Method, device and equipment for detecting and analyzing strength of constructional engineering concrete

Abstract

The invention relates to the technical field of concrete rebound detection, in particular to a strength detection analysis method, device and equipment for constructional engineering concrete.The method comprises the steps that data of a test point is obtained through a rebound apparatus and an ultrasonic sensor; the abnormal state value of each measurement point in the measurement area is calculated according to the difference of the ultrasonic propagation rates of the measurement points; correcting the abnormal state value of the measurement area according to the distribution of the ultrasonic propagation rate of the measurement points in the measurement area; calculating a concrete quality measurement factor by using the difference of the ultrasonic propagation rates in different measurement areas; the rebound value of the measuring point is corrected through the concrete quality measurement factor, then the rebound value of the constructional engineering concrete is obtained, and the strength detection result of the constructional engineering concrete is obtained. The invention aims to solve the problem of inaccurate concrete strength detection caused by cracks or cavities.

Description

Technical Field

[0001] The present application relates to the technical field of concrete rebound detection, and specifically to a strength detection and analysis method, device and equipment for construction engineering concrete. Background Art

[0002] Concrete is a composite building material widely used in construction projects. It is a mixture of cement, fine aggregate (sand), coarse aggregate (crushed stone or broken bricks) and water. Concrete's high compressive strength and good durability make it an ideal choice for supporting the safety and stability of buildings. Concrete strength testing is an indispensable quality control link in construction projects. It ensures that the manufacture and construction of concrete meet the design specifications and ensures the safety and reliability of the structure.

[0003] In traditional technology, the strength test of construction engineering concrete is generally carried out by rebound method. The use of rebound hammer can quickly measure the strength of concrete at different positions, but due to insufficient vibration of construction engineering concrete during pouring, cracks, voids and other defects may appear in the concrete, which makes it easy to cause poor accuracy of concrete strength test when using rebound hammer to measure the strength of concrete. Summary of the invention

[0004] In view of the above, it is necessary to provide a strength detection and analysis method, device and equipment for construction engineering concrete, so as to realize efficient and accurate detection of the strength of construction engineering concrete, and solve the problem of inaccurate concrete strength detection due to the presence of cracks or voids compared with the existing technology of measuring concrete strength by rebound method.

[0005] According to one aspect of the present application, a strength detection and analysis method for construction engineering concrete is provided, the method comprising:

[0006] 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;

[0007] 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;

[0008] 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;

[0009] 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;

[0010] Based on the concrete quality measurement factor of each measuring point in each measuring area, the rebound value of each measuring point is corrected;

[0011] According to the corrected rebound value, the strength test result of the concrete construction project to be measured is obtained.

[0012] The abnormal state value of each measuring point is obtained as follows:

[0013] 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.

[0014] The determination of whether to correct the abnormal state value of the measuring point in each measuring area is specifically as follows:

[0015] 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;

[0016] 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;

[0017] 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.

[0018] The obtaining of the same attribute resolution value of each measurement area is specifically as follows:

[0019] 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.

[0020] Among them, after determining whether to correct the abnormal state value of the measuring point in each measuring area, it also 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.

[0021] The step of obtaining the concrete quality measurement factor of each measuring point in each measuring area includes:

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

[0023] 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;

[0024] Based on the difference between the average rate of each measurement area and the mean value of the 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.

[0025] The correction of the rebound value of each measuring point is specifically as follows:

[0026] The concrete quality measurement factor of each measuring point in each measuring area is calculated and merged 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 merged with the rebound value to obtain the rebound correction value of each measuring point in each measuring area.

[0027] The strength test result of the concrete construction project to be measured is obtained as follows:

[0028] 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.

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

[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 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;

[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 construction engineering concrete, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements operations corresponding to the above-mentioned strength detection and analysis method for construction engineering concrete when executing the computer program.

[0034] In the above scheme, firstly, 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 measuring point. The beneficial effect is that according to the change of ultrasonic velocity, the similarities and differences between the measuring points in the measuring area are measured; when cracks or voids appear at each measuring point in the measuring area, the abnormal state value of the measuring area is corrected according to the distribution state of the ultrasonic propagation velocity, so as to further effectively distinguish the normal measuring area from the measuring area with cracks and voids; the concrete quality measurement factor is determined by the difference between the ultrasonic propagation velocities in different measuring areas, and the degree of cracks and voids at each test point is measured; the rebound value obtained by the rebound hammer is corrected by using the concrete quality measurement factor, so as to effectively avoid the error in concrete strength measurement caused by cracks or voids inside the concrete, so as to make the strength detection of concrete in construction projects more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 A flowchart of a method for detecting and analyzing the strength of concrete in a construction project provided by an embodiment of the present application;

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

[0037] Figure 3 A flowchart for obtaining a rebound correction value provided in one embodiment of the present application. DETAILED DESCRIPTION

[0038] In the description of the embodiments of the present application, words such as "exemplary", "or", "for example" and the like are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "or", "for example" and the like is intended to present related concepts in a concrete manner.

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

[0040] It should also be noted that the terms "first" and "second" in this application and the accompanying drawings are used to distinguish similar objects, rather than to describe a specific order or sequence. The method disclosed in the embodiments of the present application or the method shown in the flowchart includes one or more steps for implementing the method. Without departing from the scope of the present application, the execution order of multiple steps can be interchanged with each other, and some steps can also be deleted.

[0041] See also Figure 1 , which shows a flow chart of the steps of a strength detection and analysis method for construction engineering concrete provided by an embodiment of the present application, the method comprising the following steps:

[0042] Step 1: 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.

[0043] For the construction engineering concrete to be measured, a preset number of continuous measurement areas are marked, and each measurement area is evenly divided into blocks, and the center of each block is used 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 this. Figure 2 As shown; where a represents the measuring point and b represents the measuring area.

[0045] Aim the rebound hammer at the measuring point in the measuring area, with the rebound hammer perpendicular to the concrete surface of the construction project. Obtain a set number of rebound values ​​for each measuring point, and take the average level of all rebound values ​​measured at each measuring point as the rebound value of each measuring point.

[0046] In this embodiment, the set number is set to 10, which can be adjusted by the implementer and is not limited in this application.

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

[0048] The ultrasonic sensor is used to obtain ultrasonic velocity data at each measuring point in the measuring area.

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

[0050] Step 2: Based on the numerical change distribution of the ultrasonic velocity data of each measuring point and other measuring points in each measuring area, the abnormal state value of each measuring point is obtained.

[0051] If there are cracks or voids in the concrete, a rebound hammer is used to test the strength of the concrete. Since the cracks or voids weaken the strength of the concrete, it is easy for the concrete strength calculated by the rebound data of the rebound hammer to be 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 measuring point to improve the accuracy of concrete strength detection in construction projects.

[0052] Since the propagation speed of ultrasound in gas is faster than that in solid, when cracks or voids appear in concrete, the ultrasonic velocity of the concrete detected by ultrasonic testing will increase. Therefore, in normal concrete areas, the ultrasonic velocity is the same or close.

[0053] 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.

[0054] It should be noted that the difference can measure the numerical gap between variables. This embodiment uses the absolute value of the difference method to measure the difference in ultrasonic velocity data between measurement points; other embodiments can replace the absolute value of the difference with a ratio; 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, denoted as a, and exp(a) is used as the difference in ultrasonic velocity data between the 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 taken as the abnormal state value of the any measurement point.

[0056] It should be understood that when there is a crack or a cavity at a certain measuring point in the measuring area, the ultrasonic propagation velocity of the measuring point will increase, and there will be a significant difference between the ultrasonic propagation velocity at the measuring point and the other measuring points. Therefore, when the measuring point is an abnormal state point, the difference in ultrasonic propagation velocity between the measuring point and other measuring points in the measuring area will increase, thereby increasing the abnormal state value of the measuring point.

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

[0058] When there are more measurement points with cracks or voids in the measurement area than normal measurement points, the abnormal state values ​​of the measurement points with cracks or voids in the measurement area will decrease. In order to make the abnormal state values ​​of the measurement points with cracks or voids larger, the abnormal state values ​​of the concrete need to be corrected.

[0059] Based on all ultrasonic velocity data in each measurement area, the measurement points are classified, and the category with the largest ultrasonic velocity data mean is recorded as the high-speed category; the other category is recorded as the low-speed category. The average levels of ultrasonic velocity data of the measurement 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 measurement area.

[0060] In this embodiment, the ultrasonic velocity data of all concrete measurement points in the measurement area are used as the input of the OTSU Otsu method, and the segmentation threshold is output. The ultrasonic propagation rate of all concrete measurement points is divided into two categories using the segmentation threshold, and those greater than the segmentation threshold are recorded as high-rate categories, and those less than or equal to the segmentation threshold are recorded as low-rate categories. The OTSU Otsu method is a well-known technology, and the specific calculation process is not repeated here; in other embodiments, the K-means algorithm is used to cluster the measurement points based on the ultrasonic velocity data of all measurement points in the measurement area, and the classification of the measurement points in each measurement area is completed, and the category with the largest mean value of the ultrasonic velocity data is recorded as the high-rate category; the other category is recorded as the low-rate category. The OTSU Otsu threshold method and the K-means clustering algorithm are both well-known technologies, and 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 average values ​​of the ultrasonic velocity data of all test points in the two classes of each measurement area are calculated, and recorded as the first average velocity and the second average velocity, respectively. 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 of different categories, determine whether to correct the abnormal state value of the measurement point in each measurement area:

[0063] 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 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 number of the abnormal state value of each measurement point are merged to obtain the corrected abnormal state value of each measurement point; 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.

[0064] In this embodiment, the preset segmentation threshold is 0.01, and the implementer can adjust the segmentation threshold according to the actual situation; the corrected abnormal state value Ha of the i-th measurement point in the j-th measurement area j,i The formula is: 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 jth measurement area; Hac j,i It represents the abnormal state value of the ith measurement point in the jth measurement area; max() and min() represent the maximum value function and the minimum value function respectively.

[0065] It should be understood that when there are more measurement points in abnormal state than measurement points in normal state in the measurement area, the abnormal state value of the measurement point in normal state is larger, while the abnormal state value of the measurement point in abnormal state is smaller, so the abnormal state value of the measurement point in the measurement area is corrected so that the abnormal state value of the measurement point in normal state is smaller, while the abnormal state value of the measurement point in abnormal state is larger. The abnormal state is specifically a measurement point with cracks or voids.

[0066] Step 4: Based on the distribution difference of ultrasonic velocity data between 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.

[0067] Based on the same attribute resolution value and the number of measurement points of different categories, we can only judge the overall distribution of abnormal state values ​​in the measurement area. Regardless of whether there is an abnormality in the concrete of the measurement area, as long as there are cracks or voids in these measurement areas, or the abnormal state values ​​of normal measurement areas are similar, it is impossible to distinguish the abnormality of the measurement area. Therefore, it is necessary to further analyze the measurement points of different measurement areas:

[0068] The average ultrasonic propagation velocity of all measuring points in each measuring area is calculated to obtain the average velocity of each measuring area; the average velocity of all measuring areas except the measuring areas with the maximum and minimum average velocities is calculated to obtain the mean concrete velocity.

[0069] Based on the difference between the average rate of each measurement area and the mean value of the 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.

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

[0071] It should be understood that when the average rate of all measurement areas fluctuates within a very small range, it means that the concrete state of all measurement areas is normal, and there is no need to correct the abnormal state values ​​of the measurement points in the measurement area. On the contrary, there are measurement areas that exceed the normal fluctuation range, which means that there are large property differences between the measurement points in the measurement area and the other measurement points, and the data needs to be corrected by the ultrasonic propagation rate of the measurement points.

[0072] Step 5: Based on the concrete quality measurement factor of each measuring point in each measuring area, the rebound value of each measuring point is corrected.

[0073] When the concrete quality measurement factor is smaller, it means that the possibility of cracks and voids in the measurement area is greater, and the rebound value of the concrete measured by the rebound hammer at the measurement point is more accurate; conversely, the larger the concrete quality measurement factor is, the less accurate the rebound value of the concrete measured by the rebound hammer at the measurement point is. Therefore, the rebound value of the rebound hammer is corrected by the concrete quality measurement factor:

[0074] The concrete quality measurement factor of each measuring point in each measuring area is calculated and merged 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 merged with the rebound value to obtain the rebound correction value of each measuring point in each measuring 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 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 concrete quality measurement factor of the ith measuring point in the jth measuring area; H represents the set of concrete quality measurement factors of all measuring points; min() represents the minimum function; exp() represents the exponential function with a natural constant as the base.

[0076] It should be understood that, when the concrete quality measurement factor of the measuring point is smaller, it means that the concrete rebound value measured at the measuring point is more accurate, and the correction effect on the rebound value is smaller.

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

[0078] Step 6: According to the corrected rebound value, the strength test result of the concrete construction project to be measured is obtained.

[0079] In this embodiment, the rebound correction values ​​of all measuring points in all measuring areas are averaged, and the average is used as the corrected rebound value of the concrete of the construction project. The corresponding relationship between the rebound value and the concrete strength is obtained based on historical data, and a concrete strength change curve is drawn. The concrete strength corresponding to the corrected rebound value in the concrete strength change curve is used as the strength test result of the concrete construction project to be measured, wherein the corresponding relationship between the rebound value and the concrete strength is a priori knowledge.

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

[0081] 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;

[0082] 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;

[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 construction engineering concrete 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, it implements the operations corresponding to the above-mentioned strength detection and analysis method for construction engineering concrete.

[0085] In summary, firstly, by combining the ultrasonic velocity data of concrete, the characteristics of the different propagation rates of ultrasonic waves in different media are analyzed, and the abnormal state value of the measuring point is constructed. The beneficial effect is that according to the change of ultrasonic velocity, the similarities and differences between the measuring points in the measuring area are measured; when cracks or voids appear at each measuring point in the measuring area, the abnormal state value of the measuring area is corrected according to the distribution state of the ultrasonic propagation velocity, and the normal measuring area and the measuring area with cracks and voids are further effectively distinguished; the concrete quality measurement factor is determined by the difference between the ultrasonic propagation velocities in different measuring areas, and the degree of cracks and voids at each test point is measured; the rebound value obtained by the rebound hammer is corrected by using the concrete quality measurement factor, which effectively avoids the error in concrete strength measurement caused by cracks or voids inside the concrete, making the strength detection of concrete in construction projects more accurate.

[0086] It should be noted that the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the system, method and computer program product according to the embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. In the description corresponding to the flowchart and block diagram in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in an order different from that disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified functions or actions, or may 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 aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application, and should all be included in 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.

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 as claimed in 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 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 value of the 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.

7. A strength detection and analysis method for construction engineering concrete as claimed in claim 1, characterized in that: 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 calculated and merged 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 merged with the rebound value to obtain the rebound correction value of each measuring point in each measuring area.

8. A strength detection and analysis method for construction engineering concrete as claimed in claim 7, 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.

9. A strength detection and analysis device for concrete in construction engineering, 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.

10. 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 8 are implemented.

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