Construction area surveying and calculating method and system

Abstract

This application discloses a method and system for surveying and calculating construction areas, relating to the field of building construction technology. It includes acquiring image data of each sub-region of each wall surface using an image acquisition device, thereby confirming the image data corresponding to each sub-region of each wall surface. If the image data corresponding to a wall sub-region is inconsistent with the standard image data corresponding to that wall sub-region, the wall sub-region is set as a marked sub-region, and the marked sub-region information data corresponding to each marked wall surface is confirmed. Based on the marked sub-region information data corresponding to each marked wall surface, the local stress data corresponding to each marked sub-region of each marked wall surface is calculated, and the abnormal sub-region information data corresponding to each marked wall surface is confirmed. Based on the abnormal sub-region information data corresponding to each marked wall surface, the crack direction information data corresponding to each marked wall surface is predicted, and then repairs are carried out based on the crack direction information data corresponding to each marked wall surface. This application has the effect of improving the accuracy of surveying and calculating results.

Description

Technical Field

[0001] This application relates to the field of building construction technology, and in particular to a method and system for surveying and calculating construction areas. Background Technology

[0002] In the field of building construction, accurate surveying and measurement of the construction area is crucial, as it directly relates to the structural safety of the building, cost control, and construction schedule management. Furthermore, with the continuous development of urban construction, the cleaning and repair of some old walls has become an important part of urban renovation, especially the inspection and maintenance of walls within the construction area, which can extend the service life of the walls and enhance the overall image of the city.

[0003] In related technologies, the methods for surveying and calculating the walls in the construction area mostly rely on subjective human judgment, which is not only inefficient but also easily affected by subjective factors, leading to inaccurate survey and calculation results and making it impossible to carry out reasonable repairs. There are areas for improvement. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this application provides a method and system for surveying and calculating construction areas.

[0005] Firstly, this application provides a method for surveying and calculating construction areas, which includes the following steps:

[0006] Area division: Count the number of walls to be surveyed within the construction area, and divide each wall into sub-areas using a planar grid method;

[0007] Basic parameter detection of the wall surface: The basic parameter data of each sub-area of ​​each wall surface in the construction area are detected. The basic parameter data of each sub-area of ​​each wall surface includes the sub-area length data, sub-area width data and sub-area thickness data.

[0008] Wall image acquisition and processing: Image data of each sub-region of each wall is acquired by an image acquisition device, and the acquired image data of each sub-region of each wall is subjected to noise reduction and filtering. Then, the image data corresponding to each sub-region of each wall after noise reduction and filtering is confirmed. Then, the image data corresponding to each sub-region of each wall is matched and filtered with the standard image data corresponding to each sub-region of each wall. If the image data corresponding to a wall sub-region is inconsistent with the standard image data corresponding to that wall sub-region, the wall sub-region is set as a marked sub-region, and the wall corresponding to the marked sub-region is marked as a marked wall. Then, the marked sub-region information data corresponding to each marked wall is confirmed.

[0009] Wall damage analysis and treatment: Based on the information data of the marked sub-regions corresponding to each marked wall, the local stress data corresponding to each marked sub-region of each marked wall is calculated. Based on the local stress data corresponding to each marked sub-region of each marked wall, the information data of the abnormal sub-regions corresponding to each marked wall is confirmed. Then, based on the information data of the abnormal sub-regions corresponding to each marked wall, the information data of the crack direction corresponding to each marked wall is predicted. Finally, repairs are carried out based on the information data of the crack direction corresponding to each marked wall.

[0010] Preferably, the marker sub-region information data includes marker sub-region radius data, region spacing data, and marker sub-region area data;

[0011] The abnormal sub-region information data includes the abnormal sub-region type, the number of abnormal sub-regions, the location of the abnormal sub-regions, and the area and depth data corresponding to the abnormal sub-regions; the abnormal sub-region type includes depression type and crack type.

[0012] Preferably, the step of calculating the local stress data corresponding to each marker sub-region of each marker wall based on the marker sub-region information data of each marker wall specifically includes:

[0013] Obtain the external force data Pi-wl acting on each marked wall surface, where i represents the number corresponding to each marked wall surface, i = 1, 2, 3, ..., j, and Pi-wl represents the external force data corresponding to the i-th marked wall surface. Then, calculate using the formula... The local stress data αin corresponding to each marked sub-region on each marked wall surface were obtained;

[0014] Where n represents the number corresponding to each marked sub-region, n = 1, 2, 3, ..., m, αin represents the local stress data corresponding to the nth marked sub-region of the i-th marked wall, ain represents the radius data corresponding to the nth marked sub-region of the i-th marked wall, din-max and din-min represent the maximum and minimum distance data between the nth marked sub-region of the i-th marked wall and the edge of the marked wall, respectively, Sin represents the area data corresponding to the nth marked sub-region of the i-th marked wall, and βin is the positional influence correction coefficient corresponding to the nth marked sub-region of the i-th marked wall.

[0015] Preferably, the step of confirming the abnormal sub-region information data corresponding to each marked wall surface based on the local stress data corresponding to each marked sub-region of each marked wall surface specifically includes:

[0016] The local stress data corresponding to each marked sub-region of each marked wall surface is compared with the standard stress data. If the local stress data corresponding to a marked sub-region of a marked wall surface is lower than the standard stress data, the marked sub-region corresponding to the marked wall surface is set as an abnormal sub-region, thereby confirming the abnormal sub-region information data.

[0017] Preferably, based on the abnormal sub-region information data corresponding to each marked wall surface, the crack direction information data corresponding to each marked wall surface is predicted, and then repairs are carried out based on the crack direction information data corresponding to each marked wall surface, specifically including:

[0018] Obtain the number of abnormal sub-regions of the concave type in each marked wall surface and the location of each abnormal sub-region. If the number of abnormal sub-regions is lower than a preset threshold and the location of each abnormal sub-region is randomly distributed, then only the marked wall surface needs to be repaired.

[0019] If the number of abnormal sub-regions is lower than a preset threshold and the positions corresponding to each abnormal sub-region are linearly arranged, then the crack direction information data is confirmed based on the linear arrangement, and the marked wall surface is reinforced based on the crack direction information data.

[0020] Preferably, the step of predicting the crack direction information corresponding to each marked wall surface based on the abnormal sub-region information data corresponding to each marked wall surface, and then performing repairs based on the crack direction information data corresponding to each marked wall surface, specifically further includes:

[0021] The location of the abnormal sub-regions of the crack type in each marked wall surface and the corresponding depth of each abnormal sub-region are obtained. Based on the location of each abnormal sub-region, it is confirmed whether there are cracks in the same direction. If there are, the maximum depth of the cracks in the same direction is further confirmed. The maximum depth of the cracks in the same direction is compared with the wall thickness of the corresponding sub-region to confirm the thickness anomaly coefficient. The thickness anomaly coefficient is compared with a preset thickness anomaly threshold. If the thickness anomaly coefficient exceeds the preset thickness anomaly threshold, the marked wall surface is determined to be a dangerous wall surface and is processed according to a preset processing method.

[0022] Preferred options also include:

[0023] If the cracks in the same direction or the crack direction information divide the marked wall surface longitudinally or laterally, and the exact dividing line runs through both ends of the marked wall surface, then the marked wall surface is determined to be a dangerous wall surface and is treated according to a preset treatment method.

[0024] Secondly, this application provides a construction area survey and calculation system, comprising:

[0025] The area division module is used to count the number of walls to be surveyed within the construction area and divide each wall into sub-areas using a planar grid method.

[0026] Wall surface basic parameter detection module: used to detect the basic parameter data of each sub-region of each wall surface within the construction area. The basic parameter data corresponding to each sub-region of each wall surface includes sub-region length data, sub-region width data, and sub-region thickness data.

[0027] Wall image acquisition and processing module: This module is used to acquire image data of each sub-region of each wall using an image acquisition device, and to perform noise reduction and filtering on the acquired image data of each sub-region of each wall. It then confirms the image data corresponding to each sub-region of each wall after noise reduction and filtering, and matches and filters the image data corresponding to each sub-region of each wall with the standard image data corresponding to each sub-region of each wall. If the image data corresponding to a wall sub-region is inconsistent with the standard image data corresponding to that wall sub-region, the wall sub-region is set as a marked sub-region, and the wall corresponding to the marked sub-region is marked as a marked wall. This confirms the marked sub-region information data corresponding to each marked wall.

[0028] The wall damage analysis and processing module is used to calculate the local stress data corresponding to each marked sub-region of each marked wall based on the information data of the marked sub-regions of each marked wall, to confirm the abnormal sub-region information data corresponding to each marked wall based on the local stress data of each marked sub-region of each marked wall, and then to predict the crack direction information data corresponding to each marked wall based on the abnormal sub-region information data corresponding to each marked wall, and then to carry out repairs based on the crack direction information data corresponding to each marked wall.

[0029] Thirdly, this application provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform any of the above-described methods for surveying and calculating construction areas.

[0030] In summary, this application includes at least one of the following beneficial technical effects:

[0031] 1. This application provides a method for surveying and calculating a construction area. By collecting image data of each sub-region of each wall surface within the construction area, and matching and filtering the image data corresponding to each sub-region of each wall surface with the standard image data corresponding to each sub-region of each wall surface, the method identifies the information data of the marked sub-regions corresponding to each marked wall surface. Based on the information data of the marked sub-regions corresponding to each marked wall surface, the method calculates the local stress data corresponding to each marked sub-region of each marked wall surface, thereby identifying the information data of the abnormal sub-regions corresponding to each marked wall surface. Based on the information data of the abnormal sub-regions corresponding to each marked wall surface, the method predicts the information data of the crack direction corresponding to each marked wall surface, and then performs repairs based on the information data of the crack direction corresponding to each marked wall surface. This method effectively improves the accuracy of the survey and calculation results, thereby effectively and reasonably repairing the damaged wall surface.

[0032] 2. By confirming the local stress data corresponding to each marked sub-region of each marked wall surface, and comparing the local stress data corresponding to each marked sub-region of each marked wall surface with the standard stress data, if the local stress data corresponding to the marked sub-region of the marked wall surface is lower than the standard stress data, then the marked sub-region of the marked wall surface is set as an abnormal sub-region, thereby effectively filtering out abnormal sub-regions, and further analyzing the abnormal sub-regions, thus effectively improving the accuracy of the survey and calculation results. Attached Figure Description

[0033] Figure 1 This is a flowchart of the method for surveying and calculating the construction area in an embodiment of this application.

[0034] Figure 2 This is a schematic diagram of the system for surveying and calculating the construction area in an embodiment of this application. Detailed Implementation

[0035] The following is in conjunction with the appendix Figure 1-2 This application will be described in further detail.

[0036] Example 1

[0037] This application discloses a method for surveying and calculating construction areas.

[0038] Reference Figure 1 A method for surveying and calculating construction areas, comprising the following steps:

[0039] Area division: Count the number of walls to be surveyed within the construction area, and divide each wall into sub-areas using a planar grid method;

[0040] Basic parameter detection of the wall surface: The basic parameter data of each sub-area of ​​each wall surface in the construction area are detected. The basic parameter data of each sub-area of ​​each wall surface includes the sub-area length data, sub-area width data and sub-area thickness data.

[0041] Wall image acquisition and processing: Image data of each sub-region of each wall is acquired by an image acquisition device, and the acquired image data of each sub-region of each wall is subjected to noise reduction and filtering. Then, the image data corresponding to each sub-region of each wall after noise reduction and filtering is confirmed. Then, the image data corresponding to each sub-region of each wall is matched and filtered with the standard image data corresponding to each sub-region of each wall. If the image data corresponding to a wall sub-region is inconsistent with the standard image data corresponding to that wall sub-region, the wall sub-region is set as a marked sub-region, and the wall corresponding to the marked sub-region is marked as a marked wall. Then, the marked sub-region information data corresponding to each marked wall is confirmed.

[0042] Specifically, filtering is the process of removing unwanted components from data using specific algorithms or techniques. In data analysis, filtering typically refers to removing high-frequency noise or low-frequency interference from data in order to more clearly observe the main trends or patterns in the data.

[0043] Noise reduction refers to the process of reducing or eliminating random noise in data, with the aim of improving the signal-to-noise ratio. Noise reduction can be achieved through various algorithms, including statistical methods, filtering techniques, and more advanced machine learning methods.

[0044] Wall damage analysis and treatment: Based on the information data of the marked sub-regions corresponding to each marked wall, the local stress data corresponding to each marked sub-region of each marked wall is calculated. Based on the local stress data corresponding to each marked sub-region of each marked wall, the information data of the abnormal sub-regions corresponding to each marked wall is confirmed. Then, based on the information data of the abnormal sub-regions corresponding to each marked wall, the information data of the crack direction corresponding to each marked wall is predicted. Finally, repairs are carried out based on the information data of the crack direction corresponding to each marked wall.

[0045] The above technical solution involves collecting image data of each sub-region of each wall surface within the construction area, matching and filtering the image data of each sub-region with the corresponding standard image data, identifying the marked sub-region information data of each marked wall surface, calculating the local stress data of each marked sub-region of each marked wall surface based on the marked sub-region information data, identifying the abnormal sub-region information data of each marked wall surface, predicting the crack direction information data of each marked wall surface based on the abnormal sub-region information data, and then carrying out repairs based on the crack direction information data of each marked wall surface. This effectively improves the accuracy of the survey and calculation results, thereby effectively and reasonably repairing the damaged wall surface.

[0046] Furthermore, the marker sub-region information data includes marker sub-region radius data, region spacing data, and marker sub-region area data;

[0047] The abnormal sub-region information data includes the abnormal sub-region type, the number of abnormal sub-regions, the location of the abnormal sub-regions, and the area and depth data corresponding to the abnormal sub-regions; the abnormal sub-region type includes depression type and crack type.

[0048] Specifically, in the embodiments of this application, the depression type is characterized as a hole or a circular depression, and the crack type is characterized as a small-scale crack.

[0049] It should be noted that the calculation of the local stress data corresponding to each marker sub-region of each marker wall based on the marker sub-region information data specifically includes:

[0050] Obtain the external force data Pi-wl acting on each marked wall surface, where i represents the number corresponding to each marked wall surface, i = 1, 2, 3, ..., j, and Pi-wl represents the external force data corresponding to the i-th marked wall surface. Then, calculate using the formula... The local stress data αin corresponding to each marked sub-region on each marked wall surface were obtained;

[0051] Where n represents the number corresponding to each marked sub-region, n = 1, 2, 3, ..., m, αin represents the local stress data corresponding to the nth marked sub-region of the i-th marked wall, ain represents the radius data corresponding to the nth marked sub-region of the i-th marked wall, din-max and din-min represent the maximum and minimum distance data between the nth marked sub-region of the i-th marked wall and the edge of the marked wall, respectively, Sin represents the area data corresponding to the nth marked sub-region of the i-th marked wall, and βin is the positional influence correction coefficient corresponding to the nth marked sub-region of the i-th marked wall.

[0052] Furthermore, the step of confirming the abnormal sub-region information data corresponding to each marked wall surface based on the local stress data corresponding to each marked sub-region specifically includes:

[0053] The local stress data corresponding to each marked sub-region of each marked wall surface is compared with the standard stress data. If the local stress data corresponding to a marked sub-region of a marked wall surface is lower than the standard stress data, the marked sub-region corresponding to the marked wall surface is set as an abnormal sub-region, thereby confirming the abnormal sub-region information data.

[0054] It should be noted that the crack direction information data corresponding to each marked wall surface is predicted based on the abnormal sub-region information data corresponding to each marked wall surface, and then repairs are carried out based on the crack direction information data corresponding to each marked wall surface, specifically including:

[0055] Obtain the number of abnormal sub-regions of the concave type in each marked wall surface and the location of each abnormal sub-region. If the number of abnormal sub-regions is lower than a preset threshold and the location of each abnormal sub-region is randomly distributed, then only the marked wall surface needs to be repaired.

[0056] If the number of abnormal sub-regions is lower than a preset threshold and the positions corresponding to each abnormal sub-region are linearly arranged, then the crack direction information data is confirmed based on the linear arrangement, and the marked wall surface is reinforced based on the crack direction information data.

[0057] Specifically, if the number of abnormal sub-regions exceeds a preset threshold, the marked wall surface is identified as a dangerous wall surface and is processed according to a preset processing method, which is set to renovation.

[0058] Furthermore, the step of predicting the crack direction information corresponding to each marked wall surface based on the abnormal sub-region information data corresponding to each marked wall surface, and then performing repairs based on the crack direction information data corresponding to each marked wall surface, specifically includes:

[0059] The location of the abnormal sub-regions of the crack type in each marked wall surface and the corresponding depth of each abnormal sub-region are obtained. Based on the location of each abnormal sub-region, it is confirmed whether there are cracks in the same direction. If there are, the maximum depth of the cracks in the same direction is further confirmed. The maximum depth of the cracks in the same direction is compared with the wall thickness of the corresponding sub-region to confirm the thickness anomaly coefficient. The thickness anomaly coefficient is compared with a preset thickness anomaly threshold. If the thickness anomaly coefficient exceeds the preset thickness anomaly threshold, the marked wall surface is determined to be a dangerous wall surface and is processed according to a preset processing method.

[0060] Furthermore, it also includes:

[0061] If the cracks in the same direction or the crack direction information divide the marked wall surface longitudinally or laterally, and the exact dividing line runs through both ends of the marked wall surface, then the marked wall surface is determined to be a dangerous wall surface and is treated according to a preset treatment method.

[0062] Example 2

[0063] This application also discloses a construction area survey and calculation system.

[0064] Reference Figure 2 A construction area survey and calculation system, comprising:

[0065] The area division module is used to count the number of walls to be surveyed within the construction area and divide each wall into sub-areas using a planar grid method.

[0066] Wall surface basic parameter detection module: used to detect the basic parameter data of each sub-region of each wall surface within the construction area. The basic parameter data corresponding to each sub-region of each wall surface includes sub-region length data, sub-region width data, and sub-region thickness data.

[0067] Wall image acquisition and processing module: This module is used to acquire image data of each sub-region of each wall using an image acquisition device, and to perform noise reduction and filtering on the acquired image data of each sub-region of each wall. It then confirms the image data corresponding to each sub-region of each wall after noise reduction and filtering, and matches and filters the image data corresponding to each sub-region of each wall with the standard image data corresponding to each sub-region of each wall. If the image data corresponding to a wall sub-region is inconsistent with the standard image data corresponding to that wall sub-region, the wall sub-region is set as a marked sub-region, and the wall corresponding to the marked sub-region is marked as a marked wall. This confirms the marked sub-region information data corresponding to each marked wall.

[0068] The wall damage analysis and processing module is used to calculate the local stress data corresponding to each marked sub-region of each marked wall based on the information data of the marked sub-regions of each marked wall, to confirm the abnormal sub-region information data corresponding to each marked wall based on the local stress data of each marked sub-region of each marked wall, and then to predict the crack direction information data corresponding to each marked wall based on the abnormal sub-region information data corresponding to each marked wall, and then to carry out repairs based on the crack direction information data corresponding to each marked wall.

[0069] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in the claims, they should all fall within the protection scope of the present invention.

[0070] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0071] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to specific implementations. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for surveying and calculating construction areas, characterized in that, Includes the following steps: Area division: Count the number of walls to be surveyed within the construction area, and divide each wall into sub-areas using a planar grid method; Basic parameter detection of the wall surface: The basic parameter data of each sub-area of ​​each wall surface in the construction area are detected. The basic parameter data of each sub-area of ​​each wall surface includes the sub-area length data, sub-area width data and sub-area thickness data. Wall image acquisition and processing: Image data of each sub-region of each wall is acquired by an image acquisition device, and the acquired image data of each sub-region of each wall is subjected to noise reduction and filtering. Then, the image data corresponding to each sub-region of each wall after noise reduction and filtering is confirmed. Then, the image data corresponding to each sub-region of each wall is matched and filtered with the standard image data corresponding to each sub-region of each wall. If the image data corresponding to a wall sub-region is inconsistent with the standard image data corresponding to that wall sub-region, the wall sub-region is set as a marked sub-region, and the wall corresponding to the marked sub-region is marked as a marked wall. Then, the marked sub-region information data corresponding to each marked wall is confirmed. Wall damage analysis and treatment: Based on the information data of the marked sub-regions of each marked wall, the local stress data of each marked sub-region of each marked wall is calculated. Based on the local stress data of each marked sub-region of each marked wall, the information data of the abnormal sub-regions of each marked wall is confirmed. Then, based on the information data of the abnormal sub-regions of each marked wall, the information data of the crack direction of each marked wall is predicted. Finally, based on the information data of the crack direction of each marked wall, repairs are carried out. The marker sub-region information data includes marker sub-region radius data, region spacing data, and marker sub-region area data; The abnormal sub-region information data includes the abnormal sub-region type, the number of abnormal sub-regions, the location of the abnormal sub-regions, and the area and depth data corresponding to the abnormal sub-regions; the abnormal sub-region type includes depression type and crack type. The calculation of local stress data corresponding to each marker sub-region of each marker wall surface based on the marker sub-region information data specifically includes: Obtain external force data acting on each marked wall surface. , This is represented by the number corresponding to each marked wall surface. , Represented as the first The external force data corresponding to each marked wall surface is then used to calculate the formula. The local stress data corresponding to each marked sub-area on each marked wall surface were obtained. ; in, This is represented by the number corresponding to each marked sub-region. , Represented as the first The first marked wall Local stress data corresponding to each marked sub-region Represented as the first The first marked wall Radius data corresponding to each marked sub-region Represented as the first The first marked wall Maximum and minimum spacing data between each marked sub-region and the edge of the marked wall. Represented as the first The first marked wall Area data corresponding to each marked sub-region Represented as the first The first marked wall The position of each marked sub-region affects the correction coefficient.

2. The method for surveying and calculating a construction area according to claim 1, characterized in that: The process of confirming the abnormal sub-region information data corresponding to each marked wall surface based on the local stress data corresponding to each marked sub-region specifically includes: The local stress data corresponding to each marked sub-region of each marked wall surface is compared with the standard stress data. If the local stress data corresponding to a marked sub-region of a marked wall surface is lower than the standard stress data, the marked sub-region corresponding to the marked wall surface is set as an abnormal sub-region, thereby confirming the abnormal sub-region information data.

3. The method for surveying and calculating a construction area according to claim 2, characterized in that: Based on the abnormal sub-region information data corresponding to each marked wall surface, the crack direction information data corresponding to each marked wall surface is predicted, and then repairs are carried out based on the crack direction information data corresponding to each marked wall surface, specifically including: Obtain the number of abnormal sub-regions of the concave type in each marked wall surface and the location of each abnormal sub-region. If the number of abnormal sub-regions is lower than a preset threshold and the location of each abnormal sub-region is randomly distributed, then only the marked wall surface needs to be repaired. If the number of abnormal sub-regions is lower than a preset threshold and the positions corresponding to each abnormal sub-region are linearly arranged, then the crack direction information data is confirmed based on the linear arrangement, and the marked wall surface is reinforced based on the crack direction information data.

4. The method for surveying and calculating a construction area according to claim 3, characterized in that: The process of predicting the crack direction information corresponding to each marked wall surface based on the abnormal sub-region information data corresponding to each marked wall surface, and then performing repairs based on the crack direction information data corresponding to each marked wall surface, specifically includes: The location of the abnormal sub-regions of the crack type in each marked wall surface and the corresponding depth of each abnormal sub-region are obtained. Based on the location of each abnormal sub-region, it is confirmed whether there are cracks in the same direction. If there are, the maximum depth of the cracks in the same direction is further confirmed. The maximum depth of the cracks in the same direction is compared with the wall thickness of the corresponding sub-region to confirm the thickness anomaly coefficient. The thickness anomaly coefficient is compared with a preset thickness anomaly threshold. If the thickness anomaly coefficient exceeds the preset thickness anomaly threshold, the marked wall surface is determined to be a dangerous wall surface and is processed according to a preset processing method.

5. The method for surveying and calculating a construction area according to claim 4, characterized in that: Also includes: If the cracks in the same direction or the crack direction information divide the marked wall surface longitudinally or laterally, and the exact dividing line runs through both ends of the marked wall surface, then the marked wall surface is determined to be a dangerous wall surface and is treated according to a preset treatment method.

6. A construction area survey and calculation system, applied to the construction area survey and calculation method described in any one of claims 1-5, characterized in that, include: The area division module is used to count the number of walls to be surveyed within the construction area and divide each wall into sub-areas using a planar grid method. Wall surface basic parameter detection module: used to detect the basic parameter data of each sub-region of each wall surface within the construction area. The basic parameter data corresponding to each sub-region of each wall surface includes sub-region length data, sub-region width data, and sub-region thickness data. Wall image acquisition and processing module: This module is used to acquire image data of each sub-region of each wall using an image acquisition device, and to perform noise reduction and filtering on the acquired image data of each sub-region of each wall. It then confirms the image data corresponding to each sub-region of each wall after noise reduction and filtering, and matches and filters the image data corresponding to each sub-region of each wall with the standard image data corresponding to each sub-region of each wall. If the image data corresponding to a wall sub-region is inconsistent with the standard image data corresponding to that wall sub-region, the wall sub-region is set as a marked sub-region, and the wall corresponding to the marked sub-region is marked as a marked wall. This confirms the marked sub-region information data corresponding to each marked wall. The wall damage analysis and processing module is used to calculate the local stress data corresponding to each marked sub-region of each marked wall based on the information data of the marked sub-regions of each marked wall, to confirm the abnormal sub-region information data corresponding to each marked wall based on the local stress data of each marked sub-region of each marked wall, and then to predict the crack direction information data corresponding to each marked wall based on the abnormal sub-region information data corresponding to each marked wall, and then to carry out repairs based on the crack direction information data corresponding to each marked wall.

7. A computer-readable storage medium, characterized in that: The system stores instructions that, when executed on a computer, cause the computer to perform a construction area survey and calculation method as described in any one of claims 1 to 5.

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