A method, device and equipment for detecting and analyzing the strength of concrete in construction engineering

Abstract

This application relates to the technical field of concrete rebound testing, and specifically relates to a method, device and equipment for detecting and analyzing the strength of concrete in construction projects. The method includes: using a rebound instrument and an ultrasonic sensor to obtain data at the test points; calculating the abnormal state value of each measurement point in the measurement area through the difference in the ultrasonic propagation rate at the measurement points; correcting the abnormal state value of the measurement area through the distribution of the ultrasonic propagation rate of the measurement points in the measurement area; calculating the concrete quality measurement factor by using the difference in the ultrasonic propagation rate between different measurement areas; correcting the rebound value of the measurement point through the concrete quality measurement factor, and then obtaining the rebound value of the concrete in the construction project, so as to obtain the strength test result of the concrete in the construction project. This application aims to solve the problem of inaccurate concrete strength detection due to the existence of cracks or cavities.

Description

Technical Field

[0001] This application relates to the technical field of concrete rebound detection, and specifically relates to a method, device and equipment for detecting and analyzing the strength of concrete in building engineering. Background Art

[0002] Concrete is a composite building material widely used in building engineering, which is made by mixing cement, fine aggregate (sand), coarse aggregate (crushed stone or broken brick) and water. The high compressive strength and good durability of concrete make it an ideal choice to support the safety and stability of buildings. Concrete strength detection is an essential quality control link in building engineering, which ensures that the manufacture and construction of concrete meet the requirements of design specifications and guarantees the safety and reliability of the structure.

[0003] In traditional technology, the strength of concrete in building engineering is generally detected by the rebound method. By using a rebound instrument, the strength of concrete at different positions can be measured quickly. However, due to insufficient vibration during the pouring process of building engineering concrete, defects such as cracks and cavities occur in the concrete, which makes it easy to cause poor accuracy in detecting the strength of concrete when using a rebound instrument to measure the strength of concrete. Summary of the Invention

[0004] In view of the above, it is necessary to provide a method, device and equipment for detecting and analyzing the strength of concrete in building engineering, so as to achieve efficient and accurate detection of the strength of concrete in building engineering. Compared with the existing technology of measuring the strength of concrete by the rebound method, it solves the problem of inaccurate detection of concrete strength due to the existence of cracks or cavities.

[0005] According to one aspect of the present application, a method for detecting and analyzing the strength of concrete in building engineering is provided, and the method includes:

[0006] For a preset measurement area of the concrete building engineering to be measured, obtain the rebound value and ultrasonic velocity data of each measurement point;

[0007] Based on the numerical change distribution of the ultrasonic velocity data of each measurement point in each measurement area with other measurement points, obtain the abnormal state value of each measurement point;

[0008] Classify the measurement points in each measurement area based on the ultrasonic velocity data, and combine the number of measurement points in different categories to determine whether to correct the abnormal state value of the measurement points in each measurement area;

[0009] According to the distribution difference of the ultrasonic velocity data of each measurement area and all measurement areas, and combine the corrected abnormal state values of each measurement point to obtain the concrete quality measurement factor of each measurement point in each measurement area;

[0010] Based on the concrete quality measurement factors of each measurement point in each measurement area, correct the rebound values of each measurement point;

[0011] According to the corrected rebound values, obtain the strength test results of the concrete construction project to be measured.

[0012] Among them, the specific method for obtaining the abnormal state values of each measurement point is as follows:

[0013] In each measurement area, calculate the average level of the difference in ultrasonic velocity data between any measurement point and other measurement points, and record it as the abnormal state value of the any measurement point.

[0014] Among them, the specific method for determining whether to correct the abnormal state values of the measurement points in each measurement area is as follows:

[0015] Classify the measurement points based on all ultrasonic velocity data within each measurement area, and record the category with the largest average ultrasonic velocity data as the high-rate category; the other category is recorded as the low-rate category;

[0016] According to the distribution difference of the ultrasonic velocity data of the high-rate category and the low-rate category in each measurement area, obtain the same-attribute resolution value of each measurement area;

[0017] When the same-attribute resolution value is greater than the preset resolution threshold, and at the same time the number of measurement points in the high-rate category is greater than the number of measurement points in the low-rate category, determine that the measurement area is abnormal and correct the abnormal state values of the measurement points; otherwise, determine that the measurement area is normal and do not correct the abnormal state values of the measurement points within the measurement area.

[0018] Among them, the specific method for obtaining the same-attribute resolution value of each measurement area is as follows:

[0019] Record the average levels of the ultrasonic velocity data of the measurement points in the high-rate category and the low-rate category as the first average velocity and the second average velocity respectively; calculate the difference between the first average velocity and the second average velocity, and divide it by the second average velocity to obtain the same-attribute resolution value of each measurement area.

[0020] Among them, after determining whether to correct the abnormal state values of the measurement points in each measurement area, it further includes: fusing the maximum abnormal state value, the minimum abnormal state value of the measurement area with the opposite numbers of the abnormal state values of each measurement point to obtain the corrected abnormal state values of each measurement point.

[0021] Among them, the method for obtaining the concrete quality measurement factors of each measurement point in each measurement area includes:

[0022] Calculate the average value of the ultrasonic propagation rates of all measurement points in each measurement area to obtain the average rate of each measurement area;

[0023] Take the average value of the average rates of all measurement areas except the measurement areas with the maximum and minimum average rates as the average concrete rate;

[0024] Based on the difference between the average rate of each measurement area and the average concrete rate, obtain the concrete rate difference value of each measurement area; when the absolute value of the concrete speed difference value is less than or equal to the preset difference threshold, the concrete quality measurement factor is the abnormal state value of the corresponding measurement point; otherwise, fuse the concrete speed difference value with the corrected abnormal state value of each measurement point in the corresponding measurement area to obtain the concrete quality measurement factor of the corresponding measurement point.

[0025] Among them, the correction of the rebound value of each measurement point is specifically as follows:

[0026] Calculate the fusion of the concrete quality measurement factor of each measurement point in each measurement area with the minimum value of the concrete quality assessment of all measurement areas to obtain the correction factor of each measurement point in each measurement area, and fuse the inverse proportional mapping result of the correction factor of each measurement point with the rebound value to obtain the rebound correction value of each measurement point in each measurement area.

[0027] Among them, obtaining the strength detection result of the concrete construction project to be measured is specifically as follows:

[0028] Take the average value of the rebound correction values of all measurement points in all measurement areas as the corrected rebound value of the concrete construction project to be detected, and obtain the change curve of the rebound value and the concrete strength; based on the position of the corrected rebound value in the change curve, obtain the strength detection result of the concrete construction project to be measured.

[0029] According to another aspect of the present application, there is provided a strength detection and analysis device for concrete in a construction project, including:

[0030] Concrete data measurement module: used to preset the measurement area of the concrete construction project to be measured, and obtain the rebound value and ultrasonic velocity data of each measurement point;

[0031] Concrete data correction module: used to obtain the abnormal state value of each measurement point based on the numerical change distribution of the ultrasonic velocity data of each measurement point in each measurement area and other measurement points; classify the measurement points in each measurement area based on the ultrasonic velocity data, and combine the number of measurement points in different categories to determine whether to correct the abnormal state value of the measurement points in each measurement area; according to the distribution difference of the ultrasonic velocity data between each measurement area and all measurement areas, and combine the corrected abnormal state values of each measurement point to obtain the concrete quality measurement factor of each measurement point in each measurement area; based on the concrete quality measurement factor of each measurement point in each measurement area, correct the rebound value of each measurement point;

[0032] Concrete strength detection module: used to obtain the strength detection result of the concrete construction project to be measured according to the corrected rebound value.

[0033] According to another aspect of the present invention, there is provided a strength detection and analysis device for concrete in a construction project, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the operations corresponding to the above-mentioned strength detection and analysis method for concrete in a construction project are implemented.

[0034] In the above solution, first, by combining the ultrasonic velocity data of the concrete, the characteristics of different propagation rates of ultrasonic waves in different media are analyzed to construct the abnormal state value of the measurement point. The beneficial effect is to measure the similarities and differences between the measurement points in the measurement area according to the velocity change of the ultrasonic wave; when cracks or cavities appear at each measurement point in the measurement area, the abnormal state value of the measurement area is corrected according to the distribution state of the ultrasonic wave propagation rate, further effectively distinguishing the normal measurement area from the measurement area with cracks and cavities; the concrete quality measurement factor is determined based on the difference between the ultrasonic wave propagation rates in different measurement areas to measure the degree of the characteristics of cracks and cavities at each test point; the rebound value obtained by the rebound instrument is corrected by using the concrete quality measurement factor, effectively avoiding the error in the measurement of the concrete strength caused by the existence of cracks or cavities inside the concrete, making the strength detection of the concrete in the construction project more accurate. Description of the Drawings

[0035] Figure 1 It is a step flowchart of a strength detection and analysis method for concrete in a construction project provided by an embodiment of the present application;

[0036] Figure 2 It is a schematic diagram of a measurement area and measurement points provided by an embodiment of the present application;

[0037] Figure 3 It is a flowchart for obtaining the rebound correction value provided by an embodiment of the present application. Detailed Embodiment

[0038] In the description of the embodiments of the present application, words such as "exemplary", "or", "for example", etc. are used to represent examples, illustrations, or explanations. Any embodiment or design solution described as "exemplary" or "for example" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Exactly speaking, using words such as "exemplary", "or", "for example", etc. aims to present relevant concepts in a specific way.

[0039] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains. The terms used in the specification of this application are for the purpose of describing specific embodiments only and are not intended to limit this application.

[0040] In addition, it should be noted that the terms "first" and "second" in this application and the accompanying drawings are used to distinguish similar objects and are not used to describe a specific order or sequence. For the methods disclosed in the embodiments of this application or shown in the flowcharts of the methods, including one or more steps for implementing the methods, without departing from the scope of this application, the execution order of multiple steps can be interchanged with each other, and some steps can also be deleted.

[0041] Please refer to Figure 1 , which shows a flowchart of the steps of a method for detecting and analyzing the strength of concrete in a construction project provided by an embodiment of this application. The method includes the following steps:

[0042] Step 1: Preset a measurement area for the concrete construction project to be measured, and obtain the rebound value and ultrasonic velocity data of each measurement point.

[0043] For the concrete of the construction project to be measured, mark a preset number of consecutive measurement areas, and evenly divide each measurement area into blocks. Take the center of each block as the measurement point of each measurement area.

[0044] In this embodiment, the preset number is 9; the measurement area is evenly divided into 4×4 blocks; the implementer can adjust it according to the actual situation, and this application does not limit it. Among them, the schematic diagrams of the measurement area and the measurement points are as shown in Figure 2 ; where a represents the measurement point and b represents the measurement area.

[0045] Align the rebound instrument with the measurement point in the measurement area, and keep the rebound instrument perpendicular to the surface of the concrete of the construction project. Obtain the rebound value a set number of times for each measurement point, and take the average level of all the rebound values measured at each measurement point as the rebound value of each measurement point.

[0046] In this embodiment, the set number is 10, and the implementer can adjust it by himself / herself, and this application does not limit it.

[0047] In this embodiment, the average level of a set of data refers to the average value of a set of data; in other embodiments, the average value can be replaced by the mode.

[0048] Obtain the ultrasonic velocity data of each measurement point in the measurement area through an ultrasonic sensor.

[0049] Based on this, obtain the rebound value and ultrasonic velocity data of each measurement point in each measurement area.

[0050] Step 2: Based on the numerical change distribution of the ultrasonic velocity data of each measurement point in each measurement area with respect to other measurement points, obtain the abnormal state value of each measurement point.

[0051] When there are cracks or cavities in concrete, a rebound hammer is used to detect the strength of the concrete. Since the cracks or cavities weaken the strength of the concrete, it is easy to have a situation where the strength of the concrete calculated from the rebound data of the rebound hammer is greater than the actual strength of the concrete. Therefore, it is necessary to correct the data of the rebound hammer by detecting the ultrasonic data of the concrete measurement points to improve the accuracy of the concrete strength detection in construction projects.

[0052] Since the propagation speed of ultrasonic waves in gas is faster than that in solids, when there are cracks or cavities in concrete, the ultrasonic wave rate detected by ultrasonic testing will increase. Therefore, within a normal concrete area, the ultrasonic wave rates are the same or close.

[0053] In each measurement area, calculate the average level of the difference in ultrasonic velocity data between any measurement point and other measurement points, and record it as the abnormal state value of the said any measurement point.

[0054] It should be noted that the difference can measure the numerical gap between variables. In this embodiment, the method of absolute value of the difference is used to measure the difference in ultrasonic velocity data between measurement points; in other embodiments, the ratio can be used to replace the absolute value of the difference; in some other embodiments, the absolute value of the difference in ultrasonic velocity data between any measurement point and other measurement points can be calculated, recorded as a, and exp(a) can be used as the difference in ultrasonic velocity data between measurement points.

[0055] In this embodiment, the average value of the difference in ultrasonic velocity data between any measurement point and other measurement points is used as the abnormal state value of the said any measurement point.

[0056] It should be understood that when there is a crack or cavity at a certain measurement point in the measurement area, the ultrasonic wave propagation rate of this measurement point will increase, and there is an obvious difference in the ultrasonic wave propagation rate from other measurement points in the same measurement area. Therefore, when the measurement point is an abnormal state point, the value of the difference in the ultrasonic wave propagation rate between this measurement point and other measurement points in its measurement area increases, thereby increasing the abnormal state value of this measurement point.

[0057] Step 3: Classify the measurement points in each measurement area based on the ultrasonic velocity data, and combine the number of measurement points in different categories to determine whether to correct the abnormal state values of the measurement points in each measurement area.

[0058] When the number of measurement points with cracks or voids in the measurement area is more than that of normal measurement points, the abnormal state value of the measurement points with cracks or voids in the measurement area will decrease. In order to make the abnormal state value of the measurement points with cracks or voids larger, it is necessary to correct the abnormal state value of the concrete.

[0059] Based on all ultrasonic velocity data in each measurement area, the measurement points are classified. The category with the largest mean value of ultrasonic velocity data is recorded as the high-rate category; the other category is recorded as the low-rate category. The average levels of the ultrasonic velocity data of the measurement points in the high-rate category and the low-rate category are respectively recorded as the first average velocity and the second average velocity; the difference between the first average velocity and the second average velocity is calculated and divided by the second average velocity to obtain the same-attribute resolution value of each measurement area.

[0060] In this embodiment, all ultrasonic velocity data of the concrete measurement points in the measurement area are used as the input of the OTSU method, and the segmentation threshold is output. All ultrasonic propagation rates of the concrete measurement points are segmented into two categories using the segmentation threshold. Those greater than the segmentation threshold are recorded as the high-rate category, and those less than or equal to the segmentation threshold are recorded as the low-rate category. Among them, the OTSU method is a well-known technology, and the specific calculation process will not be elaborated here; in other embodiments, based on the ultrasonic velocity data of all measurement points in the measurement area, the K-means algorithm is used to cluster the measurement points to complete the classification of the measurement points in each measurement area. The category with the largest mean value of ultrasonic velocity data is recorded as the high-rate category; the other category is recorded as the low-rate category. Among them, the OTSU threshold method and the K-means clustering algorithm are both well-known technologies. Implementers can use other threshold segmentation algorithms and clustering algorithms to classify the measurement points in the measurement area, and this application does not limit this.

[0061] Furthermore, the mean values of the ultrasonic velocity data of all test points in the two categories of each measurement area are calculated respectively, and are recorded as the first average velocity and the second average velocity. Then, the difference between the first average velocity and the second average velocity is calculated, and the ratio of the difference to the second average velocity is used as the same-attribute resolution value of each measurement area.

[0062] Based on the same-attribute resolution value of each measurement area and the number of measurement points in different categories, it is judged whether to correct the abnormal state value of the measurement points in each measurement area:

[0063] When the same-attribute discrimination value is greater than the preset discrimination threshold, and at the same time the number of measurement points in the high-speed rate category is greater than the number of measurement points in the low-speed rate category, it is determined that the measurement area is abnormal, and the abnormal state values of the measurement points need to be corrected; the maximum value of the abnormal state value of the measurement area, the minimum value of the abnormal state value, and the opposite numbers of the abnormal state values of each measurement point are fused to obtain the corrected abnormal state values of each measurement point; otherwise, it is determined that the measurement area is normal, and the abnormal state values of the measurement points in the measurement area are not corrected.

[0064] In this embodiment, the preset segmentation threshold is 0.01, and the implementer can adjust the size of the segmentation threshold according to the actual situation; the corrected abnormal state value Ha j,i of the i-th measurement point in the j-th measurement area is calculated by the following formula: Ha j,i = max(Hac j ) - Hac j,i + min(Hac j ), where Hac j represents the set of all abnormal state values in the j-th measurement area; Hac j,i represents the abnormal state value of the i-th measurement point in the j-th measurement area; max() and min() represent the maximum value function and the minimum value function respectively.

[0065] It should be understood that when the number of measurement points with abnormal states in the measurement area is more than the number of measurement points with normal states, the abnormal state values of the measurement points with normal states are relatively large, while the abnormal state values of the measurement points with abnormal states are relatively small. Therefore, the abnormal state values of the measurement points in the measurement area are corrected to make the abnormal state values of the measurement points with normal states smaller and the abnormal state values of the measurement points with abnormal states larger. The abnormal state specifically refers to the measurement points with cracks or cavities.

[0066] Step 4: According to the distribution differences of the ultrasonic velocity data of each measurement area and all measurement areas, combined with the corrected abnormal state values of each measurement point, obtain the concrete quality measurement factors of each measurement point in each measurement area.

[0067] Based on the same-attribute discrimination value and the number of measurement points in different categories, only the overall distribution of the abnormal state values of the measurement area can be judged. Whether there is an abnormality in the concrete of the measurement area or not, as long as there are crack or cavity characteristics in these measurement areas, or the abnormal state values in the normal measurement areas are similar, the abnormal measurement areas cannot be distinguished. Therefore, it is necessary to further analyze the measurement points in different measurement areas:

[0068] Calculate the average value of the ultrasonic propagation rates of all measurement points in each measurement area to obtain the average rate of each measurement area; calculate the average value of the average rates of all measurement areas except the measurement areas with the maximum and minimum average rates to obtain the average concrete rate.

[0069] Based on the difference between the average rate of each measurement area and the average value of the concrete rate, the concrete rate difference value of each measurement area is obtained; when the absolute value of the concrete speed difference value is less than or equal to the preset difference threshold, the concrete quality measurement factor is the abnormal state value of the corresponding measurement point; otherwise, the concrete speed difference value is fused with the corrected abnormal state value of each measurement point in the corresponding measurement area to obtain the concrete quality measurement factor of the corresponding measurement point.

[0070] In this embodiment, the formula form of the concrete quality measurement factor of the i-th measurement point in the j-th measurement area is: Where represents the concrete quality measurement factor of the i-th measurement point in the j-th measurement area; represents the abnormal state value of the i-th measurement point in the j-th measurement area; Mv j represents the average rate of the j-th measurement area; Cv represents the average value of the concrete rate; T represents the preset difference threshold, which takes the value of 0.01 in this embodiment; the implementer can adjust it according to the actual situation; represents the concrete speed difference value of the j-th measurement area.

[0071] It should be understood that when the average rates of all measurement areas fluctuate within a very small range, it indicates that the concrete states of all measurement areas are normal, and the abnormal state values of the measurement points within the measurement area do not need to be corrected. On the contrary, if there are measurement areas that exceed the normal fluctuation range, it indicates that there are large property differences between the measurement points within the measurement area and the other measurement points, and it is necessary to correct the data through the ultrasonic propagation rate of the measurement points.

[0072] Step Five: Based on the concrete quality measurement factors of each measurement point in each measurement area, correct the rebound values of each measurement point.

[0073] The smaller the concrete quality measurement factor, the greater the possibility of cracks and cavities in the measurement area, and the more accurate the rebound value of the concrete measured by the rebound instrument at the measurement point; on the contrary, the larger the concrete quality measurement factor, the less accurate the rebound value of the concrete measured by the rebound instrument at the measurement point. Therefore, the rebound value of the rebound instrument is corrected by the concrete quality measurement factor:

[0074] Calculate the fusion of the concrete quality measurement factors of each measurement point in each measurement area with the minimum value of the concrete quality assessment of all measurement areas to obtain the correction factor of each measurement point in each measurement area, and fuse the inverse proportional mapping result of the correction factor of each measurement point with the rebound value to obtain the rebound correction value of each measurement point in each measurement area.

[0075] In this embodiment, the formula for the rebound correction value is: In the formula, represents the rebound correction value of the i-th measurement point in the j-th measurement area; represents the rebound value of the i-th measurement point in the j-th measurement area; represents the concrete quality measurement factor of the i-th measurement point in the j-th measurement area; H represents the set composed of the concrete quality measurement factors of all measurement points; min() represents the minimum value function; exp() represents the exponential function with the natural constant as the base.

[0076] It should be understood that the smaller the concrete quality measurement factor of the measurement point, the more accurate the rebound value of the concrete measured at the measurement point, and the smaller the influence degree on the correction of the rebound value.

[0077] Among them, the flow chart for obtaining the rebound correction value is as Figure 3 shown.

[0078] Step Six: Obtain the strength detection result of the concrete construction project to be measured according to the corrected rebound value.

[0079] In this embodiment, the average value of the rebound correction values of all measurement points in all measurement areas is obtained, and the average value is used as the corrected rebound value of the concrete of the construction project. According to the historical data, the corresponding relationship between the rebound value and the concrete strength is obtained, and the change curve of the concrete strength is drawn. The concrete strength corresponding to the corrected rebound value on the concrete strength change curve is used as the strength detection result of the concrete construction project to be measured, where the corresponding relationship between the rebound value and the concrete strength is prior knowledge.

[0080] Based on the same concept as the method embodiment of the present application, a strength detection and analysis device for concrete in a construction project is proposed, including:

[0081] Concrete data measurement module: used to preset a measurement area for the concrete construction project to be measured, and obtain the rebound value and ultrasonic velocity data of each measurement point;

[0082] Concrete data correction module: used to obtain the abnormal state value of each measurement point based on the numerical change distribution of the ultrasonic velocity data of each measurement point in each measurement area and other measurement points; classify the measurement points in each measurement area based on the ultrasonic velocity data, and combine the number of measurement points in different categories to judge whether to correct the abnormal state value of the measurement points in each measurement area; according to the distribution difference of the ultrasonic velocity data between each measurement area and all measurement areas, and combine the corrected abnormal state values of each measurement point, obtain the concrete quality measurement factor of each measurement point in each measurement area; based on the concrete quality measurement factor of each measurement point in each measurement area, correct the rebound value of each measurement point;

[0083] Concrete strength detection module: used to obtain the strength detection result of the concrete construction project to be measured according to the corrected rebound value.

[0084] Based on the same concept as the method embodiment of the present application, a strength detection and analysis device for concrete in a construction project is proposed, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the operations corresponding to the above-mentioned strength detection and analysis method for concrete in a construction project are implemented.

[0085] In summary, first, by combining the ultrasonic velocity data of concrete, the characteristics of different propagation rates of ultrasonic waves in different media are analyzed to construct the abnormal state value of the measurement point. The beneficial effect is to measure the similarities and differences between the measurement points in the measurement area according to the velocity change of ultrasonic waves; when cracks or cavities appear at each measurement point in the measurement area, the abnormal state value of the measurement area is corrected according to the distribution state of the ultrasonic propagation rate, further effectively distinguishing the normal measurement area from the measurement area with cracks and cavities; the concrete quality measurement factor is determined by the difference between the ultrasonic propagation rates in different measurement areas to measure the degree of the characteristics of cracks and cavities at each test point; the rebound value obtained by the rebound instrument is corrected by using the concrete quality measurement factor, effectively avoiding the error of concrete strength measurement caused by the existence of cracks or cavities inside the concrete, and making the strength detection of concrete in the construction project more accurate.

[0086] It should be noted that the flowcharts and block diagrams in the accompanying drawings show the possible architectures, functions, and operations of the systems, methods, and computer program products according to the embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, and the module, program segment, or part of code contains one or more executable instructions for implementing the specified logical function. In some alternative implementations, the functions marked in the block may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, which may depend on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than disclosed in the description. Sometimes, there is no specific order between different operations or steps. For example, two consecutive operations or steps may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, which may depend on the functions involved. Each block in the block diagram and / or flowchart, and the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0087] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the various embodiments of the present application, and should all be included within the protection scope of the present application.

Claims

1. A strength detection and analysis method for construction engineering concrete, characterized in that: The method comprises the following steps: Preset the measurement area of ​​the concrete construction project to be measured and obtain the rebound value and ultrasonic velocity data of each measurement point; Based on the numerical change distribution of ultrasonic velocity data of each measuring point in each measuring area and other measuring points, the abnormal state value of each measuring point is obtained; Based on the ultrasonic velocity data, the measurement points in each measurement area are classified, and combined with the number of measurement points in different categories, it is determined whether to correct the abnormal state value of the measurement point in each measurement area; According to the distribution difference of ultrasonic velocity data of each measurement area and all measurement areas, combined with the corrected abnormal state value of each measurement point, the concrete quality measurement factor of each measurement point in each measurement area is obtained; Based on the concrete quality measurement factor of each measuring point in each measuring area, the rebound value of each measuring point is corrected; According to the corrected rebound value, the strength test result of the concrete construction project to be measured is obtained; The concrete quality measurement factor of each measuring point in each measuring area is obtained, including: Calculate the average ultrasonic propagation velocity of all measurement points in each measurement area to obtain the average velocity of each measurement area; The average of the average rates of all measurement areas except the measurement areas with the maximum and minimum average rates is taken as the mean concrete rate; Based on the difference between the average rate of each measurement area and the mean concrete rate, the concrete rate difference value of each measurement area is obtained; when the absolute value of the concrete rate difference value is less than or equal to the preset difference threshold, the concrete quality measurement factor is the abnormal state value of the corresponding measurement point; otherwise, the concrete rate difference value is merged with the corrected abnormal state value of each measurement point in the corresponding measurement area to obtain the concrete quality measurement factor of the corresponding measurement point, and the expression is: ;in, represents the concrete quality measurement factor of the i-th measuring point in the j-th measuring area; Indicates the abnormal state value of the i-th measurement point in the j-th measurement area; represents the average rate of the jth measurement area; represents the mean value of concrete rate; T represents the preset difference threshold; The rebound value of each measuring point is corrected as follows: The concrete quality measurement factor of each measuring point in each measuring area is integrated with the minimum value of concrete quality assessment of all measuring areas to obtain the correction factor of each measuring point in each measuring area. The inverse proportional mapping result of the correction factor of each measuring point is integrated with the rebound value to obtain the rebound correction value of each measuring point in each measuring area. The expression is: , where represents the rebound correction value of the i-th measuring point in the j-th measuring area; represents the rebound value of the i-th measuring point in the j-th measuring area; Represents the set of concrete quality measurement factors at all measurement points; represents the minimum function; Represents an exponential function with a natural constant as base.

2. A strength detection and analysis method for construction engineering concrete as claimed in claim 1, characterized in that: The abnormal state value of each measuring point is obtained as follows: In each measurement area, an average level of the difference in ultrasonic velocity data between any measurement point and other measurement points is calculated and recorded as the abnormal state value of the any measurement point.

3. A strength detection and analysis method for construction engineering concrete according to claim 1, characterized in that: The determination of whether to correct the abnormal state value of the measuring point in each measuring area is specifically as follows: Based on all ultrasonic velocity data in each measurement area, the measurement points are classified, and the category with the largest mean ultrasonic velocity data is recorded as the high-speed category; the other category is recorded as the low-speed category; According to the distribution difference of ultrasonic velocity data of high-speed category and low-speed category in each measurement area, the same attribute resolution value of each measurement area is obtained; When the same attribute resolution value is greater than the preset resolution threshold, and the number of measurement points in the high-rate class is greater than the number of measurement points in the low-rate class, the measurement area is judged to be abnormal, and the abnormal state values ​​of the measurement points are corrected; otherwise, the measurement area is judged to be normal, and the abnormal state values ​​of the measurement points in the measurement area are not corrected.

4. A strength detection and analysis method for construction engineering concrete as claimed in claim 3, characterized in that: The method of obtaining the same attribute resolution value of each measurement area is specifically as follows: The average levels of ultrasonic velocity data of the measuring points in the high-speed category and the low-speed category are recorded as the first average velocity and the second average velocity, respectively. The difference between the first average velocity and the second average velocity is calculated and divided by the second average velocity to obtain the same attribute resolution value of each measuring area.

5. A strength detection and analysis method for construction engineering concrete as claimed in claim 3, characterized in that: After determining whether to correct the abnormal state value of the measuring point in each measuring area, the method further includes: fusing the maximum value of the abnormal state value of the measuring area, the minimum value of the abnormal state value and the opposite number of the abnormal state value of each measuring point to obtain the corrected abnormal state value of each measuring point.

6. A strength detection and analysis method for construction engineering concrete according to claim 1, characterized in that: The strength test result of the concrete construction project to be measured is obtained as follows: The average of the rebound correction values ​​of all measuring points in all measuring areas is used as the corrected rebound value of the concrete construction project to be tested, and a change curve of the rebound value and concrete strength is obtained; according to the position of the corrected rebound value in the change curve, the strength test result of the concrete construction project to be measured is obtained.

7. A strength detection and analysis device for concrete in construction projects, which implements the method as claimed in claim 1, characterized in that: The equipment includes: Concrete data measurement module: used to preset the measurement area of ​​the concrete construction project to be measured, and obtain the rebound value and ultrasonic velocity data of each measurement point; Concrete data correction module: used to obtain the abnormal state value of each measuring point based on the numerical change distribution of ultrasonic velocity data of each measuring point in each measuring area and other measuring points; classify the measuring points in each measuring area based on the ultrasonic velocity data, and determine whether to correct the abnormal state value of the measuring points in each measuring area in combination with the number of measuring points in different categories; obtain the concrete quality measurement factor of each measuring point in each measuring area based on the distribution difference of ultrasonic velocity data of each measuring area and all measuring areas, combined with the corrected abnormal state value of each measuring point; correct the rebound value of each measuring point based on the concrete quality measurement factor of each measuring point in each measuring area; Concrete strength detection module: used to obtain the strength detection result of the concrete construction project to be measured according to the corrected rebound value.

8. A strength detection and analysis device for concrete in construction engineering, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, operations corresponding to the method for detecting and analyzing the strength of concrete in a construction project according to any one of claims 1 to 6 are implemented.

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