CN111765869A - Different-gradient road earthwork measurement method based on oblique photography technology - Google Patents
Different-gradient road earthwork measurement method based on oblique photography technology Download PDFInfo
- Publication number
- CN111765869A CN111765869A CN202010537440.6A CN202010537440A CN111765869A CN 111765869 A CN111765869 A CN 111765869A CN 202010537440 A CN202010537440 A CN 202010537440A CN 111765869 A CN111765869 A CN 111765869A
- Authority
- CN
- China
- Prior art keywords
- area
- slope
- road
- region
- oblique photography
- 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
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
- G01C11/02—Picture taking arrangements specially adapted for photogrammetry or photographic surveying, e.g. controlling overlapping of pictures
-
- 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
Abstract
The invention discloses a method for measuring earthwork of roads with different gradients based on oblique photography technology, which adopts an unmanned aerial vehicle to shoot an earthwork measurement area and generates an oblique photography three-dimensional live-action model of the shot area; setting a shooting course in the direction vertical to the road slope, acquiring image data information of the vertical road slope, and establishing a corrected three-dimensional real-scene model of road slope oblique photography; determining the horizontal distance of the road side slope and the top point of the slope top through a three-dimensional live-action model of oblique photography and a slope proportion calculation formula, and further acquiring the earth volume of the road side slope; dividing a road earthwork measurement area into a slope area, a filling and digging boundary area, a rectangular area and a non-rectangular area, dividing the road earthwork measurement area into five levels of areas according to the area, setting the shape and sampling distance of a sampling point, respectively measuring the filling and digging earthwork amount of each area, and obtaining the road earthwork amount after slope processing after accumulation. The method corrects the road slope model, thereby improving the accuracy and efficiency of the earthwork measurement.
Description
Technical Field
The invention relates to the technical field of road engineering, in particular to a method for measuring earthwork of roads with different gradients based on an oblique photography technology.
Background
Oblique photography has become more and more widely used in the fields of measurement, survey, design, etc. of municipal infrastructure as a high and new technology developed in the surveying and mapping field in recent years. The oblique photography three-dimensional live-action model is established by shooting through the unmanned aerial vehicle, topographic data information can be provided for road earthwork calculation, the construction condition of a road can be reflected, and calculation basis is provided for earthwork measurement. However, when the oblique photography is used for shooting a road slope, the slope of the road slope in the oblique photography three-dimensional real-scene model is increased under the influence of the slope of the road slope and a shooting route, so that the measurement of the earth volume of the road slope is inaccurate. Obviously, the earth of the road side slope accounts for a large part of the total earth of the road, and particularly, the earth volume of the road side slope in the mountainous area is a main component of the total earth volume. Therefore, road slope processing in the measuring process is important for road earth volume statistics.
Disclosure of Invention
The invention aims to solve the technical problem of providing a method for measuring earthwork of roads with different gradients based on oblique photography technology.
In order to solve the technical problem, the method for measuring the earthwork of the road with different gradients based on the oblique photography technology comprises the following steps:
collecting and arranging geographic position data of an earthwork measurement area;
determining an aerial route and aerial parameters of the unmanned aerial vehicle according to site survey and an electronic map, shooting by the unmanned aerial vehicle according to the aerial route and the aerial parameters to obtain preliminary oblique photography data of each partition, removing unnecessary and redundant data by using aerial photography pos data, and generating an oblique photography three-dimensional live-action model of each partition of a shooting area;
step three: assembling the oblique photography three-dimensional live-action models of each subarea, importing the three-dimensional live-action models of each subarea into three-maintenance editing software, and determining continuous numbers and two same special coordinate points of adjacent subareas; completing mold assembly of the oblique photography three-dimensional live-action model according to two same special coordinate points; processing the overlapped part after die assembly by using pos data to enable the three-dimensional real-scene models of adjacent subareas to be combined seamlessly; by analogy, the die assembly of the whole oblique photography area is completed;
setting a shooting route of the unmanned aerial vehicle in the direction vertical to the road slope to acquire image data of the vertical road slope;
integrating image data of the vertical road slope into the oblique photography three-dimensional live-action model, and establishing a corrected road slope oblique photography three-dimensional live-action model;
step six, inquiring the elevation of the slope in the corrected three-dimensional real-scene model of the slope oblique photography of the road slope, inquiring the proportion of the road slope in the cross section diagram of the construction subgrade, and calculating a formula according to the proportion of the slope: calculating the horizontal distance of the road slope; measuring the horizontal distance and the corresponding elevation point of the road slope in the corrected three-dimensional real-scene model of the road slope oblique photography, determining the top point of the slope top of the road slope, and further obtaining the earth volume of the road slope;
step seven, dividing the road slope into side slope areas, dividing filling and digging junction parts into filling and digging junction areas, and dividing other road earthwork measurement areas into rectangular areas and non-rectangular areas;
step eight, setting sampling points of earthwork measurement into rectangular sampling points and triangular sampling points, and dividing a slope region, a filling and digging junction region, a rectangular region and a non-rectangular region into a large region, a general region, a small region and a micro region according to areas;
step nine, setting an earth calculation error, and calculating the sampling distance of the divided area according to the formula (1);
wherein f (a)i) Calculate error, f (d), for the earthwork of the i-th regioni) Is the sampling distance of the i-th region, f (c)i) Is the measured perimeter of the i-th region, [ integral ] f (x ^ fi)f(yi) dxdy is the measured area of the i-th region where ai、di、ciRespectively calculating error variable, sampling distance variable and measuring perimeter variable of the ith area; x is the number ofi、yiRespectively an x-axis value and a y-axis value of an ith area coordinate system; (ii) a
Step ten, in the rectangular area, setting the sampling distance of the large area as 1 unit, the sampling distance of the large area as 0.5 unit, the sampling distance of the general area as 0.3 unit, the sampling distance of the small area as 0.1 unit and the sampling distance of the micro area as 0.05 unit;
step eleven, setting the sampling distance of a large area to be 0.5 unit, the sampling distance of a large area to be 0.3 unit, the sampling distance of a general area to be 0.1 unit, the sampling distance of a small area to be 0.05 unit and the sampling distance of a micro area to be 0.01 unit in a slope area, a filling and digging boundary area and a non-rectangular area;
step twelve, according to the area of each region and the set sampling distance, rectangular sampling points are adopted in the rectangular region, triangular sampling points are adopted in the slope region, the non-rectangular region and the filling and digging junction region, and the filling and digging volume of each region is respectively measured;
and step thirteen, accumulating the filling and excavating earthwork amount of each area to obtain the road earthwork amount after the side slope treatment.
Further, in the second step, the aerial photography parameters comprise aerial photography height and speed, the aerial photography parameters are set according to the distribution situation of buildings in the site shooting area, the unmanned aerial vehicle test flight is set according to the preliminarily set aerial photography route and parameters, the aerial photography route and parameter setting are adjusted according to the test flight result, the aerial photography is carried out according to the adjusted aerial photography route and parameters, and preliminary oblique photography data are obtained.
Further, in step eight, the area of the large area is larger than 6400 square unit, the area of the 6400 square unit is larger than 1600 square unit, the area of the 1600 square unit is larger than general area and larger than 576 square unit, the area of the 576 square unit is larger than 576 square unit, the area of the small area is larger than 64 square unit, and the area of the small area is smaller than 64 square unit.
The method for measuring the earthwork of the road with different gradients based on the oblique photography technology adopts the technical scheme, namely, the method adopts the unmanned aerial vehicle to shoot an earthwork measurement area and generates an oblique photography three-dimensional live-action model of the shot area; setting a shooting route in the direction vertical to the road slope, acquiring image data information of the vertical road slope, and establishing a corrected road slope oblique photography three-dimensional live-action model by combining an oblique photography three-dimensional live-action model; determining the horizontal distance of the road side slope and the top point of the slope top through a three-dimensional live-action model of oblique photography and a slope proportion calculation formula, and further acquiring the earth volume of the road side slope; dividing a road earthwork measurement area into a slope area, a filling and digging junction area, a rectangular area and a non-rectangular area, dividing the road earthwork measurement area into a large area, a general area, a small area and a micro area according to the area, setting the shape and the sampling distance of a sampling point, and respectively measuring the filling and digging earthwork amount of each area; and accumulating the earth filling and excavating quantities of all the areas to obtain the earth volume of the road after the side slope treatment. The method divides the measured earthwork area according to a certain area, sets corresponding grades, and corrects the road slope model, thereby improving the accuracy and efficiency of earthwork measurement, reducing the earthwork measurement cost, and providing reliable basis for road project budget and settlement.
Drawings
The invention is described in further detail below with reference to the following figures and embodiments:
FIG. 1 is a flow chart of a method for measuring earth on roads with different gradients based on oblique photography.
Detailed Description
Embodiment as shown in fig. 1, the method for measuring earth on roads with different gradients based on oblique photography of the present invention comprises the following steps:
collecting and arranging geographic position data of an earthwork measurement area;
determining an aerial route and aerial parameters of the unmanned aerial vehicle according to site survey and an electronic map, shooting by the unmanned aerial vehicle according to the aerial route and the aerial parameters to obtain preliminary oblique photography data of each partition, removing unnecessary and redundant data by using aerial photography pos data, and generating an oblique photography three-dimensional live-action model of each partition of a shooting area;
the unnecessary and redundant data refers to oblique photography data beyond the project specified range and abnormal oblique photography data, such as data in oblique photography deviating from a building or a structure too high or too low and oblique photography data with overlap in the mold closing process;
step three: assembling the oblique photography three-dimensional live-action models of each subarea, importing the three-dimensional live-action models of each subarea into three-maintenance editing software, and determining continuous numbers and two same special coordinate points of adjacent subareas; completing mold assembly of the oblique photography three-dimensional live-action model according to two same special coordinate points; processing the overlapped part after die assembly by using pos data to enable the three-dimensional real-scene models of adjacent subareas to be combined seamlessly; by analogy, the die assembly of the whole oblique photography area is completed;
setting a shooting route of the unmanned aerial vehicle in the direction vertical to the road slope to acquire image data of the vertical road slope;
integrating image data of the vertical road slope into the oblique photography three-dimensional live-action model, and establishing a corrected road slope oblique photography three-dimensional live-action model;
step six, inquiring the elevation of the slope in the corrected three-dimensional real-scene model of the slope oblique photography of the road slope, inquiring the proportion of the road slope in the cross section diagram of the construction subgrade, and calculating a formula according to the proportion of the slope: calculating the horizontal distance of the road slope; measuring the horizontal distance and the corresponding elevation point of the road slope in the corrected three-dimensional real-scene model of the road slope oblique photography, determining the top point of the slope top of the road slope, and further obtaining the earth volume of the road slope;
step seven, dividing the road slope into side slope areas, dividing filling and digging junction parts into filling and digging junction areas, and dividing other road earthwork measurement areas into rectangular areas and non-rectangular areas;
step eight, setting sampling points of earthwork measurement into rectangular sampling points and triangular sampling points, and dividing a slope region, a filling and digging junction region, a rectangular region and a non-rectangular region into a large region, a general region, a small region and a micro region according to areas; the sampling points are rectangular, including square and rectangle, generally square; the triangular sampling points are the triangular sampling points, and are generally equilateral triangles;
step nine, setting an earth calculation error, and calculating the sampling distance of the divided area according to the formula (1);
wherein f (a)i) Calculate error, f (d), for the earthwork of the i-th regioni) Is the sampling distance of the i-th region, f (c)i) Is the measured perimeter of the i-th region, [ integral ] f (x ^ fi)f(yi) dxdy is the measured area of the i-th region where ai、di、ciRespectively calculating error variable, sampling distance variable and measuring perimeter variable of the ith area; x is the number ofi、yiRespectively an x-axis value and a y-axis value of an ith area coordinate system; (ii) a
Step ten, in the rectangular area, setting the sampling distance of the large area as 1 unit, the sampling distance of the large area as 0.5 unit, the sampling distance of the general area as 0.3 unit, the sampling distance of the small area as 0.1 unit and the sampling distance of the micro area as 0.05 unit;
step eleven, setting the sampling distance of a large area to be 0.5 unit, the sampling distance of a large area to be 0.3 unit, the sampling distance of a general area to be 0.1 unit, the sampling distance of a small area to be 0.05 unit and the sampling distance of a micro area to be 0.01 unit in a slope area, a filling and digging boundary area and a non-rectangular area;
step twelve, according to the area of each region and the set sampling distance, rectangular sampling points are adopted in the rectangular region, triangular sampling points are adopted in the slope region, the non-rectangular region and the filling and digging junction region, and the filling and digging volume of each region is respectively measured; distributing sampling points with corresponding sampling distances in a defined area, and calculating the amount of excavated and filled earth in the area through application software;
and step thirteen, accumulating the filling and excavating earthwork amount of each area to obtain the road earthwork amount after the side slope treatment.
Preferably, in the second step, the aerial photography parameters include aerial photography height and speed, the aerial photography parameters are set according to the distribution situation of buildings in the site shooting area, the unmanned aerial vehicle test flight is set according to the preliminarily set aerial photography route and parameters, the aerial photography route and parameter setting are adjusted according to the test flight result, the aerial photography is carried out according to the adjusted aerial photography route and parameters, and preliminary oblique photography data are obtained.
Preferably, in step eight, the area of the large area is larger than 6400 square unit, 6400 square unit is larger than or equal to the larger area and larger than 1600 square unit, 1600 square unit is larger than or equal to the general area and larger than 576 square unit, 576 square unit is larger than or equal to the small area and larger than or equal to 64 square unit, and the area of the small area is smaller than or equal to 64 square unit.
The method comprises the steps of obtaining oblique photography data according to an aerial route and set parameters, and establishing an oblique photography three-dimensional live-action model; shooting in the direction vertical to the road slope, and establishing a corrected road slope oblique photography three-dimensional live-action model; dividing an earthwork measurement area into a rectangular area, a non-rectangular area, a slope area and a filling and digging junction area; dividing the region into five hierarchical regions of a large region, a general region, a small region and a micro region according to the area size of the region; determining sampling distances of five grade areas according to a proposed earthwork measurement error calculation formula; further determining the sampling distance and the sampling shape rule of each area, and calculating the excavation and filling amount of each area; the accumulated sum of the earth volume excavated and filled is the accumulated earth volume of the earth measurement area.
The method divides the measured earthwork area into a rectangular area, a non-rectangular area, a slope area and a filling and digging junction area, divides the area into five grade areas of a large area, a general area, a small area and a micro area according to the area, and determines the sampling distance of the five grade areas, thereby greatly improving the accuracy and efficiency of the earthwork measurement and reducing the measurement cost. Compared with rectangular sampling points, the area of the triangular sampling points is half of that of the rectangle under the same sampling distance, so that the rectangular sampling points are adopted in the rectangular region to improve the calculation efficiency, and the triangular sampling points are adopted in the non-rectangular region, the slope region and the filling and digging junction region to further improve the accuracy of earthwork measurement and reduce the measurement error. Meanwhile, the method improves the accuracy of the earthwork measurement of the road slope by correcting the three-dimensional live-action model of the road slope, thereby improving the accuracy of the accumulated earthwork amount and providing a reliable basis for the budget and settlement of road projects.
Claims (3)
1. A method for measuring earthwork of roads with different gradients based on oblique photography technology is characterized by comprising the following steps:
collecting and arranging geographic position data of an earthwork measurement area;
determining an aerial route and aerial parameters of the unmanned aerial vehicle according to site survey and an electronic map, shooting by the unmanned aerial vehicle according to the aerial route and the aerial parameters to obtain preliminary oblique photography data of each subarea, removing unnecessary and redundant data by using aerial photography pos data, and generating an oblique photography three-dimensional live-action model of each subarea of a shooting area;
step three: assembling the oblique photography three-dimensional live-action models of each subarea, importing the three-dimensional live-action models of each subarea into three-maintenance editing software, and determining continuous numbers and two same special coordinate points of adjacent subareas; completing mold assembly of the oblique photography three-dimensional live-action model according to two same special coordinate points; processing the overlapped part after die assembly by using pos data to enable the three-dimensional real-scene models of adjacent subareas to be combined seamlessly; by analogy, the die assembly of the whole oblique photography area is completed;
setting a shooting route of the unmanned aerial vehicle in the direction vertical to the road slope to acquire image data of the vertical road slope;
integrating image data of the vertical road slope into the oblique photography three-dimensional live-action model, and establishing a corrected road slope oblique photography three-dimensional live-action model;
step six, inquiring the elevation of the slope in the corrected three-dimensional real-scene model of the slope oblique photography of the road slope, inquiring the proportion of the road slope in the cross section diagram of the construction subgrade, and calculating a formula according to the proportion of the slope: calculating the horizontal distance of the road slope; measuring the horizontal distance and the corresponding elevation point of the road slope in the corrected three-dimensional real-scene model of the road slope oblique photography, determining the top point of the slope top of the road slope, and further obtaining the earth volume of the road slope;
step seven, dividing the road slope into side slope areas, dividing filling and digging junction parts into filling and digging junction areas, and dividing other road earthwork measurement areas into rectangular areas and non-rectangular areas;
step eight, setting sampling points of earthwork measurement into rectangular sampling points and triangular sampling points, and dividing a slope region, a filling and digging junction region, a rectangular region and a non-rectangular region into a large region, a general region, a small region and a micro region according to areas;
step nine, setting an earth calculation error, and calculating the sampling distance of the divided area according to the formula (1);
wherein f (a)i) Calculate error, f (d), for the earthwork of the i-th regioni) Is the sampling distance of the i-th region, f (c)i) Is the measured perimeter of the i-th region, [ integral ] f (x ^ fi)f(yi) dxdy is the measured area of the ith region; wherein a isi、di、ciRespectively calculating error variable, sampling distance variable and measuring perimeter variable of the ith area; x is the number ofi、yiRespectively an x-axis value and a y-axis value of an ith area coordinate system;
step ten, in the rectangular area, setting the sampling distance of the large area as 1 unit, the sampling distance of the large area as 0.5 unit, the sampling distance of the general area as 0.3 unit, the sampling distance of the small area as 0.1 unit and the sampling distance of the micro area as 0.05 unit;
step eleven, setting the sampling distance of a large area to be 0.5 unit, the sampling distance of a large area to be 0.3 unit, the sampling distance of a general area to be 0.1 unit, the sampling distance of a small area to be 0.05 unit and the sampling distance of a micro area to be 0.01 unit in a slope area, a filling and digging boundary area and a non-rectangular area;
step twelve, according to the area of each region and the set sampling distance, rectangular sampling points are adopted in the rectangular region, triangular sampling points are adopted in the slope region, the non-rectangular region and the filling and digging junction region, and the filling and digging volume of each region is respectively measured;
and step thirteen, accumulating the filling and excavating earthwork amount of each area to obtain the road earthwork amount after the side slope treatment.
2. The different-gradient road earth measurement method based on oblique photography technology according to claim 1, characterized in that: and in the second step, the aerial photographing parameters comprise aerial photographing height and speed, the aerial photographing height and speed are set according to the distribution condition of buildings in the field photographing area, the unmanned aerial vehicle test flight is set according to the preliminarily set aerial photographing route and parameters, the aerial photographing route and parameter setting are adjusted according to the test flight result, photographing is carried out according to the adjusted aerial photographing route and parameters, and preliminary oblique photographing data are obtained.
3. The different-gradient road earth measurement method based on oblique photography technique according to claim 1 or 2, characterized in that: in step eight, the large area is larger than 6400 square unit, 6400 square unit is larger than or equal to the larger area and larger than 1600 square unit, 1600 square unit is larger than or equal to the general area and larger than 576 square unit, 576 square unit is larger than or equal to the small area and larger than 64 square unit, and the small area is smaller than or equal to 64 square unit.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010537440.6A CN111765869A (en) | 2020-06-12 | 2020-06-12 | Different-gradient road earthwork measurement method based on oblique photography technology |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010537440.6A CN111765869A (en) | 2020-06-12 | 2020-06-12 | Different-gradient road earthwork measurement method based on oblique photography technology |
Publications (1)
Publication Number | Publication Date |
---|---|
CN111765869A true CN111765869A (en) | 2020-10-13 |
Family
ID=72721048
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010537440.6A Pending CN111765869A (en) | 2020-06-12 | 2020-06-12 | Different-gradient road earthwork measurement method based on oblique photography technology |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111765869A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114091143A (en) * | 2021-10-29 | 2022-02-25 | 中国二十冶集团有限公司 | Mountain road construction design method based on oblique photography technology |
CN114485560A (en) * | 2021-12-22 | 2022-05-13 | 绍兴市特种设备检测院 | Road slope rapid detection method for off-highway tourist and sightseeing vehicle |
CN115183716A (en) * | 2022-09-10 | 2022-10-14 | 武汉光昱明晟智能科技有限公司 | Earth measurement method and system based on intelligent navigation robot |
CN116628834A (en) * | 2023-07-26 | 2023-08-22 | 北京飞渡科技股份有限公司 | Contour segmentation correction method and device based on neural network |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100074538A1 (en) * | 2008-09-25 | 2010-03-25 | Microsoft Corporation | Validation and correction of map data using oblique images |
US20150353205A1 (en) * | 2008-04-11 | 2015-12-10 | Nearmap Australia Pty Ltd | Systems and methods of capturing large area images in detail including cascaded cameras and/or calibration features |
CN106412526A (en) * | 2016-11-15 | 2017-02-15 | 武汉市公安局公共交通分局 | Police oblique-photography real 3D platform system and interface system thereof |
CN107885960A (en) * | 2017-12-07 | 2018-04-06 | 北京天润新能投资有限公司 | A kind of earthwork estimation system and evaluation method based on construction road automatic route selection in wind power plant field |
WO2018224551A1 (en) * | 2017-06-08 | 2018-12-13 | Caterpillar Sarl | Improvements in the stability of work machines |
CN109115297A (en) * | 2018-07-14 | 2019-01-01 | 中铁贵州工程有限公司 | A kind of measurement method of unmanned plane engineering amount of fill and amount of excavation |
CN110210135A (en) * | 2019-06-04 | 2019-09-06 | 施甸县保施高速公路投资开发有限公司 | A kind of slope project entire area quality evaluation technology |
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 |
-
2020
- 2020-06-12 CN CN202010537440.6A patent/CN111765869A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20150353205A1 (en) * | 2008-04-11 | 2015-12-10 | Nearmap Australia Pty Ltd | Systems and methods of capturing large area images in detail including cascaded cameras and/or calibration features |
US20100074538A1 (en) * | 2008-09-25 | 2010-03-25 | Microsoft Corporation | Validation and correction of map data using oblique images |
CN106412526A (en) * | 2016-11-15 | 2017-02-15 | 武汉市公安局公共交通分局 | Police oblique-photography real 3D platform system and interface system thereof |
WO2018224551A1 (en) * | 2017-06-08 | 2018-12-13 | Caterpillar Sarl | Improvements in the stability of work machines |
CN107885960A (en) * | 2017-12-07 | 2018-04-06 | 北京天润新能投资有限公司 | A kind of earthwork estimation system and evaluation method based on construction road automatic route selection in wind power plant field |
CN109115297A (en) * | 2018-07-14 | 2019-01-01 | 中铁贵州工程有限公司 | A kind of measurement method of unmanned plane engineering amount of fill and amount of excavation |
CN110210135A (en) * | 2019-06-04 | 2019-09-06 | 施甸县保施高速公路投资开发有限公司 | A kind of slope project entire area quality evaluation technology |
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 |
Non-Patent Citations (3)
Title |
---|
王果 等: "基于无人机倾斜摄影的露天矿工程量计算方法", 《金属矿山》 * |
罗德仁 等: "工程土方量计算比较分析", 《东华理工学院学报》 * |
黄远祥 等: "基于Revit的风景园林土方计算方法优化分析", 《中国建设信息化》 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114091143A (en) * | 2021-10-29 | 2022-02-25 | 中国二十冶集团有限公司 | Mountain road construction design method based on oblique photography technology |
CN114091143B (en) * | 2021-10-29 | 2023-01-31 | 中国二十冶集团有限公司 | Mountain road construction design method based on oblique photography technology |
CN114485560A (en) * | 2021-12-22 | 2022-05-13 | 绍兴市特种设备检测院 | Road slope rapid detection method for off-highway tourist and sightseeing vehicle |
CN114485560B (en) * | 2021-12-22 | 2024-03-15 | 绍兴市特种设备检测院 | Road gradient rapid detection method for off-highway sightseeing vehicle |
CN115183716A (en) * | 2022-09-10 | 2022-10-14 | 武汉光昱明晟智能科技有限公司 | Earth measurement method and system based on intelligent navigation robot |
CN116628834A (en) * | 2023-07-26 | 2023-08-22 | 北京飞渡科技股份有限公司 | Contour segmentation correction method and device based on neural network |
CN116628834B (en) * | 2023-07-26 | 2023-10-20 | 北京飞渡科技股份有限公司 | Contour segmentation correction method and device based on neural network |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111765869A (en) | Different-gradient road earthwork measurement method based on oblique photography technology | |
CN111125821B (en) | BIM+GIS foundation and foundation subsection engineering analysis and type selection method | |
CN111765867A (en) | Road effective earth volume calculation method based on oblique photography technology | |
CN109508508B (en) | Surface mine governance investigation design method | |
CN110728752A (en) | Construction method of three-dimensional terrain scene model of road | |
CN111191307B (en) | Earthwork virtual construction method based on BIM+GIS technology | |
CN110986773B (en) | Method for measuring engineering earth volume based on unmanned aerial vehicle shooting | |
CN111783190A (en) | Road earth volume calculation method based on oblique photography technology | |
CN107330140A (en) | The method that transformer station is quickly vertically arranged is realized based on BIM technology | |
CN111667569B (en) | Three-dimensional live-action soil visual accurate measurement and calculation method based on Rhino and Grasshopper | |
CN113960596B (en) | Landslide three-dimensional deformation monitoring method based on Beidou and PS-InSAR | |
CN111815566B (en) | Method for calculating earthwork of reconstructed or expanded road based on oblique photography technology | |
CN111256730A (en) | Earth mass balance correction calculation method for low-altitude oblique photogrammetry technology | |
CN111005273A (en) | Temporary road arrangement method for construction | |
CN111353681A (en) | BIM technology-based high-precision calculation method for in-site earth and stone engineering quantity | |
CN114859374B (en) | Newly-built railway cross measurement method based on unmanned aerial vehicle laser point cloud and image fusion | |
CN110411422A (en) | The planing method of builder's road based on BIM | |
CN111797454A (en) | Foundation pit earth volume calculation method based on digital informatization technology | |
CN114283070B (en) | Method for manufacturing terrain section by fusing unmanned aerial vehicle image and laser point cloud | |
CN113532509A (en) | Large-scale high and steep slope monitoring method based on air-ground three-dimensional technology | |
CN111783191A (en) | Mountain road earth volume calculation method based on oblique photography technology | |
CN114564779A (en) | Planning method for complex mountain construction sidewalk based on BIM and unmanned aerial vehicle | |
CN116448080B (en) | Unmanned aerial vehicle-based oblique photography-assisted earth excavation construction method | |
CN111765868A (en) | Earth measurement method based on oblique photography technology and divided according to different grids | |
CN111986320A (en) | DEM and oblique photography model space fitting optimization algorithm for smart city application |
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 | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20201013 |
|
RJ01 | Rejection of invention patent application after publication |