Engineering construction intelligent management platform and method based on digital delivery

Abstract

The invention discloses an engineering construction intelligent management platform and method based on digital delivery. The method comprises the following steps: acquiring three-dimensional point cloud data of a building; generating a three-dimensional digital model of the building based on the three-dimensional point cloud data; performing structure health analysis on the building in combination with a building information model (BIM), and detecting potential structure problems; generating a structure safety assessment report based on the structure health analysis result, and judging whether the building has potential safety hazards or not; and if the building has the potential safety hazard, generating structure safety alarm information and prompting related management personnel. According to the invention, data acquisition is carried out through a laser scanner carried by an unmanned aerial vehicle, and the system can automatically calculate the stress change acceleration trend and stress tendency of a building. According to the invention, the efficiency and accuracy of building quality detection are improved, the cost and difficulty of manual inspection are reduced, and effective support is provided for digital and intelligent development of the building industry.

Description

Technical Field

[0001] The present invention relates to the technical fields of data processing and building safety monitoring, and particularly to an intelligent management platform and method for engineering construction based on digital delivery. Background Art

[0002] With the acceleration of the urbanization process, the number and structural complexity of buildings are gradually increasing, and the quality and safety problems of buildings are becoming increasingly prominent. Traditional building safety detection methods, such as manual inspections and manual measurements, have problems such as low inspection efficiency, poor accuracy, and high costs. Especially in the complex structures of buildings, many hidden defects and potential hazards cannot be detected in a timely manner through traditional methods, resulting in the long-term existence of safety hazards and even serious accidents.

[0003] In the prior art, for example, Chinese Invention Patent Publication No. CN118735369B discloses an intelligent management platform and method for engineering construction based on digital delivery. This technical solution collects stress data by evenly arranging a plurality of stress sensors in a building. These sensors are arranged at different parts and different planes of the building to ensure comprehensive and accurate data; by analyzing the changes in stress data over time, the accelerating trend of stress changes is calculated, which helps to judge the stress changes of the building at different time points. Furthermore, based on the accelerating trend and stress data, the tendency of stress is determined to predict the structural safety of the building; based on the stress tendency, the structural safety of the building is detected in real time through an intelligent management platform. If the stress tendency exceeds a preset threshold, the platform will generate an alarm message to indicate that there may be potential structural safety hazards in the building.

[0004] The limitations of the above technical solution are as follows:

[0005] First, strong sensor dependence. This solution completely relies on the data collection of stress sensors, but in the actual engineering environment, the sensors may be affected by factors such as high temperature, humidity, and vibration, resulting in data distortion or sensor failure. This single data source challenges the reliability of the system.

[0006] Second, the data processing model is relatively simple. The current solution mainly relies on two indicators, namely the accelerating trend and stress tendency, for judgment. This linear analysis method may not be able to fully capture the complex non-linear characteristics of building structural safety.

[0007] Third, lack of consideration of environmental factors. The existing solution does not fully consider the influence of external environmental factors such as temperature changes, geological conditions, and surrounding construction on the building structure, which may lead to deviations in the judgment results. Summary of the Invention

[0008] The present invention provides an intelligent management platform and method for engineering construction based on digital delivery, which combines drone technology and laser scanning technology for real-time monitoring, evaluation, and management of building structural safety. The platform uses digital technology to achieve intelligent monitoring and timely warning of building structural health, and accurately detects structural defects and potential safety risks by comprehensively analyzing the three-dimensional data of the building. The purpose of the present invention is to improve the efficiency and accuracy of building quality inspection, while reducing the cost and difficulty of manual inspection, thereby enhancing the safety and management level of engineering construction.

[0009] The intelligent management platform for engineering construction of the present invention includes the following main modules:

[0010] Data acquisition module: Use a drone equipped with a laser scanner to scan the building comprehensively and acquire the three-dimensional point cloud data and appearance images of the building.

[0011] Data processing module: Denoise, process, and convert the format of the acquired point cloud data to generate a three-dimensional model of the building. Combine with Building Information Modeling (BIM) to accurately model the geometric structure of the building.

[0012] Analysis and detection module: Combine the three-dimensional model and BIM data to automatically analyze the structural health status of the building, detect problems such as cracks and deformations, and perform stress analysis and structural inclination analysis.

[0013] Alarm and feedback module: Based on the analysis results, when potential safety hazards are found, automatically generate alarm information and notify relevant management personnel via text messages, emails, etc.

[0014] Visualization display module: Generate a three-dimensional visualization diagram of the building and display the structural health status and problem areas of the building in the platform for management personnel to make decisions and subsequent processing.

[0015] Data acquisition and monitoring process

[0016] Planning and equipment selection:

[0017] According to the scale and complexity of the building, select appropriate drones and laser scanners. The drone should have sufficient flight time and load capacity, be able to stably carry the laser scanner, and ensure comprehensive scanning of the building.

[0018] Plan the flight path to ensure that the drone can cover different perspectives and hard-to-reach areas of the building, such as the roofs and outer walls of high-rise buildings.

[0019] Data acquisition and transmission:

[0020] Start the drone and fly according to the planned path while performing laser scanning. The scanned data is transmitted to the control platform in real time to ensure data integrity and for real-time monitoring.

[0021] Data preprocessing and 3D modeling:

[0022] Denoise the collected point cloud data to eliminate environmental interference and sensor errors, ensuring data accuracy.

[0023] Use point cloud processing software to generate a 3D model of the building and combine the point cloud data with BIM data to construct an accurate building structure model.

[0024] Structural safety analysis and assessment

[0025] Structural analysis:

[0026] Combining the 3D model and BIM data, conduct a structural analysis to calculate the stress conditions and possible stress distributions of the building. By comparing the design data with the actual data, detect whether there are design flaws or construction problems.

[0027] Conduct a detailed analysis of the stress points and key structural parts of the building to determine whether there are problems such as cracks, deformations, and tilts.

[0028] Problem detection:

[0029] Based on the data analysis results, the system can automatically detect cracks, deformations, and potential structural problems on the building surface. For example, by comparing the point cloud data with the 3D model, the location, length, and width of the cracks can be automatically identified, and then the impact of the cracks on the building safety can be analyzed.

[0030] Regarding deformation problems, the system can compare data from different time periods to track the change trend of the building in real time and promptly detect any possible structural imbalance problems.

[0031] Alarm and early warning

[0032] Automatic alarm:

[0033] When detecting safety problems in the building, especially when structural problems such as cracks and deformations exceed the set safety thresholds, the system will automatically generate alarm messages. The alarm messages include the type, location, and severity of the problems.

[0034] The alarm messages are sent to the relevant management personnel through the platform to ensure timely handling and prevent accidents.

[0035] Safety assessment:

[0036] Based on real-time data and historical data, the system evaluates the overall safety of the building. If structural problems affect the overall safety of the building, the platform will generate a detailed risk assessment report for decision-makers to reference.

[0037] Visualization and Reporting

[0038] Three-dimensional Visualization Display:

[0039] The system displays the analysis results in the form of a three-dimensional visualization on the platform. Managers can intuitively view the overall structure of the building and the areas with problems. Users can zoom in or rotate the model to view the specific locations of cracks, deformations, and other problems.

[0040] Detailed Report Generation:

[0041] Based on the analysis results, the system generates a detailed structural health report. The report content includes the health status of the building, existing safety hazards, analysis conclusions, recommended treatment measures, etc.

[0042] Advantages of the Present Invention:

[0043] The combination of drones and laser scanning technology makes the inspection of buildings more comprehensive and efficient, reducing the workload of manual inspections; through high-precision laser scanning and three-dimensional modeling technology, the structural data of buildings can be accurately captured, ensuring the accuracy and reliability of the data; combined with building information modeling (BIM) and data analysis technology, it can automatically identify the safety hazards of buildings and provide real-time warnings to ensure the structural safety of buildings; reduces the need for manual inspections and lowers the detection and maintenance costs.

[0044] The present invention provides an efficient and accurate intelligent management method for engineering construction based on a digital delivery solution that combines drones and laser scanning technology. Through this platform, comprehensive and intelligent safety inspections of buildings can be carried out to ensure the structural safety of buildings during use, providing effective support for the digital and intelligent development of the construction industry. Description of the Drawings

[0045] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only those of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0046] Figure 1 It is a schematic diagram of the overall system architecture of the present invention;

[0047] Figure 2Schematic diagram of the data acquisition workflow of the present invention;

[0048] Figure 3 Schematic diagram of the structure analysis process of the present invention;

[0049] Figure 4 Schematic diagram of the deployment of the monitoring system of the present invention;

[0050] Figure 5 Schematic diagram of the alarm handling process of the present invention;

[0051] Figure 6 Schematic diagram of the data processing workflow of the present invention. Detailed implementation manners

[0052] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. At the same time, it should be noted here that in order to make the embodiments more detailed, the following embodiments are the best and preferred embodiments. For some well-known technologies, those skilled in the art can also adopt other alternative methods for implementation; moreover, the accompanying drawings are only for more specifically describing the embodiments and are not intended to specifically limit the present invention.

[0053] It should be noted that in the specification, references to "one embodiment", "an embodiment", "exemplary embodiments", "some embodiments", etc. indicate that the described embodiments may include specific features, structures, or characteristics, but not necessarily every embodiment includes such specific features, structures, or characteristics. Additionally, when combining embodiments to describe specific features, structures, or characteristics, implementing such features, structures, or characteristics in combination with other embodiments (whether explicitly described or not) should be within the knowledge of those skilled in the relevant art.

[0054] Generally, terms can be understood, at least in part, from their use in context. For example, depending at least in part on the context, the term "one or more" as used herein can be used to describe any feature, structure, or characteristic in a singular sense, or can be used to describe a combination of features, structures, or characteristics in a plural sense. Additionally, the term "based on" can be understood as not necessarily intended to convey a set of exclusive factors, but rather, at least in part depending on the context, can allow for the existence of other factors that may not be explicitly described.

[0055] The present invention proposes an intelligent management platform and method for engineering construction based on digital delivery, aiming to improve the safety of buildings and the efficiency of construction management by combining digital technologies with the actual needs of engineering construction, and solve problems such as low efficiency, resource waste, and incomplete monitoring in traditional management methods. This technical solution is particularly applicable to structural safety monitoring and quality management during the engineering construction process, and can achieve all-round intelligent monitoring and management of buildings.

[0056] 1. Overview of the technical solution

[0057] As Figure 1 shown, the present invention provides a building monitoring method based on the combination of drones and laser scanning. It evaluates the safety of buildings by combining with Building Information Modeling (BIM), and conducts real-time analysis of the structural health of buildings through an intelligent platform, so as to provide safety warnings and management suggestions. This technical solution is realized through the following core modules:

[0058] Data acquisition module: A drone is combined with a laser scanner to collect building surface data through high-precision three-dimensional scanning technology;

[0059] Data processing module: Denoise, correct, and convert the format of the collected point cloud data to generate a three-dimensional digital model of the building;

[0060] Analysis module: Combine BIM and three-dimensional data to conduct building structure analysis, and calculate the stress change trend and structural safety;

[0061] Alarm module: Automatically generate structural safety alarms through a threshold judgment mechanism and notify relevant personnel;

[0062] Visualization module: Generate a three-dimensional visualization model of the building and display the safety status and problem points of each part.

[0063] 2. System architecture and composition

[0064] As Figure 2 shown, the system consists of the following main modules:

[0065] Data acquisition module: Includes a drone and a laser scanner, used to obtain the three-dimensional point cloud data of the building.

[0066] Data processing module: Denoise, correct, and process the collected point cloud data to generate a high-precision three-dimensional building model.

[0067] Analysis module: Combine BIM data to conduct structural analysis of the building and detect potential structural problems (such as cracks, deformations, etc.).

[0068] Alarm module: Automatically generate structural safety alarms according to the analysis results and prompt relevant personnel.

[0069] Visualization module: Generate a three-dimensional visualization diagram of the building and display the structural problems and safety assessment results.

[0070] 3. Implementation process

[0071] 3.1 Project preparation stage

[0072] Goal setting and equipment selection:

[0073] Determine the monitoring target: Select the building that needs to be evaluated for safety, and set the monitoring frequency (such as quarterly, semi-annually, etc.).

[0074] Equipment selection: According to the scale and complexity of the building, select appropriate drones and laser scanners. The drone needs to have sufficient flight capabilities and payload capacity, and the laser scanner should have high-precision data acquisition capabilities to meet the requirements of building structure monitoring.

[0075] Flight path and data acquisition plan:

[0076] Design the flight path: According to the floor plan of the building, design the flight route of the drone to ensure full coverage of the exterior of the building and areas that are difficult to reach (such as rooftops, high-rise buildings, etc.).

[0077] Set flight parameters: Determine parameters such as flight altitude and shooting angle to ensure that the laser scan can effectively capture all parts of the building, including hard-to-reach corners and details.

[0078] Avoid interference factors: Select a suitable weather condition with low wind speed for flight to avoid the impact of bad weather on the equipment.

[0079] 3.2 Data acquisition stage

[0080] As Figure 3 shown, start the drone and laser scan:

[0081] Under the set flight path, start the drone and begin laser scanning to collect the three-dimensional point cloud data of the building. The accuracy of each scanned point should reach the millimeter level to ensure the accuracy of the data.

[0082] Ensure real-time data transmission during flight to avoid data loss due to signal interruption.

[0083] Data synchronization and real-time monitoring:

[0084] The drone and laser scanner collect data synchronously and transmit the data to the control platform for monitoring and inspection in real time. The drone pilot and operator can adjust the flight route at any time to ensure the integrity of data collection.

[0085] 3.3 Data processing and 3D modeling stage

[0086] Data denoising and processing:

[0087] Perform denoising processing on the collected point cloud data to filter out redundant interference data and ensure the accuracy of the data. Apply point cloud processing software (such as Leica Cyclone) to correct the data and ensure the continuity and integrity of the scanned data.

[0088] Convert the processed point cloud data into standard formats such as *.las, *.pts, etc. for further analysis and modeling.

[0089] Three-dimensional building model construction:

[0090] Use building information modeling (BIM) software (such as Autodesk Revit, Navisworks, etc.) to integrate the point cloud data with the BIM model of the building to generate a high-precision three-dimensional digital model of the building.

[0091] Ensure that the accuracy of the three-dimensional model can meet the requirements of subsequent structural analysis and that the model can reflect the actual condition of the building.

[0092] 3.4 Structural analysis and problem detection stage

[0093] As Figure 4 shown, structural safety analysis:

[0094] In the integrated three-dimensional building model, apply structural analysis software (such as ANSYS, STAAD Pro, etc.) to conduct mechanical analysis on the building, calculate parameters such as its bearing capacity, stress distribution, deformation, etc., and detect possible structural problems.

[0095] Calculation of the accelerating trend of stress change

[0096] Assume that the stress values at the x-th and (x + 1)-th moments in the time series are S x and S x+1 , then the accelerating trend of stress change can be expressed as

[0097] ΔS x,x+1 =S x+1 -S x

[0098] The calculation formula for the accelerating trend is:

[0099]

[0100] If A x > 0, it means that the accelerating trend of stress change shows an upward trend, which may indicate that the building is suffering from uneven stress and there is a risk of structural imbalance.

[0101] Calculation of stress tendency

[0102] Set the stress value at the z-th moment as S z , the stress value at the v-th moment as S v , and consider the shortest straight-line distance d z,v (in meters) between the stress sensors, then the stress tendency T zThe calculation formula is as follows:

[0103]

[0104] If the stress tendency T z is greater than the set threshold value, it indicates that there may be a risk of structural inclination or imbalance in the building, and measures need to be taken for further inspection and treatment.

[0105] Calculation of stress position matching

[0106] Under the arrangement of multiple stress sensors, in order to judge the stress position matching between the target sensor and other sensors, the calculation formula is as follows:

[0107]

[0108] The higher the position matching, the closer the positions of the target sensor and other sensors are, and the more representative the detected stress change is, which can effectively reflect the structural change of the building.

[0109] Analyze the stress and deformation trends of the building to judge whether there are potential safety hazards caused by long-term stress, construction defects or external factors.

[0110] Crack and deformation detection:

[0111] Use point cloud data and 3D models to automatically detect whether there are problems such as cracks, depressions, and deformations on the surface of the building. For complex geometric shapes, the system can automatically identify anomalies and mark the problem areas.

[0112] For the identified cracks or deformations, the system calculates parameters such as their length, width, and depth to evaluate the possible impact on the safety of the building.

[0113] 3.5 Alarm and Visualization Display Phase

[0114] As Figure 5 shown, Alarm Generation and Feedback:

[0115] The system automatically generates structural safety alarm information according to the analysis results. If it is found that problems such as the stress, deformation, or cracks of the building exceed the set safety threshold, the system will trigger the alarm mechanism.

[0116] The alarm information can be sent to relevant management personnel in various forms (such as text messages, emails, system push, etc.) to ensure timely handling of problems.

[0117] Visualization Display and Report Generation:

[0118] The system generates a 3D visualization of the building, showing the overall structure and problem areas of the building. By clicking on each part, managers can view detailed structural information and problem descriptions.

[0119] Based on the data analysis results and the visualization, a structural health report is generated, which includes the health status of the building, the problems found, the analysis results, and the recommended repair measures.

[0120] Set the threshold T for determining the structural safety of the building threshold , when the stress tendency T z and the cumulative acceleration trend A cumulative both exceed the set threshold, it is determined that the building has a safety risk.

[0121]

[0122] If the structural safety determination result is Warning, further measures need to be taken to ensure the safety of the building.

[0123] 3.6 Regular update and maintenance phase

[0124] Regular scanning and monitoring:

[0125] As Figure 6 shown, according to the service life and maintenance requirements of the building, the system can be set to regularly scan the building and conduct health monitoring. After each scan, the system will automatically update the 3D model of the building and compare it with historical data to analyze the structural change trend.

[0126] Historical data management and comparison:

[0127] All the collected data and analysis results will be stored in the cloud platform to form a historical data archive of the building. Each new scan data will be compared with the historical data to evaluate whether the building has new structural problems or deformation trends.

[0128] This invention covers any substitutions, modifications, equivalent methods, and solutions made within the spirit and scope of this invention. For the public to have a thorough understanding of this invention, specific details are described in detail in the following preferred embodiments of this invention, and those skilled in the art can fully understand this invention without these detailed descriptions. Additionally, to avoid unnecessary confusion to the essence of this invention, well-known methods, processes, procedures, components, and circuits are not described in detail.

[0129] The above are only the preferred embodiments of this invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of this invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of this invention.

Claims

1. A smart management method for engineering construction based on digital delivery, comprising the following steps: Obtain the three-dimensional point cloud data of the building; Generate a three-dimensional digital model of the building based on the three-dimensional point cloud data; Conduct a structural health analysis of the building in combination with the Building Information Model (BIM) to detect potential structural problems; Generate a structural safety assessment report based on the results of the structural health analysis and determine whether there are safety hazards in the building; If there are safety hazards in the building, generate a structural safety warning message and prompt relevant management personnel.

2. The intelligent management method for engineering construction based on digital delivery according to claim 1, characterized in that, The step of obtaining the three-dimensional point cloud data of the building includes: Use a drone equipped with a laser scanner to perform laser scanning of the building; Transmit the point cloud data obtained from the laser scanning to a data processing system for data preprocessing.

3. The intelligent management method for engineering construction based on digital delivery according to claim 1, wherein The structural health analysis step includes: Calculate the acceleration trend of the stress change of the building. If the acceleration trend is greater than a preset threshold, it is considered that the building may have structural imbalance; Judge whether there are problems of structural inclination or uneven stress in the building based on stress tendency.

4. The intelligent management method for engineering construction based on digital delivery according to claim 3, characterized in that, The calculation formula for the acceleration trend of the stress change is: Where: ΔS x,x+1 represents the stress difference between the x-th moment and the (x + 1)-th moment in the time series; Δt represents the time interval; A x represents the acceleration trend at the x-th moment in the time series.

5. An intelligent management platform for engineering construction based on digital delivery, characterized in that, The steps for the platform to implement the smart management method for engineering construction based on digital delivery as described in any one of claims 1-4 include: A data acquisition module for obtaining the three-dimensional point cloud data of the building; A data processing module for preprocessing, correcting, and format-converting the three-dimensional point cloud data to generate a three-dimensional digital model; A structural health analysis module for conducting a structural health analysis of the building in combination with the Building Information Model (BIM) and detecting potential structural problems; A report generation module for generating a structural safety assessment report of the building and determining whether there are safety hazards in the building; An alarm module for generating a structural safety warning message according to the evaluation result and prompting relevant management personnel; Set the threshold value T for judging the structural safety of the building threshold , when the stress tendency T z and the cumulative acceleration trend A cumulative exceed the set threshold value at the same time, it is determined that there is a safety risk in the building. If the structural safety determination result is Warning, further measures need to be taken to ensure the safety of the building.

6. The intelligent management platform for engineering construction based on digital delivery according to claim 5, characterized in that, The data acquisition module includes a drone equipped with a laser scanner for performing laser scanning on the building and obtaining three-dimensional point cloud data.

7. The intelligent management platform for engineering construction based on digital delivery according to claim 5, wherein The data processing module includes functions of denoising, correcting, and format conversion for processing three-dimensional point cloud data and generating a high-precision three-dimensional digital model.

8. The intelligent management platform for engineering construction based on digital delivery according to claim 5, wherein The structural health analysis module includes: A stress analysis function for calculating the stress change of the building; A deformation analysis function for evaluating the structural deformation of the building.

9. The intelligent management platform for engineering construction based on digital delivery according to claim 5, wherein The alarm module includes functions of generating and transmitting alarm messages for transmitting safety alarm messages to relevant personnel by any one or more of email, text message, graphical interface prompt, or voice alarm.

10. The intelligent management platform for engineering construction based on digital delivery according to claim 5, characterized in that, The platform further includes a historical data management module for storing and managing historical scan data and conducting comparative analysis of data at different time points.

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