Method and device for installing, positioning and monitoring laminated slab in beam

Abstract

The invention provides a method and a device for installing, positioning and monitoring a laminated slab in a beam. Relates to the technical field of building construction. According to the specific implementation scheme, the method comprises the steps that reverse modeling is conducted on a prefabricated laminated slab component through laser scanners placed at multiple target positions, and a point cloud model is generated; inputting preset data of the prefabricated laminated slab component into the building information model to generate a target preset model; and the point cloud model is matched with a target preset model, and when it is detected that the matching degree of the point cloud model and the target preset model is smaller than a first preset threshold value, multiple installation point positions for beam-entering installation of the prefabricated laminated slab component and normal state parameters of the multiple installation point positions are determined based on the point cloud model and the target preset model. According to the technical scheme, the accuracy and construction efficiency of installation and positioning of the laminated slab into the beam can be improved, structural hidden dangers caused by installation dislocation are avoided, it is guaranteed that the laminated slab and the beam form a reliable overall stress system, and the stability and safety of a building structure are enhanced.

Description

Technical Field

[0001] This invention relates to the field of building construction technology, and in particular to a method and device for positioning and monitoring composite slabs installed in beams. Background Technology

[0002] In building construction, the traditional method of installing composite slabs into beams involves hoisting them in place. The orientation of the composite slab is adjusted manually to align its edges with the placement line on the beam, preventing interference between the pre-installed reinforcing bars and the wall reinforcement. The slab is then slowly lowered into position. However, the hoisting height and angle of the composite slab rely on manual labor, requiring constant adjustments and resulting in low construction efficiency. Furthermore, the composite slab is prone to angular deviations during hoisting, potentially leading to structural defects and affecting the stability and safety of the building structure. Therefore, a more precise positioning method for installing composite slabs into beams is urgently needed to ensure accuracy. Summary of the Invention

[0003] This disclosure provides a method and device for positioning and monitoring composite slabs installed in beams.

[0004] According to a first aspect of this disclosure, a method for positioning and installing composite slabs into beams is provided, comprising: A point cloud model is generated by reverse modeling the precast composite slab components using laser scanners placed at multiple target locations. Input the preset data of the prefabricated composite slab components into the building information model to generate the target preset model; The point cloud model is matched with the target preset model. When the matching degree between the point cloud model and the target preset model is less than the first preset threshold, multiple installation points and normal state parameters of the precast composite slab components are determined based on the point cloud model and the target preset model.

[0005] According to a second aspect of this disclosure, a method for monitoring the installation of composite slabs into beams is provided, comprising: A precast composite slab installation monitoring system is used to monitor multiple installation points of precast composite slab components in beams throughout the entire installation process in real time, obtaining status parameters for each installation point. The system includes multiple drones, multiple sensors, and a controller. The drones are used to acquire real-time images; the sensors are used to acquire status parameters for multiple installation points; and the controller analyzes the real-time images and status parameters to generate monitoring signals. These monitoring signals are used to indicate whether any abnormalities have occurred during the installation of the precast composite slab components in beams.

[0006] According to a third aspect of this disclosure, a composite slab beam installation and positioning device is provided, comprising: The first generation module is used to reverse model the prefabricated composite slab components by placing laser scanners at multiple target locations to generate point cloud models; The second generation module is used to input the preset data of the prefabricated composite slab components into the building information model and generate the target preset model. The determination module is used to match the point cloud model with the target preset model. When the matching degree between the point cloud model and the target preset model is less than the first preset threshold, multiple installation points and normal state parameters of the precast composite slab components for beam installation are determined based on the point cloud model and the target preset model.

[0007] According to a fourth aspect of this disclosure, a composite slab beam installation monitoring device is provided, comprising: The monitoring module is used to monitor multiple installation points of precast composite slab components in beams in real time throughout the entire installation process using the composite slab beam installation monitoring system, and to obtain the operating status parameters of multiple installation points. The composite slab beam installation monitoring system includes: multiple drones, multiple sensors, and a controller; the drones are used to acquire real-time images; the sensors are used to acquire the operating status parameters of multiple installation points; the controller is used to analyze the real-time images and the operating status parameters of multiple installation points to generate monitoring signals; the monitoring signals are used to indicate whether any abnormalities have occurred during the installation of the precast composite slab components in beams.

[0008] According to a fifth aspect of this disclosure, a computer terminal device is provided, the computer terminal device including a memory and a processor, the memory storing code, and the processor being configured to acquire the code and execute the composite slab beam installation positioning method provided in the first aspect and / or the composite slab beam installation monitoring method provided in the second aspect.

[0009] According to a sixth aspect of this disclosure, a computer-readable storage medium is provided, the computer-readable storage medium storing at least one computer program, the computer program being loaded and executed by a processor to perform the operations performed by the composite slab beam installation positioning method provided in the first aspect and / or the composite slab beam installation monitoring method provided in the second aspect.

[0010] According to the technical solution disclosed herein, the accuracy of the installation and positioning of composite slabs into beams can be improved and the construction efficiency can be increased. This avoids structural hazards such as stress concentration and loose connection between the composite slab and the beam caused by installation misalignment, ensures that the composite slab and the beam form a reliable overall load-bearing system, enhances the stability and safety of the building structure, and extends the service life of the building.

[0011] The above overview is for illustrative purposes only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features of this application will become readily apparent from the accompanying drawings and the following detailed description. Attached Figure Description

[0012] Figure 1 This is a schematic diagram illustrating the process of installing and positioning the composite slab into the beam according to an embodiment of the present invention. Figure 2 This is a schematic diagram of the process for monitoring the installation of composite slabs into beams according to an embodiment of the present invention; Figure 3 This is a schematic diagram illustrating the application of the composite slab beam installation monitoring system provided in an embodiment of the present invention. Figure 4 This is a schematic diagram of the composite slab beam installation and positioning device provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of the structure of the composite slab beam installation monitoring device provided in an embodiment of the present invention; Figure 6 This is a schematic diagram of a scenario for the composite slab beam installation and positioning method provided in an embodiment of the present invention. Figure 7 This is a schematic diagram of the structure of a computer device used to implement the composite slab beam installation positioning method and / or composite slab beam installation monitoring method according to the embodiments of this disclosure. Detailed Implementation

[0013] The present disclosure will now be described in further detail with reference to the accompanying drawings. The same reference numerals in the drawings denote elements that have the same or similar functions. Although various aspects of embodiments are shown in the drawings, they are not necessarily drawn to scale unless specifically indicated otherwise.

[0014] Furthermore, to better illustrate this disclosure, numerous specific details are set forth in the following detailed description. Those skilled in the art will understand that this disclosure can be practiced without certain specific details. In some instances, methods, means, components, and circuits well known to those skilled in the art have not been described in detail in order to highlight the main points of this disclosure.

[0015] In this document, the term "and / or" indicates that three relationships can exist. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. The term "at least one" in this document indicates any combination of at least two of a plurality of elements. For example, including at least one of A, B, and C can mean including any one or more elements selected from the set consisting of A, B, and C. The terms "first" and "second" in this document refer to and distinguish between multiple similar technical terms, and do not imply a specific order or a limitation to only two. For example, "first feature" and "second feature" refer to two categories / two features; the first feature can be one or more, and the second feature can also be one or more.

[0016] Among related technologies, composite slabs, as a core component in the field of prefabricated buildings, demonstrate significant advantages in beam construction of large commercial buildings through their composite structure of "precast base slab and cast-in-place layer". Their application not only aligns with the trend of modern building industrialization but also addresses the core needs of commercial buildings, such as large spans, high loads, and flexible spaces, through technological innovation.

[0017] In existing technologies, the installation of composite slabs into beams mostly adopts the method of hoisting the composite slabs. The orientation of the composite slabs is adjusted manually to align their edges with the placement line on the beam, avoiding conflict between the pre-installed reinforcing bars and the wall reinforcement, and then slowly lowered into place. However, the hoisting height and angle of the composite slabs depend on manual labor, requiring constant adjustments, resulting in low construction efficiency. During hoisting, the composite slabs are prone to angular deviations, which can lead to structural hazards, affecting the stability and safety of the building structure and thus reducing its lifespan.

[0018] To at least partially address one or more of the aforementioned problems and other potential issues, this disclosure proposes a precast composite slab beam installation positioning scheme. This scheme includes: reverse modeling precast composite slab components using laser scanners placed at multiple target locations to generate point cloud models; inputting preset data of the precast composite slab components into a building information model to generate a target preset model; matching the point cloud model with the target preset model; and determining multiple installation points and normal state parameters for the composite slab beam installation based on the point cloud model and the target preset model when the matching degree between the point cloud model and the target preset model is less than a first preset threshold. This improves the accuracy of composite slab beam installation positioning, avoids structural hazards caused by installation misalignment, ensures the composite slab and beam form a reliable overall load-bearing system, and enhances the stability and safety of the building structure.

[0019] Figure 1 This is a schematic diagram of the installation and positioning process of the composite slab into the beam according to an embodiment of this disclosure, as shown below. Figure 1 As shown, the method includes at least the following steps: S101: Reverse modeling of prefabricated composite slab components using laser scanners placed at multiple target locations to generate point cloud models; S102: Input the preset data of the prefabricated composite slab components into the building information model to generate the target preset model; S103: Match the point cloud model with the target preset model. When the matching degree between the point cloud model and the target preset model is less than the first preset threshold, determine multiple installation points and normal state parameters of the precast composite slab components for beam installation based on the point cloud model and the target preset model.

[0020] In some embodiments, the target location refers to the location where the laser scanner is placed. The target location can be determined by simulating the scanning path using a Building Information Model (BIM) to obtain the coordinates of the optimal target location. Specifically, simulating the scanning path using a BIM to obtain the coordinates of the optimal target location may include: after simulating the scanning path using a BIM, using discrete sampling to obtain multiple candidate target locations; inputting the multiple candidate target locations into a ranking model to determine the coordinates of the optimal target location based on the ranking result. This ranking model is used to rank each candidate target location based on multi-dimensional parameters of the candidate target locations. These multi-dimensional parameters may include: coverage parameters, occlusion rate, etc. Here, using multiple target locations to place the laser scanner is to eliminate occlusion blind spots through multi-view scanning, thereby controlling the accumulation of point cloud stitching errors. The target location needs to meet the following conditions: 1. Geometric Coverage: The point cloud overlap rate between adjacent scanning positions should be no less than 30% to ensure reliable feature point matching. For example, for a 6m × 3m composite slab, the scanner spacing should be controlled at 4-5m. Furthermore, temporary facilities such as component support frames and hoisting rings should be avoided to ensure uninterrupted laser path.

[0021] 2. Precise control: The distance between the scanner and the surface of the precast composite slab component should be within the effective measurement range, and the distance fluctuation should not exceed 10%. The laser incident angle of the laser scanner placed at the target location should not exceed 70° to avoid data distortion caused by large-angle reflection.

[0022] In some embodiments, the laser scanner is deployed at the target location. Furthermore, to improve the stability of the laser scanning, the laser scanner can be fixed to a mounting bracket. The laser scanner rapidly acquires the coordinate information of a dense point cloud on the surface of the target object by emitting laser pulses and analyzing the reflected signals, combined with the scanning direction recorded by an angle encoder.

[0023] In some embodiments, the precast composite slab component can be a beam-mounting component for use in large commercial projects. Exemplarily, the precast composite slab component is a beam-mounting component for multi-story connecting corridors and pedestrian streets; further exemplarily, the precast composite slab component is a beam-mounting component for large underground parking garages.

[0024] In some embodiments, the point cloud model is a point cloud model of a pre-defined composite slab component. The point cloud model is a set of spatial coordinate points calculated by measuring the round-trip time or phase difference of a laser beam emitted by a laser scanner after it shines on the surface of the pre-defined composite slab component. Each point contains three-dimensional coordinates (x, y, z) and reflection intensity information. The collection of a large number of points forms a digital model that perfectly corresponds to the surface geometry of the pre-defined composite slab component. For example, scanning a pre-defined composite slab component that is 6 meters long and 2 meters wide may generate millions of points to describe its flatness, curvature, etc.

[0025] In some embodiments, the preset data is a set of core parameters for a preset composite slab component. This preset data may include geometric property parameters, material performance parameters, connection parameters, etc. This preset data can be obtained from the composite slab component parameters provided by the manufacturer. It should be noted that the above is merely an illustrative example and does not constitute a complete limitation on all possible methods of obtaining preset data; it is simply not exhaustive.

[0026] In some embodiments, the Building Information Modeling (BIM) model is a digital tool that integrates information from the entire lifecycle of a building project based on three-dimensional technology. This BIM model is used to generate a target preset model based on preset data of prefabricated composite slab components. This target preset model is a three-dimensional (3D) model integrating multi-dimensional data.

[0027] In some embodiments, matching the point cloud model with the target preset model may include: establishing a unified coordinate system reference; extracting features from the point cloud model to obtain a first key feature; extracting features from the target preset model to obtain a second key feature; and calculating the matching degree based on the first and second key features. The first key feature may include geometric dimensions, spatial location, and morphological deformation, etc. For example, assuming the first preset threshold is set to 0.1, and the matching degree calculated based on the first and second key features is 0.095, then multiple installation points for the composite slab beam installation and the normal state parameters of these installation points can be determined based on the point cloud model and the target preset model. Here, the setting of the first preset threshold can be adjusted according to the needs of the construction project.

[0028] In some embodiments, determining multiple installation points for the composite slab installation into the beam and the normal state parameters of these installation points based on the point cloud model and the target preset model may include: determining multiple first target points based on a first key feature; determining multiple second target points in the target preset model corresponding to the multiple first target points based on the multiple first target points; optimizing and adjusting the first and second target points to output multiple installation points. The normal parameter information of these installation points may include: geometric parameters, position parameters, state parameters, and angle parameters. It should be noted that the above is merely an illustrative example and does not constitute a complete limitation on all possible normal parameter information for the installation points; it is simply not exhaustive.

[0029] The solution of this disclosure involves reverse modeling precast composite slab components using laser scanners placed at multiple target locations to generate point cloud models. Preset data of the precast composite slab components is input into a building information model (BIM) to generate a target preset model. The point cloud model is then matched with the target preset model. When the matching degree between the point cloud model and the target preset model is detected to be less than a first preset threshold, multiple installation points for the precast composite slab components to be installed into beams and normal state parameters of these installation points are determined based on the point cloud model and the target preset model. This improves the accuracy of the composite slab installation positioning into beams, avoids structural hazards caused by installation misalignment, and enhances the stability and safety of the building structure.

[0030] In this embodiment of the disclosure, a point cloud model is generated by reverse modeling a prefabricated composite slab component using laser scanners placed at multiple target locations. This includes: scanning the prefabricated composite slab component using laser scanners placed at the target locations to obtain the original point cloud data returned by each laser scanner; preprocessing the original point cloud data returned by each laser scanner; and then stitching the original point cloud data returned by each laser scanner together to obtain a point cloud model.

[0031] In some embodiments, the raw point cloud data is an unprocessed set of discrete points on the object surface directly acquired by a laser scanner. Specifically, the raw point cloud data is generated by a laser scanner by emitting a laser and measuring the time, phase, or intensity of the reflected signal to calculate the three-dimensional coordinates (x, y, z) or reflection intensity of each point on the object surface. The collected points are distributed in a disordered or ordered manner, collectively forming the geometric contour of the object. Preprocessing of the raw point cloud data includes denoising and filtering, format unification, etc. This is not a complete limitation on all possible preprocessing methods; the preprocessing methods can be increased or decreased depending on the characteristics of the raw point cloud data.

[0032] Thus, by scanning the prefabricated composite slab components with laser scanners placed at the target locations and obtaining the original point cloud data returned by each laser scanner, multi-view coverage can be achieved, scanning blind spots can be reduced, and the comprehensiveness of the original point cloud data can be improved. After preprocessing the original point cloud data of multiple targets, the original point cloud data returned by each laser scanner can be stitched together to obtain a point cloud model, which can improve the accuracy of the point cloud model.

[0033] In this embodiment of the disclosure, inputting preset data of prefabricated composite slab components into a building information model to generate a target preset model includes: inputting preset data of prefabricated composite slab components into a building information model, generating an initial preset model based on the preset data; simulating the beam installation process of the initial preset model through a visualization unit of the building information model, and adjusting the beam installation process based on the initial preset model to obtain the target preset model.

[0034] In some embodiments, the initial preset model is a digital 3D model created in the BIM model based on preset data of prefabricated composite slab components. The visualization unit is a functional module in the BIM model used for dynamically simulating the construction process. This module can associate the initial prefabricated model with the construction schedule to generate a dynamic prefabricated composite slab component installation sequence, which is used to simulate the beam installation process of the initial preset model. This module can also perform collision detection and interactive adjustments on the beam installation process of the initial preset model to obtain the target preset model. Specifically, the interactive adjustment can perform geometric corrections on the initial preset model based on the collision detection results; the interactive adjustment can also adjust the installation path data of the initial preset model, thereby improving construction efficiency.

[0035] In this way, by simulating the beam installation process of the initial preset model through the visualization unit of the building information model, and adjusting the beam installation process based on the initial preset model, the installation path can be dynamically optimized and the accuracy of the target preset model can be improved.

[0036] In this embodiment of the disclosure, matching the point cloud model with the target preset model further includes: when it is detected that the matching degree between the point cloud model and the target preset model is not less than a first preset threshold, the beam installation process of the target preset model in the N-1th round is simulated through the visualization unit of the building information model, and the beam installation process based on the preset model in the N-1th round is adjusted to obtain the target preset model in the Nth round, where N is an integer not less than 2.

[0037] In some embodiments, assuming N is 3 and the first preset threshold is 0.1, when the matching degree between the point cloud model and the target preset model is detected to be 0.22, the beam installation process of the second round of the target preset model A is simulated through the visualization unit of the building information model. Based on the beam installation process of the second round of the target preset model A, adjustments are made to obtain the target preset model B of the third round of iteration. The target preset model B is matched with the point cloud model. When the matching degree between the point cloud model and the target preset model B is detected to be less than the first preset threshold, multiple installation points and normal state parameters of the composite slab beam installation are determined based on the point cloud model and the target preset model B.

[0038] Thus, by using the visualization units of the Building Information Modeling (BIM) to retrospectively simulate the beam installation process of the target preset model in the N-1th round, it is possible to accurately trace the source of construction errors and perform multi-round iterative optimization, which helps to improve the accuracy of composite slab beam installation.

[0039] In this embodiment of the disclosure, the composite slab beam installation positioning method further includes: acquiring the operating status parameters of multiple installation points of the precast composite slab component through a composite slab beam installation monitoring system; if the matching degree between the operating status parameters of the multiple installation points and the normal status parameters of the multiple installation points is less than a second preset threshold, then the composite slab beam installation is performed normally; if the matching degree between the operating status parameters of the multiple installation points and the normal status parameters of the multiple installation points is not less than the second preset threshold, then the composite slab beam installation is stopped.

[0040] In some embodiments, the operational status parameter is a quantitative indicator describing the real-time status of each key stage during the installation of the precast composite slab component into the beam. This operational status parameter includes geometric parameters, positional parameters, state parameters, and angular parameters. It should be noted that the above is merely an illustrative example and does not constitute a complete limitation on all possible operational parameter information for the installation point; it is simply not exhaustive.

[0041] For example, the pre-set composite slab beam installation monitoring system acquires the operational status parameters of installation points a, b, c, and d of the composite slab at three preset time periods: t1, t2, and t3. The system then compares the matching degree of these operational status parameters with the normal status parameters of the same three installation points. If the matching degree of any one of these installation points is less than a second preset threshold, the composite slab beam installation proceeds normally. If the matching degree of any one of these installation points is not less than the second preset threshold, the composite slab beam installation is stopped. Here, the second preset threshold can be set according to the needs of the building project.

[0042] For example, the pre-set composite slab beam installation monitoring system acquires the operational status parameters of installation points a', b', c', and d' of the composite slab within a pre-set time period t5-t7. The system then compares the matching degree of these operational status parameters with the normal status parameters of the same installation points. If the matching degree of any one of these installation points is less than a second pre-set threshold, the composite slab beam installation proceeds normally. If the matching degree of any one of these installation points is not less than the second pre-set threshold, the composite slab beam installation is stopped. Here, the second pre-set threshold can be set according to the needs of the building project.

[0043] Thus, by acquiring the real-time operating status parameters of multiple installation points through the composite slab beam installation monitoring system and comparing these parameters with the normal status parameters of the same installation points, the accuracy of composite slab beam installation can be improved.

[0044] Figure 2 This is a schematic diagram of the installation monitoring process of composite slabs into beams according to an embodiment of the present disclosure, as shown below. Figure 2 As shown, the method includes at least the following steps: S201: The precast composite slab beam installation monitoring system performs real-time monitoring of multiple installation points during the beam installation process, obtaining operational status parameters for each installation point. The system includes multiple drones, multiple sensors, and a controller. The drones are used to acquire real-time images; the sensors are used to acquire operational status parameters for multiple installation points; the controller analyzes the real-time images and operational status parameters to generate monitoring signals; and the monitoring signals are used to indicate whether any abnormalities have occurred during the beam installation of the precast composite slab components.

[0045] Figure 3 A schematic diagram of the application of the composite slab beam installation monitoring system is shown, such as... Figure 3As shown, the composite slab beam installation monitoring system is an intelligent construction monitoring platform integrating multi-source data acquisition, intelligent analysis, and real-time feedback control. Its core components include three main modules: multiple drones, multiple sensors, and a controller. These modules work collaboratively to achieve dynamic perception and precise control of the installation process. Specifically, the drones in this composite slab beam installation monitoring system can be selected according to the needs of the construction project; for example, multi-rotor drones. The drones in the system can be equipped with lidar and binocular vision sensors to identify dynamic obstacles (such as hoisted composite slabs and moving construction vehicles) in real time and plan safe paths. Furthermore, the BIM model of the composite slab beam installation construction environment can be imported into the controller of the system to mark hazardous areas such as areas with dense reinforcement and high-altitude work areas, and automatically generate obstacle avoidance flight paths. The sensors in this system can be selected according to the needs of the construction project; for example, geometric parameter sensors, mechanical parameter sensors, and environmental parameter sensors. The controller in this composite slab beam installation monitoring system analyzes real-time images acquired by a drone and operational status parameters from multiple installation points obtained by sensors to generate monitoring signals. These signals are used to indicate whether any abnormalities have occurred during the composite slab beam installation. Specifically, the monitoring signal can be a red alarm signal to alert construction personnel of any abnormalities in the composite slab beam installation. For example, detecting a monitoring signal generated by the controller can trigger the disconnection of the tower crane's power supply. Another example is that detecting a monitoring signal can push alarm information (including the abnormal location, parameter values, and suggested handling measures) to the mobile phones of on-site management personnel. Yet another example is that detecting a monitoring signal can highlight the abnormal area in the BIM model and rewind the installation process data from the previous 5 seconds.

[0046] Thus, by integrating real-time UAV image acquisition, multi-type sensor parameter perception, and intelligent controller analysis functions into the composite slab beam installation monitoring system, intelligent and digital monitoring of composite slab beam installation can be achieved, thereby improving accuracy. Simultaneously, it provides quantitative evidence for quality traceability of composite slab beam installation positioning, promoting the development of intelligent prefabricated building installation.

[0047] This disclosure provides a composite slab beam installation and positioning device, such as... Figure 4As shown, the precast composite slab beam installation positioning device includes: a first generation module 401, used to reverse model the precast composite slab component by placing laser scanners at multiple target locations to generate a point cloud model; a second generation module 402, used to input the preset data of the precast composite slab component into the building information model to generate a target preset model; and a determination module 403, used to match the point cloud model with the target preset model. When the matching degree between the point cloud model and the target preset model is detected to be less than a first preset threshold, multiple installation points for the precast composite slab component beam installation and normal state parameters of the multiple installation points are determined based on the point cloud model and the target preset model.

[0048] In some embodiments, the first generation module 401 includes: scanning the prefabricated composite slab component by a laser scanner placed at a target location to obtain the original point cloud data returned by each laser scanner; preprocessing the original point cloud data returned by each laser scanner, and then stitching the original point cloud data returned by each laser scanner together to obtain a point cloud model.

[0049] In some embodiments, the second generation module 402 includes: inputting preset data of prefabricated composite slab components into a building information model, generating an initial preset model based on the preset data; simulating the beam installation process of the initial preset model through a visualization unit of the building information model, and adjusting the beam installation process based on the initial preset model to obtain a target preset model.

[0050] In some embodiments, matching the point cloud model with the target preset model further includes: when it is detected that the matching degree between the point cloud model and the target preset model is not less than a first preset threshold, then simulating the beam installation process of the target preset model in the (N-1)th round through the visualization unit of the building information model, and adjusting based on the beam installation process of the target preset model in the (N-1)th round to obtain the target preset model in the Nth round, where N is an integer not less than 2.

[0051] In some embodiments, the composite slab beam installation positioning device further includes: an acquisition module ( Figure 4 (Not shown in the image), used to obtain the operating status parameters of multiple installation points of the composite slab through the composite slab beam installation monitoring system; normally executes the installation module ( Figure 4 (Not shown in the image), used to ensure that if the matching degree between the operating status parameters of multiple installation points and the normal status parameters of multiple installation points is less than a second preset threshold, then the composite slab beam installation is performed normally; the installation module is stopped. Figure 4 (Not shown in the image) is used to stop the installation of the composite slab into the beam if the matching degree between the operating status parameters of multiple installation points and the normal status parameters of multiple installation points is not less than a second preset threshold.

[0052] The composite slab beam installation and positioning device of this disclosure can improve the accuracy of composite slab beam installation and positioning, avoid structural hazards caused by installation misalignment, and enhance the stability and safety of building structures.

[0053] This disclosure provides a monitoring device for the installation of composite slabs into beams, such as... Figure 5 As shown, the configuration device includes: a monitoring module, which is used to monitor multiple installation points of precast composite slab components in real time throughout the installation process of the composite slab beam installation monitoring system, and obtain the operating status parameters of multiple installation points.

[0054] The composite slab beam installation monitoring device of this disclosure integrates real-time image acquisition by UAV, multi-type sensor parameter perception and intelligent analysis by controller through the composite slab beam installation monitoring system, which can realize intelligent and digital monitoring of composite slab beam installation, thereby helping to improve accuracy.

[0055] This disclosure provides a schematic diagram of a scenario for a composite slab installation and positioning method for beams, as shown in the embodiment. Figure 6 As shown. As previously described, the composite slab beam installation and positioning method provided in this disclosure is applied to computer equipment.

[0056] Specifically, the computer device can perform the following operations: A point cloud model is generated by reverse modeling the precast composite slab components using laser scanners placed at multiple target locations. Input the preset data of the prefabricated composite slab components into the building information model to generate the target preset model; The point cloud model is matched with the target preset model. When the matching degree between the point cloud model and the target preset model is less than the first preset threshold, multiple installation points and normal state parameters of the precast composite slab components are determined based on the point cloud model and the target preset model.

[0057] It should be understood that Figure 6 The scene diagrams shown are merely illustrative and not restrictive; those skilled in the art can interpret them based on... Figure 6 Even with various obvious changes and / or substitutions to the examples, the resulting technical solutions still fall within the scope of this disclosure.

[0058] The acquisition, storage, and application of user personal information involved in the technical solution disclosed herein comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0059] Figure 7 This is a structural block diagram of a computer device according to an embodiment of the present disclosure. Figure 7As shown, the computer device includes a memory 710 and a processor 720. The memory 710 stores a computer program that can run on the processor 720. The number of memories 710 and processors 720 can be one or more. The memory 710 can store one or more computer programs, which, when executed by the computer device, cause the computer device to perform the methods provided in the above-described method embodiments. The computer device may further include a communication interface 730 for communicating with external devices and performing data exchange and transmission.

[0060] If the memory 710, processor 720, and communication interface 730 are implemented independently, they can be interconnected via a bus to communicate with each other. This bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. This bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 7 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0061] Optionally, in a specific implementation, if the memory 710, processor 720, and communication interface 730 are integrated on a single chip, then the memory 710, processor 720, and communication interface 730 can communicate with each other through an internal interface.

[0062] It should be understood that the aforementioned processor can be a Central Processing Unit (CPU), or other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. General-purpose processors can be microprocessors or any conventional processor. It is worth noting that the processor can be a processor supporting Advanced Reduced Instruction Set Machines (ARM) architecture.

[0063] Furthermore, the aforementioned memory may include read-only memory and random access memory, and may also include non-volatile random access memory. The memory may be volatile or non-volatile, or may include both. Non-volatile memory may include read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory may include random access memory (RAM), which serves as an external cache. Many forms of RAM are available by way of example, but not limitation. Examples include Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), Synchronous DRAM (SDRAM), Double Data Rate Synchronous DRAM (DDR SDRAM), Enhanced Synchronous DRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct RAMBUS RAM (DR RAM).

[0064] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this disclosure is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line, DSL) or wireless (e.g., infrared, Bluetooth, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access, or a data storage device such as a server or data center that integrates one or more available media. The available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., Digital Versatile Discs (DVDs)), or semiconductor media (e.g., Solid State Disks (SSDs)). It is worth noting that the computer-readable storage media mentioned in this disclosure can be non-volatile storage media; in other words, they can be non-transient storage media.

[0065] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by hardware, or by a program instructing related hardware. The program can be stored in a computer-readable storage medium, such as a read-only memory, a disk, or an optical disk.

[0066] In the description of the embodiments of this disclosure, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this disclosure. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of those different embodiments or examples.

[0067] The above are merely exemplary embodiments of this disclosure and are not intended to limit this disclosure. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this disclosure should be included within the protection scope of this disclosure.

Claims

1. A method for positioning and installing composite slabs into beams, characterized in that, include: A point cloud model is generated by reverse modeling the precast composite slab components using laser scanners placed at multiple target locations. The preset data of the prefabricated composite slab component is input into the building information model to generate the target preset model; The point cloud model is matched with the target preset model. When the matching degree between the point cloud model and the target preset model is less than a first preset threshold, multiple installation points for the precast composite slab component to be installed into the beam and normal state parameters of the multiple installation points are determined based on the point cloud model and the target preset model.

2. The method according to claim 1, characterized in that, The process of reverse modeling precast composite slab components using laser scanners placed at multiple target locations to generate point cloud models includes: The prefabricated composite slab component is scanned by the laser scanner placed at the target location to obtain the raw point cloud data returned by each laser scanner; After preprocessing the raw point cloud data returned by each laser scanner, the raw point cloud data returned by each laser scanner are stitched together to obtain the point cloud model.

3. The method according to claim 1, characterized in that, The step of inputting the preset data of the prefabricated composite slab component into the building information model to generate the target preset model includes: The preset data of the prefabricated composite slab component is input into the building information model, and an initial preset model is generated based on the preset data; The beam installation process of the initial preset model is simulated by the visualization unit of the building information model, and adjustments are made based on the beam installation process of the initial preset model to obtain the target preset model.

4. The method according to claim 3, characterized in that, The step of matching the point cloud model with the target preset model further includes: when it is detected that the matching degree between the point cloud model and the target preset model is not less than a first preset threshold, the beam installation process of the target preset model in the N-1th round is simulated through the visualization unit of the building information model, and adjustments are made based on the beam installation process of the target preset model in the N-1th round to obtain the target preset model in the Nth round, where N is an integer not less than 2.

5. The method according to claim 1, characterized in that, Also includes: The operating status parameters of multiple installation points of the precast composite slab component are obtained through the beam installation monitoring system. If the matching degree between the operating status parameters of the plurality of installation points and the normal status parameters of the plurality of installation points is less than a second preset threshold, the installation of the precast composite slab component into the beam is performed normally; if the matching degree between the operating status parameters of the plurality of installation points and the normal status parameters of the plurality of installation points is not less than the second preset threshold, the installation of the precast composite slab component into the beam is stopped.

6. A method for monitoring the installation of composite slabs into beams, characterized in that, include: A precast composite slab installation monitoring system is used to monitor multiple installation points of precast composite slab components in beams throughout the entire installation process in real time, obtaining operational status parameters for each installation point. The system includes multiple drones, multiple sensors, and a controller. The drones are used to acquire real-time images; the sensors are used to acquire operational status parameters for multiple installation points; and the controller analyzes the real-time images and operational status parameters to generate monitoring signals. These monitoring signals are used to indicate whether any abnormalities have occurred during the installation of the precast composite slab components in beams.

7. A composite slab beam installation and positioning device, characterized in that, include: The first generation module is used to reverse model the prefabricated composite slab components by placing laser scanners at multiple target locations to generate point cloud models; The second generation module is used to input the preset data of the prefabricated composite slab component into the building information model to generate the target preset model; The determination module is used to match the point cloud model with the target preset model. When the matching degree between the point cloud model and the target preset model is less than a first preset threshold, the module determines multiple installation points for the precast composite slab component to be installed into the beam and the normal state parameters of the multiple installation points based on the point cloud model and the target preset model.

8. A monitoring device for the installation of composite slabs into beams, characterized in that, include: The monitoring module is used to perform real-time monitoring of multiple installation points of precast composite slab components during beam installation via a composite slab beam installation monitoring system, obtaining operational status parameters for each installation point. The composite slab beam installation monitoring system includes multiple drones, multiple sensors, and a controller. The drones are used to acquire real-time images; the sensors are used to acquire operational status parameters for multiple installation points; the controller is used to analyze the real-time images and the operational status parameters for multiple installation points to generate monitoring signals; the monitoring signals are used to indicate whether any abnormalities have occurred during the installation of the precast composite slab components into the beam.

9. A computer device, characterized in that, The computer device includes a memory and a processor, the memory storing code, and the processor being configured to retrieve the code and perform the method as described in any one of claims 1 to 6.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1 to 6.

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