A method for detecting concrete cracks
By combining building information and meteorological information to screen the detection area, and using drones to perform preliminary shooting and appropriate detection methods, the problems of low detection efficiency of concrete cracks and insufficient processing accuracy in the prior art are solved, and efficient and accurate cracks are achieved Inspection and maintenance extend the service life of the building.
Patent Information
- Application Number
- CN202411578197.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-07
- Publication Date
- 2024-12-31
- Estimated Expiration
- 2044-11-07
AI Technical Summary
In the prior art, concrete crack detection efficiency is low and areas prone to cracks cannot be detected in a targeted manner, resulting in shortening of the service life of the building, and insufficient accuracy and attention of the treatment method, resulting in wasting resources.
By obtaining the construction information and meteorological information of the building, screening the detection area, using drones for preliminary shooting to obtain structural information, selecting appropriate detection methods, and generating crack detection and maintenance reports.
It improves the efficiency and accuracy of concrete crack detection, extends the service life of the building, ensures the accuracy of crack treatment, and avoids waste of resources.
Smart Images
Figure CN119086887B_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of concrete detection, and in particular to a concrete crack detection method. Background Art
[0002] In modern building structures, concrete is one of the main building materials. The stability and durability of its performance are directly related to the safety and service life of the building. However, due to various factors in the construction process, cracks often appear in concrete during use. The appearance of cracks may indicate the concentration of internal stress in the structure or the deterioration of the material. If not discovered and handled in time, the cracks may gradually expand, eventually leading to a decrease in the overall stability and bearing capacity of the structure. This will not only endanger the safe use of the building, but may also cause serious economic losses and casualties. Therefore, crack detection of concrete is particularly important and necessary.
[0003] The existing technology for concrete crack detection can meet the current requirements to a certain extent, but there are still certain defects, which are specifically reflected in the following aspects: most of the existing technologies directly detect concrete cracks. On the one hand, due to the large scale of concrete buildings, it is time-consuming and labor-intensive to detect cracks in all concrete buildings, which leads to low efficiency. The raw materials, proportions, construction and meteorological information of concrete have a certain influence on the cracks in concrete, which indirectly reflects which areas of the building are prone to cracks. The neglect of this aspect in the existing technology makes it difficult to detect areas prone to cracks in a targeted manner, reducing the efficiency of concrete crack detection, which is not conducive to preventing the further deterioration of concrete cracks, thereby shortening the service life of the building. On the other hand, most of the existing technologies generate reports based on the detection results of concrete cracks, and the screening of treatment methods for concrete cracks is not highly concerned, which reduces the accuracy of concrete crack treatment, affects the maintenance effect of concrete cracks, and causes resource waste to a certain extent. Summary of the invention
[0004] The purpose of the present invention is to provide a concrete crack detection method, which solves the problems existing in the background technology.
[0005] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a concrete crack detection method, including: S1 concrete monitoring area screening: obtaining the construction information of each construction area of the target building from the construction platform, and combining with the meteorological information platform to obtain the meteorological information of the target building, and then screening the crack detection areas of the target building accordingly.
[0006] S2 detection method screening: According to the crack detection areas of the target building, use a drone to take preliminary photos of the crack detection areas of the target building to obtain images of the crack detection areas of the target building, and obtain the structural information of the crack detection areas of the target building, and then judge the appropriate detection method for the crack detection areas of the target building.
[0007] S3 Concrete crack detection: Use appropriate detection methods for each crack detection area of the target building to perform crack detection, generate a crack detection report for each crack detection area of the target building, and generate a crack maintenance report for the target building.
[0008] S4 display processing: displaying the crack detection report of each crack detection area of the target building and the crack maintenance report of the target building.
[0009] The beneficial effects of the present invention are as follows: (1) In the S1 concrete monitoring area screening, the present invention first screens the crack detection areas of the target building according to the construction information of each construction area of the target building in combination with the meteorological information of the target building, thereby making up for the defect of neglecting this aspect in the prior art, and specifically detecting the areas prone to cracks, thereby improving the efficiency of concrete crack detection, which is beneficial to preventing the further deterioration of concrete cracks, thereby extending the service life of the building.
[0010] (2) In the S2 detection method screening, the present invention selects appropriate detection methods for each crack detection area of the target building based on the preliminary captured images of each crack detection area of the target building in combination with the structural information of each crack detection area of the target building, thereby avoiding the blindness of the selection of detection methods for each crack area of the target building, improving the accuracy of crack detection of the target building, and laying a foundation for the analysis of subsequent maintenance methods.
[0011] (3) The present invention detects each crack detection area of the target building in S3 concrete crack detection and generates a crack detection report and a maintenance report, which overcomes the deficiency of low attention to this aspect in the prior art, improves the accuracy of concrete crack treatment, ensures the maintenance effect of concrete cracks, and avoids resource waste to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS
[0012] 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 description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0013] Figure 1 The present invention is a schematic flow chart of the steps for implementing the method. DETAILED DESCRIPTION
[0014] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. 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.
[0015] Reference Figure 1 As shown, the present invention provides a concrete crack detection method, including: S1 concrete monitoring area screening: obtaining construction information of each construction area of the target building from the construction platform, and combining with the meteorological information platform to obtain the meteorological information of the target building, and then screening the crack detection areas of the target building accordingly.
[0016] In a specific embodiment of the present invention, the construction information includes raw material data, mix ratio data, and construction data, wherein the raw material data includes the cement setting time and the mud content of the aggregate, the mix ratio data includes the water-cement ratio, the amount of silt used, and the pH value of the concrete solution, the construction data includes the moving speed and insertion depth of the vibrator, the formwork humidity, the construction speed and the curing cycle, and the meteorological information includes the temperature, humidity and wind speed at each time point.
[0017] In a specific embodiment of the present invention, the specific screening method for screening the crack detection areas of the target building is as follows: extracting the temperature, humidity and wind speed at each time point from the meteorological information of the target building, and then obtaining the construction time period of each construction area of the target building from the building platform, screening the temperature, humidity and wind speed of each associated time point of each construction area of the target building, and obtaining the first-level detection requirement confidence of each construction area of the target building through data processing. Wherein i is the number of each construction area, i=1,2,...,n, and n is any integer greater than 2.
[0018] Extract raw material data, ratio data and construction data from the construction information of each construction area of the target building, and obtain the secondary detection demand confidence of each construction area of the target building through data processing.
[0019] Import the first-level detection demand confidence and second-level detection demand confidence of each construction area of the target building into the crack demand detection value assessment model where φ i is the crack detection demand value of the i-th construction area of the target building, They are respectively the preset first-level detection requirement confidence threshold and the second-level detection requirement confidence threshold, and ∨ represents the logical symbol or.
[0020] When the crack demand detection value is 1, it means that crack detection is needed. When the crack demand detection value is -1, it means that crack detection is not needed. Each construction area with a crack demand detection value of 1 is recorded as a crack detection area, and then the crack detection areas of the target building are obtained.
[0021] In a specific embodiment of the present invention, the first-level detection requirement confidence level of each construction area of the target building is The specific analysis method is as follows: according to the temperature, humidity and wind speed of each construction area of the target building at each associated time point, the temperature difference, humidity difference and wind speed difference of each construction area of the target building are obtained, and they are compared with the suitable construction temperature difference, suitable construction humidity difference and suitable construction wind speed difference stored in the database respectively. If there is at least one temperature difference greater than the suitable construction temperature difference, humidity difference greater than the suitable construction humidity difference or wind speed difference greater than or equal to the suitable construction wind speed difference in a construction area of the target building, then the first-level detection requirement confidence of the construction area is recorded as A, otherwise, it is recorded as A', and the first-level detection requirement confidence of each construction area of the target building is obtained. in The value of is A or A'.
[0022] In a specific embodiment of the present invention, the secondary detection requirement confidence level of each construction area of the target building is The specific analysis method is: extract the cement setting time and mud content of aggregate from the raw material data of each construction area of the target building, extract the water-cement ratio, silt usage, and pH value of the concrete solution from the mix data, and extract the vibrator's moving speed and insertion depth, formwork humidity, construction speed, and curing cycle from the construction data.
[0023] The qualified raw material data, qualified mix ratio data and qualified construction data of the building construction are obtained from the database, and the cement setting time and aggregate mud content of each construction area of the target building are compared with the qualified cement setting time interval and the qualified aggregate mud content interval in the qualified raw material data of the building construction. If the cement setting time of a certain building area is not within the qualified cement setting time interval or the aggregate mud content is not within the qualified mud content interval, the raw material risk coefficient of the building area is recorded as U, otherwise, it is recorded as U', and the raw material risk coefficient ε of each construction area of the target building is obtained. i , where ε i The value of is U or U'.
[0024] After similar processing, the ratio risk coefficient η of each construction area of the target building is obtained i and construction risk factor μ iIf a construction area of the target building has at least one raw material risk factor greater than the preset raw material risk factor threshold, a ratio risk factor greater than the preset ratio risk factor threshold, or a construction risk factor greater than the preset construction risk factor threshold, then the secondary detection requirement confidence of the construction area is recorded as R, otherwise, it is recorded as R', and the secondary detection requirement confidence of each construction area of the target building is obtained. in The value is R or R'.
[0025] In the S1 concrete monitoring area screening, the present invention first screens the crack detection areas of the target building according to the construction information of each construction area of the target building in combination with the meteorological information of the target building, thereby making up for the defect of neglecting this aspect in the prior art, and specifically detecting the areas prone to cracks, thereby improving the efficiency of concrete crack detection, which is beneficial to preventing the further deterioration of concrete cracks, thereby extending the service life of the building.
[0026] S2 detection method screening: According to the crack detection areas of the target building, use a drone to take preliminary photos of the crack detection areas of the target building to obtain images of the crack detection areas of the target building, and obtain the structural information of the crack detection areas of the target building, and then judge the appropriate detection method for the crack detection areas of the target building.
[0027] In a specific embodiment of the present invention, the specific evaluation method for judging the appropriate detection method for each crack detection area of the target building is: obtaining structural feature values from the structural information of each crack detection area of the target building, combining the appropriate use structural feature value set of each detection method stored in the database, and screening each suitable detection method for each crack detection area of the target building.
[0028] It should be understood that the structural characteristic value is set by relevant professionals and specifically represents the importance of the crack detection area in the target building, for example, the beams, slabs, columns and other structures of the building are of high importance, and the columns of the bridge are of high importance.
[0029] Based on the images of each crack detection area of the target building, the crack existence status, crack surface width, crack surface length, water accumulation area, mud area, crack depth and strike angle, and number of cracks in each crack detection area of the target building are obtained, where the crack existence status includes existence and non-existence.
[0030] It should be understood that the crack depth angle is the angle between the crack fitting morphology straight line and the concrete surface characteristic straight line. The concrete surface characteristic straight line is specifically: randomly select a point on the concrete surface, and then randomly select another point along the upward or downward direction of the image to form a characteristic straight line of the concrete surface.
[0031] The appropriate crack number range, crack existence status, appropriate crack area range, allowable water accumulation area and mud area in the crack, and required crack depth and direction angle range corresponding to each detection method are extracted from the database, the matching degree between each crack detection area of the target building and each appropriate detection method is evaluated, and the appropriate detection method for each crack detection area of the target building is screened.
[0032] It should be noted that, based on the matching degree between each crack detection area of the target building and each suitable detection method, if the matching degree between a crack detection area of the target building and a suitable detection method is the largest, then the suitable detection method is used as the suitable detection method for the crack detection area to obtain the suitable detection methods for each crack detection area of the target building.
[0033] In a specific embodiment of the present invention, the specific analysis method for screening the appropriate detection methods for the crack detection areas of the target building is as follows: comparing the structural characteristic values of the crack detection areas of the target building with the elements in the set of appropriate structural characteristic values for each detection method; if the structural characteristic value of a crack detection area of the target building is the same as an element in the set of appropriate structural characteristic values for a detection method, then the detection method is recorded as the appropriate detection method for the crack detection area, and the appropriate detection methods for the crack detection areas of the target building are obtained.
[0034] In a specific embodiment of the present invention, the matching degree between each crack detection area of the target building and each suitable detection method is evaluated by a specific evaluation method: based on the suitable crack quantity interval, crack existence status, suitable crack area interval, allowable water accumulation area and mud area in the crack, and required crack depth direction angle interval corresponding to each detection method, the suitable crack quantity interval, crack existence status, suitable crack area, allowable water accumulation area and mud area in the crack, and required crack depth direction angle interval corresponding to each suitable detection method of each crack detection area of the target building are screened.
[0035] After data processing, the corresponding values β of each crack detection area of the target building and each indicator data of each suitable detection method are obtained. mjp , and then evaluate the matching degree between each crack detection area of the target building and each suitable detection method where ζ mj is the matching degree between the mth crack detection area of the target building and the jth suitable detection method, m is the number of each crack detection area, m=1,2,...,l, l is any integer greater than 2, j is the number of each suitable detection method, j=1,2,...,k, k is any integer greater than 2, p is the number of each indicator data, p=1,2,...,q, q is any integer greater than 2.
[0036] It should be explained that the specific evaluation method of the conformity value between each crack detection area of the target building and each indicator data of each suitable detection method is as follows: the indicator data include crack existence status, crack area, water accumulation area, mud area, crack depth and direction angle, and number of cracks. For example, the crack existence status of each crack detection area of the target building is compared with the crack existence status of each suitable detection method. If the crack existence status of a crack detection area is the same as the crack existence status of a suitable detection method, then the conformity value between the crack detection area and the crack existence status of the suitable detection method is recorded as IY, otherwise, it is recorded as IY', where IY>IY', to obtain the conformity value between each crack detection area of the target building and the crack existence status of each suitable detection method.
[0037] For another example, the crack surface width of each crack detection area of the target building is multiplied by the crack surface length to obtain the crack area of each crack detection area of the target building, and the crack area is compared with the allowable crack area range of each suitable detection method. If the crack area of a crack detection area of the target building is within the allowable crack area range of a suitable detection method, the compliance value of the crack detection area and the crack area of the suitable detection method is recorded as E; otherwise, it is recorded as E', where E>E', and the compliance value of the crack detection area of the target building and the crack area of each suitable detection method is obtained.
[0038] For example, the water accumulation area of each crack detection area of the target building is compared with the allowable water accumulation area in the cracks of each suitable detection method. If the water accumulation area of a crack detection area is smaller than the allowable water accumulation area in the cracks of a suitable detection method, the compliance value of the crack detection area and the water accumulation area of the suitable detection method is recorded as F; otherwise, it is recorded as F', where F>F', and the compliance value of each crack detection area of the target building and the water accumulation area of each suitable detection method is obtained.
[0039] Through similar processing, the compliance values of each crack detection area of the target building with the mud area, crack depth and strike angle, and crack number of each suitable detection method are obtained.
[0040] In summary, the compliance values of each crack detection area of the target building and each indicator data of each suitable detection method are summarized and obtained.
[0041] In the S2 detection method screening, the present invention screens appropriate detection methods for each crack detection area of the target building based on preliminary captured images of each crack detection area of the target building in combination with structural information of each crack detection area of the target building, thereby avoiding blindness in the selection of detection methods for each crack area of the target building, improving the accuracy of crack detection of the target building, and laying a foundation for the analysis of subsequent maintenance methods.
[0042] S3 Concrete crack detection: Use appropriate detection methods for each crack detection area of the target building to perform crack detection, generate a crack detection report for each crack detection area of the target building, and generate a crack maintenance report for the target building.
[0043] It should be understood that the crack detection report includes the length, width and profile of each crack.
[0044] In a specific embodiment of the present invention, the specific analysis method for generating a crack maintenance report of a target building is as follows: extracting the length C of each crack based on the crack detection report of each crack detection area of the generated target building. mh , Width K mh and contours, and obtain the construction time SC of each crack detection area of the target building from the database m and load weight Z m , through the maintenance urgency assessment model
[0045] Output the maintenance urgency η of each crack detection area of the target building m , where J mh is the wave characteristic value of the hth crack in the mth crack detection area, SC and Z represent the initial construction time and initial load weight corresponding to the concrete cracks stored in the database, respectively. h is the number of each crack. h = 1, 2, ..., g, where g is any integer greater than 2, g is the number of cracks, and l is the number of crack detection areas.
[0046] It should be understood that the specific method for obtaining the wave characteristic values of each crack in each crack detection area is as follows: according to the contours of each crack in each crack detection area of the target building, the contour lines of each crack in each crack detection area of the target building are obtained, and then the turning points of the contour lines of each crack in each crack detection area of the target building are obtained, and they are used as the wave characteristic values of each crack in each crack detection area.
[0047] It also needs to be explained that if the concrete construction area is not maintained for a long time or the load weight exceeds the range, cracks are likely to appear in the concrete construction area. The initial construction time and initial load weight corresponding to the concrete cracks are set by professionals based on experience or the time and load weight when cracks first appeared in other buildings.
[0048] Evaluate the maintenance methods and cycles for each crack detection area of the target building.
[0049] Based on the maintenance urgency of each crack detection area of the target building and in combination with the maintenance urgency interval corresponding to each crack group label stored in the database, each crack detection area within each crack group label of the target building is screened.
[0050] It should be understood that the importance of the high-urgency crack group label is greater than the importance of the low-urgency crack group label, which is convenient for planning the order of subsequent staff to carry out emergency repairs. The high-urgency crack detection area should be repaired first, thereby reducing the continued extension of the high-urgency crack area and improving the safety of concrete buildings.
[0051] The maintenance method and maintenance cycle of each crack detection area in each crack group label of the target building are obtained, and a crack maintenance report of the target building is generated.
[0052] In a specific embodiment of the present invention, the maintenance method and maintenance cycle of each crack detection area of the target building are evaluated, and the specific evaluation method is: based on the length, width and fluctuation characteristic values of each crack in each crack detection area of the target building, they are respectively averaged to obtain the average length, average width and average fluctuation characteristic value of each crack in each crack detection area of the target building, and combined with the construction time and load weight of each crack detection area of the target building, the parameters of each indicator of each crack detection area of the target building are constructed.
[0053] The range of each demand indicator corresponding to each maintenance method is obtained from the database, and the parameters of each indicator of each crack detection area of the target building are compared with the range of each demand indicator corresponding to each maintenance method. If the parameters of each indicator of a crack detection area of the target building are all within the range of the demand indicator corresponding to a certain maintenance method, then the maintenance method is used as the maintenance method of the crack detection area, and the maintenance methods of each crack detection area of the target building are obtained.
[0054] It should be noted that the various maintenance methods include but are not limited to filling method, structural reinforcement method and concrete replacement method.
[0055] It should be noted again that each maintenance method corresponds to a range of demand indicators, wherein each demand indicator specifically refers to crack length, crack width, crack wave characteristic value, construction time and load weight. Different maintenance methods are applicable to different crack scenarios, which is reflected in different specific manifestations of cracks. They are specifically set by professionals and stored in the data.
[0056] The maintenance period corresponding to each maintenance method is obtained from the database, and the maintenance period of each crack detection area of the target building is screened.
[0057] The present invention detects each crack detection area of the target building in the S3 concrete crack detection, generates a crack detection report and a maintenance report, overcomes the deficiency of low attention to this aspect in the prior art, improves the accuracy of concrete crack treatment, ensures the maintenance effect of concrete cracks, and avoids resource waste to a certain extent.
[0058] S4 display processing: displaying the crack detection report of each crack detection area of the target building and the crack maintenance report of the target building.
[0059] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.
Claims
1. A method for detecting concrete cracks, characterized in that: include: S1 Concrete monitoring area screening: obtain the construction information of each construction area of the target building from the construction platform, and combine it with the meteorological information platform to obtain the meteorological information of the target building, and then screen the crack detection areas of the target building accordingly; The construction information includes raw material data, mix ratio data, and construction data, wherein the raw material data includes cement setting time and aggregate mud content, the mix ratio data includes water-cement ratio, silt usage, and pH value of concrete solution, the construction data includes the moving speed and insertion depth of the vibrator, formwork humidity, construction speed, and curing cycle, and the meteorological information includes temperature, humidity, and wind speed at each time point; The specific screening method for screening the crack detection areas of the target building is as follows: The temperature, humidity and wind speed at each time point are extracted from the meteorological information of the target building, and then the construction time period of each construction area of the target building is obtained from the building platform. The temperature, humidity and wind speed at each associated time point of each construction area of the target building are screened, and the first-level detection demand confidence of each construction area of the target building is obtained through data processing. Where i is the number of each construction area, i = 1, 2, ..., n, n is any integer greater than 2; Extract raw material data, ratio data and construction data from the construction information of each construction area of the target building, and obtain the secondary detection demand confidence of each construction area of the target building through data processing. Import the first-level detection demand confidence and second-level detection demand confidence of each construction area of the target building into the crack demand detection value assessment model where φ i is the crack detection demand value of the i-th construction area of the target building, They are respectively the preset first-level detection requirement confidence threshold and the second-level detection requirement confidence threshold, and ∨ represents the logical symbol or; When the crack demand detection value is 1, it means that crack detection is required, and when the crack demand detection value is -1, it means that crack detection is not required. Each construction area with a crack demand detection value of 1 is recorded as each crack detection area, and then each crack detection area of the target building is obtained; S2 Detection method screening: According to each crack detection area of the target building, use a drone to take preliminary photos of each crack detection area of the target building, obtain images of each crack detection area of the target building, and obtain structural information of each crack detection area of the target building, and then judge the appropriate detection method for each crack detection area of the target building; The specific judging method for judging the appropriate detection method for each crack detection area of the target building is as follows: Acquire structural feature values from structural information of each crack detection area of the target building, and screen appropriate detection methods for each crack detection area of the target building in combination with a set of suitable structural feature values for each detection method stored in a database, wherein the structural feature values are set by relevant professionals and specifically represent the importance of the crack detection area in the target building; Based on the obtained images of each crack detection area of the target building, the crack existence status, crack surface width, crack surface length, water accumulation area, mud area, crack depth and strike angle, and number of cracks in each crack detection area of the target building are obtained, wherein the crack existence status includes existence and non-existence; The crack depth strike angle is the angle between the crack fitting morphology straight line and the concrete surface characteristic straight line. The concrete surface characteristic straight line is specifically: randomly selecting a point on the concrete surface, and then randomly selecting another point along the upward or downward direction of the image to form a characteristic straight line on the concrete surface; Extract the appropriate crack quantity range, crack existence status, appropriate crack area range, allowable water accumulation area and mud area in the crack, and required crack depth angle range corresponding to each detection method from the database, evaluate the matching degree between each crack detection area of the target building and each appropriate detection method, and select the appropriate detection method for each crack detection area of the target building; S3 Concrete crack detection: Use appropriate detection methods for each crack detection area of the target building to perform crack detection, generate crack detection reports for each crack detection area of the target building, and generate crack maintenance reports for the target building; The specific analysis method for generating the crack maintenance report of the target building is as follows: Extract the length C of each crack based on the crack detection report of each crack detection area of the target building mh , Width K mh and contours, and obtain the construction time SC of each crack detection area of the target building from the database m and load weight Z m , through the maintenance urgency assessment model Output the maintenance urgency η of each crack detection area of the target building m , where J mh is the wave characteristic value of the hth crack in the mth crack detection area, SC and Z represent the initial construction time and initial load weight corresponding to the concrete cracks stored in the database, respectively. The initial construction time and initial load weight corresponding to the concrete cracks are set by professionals based on experience or the time and load weight when cracks first appeared in other buildings. h is the number of each crack, h=1,2,...,g, g is any integer greater than 2, g is the number of cracks, and l is the number of crack detection areas; The specific acquisition method of the wave feature value of each crack in each crack detection area is as follows: according to the contour of each crack in each crack detection area of the target building, the contour lines of each crack in each crack detection area of the target building are acquired, and then the turning points of the contour lines of each crack in each crack detection area of the target building are acquired, and the turning points are used as the wave feature value of each crack in each crack detection area; Evaluate the maintenance methods and maintenance cycles of each crack detection area of the target building; Based on the maintenance urgency of each crack detection area of the target building, combined with the maintenance urgency interval corresponding to each crack group label stored in the database, each crack detection area within each crack group label of the target building is screened; Obtain the maintenance method and maintenance cycle of each crack detection area in each crack group label of the target building, and generate a crack maintenance report for the target building; S4 display processing: displaying the crack detection report of each crack detection area of the target building and the crack maintenance report of the target building.
2. A concrete crack detection method according to claim 1, characterized in that: The confidence level of the first-level detection requirement for each construction area of the target building The specific analysis method is: According to the temperature, humidity and wind speed of each construction area of the target building at each associated time point, the temperature difference, humidity difference and wind speed difference of each construction area of the target building are obtained, and compared with the suitable construction temperature difference, suitable construction humidity difference and suitable construction wind speed difference stored in the database respectively. If there is at least one temperature difference greater than the suitable construction temperature difference, humidity difference greater than the suitable construction humidity difference or wind speed difference greater than or equal to the suitable construction wind speed difference in a construction area of the target building, the first-level detection requirement confidence of the construction area is recorded as A, otherwise, it is recorded as A', and the first-level detection requirement confidence of each construction area of the target building is obtained. in The value of is A or A'.
3. A concrete crack detection method according to claim 1, characterized in that: Secondary detection requirement confidence level for each construction area of the target building The specific analysis method is: Extract cement setting time and aggregate mud content from the raw material data of each construction area of the target building, extract water-cement ratio, silt usage, and pH value of concrete solution from the mix ratio data, and extract vibrator movement speed and insertion depth, formwork humidity, construction speed, and curing cycle from the construction data; Qualified raw material data, qualified mix ratio data and qualified construction data of construction are obtained from the database, and the cement setting time and aggregate mud content of each construction area of the target building are compared with the qualified cement setting time interval and the qualified aggregate mud content interval in the qualified raw material data of construction. If the cement setting time of a certain construction area is not within the qualified cement setting time interval or the aggregate mud content is not within the qualified mud content interval, the raw material risk coefficient of the construction area is recorded as U, otherwise, it is recorded as U', and the raw material risk coefficient ε of each construction area of the target building is obtained. i , where ε i The value of is U or U'; After similar processing, the ratio risk coefficient η of each construction area of the target building is obtained i and construction risk factor μ i If a construction area of the target building has at least one raw material risk factor greater than the preset raw material risk factor threshold, a ratio risk factor greater than the preset ratio risk factor threshold, or a construction risk factor greater than the preset construction risk factor threshold, then the secondary detection requirement confidence of the construction area is recorded as R, otherwise, it is recorded as R', and the secondary detection requirement confidence of each construction area of the target building is obtained. in The value is R or R'.
4. A concrete crack detection method according to claim 1, characterized in that: The specific analysis method of the appropriate detection methods for each crack detection area of the screening target building is as follows: The structural characteristic values of each crack detection area of the target building are compared with each element in the set of suitable structural characteristic values for each detection method. If the structural characteristic value of a crack detection area of the target building is the same as an element in the set of suitable structural characteristic values for a detection method, then the detection method is recorded as the suitable detection method for the crack detection area, and the suitable detection methods for each crack detection area of the target building are obtained.
5. A concrete crack detection method according to claim 1, characterized in that: The matching degree between each crack detection area of the target building and each suitable detection method is evaluated by the following specific evaluation method: Based on the appropriate crack quantity interval, crack existence status, appropriate crack area interval, allowable water accumulation area and mud area in the crack, and required crack depth angle interval corresponding to each detection method, the appropriate crack quantity interval, crack existence status, appropriate crack area, allowable water accumulation area and mud area in the crack, and required crack depth angle interval corresponding to each suitable detection method in each crack detection area of the target building are screened; After data processing, the corresponding values β of each crack detection area of the target building and each indicator data of each suitable detection method are obtained. mjp , and then evaluate the matching degree between each crack detection area of the target building and each suitable detection method where ζ mj is the matching degree between the mth crack detection area of the target building and the jth suitable detection method, m is the number of each crack detection area, m=1,2,...,l, l is any integer greater than 2, j is the number of each suitable detection method, j=1,2,...,k, k is any integer greater than 2, p is the number of each indicator data, p=1,2,...,q, q is any integer greater than 2; The specific evaluation method of the compliance value of each crack detection area of the target building and each indicator data of each suitable detection method is as follows: each indicator data includes crack existence status, crack area, water accumulation area, mud area, crack depth trend angle, and crack number. The crack existence status of each crack detection area of the target building is compared with the crack existence status of each suitable detection method. If the crack existence status of a crack detection area is the same as the crack existence status of a suitable detection method, the compliance value of the crack detection area and the crack existence status of the suitable detection method is recorded as IY, otherwise, it is recorded as IY', wherein IY>IY', and the compliance value of each crack detection area of the target building and the crack existence status of each suitable detection method is obtained; The crack surface width of each crack detection area of the target building is multiplied by the crack surface length to obtain the crack area of each crack detection area of the target building, and the crack area is compared with the crack area allowable range of each suitable detection method. If the crack area of a crack detection area of the target building is within the crack area allowable range of a suitable detection method, the compliance value of the crack detection area and the crack area of the suitable detection method is recorded as E, otherwise, it is recorded as E', where E>E', and the compliance value of the crack detection area of the target building and the crack area of each suitable detection method is obtained; Compare the water accumulation area of each crack detection area of the target building with the allowable water accumulation area in the cracks of each suitable detection method. If the water accumulation area of a crack detection area is smaller than the allowable water accumulation area in the cracks of a suitable detection method, the compliance value between the crack detection area and the water accumulation area of the suitable detection method is recorded as F. Otherwise, it is recorded as F', where F>F', and the compliance value between each crack detection area of the target building and the water accumulation area of each suitable detection method is obtained; Through similar processing, the compliance values of each crack detection area of the target building with the mud area, crack depth and strike angle, and crack number of each suitable detection method are obtained.
6. A concrete crack detection method according to claim 1, characterized in that: The maintenance method and maintenance cycle of each crack detection area of the evaluation target building are specifically evaluated as follows: Based on the length, width and wave characteristics of each crack in each crack detection area of the target building, the average values are processed respectively to obtain the average length, average width and average wave characteristics of each crack in each crack detection area of the target building. Combined with the construction time and load weight of each crack detection area of the target building, the parameters of each indicator of each crack detection area of the target building are constructed; Obtain the range of each demand index corresponding to each maintenance method from the database, and compare the parameters of each index of each crack detection area of the target building with the range of each demand index corresponding to each maintenance method one by one. If the parameters of each index of a crack detection area of the target building are all within the range of the demand index corresponding to a certain maintenance method, then the maintenance method is used as the maintenance method of the crack detection area, and the maintenance method of each crack detection area of the target building is obtained, wherein each demand index specifically refers to crack length, crack width, crack wave characteristic value, construction time and load weight; The maintenance period corresponding to each maintenance method is obtained from the database, and the maintenance period of each crack detection area of the target building is screened.