CN111102926A - Engineering quality detection method and system based on BIM - Google Patents
Engineering quality detection method and system based on BIM Download PDFInfo
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- 238000010835 comparative analysis Methods 0.000 claims description 7
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical means
- G01B11/002—Measuring arrangements characterised by the use of optical means for measuring two or more coordinates
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/10—Constructive solid geometry [CSG] using solid primitives, e.g. cylinders, cubes
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- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10028—Range image; Depth image; 3D point clouds
Abstract
The invention discloses a BIM-based engineering quality detection method and system, wherein the method comprises the following steps: acquiring spatial position three-dimensional point data of the surface of a scanned object to form a scanned three-dimensional entity point cloud; carrying out data processing on the point cloud to obtain the complete space geometric dimension of the scanned object, and reversely generating a three-dimensional point cloud model; comparing and analyzing the three-dimensional point cloud model and a pre-generated BIM model to obtain a quality detection report; the beneficial effects are as follows: the point cloud data of the scanned object is obtained, a three-dimensional point cloud model is generated reversely, and the three-dimensional point cloud model and a BIM (building information modeling) model of engineering design are compared and analyzed, so that the deviation between an entity and the design can be compared, the construction quality evaluation is accurate, rapid, objective and comprehensive, the reason of the deviation can be found out through a derived electronic report, the correction in subsequent construction is facilitated, and the guarantee is provided for the field construction quality.
Description
Technical Field
The invention relates to the technical field of engineering detection, in particular to a BIM-based engineering quality detection method and system.
Background
In the process of building construction, the construction quality management and control are very important. The BIM technology is based on various relevant information data of a construction engineering project, simulates real information of a building through digital information simulation, and realizes functions of project supervision, property management, equipment management, digital processing, engineering management and the like through a three-dimensional building model.
However, in the prior art, most of the BIM techniques are stopped on independent application, and are not combined with quality detection, general engineering detection is performed by manually operating equipment, and after manual recording, the quality detection is performed with standard data item by item, which is time-consuming and labor-consuming, and meanwhile, detection errors and subjective factors are inevitable in the detection process, so that the construction quality evaluation is inaccurate, and scientific and reasonable construction suggestions can not be provided for the subsequent construction process.
Disclosure of Invention
The invention aims to: the engineering quality detection method and system based on the BIM are provided to overcome the defects of inaccurate construction quality evaluation and subjective factors in the prior art.
In a first aspect: a BIM-based engineering quality detection method, the method comprising:
acquiring spatial position three-dimensional point data of the surface of a scanned object to form a scanned three-dimensional entity point cloud, wherein the spatial position three-dimensional point data is obtained by identifying through a measuring device;
carrying out data processing on the point cloud to obtain the complete space geometric dimension of the scanned object, and reversely generating a three-dimensional point cloud model;
and comparing and analyzing the three-dimensional point cloud model and a pre-generated BIM model to obtain a quality detection report.
As an optional implementation manner of the present application, the method further includes:
before scanning, dividing a scanning area, and selecting a scanning station setting position;
and then arranging the scanning targets and the control targets according to the station setting positions, wherein the arrangement conditions of the scanning targets and the control targets are that at least three non-coplanar common points are arranged at two adjacent stations.
As an alternative embodiment of the present application, the measuring device comprises a total station and a three-dimensional laser scanner.
As an optional embodiment of the present application, when the total station is deployed, only one total station is erected on each visibility section, and the total station is erected on a fixed reference coordinate point set during construction;
when the three-dimensional laser scanner is arranged, if a single station is scanned to cover the building single body, the registration process of the three-dimensional laser scanner is cancelled;
and for the building entities which cannot be covered by single-station scanning or the comparative analysis, carrying out registration splicing according to target points arranged on site, and then carrying out detection.
As an optional implementation manner of the present application, the comparing and analyzing the three-dimensional point cloud model and the pre-generated BIM model specifically includes:
establishing the three-dimensional point cloud model and the BIM model in the same unified coordinate system;
establishing a unified control network in the scanning area, scanning each area by using the three-dimensional laser scanner, and actually measuring the coordinates of a control target by using the total station to obtain first coordinates of the control target in the unified coordinate system;
extracting a second coordinate of the control target under the current three-dimensional laser scanner coordinate system;
by utilizing the two sets of coordinates of the control target, the three-dimensional laser scanner coordinates and the total station transformation parameters of each area can be obtained;
and converting the scanning data of each station into a total station coordinate system by using the transformation parameters of each area to obtain point cloud data under a unified control network and the coordinate system, thereby directly finishing the registration of multi-station point clouds, further comparing the deviation of the three-dimensional point cloud model and the BIM model, and generating an electronic document capable of being exported.
As an optional implementation manner of the present application, a point in the point cloud data exceeding the preset value of the station distance is defined as a noise point, and the noise point is cut and deleted.
As an optional embodiment of the present application, the three-dimensional laser scanner comprises the following steps before scanning:
when the wall is scanned on a single surface, the erection distance of the three-dimensional laser scanner and the wall body does not exceed a set threshold value, and the maximum horizontal included angle between the three-dimensional laser scanner and the wall surface ranges from 45 degrees to 135 degrees;
when the ceiling is scanned, the erection distance of the three-dimensional laser scanner and the vertical distance of the ceiling do not exceed a set threshold, and the maximum vertical included angle between the three-dimensional laser scanner and the ceiling ranges from 45 degrees to 90 degrees.
As an optional embodiment of the present application, before scanning, the three-dimensional laser scanner further includes the following setting steps:
selecting indoor or outdoor according to the scanning area;
selecting a resolution and a quality of the scan;
the area range of the scan is selected.
In a second aspect: a BIM based engineering quality detection system, the system comprising a measurement device and a processing device;
the measuring device is used for acquiring spatial position three-dimensional point data of the surface of a scanned object to form a scanned three-dimensional entity point cloud;
the processing device is used for carrying out data processing on the point cloud to obtain the complete space geometric dimension of the scanned object and reversely generating a three-dimensional point cloud model;
the processing device is also used for carrying out comparative analysis on the three-dimensional point cloud model and a pre-generated BIM model so as to obtain a quality detection report.
As an alternative embodiment of the present application, the surveying device comprises a total station and a three-dimensional laser scanner;
before the scanning of the three-dimensional laser scanner, the method specifically comprises the following steps:
dividing a scanning area, and selecting a scanning station setting position;
and then arranging the scanning targets and the control targets according to the station setting positions, wherein the arrangement conditions of the scanning targets and the control targets are that at least three non-coplanar common points are arranged at two adjacent stations.
By adopting the technical scheme, the method has the following advantages: according to the BIM-based engineering quality detection method and system, the point cloud data of the scanned object is obtained, the three-dimensional point cloud model is generated reversely, the three-dimensional point cloud model and the engineering design BIM model are compared and analyzed, so that the deviation between an entity and the design can be compared, the construction quality evaluation is accurate, rapid, objective and comprehensive, the reason of the deviation can be found out conveniently through the derived electronic report, the correction in the subsequent construction is facilitated, and the guarantee is provided for the field construction quality.
Drawings
FIG. 1 is a flow chart of a BIM-based engineering quality detection method according to an embodiment of the present invention;
fig. 2 is a block diagram of a BIM-based engineering quality detection system according to an embodiment of the present invention.
Detailed Description
Specific embodiments of the present invention will be described in detail below, and it should be noted that the embodiments described herein are only for illustration and are not intended to limit the present invention. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, it will be apparent to one of ordinary skill in the art that: it is not necessary to employ these specific details to practice the present invention. In other instances, well-known circuits, software, or methods have not been described in detail so as not to obscure the present invention.
Throughout the specification, reference to "one embodiment," "an embodiment," "one example," or "an example" means: the particular features, structures, or characteristics described in connection with the embodiment or example are included in at least one embodiment of the invention. Thus, the appearances of the phrases "in one embodiment," "in an embodiment," "one example" or "an example" in various places throughout this specification are not necessarily all referring to the same embodiment or example. Furthermore, the particular features, structures, or characteristics may be combined in any suitable combination and/or sub-combination in one or more embodiments or examples. Further, those of ordinary skill in the art will appreciate that the illustrations provided herein are for illustrative purposes and are not necessarily drawn to scale.
The present invention will be described in detail below with reference to the accompanying drawings.
Referring to fig. 1, a method for detecting engineering quality based on BIM includes:
s101, obtaining spatial position three-dimensional point data of the surface of the scanned object to form a scanned three-dimensional entity point cloud, wherein the spatial position three-dimensional point data is obtained through identification of a measuring device.
Specifically, the measuring device comprises a total station and a three-dimensional laser scanner; the three-dimensional laser scanner mainly comprises a high-speed accurate laser range finder and a group of reflecting prisms, wherein the reflecting prisms can guide laser and scan at a uniform angular speed; when the laser range finder works, the laser range finder actively emits laser, and simultaneously receives signals reflected by the surface of a self-heating object so as to measure the distance, the scanner can measure the slant distance from a measuring station to a scanning point, and the scanning horizontal and vertical direction angles are matched, so that the space relative coordinate of each scanning point and the measuring station can be obtained;
the three-dimensional laser scanner in the embodiment has the effective measuring distance of 0.6-130 m, adopts safe level-1 laser (the wavelength is larger than 1400mm and invisible), the radiation power is lower than 1Nw, the distance measuring precision is +/-2 mm, the measuring speed is up to 976000 points/second, the maximum vertical scanning speed can reach 5820rpm, the measuring error of the flatness and the verticality of the building surface can reach 0.15mm, the precision is 6 times of that of a traditional measuring instrument, and the non-dead-angle measurement in the visible range can be realized; the total station is a TS60 high-precision total station and adopts an ATRplus system, an automatic measurement technology can be realized, a double-camera system is adopted, the coarse aiming range is wider, the fine aiming accuracy is higher, the speed measurement is fast, when the distance is more than 500m, the precision is 3mm, and the measurement time is 6 seconds; the method comprises the steps of rapidly obtaining three-dimensional point data of a spatial position of the surface of a scanned object by using a total station and a three-dimensional laser scanner through identifying and extracting key geometric features of a target object to form scanned three-dimensional entity point cloud (namely point cloud data);
when the method is applied, before scanning starts, whether the state of the three-dimensional laser scanner is good or not is firstly checked, then the area to be scanned needs to be surveyed on the spot, the structural form, the surrounding field level environment condition, the weather factors and the human influence are fully known, scanning planning is made in advance, and accidents are avoided.
Specifically, before scanning, dividing a scanning area, and selecting a scanning station setting position; the scanning area comprises a plurality of scanning area segments or a plurality of areas;
then arranging a scanning target and a control target according to the station setting position, wherein the arrangement condition of the scanning target and the control target is that at least three non-coplanar common points are arranged at two adjacent stations; the arrangement is that when the multiple observation stations are used, the later point cloud splicing precision is ensured and the point cloud data are successfully spliced.
Meanwhile, when the total station and the three-dimensional laser scanner are arranged, the method comprises the following steps:
when the total station is laid, only one total station is erected in each visible section, and the total station is erected on a fixed reference coordinate point set during construction, so that station moving errors of the total station can be reduced;
when the three-dimensional laser scanner is arranged, if a single station is scanned to cover the building single body, the registration process of the three-dimensional laser scanner is cancelled;
and for the building entities which cannot be covered by single-station scanning or the comparative analysis, carrying out registration splicing according to target points arranged on site, and then carrying out detection.
Further, in order to better conform to practical application conditions and facilitate flexible processing during application, the three-dimensional laser scanner comprises the following steps before scanning:
when the wall is scanned on a single surface, the erection distance of the three-dimensional laser scanner and the wall body does not exceed a set threshold value, and the maximum horizontal included angle between the three-dimensional laser scanner and the wall surface ranges from 45 degrees to 135 degrees;
when a ceiling is scanned, the erection distance of the three-dimensional laser scanner and the vertical distance of the ceiling do not exceed a set threshold, and the maximum vertical included angle between the three-dimensional laser scanner and the ceiling ranges from 45 degrees to 90 degrees; this is set to ensure accuracy, wherein the set threshold here is preferably 40 m; meanwhile, the level of the holder needs to be adjusted, then a management interface of the scanner is opened, the inclinometer of the sensor is selected, and the holder is matched with the electronic inclinometer to adjust the level of the instrument.
In another embodiment, based on the foregoing embodiment, the three-dimensional laser scanner further includes the following setting steps before scanning:
selecting indoor or outdoor according to the scanning area;
selecting a resolution and a quality of the scan;
the area range of the scan is selected.
Specifically, first, indoor or outdoor is selected according to the division of the work range; secondly, selecting the scanning resolution and quality, wherein the parameter is related to the accuracy of the point cloud data, the higher the resolution and quality is, the finer the scanning is, the longer the scanning time is, and the parameter is determined according to the accuracy requirement of the scanning data; then, a scanning area is selected, the default scanning area range is 360-degree spherical range scanning, the only blind area is a tripod area at the bottom of the scanner, namely, the vertical scanning area is-60-90 degrees, the horizontal scanning area is 0-360 degrees, and the parameters are determined according to the requirements of the scanning area. After the related parameters of the three-dimensional laser scanner are set, the three-dimensional laser scanner starts scanning, the instrument is guaranteed to be static during scanning, vibration interference is strictly forbidden, personnel are not allowed to walk around the instrument and the target to avoid influencing the pickup of the target point position, and the target point position comprises the scanning target and the control target.
And S102, carrying out data processing on the point cloud to obtain the complete space geometric dimension of the scanned object, and reversely generating a three-dimensional point cloud model.
In particular, the above steps may be performed by a processing device comprising a central controller, e.g. a computer, a server, etc.; in this embodiment, a computer is taken as an example for illustration, and the computer is loaded with point cloud data processing software Realworks; splicing all survey station data together by utilizing target points which are arranged in advance to form an integral three-dimensional point cloud model of a building (namely a scanned object);
for example, under an office measuring module in Realworks software, a series of external observed quantities of a building entity such as wall offset detection, wall perpendicularity and flatness detection, internal and external corner detection, bay depth and clear height measurement and opening size measurement are carried out.
S103, comparing and analyzing the three-dimensional point cloud model and a pre-generated BIM model to obtain a quality detection report.
Specifically, the three-dimensional point cloud model and the BIM model are established in the same unified coordinate system, and meanwhile, point cloud data of the three-dimensional laser scanner are not registered or a single-station registration method based on control points is adopted; the BIM model is generated in advance according to construction drawings, project data, map data and other related information data;
establishing a unified control network in the scanning area, scanning each area by using the three-dimensional laser scanner, and actually measuring the coordinates of a control target by using the total station to obtain first coordinates of the control target in the unified coordinate system;
extracting a second coordinate of the control target under the current three-dimensional laser scanner coordinate system;
by using the two sets of coordinates (referring to the first coordinate and the second coordinate) of the control target, the three-dimensional laser scanner coordinates and the total station transformation parameters of each area can be obtained;
and converting the scanning data of each station into a total station coordinate system by using the transformation parameters of each area to obtain point cloud data under a unified control network and the coordinate system, thereby directly finishing the registration of multi-station point clouds, further comparing the deviation of the three-dimensional point cloud model and the BIM model, and generating an electronic document capable of being exported.
Equivalently, in order to more accurately analyze the relative precision of the three-dimensional point cloud model and the BIM model, the two models are established in the same coordinate system, firstly, a unified control network is established in a region to be scanned, a three-dimensional laser scanner is used for scanning each section of region, meanwhile, a total station is used for actually measuring the coordinates (X, Y, Z) of a control target to obtain the coordinates of the control target under the unified coordinate system, the coordinates (X, Y, Z) of the control target under the current scanner coordinate system are extracted, and the coordinates of each sub-region scanner and the total station transformation parameters can be obtained by using the two sets of coordinates of the control target; the target coordinates measured by the total station are already in a unified control network coordinate system, so that point cloud data in the unified control network coordinate system are formed by converting scanning data of each station into the total station coordinate system by using the transformation parameters of each area, and the registration of multi-station point clouds is directly completed, so that the deviation between the model and the entity can be compared, an electronic document is derived, and a guide basis is provided for the improvement of the subsequent construction quality. The method is connected with the control network, so that the point cloud data can be directly converted into an external coordinate system, the precision is high, and the operation time is relatively short.
Further, in order to ensure the precision, points exceeding the preset distance value of the measuring station in the point cloud data are defined as noise points, and the noise points are cut and deleted; wherein the preset value is preferably 50 m.
The BIM model is imported into Realworks software, coordinates of control points in the point cloud are extracted by using a geodetic coordinate system conversion function in the software, then three-dimensional coordinate conversion is carried out on the coordinates of the field control points measured by a total station, the BIM model and point cloud data are subjected to registration, comparison and position deviation analysis are carried out on the BIM model and the point cloud data, after an electronic report is derived, the reason of the deviation is found out, and correction is carried out in subsequent construction, so that the guarantee is provided for the field construction quality.
According to the scheme, the method can be applied to the detection of the forming quality of the concrete surface, the quality guarantee is provided for the subsequent concrete construction through the scheme, the construction is more accurate, the unnecessary waste and rework situations are reduced, the concrete plastering area is reduced, the economic cost is saved, the energy consumption and pollution in the material production, transportation and use processes are reduced from the source, and the environmental protection benefit is obvious.
Based on the same inventive concept, referring to fig. 2, an embodiment of the present invention further provides a project quality detection system based on BIM:
the system comprises a measuring device and a processing device;
the measuring device is used for acquiring spatial position three-dimensional point data of the surface of the scanned object to form a scanned three-dimensional entity point cloud.
Specifically, the measuring device comprises a total station and a three-dimensional laser scanner;
before the scanning of the three-dimensional laser scanner, the method specifically comprises the following steps:
dividing a scanning area, and selecting a scanning station setting position;
and then arranging the scanning targets and the control targets according to the station setting positions, wherein the arrangement conditions of the scanning targets and the control targets are that at least three non-coplanar common points are arranged at two adjacent stations.
The processing device is used for carrying out data processing on the point cloud to obtain the complete space geometric dimension of the scanned object and reversely generating a three-dimensional point cloud model;
the processing device is also used for carrying out comparative analysis on the three-dimensional point cloud model and a pre-generated BIM model so as to obtain a quality detection report.
Specifically, Realworks software is loaded on the processing device, when contrastive analysis is carried out, a BIM model is led into the Realworks software, coordinates of a control point in a point cloud are extracted by utilizing a geodetic coordinate system conversion function in the software, then three-dimensional coordinate conversion is carried out on the coordinates of the control point on site measured by a total station, after the BIM model and point cloud data are registered, comparison and position deviation analysis of the BIM model and the point cloud data are carried out, after an electronic report is derived, the reason of deviation is found out, and correction is carried out in subsequent construction, so that guarantee is provided for site construction quality.
Further, when the total stations are arranged, only one total station is erected on each visible section, and the total stations are erected on fixed reference coordinate points set during construction;
when the three-dimensional laser scanner is arranged, if a single station is scanned to cover the building single body, the registration process of the three-dimensional laser scanner is cancelled;
and for the building entities which cannot be covered by single-station scanning or the comparative analysis, carrying out registration splicing according to target points arranged on site, and then carrying out detection.
Further, the comparing and analyzing of the three-dimensional point cloud model and the pre-generated BIM model specifically comprises:
establishing the three-dimensional point cloud model and the BIM model in the same unified coordinate system;
establishing a unified control network in the scanning area, scanning each area by using the three-dimensional laser scanner, and actually measuring the coordinates of a control target by using the total station to obtain first coordinates of the control target in the unified coordinate system;
extracting a second coordinate of the control target under the current three-dimensional laser scanner coordinate system;
by utilizing the two sets of coordinates of the control target, the three-dimensional laser scanner coordinates and the total station transformation parameters of each area can be obtained;
and converting the scanning data of each station into a total station coordinate system by using the transformation parameters of each area to obtain point cloud data under a unified control network and the coordinate system, thereby directly finishing the registration of multi-station point clouds, further comparing the deviation of the three-dimensional point cloud model and the BIM model, and generating an electronic document capable of being exported.
Further, points exceeding the preset station distance value in the point cloud data are defined as noise points, and the noise points are cut and deleted.
Further, the three-dimensional laser scanner comprises the following steps before scanning:
when the wall is scanned on a single surface, the erection distance of the three-dimensional laser scanner and the wall body does not exceed a set threshold value, and the maximum horizontal included angle between the three-dimensional laser scanner and the wall surface ranges from 45 degrees to 135 degrees;
when the ceiling is scanned, the erection distance of the three-dimensional laser scanner and the vertical distance of the ceiling do not exceed a set threshold, and the maximum vertical included angle between the three-dimensional laser scanner and the ceiling ranges from 45 degrees to 90 degrees.
Further, before scanning, the three-dimensional laser scanner further comprises the following setting steps:
selecting indoor or outdoor according to the scanning area;
selecting a resolution and a quality of the scan;
the area range of the scan is selected.
It should be noted that, the above-mentioned system corresponds to the above-mentioned method embodiment, and the detailed implementation and beneficial effects are referred to the above-mentioned text, which is not described herein again.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; those of ordinary skill in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (10)
1. A BIM-based engineering quality detection method is characterized by comprising the following steps:
acquiring spatial position three-dimensional point data of the surface of a scanned object to form a scanned three-dimensional entity point cloud, wherein the spatial position three-dimensional point data is obtained by identifying through a measuring device;
carrying out data processing on the point cloud to obtain the complete space geometric dimension of the scanned object, and reversely generating a three-dimensional point cloud model;
and comparing and analyzing the three-dimensional point cloud model and a pre-generated BIM model to obtain a quality detection report.
2. The BIM-based engineering quality detection method according to claim 1, further comprising:
before scanning, dividing a scanning area, and selecting a scanning station setting position;
and then arranging the scanning targets and the control targets according to the station setting positions, wherein the arrangement conditions of the scanning targets and the control targets are that at least three non-coplanar common points are arranged at two adjacent stations.
3. The BIM-based project quality detection method of claim 1 or 2, wherein said measuring device comprises a total station and a three-dimensional laser scanner.
4. The BIM-based project quality detection method of claim 3, wherein, when the total station is deployed, each visibility section is provided with only one total station, and the total station is provided at a fixed reference coordinate point set during construction;
when the three-dimensional laser scanner is arranged, if a single station is scanned to cover the building single body, the registration process of the three-dimensional laser scanner is cancelled;
and for the building entities which cannot be covered by single-station scanning or the comparative analysis, carrying out registration splicing according to target points arranged on site, and then carrying out detection.
5. The BIM-based engineering quality detection method according to claim 4, wherein the comparing and analyzing of the three-dimensional point cloud model and the pre-generated BIM model specifically comprises:
establishing the three-dimensional point cloud model and the BIM model in the same unified coordinate system;
establishing a unified control network in the scanning area, scanning each area by using the three-dimensional laser scanner, and actually measuring the coordinates of a control target by using the total station to obtain first coordinates of the control target in the unified coordinate system;
extracting a second coordinate of the control target under the current three-dimensional laser scanner coordinate system;
by utilizing the two sets of coordinates of the control target, the three-dimensional laser scanner coordinates and the total station transformation parameters of each area can be obtained;
and converting the scanning data of each station into a total station coordinate system by using the transformation parameters of each area to obtain point cloud data under a unified control network and the coordinate system, thereby directly finishing the registration of multi-station point clouds, further comparing the deviation of the three-dimensional point cloud model and the BIM model, and generating an electronic document capable of being exported.
6. The BIM-based engineering quality inspection method according to claim 5,
and defining a point exceeding a preset station distance value in the point cloud data as a noise point, and shearing and deleting the noise point.
7. The BIM-based engineering quality detection method according to claim 3, wherein the three-dimensional laser scanner comprises the following steps before scanning:
when the wall is scanned on a single surface, the erection distance of the three-dimensional laser scanner and the wall body does not exceed a set threshold value, and the maximum horizontal included angle between the three-dimensional laser scanner and the wall surface ranges from 45 degrees to 135 degrees;
when the ceiling is scanned, the erection distance of the three-dimensional laser scanner and the vertical distance of the ceiling do not exceed a set threshold, and the maximum vertical included angle between the three-dimensional laser scanner and the ceiling ranges from 45 degrees to 90 degrees.
8. The BIM-based engineering quality detection method according to claim 7, wherein the three-dimensional laser scanner further comprises the following setting steps before scanning:
selecting indoor or outdoor according to the scanning area;
selecting a resolution and a quality of the scan;
the area range of the scan is selected.
9. A BIM-based engineering quality detection system is characterized in that the system comprises a measuring device and a processing device;
the measuring device is used for acquiring spatial position three-dimensional point data of the surface of a scanned object to form a scanned three-dimensional entity point cloud;
the processing device is used for carrying out data processing on the point cloud to obtain the complete space geometric dimension of the scanned object and reversely generating a three-dimensional point cloud model;
the processing device is also used for carrying out comparative analysis on the three-dimensional point cloud model and a pre-generated BIM model so as to obtain a quality detection report.
10. The BIM-based project quality detection system of claim 9, wherein said surveying device comprises a total station and a three-dimensional laser scanner;
before the scanning of the three-dimensional laser scanner, the method specifically comprises the following steps:
dividing a scanning area, and selecting a scanning station setting position;
and then arranging the scanning targets and the control targets according to the station setting positions, wherein the arrangement conditions of the scanning targets and the control targets are that at least three non-coplanar common points are arranged at two adjacent stations.
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| CN112414305A (en) * | 2020-11-26 | 2021-02-26 | 江南造船(集团)有限责任公司 | Container ship guide rail frame measuring method and system |
| CN112665515A (en) * | 2020-12-02 | 2021-04-16 | 上海建工四建集团有限公司 | BIM-based steel structure deformation monitoring method |
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| CN111595264A (en) * | 2020-05-29 | 2020-08-28 | 广西玉柴机器股份有限公司 | Method for digital rapid detection and analysis of sand core |
| CN111709074A (en) * | 2020-06-04 | 2020-09-25 | 深圳广田集团股份有限公司 | Construction method for intelligently controlling large-space special-shaped curved surface based on BIM technology |
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| CN112414305A (en) * | 2020-11-26 | 2021-02-26 | 江南造船(集团)有限责任公司 | Container ship guide rail frame measuring method and system |
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| WO2023279695A1 (en) * | 2021-07-06 | 2023-01-12 | 国网江苏省电力工程咨询有限公司 | Power transmission and transformation project acceptance method based on bim and point cloud measurement |
| CN113378285A (en) * | 2021-08-11 | 2021-09-10 | 上海建工集团股份有限公司 | Automatic die assembly analysis system and method for building structure |
| CN113378285B (en) * | 2021-08-11 | 2021-11-05 | 上海建工集团股份有限公司 | Automatic die assembly analysis system and method for building structure |
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