NL2032790A - Wind turbine tower drum curvature detection method based on static 3d laser scanning - Google Patents

Wind turbine tower drum curvature detection method based on static 3d laser scanning Download PDF

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NL2032790A
NL2032790A NL2032790A NL2032790A NL2032790A NL 2032790 A NL2032790 A NL 2032790A NL 2032790 A NL2032790 A NL 2032790A NL 2032790 A NL2032790 A NL 2032790A NL 2032790 A NL2032790 A NL 2032790A
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Prior art keywords
tower drum
drum
curvature
wind turbine
tower
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NL2032790A
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Dutch (nl)
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NL2032790B1 (en
Inventor
Cao Junheng
Lv Zhongliang
Zhao Yue
Lv Baoxiong
Zhao Yanling
Zhao Zhixiang
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Powerchina Northwest Eng Corp Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/16Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D17/00Monitoring or testing of wind motors, e.g. diagnostics
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/24Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M5/00Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings
    • G01M5/0025Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings of elongated objects, e.g. pipes, masts, towers or railways
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M5/00Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings
    • G01M5/0091Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings by using electromagnetic excitation or detection
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05BINDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2240/00Components
    • F05B2240/90Mounting on supporting structures or systems
    • F05B2240/91Mounting on supporting structures or systems on a stationary structure
    • F05B2240/912Mounting on supporting structures or systems on a stationary structure on a tower
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05BINDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2270/00Control
    • F05B2270/80Devices generating input signals, e.g. transducers, sensors, cameras or strain gauges
    • F05B2270/804Optical devices
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/24Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
    • G01B11/25Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures by projecting a pattern, e.g. one or more lines, moiré fringes on the object

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Sustainable Development (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Electromagnetism (AREA)
  • Sustainable Energy (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

The present invention relates to a wind turbine tower drum curvature detection method based on static 3D laser scanning, including the following steps: 1) symmetrically 5 fixing in a fixed position instruments around a tower drum as a center, and acquiring point cloud data of the tower drum body; 2) constructing a TIN model of the barrel body, selecting tower drum sections, and fitting a central axis of the tower drum, 3) selecting n points at random or at fixed intervals in anticlockwise (or clockwise) direction on edge perimeters of the sections, and reducing center-of—gravity 10 coordinates of the tower drum sections, and 4) calculating a bending displacement component, a bending displacement resultant and a bending average curvature of the tower drum according to the adjacent sections through the obtained center-of—gravity coordinates of the tower drum sections. The method can rapidly and accurately realize the detection of wind turbine tower drum curvature. 15

Description

WIND TURBINE TOWER DRUM CURVATURE DETECTION METHOD BASED ON STATIC 3D LASER SCANNING
TECHNICAL FIELD
[01] The present invention belongs to the technical field of building deformation measurement, and particularly relates to a wind turbine tower drum curvature detection method based on static 3D laser scanning.
BACKGROUND ART
[02] Building deformation measurement is the monitoring work on horizontal displacement, settlement, inclination, deflection, cracking, etc. of a building and its foundation. Wind turbine tower drums are tall cylindrical buildings with a high height (more than 60 m) and a relatively small cross section. The wind turbine tower drums suffer from external force loads, such as self gravity, natural wind and earthquake, to and fro during long-term operation. This may cause tower drum inclination, bending, distortion or other deformation, and tends to cause tower drum dump or collapse.
[03] With the new surveying and mapping technology becoming mature, new monitoring methods have made great progress. However, the detection method for wind turbine tower drums still adopts the total station or theodolite. The common traditional operation methods make field operation difficult and measurement precision difficult to control due to the inability to arrange target points (prisms) of wind turbine tower drums. The operation mode is time-consuming and laborious, the accuracy of target data is poor, and the data limitations are large.
SUMMARY
[04] The present invention is intended to solve the problems of difficult field operation, difficult control of precision, time and labor consuming, poor accuracy of target data and large data limitations in the traditional detection of wind turbine tower drum curvature.
[05] In view of this, the present invention provides a wind turbine tower drum curvature detection method based on static 3D laser scanning, including the following steps:
[06] step 1) acquisition of point cloud data: erecting 3D laser scanners in fixed positions on the ground, and acquiring point cloud data of a tower drum body;
[07] step 2) construction of a TIN model: preprocessing the point cloud data obtained in step 1), and constructing a TIN model of the tower drum body;
[08] step 3) selection of tower drum sections: determining top and bottom edge sections of the tower drum in the TIN model obtained in step 2), and then determining m horizontal contour sections of the tower drum body according to a contour spacing;
[09] step 4) fitting of a central axis of the tower drum: determining and reducing a center-of-gravity position and coordinates of each tower drum section on each tower drum section in step 3) respectively, and connecting the center-of-gravity coordinate positions of adjacent tower drum sections successively to form a central axis of the tower drum; and
[10] step 5) calculation of curvature: calculating curvature of the tower drum through the central axis and the center-of-gravity coordinates of the tower drum obtained in step 4).
[11] The step 1) satisfies the following requirements:
[12] a) the fixed position points for erecting the 3D laser scanner should be symmetrical around the tower drum, the number of the fixed positions is no less than 4, each point is no less than 3/2 of a tower drum height horizontally from the tower drum, and the 3D laser scanners should be capable of completely scanning the whole tower drum body and height;
[13] b) the first erection direction determined by a compass points to the north or a certain azimuth, and the initial azimuth of the scanners in the subsequent repeated erection should be consistent with the first azimuth;
[14] cc) a central leveling device must be used each time the scanners are erected in tixed positions, and it is ensured that the scanner is in a horizontal position; and
[15] d) rapid panoramic coarse scanning is performed first, and then the target tower drum is fine scanned.
[16] The two tower drum sections selected in step 3) are upper and lower sections of a segment of the tower drum to be measured for curvature, and the horizontal contour section of the tower drum between the selected upper and lower sections of the tower drum is a horizontal contour section determined by any contour spacing in the middle.
[17] The two tower drum sections selected in step 3) are top and bottom sections of the tower drum, and the horizontal contour section of the tower drum in the middle of the two selected horizontal contour sections of the tower drum is a horizontal contour section determined by any contour spacing of the tower drum.
[18] In step 5), a bending displacement resultant is calculated according to the following method: [191 d= ZET Cio X6410)7 + Gio — Varo)?
[20] where i =1, 2, 3,..m, d is a bending displacement resultant between the bottom and top sections of the tower drum, and the center-of-gravity coordinates of the adjacent sections are Gio(Xio, Yio, Zio) and Gis 130 (Fis 1y0- F+1)0> Z(+1)0)-
[21] In step 5), a bending average curvature is calculated according to the following method: =| Ken Veen | _ Zizi (Zei+10 Zio ) pj I= Or
[23] where í=1, 2, 3,...m, I is bending average curvature between the bottom and top sections of the tower drum, and the center-of-gravity coordinates of the adjacent sections are Gio(Xio, Yio, Zio) and G(+10 (210, Vi+10, Zi+10):
[24] Beneficial effects of the present invention: The wind turbine tower drum curvature detection method based on static 3D laser scanning provided herein can rapidly acquire high-density 3D point cloud data on the wind turbine tower drum surface at one time by means of 3D laser scanner. The point cloud data are easy to acquire, high-precision and fast. One-time acquisition and multiple usages of the point cloud data are realized. The point cloud data of sections at any height of the tower drum can be extracted, and the geometric centers of the sections of the wind turbine tower drum changing with the height can be calculated, so as to achieve the purpose of detecting the tower drum curvature.
BRIEF DESCRIPTION OF THE DRAWINGS
[25] The present invention will be further described below in detail in combination with accompanying drawings.
[26] FIG. 1 is a bending diagram of a wind turbine tower drum in an embodiment of the present invention.
[27] FIG. 2 is an erection diagram of a 3D laser scanner in an embodiment of the present invention.
[28] FIG. 3 is a schematic diagram of tower drum sections and central axes determined in an embodiment of the present invention.
[29] FIG. 4 is a top view of the tower drum curvature calculation in an embodiment of the present invention.
[30] FIG. 5 1s a side view of the tower drum curvature calculation in an embodiment of the present invention.
DETAILED DESCRIPTION OF THE EMBODIMENTS
[31] The present invention provides a wind turbine tower drum curvature detection method based on static 3D laser scanning, in order to solve the problems of difficult field operation, difficult control of precision, time and labor consuming, poor accuracy of target data and large data limitations in the traditional detection of wind turbine tower drum curvature.
[32] The 3D laser scanning described herein refers to that by means of a ground static 3D laser scanner, the high-density 3D point cloud data of a target body surface can be obtained by actively emitting laser without contact, and the digital informatization can be realized rapidly for the target body.
[33] Example 1:
[34] The example provides a wind turbine tower drum curvature detection method 5 based on static 3D laser scanning. In combination with FIG. 1 and FIG. 2, the method includes the following steps:
[35] 1) acquisition of point cloud data: erecting 3D laser scanners in fixed positions on the ground, and acquiring point cloud data of a tower drum body;
[36] 2) construction of a TIN model: preprocessing the point cloud data obtained in step 1), and constructing a TIN model of the tower drum body;
[37] 3) selection of tower drum sections: determining top and bottom edge sections of the tower drum in the TIN model obtained in step 2), and then determining m horizontal contour sections of the tower drum body according to a contour spacing;
[38] 4) fitting of a central axis of the tower drum: determining and reducing a center-of-gravity position and coordinates of each tower drum section on each tower drum section in step 3) respectively, and connecting the center-of-gravity coordinate positions of adjacent tower drum sections successively to form a central axis of the tower drum; and
[39] 5) calculation of curvature: calculating the curvature of the tower drum through the central axis and the center-of-gravity coordinates of the tower drum obtained in step 4).
[40] By the above-mentioned method steps, the tower drum curvature can be calculated, including whole and local bending and distortion deformation. The method can rapidly and accurately realize the detection of wind turbine tower drum curvature. It is of important practical significance to similar engineering detection and monitoring.
[41] Example 2:
[42] On the basis of example 1, specifically, the step 1) satisfies the following requirements:
[43] a) the fixed position points for erecting the 3D laser scanner should be symmetrical around the tower drum, the number of the fixed positions is no less than 4, each point is no less than 3/2 of a tower drum height horizontally from the tower drum, and the 3D laser scanners should be capable of completely scanning the whole tower drum body and height;
[44] Db) the first erection direction determined by a compass points to the north or a certain azimuth, and the initial azimuth of the scanners in the subsequent repeated erection should be consistent with the first azimuth;
[45] c¢) a central leveling device must be used each time the scanners are erected in fixed positions, and it is ensured that the scanner is in a horizontal position; and
[46] d) rapid panoramic coarse scanning is performed first, and then the target tower drum is fine scanned.
[47] Example 3:
[48] In the above-mentioned two examples, the two tower drum sections selected in step 3) are upper and lower sections of a segment of the tower drum to be measured for curvature. The horizontal contour sections are selected according to the segment of the tower drum to be measured, and should be the upper and lower sections of the segment of the tower drum to be measured.
[49] If the segment of the tower drum to be measured is the whole tower drum, then the two tower drum sections selected in step 3) are top and bottom sections of the tower drum. The curvature of the whole tower drum can be calculated through the central axis between the top and bottom sections and the data.
[50] Example 4:
[51] In step 5), a bending displacement resultant is calculated according to the following method:
[52] d= Gio 7 Xero)? + Gio — Varo)?
[53] where i =1, 2, 3,...m, d is a bending displacement resultant between the bottom and top sections of the tower drum, and the center-of-gravity coordinates of the adjacent sections are Gio (io, Jo, Zio) and Go (+130, Fiv1)0, Zit 1)0):
[54] In step 5), bending average curvature is calculated according to the following method: zE Gn Vane]. 7 | _ (Zri+007Zio ) 5s fe
[56] where i = 1,2, 3,...m, I is a bending average curvature between the bottom and top sections of the tower drum, and the center-of-gravity coordinates of the adjacent sections are Gyo (io. Vio. Zio) and Civ 130 (Eis 130, T4105 Z+1)0)- [S7] Specifically, a calculation process of the curvature is as follows:
[58] Step 1) acquisition of point cloud data: [S9] a) the fixed position points for erecting the 3D laser scanner should be symmetrical around the tower drum (as shown in FIG. 2), the number of the fixed positions is no less than 4, each point is no less than 3/2 of a tower drum height horizontally from the tower drum, and the 3D laser scanners should be capable of completely scanning the whole tower drum body and height;
[60] Db) the first erection direction determined by a compass points to the north or a certain azimuth, and the initial azimuth of the scanners in the subsequent repeated erection should be consistent with the first azimuth;
[61] c¢) a central leveling device must be used to fix the scanners to the firstly selected point every time the scanners are erected, and it must be ensured that the scanners are in a horizontal position; and
[62] d) no target is required for scanning; rapid panoramic coarse scanning is performed first, and then the target tower drum is fine scanned to acquire the point cloud data of the tower drum body at one time.
[63] Step 2) selection of tower drum sections:
[64] The point cloud data are preprocessed, a TIN model of the tower drum body is constructed, upper and lower centers of gravity of the tower drum are fitted according to the point cloud of the top and bottom edge sections of the tower drum, m horizontal contour sections of the tower drum body are selected according to a contour spacing, a center-of-gravity position and coordinates of each tower drum section are determined and reduced, and the center-of-gravity coordinate positions of adjacent tower drum sections are connected successively to form a central axis of the tower drum, as shown in FIG. 3;
[65] Step 3) reduction of the center-of-gravity coordinates of the tower drum sections:
[66] n points are selected at random or at fixed intervals in an anticlockwise (or clockwise) direction on the edge perimeter of the determined i" section, namely, AiAaz. Ay, points A;(%;, ;, Z;), the center-of-gravity coordinates of the section are Giol&io, Vio» Zio), Zio = 2; on the horizontal section, then: fi = Zi sf ypatdivy LT ih xj Sj Fu TITEL XjFjeaVXaYa¥n { Eee Sne) |
[67] 2p Xfi mya djs Xie joan)
[68] where i= 1, 2 3,...m,j = 1, 2, 3,...n,n > 3, the more the section edge points selected, the closer the center-of-gravity position.
[69] Step 4) calculation of curvature: As shown in FIG. 4 and FIG. 5, a bending displacement component, a bending displacement resultant and a bending average curvature of the tower drum are calculated according to the adjacent sections through the obtained center-of-gravity coordinates of the tower drum sections; or local curvature of the tower drum is calculated through the obtained bottom and top center-of-gravity coordinates of the circular tower drum and center-of-gravity coordinates of any position.
[70] As shown in FIG. 4, after the center-of-gravity coordinates Gio(X;9, Vio. Zio) and Gino G+00 Vi+10, Zi+1)0) of the adjacent sections are obtained, the bending displacement resultant d between the bottom and top sections of the tower drum can be obtained by calculating the bending displacement component d;;+1 between the adjacent sections projected to the xoy plane.
[71] Bending displacement component: di j41 = V Zio — X10)? + Tio — VG+00)?
[72] Bending displacement resultant: d= YET Eo > Faso)? + Gio — Vso)?
[73] (=1,23,.m)
[74] As shown in FIG. 5(c), a bending deformation occurs, that is, the slope I; is through the tangent line between the center of gravity of each section and the central axis of the tower drum on the yoz plane, and then the bending average curvature [ between the bottom and top sections of the tower drum is obtained. As the spacing between the adjacent sections is small, arcs between the sections can be ignored and recorded as straight lines, then: _ _ diit [US] Di = Zgano-Zio hit1= has _ = (Zie Zio)
TTT
[77] In the case of distortion deformation, two cases can be considered: one is direct distortion, without bending; the other is that both bending and distortion occur simultaneously.
[78] Based on the bottom, from bottom to top, the slope I; through the tangent line between the center of gravity of each section and the central axis of the tower drum becomes smaller successively, indicating that bending occurs, as shown in FIG. 5(a); I; becomes smaller and then bigger, indicating that both bending and distortion occur, as shown in FIG. 5(b); the distortion center is the maximum point where the center of gravity of the section and the standard axis are away from L, as shown in FIG. 5(d).
[79] The above-mentioned examples only illustrate the present invention and do not limit the protection scope of the present invention. All designs identical with or similar to the present invention should fall into the protection scope of the present invention.

Claims (6)

-10- Conclusies-10- Conclusions 1. Windturbinetorentrommel-krommingsdetectiewerkwijze op basis van statische 3D- laserscanning, die de volgende stappen omvat: stap 1) verwerving van puntenwolkdata: het opstellen van 3D-laserscanners op vaste posities op de grond, en verwerving van puntenwolkdata van een torentrommellichaam; stap 2) constructie van een TIN-model: het voorbewerken van de in stap 1) verkregen puntenwolkdata, en het construeren van een TIN-model van het torentrommellichaam; stap 3) selectie van torentrommelgedeelten: het bepalen van boven- en onderrandgedeelten van de torentrommel in het in stap 2) verkregen TIN-model, en vervolgens bepalen van m horizontale contourgedeelten van het torentrommellichaam aan de hand van een contourafstand; stap 4) passen van een centrale as van de torentrommel: het bepalen en verminderen van respectievelijk een zwaartepuntspositie en coördinaten van elk torentrommelgedeelte in stap 3), en verbinden van de zwaartepuntcoördinaatposities van aangrenzende torentrommelgedeelten achtereenvolgens om een centrale as van de torentrommel te vormen; en stap 5) berekening van de kromming: het berekenen van de kromming van de torentrommel via de centrale as en de in stap 4) verkregen coördinaten van het sectiezwaartepunt van de torentrommel.A wind turbine tower drum curvature detection method based on static 3D laser scanning, comprising the following steps: step 1) acquisition of point cloud data: positioning 3D laser scanners at fixed positions on the ground, and acquisition of point cloud data of a tower drum body; step 2) construction of a TIN model: preprocessing the point cloud data obtained in step 1), and constructing a TIN model of the turret drum body; step 3) selection of turret drum portions: determining upper and lower edge portions of the turret drum in the TIN model obtained in step 2), and then determining m horizontal contour portions of the turret drum body from a contour distance; step 4) fitting a center axis of the turret drum: determining and decreasing respectively a center of gravity position and coordinates of each tower drum portion in step 3), and connecting the center of gravity coordinate positions of adjacent tower drum portions sequentially to form a center axis of the tower drum; and step 5) computation of curvature: calculating the curvature of the turret drum through the central axis and the coordinates of the section center of gravity of the turret drum obtained in step 4). 2. Windturbinetorentrommel-krommingsdetectiewerkwijze op basis van statische 3D-laserscanning volgens conclusie 1, waarbij de stap 1) aan de volgende vereisten voldoet: a) de vaste positiepunten voor het opstellen van de 3D-laserscanner moeten symmetrisch rond de torentrommel zijn, het aantal vaste posities is niet minder dan 4, elk punt niet minder is dan 3/2 van een torentrommelhoogte horizontaal van de torentrommel, en de 3D-laserscanners moeten in staat zijn om het hele torentrommellichaam en de hoogte volledig te scannen; b) de eerste opstelrichting die door een kompas bepaald wordt, wijst naar het noorden of een bepaald azimut, en het aanvankelijke azimut van de scanners bij deThe wind turbine tower drum curvature detection method based on static 3D laser scanning according to claim 1, wherein the step 1) meets the following requirements: a) the fixed position points for setting up the 3D laser scanner should be symmetrical about the tower drum, the number of fixed positions is not less than 4, each point is not less than 3/2 of a tower drum height horizontally of the tower drum, and the 3D laser scanners must be able to fully scan the entire tower drum body and height; b) the first set-up direction determined by a compass points to north or a certain azimuth, and the initial azimuth of the scanners at the “11 - daaropvolgende herhaalde opstelling moet overeenstemmen met het eerste azimut; c) telkens wanneer de scanners in vaste posities opgesteld worden, moet een centrale waterpas gebruikt worden, en er wordt voor gezorgd dat de scanner zich in een horizontale positie bevindt; en d) het snelle panoramische grove scannen wordt eerst uitgevoerd, en vervolgens wordt de doeltorentrommel gedetailleerd gescand.“11 - subsequent repeated arrangement must match the first azimuth; c) whenever the scanners are set up in fixed positions, a central spirit level must be used and it is ensured that the scanner is in a horizontal position; and d) the fast panoramic coarse scanning is performed first, and then the target tower drum is scanned in detail. 3. Windturbinetorentrommel-krommingsdetectiewerkwijze op basis van statische 3D-laserscanning volgens conclusie 1, waarbij de twee in stap 3) geselecteerde torentrommelgedeelten bovenste en onderste gedeelten zijn van een segment van de torentrommel dat op kromming gemeten wordt, en het horizontale contourgedeelte van de torentrommel tussen de geselecteerde bovenste en onderste gedeelten van de torentrommel een horizontaal contourgedeelte is dat door een willekeurige contourafstand in het midden bepaald wordt.The wind turbine tower drum curvature detection method based on static 3D laser scanning according to claim 1, wherein the two tower drum portions selected in step 3) are upper and lower portions of a segment of the tower drum measured for curvature, and the horizontal contour portion of the tower drum between the selected upper and lower portions of the turret drum is a horizontal contour portion defined by an arbitrary contour spacing in the center. 4. Windturbinetorentrommel-krommingsdetectiewerkwijze op basis van statische 3D-laserscanning volgens conclusie 3, waarbij de twee in stap 3) geselecteerde torentrommelgedeelten bovenste en onderste gedeelten van de torentrommel zijn, en het horizontale contourgedeelte van de torentrommel in het midden van de twee geselecteerde horizontale contourgedeelten van de torentrommel een horizontaal contourgedeelte is dat bepaald wordt door een willekeurige contourafstand van de torentrommel.The wind turbine tower drum curvature detection method based on static 3D laser scanning according to claim 3, wherein the two tower drum portions selected in step 3) are upper and lower portions of the tower drum, and the horizontal contour portion of the tower drum is in the middle of the two selected horizontal contour portions of the turret drum is a horizontal contour portion determined by an arbitrary contour distance from the turret drum. 5. Windturbinetorentrommel-krommingsdetectiewerkwijze op basis van statische 3D-laserscanning volgens conclusie 1, waarbij in stap 5) een buigverplaatsingsresultante berekend wordt volgens de volgende werkwijze: m-1 d= > (Zio = E410)? + (Pio = F(i+10) waarbij { = 1,2 3,...m, d een buigverplaatsingsresultante tussen het onderste en bovenste gedeelte van de torentrommel is, en de zwaartepuntcoördinaten van de aangrenzende gedeelten Go (Xo, Vio, Zio) en G(i+130 (Xi+1)0> Ya+1)0> Zi+1)0) Zijn.The wind turbine tower drum warp detection method based on static 3D laser scanning according to claim 1, wherein in step 5) a bending displacement resultant is calculated according to the following method: m-1 d= > (Z 10 = E410)? + (Pio = F(i+10) where { = 1,2 3,...m, d is a bending displacement resultant between the lower and upper parts of the turret drum, and the centroid coordinates of the adjacent parts Go (Xo, Vio, Zio) and G(i+130 (Xi+1)0> Ya+1)0> Zi+1)0) Are. 6. Windturbinetorentrommel-krommingsdetectiewerkwijze op basis van statische6. Wind turbine tower drum static based curvature detection method S12 - 3D-laserscanning volgens conclusie 1, waarbij in stap 5), een gemiddelde buigingskromming berekend wordt volgens de volgende werkwijze: st \ (Xio - (+10)? + Gio - Vero} | _ a= (Zi+1y0 — Zio) [ = EM m-—1 waarbij i = 1, 2, 3,..m, I een gemiddelde buigingskromming tussen het onderste en bovenste gedeelte van de torentrommel is, en de zwaartepuntcoördinaten van de aangrenzende gedeelten G;o(%;0, Vio, Zio) en Gir1y0(F(i+1)0- Vi+1)0- Zi+100) Zijn.S12 - 3D laser scanning according to claim 1, wherein in step 5), an average bending curvature is calculated according to the following method: st \ (Xio - (+10)? + Gio - Vero} | _ a= (Zi+1y0 — Zio ) [ = EM m--1 where i = 1, 2, 3,..m, I is an average bending curvature between the lower and upper part of the turret drum, and the centroid coordinates of the adjacent parts G;o(%;0 , Vio, Zio) and Gir1y0(F(i+1)0- Vi+1)0- Zi+100) Are.
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CN107388992A (en) * 2017-07-26 2017-11-24 中国电建集团西北勘测设计研究院有限公司 A kind of towering tower measuring for verticality method based on 3 D laser scanning
CN107490345A (en) * 2017-07-26 2017-12-19 中国电建集团西北勘测设计研究院有限公司 A kind of towering tower flexibility detection method based on 3 D laser scanning
CN113124782A (en) * 2021-04-14 2021-07-16 重庆市勘测院 Construction perpendicularity detection method based on point cloud tolerance self-adaption

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107388992A (en) * 2017-07-26 2017-11-24 中国电建集团西北勘测设计研究院有限公司 A kind of towering tower measuring for verticality method based on 3 D laser scanning
CN107490345A (en) * 2017-07-26 2017-12-19 中国电建集团西北勘测设计研究院有限公司 A kind of towering tower flexibility detection method based on 3 D laser scanning
CN113124782A (en) * 2021-04-14 2021-07-16 重庆市勘测院 Construction perpendicularity detection method based on point cloud tolerance self-adaption

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