A prefabricated house prefabricated component rapid installation precise positioning system

CN120719834BActive Publication Date: 2026-10-27CHINA MCC22 GROUP CORP LTD
View PDF 2 Cites 0 Cited by

Patent Information

Application Number
CN202510872758.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-06-27
Publication Date
2026-10-27
Estimated Expiration
2045-06-27

AI Technical Summary

Technical Problem

在运输环节,运输路线规划缺乏实时性和灵活性,没有充分考虑施工现场的实时交通状况和障碍物信息,导致运输过程中经常出现拥堵、绕路等情况,增加了运输时间和成本

Benefits of technology

该装配式住宅预制构件快速安装精准定位系统,通过定位基准模块毫米级的高精度定位基准点,为构件安装提供了精确空间坐标基准;构件姿态调整模块具备微调功能且微调精度达±0.1 mm,可对构件姿态进行精细调整;精准定位控制模块采用基于模糊控制和神经网络控制的混合算法,能根据不同安装环境和构件类型自动调整参数,提高定位精度和稳定性。同时,质量检测模块结合非破坏性检测技术与图像识别技术,对安装后的构件进行全面检测,能准确识别内部缺陷并进行标注,对连接部位进行强度检测确保连接牢固。

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN120719834B_ABST
    Figure CN120719834B_ABST
Patent Text Reader

Abstract

The application belongs to the technical field of prefabricated component installation system, and is especially a prefabricated component rapid installation and accurate positioning system for fabricated house, which comprises: a prefabricated component transportation module for transporting prefabricated components from a production site to a construction site; the application provides a high-precision positioning reference point of millimeter level through a positioning reference module, thereby providing an accurate spatial coordinate reference for component installation; a component posture adjustment module has fine adjustment function and fine adjustment accuracy of ±0.1 mm, and can finely adjust the component posture; an accurate positioning control module adopts a hybrid algorithm based on fuzzy control and neural network control, can automatically adjust parameters according to different installation environments and component types, and improves positioning accuracy and stability. Meanwhile, a quality detection module combines non-destructive testing technology and image recognition technology, comprehensively detects the installed components, can accurately identify internal defects and mark them, and detects the strength of the connecting parts to ensure firm connection.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] This invention relates to the field of prefabricated component installation system technology, and in particular to a rapid and precise positioning system for prefabricated components of prefabricated housing. Background Technology

[0002] With the rapid transformation of the construction industry towards industrialization and intelligentization, prefabricated housing is gaining an increasingly larger share of the construction market due to its significant advantages such as fast construction speed, controllable quality, energy conservation, and environmental protection. Prefabricated housing uses prefabricated components manufactured in factories and then transported to the construction site for assembly, greatly shortening the construction period and improving construction efficiency, meeting the modern society's demand for efficient and green buildings. During the installation of prefabricated components in prefabricated housing, positioning accuracy is a key factor affecting building quality and structural safety. However, existing installation positioning technologies have many shortcomings. On the one hand, the accuracy of the positioning benchmark is limited, failing to meet the high precision requirements at the millimeter level, resulting in significant positional deviations of prefabricated components during installation, affecting the overall structural stability and aesthetics of the building. For example, during wall installation, if the positioning benchmark is inaccurate, the gaps between walls will be uneven, affecting not only the waterproofing and thermal insulation performance of the walls but also potentially causing cracks under stress. On the other hand, the precision and flexibility of component posture adjustment are insufficient, making it impossible to accurately adjust the horizontality, verticality, and installation angle of the components. Traditional adjustment methods often rely on manual experience and simple mechanical devices, resulting in low accuracy and efficiency, making it difficult to meet the requirements of high-precision installation. The transportation and installation of prefabricated components involves multiple stages, and existing technologies have significant shortcomings in the coordination and efficiency of these stages. In the transportation stage, route planning lacks real-time and flexibility, failing to fully consider real-time traffic conditions and obstacle information at the construction site, leading to frequent congestion and detours, increasing transportation time and costs. In the installation stage, the lack of effective unified management and scheduling among modules, along with unreasonable work sequences and time arrangements, results in chaotic and inefficient installation processes. For example, when multiple prefabricated components are installed simultaneously, the lack of proper scheduling may lead to idle equipment and waiting personnel, extending the overall project duration. Summary of the Invention

[0003] To address the aforementioned problems, this invention proposes a rapid and precise positioning system for prefabricated components in prefabricated housing, which more accurately solves the problems mentioned in the background section.

[0004] This invention is achieved through the following technical solution: This invention proposes a rapid installation and precise positioning system for prefabricated components of prefabricated housing, comprising: a prefabricated component transportation module for transporting prefabricated components from the production site to the construction site; this module includes an intelligent navigation submodule and a cargo fixing submodule; the intelligent navigation submodule is based on Global Positioning System (GPS) and Geographic Information System (GIS) technologies, and plans the optimal transportation route in conjunction with map data of the construction site; the cargo fixing submodule uses an adjustable fixing device that adapts to the shape and size of the prefabricated components to ensure the stability of the prefabricated components during transportation; Positioning reference module: Set up at the construction site, it contains multiple high-precision positioning reference points using laser positioning technology or satellite positioning technology, with a position accuracy of millimeters; the positioning reference points are distributed in key locations on the construction site, forming a three-dimensional spatial positioning network, providing spatial coordinate references for the installation of prefabricated components; Component posture adjustment module: Installed on the precast component hoisting equipment, it includes a horizontal adjustment mechanism, a vertical adjustment mechanism, and an angle adjustment mechanism; the horizontal adjustment mechanism moves the precast component horizontally via hydraulic or electric means to adjust its levelness; the vertical adjustment mechanism uses a jack or screw mechanism to precisely adjust the verticality of the precast component; the angle adjustment mechanism changes the installation angle of the precast component through a rotating device to meet design requirements. Precision positioning control module: It adopts a closed-loop control system, receives data from the positioning reference module and the component posture adjustment module in real time, and calculates the adjustment amount of the prefabricated component through an algorithm; it sends the adjustment amount to the component posture adjustment module, drives it to make corresponding adjustments, until the prefabricated component reaches the predetermined installation position and posture. Information interaction module: Employs wireless communication technologies such as Wi-Fi, Bluetooth, or ZigBee to enable data transmission and sharing between modules, and features data encryption to ensure data security and confidentiality during transmission; Installation feedback module: Real-time monitoring of the installation status of prefabricated components, including positional deviation and attitude changes, is achieved through displacement sensors, angle sensors, and pressure sensors, and the monitored data is transmitted to the system integration management platform in real time. Quality inspection module: Employs non-destructive testing technologies, such as ultrasonic testing, X-ray testing, or infrared thermal imaging, to detect internal defects in prefabricated components after installation; simultaneously, it performs strength testing on the connection points of prefabricated components to ensure that the connections are firm and reliable. Safety monitoring module: includes hoisting equipment status monitoring sensors, personnel positioning system and safety alarm device; the hoisting equipment status monitoring sensors monitor the operating parameters of the hoisting equipment in real time, such as lifting capacity, lifting height and operating speed; the personnel positioning system uses positioning tags worn by personnel to track their location on the construction site in real time; when a safety hazard is detected, the safety alarm device will issue an alarm in a timely manner. Data storage and analysis module: This module uses database technology to store various types of data during the installation process, including positioning data, attitude data, quality inspection data, and safety monitoring data; it also uses data mining and machine learning algorithms to analyze the stored data and identify patterns and problems during the installation process. System integration management platform: It manages and schedules the above modules in a unified manner, enabling rapid installation and precise positioning of prefabricated components for prefabricated housing.

[0005] Preferably, when planning the optimal transportation route, the intelligent navigation submodule also considers the real-time traffic conditions and obstacle information at the construction site, and dynamically adjusts the transportation route by interacting with the monitoring system at the construction site.

[0006] Preferably, the high-precision positioning reference point of the positioning reference module also has an automatic calibration function, which periodically compares data with an external high-precision positioning system to ensure that the positioning accuracy always meets the millimeter-level requirements.

[0007] Preferably, the horizontal adjustment mechanism, vertical adjustment mechanism, and angle adjustment mechanism of the component posture adjustment module all have fine-tuning functions, with a fine-tuning accuracy of ±0.1 mm, to meet high-precision installation requirements.

[0008] Preferably, the algorithm of the precise positioning control module is a hybrid algorithm based on fuzzy control and neural network control, which can automatically adjust the control parameters according to different installation environments and prefabricated component types, thereby improving positioning accuracy and stability.

[0009] Preferably, the wireless communication technology of the information interaction module adopts frequency hopping spread spectrum technology to enhance the anti-interference capability of communication and ensure the reliability of data transmission in complex construction site environments.

[0010] Preferably, the displacement sensor, angle sensor, and pressure sensor of the installation feedback module are all designed with redundancy. When one sensor fails, the other sensors can continue to work normally, ensuring the accuracy of the installation feedback.

[0011] Preferably, the non-destructive testing technology of the quality inspection module also incorporates image recognition technology to automatically classify and label detected defects, thereby improving inspection efficiency and accuracy.

[0012] Preferably, the personnel positioning system of the safety monitoring module also has a personnel behavior analysis function, which can determine whether the personnel have violated regulations by analyzing their movement trajectory and actions, and issue an alarm in a timely manner.

[0013] Preferably, the data mining and machine learning algorithms of the data storage and analysis module can also predict potential problems during the installation of prefabricated components based on historical data and formulate countermeasures in advance.

[0014] Compared with the prior art, the present invention provides a rapid and precise positioning system for prefabricated components of prefabricated housing, which has the following advantages: This prefabricated housing component rapid installation precision positioning system provides accurate spatial coordinate references for component installation through a millimeter-level high-precision positioning reference module. The component posture adjustment module features fine-tuning capabilities with an accuracy of ±0.1 mm, allowing for precise adjustments to component posture. The precision positioning control module employs a hybrid algorithm based on fuzzy control and neural network control, automatically adjusting parameters according to different installation environments and component types to improve positioning accuracy and stability. Simultaneously, the quality inspection module combines non-destructive testing technology with image recognition technology to comprehensively inspect installed components, accurately identifying and marking internal defects, and performing strength testing on connection points to ensure secure connections.

[0015] This prefabricated housing component rapid installation and precise positioning system, through the intelligent navigation sub-module of the prefabricated component transportation module, can not only plan routes based on GPS and GIS technology combined with map data, but also take into account real-time traffic conditions and obstacle information. By interacting with the construction site monitoring system, it dynamically adjusts the route, shortening the transportation time. The system integration management platform manages and schedules each module in a unified manner, and reasonably arranges the work sequence and time, so that the entire installation process is carried out efficiently and orderly.

[0016] This prefabricated housing component rapid installation and precise positioning system enhances the anti-interference capability of wireless communication by employing frequency hopping spread spectrum technology, ensuring the reliability of data transmission in complex construction site environments. The displacement sensor, angle sensor, and pressure sensor of the installation feedback module adopt a redundant design, so that when one sensor fails, the other sensors can continue to work normally, ensuring the accuracy of installation feedback. Attached Figure Description

[0017] Figure 1 This is a structural schematic diagram of a rapid installation and precise positioning system for prefabricated components of prefabricated housing proposed in this invention. Detailed Implementation

[0018] To fully understand the purpose, features and effects of the present invention, the present invention will be described in detail through the following specific embodiments, but the present invention is not limited thereto.

[0019] See Figure 1 An embodiment of the present invention proposes a rapid installation and precise positioning system for prefabricated components of prefabricated housing, which mainly consists of a prefabricated component transportation module, a positioning reference module, a component posture adjustment module, a precise positioning control module, an information interaction module, an installation feedback module, a quality inspection module, a safety monitoring module, a data storage and analysis module, and a system integration management platform.

[0020] Precast Component Transportation Module: This module includes an intelligent navigation submodule and a cargo securing submodule. The intelligent navigation submodule, based on Global Positioning System (GPS) and Geographic Information System (GIS) technologies, plans the optimal transportation route using map data from the construction site. For example, when transporting precast wall panels, the system comprehensively considers factors such as road width, height restrictions, and the location of the construction site entrance to plan an efficient and safe transportation route. The cargo securing submodule uses adjustable securing devices adapted to the shape and size of the precast components. For cuboid precast beams, the securing device uses telescopic rods and clamps to tightly fit the beam surface, ensuring that the precast components do not shift or shake during transportation. Actual transportation tests showed that the maximum displacement of the precast components during transportation did not exceed 1 mm, ensuring transportation stability.

[0021] Positioning reference module: Located on the construction site, this module contains multiple high-precision positioning reference points using laser or satellite positioning technology, achieving millimeter-level accuracy. These reference points are distributed at key locations on the construction site, such as the four corners of the building and specific locations on each floor, forming a three-dimensional spatial positioning network. During the installation of precast columns, this positioning network accurately determines the column's installation position. Actual measurements show a positioning error of no more than ±0.5 mm, providing an accurate spatial coordinate reference for the installation of precast components.

[0022] Component posture adjustment module: Installed on the precast component hoisting equipment, it includes a horizontal adjustment mechanism, a vertical adjustment mechanism, and an angle adjustment mechanism. The horizontal adjustment mechanism uses hydraulic or electric means to move the precast component horizontally, adjusting its levelness. For example, when installing a precast floor slab, if the floor slab's levelness deviation is large, the horizontal adjustment mechanism will use the extension and retraction of a hydraulic cylinder to move the floor slab horizontally until the levelness deviation is within the allowable range. The vertical adjustment mechanism uses jacks or screw mechanisms to precisely adjust the verticality of the precast component. When installing a precast shear wall, the vertical adjustment mechanism will use data provided by the installation feedback module to precisely adjust the wall's verticality by rotating the screw; the verticality deviation is tested to be no more than ±1 mm. The angle adjustment mechanism changes the installation angle of the precast component through a rotating device to meet design requirements. When installing a precast balcony with a certain tilt angle, the angle adjustment mechanism will accurately rotate the balcony to match its installation angle with the design angle, with an angle deviation of no more than ±0.1°.

[0023] Precision Positioning Control Module: Employing a closed-loop control system, this module receives data in real-time from the positioning reference module and the component posture adjustment module, and calculates the adjustment amount for the prefabricated component using algorithms. For example, during the installation of a prefabricated bay window, the system calculates the adjustment amount in the horizontal, vertical, and angular directions based on the bay window's installation position coordinates provided by the positioning reference module and the current position and posture data of the bay window fed back by the component posture adjustment module. This adjustment amount is then sent to the component posture adjustment module, driving it to make corresponding adjustments until the prefabricated component reaches the predetermined installation position and posture. Actual installation verification shows that the bay window's installation position deviation does not exceed ±1 mm, and its posture deviation does not exceed ±0.1°, meeting the high-precision installation requirements.

[0024] Information Interaction Module: Employing wireless communication technologies such as Wi-Fi, Bluetooth, or ZigBee, this module enables data transmission and sharing between modules. It features data encryption to ensure data security and confidentiality during transmission. For example, during system operation, the positioning reference module transmits encrypted positioning data to the precision positioning control module via Wi-Fi, while the component attitude adjustment module transmits encrypted attitude data to the precision positioning control module via Bluetooth. Testing showed a data transmission error rate of no more than 0.01%, and no data leakage occurred during transmission, ensuring the accuracy and security of information interaction.

[0025] The installation feedback module monitors the installation status of prefabricated components in real time using displacement, angle, and pressure sensors, including information such as positional deviations and attitude changes, and transmits the monitored data to the system integration management platform in real time. For example, during the installation of a prefabricated staircase, displacement sensors monitor the horizontal and vertical displacements of the staircase, angle sensors monitor changes in the staircase's installation angle, and pressure sensors monitor the pressure between the staircase and the supporting structure. When the detected horizontal displacement of the staircase exceeds 1 mm or the installation angle deviation exceeds 0.1°, the system will issue an alarm promptly. Actual monitoring has shown that this module can accurately and promptly provide installation status information, offering strong support for installation adjustments.

[0026] Quality Inspection Module: Employing non-destructive testing technologies such as ultrasonic testing, X-ray testing, or infrared thermal imaging, this module detects internal defects in installed precast components. Simultaneously, it performs strength testing on the connections between precast components to ensure secure and reliable connections. For example, after installing a precast wall, ultrasonic testing can detect minute cracks and other defects within the wall. Strength testing is performed on the connections between the wall and the floor slab by applying tensile and compressive forces to verify that the strength of the connections meets design requirements. The testing results show that the accuracy rate for detecting internal defects in precast components exceeds 95%, and the pass rate for strength testing of connections reaches 100%, ensuring installation quality.

[0027] The safety monitoring module includes lifting equipment status monitoring sensors, a personnel positioning system, and safety alarm devices. The lifting equipment status monitoring sensors monitor the operating parameters of the lifting equipment in real time, such as lifting capacity, lifting height, and operating speed. For example, when lifting precast components, the sensors monitor the crane's lifting capacity in real time, and the system will issue an alarm when the lifting capacity exceeds the crane's rated lifting capacity. The personnel positioning system tracks the location of personnel on the construction site in real time through positioning tags worn by personnel. When personnel enter a hazardous area, the system will issue an alarm to remind them to leave. The safety alarm device will issue an alarm promptly when a safety hazard is detected. Actual monitoring has shown that this module can effectively monitor the safety status of the construction site, issue timely alarms, and prevent safety accidents from occurring.

[0028] Data storage and analysis module: This module uses database technology to store various types of data during the installation process, including positioning data, posture data, quality inspection data, and safety monitoring data. Data mining and machine learning algorithms are used to analyze the stored data to identify patterns and problems in the installation process. For example, analysis of installation data from multiple prefabricated residential buildings revealed that certain types of prefabricated components are prone to significant installation deviations under specific installation conditions. Based on the analysis results, corresponding improvement measures were developed, enhancing the quality and efficiency of subsequent installations.

[0029] The system integration management platform provides unified management and scheduling for all the above modules, enabling rapid and precise installation and positioning of prefabricated components for prefabricated housing. For example, during installation, the platform rationally arranges the work sequence and timing of each module based on the installation progress and feedback information, ensuring the entire installation process is efficient and orderly. Actual project verification has shown that using this system has improved the installation efficiency of prefabricated components by over 30%, and the installation accuracy has reached industry-leading levels.

[0030] In this invention, the intelligent navigation submodule, when planning the optimal transportation route, considers not only the real-time traffic conditions and obstacle information at the construction site, based on Global Positioning System (GPS) and Geographic Information System (GIS) technologies and combined with map data from the construction site. This intelligent navigation submodule interacts with the construction site's monitoring system to obtain real-time traffic conditions, such as vehicle congestion and the routes of construction vehicles. Simultaneously, it monitors obstacle information in real time through cameras and sensors installed at the construction site, such as temporarily piled building materials and construction equipment. For example, when transporting precast composite slabs, if the originally planned transportation route becomes congested due to other work being carried out at the construction site, and some building materials are temporarily piled on the road, the intelligent navigation submodule will promptly obtain this information and dynamically adjust the transportation route, selecting a route with good traffic conditions and no obstacles. Actual transportation tests have shown that after adopting this dynamic adjustment function, the average transportation time has been reduced by 20%, avoiding transportation delays caused by traffic congestion and obstacles, and improving transportation efficiency.

[0031] In this invention, the high-precision positioning reference point of the positioning reference module has an automatic calibration function. This automatic calibration function is achieved by periodically comparing data with an external high-precision positioning system. For example, during relatively quiet periods at the construction site each day, the positioning reference module automatically interacts with an external high-precision satellite positioning system to obtain positioning data from the external system. It then compares its own positioning data with the data from the external system to calculate the positioning deviation. If the positioning deviation exceeds a set threshold (e.g., ±0.2 mm), the positioning reference module automatically adjusts its own positioning parameters to ensure that the positioning accuracy always meets millimeter-level requirements. Actual testing showed that after one month of continuous use, the positioning accuracy of the reference point remained within ±0.5 mm, meeting the requirements for high-precision installation of prefabricated components.

[0032] In this invention, the horizontal adjustment mechanism, vertical adjustment mechanism, and angle adjustment mechanism of the component posture adjustment module all have fine-tuning functions, with a fine-tuning accuracy of ±0.1 mm. For example, when installing a prefabricated bay window, after initial adjustments, there may still be slight deviations in the horizontality, verticality, and installation angle of the bay window. At this time, the horizontal adjustment mechanism, vertical adjustment mechanism, and angle adjustment mechanism will activate the fine-tuning function. The horizontal adjustment mechanism extends and retracts through a tiny hydraulic cylinder, the vertical adjustment mechanism rotates through a tiny lead screw, and the angle adjustment mechanism rotates through a tiny rotating device to precisely adjust the posture of the bay window. Actual installation verification shows that the installation accuracy of the prefabricated components is further improved after adopting this fine-tuning function. After installing multiple prefabricated bay windows, statistics show that the horizontality deviation, verticality deviation, and angle deviation of the bay windows are all controlled within ±0.1 mm, meeting the requirements for high-precision installation.

[0033] In this invention, the hybrid algorithm can automatically adjust control parameters according to different installation environments and prefabricated component types. For example, when installing large prefabricated components (such as prefabricated frame columns), due to the large weight and volume of the components and the complex installation environment, the algorithm will automatically adjust the parameters of fuzzy control and neural network control to increase the stability and accuracy of control. When installing small prefabricated components (such as prefabricated window sills), the algorithm will adjust the parameters accordingly to improve the control response speed.

[0034] Actual installation tests showed that the hybrid algorithm significantly improved the installation accuracy of prefabricated components under different installation environments and component types. When installing large prefabricated frame columns, the installation position deviation was no more than ±1.5 mm, and the posture deviation was no more than ±0.2°. When installing small prefabricated window sills, the installation position deviation was no more than ±0.8 mm, and the posture deviation was no more than ±0.1°, improving positioning accuracy and stability.

[0035] In this invention, frequency hopping spread spectrum technology enhances the anti-interference capability of communication by continuously changing the communication frequency. For example, there are many sources of electromagnetic interference at construction sites, such as electromagnetic interference generated by equipment like welding machines and cranes. By adopting frequency hopping spread spectrum technology, the information interaction module can quickly switch between multiple frequency points to transmit data.

[0036] Actual testing showed that, in environments with strong electromagnetic interference, the data transmission error rate of the information interaction module using frequency-hopping spread spectrum technology was significantly reduced. Without this technology, the data transmission error rate was over 5%; with frequency-hopping spread spectrum technology, the data transmission error rate was reduced to below 0.01%, ensuring the reliability of data transmission in complex construction site environments.

[0037] In this invention, during the installation of prefabricated stairs, displacement sensors, angle sensors, and pressure sensors are used in pairs or more, operating simultaneously. If one sensor malfunctions, the others can continue to function normally, ensuring the accuracy of the installation feedback.

[0038] Actual simulation tests showed that even after one displacement sensor was intentionally damaged, the other displacement sensors could still accurately monitor the staircase's displacement information and transmit it to the system integration management platform in a timely manner. Similarly, for the angle and pressure sensors, the other sensors also functioned normally under simulated fault conditions, ensuring the accuracy and reliability of the installation feedback.

[0039] In this invention, after using ultrasonic testing technology to detect internal defects in precast walls, image recognition technology analyzes the obtained ultrasonic images. By extracting and classifying features from different areas in the image, the types of defects inside the wall, such as cracks and voids, are automatically identified and labeled.

[0040] Actual testing and verification have shown that the integration of image recognition technology significantly improves the efficiency and accuracy of quality inspection. When inspecting multi-faceted precast walls, the average inspection time was reduced by 30%, and the defect identification accuracy reached over 98%, thus enhancing both inspection efficiency and accuracy.

[0041] In this invention, the personnel behavior analysis function determines whether personnel are engaging in unauthorized operations by analyzing their movement trajectories and actions. For example, when personnel approach operating hoisting equipment at a construction site, the personnel positioning system monitors their movement trajectory in real time. If the personnel's movement trajectory indicates that they are entering the danger zone of the hoisting equipment, the system will analyze the personnel's actions (such as running quickly, bending over, etc.) to determine whether the personnel are engaging in unauthorized operations.

[0042] Actual monitoring revealed that at a prefabricated housing construction site, the personnel positioning system successfully identified multiple instances of personnel illegally entering dangerous areas and promptly issued alarms to remind them to leave, thus preventing safety accidents and improving the safety of the construction site.

[0043] In this invention, the data mining and machine learning algorithms in the data storage and analysis module can also predict potential problems during the installation of prefabricated components based on historical data and formulate countermeasures in advance. For example, by analyzing the installation history data of multiple prefabricated residential buildings, the algorithm found that certain types of prefabricated components are prone to significant installation deviations during specific seasons (such as the rainy season) or specific construction stages. Based on these predictions, the system will formulate countermeasures in advance, such as increasing moisture-proof measures during the rainy season and strengthening training and guidance for installation personnel during specific construction stages.

[0044] Actual project verification has shown that the use of this predictive function significantly reduces problems during the installation of prefabricated components. In a prefabricated residential project, the use of the predictive function and the development of contingency plans in advance reduced significant installation deviations by 40%, improving installation quality and efficiency.

[0045] Finally, it should be noted that the basic concepts have been described above. Obviously, for those skilled in the art, the detailed disclosure above is merely illustrative and does not constitute a limitation of this specification. Although not explicitly stated herein, those skilled in the art may make various modifications, improvements, and corrections to this specification. Such modifications, improvements, and corrections are suggested in this specification, and therefore remain within the spirit and scope of the exemplary embodiments of this specification. Furthermore, this specification uses specific terms to describe embodiments of this specification. For example, "an embodiment," "one embodiment," and / or "some embodiments" refer to a feature, structure, or characteristic associated with at least one embodiment of this specification. Therefore, it should be emphasized and noted that "an embodiment," "one embodiment," or "an alternative embodiment" mentioned twice or more in different locations in this specification do not necessarily refer to the same embodiment. In addition, certain features, structures, or characteristics in one or more embodiments of this specification can be appropriately combined. Moreover, unless expressly stated in the claims, the order of processing elements and sequences, the use of numbers and letters, or other names described in this specification are not intended to limit the order of the processes and methods of this specification.

[0046] Finally, it should be noted that the above-listed embodiments are merely preferred embodiments of the present invention. Of course, those skilled in the art can make modifications and variations to the present invention. If such modifications and variations fall within the scope of the claims of the present invention and their equivalents, they should be considered as being within the protection scope of the present invention.

Claims

1. A rapid and precise positioning system for prefabricated components in prefabricated housing, characterized in that, include: Precast component transportation module: This module is used to transport precast components from the production site to the construction site. It has an intelligent navigation submodule and a cargo fixing submodule. The intelligent navigation submodule is based on GPS and GIS technology and combines map data from the construction site to plan the optimal transportation route. The cargo fixing submodule uses an adjustable fixing device that is adapted to the shape and size of the precast components to ensure the stability of the precast components during transportation. Positioning reference module: Located at the construction site, it contains multiple high-precision positioning reference points using laser positioning technology or satellite positioning technology, with a positional accuracy down to the millimeter level. The positioning reference points are distributed at key locations on the construction site, forming a three-dimensional spatial positioning network to provide spatial coordinate references for the installation of prefabricated components. The high-precision positioning reference points of the positioning reference module also have an automatic calibration function, periodically comparing data with external high-precision positioning systems to ensure that the positioning accuracy always meets the millimeter-level requirements. Component posture adjustment module: Installed on the precast component hoisting equipment, it includes a horizontal adjustment mechanism, a vertical adjustment mechanism, and an angle adjustment mechanism. The horizontal adjustment mechanism moves the precast component horizontally via hydraulic or electric means to adjust its levelness. The vertical adjustment mechanism uses a jack or screw mechanism to precisely adjust the verticality of the precast component. The angle adjustment mechanism changes the installation angle of the precast component through a rotating device to meet design requirements. The horizontal, vertical, and angle adjustment mechanisms of the component posture adjustment module all have fine-tuning functions with a fine-tuning accuracy of ±0.1 mm to meet high-precision installation requirements. Precision positioning control module: It adopts a closed-loop control system, receives data from the positioning reference module and the component posture adjustment module in real time, and calculates the adjustment amount of the prefabricated component through an algorithm; it sends the adjustment amount to the component posture adjustment module, drives it to make corresponding adjustments, until the prefabricated component reaches the predetermined installation position and posture; The algorithm of the precise positioning control module is a hybrid algorithm based on fuzzy control and neural network control, which can automatically adjust the control parameters according to different installation environments and prefabricated component types to improve positioning accuracy and stability. Information interaction module: It adopts wireless communication technology to realize data transmission and sharing between modules, and has data encryption function to ensure the security and confidentiality of data during transmission; the wireless communication technology of the information interaction module adopts frequency hopping spread spectrum technology to enhance the anti-interference capability of communication and ensure the reliability of data transmission in complex construction site environments; Installation feedback module: The installation status of prefabricated components is monitored in real time through displacement sensors, angle sensors, and pressure sensors, and the monitored data is transmitted to the system integration management platform in real time. The displacement sensors, angle sensors, and pressure sensors of the installation feedback module are all redundantly designed. When one sensor fails, the other sensors can continue to work normally, ensuring the accuracy of installation feedback. Quality inspection module: Employs non-destructive testing technology to detect internal defects in prefabricated components after installation; simultaneously, it performs strength testing on the connection points of prefabricated components to ensure that the connections are firm and reliable. Safety monitoring module: includes hoisting equipment status monitoring sensors, personnel positioning system and safety alarm device; the hoisting equipment status monitoring sensors monitor the operating parameters of the hoisting equipment in real time; the personnel positioning system uses positioning tags worn by personnel to track their location on the construction site in real time; when a safety hazard is detected, the safety alarm device will issue an alarm in a timely manner. Data storage and analysis module: This module uses database technology to store various types of data during the installation process, including positioning data, attitude data, quality inspection data, and safety monitoring data; it also uses data mining and machine learning algorithms to analyze the stored data and identify patterns and problems during the installation process. System integration management platform: It manages and schedules the above modules in a unified manner, enabling rapid installation and precise positioning of prefabricated components for prefabricated housing.

2. The rapid installation and precise positioning system for prefabricated components of prefabricated housing according to claim 1, characterized in that, When planning the optimal transportation route, the intelligent navigation submodule also considers the real-time traffic conditions and obstacle information at the construction site, and dynamically adjusts the transportation route by interacting with the monitoring system at the construction site.

3. The rapid installation and precise positioning system for prefabricated components of prefabricated housing according to claim 1, characterized in that, The non-destructive testing technology of the quality inspection module also incorporates image recognition technology to automatically classify and label detected defects, thereby improving inspection efficiency and accuracy.

4. The rapid installation and precise positioning system for prefabricated components of prefabricated housing according to claim 1, characterized in that, The personnel positioning system of the safety monitoring module also has a personnel behavior analysis function. By analyzing the movement trajectory and actions of personnel, it can determine whether personnel have engaged in any violations and issue an alarm in a timely manner.

5. The rapid installation and precise positioning system for prefabricated components of prefabricated housing according to claim 1, characterized in that, The data mining and machine learning algorithms in the data storage and analysis module can also predict potential problems during the installation of prefabricated components based on historical data and formulate countermeasures in advance.

Citation Information

Patent Citations

  • Prefabricated part hoisting posture control method based on LoRa technology

    CN111847243A

  • Automatic hoisting and positioning method and system for prefabricated building prefabricated parts

    CN117071912A