CN114119892B - Three-dimensional digital road network construction method based on BIM and GIS technologies - Google Patents
Three-dimensional digital road network construction method based on BIM and GIS technologies Download PDFInfo
- Publication number
- CN114119892B CN114119892B CN202111444643.1A CN202111444643A CN114119892B CN 114119892 B CN114119892 B CN 114119892B CN 202111444643 A CN202111444643 A CN 202111444643A CN 114119892 B CN114119892 B CN 114119892B
- Authority
- CN
- China
- Prior art keywords
- model
- dimensional digital
- road network
- building
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000010276 construction Methods 0.000 title claims abstract description 28
- 238000005516 engineering process Methods 0.000 title claims abstract description 16
- 238000012545 processing Methods 0.000 claims description 24
- 238000000034 method Methods 0.000 claims description 19
- 238000004364 calculation method Methods 0.000 claims description 15
- 239000000463 material Substances 0.000 claims description 6
- 238000013461 design Methods 0.000 claims description 5
- 229910000975 Carbon steel Inorganic materials 0.000 claims description 3
- 239000004677 Nylon Substances 0.000 claims description 3
- NIXOWILDQLNWCW-UHFFFAOYSA-N acrylic acid group Chemical group C(C=C)(=O)O NIXOWILDQLNWCW-UHFFFAOYSA-N 0.000 claims description 3
- 239000010962 carbon steel Substances 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 claims description 3
- 229920001778 nylon Polymers 0.000 claims description 3
- 239000011347 resin Substances 0.000 claims description 3
- 229920005989 resin Polymers 0.000 claims description 3
- 238000012876 topography Methods 0.000 claims description 3
- 238000005520 cutting process Methods 0.000 claims description 2
- 238000007689 inspection Methods 0.000 claims description 2
- 230000000007 visual effect Effects 0.000 abstract description 9
- 238000005192 partition Methods 0.000 abstract 1
- 238000007726 management method Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012805 post-processing Methods 0.000 description 3
- RZVHIXYEVGDQDX-UHFFFAOYSA-N 9,10-anthraquinone Chemical compound C1=CC=C2C(=O)C3=CC=CC=C3C(=O)C2=C1 RZVHIXYEVGDQDX-UHFFFAOYSA-N 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 238000013523 data management Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 238000013439 planning Methods 0.000 description 2
- 238000000638 solvent extraction Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000012217 deletion Methods 0.000 description 1
- 230000037430 deletion Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64C—AEROPLANES; HELICOPTERS
- B64C39/00—Aircraft not otherwise provided for
- B64C39/02—Aircraft not otherwise provided for characterised by special use
- B64C39/024—Aircraft not otherwise provided for characterised by special use of the remote controlled vehicle type, i.e. RPV
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64D—EQUIPMENT FOR FITTING IN OR TO AIRCRAFT; FLIGHT SUITS; PARACHUTES; ARRANGEMENTS OR MOUNTING OF POWER PLANTS OR PROPULSION TRANSMISSIONS IN AIRCRAFT
- B64D47/00—Equipment not otherwise provided for
- B64D47/08—Arrangements of cameras
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64U—UNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
- B64U2101/00—UAVs specially adapted for particular uses or applications
- B64U2101/30—UAVs specially adapted for particular uses or applications for imaging, photography or videography
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Geometry (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
- Aviation & Aerospace Engineering (AREA)
- Remote Sensing (AREA)
- Software Systems (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Computer Graphics (AREA)
- Structural Engineering (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Evolutionary Computation (AREA)
- Civil Engineering (AREA)
- Architecture (AREA)
- Data Mining & Analysis (AREA)
- Processing Or Creating Images (AREA)
- Image Processing (AREA)
- Instructional Devices (AREA)
Abstract
The invention discloses a three-dimensional digital road network construction method based on BIM and GIS technologies, which comprises the following steps: including many camera lenses unmanned aerial vehicle, many camera lenses unmanned aerial vehicle includes the organism, the lower extreme of organism is fixed with transparent protection cover, be equipped with five cameras in the transparent protection cover, the one end of camera is equipped with angle adjusting device, the lower extreme both sides of organism all are fixed with the undercarriage, three-dimensional digital road network construction method includes the following steps: s1, carrying out partition operation, adopting a multi-lens unmanned aerial vehicle to carry out oblique photography aerial survey operation, determining the project aerial survey range, and knowing the aerial survey landform. The invention can quickly and efficiently complete the construction of the three-dimensional digital road network model, well combine and link the building, the road model and the terrain model, greatly improve the visual effect of the three-dimensional digital environment while meeting the visual observation requirement, improve the reliability and the fault tolerance, and effectively improve the speed and the quality of the construction of the three-dimensional digital road network model.
Description
Technical Field
The invention relates to the technical field of three-dimensional road networks, in particular to a three-dimensional digital road network construction method based on BIM and GIS technologies.
Background
Geographic Information System (GIS) is sometimes called as "geoscience information system", which is a special and very important space information system, and is a technical system for collecting, storing, managing, calculating, analyzing, displaying and describing the related geographic distribution data in the whole or part of earth surface (including atmosphere) space under the support of computer hardware and software systems, and Building Information Model (BIM) is a complete information model, which can integrate engineering information, processes and resources of engineering projects at different stages in the whole life cycle into one model, and is convenient for each engineering participant to use. The real information of the building is simulated by the three-dimensional digital technology, and an information model with mutual coordination and internal consistency is provided for engineering design and construction.
The traditional management of the road by utilizing a computer is limited in the aspect of word form processing, a large amount of information inquiry and information processing, especially the analysis and processing of space information are designed, the integrated comprehensive processing and analysis of road attribute and space data are difficult to realize on the traditional drawing, the visualization and virtual reality are more difficult to realize, the planning, design and management convenience of the road network can be improved by establishing a three-dimensional digital road network, the existing three-dimensional digital road network construction speed based on BIM and GIS technology is slower, the efficiency is lower, fusion connection between models cannot be realized well, the visual observation requirement is difficult to meet, meanwhile, the error rate is higher in the complicated process, the quality is not guaranteed, and the three-dimensional digital road network construction method based on the BIM and GIS technology is designed for solving the problems.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a three-dimensional digital road network construction method based on BIM and GIS technologies.
The invention aims to solve the technical problems, and adopts the following technical scheme:
a three-dimensional digital road network construction method based on BIM and GIS technology comprises the following steps:
S1, collecting data: the method comprises the steps of performing regional operation, performing oblique photography aerial survey operation by adopting a multi-lens unmanned aerial vehicle, determining a project aerial survey range, knowing aerial survey topography, performing reasonable flight frame sub-division, optimizing an aerial photography scheme, and automatically completing aerial survey operation by the unmanned aerial vehicle according to a specified route and parameter setting after ground station setting and unmanned aerial vehicle assembly are completed, wherein an operator observes the unmanned aerial vehicle position and the ground station to adjust flight parameters in real time;
S2, data arrangement: performing GIS data processing of the aerial survey by ComtextCapture to generate basic data, strictly registering image positioning information through aerial triangulation calculation, automatically and accurately estimating the position, angle element and camera attribute of each image by selected parameters to obtain missing image information, performing monomerization processing on an inclined model, cutting the inclined photographic model by utilizing vector surfaces corresponding to buildings, roads, trees and the like, and physically separating a continuous triangular patch network;
S3, cluster processing: setting up a local area network, wherein one computer is used as a server, other computers in the local area network are used as nodes and are connected to the server to form a group, after a task is submitted, the server uniformly distributes subtasks to each node, after the subtasks are completed by the nodes, the processing result is returned to the server, and the new subtasks are accepted until the tasks are completed;
S4, building a model: the method comprises the steps of (1) understanding a space structure of a photo and a shooting scene through a rough 3D view generated through aerial triangulation calculation, adopting three-level mixed precision modeling to manufacture a building and a road model, importing satellite data of a construction area as a base map, positioning the building model and the model on the basis of the base map, extracting an intersection point and an overlapping point from a central line of a road, segmenting the road, generating a three-dimensional structure at the overlapping point according to a road design specification, generating a plane cross model at the intersection point, and generating a road surface model at a straight line road section;
S5, adjustment and inspection: overlapping the image data, the elevation data and the topographic data corresponding to the building in the construction area, extracting elevation data points in the ground area of the building, calculating the average elevation H of the elevation data points, giving the elevation mean value H of the bottom surface of the building, participating the bottom surface of the building with elevation attribute into the topographic network of the area, and well fusing and linking the building, the road model and the topographic model;
And S6, adjusting and checking the finished road network, performing format processing, loading a three-dimensional model, and finally establishing a three-dimensional digital road network model with sense of reality.
Further; in S1, many camera lenses unmanned aerial vehicle includes organism (1), the lower extreme of organism (1) is fixed with transparent safety cover (2), be equipped with five cameras (8) in transparent safety cover (2), the one end of camera (8) is equipped with angle adjusting device, the lower extreme both sides of organism (1) all are fixed with undercarriage (3).
Further; the angle adjusting device comprises an electric telescopic rod (4) and a sleeve (5) which are arranged at the lower end of a machine body (1), the electric telescopic rod (4) is located in the sleeve (5), five connecting rods (7) are connected to the lower end of the sleeve (5) in an equidistant rotating mode, connecting pieces (6) are fixed to one ends of the connecting rods (7), one ends of the five connecting pieces (6) are fixed to the lower end of the electric telescopic rod (4), and one end of a camera (8) is fixed to the other end of the connecting rod (7).
Further; the landing gear (3) is made of PA nylon resin material.
Further; the bright protection cover (2) is made of acrylic materials.
Further; the connecting rod (7) is made of carbon steel.
Compared with the prior art, the invention has at least one of the following beneficial effects:
In the invention, the data are collected, the partitioning operation is carried out, the multi-lens unmanned aerial vehicle is adopted to carry out the oblique photography aerial survey operation, the flight parameters are adjusted in real time by the staff and the ground station, the aerial survey precision and efficiency are improved, the geographic data and the image information in the area are collected, meanwhile, the POS data of the oblique aerial survey are recorded, the GIS data processing of the aerial survey is finished by ComtextCapture, the browsing and the post-processing are convenient, the image positioning information is strictly registered by aerial triangulation calculation, the position, the angle element and the camera attribute of each image are automatically and accurately estimated by the selected parameters, the missing image information is obtained, the quality of the three-dimensional digital road network model is improved, the oblique photography model is cut, the operations such as independent selection, attribute assignment, attribute inquiry, data management and the like are conveniently carried out on partial buildings in a sheet area in special situations, the cluster processing is carried out by constructing a local area network, the reliability and the fault tolerance are improved, the hardware cost can be effectively reduced, the operation capability equivalent to a high-performance computer is better exerted, the space structure of a photo and a shooting scene is understood through a rough 3D view generated by aerial triangulation calculation, a building model and model position positioning are carried out, the buffer zone boundary is generated by utilizing an automatic building topological space relationship, the problem of overlapping and merging among the polygons of the buffer zone is solved by adopting a polygon overlapping and merging algorithm, the complex calculation of determining arc segment selection through judging the polygon and curve containing relationship is avoided, the simplicity and the efficiency are improved, the building and road model and the terrain model are well fused and joined by superposing the image data, the elevation data and the terrain data corresponding to the building, the visual observation requirements are met, the visual effect of the three-dimensional digital environment is greatly improved, the completed road network is adjusted and checked, the later operation of the three-dimensional digital road network model is completed, the error rate of the road network model is reduced, the quality of the road network model is further improved, the construction of the three-dimensional digital road network model can be quickly and efficiently completed, the error rate and the error rate of the three-dimensional digital road network model are reduced, and the construction speed and the construction quality of the three-dimensional digital road network model are effectively improved.
Drawings
Fig. 1 is a schematic structural diagram of a unmanned aerial vehicle according to the present invention.
Fig. 2 is a schematic structural view of a camera angle adjusting device according to the present invention.
In the figure: 1 organism, 2 transparent safety cover, 3 undercarriage, 4 electric telescopic link, 5 sleeve, 6 connecting pieces, 7 connecting rods, 8 cameras.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1-2, a three-dimensional digital road network construction method based on BIM and GIS technique, including multi-lens unmanned aerial vehicle, multi-lens unmanned aerial vehicle includes organism 1, the lower extreme of organism 1 is fixed with transparent safety cover 2, transparent safety cover 2 adopts the acrylic material to make, transparent safety cover 2 plays protection camera 8 and helps the effect of shooing, be equipped with five cameras 8 in the transparent safety cover, the one end of camera 8 is equipped with angle adjusting device, the lower extreme both sides of organism 1 all are fixed with undercarriage 3, undercarriage 3 adopts the PA nylon resin material to make, high strength, high rigidity, the performance is excellent, make things convenient for the unmanned aerial vehicle to rise and fall, the omnidirectional shooting of camera has been guaranteed to five cameras, the convenience is through the contrast to obtain missing image information, three-dimensional digital road network construction method includes the following steps:
S1, carrying out oblique photography aerial survey operation by adopting a multi-lens unmanned aerial vehicle, determining an item aerial survey range, knowing aerial survey landforms, carrying out reasonable flight frame sub-division, optimizing an aerial photographing scheme, comprehensively considering factors such as flight control distance, battery consumption, topography, building distribution, measurement precision and the like before aerial survey operation, carrying out route planning and parameter setting by using ground station software, wherein the flight height, ground resolution and physical pixel size meet the triangle proportion relation, and after the ground station setting and the unmanned aerial vehicle assembly are completed, the aerial survey operation can be started, the unmanned aerial vehicle automatically completes aerial photographing tasks according to the designated route and parameter setting, and the data collected by oblique aerial survey comprises multi-angle image information of each photographing point and corresponding POS data. The image information is obtained by a multi-lens camera, the unmanned aerial vehicle carries the camera to take pictures of the ground equidistantly at a constant speed, the photos with the overlapping rate of 70% are collected, POS data are generated by the flight control system when the camera takes pictures, the POS data correspond to the photos one by one, the photos are endowed with rich information, the information comprises longitude and latitude, altitude, flying direction, flying gesture and the like, an operator observes the unmanned aerial vehicle position and the ground station to adjust flying parameters in real time, the flying parameters of the inclined aerial survey comprise altitude, speed, shooting interval, heading interval, sideways interval and the like, and the accuracy and efficiency of the aerial survey are improved;
S2, adopting ComtextCapture to finish GIS data processing of the aerial survey, generating basic data, comtextCapture being a parallel software system based on image automation for three-dimensional model construction, wherein a software modeling object is a static object, camera sensor attribute, photo position and attitude parameter, control point and other information are assisted, after aerial triangulation calculation and model reconstruction calculation are carried out, corresponding GIS achievements are output for browsing or post processing, image positioning information is strictly registered through aerial triangulation calculation, position, angle element and camera attribute of each image are automatically and accurately estimated by selected parameters, missing image information is obtained, in the aerial survey process, the accuracy of the corresponding attitude of a photo group is possibly influenced, so that the image information is lost, and ComtextCapture when three-dimensional reconstruction is carried out, each photo group is required to have very accurate attribute and corresponding attitude parameter, the inclined model is subjected to monomerization, a continuous triangular patch network is separated from physics by utilizing vector surfaces corresponding to buildings, roads, trees and other inclined photographic models, and special cases need to carry out independent inquiry, management attribute, operation data and other data are required to be carried out on partial buildings in a patch area;
S3, constructing a local area network, wherein one computer is used as a server, other computers in the local area network are used as nodes and are connected to the server to form a group, after a task is submitted, the server uniformly distributes subtasks to each node, after the subtasks are completed by the nodes, the processing result is returned to the server, and new subtasks are received until the tasks are completed, and compared with the data processing with a single machine, the clustering processing has higher reliability and fault tolerance rate, and when one node computer in the group fails, the subtasks originally distributed to the node are automatically distributed to other nodes for calculation; meanwhile, the clustering processing can reduce the cost and huge GIS data volume, and provides great test for the storage space and the data processing speed of a single machine, so that the hardware cost can be effectively reduced by clustering common computers, and the computing capacity equivalent to that of high-performance computers can be developed;
S4, understanding space structures of photos and shooting scenes through rough 3D views, adopting three-level mixed precision modeling to manufacture a building and a road model, importing satellite data of a construction area as a base map, carrying out construction model and model position positioning on the basis of the base map, extracting crossing points and overlapping points from a road center line, segmenting a road, generating a three-dimensional structure according to road design specifications at the overlapping points, generating a plane crossing model at the crossing points, generating a road surface model by a straight line road section, utilizing automatic generation of a buffer area boundary in a GIS technology and automatic construction of a topological space relation, enabling the buffer area boundary to be generated through automatic construction of the topological space relation, solving the problem of overlapping and merging among the polygons of the buffer area by utilizing an algorithm of overlapping and merging of polygons based on deletion rules of directed arcs on the nodes, avoiding complex calculation for determining arc segment taking and shed through judgment of the polygon and curve containing relation, and being more concise and efficient;
S5, overlapping the image data and the elevation data of the construction area and the topographic data corresponding to the building, extracting elevation data points in the ground area of the building, calculating the average elevation H of the elevation data points, endowing the elevation mean value H of the bottom surface of the building, participating the bottom surface of the building with elevation attribute into the topographic network of the area, well fusing and linking the building, the road model and the topographic model, and greatly improving the visual effect of the three-dimensional digital environment while meeting the visual observation requirement;
And S6, adjusting and checking the finished road network, carrying out format processing, then carrying out three-dimensional model loading, finally establishing a three-dimensional digital road network model with sense of reality, completing the post-operation of the three-dimensional digital road network model, reducing the error rate of the road network model, and improving the quality of the road network model.
According to the invention, the angle adjusting device comprises the electric telescopic rod 4 and the sleeve 5 which are arranged at the lower end of the machine body 1, the electric telescopic rod 4 is driven by the corresponding driving device, the electric telescopic rod 4 is positioned in the sleeve 5, the lower end of the sleeve 5 is connected with the five connecting rods 7 in an equidistant rotating manner, the connecting rods 7 are made of carbon steel and are firm and durable, one end of each connecting rod 7 is fixedly provided with a connecting piece 6, one end of each connecting piece 6 is fixedly arranged at the lower end of the electric telescopic rod 4, one end of the camera 8 is fixedly arranged at the other end of the connecting rod 7, the electric telescopic rod 4 drives the connecting rods 7 to rotate simultaneously through the connecting pieces 6, and then drives the camera 8 to rotate simultaneously.
In the invention, the data are collected, the partitioning operation is carried out, the multi-lens unmanned aerial vehicle is adopted to carry out the oblique photography aerial survey operation, the flight parameters are adjusted in real time by the staff and the ground station, the aerial survey precision and efficiency are improved, the geographic data and the image information in the area are collected, meanwhile, the POS data of the oblique aerial survey are recorded, the GIS data processing of the aerial survey is finished by ComtextCapture, the browsing and the post-processing are convenient, the image positioning information is strictly registered by aerial triangulation calculation, the position, the angle element and the camera attribute of each image are automatically and accurately estimated by the selected parameters, the missing image information is obtained, the quality of the three-dimensional digital road network model is improved, the oblique photography model is cut, the operations such as independent selection, attribute assignment, attribute inquiry, data management and the like are conveniently carried out on partial buildings in a sheet area in special situations, the cluster processing is carried out by constructing a local area network, the reliability and the fault tolerance are improved, the hardware cost can be effectively reduced, the operation capability equivalent to a high-performance computer is better exerted, the space structure of a photo and a shooting scene is understood through a rough 3D view generated by aerial triangulation calculation, a building model and model position positioning are carried out, the buffer zone boundary is generated by utilizing an automatic building topological space relationship, the problem of overlapping and merging among the polygons of the buffer zone is solved by adopting a polygon overlapping and merging algorithm, the complex calculation of determining arc segment selection through judging the polygon and curve containing relationship is avoided, the simplicity and the efficiency are improved, the building and road model and the terrain model are well fused and joined by superposing the image data, the elevation data and the terrain data corresponding to the building, the visual observation requirements are met, the visual effect of the three-dimensional digital environment is greatly improved, the completed road network is adjusted and checked, the later operation of the three-bit digital road network model is completed, the error rate of the road network model is reduced, and the quality of the road network model is further improved.
Although the application has been described herein with reference to a number of illustrative embodiments thereof, it should be understood that numerous other modifications and embodiments can be devised by those skilled in the art that will fall within the scope and spirit of the principles of this disclosure. More specifically, various variations and modifications may be made to the component parts and/or arrangements of the subject combination arrangement within the scope of the disclosure, drawings and claims. In addition to variations and modifications in the component parts and/or arrangements, other uses will be apparent to those skilled in the art.
Claims (6)
1. A three-dimensional digital road network construction method based on BIM and GIS technology is characterized in that: the method comprises the following steps:
S1, collecting data: the method comprises the steps of performing regional operation, performing oblique photography aerial survey operation by adopting a multi-lens unmanned aerial vehicle, determining a project aerial survey range, knowing aerial survey topography, performing reasonable flight frame sub-division, optimizing an aerial photography scheme, and automatically completing aerial survey operation by the unmanned aerial vehicle according to a specified route and parameter setting after ground station setting and unmanned aerial vehicle assembly are completed, wherein an operator observes the unmanned aerial vehicle position and the ground station to adjust flight parameters in real time;
s2, data arrangement: performing GIS data processing of the aerial survey by ComtextCapture to generate basic data, strictly registering image positioning information through aerial triangulation calculation, automatically and accurately estimating the position, angle element and camera attribute of each image by selected parameters to obtain missing image information, performing monomerization processing on an inclined model, cutting the inclined photographic model by utilizing vector surfaces corresponding to buildings, roads and trees, and physically separating continuous triangular patch networks;
S3, cluster processing: setting up a local area network, wherein one computer is used as a server, other computers in the local area network are used as nodes and are connected to the server to form a group, after a task is submitted, the server uniformly distributes subtasks to each node, after the subtasks are completed by the nodes, the processing result is returned to the server, and the new subtasks are accepted until the tasks are completed;
S4, building a model: the method comprises the steps of (1) understanding a space structure of a photo and a shooting scene through a rough 3D view generated through aerial triangulation calculation, adopting three-level mixed precision modeling to manufacture a building and a road model, importing satellite data of a construction area as a base map, positioning the building model and the model on the basis of the base map, extracting an intersection point and an overlapping point from a central line of a road, segmenting the road, generating a three-dimensional structure at the overlapping point according to a road design specification, generating a plane cross model at the intersection point, and generating a road surface model at a straight line road section;
S5, adjustment and inspection: overlapping the image data, the elevation data and the topographic data corresponding to the building in the construction area, extracting elevation data points in the ground area of the building, calculating the average elevation H of the elevation data points, giving the elevation mean value H of the bottom surface of the building, participating the bottom surface of the building with elevation attribute into the topographic network of the area, and well fusing and linking the building, the road model and the topographic model;
And S6, adjusting and checking the finished road network, performing format processing, loading a three-dimensional model, and finally establishing a three-dimensional digital road network model with sense of reality.
2. The method for constructing the three-dimensional digital road network based on the BIM and GIS technology according to claim 1, wherein the method comprises the following steps: in S1, many camera lenses unmanned aerial vehicle includes organism (1), the lower extreme of organism (1) is fixed with transparent safety cover (2), be equipped with five cameras (8) in transparent safety cover (2), the one end of camera (8) is equipped with angle adjusting device, the lower extreme both sides of organism (1) all are fixed with undercarriage (3).
3. The method for constructing the three-dimensional digital road network based on the BIM and GIS technology according to claim 2, wherein the method comprises the following steps: the angle adjusting device comprises an electric telescopic rod (4) and a sleeve (5) which are arranged at the lower end of a machine body (1), the electric telescopic rod (4) is located in the sleeve (5), five connecting rods (7) are connected to the lower end of the sleeve (5) in an equidistant rotating mode, connecting pieces (6) are fixed to one ends of the connecting rods (7), one ends of the five connecting pieces (6) are fixed to the lower end of the electric telescopic rod (4), and one end of a camera (8) is fixed to the other end of the connecting rod (7).
4. The method for constructing the three-dimensional digital road network based on the BIM and GIS technology according to claim 2, wherein the method comprises the following steps: the landing gear (3) is made of PA nylon resin material.
5. The method for constructing the three-dimensional digital road network based on the BIM and GIS technology according to claim 2, wherein the method comprises the following steps: the bright protection cover (2) is made of acrylic materials.
6. The method for constructing the three-dimensional digital road network based on BIM and GIS technologies according to claim 3, wherein the method comprises the following steps: the connecting rod (7) is made of carbon steel.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111444643.1A CN114119892B (en) | 2021-11-30 | 2021-11-30 | Three-dimensional digital road network construction method based on BIM and GIS technologies |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111444643.1A CN114119892B (en) | 2021-11-30 | 2021-11-30 | Three-dimensional digital road network construction method based on BIM and GIS technologies |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114119892A CN114119892A (en) | 2022-03-01 |
| CN114119892B true CN114119892B (en) | 2024-04-30 |
Family
ID=80368688
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111444643.1A Active CN114119892B (en) | 2021-11-30 | 2021-11-30 | Three-dimensional digital road network construction method based on BIM and GIS technologies |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114119892B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117726777B (en) * | 2024-02-18 | 2024-05-07 | 天津云圣智能科技有限责任公司 | Unmanned aerial vehicle route optimization method and device and computer storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018061010A1 (en) * | 2016-09-28 | 2018-04-05 | Pixtier Maps Ltd. | Point cloud transforming in large-scale urban modelling |
| CN108986207A (en) * | 2018-06-29 | 2018-12-11 | 广东星舆科技有限公司 | A kind of road based on true road surface data and emulation modelling method is built along the line |
| CN109410330A (en) * | 2018-11-12 | 2019-03-01 | 中国十七冶集团有限公司 | One kind being based on BIM technology unmanned plane modeling method |
| CN110728752A (en) * | 2019-10-21 | 2020-01-24 | 西南交通大学 | Construction method of three-dimensional terrain scene model of road |
| CN112348952A (en) * | 2020-11-06 | 2021-02-09 | 中铁第一勘察设计院集团有限公司 | Three-dimensional scene construction method for multi-source geographic information data fusion in hard mountainous area |
| CN113298944A (en) * | 2021-05-31 | 2021-08-24 | 台州学院 | Automatic three-dimensional modeling measurement method based on unmanned aerial vehicle oblique photography |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11830246B2 (en) * | 2020-05-01 | 2023-11-28 | CACI, Inc.—Federal | Systems and methods for extracting and vectorizing features of satellite imagery |
-
2021
- 2021-11-30 CN CN202111444643.1A patent/CN114119892B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018061010A1 (en) * | 2016-09-28 | 2018-04-05 | Pixtier Maps Ltd. | Point cloud transforming in large-scale urban modelling |
| CN108986207A (en) * | 2018-06-29 | 2018-12-11 | 广东星舆科技有限公司 | A kind of road based on true road surface data and emulation modelling method is built along the line |
| CN109410330A (en) * | 2018-11-12 | 2019-03-01 | 中国十七冶集团有限公司 | One kind being based on BIM technology unmanned plane modeling method |
| CN110728752A (en) * | 2019-10-21 | 2020-01-24 | 西南交通大学 | Construction method of three-dimensional terrain scene model of road |
| CN112348952A (en) * | 2020-11-06 | 2021-02-09 | 中铁第一勘察设计院集团有限公司 | Three-dimensional scene construction method for multi-source geographic information data fusion in hard mountainous area |
| CN113298944A (en) * | 2021-05-31 | 2021-08-24 | 台州学院 | Automatic three-dimensional modeling measurement method based on unmanned aerial vehicle oblique photography |
Non-Patent Citations (3)
| Title |
|---|
| Application of Oblique Photogrammetry in Intelligent Transportation System;Puheng Zhang;《Journal of Physics: Conference Series》;20210606;1-7 * |
| GIS协同BIM的室内路网模型研究;侯继伟;《中国优秀硕士学位论文全文数据库基础科学辑》;20190715;A008-63 * |
| 基于GIS的BIM技术在路网优化设计中的应用研究;罗睿;黄凯;;城市道桥与防洪;20191115(11);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114119892A (en) | 2022-03-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109410327B (en) | BIM and GIS-based three-dimensional city modeling method | |
| WO2020192027A1 (en) | Embedded city design scene simulation method and system | |
| JP4854819B2 (en) | Image information output method | |
| CN111091613A (en) | Three-dimensional live-action modeling method based on unmanned aerial vehicle aerial survey | |
| CN109242862B (en) | Real-time digital surface model generation method | |
| CN113192193B (en) | High-voltage transmission line corridor three-dimensional reconstruction method based on Cesium three-dimensional earth frame | |
| CN109708622A (en) | The method that three-dimensional modeling is carried out to building using unmanned plane based on Pixhawk | |
| Yang et al. | A novel approach of efficient 3D reconstruction for real scene using unmanned aerial vehicle oblique photogrammetry with five cameras | |
| CN109934911B (en) | OpenGL-based three-dimensional modeling method for high-precision oblique photography of mobile terminal | |
| CN110428501B (en) | Panoramic image generation method and device, electronic equipment and readable storage medium | |
| CN111325788B (en) | Building height determination method based on street view picture | |
| CN112652065A (en) | Three-dimensional community modeling method and device, computer equipment and storage medium | |
| CN113096250A (en) | Three-dimensional building model library system construction method based on unmanned aerial vehicle aerial image sequence | |
| CN114119892B (en) | Three-dimensional digital road network construction method based on BIM and GIS technologies | |
| Zhou et al. | Application of UAV oblique photography in real scene 3d modeling | |
| CN110765542A (en) | Lightweight method of high-precision digital elevation model | |
| CN117315146B (en) | Reconstruction method and storage method of three-dimensional model based on trans-scale multi-source data | |
| CN111612829B (en) | High-precision map construction method, system, terminal and storage medium | |
| Ren et al. | Future prospects of UAV tilt photogrammetry technology | |
| WO2023223284A1 (en) | System and method for triggering data transfer using progress tracking | |
| CN111197986A (en) | Real-time early warning and obstacle avoidance method for three-dimensional path of unmanned aerial vehicle | |
| CN113781639A (en) | Rapid construction method of large-scene road infrastructure digital model | |
| Molnar et al. | Volume analysis of surface formations on the basis of aerial photographs taken by drones | |
| CN112634434A (en) | Mine three-dimensional model manufacturing method based on unmanned aerial vehicle | |
| KR102538157B1 (en) | Method for producing 3 dimension reality model using unmanned aerial vehicle |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant |