CN115576281A

CN115576281A - Building assembly method, equipment and medium for improving assembly precision

Info

Publication number: CN115576281A
Application number: CN202211261515.8A
Authority: CN
Inventors: 彭泓越
Original assignee: Shandong Qianyuan Zefu Technology Co ltd
Current assignee: Shandong Qianyuan Zefu Technology Co ltd
Priority date: 2022-10-14
Filing date: 2022-10-14
Publication date: 2023-01-06

Abstract

The embodiment of the specification discloses a building assembly method, equipment and a medium for improving assembly precision, and relates to the technical field of assembly type buildings, wherein the method comprises the following steps: acquiring a building model corresponding to the assembly type building, and determining component information of a plurality of prefabricated components for the assembly type building and a structural relationship between the plurality of prefabricated components based on the building model; generating the component precision of each prefabricated component based on the component parameters of the prefabricated components and the structural relationship between the prefabricated components, so as to determine a specified prefabricated component meeting the requirements in a pre-constructed component library according to the component precision of each prefabricated component; assembling by using the appointed prefabricated parts, and acquiring assembly data of an assembly type building construction site through a plurality of preset data acquisition devices; and analyzing the assembly data to generate actual assembly information, and adjusting the assembly parameters of the specified prefabricated part in the assembly process according to the actual assembly information and the pre-acquired theoretical assembly information.

Description

Building assembly method, equipment and medium for improving assembly precision

Technical Field

The present disclosure relates to the field of assembly building technologies, and in particular, to a building assembly method, a building assembly device, and a building assembly medium for improving assembly accuracy.

Background

With the development of science and technology and the progress of technology, the traditional construction mode cannot meet the requirement of sustainable development, and the industry transformation of the building industry is gradually accelerated. The fabricated building refers to a mode that building components are industrially produced in a factory, then transported to a construction site, and combined and assembled through mechanized and informatization means to form the building. Compared with the traditional building mode, the assembly type building can reduce noise pollution and environmental pollution, and meets the development concepts of energy conservation and environmental protection.

In the assembly process of the assembly type building, the assembly precision is closely related to the quality of the building structure engineering, wherein the selection and the assembly position of the prefabricated component can influence the assembly precision. In general, when prefabricated parts are produced in a factory, there are parameter errors in the component parameters of the same type of prefabricated parts for the current building, and there are differences in the matching degree between the components connected to each other, which may affect the building quality if the two components connected to each other are not matched but assembled. In addition, in the assembly process, the conditions of shaking and the like can occur during assembly under the influence of the environment, so that the assembly position deviation can occur, and the building quality can also be influenced; in addition, in the transportation process or the construction process, the conditions of collision, scraping and the like to the components may occur, so that the parameters of the components are changed, and the final assembly precision and the building quality are also influenced. Therefore, the assembly method of the assembly type building in the prior art does not comprehensively consider multiple stages of the assembly process, and can not ensure the assembly precision.

Disclosure of Invention

One or more embodiments of the present specification provide a building assembling method, apparatus and medium for improving assembling accuracy, which are used to solve the following technical problems: in the assembly method of the assembly type building in the prior art, a plurality of stages of the assembly process are not comprehensively considered, and the assembly precision cannot be ensured.

One or more embodiments of the present specification adopt the following technical solutions:

one or more embodiments of the present specification provide a building assembly method for improving assembly accuracy, the method including: acquiring a building model corresponding to the assembly type building, and determining component information of a plurality of prefabricated components for the assembly type building and a structural relationship between the plurality of prefabricated components based on the building model, wherein the component information comprises component names and component parameters of the prefabricated components; generating the component precision of each prefabricated component based on the component parameters of the prefabricated components and the structural relationship between the prefabricated components, so as to determine a specified prefabricated component meeting the requirements in a pre-constructed component library according to the component precision of each prefabricated component; assembling the specified prefabricated parts, and acquiring assembly data of an assembly type building construction site through a plurality of preset data acquisition devices, wherein the assembly data comprises construction building point cloud data and construction building texture image data under a plurality of angles; analyzing the assembly data to generate actual assembly information, wherein the actual assembly information comprises an actual assembly position of the specified prefabricated part and an actual assembly quality index of the specified prefabricated part; and adjusting the assembly parameters of the specified prefabricated part in the assembly process according to the actual assembly information and the pre-acquired theoretical assembly information.

Optionally, in one or more embodiments of the present specification, before the assembling data of the assembly type building construction site is collected by a preset plurality of data collecting devices, the method further includes: collecting the on-site illumination intensities at a plurality of on-site positions and the off-site illumination intensities at a plurality of off-site positions of the fabricated building construction site at a specified time; determining a plurality of on-site designated locations and a plurality of off-site designated locations among the plurality of on-site locations and the plurality of off-site locations, respectively, based on the on-site illumination intensity and the off-site illumination intensity; arranging laser scanning equipment at each designated position inside the field and each designated position outside the field; presetting shooting parameters of aerial shooting equipment, wherein the shooting parameters comprise a shooting area and equipment height; and determining the shooting range of the aerial equipment based on the shooting parameters of the aerial equipment so as to set the equipment position and the equipment parameters of the ground image acquisition equipment according to the shooting range.

Optionally, in one or more embodiments of the present specification, determining, based on the in-field illumination intensity and the out-of-field illumination intensity, a plurality of in-field designated locations and a plurality of out-of-field designated locations in the plurality of in-field locations and the plurality of out-of-field locations, respectively, specifically includes: presetting a first illumination intensity threshold value and a second illumination intensity threshold value, wherein the first illumination intensity threshold value is the designated illumination intensity in the outdoor environment, and the second illumination intensity threshold value is the preset illumination intensity in the indoor environment; calculating an off-field difference value between the off-field illumination intensity of each off-field position and the first illumination intensity threshold value, and calculating an in-field difference value between the in-field illumination intensity of each in-field position and the second illumination intensity threshold value; determining a designated off-field difference value and a designated on-field difference value within a preset difference value range from the plurality of off-field difference values and the plurality of on-field difference values; determining a designated off-site position corresponding to the designated off-site difference value according to the designated off-site difference value; and determining the position in the designated field corresponding to the difference value in the designated field according to the difference value in the designated field.

Optionally, in one or more embodiments of the present specification, the acquiring, by a plurality of preset data acquiring devices, assembly data of an assembly type building construction site specifically includes: collecting construction building point cloud data corresponding to the assembly type building construction site through the laser scanning equipment; acquiring aerial building images at a plurality of preset angles through the aerial equipment; collecting a ground building image corresponding to the assembly type building construction site through the ground image collecting equipment; and taking the aerial building images at the preset angles and the ground building image as the construction building texture image data.

Optionally, in one or more embodiments of the present specification, analyzing the assembly data to generate actual assembly information specifically includes: performing point cloud data extraction on the construction building point cloud data to obtain point cloud data of each specified prefabricated part in the construction building point cloud data; performing feature extraction on the point cloud data of each appointed prefabricated part to obtain an actual assembly quality index of each appointed prefabricated part, wherein the actual assembly quality index comprises the size of the prefabricated part, the surface flatness of the prefabricated part and the verticality of the prefabricated part; performing three-dimensional reconstruction according to the aerial building images at the plurality of preset angles and the ground building image to obtain a three-dimensional model corresponding to the fabricated building; performing surface feature extraction on the three-dimensional model to obtain an edge feature line of each specified prefabricated part, and determining position data of the edge feature line of each specified prefabricated part in the three-dimensional model; and determining the actual assembly position of each specified prefabricated part based on the position data of the edge characteristic line of each specified prefabricated part in the three-dimensional model.

Optionally, in one or more embodiments of the present specification, the generating the component precision of each prefabricated component based on the component parameters of the prefabricated components and the structural relationship between the prefabricated components specifically includes: determining the connection relation between the prefabricated parts according to the structural relation between the prefabricated parts; taking two connected prefabricated parts as component groups, and determining the connecting area of the two prefabricated parts in each component group; acquiring the component size and the component flatness in the component parameters of two prefabricated components in the component group; generating a component matching degree between two prefabricated components in the component group based on the connecting area, the component size and the component flatness; and determining the component precision of each prefabricated component according to the component matching degree between two prefabricated components in the component group, wherein the component precision is positively correlated with the component matching degree.

Optionally, in one or more embodiments of the present specification, the extracting features of the point cloud data of each specified prefabricated component to obtain an actual assembly quality index of each specified prefabricated component specifically includes: performing dimensionality reduction on the point cloud data of each appointed prefabricated part to obtain plane data of each appointed prefabricated part; calculating a vector included angle of each appointed point and other points in tangent plane projection in the plane data of each appointed prefabricated part, wherein the other points are positioned in the neighborhood of the appointed point; when the vector included angle corresponding to the designated point is larger than a preset angle threshold value, marking the designated point to obtain a plurality of marked designated points; fitting the plurality of mark designated points to obtain the component size of each designated prefabricated component; processing the point cloud data of each prefabricated part to obtain a reference plane; calculating an included angle between the reference plane and a unit vector in the vertical direction, and obtaining the verticality of each specified prefabricated part based on the included angle; and calculating the distance between the point in the point cloud data of each prefabricated part and the reference plane, and obtaining the flatness of each appointed prefabricated part based on the distance.

Optionally, in one or more embodiments of the present specification, adjusting the assembly parameters in the assembly process of the specified prefabricated component according to the actual assembly information and the theoretical assembly information acquired in advance specifically includes: obtaining theoretical assembling information in advance, wherein the theoretical assembling information comprises theoretical assembling positions of the specified prefabricated parts and theoretical assembling quality indexes of the specified prefabricated parts; when an actual assembly position in the actual assembly information is different from the theoretical assembly position, adjusting the position of the specified prefabricated part based on the theoretical assembly position; and when the index difference value between the actual assembly quality index in the actual assembly information and the theoretical assembly quality index is greater than or equal to a preset error threshold value, replacing the specified prefabricated part.

One or more embodiments of the present specification provide a building assembling apparatus for improving assembling accuracy, including:

at least one processor; and (c) a second step of,

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to:

acquiring a building model corresponding to the assembly type building, and determining component information of a plurality of prefabricated components for the assembly type building and a structural relationship between the plurality of prefabricated components based on the building model, wherein the component information comprises component names and component parameters of the prefabricated components; generating the component precision of each prefabricated component based on the component parameters of the prefabricated components and the structural relationship between the prefabricated components, so as to determine a specified prefabricated component meeting the requirements in a pre-constructed component library according to the component precision of each prefabricated component; assembling the specified prefabricated parts, and acquiring assembly data of an assembly type building construction site through a plurality of preset data acquisition devices, wherein the assembly data comprises construction building point cloud data and construction building texture image data under a plurality of angles; analyzing the assembly data to generate actual assembly information, wherein the actual assembly information comprises an actual assembly position of the specified prefabricated part and an actual assembly quality index of the specified prefabricated part; and adjusting the assembly parameters of the specified prefabricated part in the assembly process according to the actual assembly information and the pre-acquired theoretical assembly information.

One or more embodiments of the present specification provide a non-transitory computer storage medium storing computer-executable instructions configured to:

acquiring a building model corresponding to the assembly type building, and determining component information of a plurality of prefabricated components for the assembly type building and a structural relationship between the plurality of prefabricated components based on the building model, wherein the component information comprises component names and component parameters of the prefabricated components; generating the component precision of each prefabricated component based on the component parameters of the prefabricated components and the structural relationship between the prefabricated components, so as to determine a specified prefabricated component meeting the requirements in a pre-constructed component library according to the component precision of each prefabricated component; assembling by using the appointed prefabricated parts, and acquiring assembly data of an assembly type building construction site through a plurality of preset data acquisition devices, wherein the assembly data comprises construction building point cloud data and construction building texture image data under a plurality of angles; analyzing the assembly data to generate actual assembly information, wherein the actual assembly information comprises an actual assembly position of the specified prefabricated part and an actual assembly quality index of the specified prefabricated part; and adjusting the assembly parameters of the specified prefabricated part in the assembly process according to the actual assembly information and the pre-acquired theoretical assembly information.

The embodiment of the specification adopts at least one technical scheme which can achieve the following beneficial effects: according to the technical scheme, the required prefabricated parts are determined aiming at the initial building model, and when the prefabricated parts are selected, the influence of the production allowance error of the prefabricated parts on the combination of different prefabricated parts is considered, namely, the more matched prefabricated parts are selected according to the part precision of the prefabricated parts; the theoretical precision of the prefabricated parts required by the building is calculated according to the building model in the design stage, the best matched prefabricated parts are determined in the produced part library according to the theoretical precision, the problem of poor matching of the parts caused by factory production errors is solved, the selection process of the prefabricated parts is considered, and the assembly precision of the building is ensured from the assembly source; carry out data acquisition at every appointed prefabricated component's preliminary work progress, perhaps possess a plurality of appointed prefabricated components's of relation of connection preliminary work progress and carry out data acquisition, in time contrast actual assembly condition and standard assembly condition, if the unusual phenomenon of actual assembly condition appears, can in time adjust preliminary work progress, improve the construction precision in the assembling process, and then reach the effect that improves whole assembly precision. The quality indexes of the prefabricated parts are detected in the construction process, and if the prefabricated parts are damaged in size or scraped on the surfaces due to collision in the transportation or installation process, the prefabricated parts are replaced, so that the assembly precision is improved, and the building quality is guaranteed.

Drawings

In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the description below are only some embodiments described in the present specification, and for those skilled in the art, other drawings may be obtained according to these drawings without creative efforts. In the drawings:

fig. 1 is a schematic flow chart of a building assembly method for improving assembly accuracy according to an embodiment of the present disclosure;

fig. 2 is a schematic structural diagram of a building assembling device for improving assembling accuracy according to an embodiment of the present disclosure.

Detailed Description

In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the present specification, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present specification without any creative effort shall fall within the protection scope of the present specification.

In the assembly process of the assembly type building, the assembly precision is closely related to the quality of the building structure engineering, wherein the selection and the assembly position of the prefabricated component can influence the assembly precision. In general, when prefabricated parts are produced in a factory, there are parameter errors in the parameters of the prefabricated parts of the same type used for the current building, and there are differences in the matching degree between the mutually connected members, which may affect the building quality if the two mutually connected members are not matched but assembled. In addition, in the assembly process, the conditions of shaking and the like can occur during assembly due to the influence of the environment, so that the assembly position deviation can occur, and the building quality can also be influenced; in addition, in the transportation process or the construction process, the conditions of collision, scraping and the like to the components may occur, so that the parameters of the components are changed, and the final assembly precision and the building quality are also influenced. Therefore, the assembly method of the assembly type building in the prior art does not comprehensively consider a plurality of stages of the assembly process, and the assembly precision cannot be ensured.

The embodiment of the present specification provides a building assembly method for improving assembly accuracy, and it should be noted that an execution main body in the embodiment of the present specification may be a server, or may be any device having a data processing capability. Fig. 1 is a schematic flow chart of a building assembly method for improving assembly accuracy according to an embodiment of the present disclosure, as shown in fig. 1, the method mainly includes the following steps:

step S101, obtaining a building model corresponding to the assembly type building, and determining component information of a plurality of prefabricated components used for the assembly type building and a structural relation between the plurality of prefabricated components based on the building model.

Wherein the component information includes a component name and a component parameter of the prefabricated component.

In an actual application scenario, before the assembly building starts to be built, the current assembly building needs to be subjected to building design, and the structure and the size of the building are determined. Taking a building as an example, in building design, a building unit of a building is designed according to the total number of floors, the floor height of each floor and the layout of each room, that is, a building drawing is generated.

In one embodiment of the present specification, a building model corresponding to a fabricated building is obtained, where the building model may be understood as a building model of a certain room, and the building model is a building model corresponding to a building drawing provided in a design stage. The building model includes the building elements required for the building and the structural relationship between each building element, for example, a prefabricated wall and four prefabricated columns are required. According to the building model, component information of a plurality of prefabricated components and a structural relationship between each prefabricated component are acquired. It should be noted that in actual building design, the building components have different sizes under different designs, for example, the building components are also prefabricated walls, and the prefabricated walls arranged at different positions have different parameters such as length, width, thickness and the like, and the components connected with the prefabricated walls are also different.

And S102, generating the component precision of each prefabricated component based on the component parameters of the prefabricated components and the structural relationship between the prefabricated components, so as to determine the specified prefabricated components meeting the requirements in a pre-constructed component library according to the component precision of each prefabricated component.

Generating the component precision of each prefabricated component based on the component parameters of the prefabricated components and the structural relationship between the prefabricated components, and specifically comprising the following steps of: determining the connection relation between the prefabricated parts according to the structural relation between the prefabricated parts; taking two connected prefabricated parts as component groups, and determining the connecting area of the two prefabricated parts in each component group; acquiring the component size and the component flatness in the component parameters of two prefabricated components in the component group; generating a component matching degree between two prefabricated components in the component group based on the connecting area, the component size and the component flatness; and determining the component precision of each prefabricated component according to the component matching degree between two prefabricated components in the component group, wherein the component precision is positively correlated with the component matching degree.

In one embodiment of the present specification, different types of prefabricated components have different requirements on dimensional accuracy, the same type of prefabricated components have different requirements on dimensional accuracy in different design schemes, and the connection relationship between the different prefabricated components and the requirements on component accuracy also have different requirements.

In one embodiment of the present specification, a connection relationship between prefabricated parts is determined based on a structural relationship between the prefabricated parts, two connected prefabricated parts are taken as a part group, and a connection region of the two prefabricated parts in each part group is determined. It should be noted that the connecting region is understood to be a contact region, and it is understood that the connecting region is a contact region of two prefabricated parts in the group of parts. And acquiring the component size and the component flatness in the component parameters of two prefabricated components in the component group.

In one embodiment of the present specification, for convenience of description, two prefabricated elements in the same element group are set as a first prefabricated element and a second prefabricated element. It should be noted that the two prefabricated elements belonging to the same group of elements are of different types, for example, one wall and one column. The contact area in the first prefabricated part is called the first area and the contact area in the second prefabricated part is called the second area. Calculating the area of the first region according to the size information of the first prefabricated part; and calculating the area of the second region according to the size information of the second prefabricated part, and calculating the area difference value of the area of the first region and the area of the second region. Similarly, the first member flatness of the first prefabricated member and the second member flatness of the second prefabricated member are respectively taken as the first region flatness of the first region and the second region flatness of the second region, and a flatness difference between the first flatness and the second region flatness is calculated. When both the area difference and the flatness difference are 0, the matching degree of the first prefabricated member and the second prefabricated member is set to 1, and the member accuracy of both is set to 1. Here, the member accuracy of the first prefabricated member and the second prefabricated member is theoretical accuracy.

In one embodiment of the present specification, a component library is constructed in advance, where the component library is used for storing all prefabricated components produced by a component factory, generally, when the component factory produces components, multiple components of the same type and the same size requirement are produced, each component has larger or smaller parameter errors, and after components with different parameter errors are assembled, the matching performance of the components can also be changed. The method comprises the steps of grouping prefabricated components in advance according to the building mode of a building, grouping a plurality of prefabricated components which possibly have connection relations into a group, setting the component precision of each actual prefabricated component according to the calculation mode of the component precision, and storing the component precision in a component library, wherein the component precision stored in the component library is the actual precision of the prefabricated component produced in a factory, and can also be understood as the actual matching degree of any two prefabricated components. According to the required theoretical component precision, a specified prefabricated component which has the actual precision same as the theoretical component precision and belongs to the same type and the same labeling parameter as the first prefabricated component and the second prefabricated component is determined in the component library. It should be noted here that the component type of the prefabricated component corresponding to the theoretical accuracy is the same as the component type of the prefabricated component in the component library.

By the technical scheme, the theoretical precision of the prefabricated parts required by the building is calculated according to the building model in the design stage, the most matched prefabricated parts are determined in the produced part library according to the theoretical precision, the problem of poor matching of the parts caused by production errors of a factory is solved, the selection process of the prefabricated parts is considered, and the assembly precision of the building is ensured from the assembly source.

And S103, assembling by using the specified prefabricated parts, and acquiring assembly data of the assembly type building construction site through a plurality of preset data acquisition devices.

The assembly data comprises construction building point cloud data and construction building texture image data under multiple angles.

In one embodiment of the present specification, after the designated prefabricated parts corresponding to the building required for the prefabricated building are determined in the parts library, the designated prefabricated parts are used for assembly. Through a plurality of data acquisition devices, in the construction process of appointed prefabricated component, the assembly data of assembly type building job site is gathered. It should be noted here that the construction process of the specified prefabricated component may be a construction process of one specified prefabricated component, or may be a construction process of a plurality of specified prefabricated components; because need improve the construction precision in the assembling process, and then reach the effect that improves the whole assembly precision, can carry out data acquisition at every preliminary work progress of appointed prefabricated component, perhaps possess a plurality of preliminary work progress of appointed prefabricated component of connection relation and carry out data acquisition, at this in-process, in time contrast actual assembly condition and standard assembly condition, if the unusual phenomenon of actual assembly condition appears, can in time adjust preliminary work progress.

Before the assembly data of the assembly type building construction site is acquired through a plurality of preset data acquisition devices, the method further comprises the following steps: collecting the on-site illumination intensity at a plurality of on-site positions and the off-site illumination intensity at a plurality of off-site positions of the fabricated building construction site at a specified time; determining a plurality of designated positions inside the field and a plurality of designated positions outside the field from the plurality of positions inside the field and the plurality of positions outside the field respectively based on the illumination intensity inside the field and the illumination intensity outside the field; arranging laser scanning equipment at each designated position inside the field and each designated position outside the field; presetting shooting parameters of aerial shooting equipment, wherein the shooting parameters comprise a shooting area and equipment height; and determining the shooting range of the aerial equipment based on the shooting parameters of the aerial equipment so as to set the equipment position and the equipment parameters of the ground image acquisition equipment according to the shooting range.

In one embodiment of the present specification, a plurality of data collection devices are provided in advance at a prefabricated construction site. In the actual construction process, construction problems are easy to occur, namely the assembly position of the prefabricated parts, the component parameters of the prefabricated parts, such as deviation of the position of the prefabricated parts, verticality exceeding an error range and the like, influence the building quality. In order to obtain accurate assembly data, a plurality of data acquisition devices are provided. The data acquisition device comprises laser scanning equipment, aerial photography equipment and ground image acquisition equipment.

In an embodiment of the present specification, before point cloud data acquisition is performed on a construction site, a setting position of a laser scanning device needs to be set, and it should be noted that, in order to ensure accuracy of data acquisition of the laser scanning device, the device needs to be set in a place with good visibility conditions. The method comprises the steps of collecting the on-site illumination intensity of a plurality of on-site positions and the off-site illumination intensity of a plurality of off-site positions of an assembly type building construction site at a specified moment, wherein the specified moment can be any moment in the whole day, the illumination at different moments can be collected once at each moment, and the corresponding positions are selected according to actual assembly time. And determining a plurality of in-field designated positions and a plurality of out-of-field designated positions in the plurality of in-field positions and the plurality of out-of-field positions respectively according to the in-field illumination intensity and the out-of-field illumination intensity, and setting the laser scanning equipment. It should be noted here that laser scanning devices may be disposed at each in-field position and each out-of-field position, and the laser scanning devices at the in-field designated position and the out-of-field designated position corresponding to the construction time and meeting the requirements are selected to perform data acquisition according to the illumination intensities at different times.

Based on the illumination intensity inside the field and the illumination intensity outside the field, a plurality of designated positions inside the field and a plurality of designated positions outside the field are determined respectively in the plurality of positions inside the field and the plurality of positions outside the field, and the method specifically comprises the following steps: presetting a first illumination intensity threshold value and a second illumination intensity threshold value, wherein the first illumination intensity threshold value is the designated illumination intensity in the outdoor environment, and the second illumination intensity threshold value is the preset illumination intensity in the indoor environment; calculating an off-field difference value between the off-field illumination intensity of each off-field position and the first illumination intensity threshold value, and calculating an on-field difference value between the on-field illumination intensity of each on-field position and the second illumination intensity threshold value; determining a designated off-field difference value and a designated on-field difference value within a preset difference value range from the plurality of off-field difference values and the plurality of on-field difference values; determining a designated off-site position corresponding to the designated off-site difference value according to the designated off-site difference value; and determining the position in the designated field corresponding to the difference value in the designated field according to the difference value in the designated field.

In an embodiment of the present disclosure, a first illumination intensity threshold and a second illumination intensity threshold are preset, where the first illumination intensity threshold is a designated illumination intensity corresponding to data acquisition in an outdoor environment, and can determine, according to a scanning record of a laser scanning device, an illumination intensity at which data acquisition is more accurate outdoors, and the second illumination intensity threshold is a preset illumination intensity in an indoor environment, and similarly, the preset illumination intensity refers to an illumination intensity suitable for data acquisition in an indoor environment. And calculating an off-field difference value between the off-field illumination intensity of each off-field position and the first illumination intensity threshold value, and calculating an on-field difference value between the on-field illumination intensity of each on-field position and the second illumination intensity threshold value. Determining a designated off-field difference value and a designated on-field difference value within a preset difference value range from the plurality of off-field difference values and the plurality of on-field difference values; and determining a designated off-site position corresponding to the designated off-site difference value according to the designated off-site difference value, and similarly determining a designated on-site position corresponding to the designated on-site difference value according to the designated on-site difference value.

In an embodiment of the present specification, after the laser scanning device is provided, an aerial photographing device and a ground image capturing device need to be further provided, where the aerial photographing device may be an unmanned aerial vehicle, and the ground image capturing device may be a camera. For the aerial photographing equipment, photographing parameters are required to be set for the aerial photographing equipment, the photographing parameters comprise a photographing area and equipment height, namely, when data acquisition is carried out through the aerial photographing equipment, the photographing area is required to be set, namely, the photographing area which contains a target area and is not shielded by other buildings is selected, and a light-reflecting object and the like which influence the imaging quality do not exist in the photographing area. In addition, the device height of the aerial device needs to be set, and the flying height of the device can affect the imaging quality and the shooting range. The method comprises the steps of determining the shooting range of the aerial equipment based on the shooting parameters of the aerial equipment so as to set the equipment position and the equipment parameters of the ground image acquisition equipment according to the shooting range.

In one embodiment of the present specification, the device parameters and the device position of the ground image capturing device need to correspond to the shooting range of the aerial device, that is, the parameters of the framing range, the frame brightness, and the like of the ground image capturing device need to be consistent with the image shot by the aerial device.

Through a plurality of data acquisition device of predetermineeing, gather the assembly data of assembly type building job site, specifically include: the laser scanning equipment is used for collecting construction building point cloud data corresponding to an assembly type building construction site; acquiring aerial building images at a plurality of preset angles through the aerial equipment; collecting a ground building image corresponding to the assembly type building construction site through the ground image collecting equipment; and taking the aerial building images at the preset angles and the ground building image as the construction building texture image data.

In one embodiment of the present specification, the point cloud data is collected by a laser scanning device, and the aerial building images at a plurality of preset angles are collected by an aerial device, where the plurality of preset angles refer to data collection in vertical direction, front, rear, left side, and right side. Similarly, for the aerial building image, the ground building image is acquired through ground image acquisition equipment, and the aerial building image and the ground building image are used as construction building texture image data.

And step S104, analyzing the assembly data to generate actual assembly information.

Wherein the actual assembling information includes an actual assembling position of the specified prefabricated part and an actual assembling quality index of the specified prefabricated part.

Analyzing the assembly data to generate actual assembly information, which specifically comprises the following steps: performing point cloud data extraction on the point cloud data of the construction building to obtain point cloud data of each specified prefabricated part in the point cloud data of the construction building; performing feature extraction on the point cloud data of each appointed prefabricated part to obtain an actual assembly quality index of each appointed prefabricated part, wherein the actual assembly quality index comprises the size of the prefabricated part, the surface flatness of the prefabricated part and the verticality of the prefabricated part; performing three-dimensional reconstruction according to the aerial building images at the plurality of preset angles and the ground building image to obtain a three-dimensional model corresponding to the fabricated building; performing surface feature extraction on the three-dimensional model to obtain an edge feature line of each specified prefabricated part, and determining position data of the edge feature line of each specified prefabricated part in the three-dimensional model; and determining the actual assembly position of each specified prefabricated part based on the position data of the edge characteristic line of each specified prefabricated part in the three-dimensional model.

In an embodiment of the present specification, the point cloud data extraction is performed on the construction building point cloud data to obtain the point cloud data of each specified prefabricated component in the construction building point cloud data, that is, all the point cloud data corresponding to the construction building are divided into a plurality of point cloud groups according to the prefabricated components, and each group of point cloud data corresponds to one prefabricated component. In addition, the point cloud data needs to be preprocessed in advance to improve the efficiency and processing precision of subsequent point cloud processing. Due to the fact that the number of the point cloud data is large, calculation load is easy to increase, calculation progress is affected, the point cloud data needs to be simplified, irrelevant point cloud data are removed, and the number of the point cloud data is reduced. After the preprocessing, feature extraction is carried out on the point cloud data of each appointed prefabricated part, and an actual assembly quality index of each appointed prefabricated part is obtained, wherein the actual assembly quality index comprises the size of the prefabricated part, the surface flatness of the prefabricated part and the verticality of the prefabricated part.

The method comprises the following steps of performing feature extraction on point cloud data of each appointed prefabricated part to obtain an actual assembly quality index of each appointed prefabricated part, and specifically comprises the following steps: performing dimension reduction processing on the point cloud data of each appointed prefabricated part to obtain plane data of each appointed prefabricated part; calculating the vector included angle of each appointed point and other points in the tangent plane projection in the plane data of each appointed prefabricated part, wherein the other points are positioned in the neighborhood of the appointed point; when the vector included angle corresponding to the designated point is larger than a preset angle threshold value, marking the designated point to obtain a plurality of marked designated points; fitting the plurality of marked appointed points to obtain the member size of each appointed prefabricated member; processing the point cloud data of each prefabricated part to obtain a reference plane; calculating an included angle between the reference plane and a unit vector in the vertical direction, and obtaining the verticality of each appointed prefabricated part based on the included angle; and calculating the distance between the point in the point cloud data of each prefabricated part and the reference plane, and obtaining the flatness of each specified prefabricated part based on the distance.

In an embodiment of the present specification, after extracting the point cloud data corresponding to the prefabricated parts from the overall point cloud data, performing feature extraction on the point cloud data corresponding to each prefabricated part to obtain an actual assembly quality index of each prefabricated part. Generally, the structure of the prefabricated parts is generally a cuboid, such as a prefabricated column, and the point cloud data is generally composed of planes, so that in order to extract the features of the prefabricated parts, the point cloud data of each prefabricated part needs to be subjected to dimensionality reduction to obtain corresponding plane data. And in the plane data, calculating the vector included angle of each point and other points in the neighborhood of the point in the tangent plane projection, and if the included angle is larger than a preset angle threshold value, marking the point to obtain a marked point as an edge point. And calculating each point according to the mode to obtain a plurality of edge points with vector included angles larger than a preset angle threshold value. It should be noted that the preset angle threshold here can be set according to requirements, and for example, can be set to pi/2. And forming the member edge of the prefabricated member by the plurality of edge points, performing feature fitting on the member edge, wherein the fitting mode can be least square fitting to obtain a linear equation, and obtaining the member size of each appointed prefabricated member according to the obtained linear equation.

In one embodiment of the present description, performing least square fitting on the point cloud data of each prefabricated part to obtain a fitted reference plane; and calculating an included angle between the reference plane and the unit vector in the vertical direction, and obtaining the verticality of each appointed prefabricated part based on the included angle. That is, for example, if the reference plane makes an angle A with the unit vector of the vertical direction, the perpendicularity is the tangent value of A- π/2. Calculating the distance between each point in the point cloud data of each prefabricated part and the reference plane, and assuming that the distance between each point and the reference plane is x _n And obtaining the flatness of each appointed prefabricated part based on the distance. Specifically, the flatness of each specified prefabricated part is obtained by the following formula:

where p is used to denote flatness, x _n N is a positive integer greater than 0, and i is the number of points in the point cloud data for each prefabricated member.

In an embodiment of the present specification, three-dimensional reconstruction is performed according to aerial building images and ground building images at a plurality of preset angles, so as to obtain a three-dimensional model corresponding to the fabricated building. In order to avoid the occurrence of the condition that the accuracy of the model is influenced by shielding and the like in the collected data, the aerial building images and the ground building images at a plurality of preset angles are used for carrying out three-dimensional reconstruction. Through the building image of taking photo by plane that equipment gathered, collection efficiency is high, the scope is big, but because the taking lens angle that equipment of taking photo by plane carried on is fixed, even adjustable, its accommodation also receives the angle restriction, because there are other buildings in the assembly type building periphery, shelter from each other easily and lead to gathering the image not comprehensive, based on this, use the nimble ground image collection equipment of operation to carry out the collection on ground, combine two kinds of images to carry out three-dimensional reconstruction, obtain the three-dimensional model that assembly type building corresponds.

In one embodiment of the present specification, since the three-dimensional model is a complete mapping of the prefabricated building, the actual assembly position of each designated prefabricated part is obtained through analysis of the three-dimensional model. Firstly, surface feature extraction is carried out on the three-dimensional model to obtain an edge feature line of each appointed prefabricated part, and the position of each appointed prefabricated part can be determined through the edge feature line. The method includes the steps of obtaining position data of an edge characteristic line of each specified prefabricated part in a three-dimensional model, wherein the position data can be in a coordinate form, constructing a coordinate system in the three-dimensional model, and enabling the coordinate position of each point or line in the three-dimensional model to be in one-to-one correspondence with the actual position of the actual assembly type building. After the characteristic edge line of each prefabricated part is obtained, the position coordinates of points in the characteristic edge line in the coordinate system are determined, and the position coordinates of the prefabricated part in the three-dimensional model are further determined. And determining the actual assembly position of the specified prefabricated part based on the position coordinates of the edge characteristic line of each specified prefabricated part in the three-dimensional model and combining the corresponding relation between the coordinate position and the actual position.

According to the technical scheme, the quality index of the specified prefabricated part is obtained through analysis of the point cloud data, the accuracy and objectivity of the quality index are guaranteed, the measurement error generated by manual measurement is reduced, and the accuracy and the high precision of the quality index data can be guaranteed by using the point cloud data obtained by the high-precision laser scanning technology aiming at the data with strict requirements on the quality index. The assembly position constructs the prefabricated component and holistic relative relation more emphatically, obtain the positional relation of prefabricated component through three-dimensional model, the accuracy of data has been guaranteed, more possess present construction scene, in addition, construct three-dimensional model through building image of taking photo by plane and ground building image, the advantage that equipment collection efficiency is high, the scope is big of taking photo by plane has been utilized, compensate the easy collection drawback of appearing of equipment of taking photo by plane and sheltered from through ground image acquisition device, the comprehensiveness of data acquisition has been guaranteed, the high recovery effect of three-dimensional model and actual building has been realized, the accuracy of assembly position has further been guaranteed.

And step S105, adjusting the assembly parameters in the assembly process of the specified prefabricated part according to the actual assembly information and the theoretical assembly information acquired in advance.

According to the actual assembly information and the theoretical assembly information acquired in advance, the assembly parameters in the assembly process of the specified prefabricated part are adjusted, and the method specifically comprises the following steps: acquiring theoretical assembly information in advance, wherein the theoretical assembly information comprises a theoretical assembly position of the specified prefabricated part and a theoretical assembly quality index of the specified prefabricated part; when the actual assembly position in the actual assembly information is different from the theoretical assembly position, adjusting the position of the specified prefabricated part based on the theoretical assembly position; and when the index difference value between the actual assembly quality index in the actual assembly information and the theoretical assembly quality index is greater than or equal to a preset error threshold value, replacing the specified prefabricated part.

In an embodiment of the present specification, theoretical assembly information is obtained, it should be noted that the theoretical assembly information may be standard assembly information corresponding to a construction standard, and similarly, the theoretical assembly information includes a theoretical assembly position and a theoretical assembly quality index of each prefabricated component, for example, an assembly size, an assembled verticality, an assembled flatness, and the like of the prefabricated component. And comparing the actual assembly position in the actual assembly information with the theoretical assembly position, and if the actual assembly position and the theoretical assembly position are different, adjusting the assembly position of the specified prefabricated part to enable the assembly position of the specified prefabricated part to be the same as the theoretical assembly position. And comparing the actual assembly quality index in the actual assembly information with the theoretical assembly index, and if the index difference between the actual assembly quality index and the theoretical assembly quality index is greater than or equal to a preset error threshold corresponding to the error allowable range, replacing the specified prefabricated part, namely, the assembly parameters in the assembly process comprise the assembly position of the prefabricated part and the replacement condition of the prefabricated part. It should be noted here that, when comparing the difference of the assembly quality indexes, it is necessary to calculate the quality indexes belonging to the same category, for example, the difference between the actual assembly size and the theoretical assembly size is calculated, the flatness of the actual assembly is calculated from the flatness of the theoretical assembly, and the perpendicularity of the actual assembly and the perpendicularity of the theoretical assembly are calculated. In the actual construction process, in order to avoid the influence on the assembly precision caused by dimension loss or surface scratch due to collision of the prefabricated parts during transportation or installation, the quality indexes of the prefabricated parts are detected in the construction process, and when the condition occurs, the prefabricated parts are replaced, so that the assembly precision is improved, and the building quality is ensured.

According to the technical scheme, the required prefabricated parts are determined aiming at the initial building model, and when the prefabricated parts are selected, the influence of the production allowance error of the prefabricated parts on the combination of different prefabricated parts is considered, namely, the more matched prefabricated parts are selected according to the part precision of the prefabricated parts; the theoretical precision of the prefabricated parts required by the building is calculated according to the building model in the design stage, the best matched prefabricated parts are determined in the produced part library according to the theoretical precision, the problem of poor matching of the parts caused by factory production errors is solved, the selection process of the prefabricated parts is considered, and the assembly precision of the building is ensured from the assembly source; carry out data acquisition at every appointed prefabricated component's preliminary work progress, perhaps possess a plurality of appointed prefabricated components's of connection relation preliminary work progress and carry out data acquisition, in time contrast actual assembly condition and standard assembly condition, if the unusual phenomenon of actual assembly condition appears, can in time adjust preliminary work progress, improve the construction precision in assembly process, and then reach the effect that improves whole assembly precision. The quality indexes of the prefabricated parts are detected in the construction process, and if the prefabricated parts are damaged in size or scraped on the surfaces due to collision in the transportation or installation process, the prefabricated parts are replaced, so that the assembly precision is improved, and the building quality is guaranteed.

Embodiments of the present specification further provide a building assembling apparatus for improving assembling accuracy, as shown in fig. 2, the apparatus includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to:

acquiring a building model corresponding to the assembly type building, and determining component information of a plurality of prefabricated components for the assembly type building and a structural relationship between the plurality of prefabricated components based on the building model, wherein the component information comprises component names and component parameters of the prefabricated components; generating the component precision of each prefabricated component based on the component parameters of the prefabricated components and the structural relationship between the prefabricated components, so as to determine a specified prefabricated component meeting the requirements in a pre-constructed component library according to the component precision of each prefabricated component; assembling by using the appointed prefabricated part, and acquiring assembly data of an assembly type building construction site through a plurality of preset data acquisition devices, wherein the assembly data comprises construction building point cloud data and construction building texture image data under a plurality of angles; analyzing the assembly data to generate actual assembly information, wherein the actual assembly information comprises an actual assembly position of the specified prefabricated part and an actual assembly quality index of the specified prefabricated part; and adjusting the assembly parameters of the specified prefabricated part in the assembly process according to the actual assembly information and the theoretical assembly information acquired in advance.

Embodiments of the present description also provide a non-volatile computer storage medium storing computer-executable instructions configured to:

acquiring a building model corresponding to the assembly type building, and determining component information of a plurality of prefabricated components for the assembly type building and a structural relationship among the prefabricated components based on the building model, wherein the component information comprises component names and component parameters of the prefabricated components; generating the component precision of each prefabricated component based on the component parameters of the prefabricated components and the structural relationship between the prefabricated components, so as to determine specified prefabricated components meeting requirements in a pre-constructed component library according to the component precision of each prefabricated component; assembling by using the appointed prefabricated part, and acquiring assembly data of an assembly type building construction site through a plurality of preset data acquisition devices, wherein the assembly data comprises construction building point cloud data and construction building texture image data under a plurality of angles; analyzing the assembly data to generate actual assembly information, wherein the actual assembly information comprises an actual assembly position of the specified prefabricated part and an actual assembly quality index of the specified prefabricated part; and adjusting the assembly parameters of the specified prefabricated part in the assembly process according to the actual assembly information and the theoretical assembly information acquired in advance.

All the embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the embodiments of the apparatus, the device, and the nonvolatile computer storage medium, since they are substantially similar to the embodiments of the method, the description is simple, and for the relevant points, reference may be made to the partial description of the embodiments of the method.

The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may 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 may also be possible or may be advantageous.

The devices and the media provided in the embodiments of the present description correspond to the methods one to one, and therefore, the devices and the media also have beneficial technical effects similar to the corresponding methods.

As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of other like elements in a process, method, article, or apparatus comprising the element.

The above description is merely one or more embodiments of the present disclosure and is not intended to limit the present disclosure. Various modifications and alterations to one or more embodiments of the present description will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement or the like made within the spirit and principle of one or more embodiments of the present specification should be included in the scope of the claims of the present specification.

Claims

1. A building assembly method for improving assembly accuracy, the method comprising:

acquiring a building model corresponding to the assembly type building, and determining component information of a plurality of prefabricated components for the assembly type building and a structural relationship between the plurality of prefabricated components based on the building model, wherein the component information comprises component names and component parameters of the prefabricated components;

generating the component precision of each prefabricated component based on the component parameters of the prefabricated components and the structural relationship between the prefabricated components, so as to determine a specified prefabricated component meeting the requirements in a pre-constructed component library according to the component precision of each prefabricated component;

assembling by using the appointed prefabricated parts, and acquiring assembly data of an assembly type building construction site through a plurality of preset data acquisition devices, wherein the assembly data comprises construction building point cloud data and construction building texture image data under a plurality of angles;

analyzing the assembly data to generate actual assembly information, wherein the actual assembly information comprises an actual assembly position of the specified prefabricated part and an actual assembly quality index of the specified prefabricated part;

and adjusting the assembly parameters of the specified prefabricated part in the assembly process according to the actual assembly information and the pre-acquired theoretical assembly information.

2. The building assembling method for improving assembling accuracy according to claim 1, wherein before assembling data of the assembly type building construction site is collected by a plurality of preset data collecting devices, the method further comprises:

collecting on-site illumination intensities at a plurality of on-site positions and off-site illumination intensities at a plurality of off-site positions of the fabricated building construction site at a specified time;

determining a plurality of intra-field designated locations and a plurality of extra-field designated locations among the plurality of intra-field locations and the plurality of extra-field locations, respectively, based on the intra-field illumination intensity and the extra-field illumination intensity;

arranging laser scanning equipment at each designated position inside the field and each designated position outside the field;

presetting shooting parameters of aerial shooting equipment, wherein the shooting parameters comprise a shooting area and equipment height;

and determining the shooting range of the aerial equipment based on the shooting parameters of the aerial equipment so as to set the equipment position and the equipment parameters of the ground image acquisition equipment according to the shooting range.

3. The building assembling method for improving assembling accuracy of claim 2, wherein determining a plurality of on-site designated locations and a plurality of off-site designated locations in the plurality of on-site locations and the plurality of off-site locations respectively based on the on-site illumination intensity and the off-site illumination intensity comprises:

presetting a first illumination intensity threshold value and a second illumination intensity threshold value, wherein the first illumination intensity threshold value is the designated illumination intensity in the outdoor environment, and the second illumination intensity threshold value is the preset illumination intensity in the indoor environment;

calculating an off-field difference value between the off-field illumination intensity of each off-field position and the first illumination intensity threshold value, and calculating an in-field difference value between the in-field illumination intensity of each in-field position and the second illumination intensity threshold value;

determining a designated off-field difference value and a designated on-field difference value within a preset difference value range from the plurality of off-field difference values and the plurality of on-field difference values;

determining a designated off-site position corresponding to the designated off-site difference value according to the designated off-site difference value;

and determining the position in the designated field corresponding to the difference value in the designated field according to the difference value in the designated field.

4. The building assembling method for improving the assembling accuracy according to claim 2, wherein assembling data of the assembly type building construction site are acquired through a plurality of preset data acquisition devices, and the method specifically comprises the following steps:

collecting construction building point cloud data corresponding to the assembly type building construction site through the laser scanning equipment;

acquiring aerial building images at a plurality of preset angles through the aerial equipment;

collecting a ground building image corresponding to the assembly type building construction site through the ground image collecting equipment;

and taking the aerial building images at the preset angles and the ground building image as the construction building texture image data.

5. The building assembling method for improving the assembling accuracy according to claim 4, wherein the analyzing the assembling data to generate the actual assembling information specifically comprises:

performing point cloud data extraction on the point cloud data of the construction building to obtain point cloud data of each specified prefabricated part in the point cloud data of the construction building;

performing feature extraction on the point cloud data of each appointed prefabricated part to obtain an actual assembly quality index of each appointed prefabricated part, wherein the actual assembly quality index comprises the size of the prefabricated part, the surface flatness of the prefabricated part and the verticality of the prefabricated part;

performing three-dimensional reconstruction according to the aerial building images at the plurality of preset angles and the ground building image to obtain a three-dimensional model corresponding to the fabricated building;

performing surface feature extraction on the three-dimensional model to obtain an edge feature line of each specified prefabricated part, and determining position data of the edge feature line of each specified prefabricated part in the three-dimensional model;

and determining the actual assembly position of each specified prefabricated part based on the position data of the edge characteristic line of each specified prefabricated part in the three-dimensional model.

6. The building assembly method for improving the assembly accuracy according to claim 1, wherein the component accuracy of each prefabricated component is generated based on the component parameters of the prefabricated components and the structural relationship between the prefabricated components, and the method specifically comprises the following steps:

determining the connection relation between the prefabricated components according to the structural relation between the prefabricated components;

taking two connected prefabricated parts as component groups, and determining the connecting area of the two prefabricated parts in each component group;

acquiring the component size and the component flatness in the component parameters of two prefabricated components in the component group;

generating a component matching degree between two prefabricated components in the component group based on the connecting area, the component size and the component flatness;

and determining the component precision of each prefabricated component according to the component matching degree between two prefabricated components in the component group, wherein the component precision is positively correlated with the component matching degree.

7. The building assembly method for improving the assembly accuracy according to claim 5, wherein the step of performing feature extraction on the point cloud data of each specified prefabricated part to obtain an actual assembly quality index of each specified prefabricated part specifically comprises the following steps:

performing dimension reduction processing on the point cloud data of each appointed prefabricated part to obtain plane data of each appointed prefabricated part;

calculating a vector included angle of each appointed point and other points in tangent plane projection in the plane data of each appointed prefabricated part, wherein the other points are positioned in the neighborhood of the appointed point;

when the vector included angle corresponding to the designated point is larger than a preset angle threshold value, marking the designated point to obtain a plurality of marked designated points;

fitting the plurality of mark designated points to obtain the component size of each designated prefabricated component;

processing the point cloud data of each prefabricated part to obtain a reference plane;

calculating an included angle between the reference plane and a unit vector in the vertical direction, and obtaining the verticality of each specified prefabricated part based on the included angle;

and calculating the distance between the point in the point cloud data of each prefabricated part and the reference plane, and obtaining the flatness of each appointed prefabricated part based on the distance.

8. The building assembling method for improving the assembling accuracy according to claim 1, wherein the adjusting of the assembling parameters in the assembling process of the specified prefabricated parts according to the actual assembling information and the theoretical assembling information obtained in advance comprises:

acquiring theoretical assembling information in advance, wherein the theoretical assembling information comprises theoretical assembling positions of the specified prefabricated parts and theoretical assembling quality indexes of the specified prefabricated parts;

when the actual assembly position in the actual assembly information is different from the theoretical assembly position, adjusting the position of the specified prefabricated part based on the theoretical assembly position;

and when the index difference value between the actual assembly quality index in the actual assembly information and the theoretical assembly quality index is greater than or equal to a preset error threshold value, replacing the specified prefabricated part.

9. A building assembly apparatus for improving assembly accuracy, the apparatus comprising:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein, the first and the second end of the pipe are connected with each other,

the memory stores instructions executable by the at least one processor to cause the at least one processor to:

10. A non-transitory computer storage medium storing computer-executable instructions configured to:

acquiring a building model corresponding to an assembly type building, and determining component information of a plurality of prefabricated components for the assembly type building and a structural relationship among the prefabricated components based on the building model, wherein the component information comprises component names and component parameters of the prefabricated components;

assembling the specified prefabricated parts, and acquiring assembly data of an assembly type building construction site through a plurality of preset data acquisition devices, wherein the assembly data comprises construction building point cloud data and construction building texture image data under a plurality of angles;