design platform to become a design platform model primitive;
step nine: and adding attribute management information including parameter information such as material, category and the like for the rendezvous structure model in the design platform.
The point location data matching in the first step and the second step refers to data matching between the elevation control point location and corresponding elevation information.
The spatial interpolation algorithm used in the third step is a kriging interpolation algorithm, but is not limited to the kriging interpolation algorithm.
The attribute management information added in the above step nine includes, but is not limited to, the enumerated information types.
Compared with the prior art, the invention has the beneficial effects that:
the invention utilizes the current mainstream BIM software design platform, uses a programming platform, and is linked with AutoCAD through a computer programming program to automatically extract encrypted elevation control point positions and match coordinate information, and finally generates a space intersection structure model. Compared with other prior art, the invention has the following advantages:
1. the invention automatically generates a space intersection structure model by extracting two-dimensional drawing information in AutoCAD to guide construction.
2. The invention designs a point location data matching algorithm, which automatically matches elevation control points with corresponding elevation information.
3. According to the invention, point location encryption of the elevation control points is carried out by adopting a spatial interpolation algorithm, so that the accuracy of a spatial intersection structure model is improved.
4. Attribute management information can be added into the space intersection structure model, and the engineering information management efficiency is effectively improved.
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The present invention will be described in further detail with reference to the accompanying drawings.
Fig. 1 is a general flow chart of the present invention.
Fig. 2 is a flow chart of point location data matching based on a control point location vertical plan.
Fig. 3 is a flow chart of point location data matching based on contour vertical plans.
FIG. 4 is a flow chart for fitting a surface curve to a converging structure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings and embodiments. The embodiments described herein are only for explaining the technical solution of the present invention and are not limited to the present invention.
The embodiment is explained by taking a road plane intersection of road engineering as an example.
The model in this embodiment is designed by using BIM design platform Revit software and its secondary development platform Dynamo released by Autodesk, and the operation steps are as follows (see fig. 1):
the method comprises the following steps: interacting the vertical design drawing expressing the elevation by the control point position to a programming platform, matching point position data of the surface point position of the intersection structure, and outputting a result to a control point coordinate information table (see fig. 2);
1. selecting all control point position circle primitives and elevation character labels in AutoCAD;
2. importing a control point position circle primitive and elevation characters to be marked to a Dynamo environment through an ActiveX technology;
3. extracting X, Y coordinates of the circle center of the circle drawing element;
4. extracting the position and the content of a geometric figure marked by the elevation characters;
5. calculating the distance between the circle center point and the elevation mark placing point, and forming an array list;
6. taking the value with the minimum distance in each group of array lists, wherein the elevation marking placement point corresponding to the value is the closest point to the central point;
7. matching the corresponding circle center coordinates with the corresponding elevation information;
8. and calling a data ExportExcel function, and outputting the circle center coordinates and the corresponding elevation information to a control point coordinate information table.
Step two: interacting the vertical design drawing expressing the elevation by the contour line to a programming platform, matching point position data of the surface point position of the intersection structure, and outputting a result to a control point coordinate information table (see figure 3);
1. selecting all contour lines in AutoCAD;
2. introducing contour lines to a Dynamo environment through an ActiveX technology;
3. extracting the geometric linear shape and length elevation attributes of the contour line;
4. extracting the starting point position of each contour line;
5. extracting the endpoint of each contour line;
6. linking the length of the contour line, calling if statement to judge the parameter a, if the length of the contour line is more than or equal to the parameter a, dividing the length by the integer value of the parameter a, namely, taking the number of points of the contour line; if the length of the contour line is smaller than the parameter a, outputting a value b, namely taking b points of the line;
7. uniformly taking points on the contour line according to the number according to the judgment rule in the step 6;
8. acquiring X, Y and Z coordinate information of corresponding elevation control point positions;
9. invoking a data.ExportExcel function, and outputting the elevation control points and X, Y and Z coordinate information thereof to a table;
10. and inputting elevation control point coordinate information of the marked intersection center elevation control point and the marked intersection corner in the drawing to a height control point coordinate information table.
Step three: judging whether the control point location is enough, if not, encrypting the elevation control point by using a spatial interpolation algorithm, and inputting an interpolation result into an elevation control point coordinate information table created in the step;
1. the weight coefficients need to satisfy unbiased constraints and optimal coefficient conditions as follows:
Figure BDA0003157550810000041
Figure BDA0003157550810000042
2. the hypothetical conditions for kriging interpolation are as follows:
E[z(x,y)]＝E[z]＝c
Var[R(x,y)]＝σ2
assuming the condition that the spatial attribute Z is uniform, there is the same expectation c and variance σ for any point (x, y) in space2。
3. Calculating a weight coefficient lambdai：
Interpolation according to ordinary krigingThe method can obtain the solving weight coefficient lambda under the assumption condition, unbiased constraint and optimal coefficient conditioniThe system of linear equations of:
Figure BDA0003157550810000051
the corresponding matrix form is:
Figure BDA0003157550810000052
wherein gamma isijIs a semivariance function, which is defined as:
Figure BDA0003157550810000053
5. solving the effective sample attribute value in the influence range of the point to be estimated:
Figure BDA0003157550810000054
wherein Z0Indicating point (x)0,y0) An estimate of the property of; lambda [ alpha ]iA weight representing a measured value of the ith position; ziRepresenting valid sample attribute values within the influence range of the point to be estimated.
6. And (4) obtaining the spatial coordinates of the encrypted points, and inputting the spatial coordinates into the elevation control point coordinate information table created in the step three.
Step four: importing an elevation control point coordinate information table in a programming platform environment, and creating all elevation control points;
1. selecting a coordinate information table of an elevation control point in a Dynamo environment;
2. reading the coordinate data of the elevation control points, and importing an elevation control point coordinate information table into Dynamo;
3. extracting coordinate data of each elevation control point in an elevation control point coordinate information table, and creating a point location list of the elevation control points;
4. all elevation control points are created in the Dynamo environment.
Step five: forming a terrain surface in the programming platform based on the created elevation control points, acquiring basic geometric graph meshes of the terrain surface, and preliminarily creating a three-dimensional curved surface of the intersection structure (see fig. 4);
1. extracting a point location list of the elevation control points created in the fourth step from the Dynamo environment;
2. creating a terrain surface of the road plane intersection according to the point location list;
3. extracting all basic geometric figure grids from the terrain surface;
4. and preliminarily fitting the three-dimensional curved surface of the intersection structure based on all the basic geometric figure grids extracted in the step 3.
Step six: extracting the outline graph of the intersection structure in the vertical design drawing, creating a stretching entity, and intersecting the three-dimensional curved surface created in the fifth step to obtain a final surface three-dimensional curved surface of the intersection structure (see fig. 4);
1. selecting a profile graph of a road plane intersection in a vertical design drawing in AutoCAD;
2. importing the outline graph to a Dynamo environment through an ActiveX technology;
3. determining a normal line position;
4. stretching the outline graph towards the normal direction according to a specified distance to create a stretched entity;
5. and intersecting the stretched entity with the three-dimensional curved surface in the last step to obtain an intersecting geometric figure, namely the surface three-dimensional curved surface of the road plane intersection.
Step seven: creating an intersection structure solid model in a programming platform based on the intersection structure surface curved surface;
1. setting a thickness value of the road plane intersection model;
2. and thickening the three-dimensional curved surface of the road plane intersection along the specified direction to complete the model establishment of the road plane intersection.
Step eight: outputting the intersection structure model in the programming platform to a design platform to become a design platform model primitive;
step nine: and adding attribute management information including parameter information such as material, category and the like for the rendezvous structure model in the design platform.
The calculation and judgment in all the steps are realized by using a design script language and calling related functions in an application programming interface of BIM modeling platform Revit software released by Autodesk.
The invention is suitable for the automatic construction process of all space intersection structures, and can be used for rapid design no matter how the surface curved surface form of the intersection structure is, the number of elevation control points is large, and the thickness of the intersection structure is large, and construction is carried out according to a design model.
The foregoing merely represents preferred embodiments of the invention, which are described in some detail and detail, and therefore should not be construed as limiting the scope of the invention. It should be noted that various changes, modifications and substitutions may be made by those skilled in the art without departing from the spirit of the invention, and all are intended to be included within the scope of the invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (1)

1. An automatic construction method of a space intersection structure based on an interpolation algorithm is characterized in that: the method comprises the following steps:
the method comprises the following steps: interacting the vertical design drawing expressing the elevation by the control point position to a programming platform, matching point position data of the surface point position of the intersection structure, and outputting a result to a control point coordinate information table;
1. selecting all control point position circle primitives and elevation character labels in AutoCAD;
2. importing a control point position circle primitive and elevation characters to be marked to a Dynamo environment through an ActiveX technology;
3. x, Y coordinates of the center of the circle drawing element are extracted;
4. extracting the position and the content of a geometric figure marked by the elevation characters;
5. calculating the distance between the circle center point and the elevation mark placing point, and forming an array list;
6. taking the value with the minimum distance in each group of array list, and taking the elevation marking placement point corresponding to the value as the closest point to the center point;
7. matching corresponding circle center coordinates and corresponding elevation information;
8. invoking a data.ExportExcel function, and outputting circle center coordinates and corresponding elevation information to a high-control point coordinate information table;
step two: interacting the vertical design drawing expressing the elevation by the contour line to a programming platform, matching point position data of the surface point position of the intersection structure, and outputting a result to a control point coordinate information table;
1. selecting all contour lines in AutoCAD;
2. introducing contour lines to a Dynamo environment through an ActiveX technology;
3. extracting the attributes of geometric line shape and length elevation of the contour line;
4. extracting the starting point position of each contour line;
5. extracting the endpoint of each contour line;
6. linking the length of the contour line, calling if statement to judge the parameter a, if the length of the contour line is more than or equal to the parameter a, dividing the length by the integer value of the parameter a, namely, taking the number of points of the contour line; if the length of the contour line is less than the parameter a, outputting a value b, namely taking b points from the line;
7. uniformly taking points on the contour line according to the number according to the judgment rule in the step 6;
8. acquiring X, Y and Z coordinate information of corresponding elevation control point positions;
9. invoking a data ExportExcel function, and outputting elevation control points and X, Y and Z coordinate information thereof to a table;
10. inputting elevation control point coordinate information of marked intersection center elevation control points and corners in a drawing to a height control point coordinate information table;
step three: judging whether the control point positions are enough, if not, encrypting the elevation control points by using a spatial interpolation algorithm, and inputting an interpolation result into the elevation control point coordinate information table created in the step;
1. the weight coefficients need to satisfy unbiased constraints and optimal coefficient conditions as follows:
Figure FDA0003538218700000021
Figure FDA0003538218700000022
2. the hypothetical conditions for kriging interpolation are as follows:
E[z(x,y)]＝E[z]＝c
Var[R(x,y)]＝σ2
assuming the condition that the spatial attribute Z is uniform, there is the same expectation c and variance σ for any point (x, y) in space2；
3. Calculating a weight coefficient lambdai：
According to the assumed conditions of the common kriging interpolation method and the unbiased constraint and optimal coefficient conditions, the solved weight coefficient lambda can be obtainediThe system of linear equations of:
Figure FDA0003538218700000023
the corresponding matrix form is:
Figure FDA0003538218700000031
wherein gamma isijIs a semivariance function, which is defined as:
Figure FDA0003538218700000032
5. solving the effective sample attribute value in the influence range of the point to be estimated:
Figure FDA0003538218700000033
wherein Z0Indicating point (x)0,y0) An estimate of the property of; lambda [ alpha ]iA weight representing a measured value of the ith position; ziRepresenting effective sample attribute values in the influence range of the point to be estimated;
6. obtaining the spatial coordinates of the encryption point, and inputting the spatial coordinates into the elevation control point coordinate information table created in the step three;
step four: importing an elevation control point coordinate information table in a programming platform environment, and creating all elevation control points;
1. selecting a coordinate information table of an elevation control point in a Dynamo environment;
2. reading the coordinate data of the elevation control points, and importing an elevation control point coordinate information table into Dynamo;
3. extracting coordinate data of each elevation control point in an elevation control point coordinate information table, and creating a point location list of the elevation control points;
4. creating all elevation control points in a Dynamo environment;
step five: forming a terrain surface in a programming platform based on the created elevation control points, acquiring basic geometric figure grids of the terrain surface, and preliminarily creating a three-dimensional curved surface of the intersection structure;
1. extracting a point location list of the elevation control points created in the fourth step from the Dynamo environment;
2. creating a terrain surface of the road plane intersection according to the point location list;
3. extracting all basic geometric figure grids from the terrain surface;
4. preliminarily fitting all basic geometric figure grids extracted in the step 3 into a three-dimensional curved surface of an intersection structure;
step six: extracting the outline graph of the intersection structure in the vertical design drawing, creating a stretching entity, and intersecting the three-dimensional curved surface created in the step five to obtain a final surface three-dimensional curved surface of the intersection structure;
1. selecting a profile graph of a road plane intersection in a vertical design drawing in AutoCAD;
2. importing the outline graph to a Dynamo environment through an ActiveX technology;
3. determining a normal line position;
4. stretching the outline graph towards the normal direction according to a specified distance to create a stretched entity;
5. intersecting the stretched entity with the three-dimensional curved surface in the previous step to obtain an intersecting geometric figure, namely the surface three-dimensional curved surface of the road plane intersection;
step seven: creating an intersection structure solid model in a programming platform based on the intersection structure surface curved surface;
1. setting a thickness value of the road plane intersection model;
2. thickening the three-dimensional curved surface of the road plane intersection along the specified direction to complete the model creation of the road plane intersection;
step eight: outputting the intersection structure model in the programming platform to a design platform to become a design platform model primitive;
step nine: and adding attribute management information for the rendezvous structure model in the design platform.
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Inventor after: Jia Lu

Inventor after: Chen Yixiang

Inventor after: Hong Ke

Inventor after: Zhi Qing

Inventor after: Luo Jian

Inventor after: Yan Minrong

Inventor after: Li Wen

Inventor after: Tang Wenlong

Inventor before: Jia Lu

Inventor before: Huang Jiantao

Inventor before: Lv Jing

Inventor before: Hong Ke

Inventor before: Zhi Qing

Inventor before: Luo Jian

Inventor before: Chen Yixiang

Inventor before: Yan Minrong

Inventor before: Li Wen

Inventor before: Tang Wenlong