Tamping quality detection method and detection standard determination method and device

Abstract

The invention relates to a ramming quality detection method and a detection standard determination method and device, and relates to the technical field of engineering control. The detection method comprises the following steps: acquiring a time domain acceleration signal generated when a target tamping point in a target area is tamped each time in multiple times of tamping; performing frequency domain transformation on the time domain acceleration signal to obtain an acceleration frequency spectrum corresponding to the time domain acceleration signal; according to the maximum acceleration amplitude in the acceleration frequency spectrum and the acceleration amplitude corresponding to each specified frequency in a plurality of specified frequencies in the acceleration frequency spectrum, determining a frequency domain characteristic quantity corresponding to each ramming; and according to the frequency domain characteristic quantity corresponding to each time of tamping and the detection standard of the tamping quality corresponding to the target area, the tamping quality of the target tamping point is detected. According to the technical scheme, the detection efficiency and reliability of the tamping quality can be improved.

Description

Technical Field

[0001] This disclosure relates to the field of engineering control technology, and in particular to a method for detecting impact quality, a method for determining the detection standard, and an apparatus. Background Technology

[0002] A dynamic compaction machine is a type of construction machinery used for foundation reinforcement. It utilizes a lifting device to raise a hammer to a certain height, then releases it to fall freely. The powerful impact force generated by the falling hammer compacts the foundation (such as soil or rock), thereby increasing its rigidity. In other words, the dynamic compaction machine's target is the foundation, and its purpose is to increase its rigidity.

[0003] Therefore, the compaction quality achieved by using a dynamic compaction machine is one of the key indicators for measuring construction quality.

[0004] In related technologies, the compaction quality of the target compaction point is judged by manually measuring the amount of compaction formed by each impact on the target compaction point, and whether the amount of compaction meets the industry-specified value. Summary of the Invention

[0005] The inventors of this disclosure have discovered the following problems in the above-mentioned related technologies: the detection efficiency and reliability of the impact quality are both low.

[0006] To address the aforementioned problems, the present disclosure provides the following solutions.

[0007] According to some embodiments of this disclosure, a method for detecting compaction effect is provided, comprising: acquiring time-domain acceleration signals generated by target compaction points in the target area during multiple compaction operations; performing frequency-domain transformation on the time-domain acceleration signals to obtain an acceleration spectrum corresponding to the time-domain acceleration signals; determining frequency-domain feature quantities corresponding to each compaction operation based on the maximum acceleration amplitude in the acceleration spectrum and the acceleration amplitude corresponding to each specified frequency among a plurality of specified frequencies in the acceleration spectrum; and detecting the compaction quality of the target compaction points based on the frequency-domain feature quantities corresponding to each compaction operation and the compaction quality detection standard corresponding to the target area.

[0008] In some embodiments, determining the frequency domain feature corresponding to each impact based on the maximum acceleration amplitude in the acceleration spectrum and the acceleration amplitude corresponding to each specified frequency among a plurality of specified frequencies includes: determining a weighted sum of the acceleration amplitudes corresponding to each specified frequency among the plurality of specified frequencies; and determining the frequency domain feature corresponding to each impact based on the ratio of the weighted sum to the maximum acceleration amplitude.

[0009] In some embodiments, acquiring the time-domain acceleration signal generated by the target tamping point in each tamping of the target area during multiple tamping operations includes: determining a first distance between the tamping hammer and the ground before each tamping in the multiple tamping operations based on the gravitational acceleration signal of the tamping hammer during free fall; and in response to the first distance being greater than or equal to a first threshold, acquiring the instantaneous acceleration signal generated by the tamping hammer at the moment of each tamping of the target tamping point as the time-domain acceleration signal.

[0010] In some embodiments, different detection standards are used for different target regions.

[0011] In some embodiments, the detection standard is determined as follows: Multiple first test impacts are performed on each of the plurality of first sample impact points in the target area; the sample time-domain acceleration signal generated by each first test impact on each first sample impact point in the multiple first test impacts is obtained, and the settlement amount formed by each first test impact on each first sample impact point is obtained; the sample time-domain acceleration signal is frequency-domain transformed to obtain the sample acceleration spectrum corresponding to the sample time-domain acceleration signal; based on the maximum acceleration amplitude in the sample acceleration spectrum and the acceleration amplitude corresponding to each specified frequency of the plurality of samples, the sample frequency-domain feature quantity corresponding to each first test impact on each first sample impact point is determined; a correlation analysis is performed on the sample frequency-domain feature quantity and settlement amount corresponding to each first test impact on each first sample impact point to determine a first correlation index; in response to the first correlation index being greater than a second threshold, the detection standard is determined based on the sample frequency-domain feature quantity corresponding to each first test impact on each first sample impact point.

[0012] In some embodiments, determining the detection standard based on the sample frequency domain feature quantity corresponding to each first test tamping point of each first sample tamping point includes: determining the first sample tamping point whose tamping settlement amount formed by the last two first test tampings in the multiple first test tampings is less than or equal to a third threshold as a designated sample tamping point; and determining the detection standard based on the designated sample frequency domain feature quantity corresponding to the last two first test tampings of the designated sample tamping point.

[0013] In some embodiments, determining the detection standard based on the specified sample frequency domain feature quantity corresponding to the last two first test impacts of the specified sample impact point includes: determining the detection standard based on the first average value of the specified sample frequency domain feature quantity.

[0014] In some embodiments, the designated sample tamping point includes multiple tamping points, and the designated sample frequency domain feature quantity includes multiple sets of sample frequency domain feature quantities corresponding to the multiple tamping points. Each set of frequency domain feature quantities includes the sample frequency domain feature quantity corresponding to the last two first test tamping blows for each of the multiple tamping points, and the first average value is the average value of the multiple sets of sample frequency domain feature quantities.

[0015] In some embodiments, determining the detection standard based on a first average value of the specified sample frequency domain feature includes: determining a first variance of the specified sample frequency domain feature; and determining the first average value as the detection standard in response to the first variance being less than or equal to a fourth threshold.

[0016] In some embodiments, the detection method further includes: determining a second variance between the specified sample frequency domain feature quantity and the frequency domain feature quantity corresponding to each impact; and updating the detection standard based on the detection result of the impact quality of the target impact point, the specified sample frequency domain feature quantity, and the frequency domain feature quantity corresponding to each impact, in response to the second variance being less than or equal to a fifth threshold.

[0017] In some embodiments, determining the detection standard based on the specified sample frequency domain feature quantities corresponding to the last two first test impacts of the specified sample compaction point includes: determining the detection standard based on a first average value of the specified sample frequency domain feature quantities; updating the detection standard based on the detection result of the compaction quality of the target compaction point, the specified sample frequency domain feature quantities, and the frequency domain feature quantities corresponding to each impact includes: updating the detection standard based on the first average value and a second average value of the frequency domain feature quantities corresponding to each impact in response to the detection result of the compaction quality of the target compaction point being qualified.

[0018] In some embodiments, the detection method further includes: in response to the second variance being greater than the fifth threshold, performing multiple second test tamping blows on each of the plurality of second sample tamping points in the target area; obtaining the sample frequency domain feature quantity corresponding to each second test tamping blow for each second sample tamping point, and obtaining the amount of settlement formed by each second test tamping blow on each second sample tamping point; performing correlation analysis on the sample frequency domain feature quantity and the amount of settlement corresponding to each second test tamping blow for each second sample tamping point to determine a second correlation index; and in response to the second correlation index being greater than the second threshold, updating the detection standard according to the sample frequency domain feature quantity corresponding to each second test tamping blow for each second sample tamping point.

[0019] In some embodiments, detecting the impact quality of the target impact point based on the frequency domain feature quantity corresponding to each impact and the impact quality detection standard corresponding to the target area includes: detecting the impact quality of the target impact point based on the frequency domain feature quantity corresponding to each impact and the updated detection standard.

[0020] In some embodiments, detecting the tamping quality of the target tamping point based on the frequency domain feature quantity corresponding to each tamping blow and the tamping quality detection standard corresponding to the target area includes: determining that the tamping quality of the target tamping point is qualified in response to at least two consecutive tamping blows in the multiple tamping blows meeting the detection standard; and determining that the tamping quality of the target tamping point is unqualified in response to at least two consecutive tamping blows not meeting the detection standard.

[0021] In some embodiments, performing frequency domain transformation on the time-domain acceleration signal to obtain the acceleration spectrum corresponding to the time-domain acceleration signal includes: truncating the time-domain acceleration signal according to a specified sampling frequency and number of sampling points to obtain a signal segment containing the peak value of the time-domain acceleration signal; and performing frequency domain transformation on the signal segment to obtain the acceleration spectrum corresponding to the time-domain acceleration signal.

[0022] According to some embodiments of this disclosure, a method for determining a test standard for compaction quality is provided, comprising: performing multiple first test compactions on each of a plurality of first sample compaction points in the target area; acquiring sample time-domain acceleration signals generated by each first test compaction of each first sample compaction point in the multiple first test compactions, and acquiring the compaction settlement formed by each first test compaction of each first sample compaction point; performing frequency domain transformation on the sample time-domain acceleration signals to obtain a sample acceleration spectrum corresponding to the sample time-domain acceleration signals; determining a sample frequency domain feature quantity corresponding to each first test compaction of each first sample compaction point based on the maximum acceleration amplitude in the sample acceleration spectrum and the acceleration amplitude corresponding to each specified frequency of the plurality of samples; performing correlation analysis on the sample frequency domain feature quantity and compaction settlement corresponding to each first test compaction of each first sample compaction point to determine a first correlation index; and determining a test standard for compaction quality corresponding to the target area based on the sample frequency domain feature quantity corresponding to each first test compaction of each first sample compaction point when the first correlation index is greater than a second threshold.

[0023] In some embodiments, determining the detection standard based on the sample frequency domain feature quantity corresponding to each first test tamping point of each first sample tamping point includes: determining the first sample tamping point whose tamping settlement amount formed by the last two first test tampings in the multiple first test tampings is less than or equal to a third threshold as a designated sample tamping point; and determining the detection standard based on the designated sample frequency domain feature quantity corresponding to the last two first test tampings of the designated sample tamping point.

[0024] In some embodiments, determining the detection standard based on the specified sample frequency domain feature quantity corresponding to the last two first test impacts of the specified sample impact point includes: determining the detection standard based on the first average value of the specified sample frequency domain feature quantity.

[0025] In some embodiments, the designated sample tamping point includes multiple tamping points, and the designated sample frequency domain feature quantity includes multiple sets of sample frequency domain feature quantities corresponding to the multiple tamping points. Each set of frequency domain feature quantities includes the sample frequency domain feature quantity corresponding to the last two first test tamping blows for each of the multiple tamping points, and the first average value is the average value of the multiple sets of sample frequency domain feature quantities.

[0026] In some embodiments, determining the detection standard based on a first average value of the specified sample frequency domain feature includes: determining a first variance of the specified sample frequency domain feature; and determining the first average value as the detection standard in response to the first variance being less than or equal to a fourth threshold.

[0027] In some embodiments, obtaining the settlement amount formed by each first sample tamping point in each first test tamping includes: acquiring multiple settlement amount detection parameters for each first test tamping using a settlement amount detection device; determining the settlement amount formed by each first sample tamping point in each first test tamping based on the multiple settlement amount detection parameters, wherein the settlement amount detection device includes a telescopic component and a detection component, a support component, and a drive component connected to the telescopic component, the drive component being used to drive the telescopic component to switch from a retracted state to an extended state, the support component being used to switch from a retracted state to an extended state following the switch of the telescopic component from a retracted state to an extended state, and the detection component being used to swing horizontally in a plane parallel to the target area when the telescopic component is in the extended state, to measure a first distance between the tamping hammer and the ground before each first test tamping, the included angle of the horizontal swing of the detection component, and a second distance between the detection component and the ground, wherein the multiple settlement amount detection parameters include the first distance, the included angle, and the second distance.

[0028] According to some embodiments of this disclosure, a device for detecting compaction quality is provided, comprising: an acquisition module configured to acquire time-domain acceleration signals generated by target compaction points in a target area during multiple compaction operations; a frequency-domain transformation module configured to perform frequency-domain transformation on the time-domain acceleration signals to obtain an acceleration spectrum corresponding to the time-domain acceleration signals; a determination module configured to determine a frequency-domain feature quantity corresponding to each compaction operation based on the maximum acceleration amplitude in the acceleration spectrum and the acceleration amplitude corresponding to each of a plurality of specified frequencies in the acceleration spectrum; and a detection module configured to detect the compaction quality of the target compaction points based on the frequency-domain feature quantity corresponding to each compaction operation and a compaction quality detection standard corresponding to the target area.

[0029] According to further embodiments of this disclosure, an apparatus for determining a test standard for compaction quality is provided, comprising: a test compaction module configured to perform multiple first test compactions on each of a plurality of first sample compaction points in a target area; an acquisition module configured to acquire a sample time-domain acceleration signal generated by each first test compaction of each first sample compaction point during the multiple first test compactions, and to acquire the compaction settlement formed by each first test compaction of each first sample compaction point; and a frequency domain transformation module configured to perform a frequency domain transformation on the sample time-domain acceleration signal to obtain a sample acceleration spectrum corresponding to the sample time-domain acceleration signal. The first determining module is configured to determine the sample frequency domain feature quantity corresponding to each first test tamping of each first sample tamping point based on the maximum acceleration amplitude in the sample acceleration spectrum and the acceleration amplitude corresponding to each specified frequency of the multiple samples; the analysis module is configured to perform correlation analysis on the sample frequency domain feature quantity and the tamping amount to determine a first correlation index; the second determining module is configured to determine the tamping quality detection standard corresponding to the target area based on the sample frequency domain feature quantity corresponding to each first test tamping of each first sample tamping point in response to the first correlation index being greater than a second threshold.

[0030] According to further embodiments of the present disclosure, an electronic device is provided, including: a memory; and a processor coupled to the memory, the processor being configured to execute the detection method or determination method of any of the above embodiments based on instructions stored in the memory device.

[0031] According to some embodiments of this disclosure, a dynamic compaction machine is provided, including the detection device and determination device of any of the above embodiments.

[0032] According to some embodiments of the present disclosure, a computer-readable storage medium is provided, having stored thereon computer instructions that, when executed by a processor, implement the detection method or determination method in any of the above embodiments.

[0033] According to some embodiments of this disclosure, a computer program product is also provided, including instructions that, when executed by a processor, cause the processor to perform a detection method or determination method according to any of the foregoing embodiments.

[0034] In the above embodiments, based on the maximum acceleration amplitude in the acceleration spectrum corresponding to the time-domain acceleration signal generated by each impact on the target compaction point, and the acceleration amplitude corresponding to each of the multiple specified frequencies, the frequency domain characteristic quantity corresponding to each impact is determined. Then, the compaction quality of the target compaction point is detected based on this frequency domain characteristic quantity. Thus, since the maximum acceleration amplitude in the acceleration spectrum and the acceleration amplitude corresponding to each of the multiple specified frequencies can comprehensively reflect the energy distribution during the compaction process, performing spectral analysis based on these data to detect the compaction quality can effectively improve the reliability of compaction quality detection. Moreover, this method eliminates the need for manual detection of the compaction settlement after each impact, improving the efficiency of compaction quality detection. Attached Figure Description

[0035] The accompanying drawings, which form part of this specification, illustrate embodiments of this disclosure and, together with the specification, serve to explain the principles of this disclosure.

[0036] This disclosure will become clearer with reference to the accompanying drawings and the following detailed description, wherein:

[0037] Figure 1 A flowchart illustrating a method for detecting the compaction effect according to some embodiments of the present disclosure is shown.

[0038] Figure 2 A schematic diagram showing an acceleration spectrum according to some embodiments of the present disclosure;

[0039] Figure 3 A flowchart illustrating a method for determining the test standard of impact quality according to some embodiments of the present disclosure is shown.

[0040] Figure 4 A schematic diagram of a settlement detection device when the telescopic component is in a retracted state, according to some embodiments of the present disclosure, is shown.

[0041] Figure 5 and Figure 6 A schematic diagram of a settlement detection device is shown when the telescopic component is in the deployed state according to different embodiments of the present disclosure.

[0042] Figure 7 A partial structural schematic diagram of a settlement detection device according to some embodiments of the present disclosure is shown;

[0043] Figure 8 A partial structural schematic diagram of a drive component according to some embodiments of the present disclosure is shown;

[0044] Figure 9 A partial structural schematic diagram of a detection component according to some embodiments of the present disclosure is shown;

[0045] Figure 10 A block diagram of an apparatus for detecting impact quality according to some embodiments of the present disclosure is shown;

[0046] Figure 11 A block diagram of an apparatus for determining the testing criteria for impact quality according to some embodiments of the present disclosure is shown;

[0047] Figure 12 A block diagram of an electronic device according to some embodiments of the present disclosure is shown;

[0048] Figure 13 Block diagrams of electronic devices according to other embodiments of the present disclosure are shown;

[0049] Figure 14 A schematic diagram of the structure of a dynamic compaction machine according to some embodiments of the present disclosure is shown;

[0050] Figure 15 A schematic diagram of the structure of a tamping hammer according to some embodiments of the present disclosure is shown. Detailed Implementation

[0051] Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of the present disclosure.

[0052] At the same time, it should be understood that, for ease of description, the dimensions of the various parts shown in the accompanying drawings are not drawn according to actual scale.

[0053] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit this disclosure or its application or use.

[0054] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and equipment should be considered part of the specification.

[0055] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values.

[0056] It should be noted that similar labels and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be discussed further in subsequent figures.

[0057] As mentioned earlier, in related technologies, the compaction quality of a target compaction point is judged by whether the manually measured settlement amount meets the industry-specified value. For example, multiple compaction operations are performed on the target compaction point. After each compaction operation, the settlement amount is measured manually, and the compaction quality of the target compaction point is judged based on whether the settlement amount of the last two compaction operations meets the industry-specified value.

[0058] However, this method requires a considerable amount of time to manually measure the settlement after each tamping, resulting in low efficiency in tamping quality detection. Furthermore, manual measurement of settlement is easily affected by errors in the position of the measuring ruler, leading to low reliability in settlement measurement and consequently, low reliability in tamping quality detection.

[0059] In response, the inventors of this disclosure have discovered through research that during the operation of a dynamic compaction machine tamping the ground (also known as compaction work), the collision between the hammer and the ground involves not only the rigid impact of the hammer itself, but also the structural vibration of the hammer, as well as the elastic and plastic deformation of the ground medium (such as sand or rock). The time-domain signal generated by this multi-degree-of-freedom collision process does not exhibit a single frequency distribution in the spectrum, but rather a broadband distribution covering multiple frequency components, including low frequencies (e.g., less than 10 Hz), mid frequencies (e.g., between 10 Hz and 100 Hz), and high frequencies (e.g., greater than 100 Hz).

[0060] Among them, the low-frequency component mainly reflects the effect of the rigid impact of the rammer itself (such as the brief up-and-down bounce generated after the rammer performs the ramming) on ​​the foundation stiffness; the mid-frequency component mainly reflects the effect of the structural vibration of the rammer (such as the bending vibration of the rammer) and the vibration of the ground medium (such as the friction and elastic deformation between sand particles) on the foundation stiffness; the high-frequency component mainly reflects the effect of the instantaneous impact of the rammer hitting the ground (such as the plastic deformation generated at the moment the rammer contacts the ground) on the foundation stiffness.

[0061] Within this wide-band spectrum, there is a dominant frequency with the largest amplitude, which reflects the dynamic characteristics of the interaction between the hammer and the ground during compaction. For example, taking the foundation as soil, in the initial stage of compaction, due to the loose soil structure and low stiffness, the natural frequency of the hammer-foundation system is low, so the dominant frequency is mainly concentrated in the low-frequency range. As the number of blows increases, the overall density of the soil gradually increases under the impact of the hammer, resulting in a continuous increase in the stiffness of the foundation. This change is manifested in the frequency domain as the dominant frequency gradually shifting from low to high frequencies with the increase of the number of blows.

[0062] Through this frequency domain shift pattern of the dominant frequency, it can be seen that the ground stiffness is positively correlated with the dominant frequency; that is, the stronger the ground stiffness, the higher the dominant frequency.

[0063] It is evident that the frequency domain shift law of this dominant frequency effectively reflects the changes in dynamic characteristics during the compaction process and its impact on the foundation stiffness. Therefore, by using the dominant frequency to conduct spectral analysis of the compaction process to determine the testing standards for evaluating the compaction quality and to test the compaction quality, the reliability of compaction quality testing can be effectively improved.

[0064] In view of this, the present disclosure proposes a method for detecting compaction quality and a method for determining the corresponding detection standards, which can effectively improve the reliability of compaction quality detection. Moreover, this method eliminates the need for manual detection of the settlement amount formed after each compaction, thus improving the efficiency of compaction quality detection.

[0065] It should be noted that although the following description mainly focuses on the foundation as the soil body for technical solutions, those skilled in the art will understand that regardless of the medium contained in the foundation, the method proposed in this disclosure can be used to test the compaction quality and achieve the corresponding technical effects. This disclosure does not limit the application scenarios of the technical solutions.

[0066] Figure 1 A flowchart illustrating a method for detecting the compaction effect according to some embodiments of the present disclosure is shown.

[0067] like Figure 1 As shown, in step 110, the time-domain acceleration signal generated by the target ramming point in the target area during each ramming is obtained.

[0068] In some embodiments, the time-domain acceleration signal includes the instantaneous acceleration signal (also known as the impact acceleration signal) generated at the moment of each impact on the target tamping point. For example, an accelerometer can be used to collect the time-domain acceleration signal generated at each impact on the target tamping point.

[0069] It is understandable that the time-domain acceleration signal corresponds to each impact in the multiple impacts performed on the target tamping point. For example, during the process of multiple impacts on the target tamping point, multiple time-domain acceleration signals generated by the multiple impacts on the target tamping point can be obtained.

[0070] In step 120, the time-domain acceleration signal is transformed in the frequency domain to obtain the acceleration spectrum corresponding to the time-domain acceleration signal.

[0071] In some embodiments, the time-domain acceleration signal can be subjected to Fourier transform or wavelet transform to obtain the acceleration spectrum corresponding to the time-domain acceleration signal.

[0072] Taking the Fourier transform of the time-domain acceleration signal as an example, the time-domain acceleration signal can be truncated according to the specified sampling frequency and number of sampling points to obtain a signal segment containing the peak value of the time-domain acceleration signal. Then, the frequency domain transform of the signal segment is performed to obtain the acceleration spectrum corresponding to the time-domain acceleration signal.

[0073] It should be noted that the time-domain acceleration signal acquired during each impact is a transient, pulse-like acceleration signal, characterized by its short duration, concentrated energy, and a signal peak at the moment of impact. For effective frequency domain analysis, a segment containing this acceleration peak can be extracted as the object of frequency domain analysis. For example, centered on this peak point, a segment of signal data can be extracted forward and backward according to a specified number of sampling points to form a signal segment within a finite time window, which serves as the input for the subsequent Fourier transform.

[0074] Thus, since the peak value of the time-domain acceleration signal corresponds to the stage of most intense energy transfer during the contact between the hammer and the ground, the signal at this stage can fully reflect the main dynamic characteristics during the impact. Therefore, the acceleration spectrum obtained by frequency domain transformation of the signal segment containing the peak value of the time-domain acceleration signal can effectively reflect the dynamic response of the tamping process, providing a reliable data basis for the subsequent detection of the tamping quality and helping to improve the reliability of subsequent detection.

[0075] In step 130, the frequency domain characteristic quantity corresponding to each impact is determined based on the maximum acceleration amplitude in the acceleration spectrum corresponding to the time-domain acceleration signal and the acceleration amplitude corresponding to each specified frequency in the multiple specified frequencies of the acceleration spectrum.

[0076] In this disclosure, the dominant frequency refers to the frequency with the highest energy and amplitude when the spectrum contains multiple frequency components. For example, the frequency corresponding to the maximum acceleration amplitude in the acceleration spectrum is the dominant frequency in the acceleration spectrum.

[0077] It should be understood that for a target tamping point, performing one tamping operation can obtain a corresponding frequency domain feature, while performing multiple tamping operations can obtain multiple corresponding frequency domain feature values.

[0078] In some embodiments, each of the plurality of specified frequencies is different from the dominant frequency and is a multiple (e.g., an integer multiple) of the dominant frequency.

[0079] It should be noted that, as analyzed earlier, during the compaction process, the hammer-foundation system can be approximated as a nonlinear, multi-degree-of-freedom vibration system. Therefore, the impact response generated under the impact of the hammer covers various frequency components, including low, medium, and high frequencies. Setting multiple specified frequencies as multiples of the dominant frequency and analyzing the acceleration amplitude corresponding to the dominant frequency and each specified frequency allows the determined frequency characteristic quantities to more comprehensively reflect the energy distribution during the compaction process and more accurately reflect the dynamic characteristics of the compaction process, thus providing a reliable data foundation for subsequent testing of the compacted material quality.

[0080] In some embodiments, the acceleration amplitude corresponding to each of the multiple specified frequencies is different.

[0081] In some embodiments, the difference between the acceleration amplitudes corresponding to any two specified frequencies among a plurality of specified frequencies is greater than a specified threshold.

[0082] In other words, by selecting multiple frequencies with large differences in acceleration amplitude as specified frequencies, the different frequency components generated by the impact response can be covered as fully as possible in the frequency domain. This allows the determined frequency domain characteristics to effectively reflect the dynamic characteristics of the impact process, thereby helping to improve the reliability of subsequent detection.

[0083] In step 140, the impact quality of the target impact point is detected based on the frequency domain characteristic quantity corresponding to each impact and the impact quality detection standard corresponding to the target area.

[0084] In some embodiments, after obtaining the frequency domain feature quantity corresponding to each tamping blow, the tamping quality of the target tamping point can be detected based on whether the frequency domain feature quantity corresponding to at least two consecutive tamping blows exceeds the detection standard of the tamping quality corresponding to the target area.

[0085] For example, if the frequency domain characteristic quantity corresponding to at least two consecutive impacts in multiple impacts meets the detection standard for the impact quality of the target area, the impact quality of the target impact point is determined to be qualified; if the frequency domain characteristic quantity corresponding to the at least two consecutive impacts does not meet the detection standard for the impact quality of the target area, the impact quality of the target impact point is determined to be unqualified.

[0086] Here, if the frequency domain characteristics corresponding to at least two consecutive impacts satisfy the detection standard, it means that the frequency domain characteristics corresponding to each impact in the at least two impacts satisfy the detection standard. If the frequency domain characteristics corresponding to at least two consecutive impacts do not satisfy the detection standard, it means that at least one impact in the at least two impacts does not satisfy the detection standard.

[0087] Therefore, using the frequency domain features corresponding to at least two consecutive impacts to detect the impact quality can, on the one hand, effectively reduce misjudgments that may be caused by local errors in the signal, compared to using only the frequency domain features corresponding to a single impact as the basis for judgment; on the other hand, compared to using all the frequency domain features corresponding to multiple impacts as the basis for judgment, it can effectively reduce the impact of measurement noise that may be introduced on the detection results, thereby improving the reliability of the impact quality detection.

[0088] In some embodiments, at least two consecutive tamping blows in a series of tamping operations include the last two tamping blows in the series of tamping operations. For example, if both frequency domain feature quantities corresponding to the last two tamping blows exceed the detection standard, the tamping quality of the target tamping point is determined to be qualified; if at least one of the two frequency domain feature quantities corresponding to the last two tamping blows does not exceed the detection standard, the tamping quality of the target tamping point is determined to be unqualified.

[0089] Thus, as the number of tamping blows increases, the soil density increases, the foundation stiffness increases, and the dynamic response characteristics of the foundation tend to stabilize. Therefore, using the frequency domain characteristic quantities corresponding to the last two tamping blows to determine whether the tamping quality of the target tamping point is qualified can detect the tamping quality of the target tamping point when the stiffness of the foundation changes relatively stably, thereby improving the reliability of tamping quality detection.

[0090] In the above embodiments, the time-domain acceleration signal generated by each impact on the target point during multiple impacts is subjected to frequency-domain transformation to obtain the acceleration spectrum corresponding to the time-domain acceleration signal. Then, based on the maximum acceleration amplitude in the acceleration spectrum and the acceleration amplitude corresponding to each specified frequency among multiple specified frequencies, the frequency-domain feature quantity corresponding to each impact is determined, and the impact quality of the target point is detected based on the frequency-domain feature quantity.

[0091] In this way, since the maximum acceleration amplitude in the acceleration spectrum and the acceleration amplitude corresponding to each specified frequency can comprehensively reflect the energy distribution during the compaction process, performing spectrum analysis based on this data to detect the compaction quality can effectively improve the reliability of compaction quality detection. Moreover, this method eliminates the need for manual detection of the settlement formed after each compaction, thus improving the efficiency of compaction quality detection.

[0092] The following examples further illustrate the methods for determining frequency domain features.

[0093] In some embodiments, a weighted sum of acceleration amplitudes corresponding to each of a plurality of specified frequencies can be determined, and then the frequency domain characteristic quantity corresponding to each impact can be determined based on the ratio of the weighted sum to the maximum acceleration amplitude in the acceleration spectrum. For example, the weighting coefficients for the acceleration amplitudes corresponding to each specified frequency can be the same or different.

[0094] For example, the frequency domain characteristic quantity corresponding to the m-th impact can be determined according to the following formula. :

[0095]

[0096] in, This represents the acceleration amplitude corresponding to the k-th specified frequency among the n specified frequencies selected in the acceleration spectrum of the m-th impact. This represents the weighting coefficient for the acceleration amplitude corresponding to the k-th specified frequency. Let n represent the maximum acceleration amplitude of the acceleration spectrum of the m-th impact (i.e., the acceleration amplitude corresponding to the dominant frequency in the acceleration spectrum), where n is a natural number greater than or equal to 2 and m is a natural number greater than or equal to 1.

[0097] Figure 2 A schematic diagram showing an acceleration spectrum according to some embodiments of the present disclosure is provided.

[0098] like Figure 2 As shown, Figure 2 The diagram schematically illustrates the acceleration spectrum corresponding to the time-domain acceleration signal generated by each of the 12 tamping strikes on a target point.

[0099] exist Figure 2 In the example shown, the dominant frequency in the acceleration spectrum is 2.44 Hz. Six specified frequencies (n=6) are selected: 4.88 Hz, 7.32 Hz, 9.77 Hz, 12.22 Hz, 14.65 Hz, and 17.09 Hz. These frequencies are integer multiples of 2.44 Hz, covering the main energy distribution range from low to high frequencies. Figure 2 Each curve shown represents the trend of acceleration amplitude at a certain frequency as a function of the number of impacts.

[0100] For example, based on the above formula, the frequency domain characteristic corresponding to the m-th impact can be expressed as:

[0101] =A 4.88Hz *Q1+A 7.32Hz *Q2+A 9.77Hz *Q3+A12.22Hz *Q4+A 14.65Hz *Q5+A 17.09Hz *Q6) / A 2.44Hz Where Q1 to Q6 are the corresponding weighting coefficients.

[0102] As analyzed earlier, the impact response generated by the tamping hammer covers a variety of different frequency components, including low, medium, and high frequencies, and the influence of different frequency components on the foundation stiffness varies. In other words, the enhancement of foundation stiffness by the tamping process is the result of the combined effect of multiple frequency components, and the acceleration amplitude of a single frequency cannot reflect the synergistic contribution of the energy generated by multiple frequency components to the foundation stiffness.

[0103] Therefore, by assigning corresponding weights to the acceleration amplitudes corresponding to different specified frequencies, and then weighting and summing the acceleration amplitudes corresponding to multiple specified frequencies according to their respective weights, and determining the ratio between this weighted sum and the maximum acceleration amplitude, the relative energy contribution of different frequency components in the process of foundation stiffness variation can be quantified. In this way, the frequency domain characteristic quantity corresponding to each compaction blow, determined based on this ratio, accurately reflects the change in the dynamic characteristics of foundation stiffness during each compaction blow. This transforms the complex impact response behavior during each compaction blow into a quantifiable and comparable parameter, providing a scientific and objective basis for the detection of compaction quality and improving the reliability of compaction quality testing.

[0104] For example, combining Figure 2 It can be seen that when multiple impacts are applied to the same point, the acceleration amplitude decreases with increasing frequency in each impact. As the number of impacts increases, the acceleration amplitude of high-frequency components (e.g., 7.32Hz, 9.77Hz, 12.22Hz and above) gradually increases and approaches the peak acceleration value (i.e., maximum acceleration amplitude) of the dominant frequency, indicating that the proportion of high-frequency vibration energy in the impact response is continuously increasing.

[0105] By calculating the ratio of the weighted sum of acceleration amplitudes at multiple specified frequencies to the maximum acceleration amplitude as a frequency domain characteristic, the influence of single-impact energy fluctuations can be eliminated, and the increasing trend of high-frequency energy proportion can be effectively amplified. Therefore, by calculating the ratio of the weighted sum of acceleration amplitudes at each specified frequency to the maximum acceleration amplitude, the changing trend of foundation stiffness can be effectively reflected, i.e., from the initial low-frequency dominance to the coordinated response of mid- and high-frequency frequencies, verifying the rationality and effectiveness of determining the frequency domain characteristic using this ratio.

[0106] Furthermore, based on the construction quality requirements of the project, the weights of the acceleration amplitudes corresponding to each specified frequency can be flexibly adjusted to flexibly adjust the energy proportions of different frequency components, thereby forming a quantitative indicator for evaluating whether the compaction quality meets the construction quality requirements, and guiding project decision-making.

[0107] For example, if an engineering project requires "reducing the risk of over-compaction of the foundation surface" in terms of construction quality, then the weight of the acceleration amplitude corresponding to the high-frequency components can be set to 0.1, the weight of the acceleration amplitude corresponding to the mid-frequency components to 0.6, and the weight of the acceleration amplitude corresponding to the low-frequency components to 0.3. This weakens the influence of high-frequency components on the stiffness of the foundation surface and increases the influence of mid- and low-frequency components on the deeper layers of the foundation. Therefore, if the ratio calculated using the above method is greater than or equal to 60%, it indicates that the energy during the compaction process is mainly concentrated in the mid- and low-frequency components, indicating no risk of over-compaction of the foundation surface. If the ratio calculated using the above method is less than 60%, it indicates that the energy during the compaction process is dispersed towards the high-frequency components, indicating a risk of over-compaction of the foundation surface, and compaction should be stopped.

[0108] The following examples further illustrate the methods for acquiring time-domain acceleration signals.

[0109] In some embodiments, a first distance between the tamping hammer and the ground before each tamping blow in multiple tamping operations is determined based on the gravitational acceleration signal of the tamping hammer during free fall; in response to the first distance being greater than or equal to a first threshold, the instantaneous acceleration signal generated by the tamping hammer at the moment of the tamping target point is acquired as a time-domain acceleration signal.

[0110] For example, the first distance h m (t) Where g is the acceleration due to gravity of the hammer during free fall, and t is the total duration of the hammer's free fall. For example, t = t m -t0, where t m t0 is the moment when the hammer contacts the ground, and t0 is the moment when the hammer is released.

[0111] Thus, considering that the rammer undergoes different dynamic stages during the tamping process, such as the free fall stage and the impact stage upon contact with the ground, the acceleration signals differ between these stages. During the free fall stage, the rammer is mainly affected by gravity, and its acceleration signal primarily consists of gravitational acceleration. However, during the instantaneous impact stage upon contact with the ground, the acceleration rises rapidly, forming a short-duration, high-amplitude instantaneous acceleration signal, which reflects the transfer process of impact energy.

[0112] The height to which the hammer is lifted (i.e., the first distance between the hammer and the ground) is calculated using the gravitational acceleration signal during the free fall phase. If the height to which the hammer is lifted is greater than or equal to a set first threshold, it is determined that the impact has sufficient impact energy to meet the mechanical conditions for effective compaction. Therefore, the impact can be recorded as an effective impact, and the instantaneous acceleration signal generated by the hammer at the moment of impact on the target compaction point is collected as the time-domain acceleration signal used for subsequent frequency domain analysis of the impact phase.

[0113] In this approach, by distinguishing and processing the acceleration signals of different dynamic stages during the tamping process, the impact stage can be accurately identified and located. Furthermore, by setting a first threshold to determine the height to which the tamping hammer is lifted, the adverse effects of invalid tamping caused by insufficient lifting height (such as the tamping hammer not being fully lifted to the specified height or being released prematurely) being included in the tamping quality detection are reduced. This provides an objective and reliable data basis for subsequent frequency domain analysis and improves the reliability of the detection results.

[0114] Next, the determination method of the testing standard for the solid material quality proposed in this disclosure will be illustrated by way of example with some embodiments.

[0115] Figure 3 A flowchart illustrating a method for determining the testing criteria for impact quality according to some embodiments of the present disclosure is shown.

[0116] like Figure 3 As shown, in step 310, multiple first test tampings are performed on each of the multiple first sample tamping points in the target area.

[0117] In step 320, the sample time-domain acceleration signal generated by each first sample tamping point in each first test tamping is obtained, and the tamping settlement formed by each first sample tamping point in each first test tamping is obtained.

[0118] Settlement refers to the instantaneous settlement (e.g., in centimeters (cm)) that occurs when a tamping hammer falls freely from a certain height and impacts the foundation during dynamic compaction. Settlement reflects the degree of compression deformation of the soil under the impact of the tamping hammer and can be used as an indicator to evaluate the compaction effect of the foundation. Those skilled in the art will understand that settlement for each first test impact can be obtained using various methods (e.g., methods in related technologies).

[0119] In step 330, the sample time-domain acceleration signal is transformed in the frequency domain to obtain the sample acceleration spectrum corresponding to the sample time-domain acceleration signal.

[0120] In step 340, the sample frequency domain characteristic quantity corresponding to each first test impact of each first sample impact point is determined based on the maximum acceleration amplitude in the sample acceleration spectrum and the acceleration amplitude corresponding to each specified frequency of multiple samples.

[0121] It should be understood that steps 310 to 340 are related to... Figure 1 The implementation of steps 110 to 130 is similar. For details, please refer to the description in the relevant embodiments above, which will not be repeated here.

[0122] In step 350, a correlation analysis is performed on the sample frequency domain characteristic quantity and the compaction amount corresponding to each first test impact at each first sample compaction point to determine the first correlation index between the sample frequency domain characteristic quantity and the compaction amount.

[0123] For example, for each first sample compaction point, each first test compaction will yield a corresponding sample frequency domain feature and a compaction amount.

[0124] For each first sample compaction point, the sample frequency domain characteristic quantity and compaction settlement amount corresponding to each first test compaction are used as a set of test data for that first sample compaction point. After multiple first test compaction, multiple sets of test data for that first sample compaction point can be obtained. Treating these multiple sets of test data for each first sample compaction point as a single sample data set, after performing multiple first test compaction on each of the multiple first sample compaction points, multiple sets of sample data corresponding to the multiple first sample compaction points can be obtained. Correlation analysis is then performed based on these multiple sets of sample data to determine the first correlation index between the sample frequency domain characteristic quantity and the compaction settlement amount. For example, these multiple sets of sample data can be input into a correlation analysis model (such as a neural network model) to determine the first correlation index.

[0125] In step 360, in response to the first correlation index being greater than the second threshold, the detection standard for the tamping quality of the target area is determined based on the sample frequency domain feature quantity corresponding to each first test tamping point of each first sample tamping point.

[0126] For example, a second threshold can be set to 0.95. If the first correlation index r is greater than 0.95, it indicates a strong correlation between the sample frequency domain features and the compaction settlement. This shows that the obtained sample frequency domain features can effectively reflect the change in foundation stiffness after compaction and can replace the compaction settlement as a detection indicator of compaction quality.

[0127] In the above embodiments, multiple first test compaction points are performed on each of the multiple first sample compaction points in the target area, and correlation analysis is performed on the sample frequency domain characteristic quantity and compaction amount corresponding to each first test compaction point to determine a first correlation index. If the first correlation index meets the requirements, the detection standard for the compaction quality corresponding to the target area is determined based on the sample frequency domain characteristic quantity corresponding to each first test compaction point.

[0128] In this approach, by performing correlation analysis between frequency domain characteristic quantities and compaction volume, and ensuring that the obtained sample frequency domain characteristic quantities can stably and reliably reflect the changes in foundation stiffness, a compaction quality testing standard suitable for the geological conditions of the target area is established based on the sample frequency domain characteristic quantities obtained from multiple first-test compaction blows on the first sample compaction point. Thus, the established testing standard has high reliability.

[0129] In some embodiments, different detection standards are used for different target areas.

[0130] In this approach, considering the differences in geological conditions (such as soil type) across different target areas, the impact responses generated by the tamping hammer will vary. Therefore, based on the tamping test data of each region, a testing standard adapted to each region is established. Using this regional testing standard to test the compaction quality, compared to using a fixed universal standard, allows for consideration of the geological conditions and actual working conditions of each region during the testing process. This reduces misjudgments caused by the mismatch between universal standards and local geology, thereby effectively improving the reliability of compaction quality testing.

[0131] The determination method of the detection standard in step 360 will be further explained below with reference to some embodiments.

[0132] In some embodiments, the first sample compaction point in which the compaction settlement amount formed by the last two first test compaction blows in multiple first test compaction blows is less than or equal to a third threshold is determined as a designated sample compaction point. Based on the designated sample frequency domain characteristic quantity corresponding to the last two first test compaction blows of the designated sample compaction point, the detection standard for the compaction settlement quality corresponding to the target area is determined. For example, the third threshold can be a specified value set according to industry standards.

[0133] It should be understood that each first test tamping blow results in one settlement. The settlement resulting from the last two first test tamping blows includes the two settlement values ​​corresponding to the last two first test tamping blows.

[0134] Considering that industry standards determine the quality of compaction by whether the settlement of the last two compaction blows is less than or equal to a specified value, this disclosure proposes a method for determining the testing standard. This method uses industry standards as a benchmark, selecting designated sample compaction points from multiple first-sample compaction points whose settlement meets the industry standards. The frequency domain characteristics corresponding to the last two first-test compaction blows of these designated sample compaction points are then used as the data basis for the determined testing standard. This provides a clear regulatory basis for the established testing standard, ensuring its effectiveness and rationality, thereby improving the reliability of compaction quality testing.

[0135] In some embodiments, the detection standard for the compacted mass quantity corresponding to the target area is determined based on the first average value of the frequency domain characteristic quantities of the specified sample corresponding to the last two first test compaction blows at the specified sample compaction point. For example, the first average value can be used as the detection standard for the compacted mass quantity corresponding to the target area.

[0136] In some embodiments, the designated sample impact points include multiple impact points, and the designated sample frequency domain feature quantities include multiple sets of sample frequency domain feature quantities corresponding to the multiple impact points. Each set of frequency domain feature quantities includes the sample frequency domain feature quantity corresponding to the last two first test impacts for each of the multiple impact points. Thus, the first average value is the average of the multiple sets of sample frequency domain feature quantities. That is, when there are multiple designated sample impact points, the first average value used to determine the detection standard is the average of the sample frequency domain feature quantities corresponding to the last two first test impacts for all designated sample impact points.

[0137] For example, the specified sample compaction points include 10 compaction points. The specified sample frequency domain features include 10 sets of sample frequency domain features corresponding one-to-one with the 10 compaction points. Each set of frequency domain features includes two sample frequency domain features corresponding to the last two first test compaction blows of one of the 10 compaction points. That is, the specified sample frequency domain features include 20 sample frequency domain features. The first average value of the specified sample frequency domain features is the average value of these 20 sample frequency domain features.

[0138] In this approach, by averaging the frequency domain characteristics of the specified sample corresponding to the last two first test blows at the specified sample tamping point, the random errors that may be caused by a single test blow are reduced, making the determined detection standard more stable and reliable.

[0139] In some embodiments, a first variance of a specified sample frequency domain feature quantity is determined, and in response to the first variance being less than or equal to a fourth threshold, a first average value is determined as the detection standard for the solid mass quantity corresponding to the target region.

[0140] For example, the first variance The following formula can be used for calculation:

[0141]

[0142] Where b represents the number of frequency domain features of the specified sample (e.g., b=20 in the example above). This represents the frequency domain feature of the i-th specified sample. This represents the first average value.

[0143] In this approach, a smaller first variance of the specified sample frequency domain characteristic quantity indicates higher data stability of the specified sample frequency domain characteristic quantity. Thus, the first average value can more accurately characterize the state of the compaction point where the compaction quality is qualified. Therefore, when the first variance of the specified sample frequency domain characteristic quantity is small, the first average value is determined as the detection standard, which improves the reliability of the detection standard.

[0144] In some embodiments, after determining the detection standard, the detection standard can be updated based on new sample frequency domain features obtained during the detection of the impact quality of the target impact point. For example, the new sample frequency domain features include the frequency domain features corresponding to each impact obtained in step 130.

[0145] In some embodiments, a second variance of the frequency domain feature quantity of the specified sample and the frequency domain feature quantity corresponding to each impact is determined; in response to the second variance being less than or equal to a fourth threshold, the detection standard is updated based on the detection result of the impact quality of the target impact point, the frequency domain feature quantity of the specified sample, and the frequency domain feature quantity corresponding to each impact.

[0146] Considering that geological conditions (such as soil type) may change during construction compared to the testing phase, leading to significant differences between the construction data used to test compaction quality and the sample data used to determine testing standards, continuing to use the previously determined testing standards would adversely affect the reliability of compaction quality testing. Therefore, the testing standards can be dynamically updated using the frequency domain characteristics obtained after each compaction of the target compaction point.

[0147] For example, the second variance between the frequency domain characteristic quantity of the specified sample and the frequency domain characteristic quantity obtained after each tamping of the target tamping point can be calculated in real time after each tamping to assess the degree of difference between the construction data of the target tamping point during construction and the sample data used to determine the testing standard during the test.

[0148] If the second variance is small, it indicates that the deviation between the construction data used to detect the compaction quality and the sample data used to determine the testing standard is small (i.e., the difference is small). This means that the impact response characteristics of the target compaction point during construction are more consistent with the impact response characteristics of the sample compaction point during the test. In this case, the frequency domain characteristics obtained in the target area during the construction phase can be used to dynamically update the testing standard corresponding to the target area. This enhances the adaptability of the testing standard to the actual working conditions of the target area, thereby improving the reliability of the testing standard and contributing to the reliability of compaction quality testing.

[0149] In some embodiments, in response to the detection result of the impact quality of the target impact point being qualified, the detection standard is updated based on the first average value and the second average value of the frequency domain characteristic quantity corresponding to each impact.

[0150] For example, the frequency domain features of specified samples extracted during the determination of testing standards can be stored in a database. Then, during the actual compaction operation, after testing the compaction quality of the target compaction point, if the compaction quality of the target compaction point is determined to be qualified, the frequency domain features corresponding to each compaction of the target compaction point are also stored in the database, and the second variance of all frequency domain features in the database is calculated. If the second variance is small, the testing standard is updated based on the second average value of all frequency domain features stored in the database. For example, the second average value can be used as the new testing standard for the target area, replacing the original testing standard.

[0151] In this way, by continuously accumulating and solidifying qualified frequency domain characteristic quantities as analytical data for determining testing standards, the testing standards can be continuously integrated with qualified construction data from actual solidification operations, further improving the adaptability of the testing standards to actual working conditions, thereby further improving the reliability of the testing standards.

[0152] In some embodiments, the third threshold and the fourth threshold can be the same. Maintaining consistent data requirements during the determination and updating of testing standards helps improve the reliability of the testing standards.

[0153] In some embodiments, in response to a second variance being greater than a fifth threshold, multiple second sample tamping points, different from the multiple first sample tamping points, can be selected in the target area to re-execute multiple second test tampings, so as to update the detection standard based on the frequency domain feature quantities obtained in the multiple second test tampings.

[0154] For example, updating the detection standard based on the frequency domain characteristics obtained from multiple second test impacts can be achieved by following steps S1 to S4.

[0155] In step S1, multiple second test tampings are performed on each of the multiple second sample tamping points in the target area.

[0156] In step S2, the sample frequency domain feature quantity corresponding to each second test tamping of each second sample tamping point is obtained, and the tamping amount formed by each second test tamping of each second sample tamping point is obtained.

[0157] It should be understood that in step S2, the method for obtaining the sample frequency domain characteristic quantity and settlement amount corresponding to each second test tamping at each second sample tamping point can be as follows: Figure 3 The steps 320 to 340 shown, which involve obtaining the sample frequency domain feature quantity and the compaction amount corresponding to each first test impact of each first sample compaction point, are implemented in a similar manner. For details, please refer to the description in the relevant embodiments above, which will not be repeated here.

[0158] In step S3, a correlation analysis is performed on the sample frequency domain characteristic quantity and the amount of compaction corresponding to each second test impact at each second sample compaction point to determine the second correlation index.

[0159] It should be understood that in step S3, the second correlation index can be determined in accordance with... Figure 3 The method for determining the first correlation index in step 350 is similarly implemented. For details, please refer to the descriptions in the relevant embodiments above, which will not be repeated here.

[0160] In step S4, in response to the second correlation index being greater than the second threshold, the detection standard is updated according to the sample frequency domain feature quantity corresponding to each second test tamping of each second sample tamping point.

[0161] Following the previous analysis, a large second variance indicates a significant deviation between the construction data used to test the compaction quality and the sample data used to determine the testing standard. This means the impact response characteristics of the target compaction point during construction do not match those of the sample compaction points during the test. In this case, continuing to use the previously determined testing standard will negatively impact the reliability of the compaction quality testing. Therefore, multiple second sample compaction points can be selected in the target area for multiple second-test compaction to collect new sample data and determine a revised testing standard suitable for the current geological conditions.

[0162] In this approach, the geological conditions of the target area can be assessed based on the second variance between the specified sample frequency domain characteristic quantity used to determine the original testing standard and the frequency domain characteristic quantity obtained after each tamping of the target tamping point. If the geological conditions change, the test can be repeated and the testing standard updated, thereby improving the reliability of the testing standard for detecting tamping quality in the target area and effectively improving the reliability of tamping quality testing.

[0163] In some embodiments, the second sample compaction point formed by the last two second test compaction blows in multiple second test compaction blows is determined as the new designated sample compaction point. Then, the updated detection standard is determined based on the designated sample frequency domain feature quantity corresponding to the last two second test compaction blows of the new designated sample compaction point.

[0164] In some embodiments, the updated detection standard can be determined based on the third average value of the frequency domain characteristics of the specified sample corresponding to the last two second test impacts of the new specified sample impact point.

[0165] It is understood that the methods described in the preceding embodiments for determining the testing standard through multiple first test impacts are also applicable to determining the updated testing standard through multiple second test impacts. In determining the updated testing standard, the methods described in the preceding embodiments can be similarly implemented to achieve the corresponding technical effects. Specific details can be found in the descriptions in the preceding embodiments and will not be repeated here.

[0166] In some embodiments, in response to a second variance being greater than a fifth threshold, the impact quality of the target impact point is detected based on the frequency domain feature quantity corresponding to each impact and the updated detection standard.

[0167] In this way, when the second variance is large, a more refined testing standard corresponding to the target area can be used to test the compaction quality of the target compaction point, so as to reduce the adverse effects on the reliability of the test results caused by continuing to use the original testing standard, thereby improving the reliability of compaction quality testing.

[0168] As analyzed above, this disclosure conducted a correlation analysis between the sample frequency domain characteristic quantity and the compaction amount in the process of determining the testing standard. However, the efficiency and accuracy of obtaining the compaction amount by manual measurement in related technologies are both low.

[0169] In view of this, this disclosure proposes a method for detecting compaction settlement and a corresponding compaction settlement detection device to quickly and accurately obtain the compaction settlement.

[0170] In some embodiments, a settlement detection device can be used to acquire multiple settlement detection parameters for each first test impact. Then, based on these multiple settlement detection parameters, the settlement amount formed at each first sample impact point in each first test impact can be determined. For example, the settlement detection device may include a detection component, and the multiple settlement detection parameters may include a first distance between the hammer and the ground before each first test impact, the angle of horizontal swing of the detection component, and a second distance between the detection component and the ground. The structure of the settlement detection device will be further described below with reference to some embodiments.

[0171] For example, for a certain first sample compaction point, the compaction settlement Sm formed by the m-th first test compaction is Sm = cosα × (h m -h m-1 -(L m -L0), where h m h represents the initial distance between the tamping hammer and the ground before the m-th test tamping (i.e., this first test tamping). m-1 The distance between the tamping hammer and the ground before the (m-1)th test tamping (i.e., the previous test tamping) is the first distance, α is the angle of the horizontal swing of the detection component, and L is the distance between the hammer and the ground. m To detect the second distance between the component and the ground, L0 represents the initial distance between the component and the ground before the first compaction begins (when no ground settlement has occurred).

[0172] It should be noted that the detection component itself may experience slight settlement or vibration during the compaction process. This can be addressed by calculating L. m -L0 allows us to obtain the displacement of the detected component relative to its initial position in the direction perpendicular to the ground. Based on this, introducing cosα to project and correct the measured values ​​of the detected component improves the accuracy of the displacement of the detected component relative to its initial position in the direction perpendicular to the ground. Thus, compared to the L-based method... m The manual measurement based on the assumption that all changes are determined by the settlement of the foundation improves the accuracy of the obtained settlement.

[0173] In some embodiments, the settlement detection device includes a telescopic component and a detection component, a support component, and a drive component connected to the telescopic component.

[0174] The drive component is used to drive the telescopic component to switch from a retracted state to an extended state. The support component is used to follow the telescopic component from a retracted state to an extended state. The detection component is used to swing horizontally in a plane parallel to the target area when the telescopic component is in the extended state, so as to measure the first distance between the hammer that performs each first test tamping blow and the ground, the angle of the horizontal swing of the detection component, and the second distance between the detection component and the ground.

[0175] In some embodiments, the settlement detection device may be installed in the dynamic compaction machine that performs the compaction operation.

[0176] Figure 4 A schematic diagram of a settlement detection device is shown when the telescopic component is in a retracted state, according to some embodiments of the present disclosure. Figure 5 and Figure 6 A schematic diagram of the settlement detection device is shown when the telescopic component is in the extended state according to different embodiments of the present disclosure.

[0177] like Figures 4 to 7 As shown, the settlement detection device 40 includes a support component 2, a telescopic component 3, a detection component 6, and a drive component 8, wherein... Figure 5 Region A schematically shows the drive component 8 connected to the telescopic component 3. Figure 5 Region B schematically shows the deployed state of the support member 2 connected to the telescopic member 3. Figure 6 A schematic top view of the settlement detection device 40 when the telescopic component 3 is in the deployed state is shown, wherein region C schematically shows the detection component 6 connected to the telescopic component 3.

[0178] Figure 7 A partial structural schematic diagram of a settling detection device according to some embodiments of the present disclosure is shown. Figure 7 schematically shown Figure 5 A magnified view of a portion of region B in the middle.

[0179] like Figure 7 As shown, the settlement detection device 40 includes a drive component 8 ( Figure 7 (Not shown), support component 2, telescopic component 3, and detection component 6.

[0180] The telescopic component 3 may include multiple telescopic arms connected by pins 3-1. The telescopic arms can move via pins 3-1 to switch between a retracted state and an extended state. For example, Figure 7 Two telescopic arms are schematically shown, cross-connected by pin 3-1.

[0181] Support component 2 includes a slide 2-1, a first damping component 2-2, and a second damping component 2-3. Figure 7 The second damping component 2-3 is schematically shown as a damping spring, the telescopic assembly 2-4 and the pulley 2-5.

[0182] The support component 2 is connected to the telescopic component 3 via a pin 3-1, which can move up and down in the slide 2-1. When the telescopic component 3 is in the retracted state, the pin 3-1 is located at the bottom of the slide 2-1, and the support component 2 is in the retracted state; when the telescopic component 3 is in the extended state, the pin 3-1 is located at the top of the slide 2-1, and the support component 2 is in the extended state.

[0183] For example, during the process of the telescopic arm in the telescopic component 3 switching from the retracted state to the extended state, the pin 3-1 can slide from the bottom of the slide groove 2-1 to the top, thereby causing the support component 2 to switch from the retracted state to the extended state; during the process of the telescopic arm in the telescopic component 3 switching from the extended state to the retracted state, the pin 3-1 can slide from the top of the slide groove 2-1 to the bottom, thereby causing the support component 2 to switch from the extended state to the retracted state.

[0184] Figure 8 A partial structural schematic diagram of a drive component according to some embodiments of the present disclosure is shown. Figure 8 schematically shown Figure 5 A magnified view of a portion of region A in the middle.

[0185] like Figure 8 As shown, the drive component 8 includes a drive cylinder 4, a mounting base 5, and a drive motor 4-1. One end of the drive cylinder 4 is connected to the mounting base 5, and the other end is connected to the telescopic component 3. The drive motor 4-1 drives the telescopic component 3 to reciprocate through the drive cylinder 4, so that the telescopic component 2 switches between a retracted state and an extended state. For example, the mounting base 5 can be installed on a dynamic compaction machine.

[0186] Figure 9 A partial structural schematic diagram of a detection component according to some embodiments of the present disclosure is shown. Figure 9 schematically shown Figure 6 A magnified view of a portion of region C in the middle.

[0187] like Figure 7 and Figure 9 As shown, the detection component 6 includes a tilt sensor 6-1, an ultrasonic ranging sensor 6-2, a real-time kinematic (RTK) sensor 6-3, a measuring rod 6-4, a swing motor 1, and a transition arm 7. The measuring rod 6-4 and the transition arm 7 are coaxially arranged, and the swing motor 1 is fixedly mounted on the measuring rod 6-4. The output shaft of the swing motor 1 is connected to the transition arm 7.

[0188] The swing motor 1 drives the measuring rod 6-4 to swing horizontally, which can be used to locate the position of the hammer.

[0189] The detection component 6 measures the height (i.e., the first distance) h that the ram is lifted by the ultrasonic ranging sensor 6-2. m The second distance L between the detection component and the ground is measured using the RTK sensor 6-3. m The angle α of the horizontal swing of the detection component is measured by the tilt sensor 6-1.

[0190] During the settlement detection process, the settlement detection device 40 drives the telescopic component 3 from a retracted state to an extended state via the drive component 8. During this transition, the detection component 6 automatically enters a horizontal measurement state and can swing horizontally within a plane parallel to the target area to measure multiple settlement detection parameters. Simultaneously, the pin 3-1 slides upwards from the bottom to the top of the groove 2-1, causing the support component 2 to switch from a retracted state to an extended state.

[0191] Based on the settlement detection device 40 in the above embodiment, during the unfolding of the telescopic component 3, the support component 2 can automatically unfold, allowing the pulleys 2-5 to fall onto the ground and drive the settlement detection device 40 to slide. In this way, the support component 2 can effectively support the telescopic component 2 during settlement detection. Furthermore, by incorporating the first damping component 2-2 and the second damping component 2-3 in the support component 2, the support component 2 can adapt to uneven ground conditions while supporting the telescopic component 3, ensuring the telescopic component 3 remains horizontally stable as much as possible, thereby improving the stability of the detection component 6. This contributes to improving the accuracy of the settlement detection parameters.

[0192] Figure 10 A block diagram of an apparatus for detecting impact quality according to some embodiments of the present disclosure is shown.

[0193] like Figure 10 As shown, the impact quality detection device 1000 includes an acquisition module 1001, a frequency domain transformation module 1002, a determination module 1003, and a detection module 1004.

[0194] The acquisition module 1001 can be configured to acquire the time-domain acceleration signal generated by the target ramming point in the target area during each of the multiple ramming operations.

[0195] The frequency domain transformation module 1002 can be configured to perform frequency domain transformation on the time domain acceleration signal to obtain the acceleration spectrum corresponding to the time domain acceleration signal.

[0196] The determining module 1003 can be configured to determine the frequency domain feature quantity corresponding to each impact based on the maximum acceleration amplitude in the acceleration spectrum and the acceleration amplitude corresponding to each specified frequency among a plurality of specified frequencies in the acceleration spectrum.

[0197] The detection module 1004 can be configured to detect the impact quality of the target impact point based on the frequency domain feature quantity corresponding to each impact and the impact quality detection standard corresponding to the target area.

[0198] In some embodiments, the impact quality detection device 1000 may also include other modules that perform other operations in the relevant embodiments of the detection method described above.

[0199] Figure 11 A block diagram of an apparatus for determining the testing criteria for impact quality according to some embodiments of the present disclosure is shown.

[0200] like Figure 11 As shown, the device 1100 for determining the test standard of compaction quality includes a test compaction module 1101, an acquisition module 1102, a frequency domain transformation module 1103, a first determination module 1104, an analysis module 1105, and a second determination module 1106.

[0201] The test tamping module 1101 can be configured to perform multiple first test tampings for each of a plurality of first sample tamping points in a target area.

[0202] The acquisition module 1102 can be configured to acquire the sample time-domain acceleration signal generated by each first sample tamping point in each of the multiple first test tampings, and to acquire the tamping settlement formed by each first sample tamping point in each of the first test tampings.

[0203] The frequency domain transformation module 1103 can be configured to perform frequency domain transformation on the sample time-domain acceleration signal to obtain the sample acceleration spectrum corresponding to the sample time-domain acceleration signal.

[0204] The first determining module 1104 can be configured to determine the sample frequency domain feature quantity corresponding to each first test impact of each first sample impact point based on the maximum acceleration amplitude in the sample acceleration spectrum and the acceleration amplitude corresponding to each specified frequency of the multiple samples.

[0205] The analysis module 1105 can be configured to perform correlation analysis on the sample frequency domain features and the compaction amount to determine a first correlation index.

[0206] The second determining module 1106 can be configured to, in response to the first correlation index being greater than the second threshold, determine the detection standard for the impact quality corresponding to the target area based on the sample frequency domain feature quantity corresponding to each first test impact of each first sample impact point.

[0207] In some embodiments, the apparatus 1100 for determining the impact quality testing standard may further include other modules that perform other operations in the relevant embodiments of the determination method described above.

[0208] Figure 12 A block diagram of an electronic device according to some embodiments of the present disclosure is shown.

[0209] like Figure 12 As shown, the electronic device 1200 of this embodiment includes a memory 1201 and a processor 1202 coupled to the memory 1201. The processor 1202 is configured to execute the method in any embodiment of this disclosure based on instructions stored in the memory 1201.

[0210] The memory 1201 may include, for example, system memory, fixed non-volatile storage media, etc. The system memory may store, for example, an operating system, application programs, a boot loader, a database, and other programs.

[0211] In some embodiments, the electronic device 1200 can serve as a method for detecting the impact quality of performing the operations of any of the above embodiments. In other embodiments, the electronic device 1200 can serve as a method for determining the detection standard for the impact quality of performing the operations of any of the above embodiments.

[0212] Figure 13 Block diagrams of electronic devices according to other embodiments of the present disclosure are shown.

[0213] like Figure 13 As shown, the electronic device 1300 of this embodiment includes: a memory 1301 and a processor 1302 coupled to the memory 1301, the processor 1302 being configured to execute the method of any of the foregoing embodiments based on instructions stored in the memory 1301.

[0214] The memory 1301 may include, for example, system memory, fixed non-volatile storage media, etc. The system memory may store, for example, an operating system, application programs, a boot loader, and other programs.

[0215] Electronic device 1300 may also include input / output interface 1303, network interface 1304, storage interface 1305, etc. These interfaces 1303, 1304, 1305, as well as the memory 1301 and processor 1302, can be connected, for example, via bus 1306. Specifically, input / output interface 1303 provides a connection interface for input / output devices such as monitors, mice, keyboards, touchscreens, microphones, and speakers. Network interface 1304 provides a connection interface for various networked devices. Storage interface 1305 provides a connection interface for external storage devices such as SD cards and USB flash drives.

[0216] In some embodiments, the electronic device 1300 can serve as a method for detecting the impact quality of performing the operations of any of the above embodiments. In other embodiments, the electronic device 1300 can serve as a method for determining the detection standard for the impact quality of performing the operations of any of the above embodiments.

[0217] This disclosure also provides a dynamic compaction machine, including a compaction quality detection device (e.g., detection device 1000 / 1200 / 1300) of any of the above embodiments and a compaction quality detection standard determination device (e.g., determination device 1100 / 1200 / 1300).

[0218] Figure 14 A schematic diagram of the structure of a dynamic compaction machine according to some embodiments of the present disclosure is shown.

[0219] like Figure 14 As shown, the dynamic compaction machine 1400 includes a controller 1401 and a compaction settlement detection system 1102. The compaction settlement detection system 1102 may include a compaction settlement detection device (e.g., compaction settlement detection device 40) and a tamping hammer (e.g., tamping hammer 30). For example, the compaction quality detection device (e.g., detection device 1000 / 1200 / 1300) and the compaction quality detection standard determination device (e.g., determination device 1100 / 1200 / 1300) of any of the above embodiments may be provided in the controller 1401.

[0220] In some embodiments, the dynamic compaction machine 1400 may further include a display device 1403. The display device 1403 is used to provide a human-machine interface. For example, a user can issue control commands through the human-machine interface to control the controller 1401 to execute a method for detecting compaction quality or a method for determining the detection standard of compaction quality.

[0221] For example, the operating modes of the controller 1401 can be divided. The first mode is defined as starting the device for determining the compaction quality detection standard and executing the method for determining the compaction quality detection standard; the second mode is defined as starting the device for detecting the compaction quality and executing the method for detecting the compaction quality. First, the first mode is started to determine the compaction quality detection standard corresponding to the target area. Then, the second mode is started to detect the compaction quality of the target compaction points in the target area.

[0222] For example, during the process of testing the compaction quality of target points in the target area using the second mode, the second variance can be calculated in real time. If the second variance exceeds a fifth threshold, the execution of the second mode is paused, and the system switches to the first mode. Then, in the first mode, sample compaction points are reselected, and test compaction is performed to determine the updated testing standard. Afterward, the second mode is restarted to test the compaction quality of target points in the target area based on the updated testing standard.

[0223] Figure 15 A schematic diagram of the structure of a tamping hammer according to some embodiments of the present disclosure is shown.

[0224] Figure 15 The front view and top view of the rammer are schematically shown.

[0225] like Figure 15 As shown, the rammer includes a hammer body 1501 and an acceleration sensor 1502. The acceleration sensor 1502 is used to collect the gravitational acceleration signal of the rammer during free fall and the instantaneous acceleration signal generated by the rammer at the moment of impact on the target ramming point.

[0226] For example, see Figure 9 and Figure 15 For any given impact, the oscillating motor 1 can drive the measuring rod 6-4 to swing horizontally to scan the upper end face 1503 of the hammer 30 to locate the hammer's position. The acceleration sensor 1502 can send the gravitational acceleration signal of the hammer during free fall to the controller 1401, so that the controller 1401 can calculate the first distance between the hammer and the ground before the current impact based on the gravitational acceleration signal. In response to the first distance being greater than or equal to a first threshold, the controller 1401 can control the acceleration sensor 1502 to collect the instantaneous acceleration signal generated by the hammer at the moment of impact on the target impact point as a time-domain acceleration signal.

[0227] It should be understood that the controller 1401 may also include other steps of the impact quality detection method or the impact quality detection standard determination method in the relevant embodiments described above, which will not be repeated here.

[0228] This disclosure also provides a computer-readable storage medium including computer program instructions that, when executed by a processor, implement the method of any of the above embodiments.

[0229] This disclosure also provides a computer program product, including a computer program that, when executed by a processor, implements the method of any of the above embodiments.

[0230] Those skilled in the art will understand that embodiments of this disclosure can be provided as methods, systems, or computer program products. Therefore, this disclosure can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this disclosure can take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0231] This concludes the detailed description of the technical solutions for testing impact quality and determining testing standards according to this disclosure. To avoid obscuring the concept of this disclosure, some details known in the art have not been described. Those skilled in the art can fully understand how to implement the technical solutions disclosed herein based on the above description.

[0232] The methods and systems of this disclosure may be implemented in many ways. For example, they may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order of steps for the methods is for illustrative purposes only, and the steps of the methods of this disclosure are not limited to the specific order described above unless otherwise specifically stated. Furthermore, in some embodiments, this disclosure may also be implemented as a program recorded on a recording medium, the program including machine-readable instructions for implementing the methods according to this disclosure. Thus, this disclosure also covers recording media storing programs for performing the methods according to this disclosure.

[0233] While specific embodiments of this disclosure have been described in detail by way of example, those skilled in the art should understand that the examples are for illustrative purposes only and not intended to limit the scope of this disclosure. Those skilled in the art should understand that modifications can be made to the above embodiments without departing from the scope and spirit of this disclosure. The scope of this disclosure is defined by the appended claims.

Claims

1. A method for detecting the impact quality, comprising: Acquire the time-domain acceleration signal generated by the target tamping point in the target area during each of the multiple tamping operations; The time-domain acceleration signal is transformed in the frequency domain to obtain the acceleration spectrum corresponding to the time-domain acceleration signal; The frequency domain characteristic quantity corresponding to each impact is determined based on the maximum acceleration amplitude in the acceleration spectrum and the acceleration amplitude corresponding to each specified frequency among multiple specified frequencies in the acceleration spectrum. The impact quality of the target impact point is detected based on the frequency domain feature quantity corresponding to each impact and the impact quality detection standard corresponding to the target area.

2. The detection method according to claim 1, wherein, The step of determining the frequency domain feature quantity corresponding to each impact based on the maximum acceleration amplitude in the acceleration spectrum and the acceleration amplitude corresponding to each specified frequency among multiple specified frequencies includes: Determine the weighted sum of the acceleration amplitudes corresponding to each of the plurality of specified frequencies; The frequency domain feature quantity corresponding to each impact is determined based on the ratio of the weighted sum to the maximum acceleration amplitude.

3. The detection method according to claim 1, wherein, The acquisition of the time-domain acceleration signal generated by the target ramming point in the target area during each of the multiple ramming strikes includes: The first distance between the rammer and the ground before each ramming blow in the multiple ramming operations is determined based on the gravitational acceleration signal of the rammer during free fall. In response to the first distance being greater than or equal to a first threshold, the instantaneous acceleration signal generated by the tamping hammer at the moment of each tamping of the target tamping point is collected as the time-domain acceleration signal.

4. The detection method according to claim 1, wherein, The detection standards are different for different target areas.

5. The detection method according to any one of claims 1-4, wherein, The testing standards are determined as follows: Multiple first test tamping blows are performed on each of the multiple first sample tamping points in the target area; Obtain the sample time-domain acceleration signal generated by each first sample tamping point in each of the multiple first test tampings, and obtain the tamping settlement amount formed by each first sample tamping point in each first test tamping; The sample time-domain acceleration signal is transformed in the frequency domain to obtain the sample acceleration spectrum corresponding to the sample time-domain acceleration signal; Based on the maximum acceleration amplitude in the sample acceleration spectrum and the acceleration amplitude corresponding to each specified frequency of the sample among multiple sample specified frequencies, determine the sample frequency domain feature quantity corresponding to each first test impact of the first sample impact point; Correlation analysis is performed on the sample frequency domain characteristics and settlement amount corresponding to each first test impact at each first sample compaction point to determine the first correlation index; In response to the first correlation index being greater than the second threshold, the detection standard is determined based on the sample frequency domain feature quantity corresponding to each first test impact of each first sample impact point.

6. The detection method according to claim 5, wherein, The step of determining the detection standard based on the sample frequency domain feature quantity corresponding to each first test impact at each first sample impact point includes: The first sample tamping point in which the settlement amount formed by the last two first test tamping blows in the multiple first test tamping blows is less than or equal to the third threshold is determined as the designated sample tamping point. The detection standard is determined based on the frequency domain characteristic quantities of the specified sample corresponding to the last two first test impacts at the specified sample impact point.

7. The detection method according to claim 6, wherein, The determination of the detection standard based on the frequency domain characteristic quantities of the specified sample corresponding to the last two first test impacts at the specified sample impact point includes: The detection standard is determined based on the first average value of the frequency domain features of the specified sample.

8. The detection method according to claim 7, wherein, The specified sample saturation point includes multiple saturation points, and the specified sample frequency domain feature quantity includes multiple sets of sample frequency domain feature quantities corresponding to the multiple saturation points. Each set of frequency domain feature quantities in the multiple sets of sample frequency domain feature quantities includes the sample frequency domain feature quantity corresponding to the last two first test tamping blows for each of the multiple tamping points. The first average value is the average value of the frequency domain features of the multiple sets of samples.

9. The detection method according to claim 7, wherein, The step of determining the detection standard based on the first average value of the specified sample frequency domain feature quantities includes: Determine the first variance of the frequency domain feature of the specified sample; In response to the first variance being less than or equal to the fourth threshold, the first average value is determined as the detection standard.

10. The detection method according to claim 6, further comprising: Determine the second variance of the frequency domain feature quantity of the specified sample and the frequency domain feature quantity corresponding to each impact; In response to the second variance being less than or equal to the fifth threshold, the detection standard is updated based on the detection result of the impact quality of the target impact point, the frequency domain feature quantity of the specified sample, and the frequency domain feature quantity corresponding to each impact.

11. The detection method according to claim 10, wherein, The determination of the detection standard based on the frequency domain characteristic quantities of the specified sample corresponding to the last two first test impacts at the specified sample impact point includes: The detection standard is determined based on the first average value of the specified sample frequency domain features. The step of updating the detection standard based on the detection results of the impact quality of the target impact point, the frequency domain feature quantity of the specified sample, and the frequency domain feature quantity corresponding to each impact includes: In response to the detection result of the impact quality of the target impact point being qualified, the detection standard is updated based on the first average value and the second average value of the frequency domain characteristic quantity corresponding to each impact.

12. The detection method according to claim 10, further comprising: In response to the second variance being greater than the fifth threshold, multiple second test tampings are performed for each of the multiple second sample tamping points in the target region; Obtain the sample frequency domain feature quantity corresponding to each second test tamping of each second sample tamping point, and obtain the tamping settlement amount formed by each second test tamping of each second sample tamping point; Correlation analysis is performed on the sample frequency domain characteristics and settlement amount corresponding to each second test impact at each second sample compaction point to determine the second correlation index; In response to the second correlation index being greater than the second threshold, the detection standard is updated based on the sample frequency domain feature quantity corresponding to each second test impact of each second sample impact point.

13. The detection method according to claim 12, wherein, The step of detecting the impact quality of the target impact point based on the frequency domain feature quantity corresponding to each impact and the impact quality detection standard corresponding to the target area includes: The impact quality of the target impact point is detected based on the frequency domain feature quantity corresponding to each impact and the updated detection standard.

14. The detection method according to any one of claims 1-4, wherein, The step of detecting the impact quality of the target impact point based on the frequency domain feature quantity corresponding to each impact and the impact quality detection standard corresponding to the target area includes: In response to the fact that the frequency domain feature quantity corresponding to at least two consecutive impacts in the multiple impacts meets the detection standard, the impact quality of the target impact point is determined to be qualified; If the frequency domain feature quantity corresponding to the at least two impacts does not meet the detection standard, the impact quality of the target impact point is determined to be unqualified.

15. The detection method according to any one of claims 1-4, wherein, The step of performing a frequency domain transformation on the time-domain acceleration signal to obtain the acceleration spectrum corresponding to the time-domain acceleration signal includes: The time-domain acceleration signal is truncated according to the specified sampling frequency and number of sampling points to obtain a signal segment containing the peak value of the time-domain acceleration signal; The signal segment is transformed in the frequency domain to obtain the acceleration spectrum corresponding to the time-domain acceleration signal.

16. A method for determining the testing standard for compaction quality, comprising: Multiple first test tamping blows are performed on each of the multiple first sample tamping points in the target area; Obtain the sample time-domain acceleration signal generated by each first sample tamping point in each of the multiple first test tampings, and obtain the tamping settlement amount formed by each first sample tamping point in each first test tamping; The sample time-domain acceleration signal is transformed in the frequency domain to obtain the sample acceleration spectrum corresponding to the sample time-domain acceleration signal; Based on the maximum acceleration amplitude in the sample acceleration spectrum and the acceleration amplitude corresponding to each specified frequency of the sample among multiple sample specified frequencies, determine the sample frequency domain feature quantity corresponding to each first test impact of the first sample impact point; Correlation analysis is performed on the sample frequency domain characteristics and settlement amount corresponding to each first test impact at each first sample compaction point to determine the first correlation index; In response to the first correlation index being greater than the second threshold, the detection standard for the impact quality corresponding to the target area is determined based on the sample frequency domain feature quantity corresponding to each first test impact of each first sample impact point.

17. The determining method according to claim 16, wherein, The step of determining the detection standard based on the sample frequency domain feature quantity corresponding to each first test impact at each first sample impact point includes: The first sample tamping point in which the settlement amount formed by the last two first test tamping blows in the multiple first test tamping blows is less than or equal to the third threshold is determined as the designated sample tamping point. The detection standard is determined based on the frequency domain characteristic quantities of the specified sample corresponding to the last two first test impacts at the specified sample impact point.

18. The determining method according to claim 17, wherein, The determination of the detection standard based on the frequency domain characteristic quantities of the specified sample corresponding to the last two first test impacts at the specified sample impact point includes: The detection standard is determined based on the first average value of the frequency domain features of the specified sample.

19. The determining method according to claim 18, wherein, The specified sample saturation point includes multiple saturation points, and the specified sample frequency domain feature quantity includes multiple sets of sample frequency domain feature quantities corresponding to the multiple saturation points. Each set of frequency domain feature quantities in the multiple sets of sample frequency domain feature quantities includes the sample frequency domain feature quantity corresponding to the last two first test tamping blows for each of the multiple tamping points. The first average value is the average value of the frequency domain features of the multiple sets of samples.

20. The determining method according to claim 18, wherein, The step of determining the detection standard based on the first average value of the specified sample frequency domain feature quantities includes: Determine the first variance of the frequency domain feature of the specified sample; In response to the first variance being less than or equal to the fourth threshold, the first average value is determined as the detection standard.

21. The determining method according to any one of claims 16-20, wherein, The acquisition of the settlement amount formed by each first sample compaction point in each first test includes: Multiple settlement detection parameters for each first test impact are obtained using a settlement detection device. Based on the multiple settlement detection parameters, the settlement amount formed by each first sample tamping point in each first test is determined. The settlement detection device includes a telescopic component, a detection component, a support component, and a drive component connected to the telescopic component. The driving component is used to drive the telescopic component to switch from a retracted state to an extended state. The support component is used to follow the telescopic component as it switches from a retracted state to an extended state. The detection component is used to swing horizontally in a plane parallel to the target area when the telescopic component is in the extended state, in order to measure a first distance between the hammer and the ground before each first test tamping blow, the included angle of the horizontal swing of the detection component, and a second distance between the detection component and the ground. The plurality of compaction measurement parameters include the first distance, the included angle, and the second distance.

22. A device for detecting the impact quality, comprising: The acquisition module is configured to acquire the time-domain acceleration signal generated by the target tamping point in the target area during each of the multiple tamping operations. The frequency domain transformation module is configured to perform frequency domain transformation on the time domain acceleration signal to obtain the acceleration spectrum corresponding to the time domain acceleration signal; The determining module is configured to determine the frequency domain feature quantity corresponding to each impact based on the maximum acceleration amplitude in the acceleration spectrum and the acceleration amplitude corresponding to each specified frequency among a plurality of specified frequencies in the acceleration spectrum; The detection module is configured to detect the impact quality of the target impact point based on the frequency domain feature quantity corresponding to each impact and the impact quality detection standard corresponding to the target area.

23. A device for determining the testing standard for compaction quality, comprising: The test tamping module is configured to perform multiple first test tampings on each of the multiple first sample tamping points in the target area; The acquisition module is configured to acquire the sample time-domain acceleration signal generated by each first sample tamping point in each of the multiple first test tampings, and to acquire the settlement amount formed by each first sample tamping point in each of the first test tampings; The frequency domain transformation module is configured to perform frequency domain transformation on the sample time-domain acceleration signal to obtain the sample acceleration spectrum corresponding to the sample time-domain acceleration signal; The first determining module is configured to determine the sample frequency domain feature quantity corresponding to each first test impact of each first sample impact point based on the maximum acceleration amplitude in the sample acceleration spectrum and the acceleration amplitude corresponding to each specified frequency of the multiple sample specified frequencies. The analysis module is configured to perform a correlation analysis on the sample frequency domain features and the compaction amount to determine a first correlation index; The second determining module is configured to, in response to the first correlation index being greater than the second threshold, determine the detection standard for the impact quality corresponding to the target area based on the sample frequency domain feature quantity corresponding to each first test impact of each first sample impact point.

24. An electronic device comprising: Memory; and A processor coupled to the memory, the processor being configured to execute the detection method of any one of claims 1-15 or the determination method of claims 16-21 based on instructions stored in the memory.

25. A dynamic compaction machine, comprising: The detection device according to claim 22; as well as The determining device as claimed in claim 23.

26. A computer-readable storage medium having stored thereon computer instructions that, when executed by a processor, implement the detection method according to any one of claims 1-15 or the determination method according to claims 16-21.

27. A computer program product comprising instructions that, when executed by a processor, cause the processor to perform the detection method according to any one of claims 1-15 or the determination method according to claims 16-21.

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