Wall surface flatness correction method and system for building construction

Abstract

The invention discloses a wall flatness correction method and system for building construction, and relates to the technical field of building construction quality detection.The method comprises the following specific steps that S100, joint detection preparation is conducted, specifically, a wall is cleaned, a high-precision thermal imager and a flatness measuring tool are prepared, and preparation is made for joint detection; s200, thermal imaging and flatness synchronous detection, wherein a thermal imager is used for conducting comprehensive scanning on the wall face, and meanwhile a flatness measuring tool is used for conducting surface flatness detection; the thermal imaging technology and the flatness detection technology are fused, the problems of internal temperature abnormity and external flatness of the wall surface can be detected at the same time, comprehensive and deep evaluation of the wall surface quality is achieved, the defect that a traditional flatness detection means is insufficient in internal defect detection is overcome, and through data fusion analysis, the detection accuracy of the wall surface is improved. And areas with temperature anomaly and flatness problems can be accurately identified, so that the comprehensiveness and the accuracy of detection can be obviously improved.

Description

Technical Field

[0001] The invention relates to the technical field of building construction quality detection, and in particular to a wall flatness correction method and system for building construction. Background Art

[0002] In construction, wall flatness is one of the important indicators to measure project quality. It not only affects the aesthetics of the building, but is also directly related to the subsequent decoration effect and durability of use. Therefore, how to efficiently and accurately detect and correct wall flatness problems has always been the focus of attention in the field of construction. With the advancement of science and technology, non-destructive testing technology has been widely used. Among them, thermal imaging technology and flatness detection technology are two important means, each showing unique advantages in specific fields.

[0003] Traditional wall flatness detection methods mainly rely on mechanical or laser flatness measurement tools. Although these methods can intuitively reflect the surface flatness of the wall, they are powerless against defects such as cavities and cracks that may exist inside the wall. These internal defects will not only affect the flatness of the wall, but may also pose a threat to the overall structural safety of the building. On the other hand, thermal imaging technology, as a non-contact, non-destructive detection method, can effectively reveal the temperature distribution inside the object and thus discover potential hidden defects. However, when using thermal imaging technology alone for wall detection, due to the lack of direct correlation with surface flatness, it is difficult to accurately judge the degree of influence of abnormal temperature areas on wall flatness.

[0004] In view of the above problems, it is necessary to optimize the existing wall flatness correction method and system for construction. By synchronously collecting thermal imaging images and flatness measurement data, comprehensive detection and analysis of internal and external problems of the wall can be achieved, so as to formulate a more scientific and reasonable correction plan. Therefore, it is of great significance to develop a wall flatness correction method and system for construction that can comprehensively realize the above characteristics. Summary of the invention

[0005] The purpose of the present invention is to make up for the shortcomings of the prior art and provide a wall flatness correction method and system for construction. It can realize comprehensive detection and analysis of problems inside and outside the wall by synchronously collecting thermal imaging images and flatness measurement data. By using algorithm technology, the two types of detection data are deeply integrated to accurately identify areas with both abnormal temperature and poor flatness, thereby revealing more hidden structural problems. Based on these data, the present invention can formulate a more scientific and reasonable correction plan, which not only solves the surface flatness problem, but also effectively prevents and repairs potential defects inside the wall, significantly improving the overall quality and efficiency of construction.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: On the one hand, a method for correcting the flatness of a wall surface for construction, the method comprising the following specific steps:

[0007] S100, joint inspection preparation: clean the wall and prepare a high-precision thermal imager and flatness measurement tool to prepare for joint inspection;

[0008] S200, thermal imaging and flatness simultaneous detection: Use a thermal imager to fully scan the wall surface, and use a flatness measurement tool to detect the surface flatness;

[0009] S300, data fusion analysis: fuse the thermal imaging image with the flatness measurement data, and identify the corresponding relationship between the abnormal temperature area and the poor flatness area through algorithm analysis;

[0010] S400, problem area diagnosis and correction plan design: Based on the results of data fusion analysis, accurately diagnose the problem area, identify the defect type and severity, and design targeted correction plans;

[0011] S500, implement calibration and effect verification: repair the wall according to the calibration plan, and verify the effect again using a thermal imager and flatness measurement tool.

[0012] Furthermore, the step S200 includes:

[0013] S201, start the thermal imager to perform a comprehensive scan of the wall surface and record a temperature distribution image of the wall surface;

[0014] S202, while performing thermal imaging scanning, use a flatness measurement tool to measure the surface flatness of the wall;

[0015] S203, synchronously recording the thermal imaging image and the flatness measurement data, and ensuring that the corresponding relationship between the two is accurate.

[0016] Furthermore, the step S300 includes:

[0017] S301, preprocessing the thermal imaging image, matching the processed thermal imaging image with the flatness measurement data, and establishing a corresponding relationship between the two;

[0018] S302, identifying temperature abnormality areas in the thermal imaging image through algorithm analysis, and judging whether these areas also have flatness problems in combination with the flatness measurement data;

[0019] S303, comprehensively evaluate the wall surface flatness condition by integrating the abnormal temperature area and the flatness measurement data, and identify potential problem areas that need special attention.

[0020] Furthermore, the step S301 matches the processed thermal imaging image with the flatness measurement data to establish a corresponding relationship between the two, and the algorithm formula used is: F = k·(T avg -T ref )+b, where k is the proportionality coefficient, indicating the influence of temperature difference on flatness deviation, T avg is the average temperature of the temperature anomaly area, T ref is the reference temperature, i.e., the average temperature of the defect-free wall area, and b is the intercept term, which represents the flatness deviation that may exist even in the absence of temperature anomalies.

[0021] Furthermore, the step 302 identifies the temperature abnormality areas in the thermal imaging image through algorithm analysis, and determines whether these areas also have flatness problems in combination with the flatness measurement data. The algorithm formula used is: in, is the average temperature value of the thermal imaging image, is the average flatness value of the flatness measurement data, α and β are weight coefficients, T(x, y) is the temperature value of a pixel in the thermal imaging image, F(x, y) is the flatness value of the flatness measurement data at the corresponding position, and M(x, y) is the abnormality index. For M(x, y) ≤ threshold S, it indicates that the temperature and flatness of the position are close to the overall average and are not a problem area. For M(x, y) > threshold S, it indicates that the temperature and flatness of the position are significantly different from the average and are potential problem areas.

[0022] Furthermore, in step S303, the specific steps of comprehensively evaluating the flatness of the wall surface are:

[0023] (1) Cross-validate the temperature anomaly area and the flatness anomaly area to find out the areas with both temperature anomaly and flatness problems;

[0024] (2) Preliminary determination of the defect type based on the characteristics of temperature anomaly and flatness anomaly;

[0025] (3) Assess the severity of the defect by combining the degree of temperature anomaly and the specific value of flatness measurement;

[0026] (4) Prepare a comprehensive assessment report, record in detail the temperature abnormality area, flatness abnormality area, defect type and severity information, and put forward corresponding correction suggestions.

[0027] Furthermore, the step S400 includes:

[0028] S401, conduct on-site inspection of the identified problem areas to further confirm the defect type and severity;

[0029] S402, Defect Classification: Based on the survey results, defects are classified into different types, such as surface flatness problems, internal hollowing and cracks;

[0030] S403, design correction solutions for different types of defects.

[0031] Furthermore, the S403 designs correction schemes for different types of defects, and the specific measures include:

[0032] (1) For surface flatness issues, perform grinding and re-plastering;

[0033] (2) For internal hollowing problems, clear cutting and slurry reinforcement are carried out;

[0034] (3) For crack problems, clean the cracks and perform surface treatment;

[0035] (4) For uneven material problems, replace materials and perform local repairs.

[0036] Furthermore, the step S500 includes:

[0037] S501, repairing the wall surface according to the correction plan;

[0038] S502, after the repair is completed, the wall surface is inspected again using a thermal imager and a flatness measurement tool to verify whether the repair effect meets the quality requirements;

[0039] S503, performing regular follow-up inspections on the repaired wall surface.

[0040] On the other hand, a wall flatness correction system for building construction, the system comprising the following components: a joint detection module, a data fusion analysis module, a problem area diagnosis and correction scheme design module and an effect verification module;

[0041] The joint detection module integrates a high-precision thermal imager and a flatness measurement tool, which can simultaneously perform thermal imaging scanning and flatness measurement on the wall surface;

[0042] The data fusion analysis module is responsible for receiving the thermal imaging image and flatness measurement data collected by the joint detection module, fusing the thermal imaging image and the flatness measurement data through an algorithm, and identifying the corresponding relationship between the temperature abnormality area and the poor flatness area;

[0043] The problem area diagnosis and correction scheme design module accurately diagnoses the problem area based on the results of the data fusion analysis module, and designs targeted correction schemes according to the defect type and severity, including surface treatment and internal repair measures;

[0044] The correction execution module guides the construction personnel to perform wall repair processing according to the output of the correction scheme design module;

[0045] After the correction is completed, the effect verification module uses the thermal imager and the flatness measurement tool to detect the wall again, verifies whether the correction effect meets the quality requirements by comparing the data before and after the correction, and generates a correction effect report for user reference and archiving.

[0046] Compared with the prior art, the wall flatness correction method and system for building construction have the following beneficial effects:

[0047] 1. The present invention integrates thermal imaging technology with flatness detection technology to simultaneously detect internal temperature anomalies and external flatness problems of the wall, thereby achieving a comprehensive and in-depth evaluation of the wall quality. It not only makes up for the shortcomings of traditional flatness detection methods in insufficient detection of internal defects, but also accurately identifies those areas with both temperature anomalies and flatness problems through data fusion analysis, thereby significantly improving the comprehensiveness and accuracy of detection.

[0048] 2. Through data fusion analysis results, the present invention can accurately diagnose the problem area, clarify the type and severity of defects, and design more scientific and reasonable correction plans based on this. These correction plans not only include surface treatment measures, but also cover the necessary steps for internal repair, ensuring the comprehensiveness and effectiveness of the repair work. In addition, by implementing the effect verification link after correction, the repair effect can be evaluated in time to ensure that the quality of the repaired wall meets the standard requirements.

[0049] Other advantages, objectives and features of the present invention will be set forth in part in the following description and, in part, will be apparent to those skilled in the art based on an examination of the following or may be taught from the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0051] Figure 1 It is a wall flatness correction method and system flow chart for building construction;

[0052] Figure 2 The present invention is a flow chart of a wall flatness correction method and system for building construction. DETAILED DESCRIPTION

[0053] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] Embodiment 1

[0055] This embodiment describes in detail the specific application of the wall flatness correction method and system for construction. By synchronously collecting thermal imaging images and flatness measurement data, comprehensive detection and analysis of internal and external problems of the wall are achieved, thereby formulating a scientific and reasonable correction plan.

[0056] In the joint inspection preparation stage (S100), before cleaning the wall, evaluate the environmental conditions of the construction site, such as temperature, humidity, wind speed, etc., to ensure that these conditions will not have an adverse effect on the inspection equipment and results. If necessary, take measures to adjust the environmental conditions to meet the inspection requirements. At the same time, formulate and implement strict safety operating procedures to ensure the personal safety of inspectors during the operation, and equip them with necessary safety protection equipment, such as safety helmets, reflective vests, protective glasses, etc. In addition to preparing the main inspection equipment, spare equipment should also be prepared to prevent the main equipment from malfunctioning during the inspection process.

[0057] In the thermal imaging and flatness synchronous detection stage (S200), the thermal imager is started according to the operating procedures to perform a comprehensive scan of the wall. The thermal imager generates a wall temperature distribution image by capturing the infrared radiation emitted by the wall. While performing the thermal imaging scan, the surface flatness of the wall is measured using a flatness measuring tool. The measuring tool may be a laser rangefinder, a level ruler, or a special flatness measuring instrument. A suitable measuring tool is selected according to the actual situation of the wall to ensure the synchronous recording of the thermal imaging image and the flatness measurement data. This can be achieved through the device's own storage function or an external data recording device. At the same time, necessary information such as the detection time, location, and environmental conditions is recorded.

[0058] In the data fusion analysis stage (S300), the thermal imaging image is preprocessed by denoising, contrast enhancement and other preprocessing operations to improve the image quality, the flatness measurement data is sorted, outliers and invalid data are removed, and the processed thermal imaging image is matched with the flatness measurement data to establish a corresponding relationship between the two. This usually needs to be achieved through algorithm calculation to ensure that each temperature value can correspond to the corresponding flatness value. The algorithm is used to perform in-depth analysis on the matched data to identify temperature abnormal areas (such as areas with temperatures significantly higher or lower than surrounding areas), and combined with the flatness measurement data to determine whether these areas also have flatness problems. Through comprehensive analysis, potential problem areas that need to be focused on are identified.

[0059] In the problem area diagnosis and correction scheme design stage (S400), the identified problem area is surveyed on site to further confirm the defect type and severity. During the survey, the wall condition should be carefully observed, and the specific location, shape, size and other information of the defect should be recorded. The defects are classified according to the survey results, and targeted correction schemes are designed for different types of defects. For minor unevenness problems: use a grinder or sandpaper to grind the uneven area to make the wall surface flat and smooth. Apply an appropriate amount of putty powder to the grinded area and scrape it flat with a scraper. After the putty is dry, grind and polish it until the surface is flat. For larger uneven areas: For larger uneven areas, first remove the uneven old plaster layer, then re-apply new plaster material and perform leveling treatment. You can use professional leveling materials (such as gypsum-based leveling mortar, self-leveling cement, etc.) for quick leveling. These materials have the advantages of good fluidity, easy construction, and fast drying, which can significantly improve construction efficiency and quality. For internal hollowing problems: use cutting tools to cut the hollow area into regular geometric shapes, then remove the hollow plaster layer and base material, apply a layer of interface agent or adhesive on the treated base to increase the bonding force between the new plaster layer and the base, and then perform plastering according to the normal plastering process. Note Control the thickness and uniformity of the plaster layer. For areas with small hollows that are difficult to cut and remove, grouting reinforcement can be used. Special grouting materials (such as epoxy resin grouting materials, etc.) can be injected through drilling to fill the hollow areas and solidify to form a high-strength filling body. For crack problems: use tools such as brushes or hair dryers to clean dust and debris in the cracks. For wider cracks, cutting tools can be used to cut them into V-shaped grooves to facilitate better embedding of filling materials into the cracks. Select appropriate filling materials (such as putty powder, crack repair agent, elastic sealant, etc.) according to the width and depth of the cracks, apply the filling material evenly in the cracks, and press it with a scraper or your fingers. Solidify and smooth it. After the filling material is dry, carry out surface treatment. For walls that need to be painted, you can apply a layer of primer on the filling material to enhance adhesion. For other types of wall decoration materials, they should be handled according to the corresponding construction process. For uneven materials: If there are serious quality problems with the wall materials (such as insufficient strength, easy cracking, etc.), you may need to replace the entire wall material. For uneven materials in local areas, you can take local repair methods. First, remove the old materials in the problem area, and then repair them according to normal construction processes. When repairing, pay attention to the transition and connection with the surrounding walls to avoid color difference or unevenness.

[0060] In the calibration and effect verification stage (S500), the wall is repaired according to the calibration plan. During the construction process, the operating procedures and safety requirements should be strictly followed to ensure the construction quality and personnel safety. After the repair is completed, the wall is inspected again using a thermal imager and a flatness measurement tool. By comparing the data before and after the repair, it is verified whether the repair effect meets the quality requirements. If any problems are found, they should be handled in a timely manner until they meet the standard requirements. The repaired wall is regularly tracked and inspected to ensure long-term quality stability. The inspection content includes changes in indicators such as wall flatness and temperature distribution, and whether new defects appear.

[0061] In summary, this embodiment can accurately diagnose the problem area, clarify the defect type and severity, and design a more scientific and reasonable correction plan based on the data fusion analysis results. These correction plans not only include surface treatment measures, but also cover the necessary steps for internal repair, ensuring the comprehensiveness and effectiveness of the repair work.

[0062] Embodiment 2

[0063] Based on the first embodiment, this embodiment describes in detail the specific process of correction through thermal imaging images and flatness measurement in a wall flatness correction method and system for building construction.

[0064] During the simultaneous detection stage of thermal imaging and flatness, start the thermal imager in accordance with the operating procedures and conduct a comprehensive scan of the wall. The thermal imager generates a wall temperature distribution image by capturing the infrared radiation emitted by the wall. While performing the thermal imaging scan, use a flatness measuring tool to measure the surface flatness of the wall. The measuring tool can be a laser rangefinder, a level ruler or a special flatness measuring instrument. Choose the appropriate measuring tool based on the actual situation of the wall to ensure the simultaneous recording of the thermal imaging image and the flatness measurement data. This can be achieved through the device's built-in storage function or an external data recording device. At the same time, record necessary information such as the detection time, location, and environmental conditions.

[0065] In the data fusion analysis stage, the thermal imaging images are preprocessed by denoising and contrast enhancement to improve the image quality. The flatness measurement data are sorted to remove outliers and invalid data. The processed thermal imaging images are matched with the flatness measurement data to establish a corresponding relationship between the two. The algorithm formula used is: F = k·(T avg -T ref )+b, where k is the proportionality coefficient, indicating the influence of temperature difference on flatness deviation, T avg is the average temperature of the temperature anomaly area, T refis the reference temperature, i.e., the average temperature of the defect-free wall area, and b is the intercept term, which indicates the flatness deviation that may exist even when there is no temperature anomaly. It ensures that each temperature value can correspond to the corresponding flatness value. The algorithm is used to conduct in-depth analysis on the matched data to identify temperature anomaly areas (such as areas where the temperature is significantly higher or lower than the surrounding areas), and combined with the flatness measurement data to determine whether these areas also have flatness problems. Through comprehensive analysis, potential problem areas that need to be focused on are identified. The algorithm formula used is: in, is the average temperature value of the thermal imaging image, is the average flatness value of the flatness measurement data, α and β are weight coefficients, T(x, y) is the temperature value of a pixel in the thermal imaging image, F(x, y) is the flatness value of the flatness measurement data at the corresponding position, and M(x, y) is the abnormality index. When M(x, y) ≤ threshold S, it indicates that the temperature and flatness of the position are close to the overall average and may not be a problem area. When M(x, y) > threshold S, it indicates that the temperature and flatness of the position are significantly different from the average and may be a potential problem area, which requires further analysis.

[0066] Combine the temperature anomaly area and flatness measurement data to comprehensively evaluate the wall flatness condition and identify potential problem areas that need to be focused on. The specific steps are as follows:

[0067] (1) Cross-validate the temperature anomaly area and the flatness anomaly area to find out the areas with both temperature anomaly and flatness problems;

[0068] (2) Preliminary determination of the defect type based on the characteristics of temperature anomaly and flatness anomaly;

[0069] (3) Assess the severity of the defect by combining the degree of temperature anomaly and the specific value of flatness measurement;

[0070] (4) Prepare a comprehensive assessment report, record in detail the temperature abnormality area, flatness abnormality area, defect type, severity and other information, and put forward corresponding correction suggestions;

[0071] Based on the results of data fusion analysis, the problem area is accurately diagnosed, the defect type and severity are determined, and targeted correction plans are designed, including surface treatment and internal repair measures.

[0072] To summarize, this embodiment integrates thermal imaging technology with flatness detection technology to simultaneously detect internal temperature anomalies and external flatness problems of the wall, thereby achieving a comprehensive and in-depth evaluation of the wall quality. It also accurately identifies areas with both temperature anomalies and flatness problems through data fusion analysis, thereby significantly improving the comprehensiveness and accuracy of detection.

[0073] It will be apparent to those skilled in the art that the 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 the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A method for correcting wall flatness for construction, characterized in that: The method comprises the following specific steps: S100, joint inspection preparation: clean the wall and prepare a high-precision thermal imager and flatness measurement tool to prepare for joint inspection; S200, thermal imaging and flatness simultaneous detection: Use a thermal imager to fully scan the wall surface, and use a flatness measurement tool to detect the surface flatness; S300, data fusion analysis: fuse the thermal imaging image with the flatness measurement data, and identify the corresponding relationship between the abnormal temperature area and the poor flatness area through algorithm analysis; S400, problem area diagnosis and correction plan design: Based on the results of data fusion analysis, accurately diagnose the problem area, identify the defect type and severity, and design targeted correction plans; S500, implement calibration and effect verification: repair the wall according to the calibration plan, and verify the effect again using a thermal imager and flatness measurement tool.

2. The wall flatness correction method for construction according to claim 1, characterized in that: The step S200 includes: S201, start the thermal imager to perform a comprehensive scan of the wall surface and record a temperature distribution image of the wall surface; S202, while performing thermal imaging scanning, use a flatness measurement tool to measure the surface flatness of the wall; S203, synchronously recording the thermal imaging image and the flatness measurement data, and ensuring that the corresponding relationship between the two is accurate.

3. The wall flatness correction method for construction according to claim 1, characterized in that: The step S300 includes: S301, preprocessing the thermal imaging image, matching the processed thermal imaging image with the flatness measurement data, and establishing a corresponding relationship between the two; S302, identifying temperature abnormality areas in the thermal imaging image through algorithm analysis, and judging whether these areas also have flatness problems in combination with the flatness measurement data; S303, comprehensively evaluate the wall surface flatness condition by integrating the abnormal temperature area and the flatness measurement data, and identify potential problem areas that need special attention.

4. The wall flatness correction method for construction according to claim 3, characterized in that: The step S301 matches the processed thermal imaging image with the flatness measurement data to establish a corresponding relationship between the two. The algorithm formula used is: F = k·(T avg -T ref )+b, where k is the proportionality coefficient, indicating the influence of temperature difference on flatness deviation, T avg is the average temperature of the temperature anomaly area, T ref is the reference temperature, i.e., the average temperature of the defect-free wall area, and b is the intercept term, which represents the flatness deviation that may exist even in the absence of temperature anomalies.

5. The wall flatness correction method for construction according to claim 3, characterized in that: The step 302 identifies the temperature abnormality areas in the thermal imaging image through algorithm analysis, and determines whether these areas have flatness problems at the same time in combination with the flatness measurement data. The algorithm formula used is: in, is the average temperature value of the thermal imaging image, is the average flatness value of the flatness measurement data, α and β are weight coefficients, T(x, y) is the temperature value of a pixel in the thermal imaging image, F(x, y) is the flatness value of the flatness measurement data at the corresponding position, and M(x, y) is the abnormality index. For M(x, y) ≤ threshold S, it indicates that the temperature and flatness of the position are close to the overall average and are not a problem area. For M(x, y) > threshold S, it indicates that the temperature and flatness of the position are significantly different from the average and are potential problem areas.

6. The wall flatness correction method for construction according to claim 3, characterized in that: In step S303, the specific steps of comprehensively evaluating the flatness of the wall surface are as follows: (1) Cross-validate the temperature anomaly area and the flatness anomaly area to find out the areas with both temperature anomaly and flatness problems; (2) Preliminary determination of the defect type based on the characteristics of temperature anomaly and flatness anomaly; (3) Assess the severity of the defect by combining the degree of temperature anomaly and the specific value of flatness measurement; (4) Prepare a comprehensive assessment report, record in detail the temperature abnormality area, flatness abnormality area, defect type and severity information, and put forward corresponding correction suggestions.

7. The wall flatness correction method for construction according to claim 1, characterized in that: The step S400 includes: S401, conduct on-site inspection of the identified problem areas to further confirm the defect type and severity; S402, defect classification: Based on the survey results, defects are classified into different types such as surface flatness problems, internal hollowing and cracks; S403, design correction solutions for different types of defects.

8. The wall flatness correction method for construction according to claim 7, characterized in that: S403 designs correction schemes for different types of defects, and its specific measures include: (1) For surface flatness issues, perform grinding and re-plastering; (2) For internal hollowing problems, clear cutting and slurry reinforcement are carried out; (3) For crack problems, clean the cracks and perform surface treatment; (4) For uneven material problems, replace materials and perform local repairs.

9. The wall flatness correction method for building construction according to claim 1, characterized in that: The step S500 includes: S501, repairing the wall surface according to the correction plan; S502, after the repair is completed, the wall surface is inspected again using a thermal imager and a flatness measurement tool to verify whether the repair effect meets the quality requirements; S503, performing regular follow-up inspections on the repaired wall surface.

10. A wall flatness correction system for building construction, characterized in that: The system comprises the following components: a joint detection module, a data fusion analysis module, a problem area diagnosis and correction scheme design module and an effect verification module; The joint detection module integrates a high-precision thermal imager and a flatness measurement tool, which can simultaneously perform thermal imaging scanning and flatness measurement on the wall surface; The data fusion analysis module is responsible for receiving the thermal imaging image and flatness measurement data collected by the joint detection module, fusing the thermal imaging image and the flatness measurement data through an algorithm, and identifying the corresponding relationship between the temperature abnormality area and the poor flatness area; The problem area diagnosis and correction scheme design module accurately diagnoses the problem area based on the results of the data fusion analysis module, and designs targeted correction schemes according to the defect type and severity, including surface treatment and internal repair measures; The correction execution module guides the construction personnel to perform wall repair processing according to the output of the correction scheme design module; After the correction is completed, the effect verification module uses the thermal imager and the flatness measurement tool to detect the wall again, verifies whether the correction effect meets the quality requirements by comparing the data before and after the correction, and generates a correction effect report for user reference and archiving.

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