CN117726625A - Building component assembly quality control method and system based on point cloud wire frame constraint - Google Patents
Building component assembly quality control method and system based on point cloud wire frame constraint Download PDFInfo
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Abstract
The invention discloses a method and a system for controlling the splicing quality of building components based on point cloud wire frame constraint, and relates to the technical field of data processing, wherein the method comprises the following steps: collecting laser point cloud data of a plurality of building components in the assembled building after assembly, and obtaining a plurality of laser point cloud data sets through repeated collection; constructing a plurality of wire frame constraints; obtaining a plurality of first component wire frame sets and a plurality of second component wire frame sets; obtaining a plurality of third component wire frames; analyzing to obtain a plurality of natural component wire frames; performing component compliance analysis to obtain a plurality of component quality information; and calculating to obtain the quality information of the assembled building by combining the assembly quality information of the assembled building, and performing assembly quality control. The invention solves the technical problems that the number of assembled building components is large and the building assembly quality cannot be efficiently controlled by combining the actual splicing condition in the prior art, and achieves the technical effect of improving the fitting degree of the building component assembly quality control and the actual condition.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a system for controlling the splicing quality of building components based on point cloud wire frame constraint.
Background
When the assembled building is constructed, the splicing quality of each building component has very important influence on the overall building quality of the assembled building. Therefore, the assembly quality of the building components needs to be deeply analyzed, and at present, all links in the construction process are managed and controlled, and the assembled components are subjected to size measurement by staff to obtain an assembly quality result. There are also methods of using modeling to control the quality of assembled building components, however, because the number of assembled building components is numerous, and because the damage in the assembly process causes the component shape to change, the condition of capturing components that cannot be refined in the modeling is analyzed, the appearance of the components is analyzed singly, and the analysis result is not matched with the actual result, so that the assembly quality of the building components cannot meet the requirement. The prior art has the technical problems that the number of assembled building components is large, and the building assembly quality cannot be efficiently controlled by combining the actual splicing condition.
Disclosure of Invention
The application provides a quality control method and a system for building component assembly based on point cloud wire frame constraint, which are used for solving the technical problem that the quantity of assembled building components in the prior art is large, and the quality of building assembly cannot be efficiently controlled by combining the actual splicing condition.
In view of the above problems, the application provides a method and a system for controlling the assembly quality of building components based on point cloud wire frame constraint.
In a first aspect of the present application, a method for controlling quality of assembly of building elements based on point cloud wire frame constraint is provided, the method comprising:
collecting laser point cloud data of a plurality of building components in the assembled building after assembly, and obtaining a plurality of laser point cloud data sets through repeated collection;
acquiring CAD wire frame data of the plurality of building components, and constructing a plurality of wire frame constraints by combining historical detection data of the plurality of building components;
according to the wire frame constraints, constraint is carried out based on the laser point cloud data sets, a plurality of first component wire frame sets are obtained through straight line fitting, and a plurality of second component wire frame sets are obtained through training fitting;
collecting image data of the plurality of building components, and analyzing and extracting component wire frames to obtain a plurality of third component wire frames;
analyzing and obtaining a plurality of linear component wire frames according to the plurality of first component wire frame sets and analyzing and obtaining a plurality of natural component wire frames according to the plurality of second component wire frame sets and a plurality of third component wire frames;
Performing component compliance analysis on the plurality of natural component wire frames based on CAD wire frame data of the plurality of building components to obtain a plurality of component quality information;
and acquiring CAD wire frame data of the assembled building, analyzing and acquiring assembly quality information of the assembled building according to the plurality of linear member wire frames, combining the plurality of member quality information, calculating and acquiring the quality information of the assembled building, and performing assembly quality control.
In a second aspect of the present application, there is provided a construction element assembly quality control system based on point cloud wire frame constraints, the system comprising:
the point cloud data set acquisition module is used for acquiring laser point cloud data of a plurality of building components in the assembled building after assembly, and acquiring a plurality of laser point cloud data sets through multiple acquisition;
the wire frame constraint module is used for acquiring CAD wire frame data of the plurality of building components and combining historical detection data of the plurality of building components to construct a plurality of wire frame constraints;
a second component wire frame set obtaining module, configured to obtain a plurality of first component wire frame sets through straight line fitting and obtain a plurality of second component wire frame sets through training fitting, where the second component wire frame sets are constrained based on the plurality of laser point cloud data sets according to the plurality of wire frame constraints;
The third component wire frame obtaining module is used for collecting image data of the plurality of building components, analyzing and extracting the component wire frames and obtaining a plurality of third component wire frames;
a natural component wire frame obtaining module, configured to obtain a plurality of linear component wire frames according to the plurality of first component wire frame sets, and obtain a plurality of natural component wire frames according to the plurality of second component wire frame sets and the plurality of third component wire frames;
the component quality information obtaining module is used for carrying out component compliance analysis on the plurality of natural component wire frames based on CAD wire frame data of the plurality of building components to obtain a plurality of component quality information;
and the assembly quality control module is used for acquiring CAD wire frame data of the assembled building, analyzing and acquiring assembly quality information of the assembled building according to the plurality of linear member wire frames, combining the plurality of member quality information, calculating and acquiring the quality information of the assembled building, and performing assembly quality control.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the method, laser point cloud data of a plurality of building components in an assembled building are acquired, a plurality of laser point cloud data sets are acquired through multiple acquisition, CAD wire frame data of the plurality of building components are acquired, historical detection data of the plurality of building components are combined, a plurality of wire frame constraints are constructed, further, constraint is conducted on the basis of the plurality of laser point cloud data sets according to the plurality of wire frame constraints, a plurality of first component wire frame sets are acquired through straight line fitting, a plurality of second component wire frame sets are acquired through training fitting, image data of the plurality of building components are acquired, component wire frame analysis extraction is conducted, a plurality of third component wire frames are acquired, then according to the plurality of first component wire frame sets, a plurality of straight line component wire frames are acquired through analysis, a plurality of natural component wire frames are acquired through analysis, component compliance analysis is conducted on the plurality of natural component wire frames on the basis of CAD wire frame data of the plurality of building components, a plurality of component quality control information is acquired, assembly quality control and assembly quality control information is calculated according to the plurality of straight line component wire frames. The technical effect of improving the fitting degree of the assembly quality control and actual conditions of the building components is achieved.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for controlling quality of building component assembly based on point cloud wire frame constraint according to an embodiment of the present application;
fig. 2 is a schematic flow chart of obtaining a plurality of wire frame constraints in a method for controlling quality of building component assembly based on point cloud wire frame constraints according to an embodiment of the present application;
fig. 3 is a schematic flow chart of obtaining a plurality of third component wire frames in a method for managing and controlling the assembly quality of building components based on constraint of point cloud wire frames according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a construction member assembly quality control system based on point cloud wire frame constraint according to an embodiment of the present application.
Reference numerals illustrate: the system comprises a point cloud data set obtaining module 11, a wire frame constraint module 12, a second component wire frame set obtaining module 13, a third component wire frame obtaining module 14, a natural component wire frame obtaining module 15, a component quality information obtaining module 16 and an assembly quality control module 17.
Detailed Description
The application provides a quality control method and a system for building component assembly based on point cloud wire frame constraint, which are used for solving the technical problem that the quantity of assembled building components in the prior art is large, and the quality of building assembly cannot be efficiently controlled by combining the actual splicing condition.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present application based on the embodiments herein.
It should be noted that the terms "comprises" and "comprising," along with any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus, but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
As shown in fig. 1, the present application provides a method for controlling quality of building element assembly based on point cloud wire frame constraint, wherein the method includes:
s100: collecting laser point cloud data of a plurality of building components in the assembled building after assembly, and obtaining a plurality of laser point cloud data sets through repeated collection;
in the embodiment of the application, a laser scanner is utilized to perform laser scanning on a plurality of building components (such as steel structural components, concrete components, wall boards, roof components, built-in components and the like) in the assembled building, so as to determine point cloud data on the surfaces of the building components, wherein the laser point cloud data comprises information such as geometric shapes, spatial positions and the like of the components. And acquiring a plurality of building components in the assembled building for multiple times, so as to obtain a plurality of laser point cloud data sets. The plurality of laser point cloud data sets are in one-to-one correspondence with a plurality of building elements for describing the geometry of the plurality of building elements and the spatial location within the assembled building. By acquiring a plurality of laser point cloud data sets, basic analysis data support is provided for subsequent construction member assembling quality control, so that the data source reliability of assembling quality control is improved, and the technical effect of assembling quality is further ensured.
S200: acquiring CAD wire frame data of the plurality of building components, and constructing a plurality of wire frame constraints by combining historical detection data of the plurality of building components;
further, as shown in fig. 2, the step S200 of the embodiment of the present application further includes:
acquiring a plurality of historical component wire frame sets based on historical detection data of a plurality of same family building components of the plurality of building components;
calculating to obtain a plurality of component wire frame deviation expectations based on the plurality of historical component wire frame sets and combining CAD wire frame data of the plurality of building components;
and adopting the deviation expectations of the plurality of component wire frames to respectively carry out compensation calculation on CAD wire frame data of the plurality of building components to obtain a plurality of component wire frame constraint ranges, and taking the component wire frames of the plurality of building components not exceeding the plurality of component wire frame constraint ranges as the plurality of wire frame constraints.
In one possible embodiment, the CAD wire frame data is a frame of the plurality of building elements when the elements are designed using CAD, that is, the appearance element state of the plurality of building elements that should be satisfied in an ideal state. And performing tolerance range analysis on CAD wire frame data of the plurality of building components according to the historical detection data of the plurality of building components, thereby determining allowable deviation ranges of the plurality of building components in actual production and assembly, and generating a plurality of wire frame constraints. Wherein the plurality of wireframe constraints are in one-to-one correspondence with CAD wireframe data of the plurality of building elements. By constructing the plurality of wire frame constraints, the goal of providing basis for accuracy when fitting the plurality of laser point cloud data sets according to the CAD wire frame is achieved.
In an embodiment of the present application, component detection data of a plurality of building components of the same family of the plurality of building components in a history splicing process are collected respectively, external geometric shapes of the plurality of building components are extracted from the history detection data, and the plurality of history component wire frame sets are generated. Wherein the plurality of historical component wire frame sets are in one-to-one correspondence with the plurality of building components. Preferably, the plurality of historical component wire frame sets reflect the actual conditions of the plurality of building components in the splicing process, including the conditions of size deviation, angle deviation or occurrence of gaps at the edges of the wire frames. And obtaining a plurality of component wire frame deviation value sets by performing deviation calculation according to the plurality of historical component wire frame sets and CAD wire frame data of a plurality of building components. The deviation values of the plurality of component wire frames reflect deviation distribution conditions of the CAD wire frames of the plurality of building components when the CAD wire frames are actually spliced. Further, a mean value calculation is performed on the plurality of sets of component wire frame deviation values, thereby obtaining the plurality of component wire frame deviation expectations. Wherein the plurality of component wire frame deviations desirably reflect an average level of deviation when CAD wire frames of the plurality of building components are actually spliced. And respectively carrying out compensation calculation on the CAD wire frame data of the plurality of building components by utilizing the wire frame deviation expectations of the plurality of building components, and optionally, taking the wire frame deviation expectations of the plurality of building components as a difference value and taking the CAD wire frame data of the plurality of building components as constraints from lower than the difference value and higher than the difference value to obtain the constraint range of the plurality of building components. Therefore, the aim of restricting the range which needs to be met by the CAD wire frame data of the plurality of building components according to the actual splicing condition is fulfilled. Then, the component wire frames of the plurality of building components do not exceed the constraint range of the plurality of component wire frames, and the component wire frames are used as the constraint of the plurality of wire frames, so that the technical effects of improving the fitting degree of the constraint of the wire frames and the actual conditions and improving the accuracy of the management and control of the assembled quality are achieved.
S300: according to the wire frame constraints, constraint is carried out based on the laser point cloud data sets, a plurality of first component wire frame sets are obtained through straight line fitting, and a plurality of second component wire frame sets are obtained through training fitting;
further, according to the plurality of wire frame constraints, constraint is performed based on the plurality of laser point cloud data sets, and a plurality of first member wire frame sets are obtained through straight line fitting, and step S300 of the embodiment of the present application further includes:
randomly generating a fitting component wire frame under the constraint of a first wire frame by straight line fitting based on first laser point cloud data of a first building component in the plurality of laser point cloud data sets;
compensating the fitting component wire frame by adopting a preset distance to obtain a fitting component wire frame range, and obtaining the number of the point clouds in the first laser point cloud data falling into the fitting component wire frame range to obtain a first falling point cloud number;
randomly generating fitting component wire frames again, and acquiring the number of second falling point clouds;
fitting the component wire frames of the first building component continuously until the preset fitting times are reached, and outputting the fitting component wire frames with the largest number of falling point clouds to obtain the component wire frames of the first building component;
And continuing to restrict based on the plurality of laser point cloud data sets according to the plurality of wire frame restrictions, and obtaining the plurality of first component wire frame sets through straight line fitting.
Further, by training the fitting, a plurality of second member wire frame sets are obtained, and step S300 of the embodiment of the present application further includes:
acquiring a sample laser point cloud data set and acquiring a sample second component wire frame set, wherein each sample second component wire frame comprises a linear wire frame or an irregular wire frame;
constructing a wire frame fitting channel by adopting the sample laser point cloud data set and a sample second component wire frame set;
and constraining the plurality of laser point cloud data sets by adopting the plurality of wire frame constraints, inputting the laser point cloud data falling into the plurality of wire frame constraints into the wire frame fitting channel, and fitting to obtain the second component wire frame set.
In one possible embodiment, according to the plurality of wire frame constraints, the wire frames obtained after the plurality of laser point cloud data sets are fitted into a straight line are optimally adjusted, so that the laser point cloud data are fully utilized, and a plurality of first member wire frame sets which meet the practical situation are obtained. Further, the plurality of laser point cloud data sets are analyzed from the dimension of training intelligent fitting, and a reliable plurality of second component wire frame sets are obtained from the dimension of straight line and curve fitting. The method and the device realize the aim of providing reliable basis for the subsequent analysis of the assembly quality of a plurality of building components, and achieve the technical effect of improving the analysis accuracy on the basis of improving the analysis efficiency.
In one embodiment, a straight line fitting is performed using first laser point cloud data of a first building element within the plurality of laser point cloud data sets, and a fitted element wireframe is randomly generated from point clouds in the plurality of first laser point cloud data under a first wireframe constraint. Preferably, the fitting member wire frame is a straight line. The preset distance is a deviation value of laser point clouds at the edge when a person skilled in the art sets the building member to perform laser scanning by himself. And taking the fitting component wire frame as a reference, acquiring an area which is a preset distance from the fitting component wire frame as a fitting component wire frame range, and then counting the number of the data of the point clouds in the first laser point cloud data falling into the fitting wire frame range, and taking the number of the data as a first falling point cloud number. And then, carrying out straight line fitting on the first laser point cloud data again, randomly generating a fitting component wire frame, counting the number of the point clouds falling in the area range which is the preset distance away from the fitting component wire frame, and taking the number of the point clouds falling in as a second falling point cloud number. And fitting the member wire frames of the first building member for a plurality of times, and taking the fitting member wire frame with the largest number of the falling point clouds as the member wire frame of the first building member after the preset fitting times are met. The component wire frame of the first building component is a wire frame capable of covering the most point cloud data, namely the wire frame capable of reflecting the edge condition of the first building component. Further, the point cloud data in the plurality of laser point cloud data sets are respectively subjected to straight line fitting according to the plurality of wire frame constraints, and a plurality of first member wire frame sets are obtained.
In one embodiment, a sample laser point cloud data set is obtained, wherein the sample laser point cloud data set is a data set after laser scanning of a component of the same type as a plurality of building components, and a corresponding sample second component wireframe set is obtained. Wherein each sample second component wire frame comprises a straight wire frame or an irregular wire frame, that is, each sample component wire frame comprises data reflecting irregular edges of the building component. The wire frame fitting channel is used for intelligently outputting the component wire frames according to the laser point cloud data set, wherein input data are the laser point cloud data set, and output data are the second component wire frame set. And performing supervised training on a network layer constructed based on a feedforward neural network by taking the sample laser point cloud data set and the sample second component wire frame set as training data until output reaches convergence, thereby obtaining the wire frame fitting channel after training is completed. And utilizing the wire frame constraints to perform data screening on the laser point cloud data sets, removing unsatisfied data, and inputting only laser point cloud data falling into the wire frame constraints into the wire frame fitting channel, so as to obtain the second component wire frame set. The technical effects of reducing analysis data, reducing workload, improving analysis efficiency and improving accuracy of assembly quality analysis for subsequent assembly quality analysis are achieved.
S400: collecting image data of the plurality of building components, and analyzing and extracting component wire frames to obtain a plurality of third component wire frames;
further, as shown in fig. 3, image data of the plurality of building components are collected, component wire frame analysis and extraction are performed, and a plurality of third component wire frame sets are obtained, where step S400 further includes:
acquiring a plurality of sample component image sets based on a plurality of sample building component categories, and acquiring a plurality of sample third component wire frame sets;
respectively adopting the plurality of sample component image sets and a plurality of sample third component wire frame sets to construct a plurality of image wire frame analysis branches to obtain an image wire frame analysis channel;
inputting image data of the plurality of building elements into the image wire frame analysis channel to obtain the plurality of third element wire frames.
In the embodiment of the application, three-dimensional image acquisition is performed on a plurality of building components by using a stereo camera, and a component wire frame is obtained by extracting edges of the obtained image, at this time, since the image can directly reflect the edge condition of the building components, the obtained plurality of third component wire frames can reflect the edge curves of the building components, such as curves caused by the occurrence of gaps on the edges of the components. The dimension of image acquisition and analysis is achieved, the line frame analysis is carried out on a plurality of building components, and the technical effect of improving the reliability of assembly quality control is achieved.
In one embodiment, corresponding sets of sample building element images are extracted from the internet of things according to the plurality of sample building element categories. Optionally, the plurality of sample building element categories cover categories of the plurality of building elements, including categories of steel structural elements, concrete elements, wall panels, roofing elements, and the like. Further, the edge contours of the plurality of sample building elements corresponding to the plurality of sample element image sets are extracted by a worker, thereby obtaining the plurality of sample third element wire frame sets. And further, respectively constructing data based on a plurality of sample component image sets and a plurality of corresponding sample third component wire frames, training a plurality of image wire frame analysis branches constructed based on the convolutional neural network, and continuously updating and adjusting network parameters of the plurality of image wire frame analysis branches according to the training output result in the training process so as to enable the output to achieve convergence. After a plurality of convergent image wire frame analysis branches are obtained, the plurality of image wire frame analysis branches are fully connected in parallel, so that the image wire frame analysis channel is obtained. The technical effect of carrying out parallel line frame extraction processing on different types of building components and improving the processing efficiency on the basis of ensuring the extraction accuracy is achieved. Further, the image data of the plurality of building elements are respectively input into corresponding image wire frame analysis branches in the image wire frame analysis channel, intelligent wire frames which are subjected to the branches are extracted, and the plurality of third element wire frames are obtained according to the extraction results.
S500: analyzing and obtaining a plurality of linear component wire frames according to the plurality of first component wire frame sets and analyzing and obtaining a plurality of natural component wire frames according to the plurality of second component wire frame sets and a plurality of third component wire frames;
further, according to the first member wire frame sets, analyzing to obtain a plurality of linear member wire frames, and according to the second member wire frame sets and the third member wire frames, analyzing to obtain a plurality of natural member wire frames, step S500 in the embodiment of the present application further includes:
respectively extracting the component wire frames with the largest occurrence ratio according to the plurality of first component wire frame sets to obtain a plurality of linear component wire frames;
respectively extracting the component wire frames with the largest occurrence ratio according to the plurality of second component wire frame sets to obtain a plurality of second component wire frames;
and carrying out weighted calculation on coordinate values of a plurality of wire frame points in the second component wire frames and the third component wire frames to obtain a plurality of natural component wire frames.
In the embodiment of the application, the linear wire frames corresponding to the building components are determined according to the first component wire frame sets to obtain the linear component wire frames, and then the wire frames comprising curves are determined according to the second component wire frame sets and the third component wire frames to obtain the natural component wire frames corresponding to the linear component wire frames, so that analysis is performed from multiple directions, and the technical effect of improving the reliability of assembly quality analysis is achieved.
In one embodiment, from the plurality of first member wire frame sets, a plurality of linear member wire frames are generated for the member wire frame with the highest frequency of occurrence and the largest ratio in each first member wire frame set as the linear member wire frame that most represents the plurality of building members. Further, according to the plurality of second member wire frames, the member wire frame having the highest frequency of occurrence is set as the second member wire frame, thereby obtaining a plurality of second member wire frames corresponding to the plurality of building members. Preferably, the plurality of second member wire frames and the plurality of third member wire frames are each wire frames including a curved edge, and therefore, the plurality of natural member wire frames are obtained by performing one-to-one correspondence between the plurality of second member wire frames and the plurality of third member wire frames based on the building members corresponding to the plurality of second member wire frames and the plurality of third member wire frames, and performing weight calculation on coordinate values of the plurality of wire frame points according to weights set by those skilled in the art.
S600: performing component compliance analysis on the plurality of natural component wire frames based on CAD wire frame data of the plurality of building components to obtain a plurality of component quality information;
further, based on CAD wire frame data of the plurality of building elements, element compliance analysis is performed on the plurality of natural element wire frames to obtain a plurality of element quality information, and step S600 in the embodiment of the present application further includes:
Acquiring a sample CAD wire frame data set, acquiring a sample natural member wire frame set, and analyzing to obtain a sample member quality information set;
constructing a component compliance analysis channel by adopting the sample CAD wire frame data set, the sample natural component wire frame set and the sample component quality information set;
and analyzing the CAD wire frame data of the plurality of building components and the plurality of natural component wire frames according to the compliance analysis channel to obtain the plurality of component quality information.
In one possible embodiment, the CAD wire frame data of the plurality of building elements is standard wire frame data of the plurality of building elements when not damaged, and based thereon, the plurality of natural element wire frames that may include edge curves generated due to damage to the building elements are subjected to compliance analysis, and the size and shape quality of the building elements are analyzed, thereby obtaining the plurality of element quality information. Wherein the plurality of member quality information reflects the quality condition of the plurality of building members after being assembled.
Preferably, the sample CAD wire frame data set is generated by obtaining standard CAD wire frame data corresponding to a sample building element comprising a plurality of building element categories, whereby the sample building element obtains a corresponding sample natural element wire frame set. The sample natural component wire frame set reflects the situation that the sample building components are assembled, and the frame situation of the curve travel caused by the actual situation after the components are damaged due to the assembly is considered. Furthermore, based on the sample CAD wire frame data set and the sample natural component wire frame set, the influence condition of the actually spliced frame data and the standard CAD frame data on the component quality is analyzed by using a person skilled in the art, so that a plurality of component quality information is obtained. Preferably, the sample CAD wire frame data set, the sample natural member wire frame set and the sample member quality information set are used as training sample data, the training sample data is divided into n pieces, each piece of training sample data is used to supervise and train a network layer constructed based on the convolutional neural network, and parameters of the network layer trained by the next piece of training sample data are updated according to the training result of the last piece of training sample data until the output reaches convergence, so as to obtain the member compliance analysis channel. The component compliance analysis channel is used for intelligently analyzing the component quality reflected by the plurality of natural component wire frames. And inputting CAD wire frame data of the plurality of building components and a plurality of natural component wire frames into the compliance analysis channel, and obtaining the plurality of component quality information after analysis.
S700: and acquiring CAD wire frame data of the assembled building, analyzing and acquiring assembly quality information of the assembled building according to the plurality of linear member wire frames, combining the plurality of member quality information, calculating and acquiring the quality information of the assembled building, and performing assembly quality control.
Further, CAD wire frame data of the assembled building is obtained, according to the plurality of linear member wire frames, the assembly quality information of the assembled building is obtained by analyzing, and the quality information of the assembled building is obtained by calculating in combination with the plurality of member quality information, and step S700 in the embodiment of the present application further includes:
acquiring a sample building CAD wire frame data set of a similar assembled building, and acquiring a plurality of sample linear member wire frame sets and a sample assembly quality information set;
constructing an assembly quality analysis channel by adopting the sample building CAD wire frame data set, the plurality of sample linear member wire frame sets and the sample assembly quality information set;
according to the assembly quality analysis channel, CAD wire frame data and a plurality of linear member wire frames of the assembly building are analyzed to obtain assembly quality information;
and carrying out weighted calculation on the assembly quality information and the quality information of the plurality of components to obtain the quality information of the assembled building.
In the embodiment of the application, the CAD wire frame data of the assembled building reflects the quality that the assembled building can reach after the assembled building is assembled in an ideal state, and the plurality of linear member wire frames reflect the assembly condition of the plurality of building members after the assembled building is actually assembled. And comparing and analyzing the CAD wire frame data with a plurality of linear member wire frames to obtain assembly quality information reflecting the assembly quality condition of the assembled building after assembly. And carrying out quality analysis on the basis of the quality information of the plurality of components and the assembly quality information from the assembly condition of the building components and the quality condition of the integrally assembled building components respectively to obtain the quality information of the assembled building. And performing assembly quality control according to the quality information of the assembled building. The technical effects of multidimensional assembling quality analysis and quality control reliability improvement are achieved.
In one embodiment, a sample building CAD wire frame data set of a similar building of the same class as the building is obtained, and a plurality of sample straight line member wire frame sets and sample assembly quality information sets corresponding to the same are obtained. And training a network layer constructed based on the feedforward neural network by utilizing the sample building CAD wire frame data set, the plurality of sample linear member wire frame sets and the sample assembly quality information set, and updating super parameters of the network layer according to training results in the training process to enable the training output result of the network layer to achieve convergence, so that the assembly quality analysis channel with the training completed is obtained. Preferably, the sample assembly quality information set is obtained by analyzing dimensions such as whether an assembly gap is qualified after the similar assembled building is spliced, whether a plurality of sample building components are parallel or not, whether a splicing angle meets requirements or not, and the like, which are reflected by a sample building CAD wire frame data set and a plurality of sample linear component wire frame sets by a person in the field. And inputting CAD wire frame data of the assembled building and a plurality of linear member wire frames into the assembly quality analysis channel for intelligent analysis, so as to obtain assembly quality information. And carrying out weighted calculation on the assembly quality information and the quality information of the plurality of components according to the preset weight ratio, thereby obtaining the quality information of the assembled building.
In summary, the embodiments of the present application have at least the following technical effects:
according to the method, laser point cloud data of a plurality of building components in an assembled building are acquired through acquisition, a plurality of laser point cloud data sets are acquired through multiple acquisition, then CAD wire frame data of the plurality of building components are acquired, historical detection data of the plurality of building components are combined, a plurality of wire frame constraints are constructed, the purpose of providing constraints for construction of subsequent wire frames is achieved, the purpose of improving the reliability of the wire frames is achieved, then the constraint is carried out according to the plurality of wire frame constraints based on the plurality of laser point cloud data sets, a plurality of first component wire frame sets which are straight lines are obtained through straight line fitting, and a plurality of second component wire frame sets which comprise curves are acquired through training fitting, then image data of the plurality of building components are acquired, component wire frame analysis extraction is carried out, a plurality of third component wire frames are obtained, wire frame extraction is carried out from dimensions of images, the purpose of improving the reliability of the wire frames is achieved, a plurality of straight line component wire frames are obtained through analysis according to the plurality of first component wire frame sets, a plurality of wire frame quality control information is obtained according to the plurality of second component wire frame sets and a plurality of wire frame wire frames, a plurality of CAD wire frames are combined, assembly quality of building component quality is calculated, and then, assembly quality of the assembly is improved, and assembly quality of the assembly is achieved. The technical effects of extracting the component wire frames from multiple dimensions, analyzing the splicing quality of building components of an assembled building according to the extracted different types of wire frames, improving the fitting degree of the splicing quality control and the actual splicing condition and improving the control accuracy are achieved.
Example two
Based on the same inventive concept as the building element assembling quality control method based on the point cloud wire frame constraint in the foregoing embodiment, as shown in fig. 4, the present application provides a building element assembling quality control system based on the point cloud wire frame constraint, and the system and method embodiments in the embodiments of the present application are based on the same inventive concept. Wherein the system comprises:
the point cloud data set obtaining module 11 is used for collecting laser point cloud data of a plurality of building components in the assembled building after assembly, and obtaining a plurality of laser point cloud data sets through multiple collection;
a wire frame constraint module 12 for acquiring CAD wire frame data of the plurality of building elements and constructing a plurality of wire frame constraints in combination with historical detection data of the plurality of building elements;
a second component wire frame set obtaining module 13, configured to obtain a plurality of first component wire frame sets by straight line fitting and obtain a plurality of second component wire frame sets by training fitting, based on the plurality of laser point cloud data sets, according to the plurality of wire frame constraints;
a third component wire frame obtaining module 14, configured to collect image data of the plurality of building components, perform component wire frame analysis and extraction, and obtain a plurality of third component wire frames;
A natural component wire frame obtaining module 15, configured to obtain a plurality of linear component wire frames according to the plurality of first component wire frame sets, and obtain a plurality of natural component wire frames according to the plurality of second component wire frame sets and the plurality of third component wire frames;
a component quality information obtaining module 16 for obtaining a plurality of component quality information by performing component compliance analysis on the plurality of natural component wire frames based on CAD wire frame data of the plurality of building components;
and the assembly quality control module 17 is used for acquiring CAD wire frame data of the assembled building, analyzing and obtaining assembly quality information of the assembled building according to the plurality of linear member wire frames, combining the plurality of member quality information, calculating and obtaining the quality information of the assembled building, and performing assembly quality control.
Further, the wire frame constraint module 12 is configured to perform the following steps:
acquiring a plurality of historical component wire frame sets based on historical detection data of a plurality of same family building components of the plurality of building components;
calculating to obtain a plurality of component wire frame deviation expectations based on the plurality of historical component wire frame sets and combining CAD wire frame data of the plurality of building components;
And adopting the deviation expectations of the plurality of component wire frames to respectively carry out compensation calculation on CAD wire frame data of the plurality of building components to obtain a plurality of component wire frame constraint ranges, and taking the component wire frames of the plurality of building components not exceeding the plurality of component wire frame constraint ranges as the plurality of wire frame constraints.
Further, the second component wire frame set obtaining module 13 is configured to perform the following steps:
randomly generating a fitting component wire frame under the constraint of a first wire frame by straight line fitting based on first laser point cloud data of a first building component in the plurality of laser point cloud data sets;
compensating the fitting component wire frame by adopting a preset distance to obtain a fitting component wire frame range, and obtaining the number of the point clouds in the first laser point cloud data falling into the fitting component wire frame range to obtain a first falling point cloud number;
randomly generating fitting component wire frames again, and acquiring the number of second falling point clouds;
fitting the component wire frames of the first building component continuously until the preset fitting times are reached, and outputting the fitting component wire frames with the largest number of falling point clouds to obtain the component wire frames of the first building component;
and continuing to restrict based on the plurality of laser point cloud data sets according to the plurality of wire frame restrictions, and obtaining the plurality of first component wire frame sets through straight line fitting.
Further, the second component wire frame set obtaining module 13 is configured to perform the following steps:
acquiring a sample laser point cloud data set and acquiring a sample second component wire frame set, wherein each sample second component wire frame comprises a linear wire frame or an irregular wire frame;
constructing a wire frame fitting channel by adopting the sample laser point cloud data set and a sample second component wire frame set;
and constraining the plurality of laser point cloud data sets by adopting the plurality of wire frame constraints, inputting the laser point cloud data falling into the plurality of wire frame constraints into the wire frame fitting channel, and fitting to obtain the second component wire frame set.
Further, the third component wire frame obtaining module 14 is configured to perform the following steps:
acquiring a plurality of sample component image sets based on a plurality of sample building component categories, and acquiring a plurality of sample third component wire frame sets;
respectively adopting the plurality of sample component image sets and a plurality of sample third component wire frame sets to construct a plurality of image wire frame analysis branches to obtain an image wire frame analysis channel;
inputting image data of the plurality of building elements into the image wire frame analysis channel to obtain the plurality of third element wire frames.
Further, the natural component wire frame obtaining module 15 is configured to perform the following steps:
respectively extracting the component wire frames with the largest occurrence ratio according to the plurality of first component wire frame sets to obtain a plurality of linear component wire frames;
respectively extracting the component wire frames with the largest occurrence ratio according to the plurality of second component wire frame sets to obtain a plurality of second component wire frames;
and carrying out weighted calculation on coordinate values of a plurality of wire frame points in the second component wire frames and the third component wire frames to obtain a plurality of natural component wire frames.
Further, the component mass information obtaining module 16 is configured to perform the following steps:
acquiring a sample CAD wire frame data set, acquiring a sample natural member wire frame set, and analyzing to obtain a sample member quality information set;
constructing a component compliance analysis channel by adopting the sample CAD wire frame data set, the sample natural component wire frame set and the sample component quality information set;
and analyzing the CAD wire frame data of the plurality of building components and the plurality of natural component wire frames according to the compliance analysis channel to obtain the plurality of component quality information.
Further, the assembly quality control module 17 is configured to perform the following steps:
Acquiring a sample building CAD wire frame data set of a similar assembled building, and acquiring a plurality of sample linear member wire frame sets and a sample assembly quality information set;
constructing an assembly quality analysis channel by adopting the sample building CAD wire frame data set, the plurality of sample linear member wire frame sets and the sample assembly quality information set;
according to the assembly quality analysis channel, CAD wire frame data and a plurality of linear member wire frames of the assembly building are analyzed to obtain assembly quality information;
and carrying out weighted calculation on the assembly quality information and the quality information of the plurality of components to obtain the quality information of the assembled building.
It should be noted that the sequence of the embodiments of the present application is merely for description, and does not represent the advantages and disadvantages of the embodiments. And the foregoing description has been directed to specific embodiments of this specification. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The foregoing description of the preferred embodiments of the present application is not intended to limit the invention to the particular embodiments of the present application, but to limit the scope of the invention to the particular embodiments of the present application.
The specification and drawings are merely exemplary of the application and are to be regarded as covering any and all modifications, variations, combinations, or equivalents that are within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and the equivalents thereof, the present application is intended to cover such modifications and variations.
Claims (9)
1. The method for controlling the splicing quality of the building components based on the constraint of the point cloud wire frame is characterized by comprising the following steps:
collecting laser point cloud data of a plurality of building components in the assembled building after assembly, and obtaining a plurality of laser point cloud data sets through repeated collection;
acquiring CAD wire frame data of the plurality of building components, and constructing a plurality of wire frame constraints by combining historical detection data of the plurality of building components;
According to the wire frame constraints, constraint is carried out based on the laser point cloud data sets, a plurality of first component wire frame sets are obtained through straight line fitting, and a plurality of second component wire frame sets are obtained through training fitting;
collecting image data of the plurality of building components, and analyzing and extracting component wire frames to obtain a plurality of third component wire frames;
analyzing and obtaining a plurality of linear component wire frames according to the plurality of first component wire frame sets and analyzing and obtaining a plurality of natural component wire frames according to the plurality of second component wire frame sets and a plurality of third component wire frames;
performing component compliance analysis on the plurality of natural component wire frames based on CAD wire frame data of the plurality of building components to obtain a plurality of component quality information;
and acquiring CAD wire frame data of the assembled building, analyzing and acquiring assembly quality information of the assembled building according to the plurality of linear member wire frames, combining the plurality of member quality information, calculating and acquiring the quality information of the assembled building, and performing assembly quality control.
2. The method of claim 1, wherein obtaining CAD wireframe data for the plurality of building elements and constructing a plurality of wireframe constraints in combination with historical inspection data for the plurality of building elements comprises:
Acquiring a plurality of historical component wire frame sets based on historical detection data of a plurality of same family building components of the plurality of building components;
calculating to obtain a plurality of component wire frame deviation expectations based on the plurality of historical component wire frame sets and combining CAD wire frame data of the plurality of building components;
and adopting the deviation expectations of the plurality of component wire frames to respectively carry out compensation calculation on CAD wire frame data of the plurality of building components to obtain a plurality of component wire frame constraint ranges, and taking the component wire frames of the plurality of building components not exceeding the plurality of component wire frame constraint ranges as the plurality of wire frame constraints.
3. The method of claim 1, wherein constraining based on the plurality of laser point cloud data sets according to the plurality of wireframe constraints, obtaining a plurality of first component wireframe sets by straight line fitting, comprises:
randomly generating a fitting component wire frame under the constraint of a first wire frame by straight line fitting based on first laser point cloud data of a first building component in the plurality of laser point cloud data sets;
compensating the fitting component wire frame by adopting a preset distance to obtain a fitting component wire frame range, and obtaining the number of the point clouds in the first laser point cloud data falling into the fitting component wire frame range to obtain a first falling point cloud number;
Randomly generating fitting component wire frames again, and acquiring the number of second falling point clouds;
fitting the component wire frames of the first building component continuously until the preset fitting times are reached, and outputting the fitting component wire frames with the largest number of falling point clouds to obtain the component wire frames of the first building component;
and continuing to restrict based on the plurality of laser point cloud data sets according to the plurality of wire frame restrictions, and obtaining the plurality of first component wire frame sets through straight line fitting.
4. The method of claim 1, wherein obtaining the plurality of second member wireframe sets by training a fit comprises:
acquiring a sample laser point cloud data set and acquiring a sample second component wire frame set, wherein each sample second component wire frame comprises a linear wire frame or an irregular wire frame;
constructing a wire frame fitting channel by adopting the sample laser point cloud data set and a sample second component wire frame set;
and constraining the plurality of laser point cloud data sets by adopting the plurality of wire frame constraints, inputting the laser point cloud data falling into the plurality of wire frame constraints into the wire frame fitting channel, and fitting to obtain the second component wire frame set.
5. The method of claim 1, wherein capturing image data of the plurality of building elements, performing element wireframe analysis extraction to obtain a plurality of third element wireframe sets, comprises:
acquiring a plurality of sample component image sets based on a plurality of sample building component categories, and acquiring a plurality of sample third component wire frame sets;
respectively adopting the plurality of sample component image sets and a plurality of sample third component wire frame sets to construct a plurality of image wire frame analysis branches to obtain an image wire frame analysis channel;
inputting image data of the plurality of building elements into the image wire frame analysis channel to obtain the plurality of third element wire frames.
6. The method of claim 1, wherein analyzing the plurality of linear member wire frames from the plurality of first member wire frame sets and analyzing the plurality of natural member wire frames from the plurality of second member wire frame sets and the plurality of third member wire frames comprises:
respectively extracting the component wire frames with the largest occurrence ratio according to the plurality of first component wire frame sets to obtain a plurality of linear component wire frames;
respectively extracting the component wire frames with the largest occurrence ratio according to the plurality of second component wire frame sets to obtain a plurality of second component wire frames;
And carrying out weighted calculation on coordinate values of a plurality of wire frame points in the second component wire frames and the third component wire frames to obtain a plurality of natural component wire frames.
7. The method of claim 1, wherein performing component compliance analysis on the plurality of natural component wireframes based on CAD wireframe data of the plurality of building components to obtain a plurality of component quality information, comprises:
acquiring a sample CAD wire frame data set, acquiring a sample natural member wire frame set, and analyzing to obtain a sample member quality information set;
constructing a component compliance analysis channel by adopting the sample CAD wire frame data set, the sample natural component wire frame set and the sample component quality information set;
and analyzing the CAD wire frame data of the plurality of building components and the plurality of natural component wire frames according to the compliance analysis channel to obtain the plurality of component quality information.
8. The method of claim 1, wherein obtaining CAD wireframe data of an assembled building, analyzing to obtain assembly quality information of the assembled building based on the plurality of rectilinear member wireframes, and combining the plurality of member quality information to calculate to obtain quality information of the assembled building, comprises:
Acquiring a sample building CAD wire frame data set of a similar assembled building, and acquiring a plurality of sample linear member wire frame sets and a sample assembly quality information set;
constructing an assembly quality analysis channel by adopting the sample building CAD wire frame data set, the plurality of sample linear member wire frame sets and the sample assembly quality information set;
according to the assembly quality analysis channel, CAD wire frame data and a plurality of linear member wire frames of the assembly building are analyzed to obtain assembly quality information;
and carrying out weighted calculation on the assembly quality information and the quality information of the plurality of components to obtain the quality information of the assembled building.
9. A point cloud wireframe constraint-based building element assembly quality control system, the system comprising:
the point cloud data set acquisition module is used for acquiring laser point cloud data of a plurality of building components in the assembled building after assembly, and acquiring a plurality of laser point cloud data sets through multiple acquisition;
the wire frame constraint module is used for acquiring CAD wire frame data of the plurality of building components and combining historical detection data of the plurality of building components to construct a plurality of wire frame constraints;
a second component wire frame set obtaining module, configured to obtain a plurality of first component wire frame sets through straight line fitting and obtain a plurality of second component wire frame sets through training fitting, where the second component wire frame sets are constrained based on the plurality of laser point cloud data sets according to the plurality of wire frame constraints;
The third component wire frame obtaining module is used for collecting image data of the plurality of building components, analyzing and extracting the component wire frames and obtaining a plurality of third component wire frames;
a natural component wire frame obtaining module, configured to obtain a plurality of linear component wire frames according to the plurality of first component wire frame sets, and obtain a plurality of natural component wire frames according to the plurality of second component wire frame sets and the plurality of third component wire frames;
the component quality information obtaining module is used for carrying out component compliance analysis on the plurality of natural component wire frames based on CAD wire frame data of the plurality of building components to obtain a plurality of component quality information;
and the assembly quality control module is used for acquiring CAD wire frame data of the assembled building, analyzing and acquiring assembly quality information of the assembled building according to the plurality of linear member wire frames, combining the plurality of member quality information, calculating and acquiring the quality information of the assembled building, and performing assembly quality control.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11043026B1 (en) * | 2017-01-28 | 2021-06-22 | Pointivo, Inc. | Systems and methods for processing 2D/3D data for structures of interest in a scene and wireframes generated therefrom |
| CN114902289A (en) * | 2019-12-04 | 2022-08-12 | 吉奥尼有限公司 | System and method for modeling structures using point clouds derived from stereo image pairs |
| US20230070615A1 (en) * | 2020-04-23 | 2023-03-09 | Pictometry International Corp. | Systems and methods for automated structure modeling from digital imagery |
| CN116150855A (en) * | 2023-04-04 | 2023-05-23 | 深圳大学 | Building component assembling analysis method and system based on point cloud wire frame constraint |
-
2024
- 2024-02-08 CN CN202410176644.XA patent/CN117726625B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11043026B1 (en) * | 2017-01-28 | 2021-06-22 | Pointivo, Inc. | Systems and methods for processing 2D/3D data for structures of interest in a scene and wireframes generated therefrom |
| CN114902289A (en) * | 2019-12-04 | 2022-08-12 | 吉奥尼有限公司 | System and method for modeling structures using point clouds derived from stereo image pairs |
| US20230070615A1 (en) * | 2020-04-23 | 2023-03-09 | Pictometry International Corp. | Systems and methods for automated structure modeling from digital imagery |
| CN116150855A (en) * | 2023-04-04 | 2023-05-23 | 深圳大学 | Building component assembling analysis method and system based on point cloud wire frame constraint |
Non-Patent Citations (2)
| Title |
|---|
| CLYDE ZHENGDAO LI ET AL.: "The Application of Advanced Information Technologies in Civil Infrastructure Construction and Maintenance", 《SUSTAINABILITY》, 25 June 2022 (2022-06-25), pages 1 - 10 * |
| 万磊 等: "基于CAD线框约束的建筑物三维激光点云建模", 《测绘地理信息》, 31 December 2016 (2016-12-31), pages 1 - 7 * |
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