Building main body crack monitoring and repairing method

Abstract

The invention discloses a building main body crack monitoring and repairing method, and the method comprises the following steps: S1, obtaining a building information model, S2, obtaining the crack information of a building, S3, obtaining the depth data of a crack, and S4, integrating the crack data. The method comprises the following steps: S1, carrying out quantitative evaluation on the severity of a crack and the influence on a building structure, S6, formulating a plurality of crack repair schemes according to an evaluation result, S7, simulating and predicting the crack repair schemes, S8, carrying out a small-scale field test in a key area, and S9, carrying out real-time monitoring on the repair effect of the crack. And a repair scheme is adjusted in time according to a monitoring result, the repair quality is ensured, and informatization and intelligent management of building main body crack monitoring and repair is realized by using a building information model, an unmanned aerial vehicle, a data processing system and a deep learning algorithm technology.

Description

Technical Field

[0001] This invention relates to the field of building crack monitoring and repair technology, specifically to a method for monitoring and repairing cracks in the main structure of a building. Background Technology

[0002] Cases of surface cracks affecting project quality and even causing building collapse are common. Crack characteristics reflect the current working and structural state of a building. When crack characteristic parameters exceed the safety threshold, they will not only affect the aesthetics and durability of the building facilities, but may even endanger the safety of people and property. Therefore, correctly evaluating surface cracks of buildings and predicting their development is of great practical significance for the assessment, identification, and maintenance of the overall building structure, as well as for the safety management of buildings under construction and in use.

[0003] However, most existing methods for monitoring building cracks measure crack width using rulers and crack width comparison cards. While this method is simple, it requires a significant investment of manpower and time, has low measurement accuracy, is slow, labor-intensive, and prone to human error. Furthermore, the development of a building crack repair plan requires comprehensive consideration of factors such as crack type, width, depth, and building structure, but currently lacks comprehensive data support and simulation capabilities, making it difficult to develop the optimal repair plan. Summary of the Invention

[0004] In order to overcome the shortcomings of existing technical solutions, the present invention provides a method for monitoring and repairing cracks in the main structure of buildings, which can effectively solve the technical problems raised in the background art.

[0005] The technical solution adopted by this invention to solve its technical problem is: a method for monitoring cracks in the main structure of a building, comprising the following steps:

[0006] Step S1: Obtain the building information model of the building that meets the requirements for crack monitoring. The building information model includes the complete structural layout, accurate geometric dimensions and detailed material property information of the building.

[0007] Step S2: Obtain information on cracks in the building, and use a drone equipped with a high-resolution camera to inspect the building structure, capturing and recording the crack situation.

[0008] Step S3: Obtain crack depth data and use a drone equipped with a crack depth measuring instrument and data acquisition sensor to measure settlement cracks, deformation cracks and structural cracks in the building.

[0009] Step S4, crack data integration.

[0010] Preferably, the step of obtaining the building information model includes:

[0011] Step S1.1: Collect design documents and construction drawings containing information on the building's structural layout, geometric dimensions, and material properties;

[0012] Step S1.2: Conduct an on-site survey of the building, obtain the actual geometric dimensions and spatial location information of the building through technologies such as laser scanning and photogrammetry, and sample and analyze the material properties of the building to obtain detailed material information;

[0013] Step S1.3: Select BIM software, such as Autodesk Revit or Bentley MicroStation, and create a 3D model of the building based on the collected design documents and construction drawings. Integrate the data obtained from the site survey and measurement, material property information, etc. into the BIM model, and verify and check it.

[0014] Preferably, the step of obtaining building crack information includes:

[0015] Step S2.1: Use building information modeling to understand the structural characteristics, key parts and potential crack-prone areas of the building. Based on the analysis results, set the flight route in the UAV control system to ensure that the UAV can comprehensively and efficiently cover all areas that need to be inspected.

[0016] Step S2.2: Set the inspection period in the UAV control system. Every set period, the UAV, equipped with a high-resolution camera, will conduct inspections along the set flight route. The high-resolution camera will take pictures of the building from all directions and multiple angles, and pay special attention to the key parts and crack-prone areas marked in the building information model.

[0017] Step S2.3: The drone transmits the captured images back to the image processing system, which denoises and enhances the contrast of the images to improve the accuracy of subsequent analysis.

[0018] In step S2.4, the image processing system uses a deep learning algorithm to identify the crack type in the preprocessed image and marks the location, shape, length, and width of settlement cracks, deformation cracks, and structural cracks in the building information model.

[0019] Preferably, the step of obtaining the depth of building cracks includes:

[0020] Step S3.1: Plan the flight path of the UAV based on the locations of settlement cracks, deformation cracks, and structural cracks marked in the building information model;

[0021] Step S3.2: The UAV flies along the planned route. When the UAV reaches the location of the settlement crack, deformation crack, or structural crack, the UAV is controlled to hover and the crack depth measuring instrument is activated to measure the crack depth. The data acquisition sensor records the crack depth data in real time.

[0022] Preferably, the crack data integration step includes:

[0023] Step S4.1: Import the location, shape, length, width information and crack depth measurement data of settlement cracks, deformation cracks and structural cracks into the data processing system for crack data integration;

[0024] Step S4.2: Import the integrated crack data into the building information model, and display the crack data in an intuitive three-dimensional form based on the three-dimensional visualization function of the building information model.

[0025] The method for repairing cracks in the main structure of a building includes the following steps:

[0026] Step S5: By combining the structural layout and material property information in the building information model with the data parameters of the cracks, the severity of the cracks and their impact on the building structure are quantitatively assessed to determine whether the cracks require emergency treatment.

[0027] Step S6: Based on the assessment results, develop multiple crack repair plans, including the selection of repair materials, the determination of repair methods, and the time schedule for repair work.

[0028] Preferably, the method further includes step S7, which uses the simulation and modeling functions of building information modeling to simulate and predict crack repair schemes, and evaluate the impact of different crack repair schemes on the overall structure and performance of the building.

[0029] Preferably, the method further includes step S8, which involves conducting small-scale field tests in key areas to verify the actual effectiveness of the repair solution and to adjust the repair solution in a timely manner.

[0030] Preferably, the method further includes step S9, where a crack width measuring instrument and a crack depth measuring instrument are installed in the repair area. The crack width measuring instrument transmits the crack width data measured in real time or at regular intervals to the data processing system, and the crack depth measuring instrument transmits the measured crack depth data to the data processing system. The data processing system integrates the crack width data and crack depth data, imports the integrated crack data into the building information model, and displays the crack data in an intuitive three-dimensional form based on the three-dimensional visualization function of the building information model. This allows for real-time monitoring of the crack repair effect and timely adjustment of the repair plan based on the monitoring results, ensuring the repair quality.

[0031] Compared with the prior art, the beneficial effects of the present invention are:

[0032] By utilizing Building Information Modeling (BIM) technology, the complete structural layout, precise geometric dimensions, and detailed material properties of a building are integrated, providing a comprehensive and accurate data foundation for crack monitoring and repair. Furthermore, the introduction of drones equipped with high-resolution cameras and crack depth measuring instruments enables efficient and comprehensive inspection and precise measurement of building cracks, improving the efficiency and accuracy of crack monitoring. Deep learning algorithms are used in the image processing system to identify crack types, enhancing the automation and accuracy of crack identification. Data on crack location, shape, length, width, and depth are integrated into the BIM model and visually displayed using its 3D visualization capabilities, facilitating understanding and analysis of crack conditions by staff. In addition, the simulation and modeling functions of the BIM model are used to simulate and predict crack repair schemes, assessing the impact of different schemes on the overall structure and performance of the building, providing a basis for developing the optimal repair plan. Finally, crack width and depth measuring instruments are installed in the repair area to monitor the repair effect in real time, and the repair plan is adjusted promptly based on the monitoring results to ensure repair quality. By utilizing BIM, drones, data processing systems, and deep learning algorithms, the information-based and intelligent management of building crack monitoring and repair is achieved. Attached Figure Description

[0033] Figure 1 This is a flowchart of the method for monitoring and repairing cracks in the main structure of a building according to the present invention. Detailed Implementation

[0034] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0035] like Figure 1 As shown, the present invention provides a method for monitoring cracks in the main structure of a building, comprising the following steps:

[0036] Step S1: Obtain the building information model (BIM) of the building that meets the crack monitoring requirements. The BIM includes the building's complete structural layout, precise geometric dimensions, and detailed material property information. The steps for obtaining the BIM include:

[0037] Step S1.1: Collect design documents and construction drawings containing information on the building's structural layout, geometric dimensions, and material properties;

[0038] Step S1.2: Conduct an on-site survey of the building, obtain the actual geometric dimensions and spatial location information of the building through technologies such as laser scanning and photogrammetry, and sample and analyze the material properties of the building to obtain detailed material information;

[0039] Step S1.3: Select BIM software, such as Autodesk Revit or Bentley MicroStation, and create a 3D model of the building based on the collected design documents and construction drawings. Integrate the data obtained from the site survey and measurement, material property information, etc. into the BIM model, and verify and check it.

[0040] Step S2: Obtain building crack information. Use a drone equipped with a high-resolution camera to inspect the building structure, capturing and recording crack conditions. The steps for obtaining building crack information include:

[0041] Step S2.1: Use building information modeling to understand the structural characteristics, key parts and potential crack-prone areas of the building. Based on the analysis results, set the flight route in the UAV control system to ensure that the UAV can comprehensively and efficiently cover all areas that need to be inspected.

[0042] Step S2.2: Set the inspection period in the UAV control system. Every set period, the UAV, equipped with a high-resolution camera, will conduct inspections along the set flight route. The high-resolution camera will take pictures of the building from all directions and multiple angles, and pay special attention to the key parts and crack-prone areas marked in the building information model.

[0043] Step S2.3: The drone transmits the captured images back to the image processing system, which denoises and enhances the contrast of the images to improve the accuracy of subsequent analysis.

[0044] Step S2.4: The image processing system uses a deep learning algorithm to identify the crack type in the preprocessed image and marks the location, shape, length and width of settlement cracks, deformation cracks and structural cracks in the building information model.

[0045] Step S3: Obtain crack depth data. Using a drone equipped with a crack depth measuring instrument and data acquisition sensors, measure settlement cracks, deformation cracks, and structural cracks in the building. The step of obtaining the crack depth in the building includes:

[0046] Step S3.1: Plan the flight path of the UAV based on the locations of settlement cracks, deformation cracks, and structural cracks marked in the building information model;

[0047] Step S3.2: The UAV flies along the planned route. When the UAV reaches the location of the settlement crack, deformation crack, or structural crack, the UAV is controlled to hover and the crack depth measuring instrument is activated to measure the crack depth. The data acquisition sensor records the crack depth data in real time.

[0048] Step S4, crack data integration, the crack data integration steps include:

[0049] Step S4.1: Import the location, shape, length, width information and crack depth measurement data of settlement cracks, deformation cracks and structural cracks into the data processing system for crack data integration;

[0050] Step S4.2: Import the integrated crack data into the building information model, and display the crack data in an intuitive three-dimensional form based on the three-dimensional visualization function of the building information model.

[0051] The method for repairing cracks in the main structure of a building includes the following steps:

[0052] Step S5: By combining the structural layout and material property information in the building information model with the data parameters of the cracks, the severity of the cracks and their impact on the building structure are quantitatively assessed to determine whether the cracks require emergency treatment.

[0053] Step S6: Based on the assessment results, develop multiple crack repair plans, including the selection of repair materials, the determination of repair methods, and the time schedule for repair work.

[0054] Step S7: Using the simulation and modeling functions of Building Information Modeling (BIM), simulate and predict crack repair schemes, and evaluate the impact of different crack repair schemes on the overall structure and performance of the building.

[0055] Step S8: Conduct small-scale field tests in key areas to verify the actual effectiveness of the repair plan and adjust the repair plan in a timely manner.

[0056] Step S9: Install a crack width gauge and a crack depth gauge in the repair area. The crack width gauge transmits the crack width data measured in real time or at regular intervals to the data processing system. The crack depth gauge transmits the measured crack depth data to the data processing system. The data processing system integrates the crack width and crack depth data, imports the integrated crack data into the Building Information Model (BIM), and displays the crack data in an intuitive 3D format based on the BIM's 3D visualization function. This allows for real-time monitoring of the crack repair effect and timely adjustment of the repair plan based on the monitoring results, ensuring repair quality.

[0057] Compared to traditional technologies, this approach utilizes Building Information Modeling (BIM) technology, integrating the building's complete structural layout, precise geometric dimensions, and detailed material properties. This provides a comprehensive and accurate data foundation for crack monitoring and repair. Furthermore, the introduction of drones equipped with high-resolution cameras and crack depth measuring instruments enables efficient and comprehensive inspection and precise measurement of building cracks, improving the efficiency and accuracy of crack monitoring. Deep learning algorithms are used in the image processing system to identify crack types, enhancing the automation and accuracy of crack identification. Data on crack location, shape, length, width, and depth are integrated into the BIM model and visually displayed using its 3D visualization capabilities, facilitating understanding and analysis of crack conditions. Additionally, the simulation and modeling functions of the BIM model are used to simulate and predict crack repair schemes, assessing the impact of different schemes on the overall structure and performance of the building, providing a basis for developing the optimal repair plan. Finally, crack width and depth measuring instruments are installed in the repair area to monitor the repair effect in real time, allowing for timely adjustments to the repair plan based on the monitoring results, ensuring repair quality. By utilizing BIM, drones, data processing systems, and deep learning algorithms, this approach achieves information-based and intelligent management of building crack monitoring and repair.

[0058] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A method for monitoring cracks in the main structure of a building, characterized in that, Includes the following steps: Step S1: Obtain the building information model of the building that meets the requirements for crack monitoring. The building information model includes the complete structural layout, accurate geometric dimensions and detailed material property information of the building. Step S2: Obtain information on cracks in the building, and use a drone equipped with a high-resolution camera to inspect the building structure, capturing and recording the crack situation. Step S3: Obtain crack depth data and use a drone equipped with a crack depth measuring instrument and data acquisition sensor to measure settlement cracks, deformation cracks and structural cracks in the building. Step S4, crack data integration.

2. The method for monitoring cracks in the main structure of a building according to claim 1, characterized in that, The steps for obtaining the building information model include: Step S1.1: Collect design documents and construction drawings containing information on the building's structural layout, geometric dimensions, and material properties; Step S1.2: Conduct an on-site survey of the building, obtain the actual geometric dimensions and spatial location information of the building through technologies such as laser scanning and photogrammetry, and sample and analyze the material properties of the building to obtain detailed material information; Step S1.3: Select BIM software, such as Autodesk Revit or Bentley MicroStation, and create a 3D model of the building based on the collected design documents and construction drawings. Integrate the data obtained from the site survey and measurement, material property information, etc. into the BIM model, and verify and check it.

3. The method for monitoring cracks in the main structure of a building according to claim 1, characterized in that, The steps for obtaining building crack information include: Step S2.1: Use building information modeling to understand the structural characteristics, key parts and potential crack-prone areas of the building. Based on the analysis results, set the flight route in the UAV control system to ensure that the UAV can comprehensively and efficiently cover all areas that need to be inspected. Step S2.2: Set the inspection period in the UAV control system. Every set period, the UAV, equipped with a high-resolution camera, will conduct inspections along the set flight route. The high-resolution camera will take pictures of the building from all directions and multiple angles, and pay special attention to the key parts and crack-prone areas marked in the building information model. Step S2.3: The drone transmits the captured images back to the image processing system, which denoises and enhances the contrast of the images to improve the accuracy of subsequent analysis. In step S2.4, the image processing system uses a deep learning algorithm to identify the crack type in the preprocessed image and marks the location, shape, length, and width of settlement cracks, deformation cracks, and structural cracks in the building information model.

4. The method for monitoring cracks in the main structure of a building according to claim 1, characterized in that, The steps for obtaining the depth of building cracks include: Step S3.1: Plan the flight path of the UAV based on the locations of settlement cracks, deformation cracks, and structural cracks marked in the building information model; Step S3.2: The UAV flies along the planned route. When the UAV reaches the location of the settlement crack, deformation crack, or structural crack, the UAV is controlled to hover and the crack depth measuring instrument is activated to measure the crack depth. The data acquisition sensor records the crack depth data in real time.

5. The method for monitoring cracks in the main structure of a building according to claim 1, characterized in that, The steps for integrating the crack data include: Step S4.1: Import the location, shape, length, width information and crack depth measurement data of settlement cracks, deformation cracks and structural cracks into the data processing system for crack data integration; Step S4.2: Import the integrated crack data into the building information model, and display the crack data in an intuitive three-dimensional form based on the three-dimensional visualization function of the building information model.

6. A method for repairing cracks in the main structure of a building, characterized in that, Includes the following steps: Step S5: By combining the structural layout and material property information in the building information model with the data parameters of the cracks, the severity of the cracks and their impact on the building structure are quantitatively assessed to determine whether the cracks require emergency treatment. Step S6: Based on the assessment results, develop multiple crack repair plans, including the selection of repair materials, the determination of repair methods, and the time schedule for repair work.

7. The method for repairing cracks in the main structure of a building according to claim 6, characterized in that, It also includes step S7, which uses the simulation and modeling functions of building information modeling to simulate and predict crack repair schemes, and evaluate the impact of different crack repair schemes on the overall structure and performance of the building.

8. The method for repairing cracks in the main structure of a building according to claim 6, characterized in that, It also includes step S8, which involves conducting small-scale field tests in key areas to verify the actual effectiveness of the repair plan and to adjust the repair plan in a timely manner.

9. The method for repairing cracks in the main structure of a building according to claim 6, characterized in that, The process also includes step S9, where a crack width gauge and a crack depth gauge are installed in the repair area. The crack width gauge transmits the crack width data measured in real time or at regular intervals to the data processing system, and the crack depth gauge transmits the measured crack depth data to the data processing system. The data processing system integrates the crack width and crack depth data, imports the integrated crack data into the building information model, and displays the crack data in an intuitive three-dimensional form based on the three-dimensional visualization function of the building information model. This allows for real-time monitoring of the crack repair effect and timely adjustment of the repair plan based on the monitoring results, ensuring the quality of the repair.

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