CN101335431A - Overhead power transmission line optimized line selection method based on airborne laser radar data - Google Patents
Overhead power transmission line optimized line selection method based on airborne laser radar data Download PDFInfo
- Publication number
- CN101335431A CN101335431A CNA2008100737258A CN200810073725A CN101335431A CN 101335431 A CN101335431 A CN 101335431A CN A2008100737258 A CNA2008100737258 A CN A2008100737258A CN 200810073725 A CN200810073725 A CN 200810073725A CN 101335431 A CN101335431 A CN 101335431A
- Authority
- CN
- China
- Prior art keywords
- data
- dom
- line
- dem
- route selection
- 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
Landscapes
- Traffic Control Systems (AREA)
Abstract
The invention discloses an optimal route selection method for overhead transmission line route. Onboard lidar equipment is adopted to acquire laser point cloud data and aerial digital photo data of the transmission line route corridor range; the onboard lidar data is processed after the wave filtering and the sorting of the laser point cloud data, and the points of the ground surface are made into a digital elevation model with high precision; then data processing is carried out by utilizing the data of the digital elevation model with high precision and ortho-rectification is carried out to the aerial photo by utilizing the internal and external orientation elements of the aerial digital photo to generate digital orthophoto maps; through the overlying of the digital elevation model and the digital orthophoto maps, the tridimensional visualization of the transmission line route corridor can be realized to optimize the transmission line route selection; finally prearrangement of power pole and power pole arrangement are carried out according to the data of plane cross sections. The route selection platform of the invention has simple operation and lifelike tridimensional scene, thus being convenient for full roaming and multi-view observation and greatly improving the efficiency of the inner plane cross section survey operation. Compared with the optimal route selection technology based on the aerial photographing measuring method, the efficiency of the inner plane cross section survey operation can be improved by about 75 percent.
Description
Technical field
The invention belongs to the overhead power transmission line optimized line selection technical field, promptly based on the overhead power transmission line optimized line selection method of airborne laser radar data, it is applicable to the optimization route selection of aerial high-voltage power transmission line engineering in the survey and design stage.
Background technology
At present, domestic aerial high-voltage power transmission line engineering (the above grade of 220kV) is optimized route selection and is adopted the aerophotogrammetry method to realize usually, promptly can grind recommendation paths scheme or Preliminary design route scheme according to circuit, obtain the stereogram image of circuit corridor scope (if not as digital image by aeroplane photography, then need carry out the photo egative film and wash the line scanning digitlization of going forward side by side), the empty three enciphered datas processing of industry in utilizing then that boat is outer and in full digital photogrammetric system, carrying out as detection amount achievement, to recover picture to three-dimensional model, by picture three-dimensional model is reproduced topography and geomorphology in the scope of circuit corridor, on this basis, the designer is optimized the route selection operation.According to optimizing route selection path achievement coordinate, photogrammetric office work operating personnel utilizes the full digital photogrammetric system pointwise to carry out the plane cross section collection.According to the plane cross section data, carry out pre-tier pole and tier pole by the designer.Although use the history in existing nearly ten years based on the optimization route selection technology of aerophotogrammetry method, it is undisputable fact that there is following defective in this technology:
1. precision is low.Especially cover dense area for vegetation, because mark can't accurately be cut the accurate face of land, industry plane cross section collection homework precision is lower in causing;
2. efficient is low.Interior industry data processing must can be carried out as detection amount achievement by the field;
3. the adaptability of operating environment is relatively poor.Cover intensive and depopulated zone for some vegetation, cause and to implement as the detection amount owing to outside can't navigating;
4. it is relatively poor that boat flies operation meteorological condition adaptability.The aerophotogrammetry operation flies meteorological condition to boat and has relatively high expectations, even sun altitude etc. is all had requirement, is that mainly this technology is the passive remote sensing technology;
5. optimizing the route selection hardware platform requires high.Its software platform of optimization route selection technology based on the aerophotogrammetry method must can move on photogrammetric work station, comprise CRT monitor and other auxiliary equipment that be used for stereopsis (anaglyph spectacles, handwheel, pin dish and stereoscopic display screen, or other alternate devices) of requirement vertical scanning frequency greater than 100Hz;
6. aspect the three-dimensional visualization effect of circuit corridor, based on aerophotogrammetric three-dimensional scenic is by recovering picture three-dimensional model to be obtained, the operating personnel must wear anaglyph spectacles and can see, operating personnel's eyes are very easy to tired, and stereoeffect has apprehensive sensation.
The airborne laser radar technology is set laser scanning, global location (GPS) and inertial navigation new and high technologies such as (INS) the efficient three-dimensional initiatively aerial remote sens ing technique in one, adopting this technology can realize obtaining fast high-spatial and temporal resolution space three-dimensional geodata, is the most advanced in the world at present aerial remote sens ing technique.Compare with the aerophotogrammetry technology, this technology has that high accuracy, high efficiency, operating environment adaptability are strong, boat fly operation meteorological condition adaptability good, optimize advantages such as the low and topography and geomorphology three-dimensional visualization effect of route selection hardware platform configuration requirement is more true to nature.
Summary of the invention
The present invention is directed to the present defective that exists based on the overhead power transmission line optimized line selection method of aerophotogrammetry method, proposed a kind of overhead power transmission line optimized line selection method, realized comprising aerial high-voltage power transmission line optimization route selection, flat profile plotting and pre-tier pole etc. based on airborne laser radar data.This technology has the certainty of measurement height, the field work amount is little, circuit corridor three-dimensional visualization effect is true to nature, boat flies the operation meteorological condition and operating environment adaptability is good and to optimizing advantages such as route selection hardware platform configuration requirement is low, have the significant social economic benefit.
The technical scheme of overhead power transmission line optimized line selection method of the present invention is achieved in that it comprises that boat flies data acquisition, data processing, route selection and tier pole, is characterized in:
(1) design path scheme is used the airborne laser radar devices collect data;
(2) airborne laser radar data is handled generation digital elevation model dem data and digital orthophoto map DOM data;
(3) digital elevation model dem data and digital orthophoto map DOM and laser point cloud data etc. are imported optimization route selection platform, image output is transferred and is drawn, and navigates to transfer to other localities and paint operation;
(4) plot fruit with reference to open-air the accent, in optimizing the route selection platform, utilize digital elevation model dem data and digital orthophoto map DOM geometric superposition to make up circuit corridor three-dimensional scenic,, carry out the line optimization route selection according to the line design standard;
(5) carry out pre-tier pole according to the instant sectional drawing that extracts automatically, pre-tier pole is by back image output path profile;
(6) carry out the plane cross section data acquisition according to optimizing route selection path achievement;
(7) optimize tier pole.
These concrete steps of optimizing selection method are as follows:
(1) according to recommendation paths scheme or the Preliminary design route scheme that can grind after the examination, utilize 1,/10,000,1,/50,000 or other remote sensing satellite image with geo-location navigate and fly design and carry out the airborne laser radar data collection.Specific as follows:
1.DEM with the DOM accuracy Design.DEM and DOM achievement must reach 1/2000 scale accuracy requirement;
2. flying height design.According to DEM and DOM product precision, determine that laser spots is spaced apart 2.5 meters, image resolution is not more than 0.3 meter, determines flying height in view of the above, and is relevant with the performance of airborne laser radar equipment;
3. (might not in the scope of the circuit corridor of required image data) lays and is no less than 2 ground GPS base stations in the online curb line scope, and guarantee that the distance of taking the photograph between the interior nearest base station, optional position, district is no more than 50KM, carry out the translocation of ground GPS base sites, obtain WGS84 coordinate and Beijing Geodetic Coordinate System 1954 coordinate.
4. according to just establishing route scheme and hypsography situation, rationally lay the course line.Specific requirement comprises:
1) every course line rectilinear flight time is no more than 30 minutes;
2) width of each air strips is not less than 2km;
3) if air strips need several course lines to cover, must guarantee no absolute leak between the course line;
4) the boat scope of flying road starting point, the destination county 1km that vertically respectively stretches out along the line.
(2) airborne laser radar data is handled generation digital elevation model and digital orthophoto map data.Specific as follows:
1. laser point cloud data resolves.Utilize airborne POS data, surface based website gps measurement data and laser scanning data, by resolving to obtain the laser point cloud data under the selected coordinate system of user;
2. utilize airborne laser radar data process software such as TerraSolid software to carry out the generation of classification, origin coordinate system transform and the 1/2000 engineer's scale DEM and the DOM of laser point cloud data;
3.DEM with the DOM deblocking.For the ease of data fast dispatch and management, according to the positive northern piecemeal in due south, the branch block size is 3km * 3km with DEM and DOM data, each minute interblock be retained to few 10 meters overlapping.
(3) digital elevation model and digital orthophoto map and laser point cloud data etc. are imported optimization route selection platform, image output is transferred and is drawn, and navigates to transfer to other localities and paint operation.Specific as follows:
1. DEM, DOM and laser point cloud data are imported the optimization route selection platform with function shown in figure two, to realize fast dispatch, management and to use to DEM, DOM and laser point cloud data;
2. image output is transferred and is drawn.Splice by DOM, realize the DOM splicing output of each air strips, consider that the field carries and transfer the needs of painting, usually according to the output of 1/10000 engineer's scale and print piecemeal;
3. boat is transfered to other localities and is painted.Along can grind recommendation paths or just establish the path to the path each side 300 meters scopes transfer and paint.
Accent is painted content and is comprised plan position approach and height and crossing angle etc.The plan position approach comprises that building, power line, order wire and underground cable, road, water system and industrial crops district and other influence the atural object of line route.
Height and crossing angle transfer paint comprise depth of building, scissors crossing point highly, the crossing angle of shaft tower height and I and II order wire and underground cable and circuit etc.
(4) plot fruit with reference to open-air the accent, in optimizing the route selection platform, utilize digital elevation model and digital orthophoto map geometric superposition to make up circuit corridor three-dimensional scenic,, carry out the line optimization route selection according to the line design standard.Specific as follows:
1. in optimizing the route selection platform, realize its fast dispatch and management by Fast Compression, index to DEM, DOM data;
2. DEM and DOM are carried out geometric superposition, realize the structure (three-dimensional modeling of circuit corridor landform) of circuit corridor three-dimensional scenic;
3. the designer transfers to other localities with reference to boat and plots fruit, is optimized route selection in three-dimensional scenic.
(5) the instant sectional drawing (comprising center line and sideline, the left and right sides) that extracts automatically of basis carries out pre-tier pole, and pre-tier pole passes through back image output path profile, otherwise returns step 4.Specific as follows:
1. according to selected path, (decide on topographic features, according to per 5 meters sampling intervals for the landform flat country, can suitably add large-spacing, on the contrary, for regions with complex terrain, can suitably reduce the sampling interval) from dem data, extract profile data automatically, comprise center line and sideline, the left and right sides;
2. the designer carries out pre-tier pole according to profile data.Pre-tier pole passes through, image output path profile and enter next step then, otherwise return step 4.
(6) carry out the plane cross section data acquisition according to optimizing route selection path achievement.Specific as follows:
1. according to optimizing route selection path achievement, carry out center line and sideline, left and right sides profile data extracts automatically.Then in three-dimensional scenic, manually gather for windage yaw and dangerous spot;
2. utilize DOM to carrying out the quick collection of plane atural object, utilize laser point cloud data and dem data to extract automatically for the height of tree, Fang Gaoke for each 50m scope of central lines of track both sides.Simultaneously, for some hidden atural objects or power line etc., then transfer to other localities to plot really and gather in conjunction with boat.
3. in the plane cross section, the plane engineer's scale is 1/5000, and the elevation engineer's scale is 1/500.
(7) tier pole.The designer is according to the plane cross section data and tier pole software is optimized in the design specification utilization such as road henry software is optimized tier pole.
Above-mentioned detailed step also is described as follows:
Step 1:
According to recommendation paths scheme or Preliminary design route scheme and the relevant rules standard that can grind after the examination, utilize 1,/10,000,1,/50,000 or other remote sensing satellite image with geo-location navigate and fly design and carry out the airborne laser radar data collection.Technical standard and the standard carried out in this process comprise:
■ " 1: 10000,1: 50000 topographic map IMU/DGPS auxiliary aviation camera work regulation (trying) " (in December, 2004, State Bureau of Surveying and Mapping)
■ " aerial power transmission line aerophotogrammetry technical regulation " DL/T 5138-2001 (China's Electric Power Industry standard)
■ " 500kV aerial power transmission line prospecting technique rules " DL/T 5122-2000 (China's Electric Power Industry standard)
■ " 110～500kV aerial power transmission line designing technique rules " DL/T 5092-1999 (China's Electric Power Industry standard)
■ " 220kV～500kV compact aerial power transmission line designing technique rules " DL/T 5217-05 (China's Electric Power Industry standard)
Particular content comprises:
1. to fly height be that principle is determined with the laser point cloud data of gathering gained and DEM and the DOM data that aviation digital image data can obtain satisfied 1/2000 scale accuracy after treatment for airborne laser radar boat;
2. the airborne laser radar boat flies bandwidth and is not less than 2km usually, determine the required air strips number and the course line quantity of every required laying in air strips according to line route and airborne laser radar equipment performance, and guarantee between each air strips and no absolute leak between the course line of same air strips;
3. according to taking the photograph district size, in taking the photograph the district, rationally lay and be no less than 2 base stations, and take the photograph in the district between optional position and nearest base station apart from surpassing 50KM.Adopt IGS (international GPS service) precise ephemeris and high-precision GPS Data Management Analysis software to resolve each base sites WGS84 coordinate under National GPS 2000 frameworks, also can with near known high-grade control point translocation, implement the GPS static immobilization and measure, and exact solution is calculated base station WGS84 coordinate system and selected coordinate system (being generally Beijing 54 coordinate systems) the two cover coordinates of user.
Step 2:
Airborne laser radar data is handled, and comprises resolving and the generation of DEM and DOM of laser point cloud data.By laser point cloud data is classified, it is divided into face of land laser point cloud data and non-face of land laser point cloud data, utilize face of land laser point cloud data to generate dem data.Realize that by the s internal and external orientation of dem data and aviation digital image orthorectify to the aviation digital image is to obtain the DOM data.
1. laser point cloud data resolves.Utilize airborne POS data, surface based website gps measurement data and laser scanning data, by resolving to obtain the laser point cloud data under the selected coordinate system of user;
2. (this software system moves based on the MicroStation platform to utilize airborne laser radar data process software such as TerraSolid, comprise three modules of TerraScan, TerraModeler and TerraPhoto), perhaps the software of company such as Leica carries out classification, origin coordinate system transform and the DEM of laser point cloud data and the generation of DOM;
3.DEM must satisfy 1/2000 scale accuracy requirement with DOM;
4.DEM with the piecemeal of DOM according to the capable piecemeal of the positive northing in due south, the branch block size is 3km * 3km, data format adopts GeoTiff form or other general format usually.
Step 3:
With importings such as DEM, DOM and laser point cloud data possess that DEM and DOM geometric superposition make up three-dimensional scenic, optimize route selection, section extracts automatically, plane atural object gathers fast, transfers and draw and the optimization route selection platform of basic functions such as the output of image path profile, pre-tier pole, massive spatial data fast dispatch and management, and by air strips image output accent drawing (orthophotoquad behind the piecemeal is spliced), be generally 1,/10,000 engineer's scales, transfer to other localities navigating after its printout and paint operation.
Step 4:
In optimizing the route selection platform, the designer paints data and is optimized route selection according to " 110～500kV aerial power transmission line designing technique rules " (DL/T 5092-1999), " 220kV～500kV compact aerial power transmission line designing technique rules " rules such as (DL/T 5217-05) with reference to accent.
Step 5:
Carry out section according to selected path and extract automatically, the designer carries out the walkthrough bar on this section basis, if pre-tier pole passes through, and image output path profile and optimize route selection corner coordinate results then, otherwise, return step 4 and be optimized the route selection operation again.
Step 6:
Carry out the plane cross section data acquisition according to optimizing route selection path achievement.Specifically, profile data (comprising sideline, the left and right sides and center line) extracts automatically by dem data, but for windage yaw and dangerous spot, then manually gathers in three-dimensional scenic.Panel data carries out artificial collection fast by the DOM data, then utilizes DEM, DOM and laser point cloud data to extract automatically for information such as room height, the height of trees.
Step 7:
The designer is optimized the tier pole operation according to the existing tier pole software of plane cross section data utilization.
The present invention compares with currently used optimization route selection technology based on the aerophotogrammetry method, and its outstanding substantive distinguishing features and obvious improvement is:
1. the accommodation of operating environment is wider.Especially for dense vegetation and depopulated zone, the aerophotogrammetry operation be owing to can't lay the picture control and often can't carry out, but for the airborne laser radar boat flies data acquisition and processing, then need not these misgivings;
2. certainty of measurement is higher.Especially cover more area for vegetation, because laser has certain penetration capacity, can get access to more high-precision topographical surface data, the aerophotogrammetry operational method needs the operating personnel to estimate the height of tree, can get access to the topographical surface data, therefore its measure error is bigger, especially height accuracy;
3. it is more accurate to optimize route selection, and it is more reasonable that the tower position is selected, and the meticulous control of construction investment effectively reduces deforestation, the farmland takies and housing demolition etc., avoids line-group contradiction to greatest extent.The high accuracy DEM data, the support of DOM data and laser point cloud data, feasible interpretation to terrain and its features, the measurement of spatial information with obtain more accurately and convenient, such as the room height, information such as the height of tree and tower height can be extracted easily automatically by laser point cloud data, help dodging in the route selection process to some important atural objects, such as highway, the village, the planning region, temple, banyan, mining area etc., the designer can more accurately carry out Path selection meticulously, Control Engineering investment more subtly, more reasonably select the tower position, avoid the generation of line-group contradiction to greatest extent;
4. more help realizing digital electrical network.The construction of numeral electrical network is an inexorable trend, and the high accuracy airborne laser radar data can be directly used in digital power grid construction, and the owner need not invest once more to navigate and fly data and obtain, and can save potential investment and can accelerate digital power grid construction for the owner;
5. more help realizing surveying eventually relocating of may running in position or the work progress.Airborne laser radar path optimization route selection platform need not to be equipped with the required professional stereopsis equipment of aerophotogrammetry, and can be installed in easily on the portable machine, therefore the designer carries out route selection in the scene in the open air, and carry out pre-tier pole according to instant profile data, improve the operating efficiency of relocating greatly;
6. it is higher to optimize route selection efficient.It is higher that airborne laser radar data is handled automaticity, the outer picture detection amount of need not navigating.The route selection platform operations is easy, and three-dimensional scenic is more true to nature, can conveniently carry out all fronts roaming and various visual angles and observe, and is convenient to the designer and holds line route on the whole.The flat profile plotting operating efficiency of interior industry improves greatly.By statistics, compare with the optimization route selection technology based on the aerophotogrammetry method, flat profile plotting operating efficiency of industry can improve about 75% in it.
Description of drawings
Fig. 1 is the overhead power transmission line optimized line selection operation process chart based on airborne laser radar data;
Embodiment is seen in the explanation of Fig. 1.
Fig. 2 is the overhead power transmission line optimized line selection platform feature figure based on airborne laser radar data;
Among Fig. 2, the overhead power transmission line optimized line selection platform feature comprises that DEM and DOM geometric superposition make up circuit corridor three-dimensional scenic, optimize route selection, section extracts automatically, plane atural object is gathered fast, image is transferred the output of drawing, the fast dispatch and the management of the output of image path profile, pre-tier pole and massive spatial data.
Fig. 3 is an aerial power transmission line tier pole result map.
Top among Fig. 3 is divided into sectional drawing; The lower part is a plane graph.
Embodiment
Below with Guangxi Zhuang Autonomous Region big new-Nanning 500kV Overhead Line Project is an example, according to workflow shown in Figure 1, be described in detail as follows:
Step 1: the airborne laser radar boat flies design and data acquisition
1. according to Preliminary design route scheme and relevant rules standard, utilize 1,/10,000,1,/50,000 or other remote sensing satellite image with geo-location navigate and fly design and carry out the airborne laser radar data collection;
2. coordinate system design.Adopt Beijing Geodetic Coordinate System 1954, gauss projection, 3 degree bands.Height datum adopts 1956 Huanghai Sea elevations;
3.DEM with the DOM accuracy Design.DEM and DOM achievement must reach 1/2000 scale accuracy requirement;
4. flying height design.According to DEM and DOM product precision, determine that laser spots is spaced apart 2.5 meters, image resolution is not more than 0.3 meter, determines flying height in view of the above, and is relevant with the performance of airborne laser radar equipment;
5. (might not in the scope of the circuit corridor of required image data) lays and is no less than 2 ground GPS base stations in the online curb line scope, and guarantee that the distance of taking the photograph between the interior nearest base station, optional position, district is no more than 50KM, carry out the translocation of ground GPS base sites, obtain WGS84 coordinate and Beijing Geodetic Coordinate System 1954 coordinate.
6. according to just establishing route scheme and hypsography situation, rationally lay the course line.Specific requirement comprises:
1) every course line rectilinear flight time is no more than 30 minutes;
2) width of each air strips is not less than 2km;
3) if air strips need several course lines to cover, must guarantee no absolute leak between the course line;
4) the boat scope of flying road starting point, the destination county 1km that vertically respectively stretches out along the line.
7. flying platform adopts fortune-5 or fortune-12.
Step 2: airborne laser radar data is handled
1. laser point cloud data resolves.Utilize airborne POS data, surface based website gps measurement data and laser scanning data, by resolving to obtain the laser point cloud data under the selected coordinate system of user;
2. utilize airborne laser radar data process software such as TerraSolid software (this software system comprises three modules of TerraScan, TerraModeler and TerraPhoto based on the operation of MicroStation platform) to carry out the generation of classification, origin coordinate system transform and the 1/2000 engineer's scale DEM and the DOM of laser point cloud data;
3.DEM with the DOM deblocking.For the ease of data fast dispatch and management, according to the positive northern piecemeal in due south, the branch block size is 3km * 3km with DEM and DOM data, each minute interblock be retained to few 10 meters overlapping.
Step 3: DEM, DOM and laser point cloud data import optimizes the route selection platform, and image output is transferred to draw and navigate to transfer to other localities and painted
1. DEM, DOM and laser point cloud data are imported the optimization route selection platform with function shown in figure two, to realize fast dispatch, management and to use to DEM, DOM and laser point cloud data;
2. image output is transferred and is drawn.Splice by DOM, realize the DOM splicing output of each air strips, consider that the field carries and transfer the needs of painting, usually according to the output of 1/10000 engineer's scale and print piecemeal;
3. boat is transfered to other localities and is painted.Along can grind recommendation paths or just establish the path to the path each side 300 meters scopes transfer and paint.Accent is painted content and is comprised plan position approach and height and crossing angle etc.The plan position approach comprises that building, power line, order wire and underground cable, road, water system and industrial crops district and other influence the atural object of line route.Height and crossing angle transfer paint comprise depth of building, scissors crossing point highly, the crossing angle of shaft tower height and I and II order wire and underground cable and circuit etc.
Step 4: plot fruit with reference to the boat investigation mission outside the city or town, in optimizing the route selection platform, utilize DEM, DOM to make up circuit corridor three-dimensional scenic,, be optimized route selection according to the relevant design standard
1. in optimizing the route selection platform, realize its fast dispatch and management by Fast Compression, index to DEM, DOM data;
2. DEM and DOM are carried out geometric superposition, realize the structure (three-dimensional modeling of circuit corridor landform) of circuit corridor three-dimensional scenic;
3. the designer transfers to other localities with reference to boat and plots fruit, is optimized route selection in three-dimensional scenic.
Step 5: carry out section according to selected path and extract automatically, comprise center line and sideline, the left and right sides, utilize profile data to carry out pre-tier pole
1. according to selected path, (decide on topographic features, according to per 5 meters sampling intervals for the landform flat country, can suitably add large-spacing, on the contrary, for regions with complex terrain, can suitably reduce the sampling interval) from dem data, extract profile data automatically, comprise center line and sideline, the left and right sides;
2. the designer carries out pre-tier pole according to profile data.Pre-tier pole passes through, image output path profile and enter next step then, otherwise return step 4.
Step 6: plane cross section data acquisition
1. according to optimizing route selection path achievement, carry out center line and sideline, left and right sides profile data extracts automatically.Then in three-dimensional scenic, manually gather for windage yaw and dangerous spot;
2. utilize DOM to carrying out the quick collection of plane atural object, utilize laser point cloud data and dem data to extract automatically for the height of tree, Fang Gaoke for each 50m scope of central lines of track both sides.Simultaneously, for some hidden atural objects or power line etc., then transfer to other localities to plot really and gather in conjunction with boat.
3. in the plane cross section, the plane engineer's scale is 1/5000, and the elevation engineer's scale is 1/500.
Step 7: tier pole
The designer is according to the plane cross section data and tier pole software is optimized in the design specification utilization such as road henry software is optimized tier pole.Shown in figure three.
Claims (8)
1, a kind of overhead power transmission line optimized line selection method, it comprises that boat flies data acquisition, data processing, route selection and tier pole, it is characterized in that: its step is as follows:
1) boat flies design, and carries out airborne laser radar boat and fly data acquisition;
2) airborne laser radar data is handled generation digital elevation model dem data and digital orthophoto map DOM data;
3) digital elevation model dem data and digital orthophoto map DOM and laser point cloud data etc. are imported optimization route selection platform, image output is transferred and is drawn, and navigates to transfer to other localities and paint operation;
4) plot fruit with reference to open-air the accent, in optimizing the route selection platform, utilize digital elevation model dem data and digital orthophoto map DOM geometric superposition to make up circuit corridor three-dimensional scenic,, carry out the line optimization route selection according to the line design standard;
5) carry out pre-tier pole according to the instant sectional drawing that extracts automatically, pre-tier pole is by back image output path profile;
6) carry out the plane cross section data acquisition according to optimizing route selection path achievement;
7) optimize tier pole.
2, overhead power transmission line optimized line selection method according to claim 1, it is characterized in that: boat flies design, utilize the step of airborne laser radar and aviation digital image device image data to be: according to recommendation paths scheme or the Preliminary design route scheme that can grind after the examination, utilize 1,/10,000,1,/50,000 or other remote sensing satellite image with geo-location navigate fly the design and carry out the airborne laser radar data collection, specific as follows:
1. DEM and DOM accuracy Design, DEM and DOM achievement must reach 1/2000 scale accuracy requirement;
2. flying height design according to DEM and DOM product precision, determines that laser spots is spaced apart 2.5 meters, and image resolution is not more than 0.3 meter, determines flying height in view of the above, and is relevant with the performance of airborne laser radar equipment;
3. laying is no less than 2 ground GPS base stations in the online curb line scope, and guarantees that the distance of taking the photograph between the interior nearest base station, optional position, district is no more than 50KM, carries out the translocation of ground GPS base sites, obtains WGS84 coordinate and Beijing Geodetic Coordinate System 1954 coordinate;
4. according to just establishing route scheme and hypsography situation, rationally lay the course line, specific requirement comprises:
1) every course line rectilinear flight time is no more than 30 minutes;
2) width of each air strips is not less than 2km;
3) if air strips need several course lines to cover, must guarantee no absolute leak between the course line;
4) the boat scope of flying road starting point, the destination county 1km that vertically respectively stretches out along the line.
3, overhead power transmission line optimized line selection method according to claim 1 is characterized in that: it is specific as follows that airborne laser radar data is handled the process that generates digital elevation model dem data and digital orthophoto map DOM data:
1. laser point cloud data resolves, laser point cloud data is carried out filtering, classification after, utilize airborne POS data, surface based website gps measurement data and laser scanning data, by resolving to obtain the laser point cloud data under the selected coordinate system of user;
2. utilize airborne laser radar data process software such as TerraSolid software, this software system moves based on the MicroStation platform, comprise three modules of TerraScan, TerraModeler and TerraPhoto, carry out the generation of classification, origin coordinate system transform and the 1/2000 engineer's scale DEM and the DOM of laser point cloud data;
3. DEM and DOM deblocking, according to the positive northern piecemeal in due south, the branch block size is 3km * 3km with DEM and DOM data, each minute interblock be retained to few 10 meters overlapping.
4, overhead power transmission line optimized line selection method according to claim 1, it is characterized in that: plot fruit with reference to open-air the accent, in optimizing the route selection platform, utilize digital elevation model dem data and digital orthophoto map DOM geometric superposition to make up circuit corridor three-dimensional scenic, according to the line design standard, the process of carrying out the line optimization route selection is specific as follows:
1. DEM, DOM and laser point cloud data are imported the optimization route selection platform with function shown in figure two, to realize fast dispatch, management and to use to DEM, DOM and laser point cloud data;
2. image output is transferred and is drawn, and splices by the DOM with piecemeal, realizes the DOM splicing output of each air strips;
3. boat is transfered to other localities and is painted, along can grind recommendation paths or just establish the path to the path each side 300 meters scopes transfer and paint, accent is painted content and is comprised plan position approach and height and crossing angle etc., the plan position approach comprises that building, power line, order wire and underground cable, road, water system and industrial crops district and other influence the atural object of line route, and height and crossing angle are transferred and painted the crossing angle that comprises depth of building, scissors crossing point height, shaft tower height and I and II order wire and underground cable and circuit.
5, overhead power transmission line optimized line selection method according to claim 1 is characterized in that: carry out pre-tier pole according to the instant sectional drawing that extracts automatically, pre-tier pole is specific as follows by the process of back image output path profile:
1. in optimizing the route selection platform, realize its fast dispatch and management by Fast Compression, index to DEM, DOM data;
2. DEM and DOM are carried out geometric superposition, realize the structure of circuit corridor three-dimensional scenic, i.e. the three-dimensional modeling of circuit corridor landform;
3. the designer transfers to other localities with reference to boat and plots fruit, is optimized route selection in three-dimensional scenic;
6, overhead power transmission line optimized line selection method according to claim 1 is characterized in that: the process of carrying out the plane cross section data acquisition according to optimization route selection path achievement is specific as follows:
1. according to selected path,, from dem data, extract profile data automatically, comprise center line and sideline, the left and right sides according to per 5 meters sampling intervals;
2. the designer carries out pre-tier pole according to profile data, and pre-tier pole passes through, image output path profile and enter next step then, otherwise return step 4;
7, overhead power transmission line optimized line selection method according to claim 1 is characterized in that: the process of carrying out the plane cross section data acquisition according to optimization route selection path achievement is specific as follows:
1. according to optimizing route selection path achievement, carry out center line and sideline, left and right sides profile data extracts automatically, then in three-dimensional scenic, manually gather for windage yaw and dangerous spot;
2. utilize DOM to carrying out the quick collection of plane atural object for each 50m scope of central lines of track both sides, utilize laser point cloud data and dem data to extract automatically for the height of tree, Fang Gaoke, simultaneously, for some hidden atural objects or power line etc., then transfer to other localities to plot really and gather in conjunction with boat;
3. in the plane cross section, the plane engineer's scale is 1/5000, and the elevation engineer's scale is 1/500;
8, overhead power transmission line optimized line selection method according to claim 1 is characterized in that: the process of optimizing tier pole is specific as follows; The designer is optimized tier pole according to plane cross section data and design specification utilization optimization tier pole software.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2008100737258A CN101335431A (en) | 2008-07-27 | 2008-07-27 | Overhead power transmission line optimized line selection method based on airborne laser radar data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2008100737258A CN101335431A (en) | 2008-07-27 | 2008-07-27 | Overhead power transmission line optimized line selection method based on airborne laser radar data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN101335431A true CN101335431A (en) | 2008-12-31 |
Family
ID=40197820
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNA2008100737258A Pending CN101335431A (en) | 2008-07-27 | 2008-07-27 | Overhead power transmission line optimized line selection method based on airborne laser radar data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101335431A (en) |
Cited By (37)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102074047A (en) * | 2011-01-06 | 2011-05-25 | 天津市星际空间地理信息工程有限公司 | High-fineness urban three-dimensional modeling method |
| CN102184570A (en) * | 2011-04-28 | 2011-09-14 | 广东省电力设计研究院 | Three-dimensional optimization and line selection system, method and device for roaming establishment in stereoscopic scenes of three-dimensional optimization and line selection system |
| CN101702200B (en) * | 2009-11-03 | 2012-02-29 | 武汉大学 | Automatic classification method of airborne laser radar point cloud data |
| CN102645203A (en) * | 2012-05-18 | 2012-08-22 | 四川省科学城久利科技实业有限责任公司 | Power line crossover measurement method based on airborne laser radar data |
| CN102706323A (en) * | 2012-05-18 | 2012-10-03 | 四川省科学城久利科技实业有限责任公司 | Tower footing section extracting method based on airborne laser radar data |
| CN102955160A (en) * | 2011-08-19 | 2013-03-06 | 湖北省电力公司电力科学研究院 | Three-dimensional laser radar technology based transmission line tower parameter determination method |
| CN103238167A (en) * | 2010-11-30 | 2013-08-07 | 国际商业机器公司 | Hazard detection for asset management |
| CN103529455A (en) * | 2013-10-21 | 2014-01-22 | 中铁第四勘察设计院集团有限公司 | Three-dimensional investigation method for dangerous falling rock based on air-borne laser radar |
| CN103759713A (en) * | 2014-01-02 | 2014-04-30 | 中铁第四勘察设计院集团有限公司 | Panoramic-image-based dangerous falling rock surveying method |
| CN103791894A (en) * | 2014-02-18 | 2014-05-14 | 北京恒华伟业科技股份有限公司 | Tower positioning method and device for overhead power transmission line |
| CN103791886A (en) * | 2014-01-15 | 2014-05-14 | 江苏省电力设计院 | Google earth assisted short-distance transmission line plane section measurement method in plain regions |
| CN103996991A (en) * | 2014-06-13 | 2014-08-20 | 国家电网公司 | Line selecting method and system for electric transmission line |
| CN104091168A (en) * | 2014-07-18 | 2014-10-08 | 深圳供电局有限公司 | Power line automatic extraction and positioning method based on unmanned aerial vehicle image |
| GB2521157A (en) * | 2013-12-10 | 2015-06-17 | Network Mapping Uk Ltd | Infrastructure positioning |
| CN106778640A (en) * | 2016-12-23 | 2017-05-31 | 航天星图科技（北京）有限公司 | The generation method of vegetation cover model under a kind of three-dimensional visualization environment |
| CN107194827A (en) * | 2017-05-22 | 2017-09-22 | 上海华测导航技术股份有限公司 | A kind of electric power networks management method |
| CN107238844A (en) * | 2017-06-30 | 2017-10-10 | 贵州电网有限责任公司输电运行检修分公司 | Electric transmission line channel sectional drawing preparation method is carried out based on laser point cloud radar data |
| CN107480373A (en) * | 2017-08-11 | 2017-12-15 | 国家电网公司 | Transmission line of electricity selection method and system |
| CN107545601A (en) * | 2017-09-11 | 2018-01-05 | 福建省电力勘测设计院 | A kind of overhead transmission line height of tree section automatic generation method |
| CN107796304A (en) * | 2017-09-07 | 2018-03-13 | 中铁二院工程集团有限责任公司 | A kind of rail track of three-dimensional laser panorama is adjusted and paints method |
| CN108089185A (en) * | 2017-03-10 | 2018-05-29 | 南京沃杨机械科技有限公司 | The unmanned air navigation aid of agricultural machinery perceived based on farm environment |
| CN108107887A (en) * | 2017-03-10 | 2018-06-01 | 南京沃杨机械科技有限公司 | Farm machinery navigation farm environment cognitive method |
| CN108957473A (en) * | 2017-05-22 | 2018-12-07 | 上海华测导航技术股份有限公司 | A kind of electric power networks management system |
| CN109117988A (en) * | 2018-07-20 | 2019-01-01 | 北京正能空间信息技术有限公司 | A kind of three-dimensional line-selection method of full ken seamless three-dimensional scene |
| CN109163715A (en) * | 2018-10-31 | 2019-01-08 | 国网山东省电力公司济南供电公司 | A kind of electric power selective calling investigation method based on unmanned plane RTK technology |
| CN109238242A (en) * | 2017-07-10 | 2019-01-18 | 北京正能空间信息技术有限公司 | Transmission line of electricity path optimization route selection based on three-dimensional large scene |
| CN110148218A (en) * | 2017-11-02 | 2019-08-20 | 星际空间（天津）科技发展有限公司 | A kind of method of high-volume airborne lidar point cloud data global optimization |
| CN110570466A (en) * | 2019-09-09 | 2019-12-13 | 广州建通测绘地理信息技术股份有限公司 | Method and device for generating three-dimensional live-action point cloud model |
| CN111337932A (en) * | 2020-03-23 | 2020-06-26 | 广东电网有限责任公司广州供电局 | Power grid infrastructure construction checking method based on airborne laser radar system |
| CN111880228A (en) * | 2020-07-31 | 2020-11-03 | 国网重庆市电力公司电力科学研究院 | Transmission line selection method, system and device based on transient electromagnetic method |
| CN112164081A (en) * | 2020-09-30 | 2021-01-01 | 西南交通大学 | Method for extracting cross section contour of vehicle-mounted LiDAR point cloud railway |
| CN112235041A (en) * | 2020-12-18 | 2021-01-15 | 成都纵横大鹏无人机科技有限公司 | Real-time point cloud processing system and method and airborne data acquisition device and method |
| CN112270752A (en) * | 2020-10-29 | 2021-01-26 | 久瓴(上海)智能科技有限公司 | Agriculture and forestry work path generation method and device, computer equipment and storage medium |
| CN112394743A (en) * | 2020-10-12 | 2021-02-23 | 天津航天中为数据系统科技有限公司 | Method for detecting dangerous points of power tower inspection route |
| CN113052474A (en) * | 2021-03-31 | 2021-06-29 | 广东电网有限责任公司 | Cross crossing key part early warning method and system based on power grid |
| CN113109831A (en) * | 2021-03-26 | 2021-07-13 | 国家电网有限公司 | Data processing method for polling transmission line by using laser radar |
| CN115423968A (en) * | 2022-07-21 | 2022-12-02 | 北京洛斯达科技发展有限公司 | Power transmission channel optimization method based on point cloud data and live-action three-dimensional model |
-
2008
- 2008-07-27 CN CNA2008100737258A patent/CN101335431A/en active Pending
Cited By (58)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101702200B (en) * | 2009-11-03 | 2012-02-29 | 武汉大学 | Automatic classification method of airborne laser radar point cloud data |
| US9633258B2 (en) | 2010-11-30 | 2017-04-25 | International Business Machines Corporation | Hazard detection for asset management |
| CN103238167B (en) * | 2010-11-30 | 2016-08-10 | 国际商业机器公司 | The method and system of the position of the unsafe condition in detecting base structure |
| CN103238167A (en) * | 2010-11-30 | 2013-08-07 | 国际商业机器公司 | Hazard detection for asset management |
| CN102074047B (en) * | 2011-01-06 | 2012-08-08 | 天津市星际空间地理信息工程有限公司 | High-fineness urban three-dimensional modeling method |
| CN102074047A (en) * | 2011-01-06 | 2011-05-25 | 天津市星际空间地理信息工程有限公司 | High-fineness urban three-dimensional modeling method |
| CN102184570A (en) * | 2011-04-28 | 2011-09-14 | 广东省电力设计研究院 | Three-dimensional optimization and line selection system, method and device for roaming establishment in stereoscopic scenes of three-dimensional optimization and line selection system |
| CN102955160A (en) * | 2011-08-19 | 2013-03-06 | 湖北省电力公司电力科学研究院 | Three-dimensional laser radar technology based transmission line tower parameter determination method |
| CN102645203A (en) * | 2012-05-18 | 2012-08-22 | 四川省科学城久利科技实业有限责任公司 | Power line crossover measurement method based on airborne laser radar data |
| CN102706323B (en) * | 2012-05-18 | 2014-02-05 | 绵阳天眼激光科技有限公司 | Tower footing section extracting method based on airborne laser radar data |
| CN102645203B (en) * | 2012-05-18 | 2014-07-30 | 绵阳天眼激光科技有限公司 | Power line crossover measurement method based on airborne laser radar data |
| CN102706323A (en) * | 2012-05-18 | 2012-10-03 | 四川省科学城久利科技实业有限责任公司 | Tower footing section extracting method based on airborne laser radar data |
| CN103529455A (en) * | 2013-10-21 | 2014-01-22 | 中铁第四勘察设计院集团有限公司 | Three-dimensional investigation method for dangerous falling rock based on air-borne laser radar |
| CN103529455B (en) * | 2013-10-21 | 2015-11-04 | 中铁第四勘察设计院集团有限公司 | A kind of rockfall investigation method based on airborne laser radar three-dimensional |
| US10679154B2 (en) | 2013-12-10 | 2020-06-09 | Network Mapping Uk Limited | Infrastructure positioning |
| GB2521157B (en) * | 2013-12-10 | 2020-12-16 | Network Mapping Uk Ltd | Infrastructure positioning |
| GB2521157A (en) * | 2013-12-10 | 2015-06-17 | Network Mapping Uk Ltd | Infrastructure positioning |
| CN103759713B (en) * | 2014-01-02 | 2015-12-02 | 中铁第四勘察设计院集团有限公司 | A kind of rockfall investigation method based on full-view image |
| CN103759713A (en) * | 2014-01-02 | 2014-04-30 | 中铁第四勘察设计院集团有限公司 | Panoramic-image-based dangerous falling rock surveying method |
| CN103791886A (en) * | 2014-01-15 | 2014-05-14 | 江苏省电力设计院 | Google earth assisted short-distance transmission line plane section measurement method in plain regions |
| CN103791894A (en) * | 2014-02-18 | 2014-05-14 | 北京恒华伟业科技股份有限公司 | Tower positioning method and device for overhead power transmission line |
| CN103996991A (en) * | 2014-06-13 | 2014-08-20 | 国家电网公司 | Line selecting method and system for electric transmission line |
| CN104091168A (en) * | 2014-07-18 | 2014-10-08 | 深圳供电局有限公司 | Power line automatic extraction and positioning method based on unmanned aerial vehicle image |
| CN104091168B (en) * | 2014-07-18 | 2016-04-13 | 深圳供电局有限公司 | Power line automatic extraction and positioning method based on unmanned aerial vehicle image |
| CN106778640A (en) * | 2016-12-23 | 2017-05-31 | 航天星图科技（北京）有限公司 | The generation method of vegetation cover model under a kind of three-dimensional visualization environment |
| CN106778640B (en) * | 2016-12-23 | 2018-09-25 | 航天星图科技（北京）有限公司 | The generation method of vegetation cover model under a kind of three-dimensional visualization environment |
| CN108107887A (en) * | 2017-03-10 | 2018-06-01 | 南京沃杨机械科技有限公司 | Farm machinery navigation farm environment cognitive method |
| CN108089185A (en) * | 2017-03-10 | 2018-05-29 | 南京沃杨机械科技有限公司 | The unmanned air navigation aid of agricultural machinery perceived based on farm environment |
| CN108089185B (en) * | 2017-03-10 | 2020-09-29 | 南京沃杨机械科技有限公司 | Agricultural machinery unmanned navigation method based on farmland environment perception |
| CN108107887B (en) * | 2017-03-10 | 2020-09-29 | 南京沃杨机械科技有限公司 | Farmland environment sensing method for agricultural machinery navigation |
| CN107194827A (en) * | 2017-05-22 | 2017-09-22 | 上海华测导航技术股份有限公司 | A kind of electric power networks management method |
| CN108957473A (en) * | 2017-05-22 | 2018-12-07 | 上海华测导航技术股份有限公司 | A kind of electric power networks management system |
| CN107238844A (en) * | 2017-06-30 | 2017-10-10 | 贵州电网有限责任公司输电运行检修分公司 | Electric transmission line channel sectional drawing preparation method is carried out based on laser point cloud radar data |
| CN109238242A (en) * | 2017-07-10 | 2019-01-18 | 北京正能空间信息技术有限公司 | Transmission line of electricity path optimization route selection based on three-dimensional large scene |
| CN107480373A (en) * | 2017-08-11 | 2017-12-15 | 国家电网公司 | Transmission line of electricity selection method and system |
| CN107480373B (en) * | 2017-08-11 | 2020-11-06 | 国家电网公司 | Power transmission line selection method and system |
| CN107796304B (en) * | 2017-09-07 | 2019-12-03 | 中铁二院工程集团有限责任公司 | A kind of rail track tune of three-dimensional laser panorama draws method |
| CN107796304A (en) * | 2017-09-07 | 2018-03-13 | 中铁二院工程集团有限责任公司 | A kind of rail track of three-dimensional laser panorama is adjusted and paints method |
| CN107545601B (en) * | 2017-09-11 | 2020-05-29 | 中国电建集团福建省电力勘测设计院有限公司 | Automatic generation method for tree height section of overhead transmission line |
| CN107545601A (en) * | 2017-09-11 | 2018-01-05 | 福建省电力勘测设计院 | A kind of overhead transmission line height of tree section automatic generation method |
| CN110148218A (en) * | 2017-11-02 | 2019-08-20 | 星际空间（天津）科技发展有限公司 | A kind of method of high-volume airborne lidar point cloud data global optimization |
| CN109117988A (en) * | 2018-07-20 | 2019-01-01 | 北京正能空间信息技术有限公司 | A kind of three-dimensional line-selection method of full ken seamless three-dimensional scene |
| CN109163715B (en) * | 2018-10-31 | 2020-12-04 | 国网山东省电力公司济南供电公司 | Electric power station selection surveying method based on unmanned aerial vehicle RTK technology |
| CN109163715A (en) * | 2018-10-31 | 2019-01-08 | 国网山东省电力公司济南供电公司 | A kind of electric power selective calling investigation method based on unmanned plane RTK technology |
| CN110570466A (en) * | 2019-09-09 | 2019-12-13 | 广州建通测绘地理信息技术股份有限公司 | Method and device for generating three-dimensional live-action point cloud model |
| CN111337932A (en) * | 2020-03-23 | 2020-06-26 | 广东电网有限责任公司广州供电局 | Power grid infrastructure construction checking method based on airborne laser radar system |
| CN111880228A (en) * | 2020-07-31 | 2020-11-03 | 国网重庆市电力公司电力科学研究院 | Transmission line selection method, system and device based on transient electromagnetic method |
| CN111880228B (en) * | 2020-07-31 | 2023-08-25 | 国网重庆市电力公司电力科学研究院 | Power transmission line selection method, system and device based on transient electromagnetic method |
| CN112164081A (en) * | 2020-09-30 | 2021-01-01 | 西南交通大学 | Method for extracting cross section contour of vehicle-mounted LiDAR point cloud railway |
| CN112164081B (en) * | 2020-09-30 | 2023-04-21 | 西南交通大学 | Vehicle-mounted LiDAR point cloud railway cross section contour extraction method |
| CN112394743A (en) * | 2020-10-12 | 2021-02-23 | 天津航天中为数据系统科技有限公司 | Method for detecting dangerous points of power tower inspection route |
| CN112394743B (en) * | 2020-10-12 | 2021-12-10 | 天津航天中为数据系统科技有限公司 | Method for detecting dangerous points of power tower inspection route |
| CN112270752A (en) * | 2020-10-29 | 2021-01-26 | 久瓴(上海)智能科技有限公司 | Agriculture and forestry work path generation method and device, computer equipment and storage medium |
| CN112235041A (en) * | 2020-12-18 | 2021-01-15 | 成都纵横大鹏无人机科技有限公司 | Real-time point cloud processing system and method and airborne data acquisition device and method |
| CN113109831A (en) * | 2021-03-26 | 2021-07-13 | 国家电网有限公司 | Data processing method for polling transmission line by using laser radar |
| CN113052474A (en) * | 2021-03-31 | 2021-06-29 | 广东电网有限责任公司 | Cross crossing key part early warning method and system based on power grid |
| CN115423968A (en) * | 2022-07-21 | 2022-12-02 | 北京洛斯达科技发展有限公司 | Power transmission channel optimization method based on point cloud data and live-action three-dimensional model |
| CN115423968B (en) * | 2022-07-21 | 2023-05-09 | 北京洛斯达科技发展有限公司 | Power transmission channel optimization method based on point cloud data and live-action three-dimensional model |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101335431A (en) | Overhead power transmission line optimized line selection method based on airborne laser radar data | |
| CN110503080B (en) | Investigation method based on unmanned aerial vehicle oblique photography auxiliary sewage draining exit | |
| CN110132238B (en) | Unmanned aerial vehicle surveying and mapping method for terrain image digital elevation model | |
| CN113806897B (en) | Power engineering construction decision optimization method based on three-dimensional GIS technology | |
| CN102645203B (en) | Power line crossover measurement method based on airborne laser radar data | |
| CN102662179A (en) | Three-dimensional optimizing route selection method based on airborne laser radar | |
| Tao | Mobile mapping technology for road network data acquisition | |
| CN114353876A (en) | Loess highway slope health monitoring method | |
| CN109143257A (en) | Unmanned aerial vehicle onboard radar mining land change monitors system and method | |
| CN110132239B (en) | Unmanned aerial vehicle surveying and mapping method based on CORS platform | |
| CN113514041B (en) | Engineering construction project multi-measurement-in-one data acquisition and library building method | |
| Aicardi et al. | Integration between TLS and UAV photogrammetry techniques for forestry applications | |
| CN104933223B (en) | A kind of electric transmission line channel digital mapping method | |
| Lv et al. | Research on the technology of LIDAR data processing | |
| CN109238242A (en) | Transmission line of electricity path optimization route selection based on three-dimensional large scene | |
| CN113899360B (en) | Generation and precision evaluation method and device for port automatic driving high-precision map | |
| He et al. | Research and application of lidar technology in cadastral surveying and mapping | |
| Gu et al. | Surveying and mapping of large-scale 3D digital topographic map based on oblique photography technology | |
| CN108692710B (en) | A kind of highway ancestral land measurement method and system | |
| Harrap et al. | An overview of LIDAR: collection to application | |
| Ren et al. | Application of airborne lidar technology in transmission line survey | |
| Chetverikov et al. | ERROR ESTIMATION OF DEM OF ORTHOTRANSFORMATION OF AERIAL IMAGES OBTAINED FROM UAVS ON THE MOUNTAINOUS LOCAL SITE IN THE VILLAGE SHIDNYTSYA | |
| Kim | A study on the monitoring method of landslide damage area using UAV | |
| Mohamad et al. | Derivation of high-resolution orthophoto map from multirotor drone survey for application in infrastructure management | |
| Yang et al. | Application of Lidar Technology in Power Engineering Surveying and Mapping |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Open date: 20081231 |