CN117874900A - House construction engineering supervision method based on BIM technology - Google Patents

House construction engineering supervision method based on BIM technology Download PDF

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CN117874900A
CN117874900A CN202410275826.2A CN202410275826A CN117874900A CN 117874900 A CN117874900 A CN 117874900A CN 202410275826 A CN202410275826 A CN 202410275826A CN 117874900 A CN117874900 A CN 117874900A
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CN117874900B (en
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高新伟
冯长金
杨旭
许岩磊
王欣
王春辉
郭福权
师智
赵国增
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Zhongju Shaanxi Engineering Consulting Management Co ltd
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Abstract

The invention relates to the technical field of data processing, in particular to a house construction engineering supervision method based on BIM technology, which comprises the following steps: collecting point cloud data of a building, and dividing the point cloud data to obtain a plurality of empty voxel blocks and a plurality of non-empty voxel blocks of the point cloud data; obtaining the degree of abnormality of each three-dimensional space point in each non-empty voxel block according to the non-empty voxel block and the laser reflection intensity of the plurality of angles; acquiring an initial reference point of each non-empty voxel block according to the degree of abnormality and the coordinates; acquiring an initial reference point of each empty voxel block; according to the initial reference point, the voxel blocks and the normal direction, obtaining the influence coefficient of each non-empty voxel block on other voxel blocks; and constructing a BIM model of the building construction according to the influence coefficient and the initial datum point. The method reduces the problem of voxel downsampling offset, and has better filling of the reference points possibly missing in the point cloud data, so that the generated three-dimensional model is more accurate.

Description

House construction engineering supervision method based on BIM technology
Technical Field
The invention relates to the technical field of data processing, in particular to a house construction engineering supervision method based on BIM technology.
Background
BIM provides a comprehensive digital representation including information on various aspects of building geometry, structure, equipment, materials, etc. This allows for more visualization and manageability of the design, construction and operation processes at various stages of the project; in the process of generating the BIM model, three-dimensional components are required to be drawn on the point cloud, curved surfaces are fitted, component attributes are set and the like, point cloud data are usually huge, the data size is reduced by using voxel downsampling, the size and shape of the voxels can be adjusted in the voxel downsampling process, and important geometric characteristics can be reserved as far as possible while the data size is reduced, so that the built BIM model still has enough detailed information.
In the conventional voxel downsampling process, the voxel downsampling is usually based on the center point of a voxel block, sampling offset may be introduced, and the acquired point cloud data does not have corresponding points at all points on the surface of the object, which means that the sampled point cloud may generate some offset or partial data loss on the surface of the object, which may cause a certain error in the process of performing surface fitting and drawing three-dimensional construction by using the downsampling result, so that the accuracy of the generated three-dimensional model is poor, especially at the edge of the original point cloud or in the area where some turning points exist, resulting in poor supervision effect of building construction engineering.
Disclosure of Invention
In order to solve the problems, the invention provides a house construction engineering supervision method based on BIM technology.
The house construction engineering supervision method based on the BIM technology adopts the following technical scheme:
the embodiment of the invention provides a house construction engineering supervision method based on BIM technology, which comprises the following steps:
collecting point cloud data of a building, wherein the point cloud data comprises a plurality of points in a three-dimensional space, and each three-dimensional space point has corresponding coordinates, laser reflection intensity of a plurality of angles and a normal direction;
dividing the point cloud data to obtain a plurality of voxel blocks of the point cloud data, and obtaining a plurality of empty voxel blocks and a plurality of non-empty voxel blocks of the point cloud data according to the voxel blocks; obtaining the degree of abnormality of each three-dimensional space point in each non-empty voxel block according to the non-empty voxel block and the laser reflection intensity of the plurality of angles; acquiring an initial reference point of each non-empty voxel block according to the degree of abnormality and the coordinates; taking the mass center of each empty voxel block as an initial reference point of the corresponding empty voxel block;
according to the initial reference point, the voxel blocks and the normal direction, obtaining the influence coefficient of each non-empty voxel block on other voxel blocks; obtaining a final datum point of each voxel block according to the influence coefficient and the initial datum point;
building a BIM model of the building construction according to the final datum point.
Further, the method for obtaining the degree of abnormality of each three-dimensional space point in each non-empty voxel block according to the non-empty voxel block and the laser reflection intensities of a plurality of angles comprises the following specific steps:
marking any non-empty voxel block as a target non-empty voxel block;
intra-block non-empty voxels of the targetMaximum value and maximum value of laser reflection intensity of three-dimensional space points at multiple anglesIs marked as the absolute value of the difference in the target non-empty voxel block +.>A first difference absolute value of the three-dimensional space points; />The specific acquisition method of (1) is as follows: intra-target non-empty voxel block +.>The angle corresponding to the maximum value of the laser reflection intensity of each three-dimensional space point at a plurality of angles is marked as a first angle, and the first +.>The laser reflection intensity of each three-dimensional space point at a plurality of angles is recorded as +.>The method comprises the steps of carrying out a first treatment on the surface of the Intra-target non-empty voxel block +.>Three-dimensional space points and->The Euclidean distance of each three-dimensional space point is marked as the +.>The distance parameter of each three-dimensional space point is used as the accumulated value of the product of the absolute value of the first difference value of each three-dimensional space point in the target non-empty voxel block and the distance parameter, and the accumulated value is used as the +.>Degree of abnormality of each three-dimensional space point.
Further, the step of obtaining the initial reference point of each non-empty voxel block according to the abnormality degree and the coordinates comprises the following specific steps:
subtracting the first voxel block from the maximum value of the abnormality degree of the three-dimensional space point in the target non-empty voxel blockThe difference of the degree of abnormality of the three-dimensional space points is denoted as +.>The first difference values of the three-dimensional space points are linearly normalized, and the first difference values of all the three-dimensional space points in the target non-empty voxel block are subjected to the +.>Normalized result of the first difference of the three-dimensional space points is marked as +.>Will->Coordinates of the three-dimensional points are marked +.>；
According toAnd->An initial reference point is obtained for each non-empty voxel block.
Further, according toAnd->The method for obtaining the initial reference point of each non-empty voxel block comprises the following specific steps:
will beThe determined coordinates are marked as +.>The first coordinates of three-dimensional space points are obtained, the first coordinates of each three-dimensional space point in the target non-empty voxel block are obtained, and the average value of the abscissa coordinates of the first coordinates of all three-dimensional space points in the target non-empty voxel block is marked as +.>The mean value of the ordinate of the first coordinates of all three-dimensional space points in the target non-empty voxel block is marked as +.>The average value of the vertical coordinates of the first coordinates of all three-dimensional space points in the target non-empty voxel block is marked as +.>Will beThe determined three-dimensional space point is taken as an initial reference point of the target non-empty voxel block.
Further, according to the initial reference point, the voxel blocks and the normal direction, the influence coefficient of each non-empty voxel block on other voxel blocks is obtained, which comprises the following specific steps:
marking a set formed by all voxel blocks of the point cloud data as a voxel block set, and marking any voxel block except a target non-empty voxel block in the voxel block set as a first voxel block;
in the method, in the process of the invention,for the number of three-dimensional space points in the target non-empty voxel block, < >>The specific acquisition method of (1) is as follows: intra-target non-empty voxel block +.>The normal direction corresponding to the three-dimensional space points is marked as a first direction; intra-target non-empty voxel block +.>The three-dimensional space points point to the direction of the initial datum point of the first body block and are marked as a second direction; the angle between the first direction and the second direction is marked as +.>；/>To take absolute value, +.>For the +.>Euclidean distance between three-dimensional space points and initial reference point of first voxel block, < ->And the influence coefficient of the target non-empty voxel block on the first voxel block.
Further, the final reference point of each voxel block is obtained according to the influence coefficient and the initial reference point, which comprises the following specific steps:
taking an initial datum point of a first voxel block as a center, and acquiring a space domain asExcept for all non-empty voxel blocks of the first voxel block in the size range, the spatial domain is +.>Is denoted as the set of non-empty voxel blocks of the first voxel block, & lt/EN & gt>For a preset first numerical value, marking any one non-empty voxel block in a non-empty voxel block set of the first voxel block as a first non-empty voxel block; performing linear normalization processing on the influence coefficients of all non-empty voxel blocks on other voxel blocks, and marking the normalization result of the influence coefficients of the first non-empty voxel block on the first voxel block as +.>The method comprises the steps of carrying out a first treatment on the surface of the The coordinates of the initial reference point of the first non-empty voxel block are recorded as +.>The method comprises the steps of carrying out a first treatment on the surface of the The coordinates of the initial reference point of the first voxel block are noted +.>The method comprises the steps of carrying out a first treatment on the surface of the Will->The difference of (2) is recorded as->The method comprises the steps of carrying out a first treatment on the surface of the Will beThe determined coordinates are marked as the reference coordinates of the first voxel block and the first non-empty voxel block, the reference coordinates of each non-empty voxel block in a non-empty voxel block set of the first voxel block and the first voxel block are obtained, and the average value of the abscissa coordinates of the reference coordinates of all non-empty voxel blocks in the non-empty voxel block set of the first voxel block and the first voxel block is marked as +.>The mean value of the ordinate of the reference coordinates of all non-empty voxel blocks in the non-empty voxel block set of the first voxel block and the first voxel block is marked as +.>The mean value of the vertical coordinates of the reference coordinates of all non-empty voxel blocks in the non-empty voxel block set of the first voxel block and the first voxel block is marked as +.>Will->The determined three-dimensional space point is used as a final reference point of the first voxel block.
Further, the building BIM model of the house building according to the final datum point comprises the following specific steps:
and removing the voxel blocks of which the final reference points are not in the corresponding voxel blocks, reserving the voxel blocks of which the final reference points are in the corresponding voxel blocks, and constructing a BIM model of the building construction according to the final reference points of all reserved voxel blocks.
Further, the dividing the point cloud data to obtain a plurality of voxel blocks of the point cloud data comprises the following specific steps:
presetting a reference voxel block, wherein the reference voxel block is a cube; and equally dividing the point cloud data according to the reference voxel blocks to obtain a plurality of voxel blocks of the point cloud data.
Further, the method for acquiring a plurality of empty voxel blocks and a plurality of non-empty voxel blocks of the point cloud data according to the voxel blocks comprises the following specific steps:
and marking the voxel blocks which do not contain the three-dimensional space points in the voxel blocks as empty voxel blocks of the point cloud data, and marking the voxel blocks which contain the three-dimensional space points in the voxel blocks as non-empty voxel blocks of the point cloud data.
Further, the collecting the point cloud data of the building construction comprises the following specific steps:
and scanning the building by a laser scanner to obtain the point cloud data of the building.
The technical scheme of the invention has the beneficial effects that: according to the invention, after the point cloud data of the building construction are acquired, a plurality of voxel blocks of the point cloud data are obtained through dividing the point cloud data, and the empty voxel blocks and the non-empty voxel blocks, the degree of abnormality of each three-dimensional space point in each non-empty voxel block is obtained through the non-empty voxel blocks and the laser reflection intensity of a plurality of angles, so that when the initial datum point of the voxel block is determined later, the determination of the initial datum point of the voxel block is more reasonable and accurate through the degree of abnormality of the corresponding point, the influence coefficient of each non-empty voxel block on other voxel blocks is obtained, the final datum point of each voxel block is further obtained, the influence relation of the voxel block in a preset space neighborhood and other non-empty voxel blocks is considered when the final datum point is obtained, the representativeness of each voxel block corresponding to the final datum point is improved, and the missing datum point possibly exists in the point cloud data has a better filling effect, so that the supervision effect of the building construction is improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of steps of a building construction supervision method based on BIM technology according to an embodiment of the present invention;
fig. 2 is a characteristic flow diagram of building a BIM model of a building construction according to an embodiment of the present invention.
Detailed Description
In order to further describe the technical means and effects adopted by the present invention to achieve the preset purpose, the following detailed description is given below of a building construction engineering supervision method based on BIM technology according to the present invention, and the detailed description is given below of the specific implementation, structure, feature and effects thereof. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The following specifically describes a specific scheme of a house construction engineering supervision method based on BIM technology.
Referring to fig. 1 and 2, a step flow chart of a building construction engineering supervision method based on a BIM technology and a feature flow chart of building a BIM model of a building according to an embodiment of the present invention are shown, where the method includes the following steps:
and S001, collecting point cloud data of the building construction.
Note that, the arrangement logic of this embodiment is to obtain point cloud data corresponding to a house engineering. Carrying out voxel division on the obtained point cloud data, and calculating initial datum point positions corresponding to each voxel block in each voxel block by considering the degree of abnormality corresponding to each point in the same voxel block; calculating the influence coefficient of the adjacent voxel block on the point cloud data in consideration of the distribution condition of the point cloud data in the adjacent voxel block, and filling the voxel downsampling result corresponding to the point cloud data possibly with data missing by combining the position of the initial datum point so as to obtain a final downsampling result; the method solves the problem of poor downsampling results caused by taking the central point of each voxel as a reference in the traditional downsampling process of point cloud voxels, corrects the reference point of each voxel block by analyzing the distribution condition of point cloud data in each non-empty voxel and the influence between adjacent voxels so as to improve the precision of the downsampling results, further improve the supervision of building construction engineering, and collect data before starting analysis.
Specifically, a laser scanner is used for scanning the building construction, so that point cloud data of the building construction are obtained; it should be noted that the point cloud data is a series of coordinate points of the surface of a building or structure in three-dimensional space, and these points are sampled at a very high density in space to accurately capture the shape, details and geometric features of the building; the point cloud data comprises a plurality of points in a three-dimensional space, and each point has a corresponding coordinate, laser reflection intensity of a plurality of angles and a normal direction; it should be noted that, the method for obtaining the laser reflection intensity and the normal direction is the existing method, and this embodiment is not repeated.
And obtaining the point cloud data of the building construction.
Step S002, dividing the point cloud data to obtain a plurality of voxel blocks of the point cloud data, and obtaining a plurality of empty voxel blocks and a plurality of non-empty voxel blocks of the point cloud data according to the voxel blocks; obtaining the degree of abnormality of each three-dimensional space point in each non-empty voxel block according to the non-empty voxel block and the laser reflection intensity of the plurality of angles; acquiring an initial reference point of each non-empty voxel block according to the degree of abnormality and the coordinates; an initial reference point is obtained for each empty voxel block.
The method comprises the steps of firstly, considering the laser reflection intensity difference in each direction corresponding to each point in a single voxel block, obtaining the degree of abnormality corresponding to each point, further obtaining an initial reference point corresponding to each voxel block, wherein the initial reference point is obtained by only considering the abnormality in the same voxel block and not considering the influence degree of the point cloud data in the adjacent block, so that the position relation between the normal direction of each point in the adjacent voxel block and the reference point is analyzed, the influence coefficient between the adjacent block and the reference point is calculated, further correcting the reference point of each voxel block according to the influence coefficient, completing voxel downsampling, and further monitoring the house construction engineering.
Specifically, dividing the point cloud data to obtain a plurality of voxel blocks of the point cloud data, and obtaining a plurality of empty voxel blocks and a plurality of non-empty voxel blocks of the point cloud data according to the voxel blocks, wherein the method specifically comprises the following steps:
presetting a reference voxel block, the embodiment takes the size of the reference voxel block ascm, to mention; the reference voxel block is a cube; equal dividing of point cloud data according to reference voxel blockDividing to obtain a plurality of voxel blocks of the point cloud data, marking the voxel blocks which do not contain three-dimensional space points in the voxel blocks as empty voxel blocks of the point cloud data, and marking the voxel blocks which contain the three-dimensional space points in the voxel blocks as non-empty voxel blocks of the point cloud data; when equally dividing point cloud data, if the division is not a cube, the space defined by the reference voxel block is directly defined as a voxel block.
It should be noted that, the reference point in the traditional voxel block is a center point or a centroid point of the voxel block space position, the selection mode does not consider that part of points are abnormal points, and the situation that point cloud data which are not in the same plane appear in the same voxel block exists, if only the centroid point is used, the obtained reference point cannot well represent the distribution situation of the point cloud data in the voxel block, so that in the process of obtaining the point cloud data, the difference of laser reflection intensity of each point corresponding to different angles is considered, different abnormal degrees are given to each point, and the traditional reference point is improved.
Specifically, according to the non-empty voxel blocks and the laser reflection intensities of a plurality of angles, the degree of abnormality of each three-dimensional space point in each non-empty voxel block is obtained, specifically as follows:
any non-empty voxel block is marked as a target non-empty voxel block.
In the method, in the process of the invention,for the number of three-dimensional space points in the target non-empty voxel block, < >>For the +.>Three-dimensional space points and->The Euclidean distance of the three-dimensional space points; />The present embodiment uses +.>The model of (2) presents an inverse proportion relation, and other inverse proportion functions can be set according to implementation conditions during implementation; />For the +.>The maximum value of laser reflection intensity of the three-dimensional space points at a plurality of angles; />The specific acquisition method of (1) is as follows: intra-target non-empty voxel block +.>The angle corresponding to the maximum value of the laser reflection intensity of each three-dimensional space point at a plurality of angles is marked as a first angle, and the first +.>The laser reflection intensity of each three-dimensional space point at a plurality of angles is recorded as +.>；/>To take absolute value, +.>For the +.>Three of themDegree of abnormality of dimensional space points.
Considering the relation between a point and the spatial position distance between the point and each point in the voxel and the reflection intensity of the laser scanner under the same angle, if the point and the corresponding reflection intensities of the points under the same angle are the same or adjacent, the point has a larger probability of being in the same plane with other points, then the weighting correction is carried out by utilizing the distance between each point and each point in the spatial position, namely the weight between the points with the closer distance is higher, and the obtained abnormality degree measurement is further obtained.
Further, an initial reference point of each non-empty voxel block is obtained according to the degree of abnormality and the coordinates, specifically as follows:
subtracting the first voxel block from the maximum value of the abnormality degree of the three-dimensional space point in the target non-empty voxel blockThe difference of the degree of abnormality of the three-dimensional space points is denoted as +.>The first difference values of the three-dimensional space points are linearly normalized, and the first difference values of all the three-dimensional space points in the target non-empty voxel block are subjected to the +.>Normalized result of the first difference of the three-dimensional space points is marked as +.>Will->Coordinates of the three-dimensional points are marked +.>Will->The determined coordinates are marked as +.>The first coordinates of three-dimensional space points are obtained, the first coordinates of each three-dimensional space point in the target non-empty voxel block are obtained, and the average value of the abscissa coordinates of the first coordinates of all three-dimensional space points in the target non-empty voxel block is marked as +.>The mean value of the ordinate of the first coordinates of all three-dimensional space points in the target non-empty voxel block is marked as +.>The average value of the vertical coordinates of the first coordinates of all three-dimensional space points in the target non-empty voxel block is marked as +.>Will->The determined three-dimensional space point is taken as an initial reference point of the target non-empty voxel block.
According to the obtained degree of abnormality of each three-dimensional space point in each non-empty voxel block, the traditional voxel datum point is subjected to preliminary correction, points with high degree of abnormality are given a lower weight coefficient, namely, the greater the degree of abnormality is, the smaller the first difference value is, the points are subjected to weighted average, the initial datum point of the non-empty voxel block is obtained, the obtained initial datum point avoids the influence of partial abnormal space points on the datum point, and the initial datum point is more representative.
Further, an initial reference point of each empty voxel block is obtained, specifically as follows:
any empty voxel block is marked as a target empty voxel block, and the centroid of the target empty voxel block is used as an initial reference point of the target empty voxel block.
Thus, an initial reference point of the non-empty voxel block and a reference point of the empty voxel block are obtained.
Step S003, according to the initial reference point, the voxel blocks and the normal direction, obtaining the influence coefficient of each non-empty voxel block on other voxel blocks; and obtaining a final datum point of each voxel block according to the influence coefficient and the initial datum point.
It should be noted that, in the process of collecting the point cloud data, due to different reflection and absorption properties of different materials on the laser or other sensors, a defect of a part of points may occur, for example, a situation that a real object exists at a part of voxel blocks, but an empty voxel block exists, so that an influence of adjacent non-empty voxel blocks on a voxel block to be analyzed (an empty voxel block or a non-empty voxel block) needs to be considered, if a certain directivity exists in distribution of the point cloud data in the adjacent non-empty voxel blocks and the correlation with the voxel block to be analyzed is higher, then the voxel block to be analyzed should be reserved, otherwise, deletion is performed.
Specifically, according to the initial reference point, the voxel blocks and the normal direction, the influence coefficient of each non-empty voxel block on other voxel blocks is obtained, specifically as follows:
marking a set formed by all voxel blocks of the point cloud data as a voxel block set, and marking any voxel block except a target non-empty voxel block in the voxel block set as a first voxel block; the first voxel block may be an empty voxel block or a non-empty voxel block.
In the method, in the process of the invention,for the number of three-dimensional space points in the target non-empty voxel block, < >>The specific acquisition method of (1) is as follows: intra-target non-empty voxel block +.>The normal direction corresponding to the three-dimensional space points is marked as a first direction; intra-target non-empty voxel block +.>The three-dimensional space points point to the first voxel blockThe direction of the initial datum point is marked as a second direction; the angle between the first direction and the second direction is marked as +.>；/>To take absolute value, +.>For the +.>Euclidean distance between three-dimensional space points and initial reference point of first voxel block, < ->And the influence coefficient of the target non-empty voxel block on the first voxel block.
In consideration of the distribution of point cloud data in a target non-empty voxel block, if each three-dimensional space point points to the direction of the initial reference point of the first voxel block, the angle value of the normal direction corresponding to the point isApproximately 0 or->The relation between the plane where the point is located and the first voxel block is smaller, and the influence coefficient of a target non-empty voxel with lower relevance between the plane and the first voxel block on the first voxel block is smaller; otherwise, the influence coefficient is larger, and the points in the adjacent non-empty voxels have larger probability to appear in the first voxel block after being extended; therefore, the absolute value of the sine value corresponding to the angle difference is used +>The distances between the three-dimensional space points and the initial reference points of the first voxel block are weighted and averaged to obtain the influence coefficient of the target non-empty voxel block on the first voxel block (the object described by the influence coefficient must be the non-empty voxel block on the restInfluence of voxel blocks).
It should be noted that, the influence coefficient of each non-empty voxel block on other voxel blocks is analyzed, the influence coefficient of a plurality of adjacent non-empty voxel blocks on the non-empty voxel blocks is considered, if the influence coefficient of the adjacent non-empty voxel blocks on the non-empty voxel blocks is larger, the corresponding retention degree of the voxel blocks is higher, that is, the voxel blocks are given higher weight coefficients in the subsequent reference point adjustment process, so that the voxel blocks affected by the plurality of blocks have higher retention probability, otherwise, for the blocks affected by the adjacent blocks with lower influence coefficients, a certain probability exists to remove the blocks, thereby achieving the purpose of removing part of noise points.
Specifically, a final reference point of each voxel block is obtained according to the influence coefficient and the initial reference point, and the method specifically comprises the following steps:
taking an initial datum point of a first voxel block as a center, and acquiring a space domain asExcept for all non-empty voxel blocks of the first voxel block in the size range, the spatial domain is +.>Is denoted as the set of non-empty voxel blocks of the first voxel block, & lt/EN & gt>For a preset first value, the embodiment usesDescription is made; any one non-empty voxel block in the non-empty voxel block set of the first voxel block is marked as a first non-empty voxel block; performing linear normalization processing on the influence coefficients of all non-empty voxel blocks on other voxel blocks, and marking the normalization result of the influence coefficients of the first non-empty voxel block on the first voxel block as +.>The method comprises the steps of carrying out a first treatment on the surface of the To block the first non-empty voxelThe coordinates of the initial datum point are marked +.>The method comprises the steps of carrying out a first treatment on the surface of the The coordinates of the initial reference point of the first voxel block are noted +.>The method comprises the steps of carrying out a first treatment on the surface of the Will->The difference of (2) is recorded as->The method comprises the steps of carrying out a first treatment on the surface of the Will->The determined coordinates are marked as the reference coordinates of the first voxel block and the first non-empty voxel block, the reference coordinates of each non-empty voxel block in a non-empty voxel block set of the first voxel block and the first voxel block are obtained, and the average value of the abscissa coordinates of the reference coordinates of all non-empty voxel blocks in the non-empty voxel block set of the first voxel block and the first voxel block is marked as +.>The mean value of the ordinate of the reference coordinates of all non-empty voxel blocks in the non-empty voxel block set of the first voxel block and the first voxel block is marked as +.>The mean value of the vertical coordinates of the reference coordinates of all non-empty voxel blocks in the non-empty voxel block set of the first voxel block and the first voxel block is marked as +.>Will->The determined three-dimensional space point is used as a final reference point of the first voxel block.
It should be noted that, first, the initial reference point of each voxel block is taken as the centerAnd (3) acquiring a plurality of non-empty voxel blocks in the spatial neighborhood, taking the normalized influence coefficient as a proportionality coefficient between initial reference points of two blocks, wherein the larger the influence coefficient is, the higher the weight correspondence of the initial reference point of a central voxel block (first voxel block) is, otherwise, the initial reference point of a similar block (first non-empty voxel block) is more favored, and after averaging, the final reference point position corresponding to the (first non-empty voxel block) voxel block is obtained.
So far, a final reference point of each voxel block is obtained.
And S004, building a BIM model of the building construction according to the final datum point.
It should be noted that, the final reference point of each voxel block is obtained by analyzing the influence coefficient and the initial reference point, and then the voxel downsampling is completed according to the final reference point of the voxel block, so as to construct the BIM model.
Specifically, removing voxel blocks of which the final reference points are not in the corresponding voxel blocks, reserving the voxel blocks of which the final reference points are in the corresponding voxel blocks, and constructing a BIM model of the building according to the final reference points of all reserved voxel blocks; it should be noted that, building a building BIM model according to the final reference points of all reserved voxel blocks is an existing method, and this embodiment will not be described again.
And dividing point cloud data, judging a final datum point of each voxel block, and constructing a BIM model of the house building to finish house building engineering supervision based on BIM technology.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the invention, but any modifications, equivalent substitutions, improvements, etc. within the principles of the present invention should be included in the scope of the present invention.

Claims (10)

1. A house construction engineering supervision method based on BIM technology is characterized by comprising the following steps:
collecting point cloud data of a building, wherein the point cloud data comprises a plurality of points in a three-dimensional space, and each three-dimensional space point has corresponding coordinates, laser reflection intensity of a plurality of angles and a normal direction;
dividing the point cloud data to obtain a plurality of voxel blocks of the point cloud data, and obtaining a plurality of empty voxel blocks and a plurality of non-empty voxel blocks of the point cloud data according to the voxel blocks; obtaining the degree of abnormality of each three-dimensional space point in each non-empty voxel block according to the non-empty voxel block and the laser reflection intensity of the plurality of angles; acquiring an initial reference point of each non-empty voxel block according to the degree of abnormality and the coordinates; taking the mass center of each empty voxel block as an initial reference point of the corresponding empty voxel block;
according to the initial reference point, the voxel blocks and the normal direction, obtaining the influence coefficient of each non-empty voxel block on other voxel blocks; obtaining a final datum point of each voxel block according to the influence coefficient and the initial datum point;
building a BIM model of the building construction according to the final datum point.
2. The building construction supervision method based on the BIM technology according to claim 1, wherein the obtaining the degree of abnormality of each three-dimensional space point in each non-empty voxel block according to the non-empty voxel block and the laser reflection intensity of a plurality of angles comprises the following specific steps:
marking any non-empty voxel block as a target non-empty voxel block;
intra-block non-empty voxels of the targetMaximum value of laser reflection intensity of three-dimensional space point at multiple angles and +.>Is marked as the absolute value of the difference in the target non-empty voxel block +.>A first difference absolute value of the three-dimensional space points; />The specific acquisition method of (1) is as follows: intra-target non-empty voxel block +.>The angle corresponding to the maximum value of the laser reflection intensity of each three-dimensional space point at a plurality of angles is marked as a first angle, and the first +.>The laser reflection intensity of each three-dimensional space point at a plurality of angles is recorded as +.>The method comprises the steps of carrying out a first treatment on the surface of the Intra-target non-empty voxel block +.>Three-dimensional space points and->The Euclidean distance of each three-dimensional space point is marked as the +.>The distance parameter of each three-dimensional space point is used as the accumulated value of the product of the absolute value of the first difference value of each three-dimensional space point in the target non-empty voxel block and the distance parameter, and the accumulated value is used as the +.>Degree of abnormality of each three-dimensional space point.
3. The building construction supervision method based on the BIM technology according to claim 2, wherein the step of obtaining the initial reference point of each non-empty voxel block according to the degree of abnormality and the coordinates includes the following specific steps:
to make the object not emptySubtracting the first voxel block in the target non-empty voxel block from the maximum value of the degree of abnormality of the three-dimensional space point in the voxel blockThe difference of the degree of abnormality of the three-dimensional space points is denoted as +.>The first difference values of the three-dimensional space points are linearly normalized, and the first difference values of all the three-dimensional space points in the target non-empty voxel block are subjected to the +.>Normalized result of the first difference of the three-dimensional space points is marked as +.>Will->Coordinates of the three-dimensional points are marked +.>；
According toAnd->An initial reference point is obtained for each non-empty voxel block.
4. A method of supervision of a building construction based on the BIM technique according to claim 3, wherein the following is adoptedAnd->Obtaining an initial reference point for each non-empty voxel blockThe method comprises the following specific steps:
will beThe determined coordinates are marked as +.>The first coordinates of three-dimensional space points are obtained, the first coordinates of each three-dimensional space point in the target non-empty voxel block are obtained, and the average value of the abscissa coordinates of the first coordinates of all three-dimensional space points in the target non-empty voxel block is marked as +.>The mean value of the ordinate of the first coordinates of all three-dimensional space points in the target non-empty voxel block is marked as +.>The average value of the vertical coordinates of the first coordinates of all three-dimensional space points in the target non-empty voxel block is marked as +.>Will beThe determined three-dimensional space point is taken as an initial reference point of the target non-empty voxel block.
5. The building construction supervision method based on the BIM technology according to claim 2, wherein the obtaining the influence coefficient of each non-empty voxel block on other voxel blocks according to the initial reference point, the voxel block and the normal direction includes the following specific steps:
marking a set formed by all voxel blocks of the point cloud data as a voxel block set, and marking any voxel block except a target non-empty voxel block in the voxel block set as a first voxel block;
in the method, in the process of the invention,for the number of three-dimensional space points in the target non-empty voxel block, < >>The specific acquisition method of (1) is as follows: intra-target non-empty voxel block +.>The normal direction corresponding to the three-dimensional space points is marked as a first direction; intra-target non-empty voxel block +.>The three-dimensional space points point to the direction of the initial datum point of the first body block and are marked as a second direction; the angle between the first direction and the second direction is marked as +.>；/>To take absolute value, +.>For the +.>Euclidean distance between three-dimensional space points and initial reference point of first voxel block, < ->And the influence coefficient of the target non-empty voxel block on the first voxel block.
6. The building construction supervision method based on the BIM technology according to claim 5, wherein the obtaining the final reference point of each voxel block according to the influence coefficient and the initial reference point includes the following specific steps:
taking an initial datum point of a first voxel block as a center, and acquiring a space domain asExcept for all non-empty voxel blocks of the first voxel block in the size range, the spatial domain is +.>Is denoted as the set of non-empty voxel blocks of the first voxel block, & lt/EN & gt>For a preset first numerical value, marking any one non-empty voxel block in a non-empty voxel block set of the first voxel block as a first non-empty voxel block; performing linear normalization processing on the influence coefficients of all non-empty voxel blocks on other voxel blocks, and marking the normalization result of the influence coefficients of the first non-empty voxel block on the first voxel block as +.>The method comprises the steps of carrying out a first treatment on the surface of the The coordinates of the initial reference point of the first non-empty voxel block are recorded as +.>The method comprises the steps of carrying out a first treatment on the surface of the The coordinates of the initial reference point of the first voxel block are noted +.>The method comprises the steps of carrying out a first treatment on the surface of the Will->The difference of (2) is recorded as->The method comprises the steps of carrying out a first treatment on the surface of the Will beThe determined coordinates are marked as the reference coordinates of the first voxel block and the first non-empty voxel block, the reference coordinates of each non-empty voxel block in a non-empty voxel block set of the first voxel block and the first voxel block are obtained, and the average value of the abscissa coordinates of the reference coordinates of all non-empty voxel blocks in the non-empty voxel block set of the first voxel block and the first voxel block is marked as +.>The mean value of the ordinate of the reference coordinates of all non-empty voxel blocks in the non-empty voxel block set of the first voxel block and the first voxel block is marked as +.>The mean value of the vertical coordinates of the reference coordinates of all non-empty voxel blocks in the non-empty voxel block set of the first voxel block and the first voxel block is marked as +.>Will->The determined three-dimensional space point is used as a final reference point of the first voxel block.
7. The building construction supervision method based on the BIM technology according to claim 1, wherein the building BIM model of the building construction according to the final datum point comprises the following specific steps:
and removing the voxel blocks of which the final reference points are not in the corresponding voxel blocks, reserving the voxel blocks of which the final reference points are in the corresponding voxel blocks, and constructing a BIM model of the building construction according to the final reference points of all reserved voxel blocks.
8. The building construction supervision method based on the BIM technology according to claim 1, wherein the dividing the point cloud data to obtain a plurality of voxel blocks of the point cloud data comprises the following specific steps:
presetting a reference voxel block, wherein the reference voxel block is a cube; and equally dividing the point cloud data according to the reference voxel blocks to obtain a plurality of voxel blocks of the point cloud data.
9. The building construction supervision method based on the BIM technology according to claim 1, wherein the steps of obtaining a plurality of empty voxel blocks and a plurality of non-empty voxel blocks of the point cloud data according to the voxel blocks include the following specific steps:
and marking the voxel blocks which do not contain the three-dimensional space points in the voxel blocks as empty voxel blocks of the point cloud data, and marking the voxel blocks which contain the three-dimensional space points in the voxel blocks as non-empty voxel blocks of the point cloud data.
10. The building construction supervision method based on the BIM technology according to claim 1, wherein the collecting of the point cloud data of the building construction comprises the following specific steps:
and scanning the building by a laser scanner to obtain the point cloud data of the building.
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