A method and system for measuring defects in power transmission tower foundation
The method and system analyze elastic wave parameters to enhance defect detection in transmission tower foundations, addressing inaccuracy and condition dependence, achieving improved accuracy through similarity coefficient calculation and machine learning verification.
Patent Information
- Application Number
- CN202111304717.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-11-05
- Publication Date
- 2024-12-20
- Estimated Expiration
- 2041-11-05
AI Technical Summary
Existing methods for detecting defects in transmission tower foundations using elastic wave acoustic parameters are inaccurate due to sensitivity issues and dependence on consistent coupling states, leading to unreliable test results.
A method and system that analyze elastic wave parameters such as wave number, duration, height ratio, and distortion ratio to determine defect status by calculating similarity coefficients, with machine learning verification to improve accuracy.
Enhances the accuracy of defect detection in transmission tower foundations by providing a quantitative analysis method that is independent of detection conditions and further improves results through verification and machine learning.
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Figure CN114065489B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of workpiece defect detection, and in particular to a method and system for measuring defects in a transmission and transformation tower foundation. Background Art
[0002] For the detection of transmission tower foundation defects, the existing detection method uses two elastic wave acoustic parameters, sound velocity and amplitude, for quantitative analysis.
[0003] The sonic velocity analysis is stable, repeatable, and the data is absolutely comparable, but it is not sensitive enough to defects. The amplitude analysis is very sensitive to defects, but is greatly affected by the coupling state of the workpiece surface, and requires a good and consistent coupling state to obtain more accurate analysis results.
[0004] It can be seen that in the existing analysis method, the test results obtained are not accurate due to the limitations of the test conditions. Summary of the invention
[0005] The invention provides a method and system for measuring defects in a transmission tower foundation, which are used to solve the problem of inaccuracy of existing detection means.
[0006] To achieve the above object, the present invention adopts the following technical solutions:
[0007] A first aspect of the present invention provides a method for determining defects in a transmission tower foundation, the method comprising the following steps:
[0008] Transmitting elastic waves to the base of the power transmission and transformation tower to be tested, and receiving the group waves after penetrating the base of the power transmission and transformation tower to be tested;
[0009] Analyze one or more of the number of waves, wave duration, wave height ratio, and distortion ratio parameters of the group of waves respectively to obtain corresponding similarity coefficients;
[0010] Based on the obtained similar systems, the complete waveform similarity is calculated, and based on the value of the complete waveform similarity, the defect status of the power transmission and transformation tower foundation to be tested is determined.
[0011] Furthermore, the method further comprises:
[0012] The transmission and transformation tower foundation with the measured results is dissected and verified, and the value range of the complete waveform similarity when judging the defect situation is corrected.
[0013] Furthermore, the specific process of analyzing the number of waves in the group wave and obtaining the similarity coefficient is as follows:
[0014] S201, at the current measuring point, the number of waves contained in the received wave group is arranged in descending order, the data at the end of the order is regarded as suspicious, the maximum value Nn in the suspicious data and the average value and standard deviation of the data before the order are calculated, and the abnormal situation judgment value N0 is calculated based on the average value and standard deviation;
[0015] S202, comparing the abnormal situation judgment value N0 with the maximum value Nn in the suspicious data;
[0016] S203, if Nn is not greater than N0, then Nn and the data following it are all abnormal values, the abnormal value is removed, and Nn is replaced by the value Nn-1 before Nn, and the operations from step S201 to step S203 are repeated until there is no abnormal value, and the critical value Ni is obtained;
[0017] S204, if Nn is greater than N0, Nn is replaced by N+1, and the operations of step S201, step S202 and step S204 are repeated until an abnormal value is determined, and the critical value Ni is obtained;
[0018] S205: The ratio of the abnormal situation judgment value N0 to the critical value Ni is used as the wave number similarity coefficient.
[0019] Furthermore, the specific process of analyzing the wave duration of the group wave and obtaining the similarity coefficient is as follows:
[0020] S211, at the current measuring point, the total duration of the received group waves is arranged in descending order, the data at the end of the arrangement is regarded as suspicious, the maximum value Tn in the suspicious data and the average value and standard deviation of the data before the arrangement are calculated, and the abnormal situation judgment value T0 is calculated based on the average value and standard deviation;
[0021] S212, comparing the abnormal situation judgment value T0 with the maximum value Tn in the suspicious data;
[0022] S213, if Tn is not greater than T0, then Tn and the data after it are all abnormal values, the abnormal value is removed, Tn is replaced by the value Tn-1 before Tn, and the operations of step S211 to step S212 are repeated until there is no abnormal value, and the critical value Ti is obtained;
[0023] S214, if Tn is greater than T0, replace Tn with T+1, repeat the operations of step S211, step S212 and step S214 until an abnormal value is determined, and the critical value Ti is obtained;
[0024] S215, taking the ratio of the abnormal situation judgment value T0 to the critical value Ti as the wave duration similarity coefficient.
[0025] Furthermore, the wave height ratio of the group wave is analyzed, and the similarity coefficient is obtained as follows:
[0026] The ratio of 0.25 to the wave height ratio is taken as the wave height ratio similarity coefficient.
[0027] Furthermore, the distortion ratio of the group wave is analyzed, and the similarity coefficient is obtained as follows:
[0028] The number of normal waveforms and the total number of waveforms in the group wave are taken as the distortion ratio similarity coefficient.
[0029] Furthermore, the complete waveform similarity is the product of several similarity coefficients.
[0030] The second aspect of the present invention provides a system for measuring defects in a transmission and transformation tower foundation, the system comprising a controller, a transmitting transducer and a receiving transducer; the controller is used to control the transmitting transducer to transmit elastic waves to the transmission and transformation tower foundation to be tested, and control the receiving transducer to receive the group wave after penetrating the transmission and transformation tower foundation to be tested; the controller comprises a data analysis unit and a determination unit;
[0031] The analysis unit analyzes one or more of the number of waves, wave duration, wave height ratio, and distortion ratio parameters of the group of waves to obtain a corresponding similarity coefficient;
[0032] The determination unit calculates the complete waveform similarity based on the obtained similar systems, and determines the defect status of the transmission and transformation tower foundation to be tested based on the value of the complete waveform similarity.
[0033] Furthermore, the controller also includes a verification learning unit. After the transmission and transformation tower base with the measurement results is anatomically verified, the verification learning unit is used to correct the value range of the complete waveform similarity when determining the defect situation.
[0034] A third aspect of the present invention provides a computer storage medium, wherein the computer storage medium stores computer instructions, and when the computer instructions are executed on the system, the system executes the steps of the method.
[0035] The network service control device of the second aspect of the present invention can implement the method of the first aspect and the various implementation modes of the first aspect, and achieve the same effect.
[0036] The effects provided in the content of the invention are only the effects of the embodiments, not all the effects of the invention. One of the above technical solutions has the following advantages or beneficial effects:
[0037] The present invention adds a quantitative analysis method of elastic wave waveforms in the process of defect analysis, defines the parameters of waveform quantification, has no requirements for detection conditions, and improves the accuracy of the detection results. After the defect determination is completed, verification is carried out, and the defect determination is carried out through machine learning and big data, further improving the accuracy of the determination results. BRIEF DESCRIPTION OF THE DRAWINGS
[0038] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0039] Figure 1 is a schematic diagram of a flow chart of an embodiment of the method of the present invention;
[0040] Figure 2 is a schematic diagram of the waveform of elastic waves emitted in an embodiment of the method of the present invention;
[0041] Figure 3 The waveform diagram of the group wave received in the embodiment of the method of the present invention is shown in FIG. Figure 1 ;
[0042] Figure 4 The waveform diagram of the group wave received in the embodiment of the method of the present invention is shown in FIG. Figure 2 ;
[0043] Figure 5 The waveform diagram of the group wave received in the embodiment of the method of the present invention is shown in FIG. Figure 3 ;
[0044] Figure 6 It is a schematic diagram of the structure of the system embodiment of the present invention. DETAILED DESCRIPTION
[0045] In order to clearly illustrate the technical features of the present solution, the present invention is described in detail below through specific implementation methods and in conjunction with the accompanying drawings. The disclosure below provides many different embodiments or examples for realizing different structures of the present invention. In order to simplify the disclosure of the present invention, the components and settings of specific examples are described below. In addition, the present invention may repeat reference numbers and / or letters in different examples. This repetition is for the purpose of simplification and clarity, and does not itself indicate the relationship between the various embodiments and / or settings discussed. It should be noted that the components illustrated in the accompanying drawings are not necessarily drawn to scale. The present invention omits the description of known components and processing techniques and processes to avoid unnecessary limitations on the present invention.
[0046] like Figure 1As shown, an embodiment of the present invention provides a method for determining defects in a transmission tower foundation, the method comprising the following steps:
[0047] S1, transmitting elastic waves to the base of the power transmission and transformation tower to be tested, and receiving the group waves after penetrating the base of the power transmission and transformation tower to be tested;
[0048] S2, analyzing one or more of the wave number, wave duration, wave height ratio, and distortion ratio parameters of the group of waves respectively to obtain corresponding similarity coefficients;
[0049] S3, based on the obtained similar systems, calculate the complete waveform similarity, and based on the value of the complete waveform similarity, determine the defect status of the transmission and transformation tower foundation to be tested.
[0050] In step S1, a set of original elastic waves is emitted by the transmitting transducer, and the waveform is as follows: Figure 2 As shown, after the elastic wave penetrates the base of the transmission and transformation tower to be tested, the receiving transducer receives the elastic wave and performs wave group analysis after preprocessing.
[0051] The original elastic wave emitted contains at least 5 elastic waves with cosine vibrations, and the overall waveform is in the shape of an envelope line; multiple measuring points are set for a transmission and transformation tower base to be tested, and multiple data are collected from multiple transmission and transformation tower bases in the same batch; the received elastic wave group wave contains at least one group of elastic wave data (starting from a regular cosine wave in the horizontal axis direction of the baseline to disappearing as a group of elastic waves), and multiple groups of elastic waves can be collected; the preprocessing includes method and normalization processing of the waveform, wherein the normalization processing includes time normalization, waveform gain normalization and waveform acquisition length normalization.
[0052] In step S2, the probability method is used to query the abnormal points. The specific process of analyzing the number of waves in the group wave and obtaining the similarity coefficient is as follows:
[0053] S201, at the current measuring point, the number of waves contained in the received group wave is arranged in descending order, that is, N1≥N2≥…≥Nn≥Nn+1… The data at the end of the sorting is regarded as suspicious, and the maximum value Nn in the suspicious data and the average value N and standard deviation S of the data before the sorting are calculated. Based on the average value and standard deviation, the abnormal situation judgment value No is calculated, No=N-λ·S, the value of λ is as shown in the following Table 1, and the value of λ corresponds to the number of statistics n.
[0054] n 20 22 24 26 28 30 32 34 36 38 λ 1.65 1.69 1.73 1.77 1.80 1.83 1.86 1.89 1.92 1.94 n 40 42 44 46 48 50 52 54 56 58 λ 1.96 1.98 2.00 2.02 2.04 2.05 2.07 2.09 2.10 2.12 n 60 62 64 66 68 70 72 4 6 78 λ 2.13 2.14 2.15 2.17 2.18 2.19 2.20 2.21 2.22 2.23 n 80 82 84 86 88 90 92 94 96 98 λ 2.24 2.25 2.26 2.27 2.28 2.29 2.30 2.30 2.31 2.31 n 100 105 110 115 120 125 130 140 150 160 λ 2.32 2.35 2.36 2.38 2.40 2.41 2.43 2.45 2.48 2.50
[0055] Table 1
[0056] S202, comparing the abnormal situation judgment value N0 with the maximum value Nn in the suspicious data;
[0057] S203, if Nn is not greater than N0, then Nn and the data following it are all abnormal values, the abnormal value is removed, and Nn is replaced by the value Nn-1 before Nn, and the operations from step S201 to step S203 are repeated until there is no abnormal value, and the critical value Ni is obtained;
[0058] S204, if Nn is greater than N0, Nn is replaced by N+1, and the operations of step S201, step S202 and step S204 are repeated until an abnormal value is determined, and the critical value Ni is obtained;
[0059] S205: The ratio of the abnormal situation judgment value N0 to the critical value Ni is used as the wave number similarity coefficient Kni.
[0060] The wave duration of the group wave is analyzed, and the probability method is used to query the abnormal points. The specific process of obtaining the similarity coefficient is as follows:
[0061] S211, at the current measuring point, the total duration of the received group waves is arranged in descending order, the data at the end of the order is considered suspicious, the maximum value Tn in the suspicious data and the average value and standard deviation of the data before it are calculated, and based on the average value T and the standard deviation s, the abnormal situation judgment value T0 is calculated, T0 = T-λ·s, where the value of λ is as shown in Table 2 above.
[0062] S212, comparing the abnormal situation judgment value T0 with the maximum value Tn in the suspicious data;
[0063] S213, if Tn is not greater than T0, then Tn and the data after it are all abnormal values, the abnormal value is removed, Tn is replaced by the value Tn-1 before Tn, and the operations of step S211 to step S212 are repeated until there is no abnormal value, and the critical value Ti is obtained;
[0064] S214, if Tn is greater than T0, replace Tn with T+1, repeat the operations of step S211, step S212 and step S214 until an abnormal value is determined, and the critical value Ti is obtained;
[0065] S215, taking the ratio of the abnormal situation judgment value T0 to the critical value Ti as the wave time length similarity coefficient Kti.
[0066] The wave height ratio of the group wave is analyzed to obtain the similarity coefficient: the ratio of 0.25 to the wave height ratio is taken as the wave height ratio similarity coefficient Khi. The wave height ratio refers to the absolute value of the ratio of the peak (or trough) of the next wave to the peak (or trough) of the previous wave. The first five waves can be counted.
[0067] The distortion ratio of the group wave is analyzed to obtain the similarity coefficient: the number of normal waveforms in the group wave and the total number of waveforms are taken as the distortion ratio similarity coefficient Kmi. The distortion ratio is the proportion of normal waveforms in a group of waves.
[0068] In step S3, the complete waveform similarity is the product of several similarity coefficients, such as complete waveform similarity K = Kni·Kti·Khi·Kmi·100%.
[0069] The complete waveform similarity of more than 75% is defined as basically complete. 55%-75% means there may be defective bases, and less than 55% means there are serious defective bases. Figure 3-5 As shown, the complete waveform similarities are 87%, 61% and 43%, corresponding to basically complete, possibly defective and severely defective, respectively.
[0070] Another implementation process of the embodiment of the present invention is as follows: the method further includes: dissecting and verifying the transmission and transformation tower base for which the measurement results are obtained, and correcting the value range of the complete waveform similarity when determining the defect situation.
[0071] like Figure 6 As shown, an embodiment of the present invention also provides a system for measuring defects in a transmission and transformation tower foundation, the system comprising a controller 1, a transmitting transducer 2 and a receiving transducer 3; the controller 1 is used to control the transmitting transducer 2 to transmit elastic waves to the transmission and transformation tower foundation to be tested, and to control the receiving transducer 3 to receive the group wave after penetrating the transmission and transformation tower foundation to be tested.
[0072] The controller 1 includes a data analysis unit 11 and a determination unit 12; the analysis unit 11 analyzes one or more of the number of waves, wave duration, wave height ratio, and distortion ratio parameters of the group of waves respectively to obtain a corresponding similarity coefficient; the determination unit 12 calculates the complete waveform similarity based on the obtained several similar systems, and determines the defect status of the current transmission and transformation tower foundation to be tested based on the value of the complete waveform similarity.
[0073] The controller 1 further comprises a verification learning unit 13. After dissecting and verifying the transmission and transformation tower foundation with the measurement result obtained, the verification learning unit 13 is used to correct the value range of the complete waveform similarity when determining the defect situation.
[0074] An embodiment of the present invention further provides a computer storage medium, wherein the computer storage medium stores computer instructions, and when the computer instructions are executed on a system, the system executes the steps of the method.
[0075] Although the above describes the specific implementation mode of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art on the basis of the technical solution of the present invention without creative work are still within the scope of protection of the present invention.
Claims
1. A method for determining defects in a transmission tower foundation, characterized in that: The method comprises the following steps: Transmitting elastic waves to the base of the power transmission and transformation tower to be tested, and receiving the group waves after penetrating the base of the power transmission and transformation tower to be tested; Analyze one or more of the number of waves, wave duration, wave height ratio, and distortion ratio parameters of the group of waves respectively to obtain corresponding similarity coefficients; Based on the obtained similar systems, the complete waveform similarity is calculated, and based on the value of the complete waveform similarity, the defect status of the power transmission and transformation tower foundation to be tested is determined.
2. The method for measuring defects in the foundation of a power transmission and transformation tower according to claim 1, characterized in that: The method further comprises: The transmission and transformation tower foundation with the measured results is dissected and verified, and the value range of the complete waveform similarity when judging the defect situation is corrected.
3. The method for measuring defects in the foundation of a power transmission and transformation tower according to claim 1, characterized in that: The specific process of analyzing the number of waves in the group wave and obtaining the similarity coefficient is as follows: S201, at the current measuring point, the number of waves contained in the received wave group is arranged in descending order, the data at the end of the order is regarded as suspicious, the maximum value Nn in the suspicious data and the average value and standard deviation of the data before the order are calculated, and the abnormal situation judgment value N0 is calculated based on the average value and standard deviation; S202, comparing the abnormal situation judgment value N0 with the maximum value Nn in the suspicious data; S203, if Nn is not greater than N0, then Nn and the data following it are all abnormal values, the abnormal value is removed, and Nn is replaced by the value Nn-1 before Nn, and the operations from step S201 to step S203 are repeated until there is no abnormal value, and the critical value Ni is obtained; S204, if Nn is greater than N0, Nn is replaced by N+1, and the operations of step S201, step S202 and step S204 are repeated until an abnormal value is determined, and the critical value Ni is obtained; S205: The ratio of the abnormal situation judgment value N0 to the critical value Ni is used as the wave number similarity coefficient.
4. The method for measuring defects in the foundation of a power transmission and transformation tower according to claim 1, characterized in that: The specific process of analyzing the wave duration of the group wave and obtaining the similarity coefficient is as follows: S211, at the current measuring point, the total duration of the received group waves is arranged in descending order, the data at the end of the arrangement is regarded as suspicious, the maximum value Tn in the suspicious data and the average value and standard deviation of the data before the arrangement are calculated, and the abnormal situation judgment value T0 is calculated based on the average value and standard deviation; S212, comparing the abnormal situation judgment value T0 with the maximum value Tn in the suspicious data; S213, if Tn is not greater than T0, then Tn and the data after it are all abnormal values, the abnormal value is removed, Tn is replaced by the value Tn-1 before Tn, and the operations of step S211 to step S212 are repeated until there is no abnormal value, and the critical value Ti is obtained; S214, if Tn is greater than T0, replace Tn with T+1, repeat the operations of step S211, step S212 and step S214 until an abnormal value is determined, and the critical value Ti is obtained; S215, taking the ratio of the abnormal situation judgment value T0 to the critical value Ti as the wave duration similarity coefficient.
5. The method for measuring defects in the foundation of a power transmission and transformation tower according to claim 1, characterized in that: The wave height ratio of the group wave is analyzed, and the similarity coefficient is obtained as follows: The ratio of 0.25 to the wave height ratio is taken as the wave height ratio similarity coefficient.
6. The method for measuring defects in the foundation of a power transmission and transformation tower according to claim 1, characterized in that: The distortion ratio of the group wave is analyzed, and the similarity coefficient is obtained as follows: The number of normal waveforms and the total number of waveforms in the group wave are taken as the distortion ratio similarity coefficient.
7. The method for measuring defects in the foundation of a power transmission and transformation tower according to claim 1, characterized in that: The complete waveform similarity is the product of several similarity coefficients.
8. A system for measuring defects in the foundation of a power transmission and transformation tower, characterized in that: The system includes a controller, a transmitting transducer and a receiving transducer; the controller is used to control the transmitting transducer to transmit elastic waves to the transmission and transformation tower base to be tested, and control the receiving transducer to receive the group wave after penetrating the transmission and transformation tower base to be tested; the controller includes a data analysis unit and a determination unit; The analysis unit analyzes one or more of the number of waves, wave duration, wave height ratio, and distortion ratio parameters of the group of waves to obtain a corresponding similarity coefficient; The determination unit calculates the complete waveform similarity based on the obtained similar systems, and determines the defect status of the transmission and transformation tower foundation to be tested based on the value of the complete waveform similarity.
9. The system for measuring defects in the foundation of a power transmission and transformation tower according to claim 8, characterized in that: The controller also includes a verification learning unit. After the transmission and transformation tower base with the measurement result is dissected and verified, the verification learning unit is used to correct the value range of the complete waveform similarity when determining the defect situation.
10. A computer storage medium having computer instructions stored therein, characterized in that: When the computer instructions are executed on the system of claim 8 or 9, the system is caused to perform the steps of the method of any one of claims 1 to 7.
Citation Information
Patent Citations
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