CN112100715A - Three-dimensional oblique photography technology-based earthwork optimization method and system - Google Patents
Three-dimensional oblique photography technology-based earthwork optimization method and system Download PDFInfo
- Publication number
- CN112100715A CN112100715A CN202010841992.6A CN202010841992A CN112100715A CN 112100715 A CN112100715 A CN 112100715A CN 202010841992 A CN202010841992 A CN 202010841992A CN 112100715 A CN112100715 A CN 112100715A
- Authority
- CN
- China
- Prior art keywords
- data
- aerial vehicle
- unmanned aerial
- elevation
- earth
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 48
- 238000005457 optimization Methods 0.000 title claims abstract description 18
- 238000005516 engineering process Methods 0.000 title claims abstract description 16
- 238000005259 measurement Methods 0.000 claims abstract description 29
- 238000012545 processing Methods 0.000 claims abstract description 22
- 238000004364 calculation method Methods 0.000 claims description 37
- 238000013461 design Methods 0.000 claims description 11
- 230000008569 process Effects 0.000 claims description 6
- 238000004590 computer program Methods 0.000 claims description 4
- 238000003860 storage Methods 0.000 claims description 2
- 230000006872 improvement Effects 0.000 abstract description 5
- 238000004441 surface measurement Methods 0.000 abstract description 3
- 239000002689 soil Substances 0.000 abstract description 2
- 239000004575 stone Substances 0.000 description 10
- 238000010586 diagram Methods 0.000 description 9
- 230000008901 benefit Effects 0.000 description 6
- 238000004458 analytical method Methods 0.000 description 5
- 238000000605 extraction Methods 0.000 description 5
- 230000007547 defect Effects 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 4
- 239000011435 rock Substances 0.000 description 4
- 238000009412 basement excavation Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 241000592183 Eidolon Species 0.000 description 1
- ATJFFYVFTNAWJD-UHFFFAOYSA-N Tin Chemical compound [Sn] ATJFFYVFTNAWJD-UHFFFAOYSA-N 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000005520 cutting process Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 208000014451 palmoplantar keratoderma and congenital alopecia 2 Diseases 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000012876 topography Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- 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
-
- 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
-
- 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
- G06T17/30—Polynomial surface description
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Geometry (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Software Systems (AREA)
- Mathematical Analysis (AREA)
- Computer Graphics (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Algebra (AREA)
- Remote Sensing (AREA)
- Architecture (AREA)
- Civil Engineering (AREA)
- Structural Engineering (AREA)
- Computational Mathematics (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
Abstract
The invention belongs to the technical field of civil engineering, and discloses an earthwork optimization method and system based on a three-dimensional oblique photography technology, wherein the method comprises the steps of utilizing unmanned aerial vehicle photography to obtain topographic data of a measurement area; processing the acquired data; and calculating the earth volume. The method and the device push the traditional single-point measurement mode to the surface measurement mode, realize the large-area acquisition of the point cloud data of the target surface, and realize the comprehensive improvement on the aspects of data acquisition efficiency, data acquisition range, data precision, and the safety and automation of measurement operation. And combining the strong curved surface processing function of Civil3D in BIM, generating a three-dimensional entity by adopting a terrain superposition principle, and calculating the volume of the soil body. The invention realizes the large-area acquisition of the point cloud data of the target surface and realizes the comprehensive improvement on the aspects of data acquisition efficiency, data acquisition range, data precision, and the safety and automation of measurement operation.
Description
Technical Field
The invention belongs to the technical field of civil engineering, and particularly relates to an earthwork optimization method and system based on a three-dimensional oblique photography technology.
Background
At present, the volume of earth and stone is an extremely important index in the construction cost and budget of building projects. The traditional earthwork calculation mode mainly uses RTK to collect data, adopts grid to calculate, and has relatively low measuring and calculating efficiency and measuring and calculating precision for large-area and large-volume earthwork with complex terrain. A large amount of research is carried out on the calculation method of the earthwork at home and abroad, and the prior art 1 carries out secondary development of an earthwork calculation software system based on an AutoCAD platform; in the prior art 2, the generation of an irregular triangulation network in earth-rock calculation is studied based on a Dirony triangulation network construction method; in the prior art 3, an earth and rock volume calculation method based on DEM is provided based on two-dimensional graph three-dimensional vectorization in the DEM modeling process; in the prior art 4, a triangular grid method is adopted to calculate the volume of earth and stone in land leveling; prior art 5 proposes a CASS-based earth and stone calculation method; the prior art 6 proposes a method for calculating an earth and rock separation engineering quantity based on a low-altitude photogrammetry technology; in the prior art 7, a method of combining an EXCEL scatter diagram with roadbed coordinate method section calculation is adopted to measure and calculate roadbed earthwork; the prior art 8 proposes a triangular differential earth-rock square calculation method based on a TIN model.
Although the above-mentioned earth and stone calculation methods improve the calculation accuracy to some extent, they have certain defects in the aspects of data accuracy, acquisition efficiency, acquisition range, and the like.
Through the above analysis, the problems and defects of the prior art are as follows: the existing earthwork calculation method has the advantages of low acquisition efficiency, small acquisition range, high cost, serious influence by sites, and relatively low measurement efficiency and measurement precision.
The difficulty in solving the above problems and defects is:
the traditional measurement method has the advantages that the calculation precision is related to the density and the quality of field sampling points and the size of a square grid, particularly for steep terrains, data acquisition is more difficult, the accuracy of data acquisition is difficult to ensure, the altitude difference is large, in areas with many buildings, RTK cannot reach a fixed solution, and the acquired data is distorted.
The significance of solving the problems and the defects is as follows:
three-dimensional oblique photography, the place barrier can not influence the measurement, and the method has the advantages of high agility and topographic resolution, low manual input, high production efficiency, high data information degree and the like. A high accuracy DSM of complete topographical features can be obtained while simultaneously outputting the photographic image data in front with spatial position information.
The technology is not limited by terrain, and is suitable for flat and steep areas; data acquisition is quicker; obtaining terrain elevation data and image data, and more accurately delineating the earth and stone calculation range; the obtained DEM can be directly imported into software for calculation and analysis, so that the efficiency is improved; the workload is reduced, and the production cost is saved.
The three-dimensional oblique photography directly obtains a real scene model, an effect method is carried out on the earth excavation backfill process, earth excavation transportation analysis and calculation are visually and effectively carried out, refinement of earth calculation is achieved, and the three-dimensional oblique photography plays an important role in engineering cost control and engineering management.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an earthwork optimization method and system based on a three-dimensional oblique photography technology.
The invention is realized in such a way, and the earthwork optimization method based on the three-dimensional oblique photography technology comprises the following steps:
firstly, acquiring topographic data of a measurement area by using unmanned aerial vehicle photography;
step two, processing the acquired data;
and step three, calculating the earth volume.
Further, in the first step, the obtaining of the topographic data of the measurement area by unmanned aerial vehicle photography includes:
the data acquisition step comprises three steps of site reconnaissance, route design, unmanned aerial vehicle preparation and operation.
(1) Determining a measuring area range, and converting the measuring area range into a surface shape to obtain an unmanned aerial vehicle route planning area;
(2) arranging image control points by setting a plane control point and an elevation control point; carrying out unmanned aerial vehicle route planning based on the obtained route planning area, and setting flight parameters of the unmanned aerial vehicle;
(3) the unmanned aerial vehicle flies based on the determined unmanned aerial vehicle route planning and the unmanned aerial vehicle flight parameters, and obtains relevant data of the unmanned aerial vehicle route planning area.
Further, in the step (2), the arranging of the image control points by setting the plane control points and the elevation control points includes: arranging plane control points around the region, and when the region is large, arranging the plane control points in a point group mode; and the elevation control points are distributed into a lock shape.
Further, in step two, the processing the acquired data includes:
1) and performing space-three calculation and correction on the acquired data by adopting a Context Capture. After the operation is qualified, reconstructing the blocks, shrinking the blocks, constructing a model, and generating an OSGB and 3MX format live-action model;
2) verifying the elevation precision value of the acquired data; extracting elevation points;
the EPS can edit various data, provide an ortho-image DOM and a real three-dimensional model (OSGB, 3ds, obj, DSM and the like), and input the EPS to construct the DSM.
3) And collecting data of the broken part by adopting a 10-meter square grid.
Further, in step 2), the extracting the elevation point includes:
firstly, extracting characteristic points of the top and the bottom of the slope by a line selection mode, then extracting elevation points by a surface selection mode and other intervals, then performing supplementary encryption on a specific area by a point selection mode, and then checking the elevation points. After the achievement is established, various types of data can be generated, and the output in a general form and according to certain attribute requirements can be completed.
Further, in the third step, the performing the earth volume calculation includes: and (3) creating a three-dimensional digital terrain model by Civil3D, and comparing the volumes of the original terrain model and the created three-dimensional digital terrain model to obtain the earth volume.
Further, the performing the earth volume calculation further includes:
firstly, acquiring processed data; generating an original terrain, namely a curved surface, based on elevation points in the processed data; meanwhile, generating a design curved surface based on the design elevation in the processed data;
secondly, setting the original terrain model as a reference curved surface, and setting the created three-dimensional digital terrain model as a contrast curved surface;
and finally, calculating the filling and excavating amount by using a curved surface tool.
Another object of the present invention is to provide an earthwork optimization system based on a three-dimensional oblique photography technique, comprising:
the terrain data acquisition module is used for acquiring the terrain data of a measurement area by utilizing unmanned aerial vehicle photography;
the data processing module is used for processing the acquired data;
and the earth volume calculation module is used for calculating earth volume.
It is a further object of the invention to provide a computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of:
obtaining topographic data of a measurement area by using unmanned aerial vehicle photography;
processing the acquired data;
and calculating the earth volume.
It is another object of the present invention to provide a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
obtaining topographic data of a measurement area by using unmanned aerial vehicle photography;
processing the acquired data;
and calculating the earth volume.
By combining all the technical schemes, the invention has the advantages and positive effects that: the development of the three-dimensional oblique photogrammetry technology greatly changes the measurement data acquisition mode, the traditional single-point measurement mode is promoted to the surface measurement mode, the point cloud data of the target surface can be acquired in a large area, and the data acquisition efficiency, the data acquisition range, the data precision, the safety and the automation of the measurement operation are comprehensively improved.
The invention provides an earthwork optimization method based on a three-dimensional oblique photography technology, which realizes large-area acquisition of point cloud data of a target surface and realizes comprehensive improvement on the aspects of data acquisition efficiency, data acquisition range, data precision, and safety and automation of measurement operation.
The method and the device push the traditional single-point measurement mode to the surface measurement mode, realize the large-area acquisition of the point cloud data of the target surface, and realize the comprehensive improvement on the aspects of data acquisition efficiency, data acquisition range, data precision, and the safety and automation of measurement operation. And combining the strong curved surface processing function of Civil3D in BIM, generating a three-dimensional entity by adopting a terrain superposition principle, and calculating the volume of the soil body.
According to the invention, through comparison of the RTK and unmanned aerial vehicle photogrammetry on the earth and stone volume calculation results, the data volume acquired by adopting the unmanned aerial vehicle + EPS mode is larger, the on-site terrain surface can be reflected more accurately, the calculated earth volume is more accurate, and the method can be widely applied to engineering.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
Fig. 1 is a flowchart of an earth optimization method based on a three-dimensional oblique photography technique according to an embodiment of the present invention.
Fig. 2 is a diagram of an unmanned aerial vehicle route planning area provided by an embodiment of the present invention.
Fig. 3 is a planning diagram of flight routes of an unmanned aerial vehicle provided by the embodiment of the invention.
Fig. 4 is a schematic diagram of a flight path planning of an unmanned aerial vehicle according to an embodiment of the present invention.
Fig. 5 is a diagram of an empty tri-model provided by an embodiment of the present invention.
Fig. 6 is a schematic diagram of an empty triplet model provided in an embodiment of the present invention.
Fig. 7 is a diagram of an EPS extraction elevation point model provided in the embodiment of the present invention.
Fig. 8 is a schematic diagram of an EPS extraction elevation point model provided in the embodiment of the present invention.
FIG. 9 is a step-breaking point-generated CAD graph provided by an embodiment of the present invention.
Fig. 10 is a schematic diagram of an OSGB and 3MX format live-action model generated by automatically processing an image of acquired data using a Context Capture according to the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In view of the problems in the prior art, the present invention provides an earth optimization method based on a three-dimensional oblique photography technique, and the present invention is described in detail below with reference to the accompanying drawings.
As shown in fig. 1, an earth optimization method based on a three-dimensional oblique photography technique according to an embodiment of the present invention includes the following steps:
s101, obtaining topographic data of a measurement area by using unmanned aerial vehicle photography;
s102, processing the acquired data;
and S103, calculating the earth volume.
In step S101, the obtaining of topographic data of a measurement area by unmanned aerial vehicle photography according to the embodiment of the present invention includes:
(1) determining a measuring area range, and converting the measuring area range into a surface shape to obtain an unmanned aerial vehicle route planning area;
(2) arranging image control points by setting a plane control point and an elevation control point; carrying out unmanned aerial vehicle route planning based on the obtained route planning area, and setting flight parameters of the unmanned aerial vehicle;
(3) the unmanned aerial vehicle flies based on the determined unmanned aerial vehicle route planning and the unmanned aerial vehicle flight parameters, and obtains relevant data of the unmanned aerial vehicle route planning area.
In step (2), the image control point arrangement by setting the plane control point and the elevation control point according to the embodiment of the present invention includes: arranging plane control points around the region, and when the region is large, arranging the plane control points in a point group mode; and the elevation control points are distributed into a lock shape.
In step S102, the processing of the acquired data provided by the embodiment of the present invention includes:
1) adopting Context Capture to automatically process the acquired data to generate OSGB and
3MX format live-action models; as shown in fig. 10.
2) Verifying the elevation precision value of the acquired data; and extracting the elevation points.
3) And collecting data of the broken part by adopting a 10-meter square grid.
In step 2), the extracting of the elevation point provided by the embodiment of the present invention includes:
firstly, extracting characteristic points of the top and the bottom of the slope by a line selection mode, then extracting elevation points by a surface selection mode and other intervals, then performing supplementary encryption on a specific area by a point selection mode, and then checking the elevation points.
In step S103, the performing of the earth volume calculation according to the embodiment of the present invention includes: and (3) creating a three-dimensional digital terrain model by Civil3D, and comparing the volumes of the original terrain model and the created three-dimensional digital terrain model to obtain the earth volume.
The method for calculating the earth volume provided by the embodiment of the invention further comprises the following steps:
firstly, acquiring processed data; generating an original terrain, namely a curved surface, based on elevation points in the processed data; meanwhile, generating a design curved surface based on the design elevation in the processed data;
secondly, setting the original terrain model as a reference curved surface, and setting the created three-dimensional digital terrain model as a contrast curved surface;
and finally, calculating the filling and excavating amount by using a curved surface tool.
The invention provides an earthwork optimization system based on a three-dimensional oblique photography technology, which comprises:
the terrain data acquisition module is used for acquiring the terrain data of a measurement area by utilizing unmanned aerial vehicle photography;
the data processing module is used for processing the acquired data;
and the earth volume calculation module is used for calculating earth volume.
The technical effects of the present invention will be further described with reference to specific embodiments.
Example (b):
(one) Collection
1. Unmanned aerial vehicle photogrammetry terrain collection
1.1 determining the area of measurement
The field work measurement project selects a pseudo-royal museum exhibition hall project, image control free flight is carried out by utilizing a Dajiang eidolon IV RTK unmanned aerial vehicle platform, image control points and check points are arranged on site by adopting southern Galaxy VI RTK for detection precision, Context Capture is adopted for image data processing, and high-range points are extracted by EPS to form terrain surface data. An Ottoman map browser is adopted to match with a Google satellite mixed topographic map to accurately determine the area range, the area measuring range is redrawn into a planar shape, and the planar shape is exported to be a KML file to be used as a route planning area, as shown in figure 2.
1.2. Precision flight
1.2.1 image control Point arrangement
The image control point is the basis of photogrammetry control encryption and mapping, and the accuracy of field image control point target selection and point location indication directly influences the accuracy of results. The image control points are required to surround the edge of the measuring region so as to control the position precision in the measuring region. On one hand, the problems of position deviation, over-low coordinate precision and the like of the aircraft caused by positioning limitation or electromagnetic interference are corrected; and on the other hand, other factors such as overlarge altitude difference generated by the air gauge of the aircraft are corrected. Only if each image control point is arranged according to a certain standard, data can be better processed by the industry, and the three-dimensional model can reach certain precision.
When arranging the image control points, firstly, the plane control points are arranged around the region, and when the region is larger, the point group is arranged (for unmanned aerial vehicle photography, the point group generally refers to a plurality of points with the distance of 200-300 meters between the control points, which is beneficial to improving the overall precision). Secondly, the elevation control points are distributed in a locking mode. When the plane point location is encrypted with high precision, appropriate elevation control points still need to be arranged so as to ensure the influence of the inconsistent deformation of the model on the plane coordinates.
1.2.2 route planning
And exporting a KML file by using the planar area planned by the Otto map browser, importing the KML file of the survey area into a P4R remote controller, planning a route and setting flight parameters. The selected measuring area of the flight is 0.0125 square kilometer, and the height of the flight is 100 meters. The flight path is shown in fig. 3.
1.2.3 flying
And after the air route planning is finished, the flight plan is sent to the airplane, and the takeoff starts to execute the flight plan. The electric quantity, the speed, the altitude, the obstacle avoidance system signal, the image transmission effect and the like of the airplane are noticed all the time in the flying process to deal with the emergency situation. The flight is carried out for 1 total number of times, the operation time in the flight line is 15 minutes, and 296 photos are obtained.
2. Image data processing method
2.1 data processing
And the modeling adopts Context Capture to automatically process images to generate an OSGB and 3MX format live-action model. Firstly, a main program is started, a new project is created, images are added, and because the POS information of P4R is directly written in the photos, the POS information does not need to be written when the images are automatically processed. And secondly, checking the relative position relation of the photos, submitting the blank three after no error, if part of the photos do not run flat, submitting the blank three again, then performing pricking, and performing adjustment by using the image control points. And finally, rebuilding the project after the empty-three submission is finished, carrying out rule cutting, submitting a production task, and generating an OSGB and 3MX format live-action model file, wherein the empty-three model is shown in FIG. 4.
2.2 precision analysis
The aerial photography precision verification mainly comprises the steps of verifying the elevation precision, importing the generated OSGB file into EPS, generating a DSM file, extracting the elevation value from a check point, and comparing the extracted value with the original elevation value to obtain a difference value, wherein the specific numerical value is shown in a table 1.
Table 1 is a table of elevation contrast values
| Serial number | RTK elevation | DSM elevation | Difference value | |
| 1 | 209.998 | 210.04 | -0.042 | |
| 2 | 208.511 | 208.56 | -0.049 | |
| 3 | 200.695 | 200.73 | -0.035 | |
| 4 | 201.570 | 201.58 | -0.010 |
The aerial photography uses the image control points as check points, the total number of the check points is 4, the maximum difference value between data is 49mm, the minimum difference value is 10mm, and the aerial survey data and the RTK data are very close to each other in total.
2.3 high Point extraction
The extraction of the elevation points of the current aerial photography model is carried out in EPS software, an OSGB format file generated by aerial survey is imported into the EPS to generate a DSM file, then a local oblique photography model is loaded, the elevation points are extracted on the model by point selection, surface selection and line selection, the accurate sequence in the extraction process is that characteristic points of the top and bottom of a slope are extracted by a line selection mode, the elevation points are extracted at equal intervals by the surface selection mode, then the specific area is subjected to supplementary encryption by the point selection mode, then the elevation points are checked, the points falling on a crane, personnel and equipment are deleted, and finally the elevation points are exported to be a dwg format file as shown in figure 5.
2.4RTK fractional data acquisition
The collection of the data of the broken part data is carried out according to a 10-meter square grid to form a txt file, the txt file is imported into a CAD to form a dwg file, and the generated data is shown in FIG. 6.
The invention (II) is characterized in that:
(1) unmanned aerial vehicle + EPS can be fine combine together with Civil3D to carry out the calculation of cubic metre of earth and stone through the advantage in some aspect.
(2) Through the comparison of RTK and unmanned aerial vehicle photogrammetry on the cubic meter of earth and stone calculation result, the data volume that adopts unmanned aerial vehicle + EPS mode to obtain is bigger, the reaction site topography surface that more can be accurate, and the cubic meter of earth calculated is more accurate, can extensively adopt in the engineering.
(III) the invention carries out the calculation of the earth volume, and comprises the following steps:
the method comprises the steps of creating a three-dimensional digital terrain model by Civil3D, simultaneously, only manufacturing three-dimensional models of an original terrain and a design terrain, and then comparing the volumes of the two three-dimensional models by using a volume calculation tool provided by Civil3D to calculate the earth volume.
The Civil3D software is used for calculating the earth volume in the aerial photography, an original terrain 'curved surface' is generated by using elevation points acquired in two modes, a 'design curved surface' is generated according to design elevation, an original terrain model is set as a reference curved surface, a design terrain model is set as a contrast curved surface, a curved surface tool provided by Civil3D is used for calculating the filling and excavating volume, and the calculation result is shown in tables 2 and 3.
Table 2 shows an earthwork measuring table calculated by two methods
Table 3 shows Civil3D calculation earth volume calculation analysis table
The comparison of the calculation results shows that the earth and stone volume calculated by the three-dimensional oblique photogrammetry technology has almost the same difference with the actual measurement, and the precision is higher than that of the result measured by the RTK, so that the method is more practical. Among them, in the calculation of the excavation volume, the difference between the calculation result by the RTK and the actual measurement is 1600, while the calculation result by the three-dimensional oblique photogrammetry technique is less than 100, and as a result, the calculation accuracy of the three-dimensional oblique photogrammetry technique in the earth and stone volume is very high.
The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. An earthwork optimization method based on a three-dimensional oblique photography technique is characterized by comprising the following steps:
obtaining topographic data of a measurement area by using unmanned aerial vehicle photography;
processing the acquired data;
and calculating the earth volume.
2. The method of claim 1, wherein the obtaining of the topographic data of the survey area using unmanned aerial vehicle photography comprises:
(1) determining a measuring area range, and converting the measuring area range into a surface shape to obtain an unmanned aerial vehicle route planning area;
(2) arranging image control points by setting a plane control point and an elevation control point; carrying out unmanned aerial vehicle route planning based on the obtained route planning area, and setting flight parameters of the unmanned aerial vehicle;
(3) the unmanned aerial vehicle flies based on the determined unmanned aerial vehicle route planning and the unmanned aerial vehicle flight parameters, and obtains relevant data of the unmanned aerial vehicle route planning area.
3. The method for optimizing the earthwork based on the three-dimensional oblique photography technique according to claim 2, wherein the image control point arrangement by setting the planar control point and the elevation control point in step (2) comprises: arranging plane control points around the region, and when the region is large, arranging the plane control points in a point group mode; and the elevation control points are distributed into a lock shape.
4. The three-dimensional oblique photography technology-based earthwork optimization method of claim 1, wherein the processing of the acquired data comprises:
1) adopting Context Capture to automatically process the acquired data to generate an OSGB and 3MX format live-action model;
2) verifying the elevation precision value of the acquired data; extracting elevation points;
3) and collecting data of the broken part by adopting a 10-meter square grid.
5. The method for optimizing the earthwork based on the three-dimensional oblique photography technique according to claim 4, wherein the extracting the elevation point in the step 2) comprises:
firstly, extracting characteristic points of the top and the bottom of the slope by a line selection mode, then extracting elevation points by a surface selection mode and other intervals, then performing supplementary encryption on a specific area by a point selection mode, and then checking the elevation points.
6. The three-dimensional oblique photography technique-based earthwork optimization method of claim 1, wherein the performing of the earthwork amount calculation comprises: and (3) creating a three-dimensional digital terrain model by Civil3D, and comparing the volumes of the original terrain model and the created three-dimensional digital terrain model to obtain the earth volume.
7. The method of optimizing earth volume based on three-dimensional oblique photography of claim 6, wherein said performing earth volume calculations further comprises:
firstly, acquiring processed data; generating an original terrain, namely a curved surface, based on elevation points in the processed data; meanwhile, generating a design curved surface based on the design elevation in the processed data;
secondly, setting the original terrain model as a reference curved surface, and setting the created three-dimensional digital terrain model as a contrast curved surface;
and finally, calculating the filling and excavating amount by using a curved surface tool.
8. An earth optimization system based on the three-dimensional oblique photography technology for implementing the earth optimization method based on the three-dimensional oblique photography technology of any one of claims 1 to 7, wherein the earth optimization system based on the three-dimensional oblique photography technology comprises:
the terrain data acquisition module is used for acquiring the terrain data of a measurement area by utilizing unmanned aerial vehicle photography;
the data processing module is used for processing the acquired data;
and the earth volume calculation module is used for calculating earth volume.
9. A computer device, characterized in that the computer device comprises a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to carry out the steps of:
obtaining topographic data of a measurement area by using unmanned aerial vehicle photography;
processing the acquired data;
and calculating the earth volume.
10. A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
obtaining topographic data of a measurement area by using unmanned aerial vehicle photography;
processing the acquired data;
and calculating the earth volume.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010841992.6A CN112100715A (en) | 2020-08-20 | 2020-08-20 | Three-dimensional oblique photography technology-based earthwork optimization method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010841992.6A CN112100715A (en) | 2020-08-20 | 2020-08-20 | Three-dimensional oblique photography technology-based earthwork optimization method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112100715A true CN112100715A (en) | 2020-12-18 |
Family
ID=73753163
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010841992.6A Pending CN112100715A (en) | 2020-08-20 | 2020-08-20 | Three-dimensional oblique photography technology-based earthwork optimization method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112100715A (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112648974A (en) * | 2020-12-29 | 2021-04-13 | 数字港湾科技(湖北)有限公司 | Engineering quantity calculation method based on aerial three-dimensional image data |
| CN112750135A (en) * | 2020-12-31 | 2021-05-04 | 成都信息工程大学 | Unmanned aerial vehicle oblique photography measurement image control point optimization method and system |
| CN112861222A (en) * | 2021-01-25 | 2021-05-28 | 中交广州航道局有限公司 | Earthwork calculation method and device capable of distinguishing soil quality |
| CN113204825A (en) * | 2021-05-25 | 2021-08-03 | 中建八局第三建设有限公司 | BIM technology-based vertical design method for urban garden landscape |
| CN113984016A (en) * | 2021-09-23 | 2022-01-28 | 中交二公局第三工程有限公司 | Drawing earth volume rechecking method based on unmanned aerial vehicle and BIM fusion |
| CN114485839A (en) * | 2022-02-18 | 2022-05-13 | 中建八局第二建设有限公司 | Oblique photography-based earth-rock square balance blending device and operation method thereof |
| CN115962755A (en) * | 2022-12-12 | 2023-04-14 | 中铁建工集团有限公司 | Earth and stone calculation method based on unmanned aerial vehicle oblique photography technology |
| CN116465370A (en) * | 2023-04-01 | 2023-07-21 | 中铁六局集团路桥建设有限公司 | Method and system for calculating soil and stone quantity of dense vegetation area |
| US11908185B2 (en) * | 2022-06-30 | 2024-02-20 | Metrostudy, Inc. | Roads and grading detection using satellite or aerial imagery |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102538770A (en) * | 2012-01-17 | 2012-07-04 | 中国电力工程顾问集团中南电力设计院 | Low altitude photography image control point arranging method |
| CN110285792A (en) * | 2019-07-02 | 2019-09-27 | 山东省交通规划设计院 | A kind of fine grid earthwork metering method of unmanned plane oblique photograph |
| CN111243090A (en) * | 2020-01-19 | 2020-06-05 | 上海建工四建集团有限公司 | Method and system for calculating earth volume |
-
2020
- 2020-08-20 CN CN202010841992.6A patent/CN112100715A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102538770A (en) * | 2012-01-17 | 2012-07-04 | 中国电力工程顾问集团中南电力设计院 | Low altitude photography image control point arranging method |
| CN110285792A (en) * | 2019-07-02 | 2019-09-27 | 山东省交通规划设计院 | A kind of fine grid earthwork metering method of unmanned plane oblique photograph |
| CN111243090A (en) * | 2020-01-19 | 2020-06-05 | 上海建工四建集团有限公司 | Method and system for calculating earth volume |
Non-Patent Citations (1)
| Title |
|---|
| 杨景梅;: "贴近式倾斜摄影测量在土方工程决算的应用研究", 建筑与预算, no. 06, pages 21 - 23 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112648974A (en) * | 2020-12-29 | 2021-04-13 | 数字港湾科技(湖北)有限公司 | Engineering quantity calculation method based on aerial three-dimensional image data |
| CN112750135A (en) * | 2020-12-31 | 2021-05-04 | 成都信息工程大学 | Unmanned aerial vehicle oblique photography measurement image control point optimization method and system |
| CN112861222A (en) * | 2021-01-25 | 2021-05-28 | 中交广州航道局有限公司 | Earthwork calculation method and device capable of distinguishing soil quality |
| CN113204825A (en) * | 2021-05-25 | 2021-08-03 | 中建八局第三建设有限公司 | BIM technology-based vertical design method for urban garden landscape |
| CN113984016A (en) * | 2021-09-23 | 2022-01-28 | 中交二公局第三工程有限公司 | Drawing earth volume rechecking method based on unmanned aerial vehicle and BIM fusion |
| CN114485839A (en) * | 2022-02-18 | 2022-05-13 | 中建八局第二建设有限公司 | Oblique photography-based earth-rock square balance blending device and operation method thereof |
| CN114485839B (en) * | 2022-02-18 | 2024-05-17 | 中建八局第二建设有限公司 | Soil and stone balance blending device based on oblique photography and operation method thereof |
| US11908185B2 (en) * | 2022-06-30 | 2024-02-20 | Metrostudy, Inc. | Roads and grading detection using satellite or aerial imagery |
| CN115962755A (en) * | 2022-12-12 | 2023-04-14 | 中铁建工集团有限公司 | Earth and stone calculation method based on unmanned aerial vehicle oblique photography technology |
| CN116465370A (en) * | 2023-04-01 | 2023-07-21 | 中铁六局集团路桥建设有限公司 | Method and system for calculating soil and stone quantity of dense vegetation area |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112100715A (en) | Three-dimensional oblique photography technology-based earthwork optimization method and system | |
| Moon et al. | Comparison and utilization of point cloud generated from photogrammetry and laser scanning: 3D world model for smart heavy equipment planning | |
| CN102506824B (en) | Method for generating digital orthophoto map (DOM) by urban low altitude unmanned aerial vehicle | |
| CN113607135B (en) | Unmanned aerial vehicle inclination photogrammetry method for road and bridge construction field | |
| CN111191307B (en) | Earthwork virtual construction method based on BIM+GIS technology | |
| CN111667569B (en) | Three-dimensional live-action soil visual accurate measurement and calculation method based on Rhino and Grasshopper | |
| Tavani et al. | Terrestrial SfM-MVS photogrammetry from smartphone sensors | |
| CN103207419A (en) | Three-dimensional measurement method for tunnel rock formation attitude | |
| Stal et al. | Test case on the quality analysis of structure from motion in airborne applications | |
| CN111353681A (en) | BIM technology-based high-precision calculation method for in-site earth and stone engineering quantity | |
| CN111256730A (en) | Earth mass balance correction calculation method for low-altitude oblique photogrammetry technology | |
| Sun et al. | Building displacement measurement and analysis based on UAV images | |
| CN114283070B (en) | Method for manufacturing terrain section by fusing unmanned aerial vehicle image and laser point cloud | |
| CN114898053A (en) | Three-dimensional space image technology-based fractured loose rock mass development range delineation method | |
| CN110411422A (en) | The planing method of builder's road based on BIM | |
| US20230419501A1 (en) | Image analysis for aerial images | |
| CN111006645A (en) | Unmanned aerial vehicle surveying and mapping method based on motion and structure reconstruction | |
| CN103236083B (en) | Real-time three-dimensional measuring method based on stereo image library | |
| CN115909091A (en) | Earth volume calculation method based on unmanned aerial vehicle three-dimensional scanning live-action modeling | |
| CN110207668B (en) | Landscape vertical analysis and quantitative vertical design method based on unmanned aerial vehicle oblique photography | |
| Zhang et al. | 3D Visualization of Landslide Based on Close-Range Photogrammetry. | |
| CN111765868A (en) | Earth measurement method based on oblique photography technology and divided according to different grids | |
| Jebur et al. | Show the potential of Agisoft Photoscan software to create a 3D model for Salhiyah residential complex in Baghdad based on Aerial Photos | |
| Timirkhanov et al. | Computer-aided calculation of the volume of soil masses using Civil 3D | |
| CN117876623B (en) | Mineral resource investigation digital terrain model generation method |
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 |