Construction progress monitoring system for data interaction between unmanned aerial vehicle and BIM

Abstract

The invention provides a construction progress monitoring system for data interaction between an unmanned aerial vehicle and a BIM, and relates to the technical field of construction progress monitoring. The unmanned aerial vehicle data acquisition module adopts a multi-rotor unmanned aerial vehicle and is used for acquiring real-time three-dimensional point cloud data, image data and environmental parameters of a construction site: by constructing a complete construction progress monitoring system, full-process closed-loop management is realized, and the intelligent, real-time and visual level of construction management is improved and the cost is reduced through cooperation of multiple modules; a high-precision positioning system and a plurality of sensors are used for guaranteeing data accuracy; problem response and flight safety are guaranteed by means of mechanisms such as multi-level early warning, multi-aircraft cooperation and autonomous obstacle avoidance, multi-source data are integrated, data credibility and compliance are enhanced by applying a block chain technology, a false alarm rate is reduced by self-adaption of a threshold value, and flight safety is improved. The problems that an original system is difficult in whole-process management, poor in module collaboration, much in manual intervention, inaccurate in data acquisition, imperfect in early warning mechanism and insufficient in multi-machine collaboration capability are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of construction progress monitoring, in particular to a construction progress monitoring system for interaction between a UAV and BIM data. BACKGROUND

[0002] With the continuous development of construction projects, monitoring construction progress is crucial to ensure that the project is completed on time; traditional construction progress monitoring methods usually rely on manual inspection and data recording, which is inefficient and subjective and error-prone; combining UAV aerial photography technology and artificial intelligence algorithms can achieve efficient monitoring and data analysis of the construction site and improve the intelligent level of construction management.

[0003] As for the existing construction progress monitoring system for interaction between a UAV and BIM data, the system cannot achieve full-process closed-loop management from data collection to result display, and the collaboration between modules in the construction management process is poor, resulting in low intelligent, real-time and visual level of construction management, which still requires a lot of manual intervention, increasing the cost of manual intervention and reducing the overall management efficiency; the application of high-precision positioning systems and multiple types of sensors (such as multispectral, laser radar sensors, etc.) is not perfect, which cannot ensure the accurate acquisition of three-dimensional point cloud data, image data and environmental parameters and other types of data, and the existing system's early warning mechanism is not perfect, lacking automatic threshold calculation based on engineering specifications, which cannot achieve multi-level early warning and timely push through multiple ways such as SMS, email, platform, etc., making it difficult to ensure timely response to problems; in the face of large-scale site monitoring, the multi-machine collaborative work capability is insufficient, the monitoring efficiency is low, and it is difficult to adapt to complex construction scenarios. SUMMARY

[0004] The present application relates to a construction progress monitoring system for interaction between a UAV and BIM data, which realizes full-process closed-loop management by constructing a complete construction progress monitoring system, improves the intelligent, real-time and visual level of construction management and reduces the cost of manual intervention through multi-module collaboration; uses high-precision GPS positioning system and multiple sensors to ensure comprehensive and accurate data, optimizes the flight path by combining BIM model with autonomous path planning algorithm, ensures data timeliness through 5G real-time transmission, quantifies the deviation through automatic deviation identification algorithm, and assists decision-making through deviation impact evaluation module, to improve detection efficiency and reduce rework risk and cost; also uses multi-level early warning mechanism to ensure timely response to problems, multi-machine collaboration to improve monitoring efficiency, autonomous obstacle avoidance to ensure flight safety, multi-source data integration to improve data integrity, blockchain technology to ensure data cannot be tampered with to enhance data credibility and compliance, and self-adaptive threshold to dynamically adjust the sensitivity of early warning to adapt to different engineering stage requirements and reduce false positive rate.

[0005] In a first aspect, the present invention provides a construction progress monitoring system for interaction between UAVs and BIM data, specifically including: a UAV data acquisition module, a BIM model processing module, a data fusion module, a progress comparison and analysis module, a progress monitoring and early warning module, and a visual interactive interface;

[0006] The UAV data acquisition module uses a multi-rotor UAV to acquire real-time 3D point cloud data, image data, and environmental parameters of the construction site; the BIM model processing module stores and parses the BIM model data of the construction project; the data fusion module spatially registers and dynamically overlays the real-time data acquired by the UAV with the BIM model; the progress comparison and analysis module generates a construction progress deviation report by comparing the real-time data with the preset progress nodes of the BIM model; the progress monitoring and early warning module monitors and provides early warnings for the project progress; and the visual interactive interface displays the fused 3D model and the visualized results of the progress deviation.

[0007] In at least some embodiments, the progress comparison analysis module includes an automatic deviation identification algorithm that identifies deviations in dimensions such as structural size, location, and materials by comparing the BIM model with actual construction data; and a deviation impact assessment module that predicts potential risks to subsequent construction based on the type and location of the deviation.

[0008] In at least some embodiments, the UAV data acquisition module supports a multi-UAV collaborative operation mode, which improves the monitoring efficiency of large-scale construction sites through distributed task allocation; and an autonomous obstacle avoidance function that dynamically adjusts the flight path based on real-time environmental perception data.

[0009] In at least some embodiments, the BIM model processing module supports: multi-disciplinary collaboration functions, integrating BIM models from structural, mechanical and electrical, and decoration disciplines for comprehensive analysis; and a user access control system, enabling hierarchical access and operation permission control for data by different roles.

[0010] In at least some embodiments, the BIM model processing module includes a BIM model parsing unit for extracting construction drawings, component attributes, and construction stage information; a three-dimensional coordinate mapping unit for aligning the BIM model with the geographic coordinate system of the construction site; and a data interface unit for supporting API integration with mainstream BIM software.

[0011] In at least some embodiments, the data fusion module supports: multi-source data integration, including drone data, IoT sensor data, and manually entered construction logs; and blockchain-based construction data storage to ensure that the data is tamper-proof and traceable.

[0012] In at least some embodiments, the construction progress monitoring system with the interaction of the UAV and the BIM data further comprises a mobile terminal access module, which supports real-time viewing of monitoring data and progress reports through a tablet or a mobile phone terminal; a data storage and traceability module, which records all historical data and operation logs to meet the engineering audit requirements.

[0013] In at least some embodiments, the progress monitoring and early warning module comprises: a construction progress visualization interface, which displays the construction state of each area in a three-dimensional model superimposed color block; a deviation threshold setting unit, which automatically calculates the allowable deviation range of the key path according to the engineering specification; a multi-level early warning mechanism, which pushes early warning information through SMS, email or a construction management platform.

[0014] In at least some embodiments, the progress comparison and analysis module supports machine learning driven prediction function, predicts future construction progress trend based on historical data; adaptive threshold setting, dynamically adjusts the sensitivity of deviation early warning according to the engineering stage.

[0015] In at least some embodiments, the UAV data acquisition module is equipped with a high-precision GPS positioning system; a multi-spectral / laser radar sensor for obtaining high-precision three-dimensional point cloud data; an autonomous path planning algorithm system for automatically generating a UAV flight path according to the structural characteristics of the BIM model; a real-time data transmission unit for real-time data transmission to the cloud server through a 5G network.

[0016] The present application provides a construction progress monitoring system with the interaction of the UAV and the BIM data, which has the following beneficial effects:

[0017] In the present application, a complete construction progress monitoring system is constructed to realize full-process closed-loop management, and multiple modules are cooperated to improve the intelligent, real-time and visual level of construction management and reduce the cost of manual intervention; high-precision GPS positioning system and multiple sensors are used to ensure the accuracy of data, autonomous path planning algorithm is combined with BIM model to optimize the flight path, 5G real-time transmission is used to ensure the timeliness of data, automatic deviation identification algorithm is used to quantify the deviation, deviation influence evaluation module is used to assist decision-making, so as to improve the detection efficiency, reduce the risk and cost of rework; in addition, a multi-level early warning mechanism is used to ensure timely response to problems, multiple machines are cooperated to improve the monitoring efficiency, autonomous obstacle avoidance is used to ensure flight safety, multiple source data integration is used to improve the data integrity, blockchain technology is used to ensure the data cannot be tampered with to enhance the data credibility and compliance, and adaptive threshold is dynamically adjusted to adapt to the requirements of different engineering stages, reduce the false alarm rate.

[0018] In addition, a complete construction progress monitoring system is constructed through the system to realize full-process closed-loop management from data acquisition to result display; through the cooperation of multiple modules, the intelligent, real-time and visual level of construction management is improved, and the cost of manual intervention is reduced;

[0019] In addition, the comprehensiveness and accuracy of the three-dimensional point cloud data, image data and environmental parameters are ensured by the high-precision GPS positioning system and the multi-spectral / laser radar sensor; the flight path is optimized by the autonomous path planning algorithm system combined with the BIM model, the data acquisition efficiency is improved; the data timeliness is ensured by the 5G real-time transmission; the deviation in the dimensions of structure size, position and material is quantified by the automatic deviation identification algorithm, the detection efficiency is improved, and the deviation influence evaluation module assists decision-making through risk prediction, reduces the risk and cost of construction rework;

[0020] In addition, the automatic threshold calculation based on engineering specifications and multi-level warning short message / email / platform push of the multi-level warning mechanism ensure timely response to problems; multi-machine cooperation improves the monitoring efficiency of large-scale sites, adapts to complex construction scenes, and the autonomous obstacle avoidance function dynamically adjusts the path in real time through real-time environmental perception to ensure flight safety; the multi-source data integration of the system improves data integrity, covers the whole life cycle of construction, and the blockchain technology can ensure data tamper-proofing, enhance data credibility and compliance; and the warning sensitivity is dynamically adjusted by the adaptive threshold to adapt to different engineering stage requirements and reduce the false alarm rate. BRIEF DESCRIPTION OF DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings of the embodiments will be briefly introduced below.

[0022] The drawings described in the following description only relate to some embodiments of the present application, but are not a limitation of the present application.

[0023] In the drawings:

[0024] Figure 1 is the overall structure schematic diagram of the construction progress monitoring system of the unmanned aerial vehicle and BIM data interaction of the present application.

[0025] Figure 2 is the structure schematic diagram of the unmanned aerial vehicle data acquisition module of the construction progress monitoring system of the unmanned aerial vehicle and BIM data interaction of the present application.

[0026] Figure 3 is the structure schematic diagram of the BIM model processing module of the construction progress monitoring system of the unmanned aerial vehicle and BIM data interaction of the present application.

[0027] Figure 4 is the structure schematic diagram of the progress comparison and analysis module of the construction progress monitoring system of the unmanned aerial vehicle and BIM data interaction of the present application.

[0028] Figure 5 is the structure schematic diagram of the progress monitoring and warning module of the construction progress monitoring system of the unmanned aerial vehicle and BIM data interaction of the present application.

[0029] Figure 6A method flowchart of a progress comparison and analysis module of a construction progress monitoring system of the unmanned aerial vehicle and BIM data interaction of the present application.

[0030] Figure 7 A method flowchart of a progress comparison and analysis module of a construction progress monitoring system of the unmanned aerial vehicle and BIM data interaction of the present application.

[0031] List of reference signs

[0032] 1, unmanned aerial vehicle data acquisition module; 101, high-precision GPS positioning system; 102, multispectral / laser radar sensor; 103, autonomous path planning algorithm system; 104, real-time data transmission unit; 2, BIM model processing module; 201, BIM model analysis unit; 202, three-dimensional coordinate mapping unit; 203, data interface unit; 3, data fusion module; 4, progress comparison and analysis module; 5, progress monitoring and early warning module; 6, visual interactive interface. DETAILED DESCRIPTION

[0033] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be described clearly and completely below with reference to the drawings of the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the described embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without any creative effort belong to the scope of protection of the present application.

[0034] Please refer to Figures 1 to 7 as shown:

[0035] Embodiment one:

[0036] The present application provides a construction progress monitoring system of unmanned aerial vehicle and BIM data interaction, including unmanned aerial vehicle data acquisition module 1, BIM model processing module 2, data fusion module 3, progress comparison and analysis module 4, progress monitoring and early warning module 5 and visual interactive interface 6.

[0037] The unmanned aerial vehicle data acquisition module 1 adopts a multi-rotor unmanned aerial vehicle, is used for acquiring real-time three-dimensional point cloud data, image data and environmental parameters of a construction site; the BIM model processing module 2 is used for storing and analyzing BIM model data of a construction project; the data fusion module 3 is used for spatial registration and dynamic superposition of real-time data collected by the unmanned aerial vehicle and the BIM model; the progress comparison and analysis module 4 is used for generating a construction progress deviation report by comparing the real-time data with preset progress nodes of the BIM model; the progress monitoring and early warning module 5 is used for monitoring and early warning of the engineering progress; and the visual interactive interface 6 is used for displaying the fused three-dimensional model and progress deviation visual results; the specific role is that the system constructs a complete construction progress monitoring system, realizes full-process closed-loop management from data acquisition to result display; through collaborative work of multiple modules, the intelligentization, real-time and visualization level of construction management are improved, and the cost of manual intervention is reduced.

[0038] The unmanned aerial vehicle data acquisition module 1 is equipped with a high-precision GPS positioning system 101; a multi-spectral / laser radar sensor 102 is used for acquiring high-precision three-dimensional point cloud data; an autonomous path planning algorithm system 103 is used for automatically generating an unmanned aerial vehicle flight path according to the structural characteristics of the BIM model; a real-time data transmission unit 104 is used for real-time data return to a cloud server through a 5G network; the specific role is that the high-precision GPS positioning system 101 and the multi-spectral / laser radar sensor 102 ensure the comprehensiveness and accuracy of the three-dimensional point cloud data, the image data and the environmental parameters; and the autonomous path planning algorithm system 103 is combined with the BIM model to optimize the flight path and improve the data acquisition efficiency; the 5G real-time transmission guarantees the timeliness of the data; the BIM model processing module 2 includes a BIM model analysis unit 201, which is used for extracting construction drawings, component attributes and construction stage information; a three-dimensional coordinate mapping unit 202 is used for aligning the BIM model with the geographic coordinate system of the construction site; and a data interface unit 203 supports API docking with mainstream BIM software.

[0039] In the embodiment of the application, the progress comparison and analysis module 4 includes an automatic deviation identification algorithm, which identifies deviations in dimensions such as structure size, position and material by comparing the BIM model with the actual construction data; a deviation influence evaluation module predicts potential risks on subsequent construction according to the deviation type and position; the specific role is that the automatic deviation identification algorithm can quantify the deviations in dimensions such as structure size, position and material, improving the detection efficiency, and the deviation influence evaluation module reduces the construction rework risk and cost through risk prediction assisted decision-making.

[0040] Among them, the progress monitoring and early warning module 5 includes: a construction progress visualization interface, which displays the construction state of each area by superimposing color blocks on a three-dimensional model; a deviation threshold setting unit that automatically calculates the allowable deviation range of the critical path according to engineering specifications; a multi-level early warning mechanism that pushes early warning information through SMS, email or a construction management platform; the specific role is to ensure timely response to problems through automatic threshold calculation based on engineering specifications and multi-level early warning SMS / email / platform push; the unmanned aerial vehicle data acquisition module 1 supports a multi-machine cooperative operation mode, which improves the monitoring efficiency of large-scale construction sites through distributed task allocation; the self-obstacle avoidance function dynamically adjusts the flight path based on real-time environmental perception data; the specific role is that multi-machine cooperation improves the monitoring efficiency of large-scale sites, adapts to complex construction scenes, and the self-obstacle avoidance function dynamically adjusts the path through real-time environmental perception to ensure flight safety.

[0041] The data fusion module 3 supports: multi-source data integration, including unmanned aerial vehicle data, Internet of Things sensor data and manually entered construction logs; construction data notarization based on blockchain to ensure that data cannot be tampered with and can be traced; the specific role is that the system's multi-source data integration improves data integrity, covering the entire construction life cycle, and the blockchain technology can ensure that data cannot be tampered with, enhancing data credibility and compliance; the progress comparison and analysis module 4 supports machine learning driven prediction function, predicting future construction progress trend based on historical data; adaptive threshold setting, dynamically adjusting the sensitivity of deviation warning according to the engineering stage; the specific role is to dynamically adjust the warning sensitivity through adaptive threshold, adapt to different engineering stage requirements, and reduce false positive rate.

[0042] Embodiment two: based on embodiment one, wherein the construction progress monitoring system with unmanned aerial vehicle and BIM data interaction further includes a mobile access module that supports real-time viewing of monitoring data and progress reports through tablet or mobile phone; a data storage and traceability module that records all historical data and operation logs to meet engineering audit requirements; a BIM model processing module 2 supports: multi-specialty collaboration function, integrates BIM models of structure, mechanical and electrical, decoration and other specialties for comprehensive analysis; a user permission management system that realizes hierarchical access and operation permission control of data by different roles.

[0043] Specific use and role of the embodiment: in the present application, the system constructs a complete construction progress monitoring system, realizes full-process closed-loop management from data acquisition to result display; through multi-module collaborative work, the intelligentization, real-time and visualization level of construction management are improved, and the cost of manual intervention is reduced; the high-precision GPS positioning system 101 and the multi-spectral / laser radar sensor 102 ensure the comprehensiveness and accuracy of three-dimensional point cloud data, image data and environmental parameters; and through the autonomous path planning algorithm system 103 combined with the BIM model to optimize the flight path, the data acquisition efficiency is improved; 5G real-time transmission ensures the timeliness of data; through the automatic deviation identification algorithm, the deviation of structure size, position, material and other dimensions can be quantified, the detection efficiency is improved, and the deviation influence evaluation module assists decision-making through risk prediction, reduces the risk and cost of construction rework; through the multi-level early warning mechanism, the automatic threshold calculation and multi-level early warning SMS / email / platform push based on engineering specifications ensure timely response to problems; multi-machine cooperation improves the monitoring efficiency of large-scale sites, adapts to complex construction scenes, and the autonomous obstacle avoidance function adjusts the path dynamically through real-time environmental perception, ensuring flight safety; the system's multi-source data integration improves data integrity, covering the whole life cycle of construction, and the block chain technology can ensure that the data is not tamperable, and enhance the data credibility and compliance; and through adaptive threshold dynamic adjustment of early warning sensitivity, adapt to different engineering stage requirements, reduce the false alarm rate.

Claims

1. A construction progress monitoring system for interacting drone with BIM data, characterized in that, It comprises a UAV data acquisition module (1), a BIM model processing module (2), a data fusion module (3), a progress comparison and analysis module (4), a progress monitoring and early warning module (5) and a visual interactive interface (6). The UAV data acquisition module (1) is a multi-rotor UAV used to acquire real-time three-dimensional point cloud data, image data and environmental parameters of the construction site; the BIM model processing module (2) is used to store and analyze BIM model data of the construction project; the data fusion module (3) is used to spatially register and dynamically superimpose real-time data collected by the UAV and the BIM model; the progress comparison and analysis module (4) is used to generate a construction progress deviation report by comparing the real-time data with the preset progress nodes of the BIM model; the progress monitoring and early warning module (5) is used to monitor and early warn the project progress; and the visual interactive interface (6) is used to display the fused three-dimensional model and the progress deviation visual results. 2.The construction progress monitoring system of the UAV interacting with the BIM data according to claim 1, wherein: The UAV data acquisition module (1) is equipped with a high-precision GPS positioning system (101), a multi-spectral / laser radar sensor (102) used to acquire high-precision three-dimensional point cloud data, an autonomous path planning algorithm system (103) used to automatically generate a UAV flight path according to the structural features of the BIM model, and a real-time data transmission unit (104) used to transmit data to a cloud server in real time through a 5G network. 3.The construction progress monitoring system of the UAV interacting with the BIM data according to claim 1, wherein: The BIM model processing module (2) comprises a BIM model analysis unit (201) used to extract construction drawings, component attributes and construction stage information, a three-dimensional coordinate mapping unit (202) used to align the BIM model with the geographic coordinate system of the construction site, and a data interface unit (203) supporting API docking with mainstream BIM software.

4. The construction progress monitoring system of claim 1, wherein: The progress comparison and analysis module (4) comprises an automatic deviation identification algorithm used to identify deviations in structural dimensions, positions and materials by comparing the BIM model with actual construction data, and a deviation impact evaluation module used to predict potential risks on subsequent construction according to the deviation type and position. 5.The construction progress monitoring system of the UAV interacting with BIM data according to claim 1, wherein: The progress monitoring and early warning module (5) comprises a construction progress visualization interface used to display the construction state of each area in the form of a three-dimensional model superimposed with color blocks, a deviation threshold setting unit used to automatically calculate the allowable deviation range of the key path according to engineering specifications, and a multi-level early warning mechanism used to push early warning information through SMS, email or a construction management platform. 6.The construction progress monitoring system of the UAV interacting with BIM data according to claim 1, wherein: The UAV data acquisition module (1) supports a multi-machine cooperative operation mode, and improves the monitoring efficiency of large-scale construction sites through distributed task allocation; and has a self-obstacle avoidance function based on real-time environmental perception data to dynamically adjust the flight path. 7.The construction progress monitoring system of the UAV interacting with BIM data according to claim 1, wherein: The UAV and BIM data interaction construction progress monitoring system further comprises a mobile access module supporting real-time viewing of monitoring data and progress reports through a tablet or mobile phone terminal, and a data storage and traceability module recording all historical data and operation logs to meet the engineering audit requirements. 8.The construction progress monitoring system of the UAV interacting with BIM data according to claim 1, wherein: The BIM model processing module (2) supports: multi-specialty collaboration function, integrated BIM model of structure, electromechanical, decoration and other specialties for comprehensive analysis; user permission management system, realizing hierarchical access and operation permission control of data by different roles. 9.The construction progress monitoring system of the UAV interacting with BIM data according to claim 1, wherein: The data fusion module (3) supports: multi-source data integration, including unmanned aerial vehicle data, Internet of Things sensor data and manually entered construction log; construction data notarization based on block chain, ensuring that the data cannot be tampered with and can be traced. 10.The construction progress monitoring system of the UAV interacting with BIM data according to claim 1, wherein: The progress comparison and analysis module (4) supports machine learning driven prediction function, predicts future construction progress trend based on historical data; Adaptive threshold setting, dynamically adjusting the sensitivity of deviation warning according to the engineering stage.

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