A high performance concrete strength testing device

Abstract

The present invention relates to the field of ultrasonic detection technology, and specifically to a high-performance concrete strength detection device. The high-performance concrete strength detection device includes an ultrasonic detector and an ultrasonic data analysis and processing device. The ultrasonic detector is used to collect ultrasonic data at each measuring point of the concrete sample to be detected, and transmit it to the ultrasonic data analysis and processing device, which is used to divide the state change segments of the ultrasonic data according to the complex local changes of the data points of the ultrasonic data at the measuring point; the influence degree of the ultrasonic state at the measuring point is obtained through the change difference between the state change segments and the overall change of the ultrasonic wave, and the attenuation coefficient is obtained in combination with the transmission attenuation of the ultrasonic data to perform strength detection. The present invention analyzes the affected conditions of the ultrasonic waves at different measuring points in sections, adjusts the attenuation conditions based on the influence degrees of different sections, and performs strength detection, so that the concrete strength detection results are more real and reliable.

Description

Technical Field

[0001] The invention relates to the technical field of ultrasonic detection, and in particular to a high-performance concrete strength detection device. Background Art

[0002] High-performance concrete is widely used in bridges, high-rise buildings, tunnels and other projects due to its superior mechanical properties, durability and impermeability. The strength of concrete is an important indicator to measure its performance, which directly affects the safety and service life of the project. Traditional concrete strength testing methods mainly rely on sampling, curing and compression testing of standard specimens. This method is not only time-consuming, but also has poor sample representativeness, cumbersome manual operations, and is easily affected by the external environment. In addition, with the complexity of modern buildings and the variability of construction sites, traditional methods can no longer meet the needs of real-time monitoring and rapid evaluation.

[0003] In the prior art, there are three main methods for testing the strength of concrete: the rebound method, the resistivity method, and the ultrasonic method. Among them, ultrasonic testing is to evaluate the strength and uniformity of concrete by measuring the propagation speed of ultrasonic waves in concrete. This method is non-destructive, real-time, and can be used for large-area testing. However, when the existing ultrasonic testing equipment is used to test the strength of concrete, in the case of complex concrete structures, ultrasonic waves may propagate through multiple paths, resulting in the mixing of the received signals, causing large errors in ultrasonic measurement, and the credibility of the test results is low. Summary of the invention

[0004] In order to solve the technical problems that ultrasonic measurement in the prior art has large errors and the reliability of the detection results is low, the purpose of the present invention is to provide a high-performance concrete strength detection device, and the technical solution adopted is as follows:

[0005] The present invention provides a high-performance concrete strength detection device, comprising an ultrasonic detector and an ultrasonic data analysis and processing device; the signal output end of the ultrasonic detector is connected to the signal input end of the ultrasonic data analysis and processing device, the ultrasonic detector is used to collect ultrasonic data at each measuring point of a concrete sample to be detected, and output the ultrasonic data to the ultrasonic data analysis and processing device;

[0006] The ultrasonic data analysis and processing device is used to divide the ultrasonic data at each measuring point into state change segments according to the complexity of the local mutation of each data point in the ultrasonic data at each measuring point;

[0007] According to the variation deviation between adjacent state variation segments in the ultrasonic data at each measurement point, combined with the overall variation disorder of the ultrasonic data, the influence degree of the ultrasonic state at each measurement point is obtained;

[0008] The attenuation coefficient is obtained by combining the transmission attenuation of the ultrasonic data at all measuring points and the influence of the ultrasonic state; the strength of the concrete sample to be tested is tested based on the attenuation coefficient.

[0009] Furthermore, the method of dividing the ultrasonic data at each measuring point into state change segments according to the complexity of the local mutation of each data point in the ultrasonic data at each measuring point includes:

[0010] For any data point in the ultrasonic data at each measuring point, the variation possibility of the data point is obtained according to the numerical deviation degree of the data point in a preset local range and the distribution complexity of all data points;

[0011] determining a partitioning data point from all data points of the ultrasonic data based on the likelihood of change;

[0012] The data segment between each two adjacent divided data points in the ultrasonic data at each measuring point is taken as a state change segment.

[0013] Furthermore, the method for obtaining the change possibility includes:

[0014] In the preset local range of the data point, the numerical difference between each data point and each adjacent data point is calculated, and the average is calculated to obtain the local variation degree of each data point; the ratio of the local variation degree of the data point to the sum of all local variation degrees in the preset local range is used as the local deviation significance of the data point;

[0015] In a preset local range of the data point, the values ​​of all data points are arranged in the order of the data points to obtain a local data sequence; a differential sequence of the local data sequence is obtained, and the variance of all differential values ​​in the differential sequence is calculated as the local change disorder of the data point;

[0016] The change possibility of the data point is obtained by combining the local deviation significance and the local change disorder of the data point.

[0017] Further, the step of determining the partitioned data points from all the data points of the ultrasonic data based on the possibility of change includes:

[0018] The data points whose change possibility in the ultrasonic data is greater than the preset division threshold are used as initial division points;

[0019] When the previous data point of the initial division point is not the initial division point, the corresponding initial division point is used as the division data point.

[0020] Furthermore, the method for obtaining the influence degree of the ultrasonic state includes:

[0021] For any state change segment of the ultrasonic data at each measuring point, the state index of the state change segment is obtained according to the distribution discreteness of the data points in the state change segment and the distribution of the value changes between the data points;

[0022] According to the difference in state indicators between the state change segment and the adjacent state change segment, a change impact indicator of the state change segment is obtained;

[0023] Determine the state influence degree of the ultrasonic data at each measuring point according to the size distribution of all change influence indicators in the ultrasonic data at each measuring point;

[0024] The variance of all data points in the ultrasonic data at each measurement point is used as an overall chaos indicator of the ultrasonic data at each measurement point;

[0025] The overall chaos index and state influence degree of the ultrasonic data at each measuring point are combined to obtain the ultrasonic state influence degree at each measuring point.

[0026] Furthermore, the method for obtaining the status indicator includes:

[0027] The numerical variance of the data points in the state change segment is used as the numerical distribution index of the state change segment;

[0028] The numerical difference between each two adjacent data points in the state change segment is taken as the change difference; the mean of all the change differences in the state change segment is taken as the change mean index of the state change segment; the variance of all the change differences in the state change segment is taken as the change deviation index of the state change segment; the change distribution index of the state change segment is obtained by combining the change mean index and the change deviation index of the state change segment;

[0029] The state index of the state change segment is obtained by combining the value distribution index and the change distribution index of the state change segment.

[0030] Furthermore, the method for obtaining the change impact index includes:

[0031] The difference between the state index of the state change segment and each adjacent state change segment is calculated, and the average is calculated to obtain the change impact index of the state change segment.

[0032] Furthermore, the method for obtaining the state influence degree includes:

[0033] Arrange all the change influencing indicators in the ultrasonic data at each measuring point in ascending order to obtain an influence sequence;

[0034] Calculate the difference between each two adjacent change impact indicators in the impact sequence as the indicator difference; among the two change impact indicators when the indicator difference is the largest, take the smallest change impact indicator as the division indicator; take the state change segment where the change impact indicator is greater than the division indicator as the unstable change segment;

[0035] The average value of the state indicators of all unstable change segments is taken as the state influence degree of the ultrasonic data at each measuring point.

[0036] Furthermore, the attenuation coefficient is obtained by combining the transmission attenuation of the ultrasonic data at all measuring points and the influence of the ultrasonic state, including:

[0037] The difference between the starting energy and the cutoff energy of the ultrasonic data at each measuring point is taken as the energy loss of each ultrasonic data; the ratio of the energy loss of each ultrasonic data to the propagation distance is taken as the initial attenuation coefficient of each measuring point;

[0038] The product of the influence degree of the ultrasonic state of each measuring point and the initial attenuation coefficient is used as the adjustment value of each measuring point; the sum of the adjustment value of each measuring point and the initial attenuation coefficient is normalized to obtain the local attenuation coefficient of each measuring point;

[0039] The average of the local attenuation coefficients of all measurement points is taken as the attenuation coefficient.

[0040] Furthermore, the horizontal axis of the ultrasonic data is the propagation distance, and the vertical axis is the energy.

[0041] The present invention has the following beneficial effects:

[0042] The present invention analyzes the ultrasonic propagation state by analyzing the local changes of the data points of the ultrasonic data at multiple measuring points of the concrete to be tested, and divides the different state change segments of the ultrasonic data, which preliminarily reflects the possibility of encountering different media conditions during ultrasonic propagation, so as to facilitate the subsequent analysis of the degree of interference influence of different state change segments of the ultrasonic wave. Further, by combining the change difference between the state change segments with the overall change of the ultrasonic wave, the influence degree of the ultrasonic state at each measuring point is obtained by comprehensively considering the conditions of different state change segments, reflecting the influence degree of the ultrasonic wave at the measuring point caused by different propagation media. Finally, the attenuation of the ultrasonic wave is adjusted according to the influence degree of the ultrasonic state of the measuring point, and the attenuation coefficient is obtained for strength detection. The present invention analyzes the affected conditions of the ultrasonic wave at different measuring points in sections, adjusts the attenuation conditions according to the influence degree of different sections, and performs strength detection, so that the concrete strength detection result is more real and reliable. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 A structural diagram of a high performance concrete strength detection device provided by one embodiment of the present invention;

[0045] Figure 2 A flow chart of a concrete strength detection method provided by one embodiment of the present invention;

[0046] Figure 3 A flow chart of a method for obtaining a state change segment provided by an embodiment of the present invention;

[0047] Figure 4 A flow chart of a method for obtaining the influence degree of an ultrasonic state provided by an embodiment of the present invention;

[0048] In conjunction with the accompanying drawings, the following reference numerals are marked on the drawings: 1 - concrete sample to be tested; 2 - data line; 3 - fixing clamping device; 4 - size adjustment device; 5 - adjustment connecting rod; 6 - ultrasonic data analysis and processing device; 7 - ultrasonic detector. DETAILED DESCRIPTION

[0049] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the specific implementation, structure, characteristics and effects of a high-performance concrete strength detection device proposed according to the present invention in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0050] Unless defined otherwise, 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 invention belongs.

[0051] The following is a detailed description of a high performance concrete strength detection device provided by the present invention in conjunction with the accompanying drawings. Figure 1, which shows a structural diagram of a high-performance concrete strength detection device provided by an embodiment of the present invention, the detection device includes: 1-concrete sample to be detected; 2-data line; 3-fixed clamping device; 4-size adjustment device; 5-adjusting connecting rod; 6-ultrasonic data analysis and processing device; 7-ultrasonic detector. The ultrasonic detector 7 is used to obtain ultrasonic data, and the signal output end of the ultrasonic detector 7 is connected to the signal input end of the ultrasonic data analysis and processing device 6 through the data line 2. The ultrasonic data analysis and processing device 6 is used to process and analyze ultrasonic data. The chip type is FPGA, which receives the signal of the ultrasonic detector 7.

[0052] The concrete sample 1 to be tested is clamped in the fixed clamping device 3, and the ultrasonic data of the concrete sample to be tested is collected by the ultrasonic detector 7. When collecting ultrasonic data, first ensure that the equipment is normal, check the battery power and probe status, and select a suitable coupling agent; secondly, clean the surface of the concrete to be tested to ensure that there is no debris and oil, and then evenly apply the coupling agent to ensure the effective transmission of the ultrasonic signal. Then, place the ultrasonic probe vertically on the concrete surface coated with the coupling agent to ensure that the probe is in full contact with the surface. After the equipment is set up, press the acquisition button to record the propagation of the ultrasonic wave. To ensure the accuracy of the data, select multiple measurement points in the same structure, repeat the above steps, obtain the ultrasonic data of multiple measurement points through the ultrasonic detector 7, and then transmit the collected ultrasonic data to the ultrasonic data analysis and processing device 6 through the data line 2, analyze and process the ultrasonic data, and obtain the strength evaluation result of the concrete to be tested.

[0053] Among them, the testing method of the concrete strength to be tested can be found in Figure 2 , which shows a flow chart of a concrete strength detection method provided by an embodiment of the present invention, the method comprising the following steps:

[0054] S1: According to the complexity of the local mutation of each data point in the ultrasonic data at each measurement point, the ultrasonic data at each measurement point is divided into state change segments.

[0055] The basic principle of ultrasonic measurement of concrete strength is to transmit ultrasonic signals into concrete and measure its propagation speed and echo characteristics. The hardness and strength of concrete directly affect the propagation of ultrasonic waves. The ultrasonic detection method will not cause damage to the concrete structure and is suitable for concrete detection of projects under construction and already built. The ultrasonic measurement process is relatively fast and can complete multi-point measurements in a short time. It can be used for different types of concrete and its components and is suitable for various environments and conditions. Energy is the amplitude of ultrasonic wave propagation in concrete and is one of the most commonly used measurement parameters. The energy of ultrasonic waves can not only reflect the intrinsic properties of concrete, but also reflect the defects and damage degree in concrete. According to the change of energy, parameters such as elastic modulus, compressive strength and tensile strength of concrete can be inferred. Therefore, in the embodiment of the present invention, the horizontal coordinate of ultrasonic data is the propagation distance and the vertical coordinate is energy.

[0056] Because the propagation of ultrasound in concrete solids is affected by different media, when propagating in a single medium, the ultrasonic data will show uniform attenuation. The longer the propagation distance, the greater the attenuation. When transmitted to different media, different tissues have different absorption capacities for ultrasonic energy, and the energy intensity will change. For example, when ultrasound is transmitted to media such as steel bars, gravel, and voids in concrete, the obtained ultrasonic data will show obvious fluctuations. Therefore, the local changes of each data point of the ultrasonic data at the measurement point can be used to analyze whether the propagation state has changed, and subsequent segmented analysis can be performed.

[0057] Preferably, in some possible implementations of the embodiments of the present invention, the method for obtaining the state change segment can be found in Figure 3 , which shows a flow chart of a method for obtaining a state change segment provided by an embodiment of the present invention, the method comprising the following steps:

[0058] S101: For any data point in the ultrasonic data at each measuring point, the variation possibility of the data point is obtained according to the value deviation degree of the data point in a preset local range and the distribution complexity of all data points.

[0059] Since concrete is viscoplastic, when ultrasound passes through concrete, it will cause energy absorption or multipath effect, resulting in gradual attenuation of energy changes. When the propagation state changes, it can be understood that when it is transmitted to different media, the degree of change will change. Therefore, in the ultrasonic data, the possibility of state change can be analyzed by analyzing the local changes of any data point. The local changes reflect the degree of mutation through the local deviation of the data point, and the local instability is reflected through the distribution complexity of all local data points. The changes are analyzed in combination of the two aspects.

[0060] Preferably, in some possible implementations of the embodiments of the present invention, the method for obtaining the possible degree of change of a data point includes:

[0061] First, the possible degree of change is analyzed from the possible degree of mutation. Within the preset local range of the data point, the numerical difference between each data point and each adjacent data point is calculated, and the average is obtained to obtain the local change degree of each data point, reflecting the degree of local change of each data point. Among them, adjacent refers to the data point with a spacing of 1 from the data point, and there are generally two. When the data point is at the beginning and end of the range, there is only one adjacent data point. It can be understood that the mean calculation of only one is still for itself. Further, the difference between the local change degree of the data point and the mean of all local change degrees within the preset local range is used as the local deviation significance of the data point. When the medium does not change, the local deviation is relatively consistent. Because when the difference with the mean is large, it means that the local change at the data point has a more obvious prominent change, and the possibility of this data point being a change point is higher.

[0062] Considering that the mutation caused by the change of the transmission medium is not significant, but its change will definitely fluctuate, we further analyze it from the local stability. Within the preset local range of the data point, the values ​​of all data points are arranged in the order of the data points to obtain the local data sequence, and the differential sequence of the local data sequence is obtained. The degree of continuous change of the data point is reflected by the differential situation, and the variance of all differential values ​​in the differential sequence is calculated as the local change disorder of the data point. When the continuous change situation within the local range is more disordered, it means that the possibility of state change at the data point is higher. It should be noted that the method for obtaining the differential sequence is a technical means well known to those skilled in the art, and will not be elaborated here.

[0063] Finally, the local deviation significance and the local change disorder of the data point are combined to obtain the change possibility of the data point. The change possibility is considered comprehensively from two aspects. In the embodiment of the present invention, the product of the local deviation significance and the local change disorder is normalized as the change possibility of the data point. The combination is carried out in the form of a product. When the local deviation significance is greater, the local change disorder is greater, indicating that the possibility of state change at the data point is higher, so the change possibility is greater. It should be noted that normalization is a technical means well known to those skilled in the art. The choice of normalization can be linear normalization or standard normalization, etc. The specific normalization method is not limited here.

[0064] In a specific implementation of an embodiment of the present invention, the preset local range is set to a range centered on the data point with a side length of 9. The implementer can adjust the setting of the specific range according to the specific implementation scenario and is not limited here.

[0065] S102: Determine partition data points from all data points of the ultrasonic data based on the possibility of change.

[0066] After analyzing the possibility of each data point being a change point, the division point is determined by the obtained data. Preferably, in the embodiment of the present invention, the data point whose change possibility in the ultrasonic data is greater than the preset division threshold is used as the initial division point. When the change possibility of the data point meets the division threshold, it means that its change is more significant and can be used as a division point. When the previous data point of the initial division point is not the initial division point, the corresponding initial division point is used as the division data point. Due to the uncertainty of ultrasonic energy absorption or multipath effect, there may be continuous data points that meet the change. At this time, the first point, that is, the point that does not meet the division condition of the previous data point, needs to be used as the division. Otherwise, when the previous data point of the initial division point is the initial division point, this initial division point cannot be used as the division data point to prevent the error of continuous division.

[0067] In a specific implementation of the embodiment of the present invention, the preset division threshold can be set to 0.7, and the implementer can adjust the value thereof at will, and no limitation is made here.

[0068] S103: taking the data segment between every two adjacent divided data points in the ultrasonic data at each measuring point as a state change segment.

[0069] Finally, segmentation processing can be performed based on the divided data points. The data segment between each two adjacent divided data points reflects a propagation state of ultrasonic propagation, and subsequent changes are analyzed by obtaining different state change segments.

[0070] S2: Obtain the influence degree of the ultrasonic state at each measuring point according to the change deviation between adjacent state change segments in the ultrasonic data at each measuring point and the overall change disorder of the ultrasonic data.

[0071] Different state change segments represent the energy changes of ultrasonic waves when propagating in different media. For non-concrete media, the ultrasonic energy reflection or multipath effect will be more serious, and the energy attenuation will be more chaotic, affecting the subsequent attenuation analysis of the concrete part. Therefore, a comprehensive analysis of adjacent situations of the state change segments is performed. The deviations of different state change segments can reflect the impact of the more chaotic state change segments. The overall change of ultrasonic waves can be combined to consider the impact of ultrasonic waves from a global perspective to facilitate subsequent adjustments.

[0072] Preferably, in some possible implementations of the embodiments of the present invention, the method for obtaining the ultrasonic state influence degree can be found in Figure 4, which shows a flow chart of a method for obtaining the influence degree of an ultrasonic state provided by an embodiment of the present invention, the method comprising the following steps:

[0073] S201: For any state change segment of the ultrasonic data at each measuring point, a state index of the state change segment is obtained according to the distribution discreteness of the data points in the state change segment and the distribution of the value changes between the data points.

[0074] First, the stability of each state change segment is analyzed, and the instability of the state is reflected by the distribution of data points in the ultrasonic data and the distribution of changes between data points to obtain a state index. Preferably, in an embodiment of the present invention, the method for obtaining the state index includes:

[0075] First, the numerical variance of the data points in the state change segment is used as the numerical distribution index of the state change segment to reflect the stability of the numerical distribution. The larger the variance, that is, the larger the numerical distribution index, the worse the stability of the numerical distribution.

[0076] Further, from the analysis of the change situation, the numerical difference between each two adjacent data points in the state change segment is taken as the change difference, and the mean of all the change differences in the state change segment is taken as the change mean index of the state change segment, and the mean reflects the magnitude of the overall change in the state change segment. Secondly, the variance of all the change differences in the state change segment is taken as the change deviation index of the state change segment, and the variance reflects the degree of confusion of the overall change in the state change segment. Finally, the change mean index and the change deviation index of the state change segment are combined to obtain the change distribution index of the state change segment. In an embodiment of the present invention, the product of the change mean index and the change deviation index of the state change segment is taken as the change distribution index of the state change segment. The larger the change mean index and the change deviation index are, the worse the stability of the numerical change distribution is.

[0077] Finally, the numerical distribution index and the change distribution index of the state change segment are combined to obtain the state index of the state change segment. In an embodiment of the present invention, the product of the numerical distribution index and the change distribution index of the state change segment is used as the state index of the state change segment. Through the product combination, the larger the numerical distribution index and the change distribution index are, the worse the stability of the state change segment is, and the higher the state index is.

[0078] S202: Obtain a change impact index of the state change segment according to the difference in state index between the state change segment and an adjacent state change segment.

[0079] It is further necessary to analyze each state change segment in combination with the adjacent state change segments. Due to the change of the medium in the concrete, the greater the difference between the state change segment and the adjacent state change segments, the higher the possibility that it is characterized as affecting the concrete part. Therefore, in the embodiment of the present invention, the difference between the state index of the state change segment and each adjacent state change segment is calculated, and the average is calculated to obtain the change influence index of the state change segment. The change influence index reflects the significant instability of each state change segment. The larger the change influence index, the higher the influence of the state change segment.

[0080] S203: Determine the state influence degree of the ultrasonic data at each measuring point according to the size distribution of all change influence indicators in the ultrasonic data at each measuring point.

[0081] The state change segments with high instability are screened, and the degree of instability interference of the entire ultrasonic data is obtained through the instability degree of these state change segments with high instability. Preferably, in an embodiment of the present invention, the method for obtaining the state influence degree includes:

[0082] Firstly, all the change influencing indicators in the ultrasonic data at each measuring point are arranged in ascending order to obtain the influence sequence. The difference between each two adjacent change influencing indicators in the influence sequence is calculated as the indicator difference, and the unstable division is performed according to the difference degree of the change influencing indicators.

[0083] Furthermore, among the two change impact indicators when the indicator difference is the largest, the smallest change impact indicator is used as the dividing indicator, and binary classification screening is performed through the maximum difference in the sequence. The state change segment where the change impact indicator is greater than the dividing indicator is taken as the unstable change segment. At this time, the instability significance of the unstable change segment is relatively high.

[0084] Finally, the average of the state indicators of all unstable change segments is used as the state influence of the ultrasonic data at each measurement point. By combining the state conditions of all parts with high instability, the degree of influence of the entire ultrasonic data is comprehensively reflected.

[0085] S204: taking the variance of all data points in the ultrasonic data at each measuring point as the overall chaos index of the ultrasonic data at each measuring point; combining the overall chaos index and the state influence degree of the ultrasonic data at each measuring point to obtain the ultrasonic state influence degree at each measuring point.

[0086] Finally, combined with the numerical change degree of the ultrasonic data itself, the more chaotic the ultrasonic data itself is, the more serious the situation is. The degree of impact is highly represented in the overall ultrasonic data analysis. Therefore, the overall chaos index of the ultrasonic data at the measurement point is obtained through the variance.

[0087] Furthermore, in an embodiment of the present invention, the product of the overall chaos index of the ultrasonic data at each measuring point and the state influence degree is used as the ultrasonic state influence degree at each measuring point. The degree of influence is combined in the form of multiplication to reflect the overall impact of the ultrasonic wave. The greater the ultrasonic state influence degree, the more significant the impact on the ultrasonic data, and the higher the subsequent adjustment required.

[0088] S3: Combining the transmission attenuation of the ultrasonic data at all measuring points and the influence of the ultrasonic state, the attenuation coefficient is obtained; and the strength test of the concrete sample to be tested is performed based on the attenuation coefficient.

[0089] The energy lost when ultrasonic waves propagate in concrete can reflect the quality and strength of concrete. The more energy the ultrasonic wave loses when propagating in concrete, the worse the strength of the concrete. Therefore, the strength can be judged by the transmission attenuation. However, considering that ultrasonic waves are affected by the multipath of different media, the attenuation characterization is not accurate. Therefore, a more accurate attenuation result can be obtained by comprehensively considering the degree of influence of the ultrasonic state.

[0090] Preferably, in some possible implementations of the embodiments of the present invention, the method for obtaining the attenuation coefficient includes:

[0091] The difference between the starting energy and the cutoff energy of the ultrasonic data at each measuring point is taken as the energy loss degree of each ultrasonic data. The degree of energy loss is reflected by obtaining the overall energy change degree of the ultrasonic data from the beginning to the end. The ratio of the energy loss degree of each ultrasonic data to the propagation distance is taken as the initial attenuation coefficient of each measuring point. The transmission loss of each measuring point is reflected by the initial attenuation coefficient. The product of the ultrasonic state influence degree of each measuring point and the initial attenuation coefficient is taken as the adjustment value of each measuring point. The more serious the characterization situation is, the higher the attenuation degree needs to be adjusted. The adjustment value of each measuring point and the sum of the initial attenuation coefficient are normalized to obtain the local attenuation coefficient of each measuring point, and the adjusted attenuation of each measuring point is obtained. The average of the local attenuation coefficients of all measuring points is taken as the attenuation coefficient to reflect the attenuation of the final detection.

[0092] Finally, the strength of the concrete sample to be tested is tested based on the attenuation coefficient. In the embodiment of the present invention, the strength test can be performed according to the relationship table between the attenuation coefficient and the strength range. As an example, as shown in Table 1, Table 1 is a relationship table between the attenuation coefficient and the strength range:

[0093]

[0094] Table 1

[0095] The strength range in Table 1 represents the grades of different concretes, and the attenuation coefficient is a numerical range, thereby completing the strength detection of the concrete samples to be tested based on ultrasonic data.

[0096] In summary, the present invention analyzes the ultrasonic propagation state by analyzing the local changes of the data points of the ultrasonic data at multiple measuring points of the concrete to be tested, and divides the ultrasonic data into different state change segments, which preliminarily reflects the possibility of encountering different media conditions during ultrasonic propagation, so as to facilitate the subsequent analysis of the degree of interference influence of different state change segments of the ultrasonic wave. Further, through the difference in changes between the state change segments combined with the overall change of the ultrasonic wave, the influence degree of the ultrasonic state at each measuring point is obtained by comprehensively considering the conditions of different state change segments, reflecting the influence degree of the ultrasonic wave at the measuring point caused by different propagation media. Finally, according to the influence degree of the ultrasonic state at the measuring point, the attenuation of the ultrasonic wave is adjusted to obtain the attenuation coefficient for strength detection. The present invention analyzes the affected conditions of the ultrasonic wave at different measuring points in sections, adjusts the attenuation conditions by comprehensively considering the influence degrees of different sections, and performs strength detection, so that the concrete strength detection results are more real and reliable.

[0097] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0098] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A high performance concrete strength testing device, characterized in that: It comprises an ultrasonic detector and an ultrasonic data analysis and processing device; the signal output end of the ultrasonic detector is connected to the signal input end of the ultrasonic data analysis and processing device, and the ultrasonic detector is used to collect ultrasonic data at each measuring point of the concrete sample to be detected, and output the ultrasonic data to the ultrasonic data analysis and processing device; The ultrasonic data analysis and processing device is used to divide the ultrasonic data at each measuring point into state change segments according to the complexity of the local mutation of each data point in the ultrasonic data at each measuring point; According to the variation deviation between adjacent state variation segments in the ultrasonic data at each measurement point, combined with the overall variation disorder of the ultrasonic data, the influence degree of the ultrasonic state at each measurement point is obtained; The attenuation coefficient is obtained by combining the transmission attenuation of the ultrasonic data at all measuring points and the influence of the ultrasonic state; Perform strength testing on the concrete sample to be tested based on the attenuation coefficient; According to the complexity of the local mutation of each data point in the ultrasonic data at each measuring point, the ultrasonic data at each measuring point is divided into state change segments, including: For any data point in the ultrasonic data at each measuring point, the variation possibility of the data point is obtained according to the numerical deviation degree of the data point in a preset local range and the distribution complexity of all data points; determining a partitioning data point from all data points of the ultrasonic data based on the likelihood of change; The data segment between each two adjacent divided data points in the ultrasonic data at each measuring point is taken as a state change segment; The method for obtaining the influence degree of the ultrasonic state includes: For any state change segment of the ultrasonic data at each measuring point, the state index of the state change segment is obtained according to the distribution discreteness of the data points in the state change segment and the distribution of the value changes between the data points; According to the difference in state indicators between the state change segment and the adjacent state change segment, a change impact indicator of the state change segment is obtained; Determine the state influence degree of the ultrasonic data at each measuring point according to the size distribution of all change influence indicators in the ultrasonic data at each measuring point; The variance of all data points in the ultrasonic data at each measurement point is used as an overall chaos indicator of the ultrasonic data at each measurement point; The overall chaos index and state influence degree of the ultrasonic data at each measuring point are combined to obtain the influence degree of the ultrasonic state at each measuring point; The attenuation coefficient is obtained by combining the transmission attenuation of the ultrasonic data at all measuring points and the influence of the ultrasonic state, including: The difference between the starting energy and the cutoff energy of the ultrasonic data at each measuring point is taken as the energy loss of each ultrasonic data; the ratio of the energy loss of each ultrasonic data to the propagation distance is taken as the initial attenuation coefficient of each measuring point; The product of the influence degree of the ultrasonic state of each measuring point and the initial attenuation coefficient is used as the adjustment value of each measuring point; the sum of the adjustment value of each measuring point and the initial attenuation coefficient is normalized to obtain the local attenuation coefficient of each measuring point; The average of the local attenuation coefficients of all measurement points is taken as the attenuation coefficient.

2. A high performance concrete strength detection device according to claim 1, characterized in that: The method for obtaining the change possibility includes: In the preset local range of the data point, the numerical difference between each data point and each adjacent data point is calculated, and the average is calculated to obtain the local variation degree of each data point; the ratio of the local variation degree of the data point to the sum of all local variation degrees in the preset local range is used as the local deviation significance of the data point; In a preset local range of the data point, the values ​​of all data points are arranged in the order of the data points to obtain a local data sequence; a differential sequence of the local data sequence is obtained, and the variance of all differential values ​​in the differential sequence is calculated as the local change disorder of the data point; The change possibility of the data point is obtained by combining the local deviation significance and the local change disorder of the data point.

3. A high performance concrete strength detection device according to claim 1, characterized in that: The step of determining the partitioned data points from all the data points of the ultrasonic data based on the possibility of change comprises: The data points whose change possibility in the ultrasonic data is greater than the preset division threshold are used as initial division points; When the previous data point of the initial division point is not the initial division point, the corresponding initial division point is used as the division data point.

4. A high performance concrete strength detection device according to claim 1, characterized in that: The method for obtaining the status indicator includes: The numerical variance of the data points in the state change segment is used as the numerical distribution index of the state change segment; The numerical difference between each two adjacent data points in the state change segment is taken as the change difference; the mean of all the change differences in the state change segment is taken as the change mean index of the state change segment; the variance of all the change differences in the state change segment is taken as the change deviation index of the state change segment; the change distribution index of the state change segment is obtained by combining the change mean index and the change deviation index of the state change segment; The state index of the state change segment is obtained by combining the value distribution index and the change distribution index of the state change segment.

5. A high performance concrete strength detection device according to claim 1, characterized in that: The method for obtaining the change impact index includes: The difference between the state index of the state change segment and each adjacent state change segment is calculated, and the average is calculated to obtain the change impact index of the state change segment.

6. A high performance concrete strength detection device according to claim 1, characterized in that: The method for obtaining the state influence degree includes: Arrange all the change influencing indicators in the ultrasonic data at each measuring point in ascending order to obtain an influence sequence; Calculate the difference between each two adjacent change impact indicators in the impact sequence as the indicator difference; among the two change impact indicators when the indicator difference is the largest, take the smallest change impact indicator as the division indicator; take the state change segment where the change impact indicator is greater than the division indicator as the unstable change segment; The average value of the state indicators of all unstable change segments is taken as the state influence degree of the ultrasonic data at each measuring point.

7. A high performance concrete strength detection device according to claim 1, characterized in that: The horizontal axis of the ultrasonic data is the propagation distance, and the vertical axis is the energy.

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