Pile slot sediment thickness detection method, system and equipment based on magnetostrictive signal inversion

Abstract

The present application belongs to the field of quantity detection equipment, and provides a pile slot sediment thickness detection method, system and equipment based on magnetostrictive signal inversion, extracts the feature arrival time of each response signal; generates the time difference position conversion parameter of the current measurement period according to the reference coordinates of the first fixed reference position and the second fixed reference position and the corresponding feature arrival time; determines the sediment upper interface coordinates and the hole bottom hard interface coordinates according to the time difference position conversion parameter, and obtains the sediment thickness of the current measurement period according to the difference between the hole bottom hard interface coordinates and the sediment upper interface coordinates; determines the target sediment thickness based on the sediment thicknesses corresponding to multiple measurement periods, thereby being more beneficial to non-contact, high-resolution, continuous sampling and on-site detection.

Description

Technical Field

[0001] This invention belongs to the field of quantitative detection equipment and electrical data processing, specifically relating to a method, system and equipment for detecting the thickness of sediment in pile trenches based on magnetostrictive signal inversion. Background Technology

[0002] During the construction of bored piles, a certain thickness of sediment layer often forms at the bottom of the hole. The thickness of the sediment directly affects the bearing capacity, load-bearing performance, and subsequent quality control of the pile end. Therefore, it is usually necessary to detect the thickness of the sediment at the bottom of the pile trench before and after drilling or grouting. In the existing technology, various technical approaches have been developed for sediment thickness detection, including mechanical measurement, ultrasonic testing, and pressure or penetration testing. For example, patent document CN113295070B discloses a device and method for detecting the thickness of sediment in bored piles. This method uses a measuring rope, a metal hammer, and a horizontal base cylinder to measure the sediment thickness, and incorporates a sidewind blocking device to reduce reading errors caused by rope swaying. Patent document CN101377417A discloses an ultrasonic sediment measuring instrument and method. This method uses an underground ultrasonic transducer to receive reflected waves from the upper and lower interfaces and calculates the sediment thickness according to a corresponding formula. Patent document CN111042225A discloses a device and method for accurately measuring the thickness of sediment in bored cast-in-place piles. It comprehensively determines the surface position and thickness of the sediment by considering the pressure of the base plate, the pressure at the tip of the mechanical probe, and the inclination angle. Patent document CN104532886B discloses a scheme combining pre-embedded acoustic probes, acoustic testing, and core drilling to detect sediment at the bottom of bored piles and the foundation at the pile tip. Therefore, these existing technologies for detecting sediment at the pile bottom mainly revolve around the core task of interface identification combined with thickness calculation, but the implementation methods are still primarily based on mechanical contact, pressure identification, or acoustic detection.

[0003] As can be seen from the above existing technical solutions, while current sediment detection methods can measure thickness to a certain extent, they still have some limitations. Taking the technical solution described in patent document CN113295070B as an example, its solution mainly relies on the relative movement of the measuring rope, metal hammer, and horizontal bottom cylinder to obtain the sediment thickness, essentially still belonging to the mechanical relative displacement reading route. Taking the technical solution described in patent document CN111042225A as another example, its solution identifies the upper and lower interfaces of the sediment through changes in chassis pressure and mechanical probe pressure, supplemented by tilt angle correction, indicating that its measurement process is highly dependent on probe posture, contact state, and pressure change process. Furthermore, the acoustic route solutions represented by patent documents CN101377417A and CN104532886B rely more on structural conditions such as ultrasonic reflection interface identification, pre-embedded acoustic probes, or core drilling. It is reasonable to see from the publicly available information of these solutions that existing technologies generally rely heavily on mechanical contact conditions, pressure change trends, or pre-embedded or additional testing conditions during the detection process, resulting in relatively numerous on-site structures and operational steps. Alternatively, in mud environments, with local disturbances, probe oscillations, or unstable interface echoes, measurement results are easily affected by reading fluctuations or interface identification errors. Furthermore, for multiple detection data, existing solutions more commonly involve averaging after repeated measurements, lacking more refined processing mechanisms for conversion based on the current interface position and suppression of multi-cycle anomaly contributions.

[0004] On the other hand, magnetostrictive technology has been widely applied in industrial measurement fields such as liquid level and displacement. For example, patent document CN2788152Y discloses a magnetostrictive liquid level sensor that uses the interaction between a waveguide wire and an external magnet to generate a response signal for position measurement. Patent document CN104154851A discloses a time-difference proportional displacement measurement method for a magnetostrictive sensor, which records multiple time values ​​and performs proportional calculations to compensate for errors caused by changes in torsional wave propagation speed and system clock frequency. Patent document CN116202408B discloses a segmented calibration method for a magnetostrictive displacement sensor, which improves displacement measurement accuracy through segmented range, time region determination, and segmented calibration speed calculation. Patent document CN103743810A discloses a magnetostrictive guided wave detection signal processing method and device, which improves signal-to-noise ratio and detection accuracy through bandpass filtering, singular value decomposition, and energy distribution analysis. However, existing disclosures related to magnetostriction mainly focus on liquid level measurement, general displacement measurement, or guided wave detection signal processing. Their emphasis is on single-position measurement, high-precision time interval determination, segmented calibration, and general signal denoising. A comprehensive solution has not yet been found that integrates two fixed reference positions with the sediment interface position and the borehole bottom hard interface position into the same measurement cycle, automatically generating the current time difference-position conversion relationship, and then inverting the pile trench sediment thickness from the coordinate difference between the upper and lower interfaces. Furthermore, existing pile bottom sediment detection schemes fail to organically combine the current self-calibration concept, segmented conversion concept, and multi-cycle fluctuation fusion concept of magnetostrictive ranging into the sediment thickness detection scenario. Existing technologies lack a sediment thickness detection method that is both adaptable to the pile trench mud environment and can stably acquire the sediment interface and borehole bottom hard interface positions digitally, while also performing more refined fusion processing of multi-cycle measurement results. Summary of the Invention

[0005] The purpose of this invention is to propose a method, system and equipment for detecting the thickness of sediment in pile trenches based on magnetostrictive signal inversion, so as to solve one or more technical problems existing in the prior art, and at least provide a beneficial option or create conditions.

[0006] To achieve the above objectives, according to one aspect of the present invention, a method for detecting the thickness of sediment in a pile trench based on magnetostrictive signal inversion is provided. When the detection probe is lowered to the bottom region of the pile trench, a magnetostrictive response signal corresponding to a first fixed reference position, a second fixed reference position, the upper interface position of the sediment, and the hard interface position at the bottom of the hole is generated by the detection probe. The method includes the following steps:

[0007] Acquire the first reference response signal corresponding to the first fixed reference position, the second reference response signal corresponding to the second fixed reference position, the upper interface response signal corresponding to the upper interface position of the sediment, and the lower interface response signal corresponding to the hard interface position at the bottom of the hole. The first fixed reference position and the second fixed reference position are two different position points along the axial direction of the detection probe and whose coordinates are known in the reference coordinate system. The arrival times of the first reference response signal, the second reference response signal, the upper interface response signal, and the lower interface response signal are extracted; the feature arrival time is the time position in which the corresponding response signal reaches a predetermined or critical recognition state in the acquired waveform; Based on the reference coordinates of the first fixed reference position and the second fixed reference position and the corresponding feature arrival time, the time difference position conversion parameter for the current measurement cycle is generated, wherein: the time difference position conversion parameter is used to characterize the correspondence between the arrival time of the response signal and the axial position of the detection probe in the current measurement cycle; Based on the time difference position conversion parameters, determine the coordinates of the upper interface of the sediment and the coordinates of the hard interface at the bottom of the hole, and obtain the sediment thickness for the current measurement cycle based on the difference between the coordinates of the hard interface at the bottom of the hole and the coordinates of the upper interface of the sediment. The target sediment thickness is determined based on the sediment thickness results (or interface time difference results) corresponding to multiple measurement cycles.

[0008] The reference coordinate system can preferably be a plane rectangular coordinate system with the first fixed reference position as the origin, the ground surface as the origin, or a horizontal point as the origin; the reference coordinates represent the coordinate information in the reference coordinate system.

[0009] Preferably, the first fixed reference position and the second fixed reference position can refer to two reference positions that are pre-set along the axial direction of the detection probe, have known coordinates, and are used for calibration in this measurement; the upper interface position of the sediment can refer to the interface position corresponding to the upper surface of the sediment in the pile trench; the hard interface position at the bottom of the hole can refer to the position corresponding to the harder bottom surface of the hole below the sediment layer after the probe continues to move downward. The corresponding magnetostrictive response signal can refer to the response electrical signal formed and collected at the magnetic field action point corresponding to each of the above positions after the control module sends an excitation pulse to the waveguide wire. The arrival time of this response electrical signal can be further extracted to determine the axial coordinates of the corresponding position.

[0010] The method described in this invention does not follow the existing mechanical thickness measurement route of contacting the upper surface of the sediment with a horizontal bottom cylinder, continuing to probe with a metal hammer, reading relative displacement, or supplementing with acoustic verification, nor does it use magnetostriction only as a general single-point displacement measurement. Instead, it simultaneously acquires the magnetostriction response signals corresponding to two fixed reference positions, the upper interface position of the sediment, and the hard interface position at the bottom of the borehole, extracts the arrival time of each characteristic, and generates the position conversion relationship for the current measurement cycle based on this. Then, the sediment thickness is directly obtained from the coordinate difference between the upper and lower interfaces. Compared with the existing technology that uses a measuring rope, metal hammer, horizontal bottom cylinder, displacement sensor, and acoustic device to measure thickness, and the existing technology that uses magnetostriction to measure a single displacement at multiple times, this invention solves the problem that in the pile trench mud environment, existing probe testing techniques are either too mechanically contact-oriented and easily affected by oscillation and reading errors, or although they have the principle of magnetostriction ranging, they lack an overall methodological framework for dual-interface thickness inversion facing the upper interface of the sediment and the hard interface at the bottom of the borehole. The significant advancement achieved is the upgrading of sediment thickness detection from mechanical relative displacement reading to digital thickness inversion based on dual-interface response time, thus facilitating non-contact, high-resolution, and continuous sampling on-site probe testing. This advancement is made possible by decomposing the engineering object of pile bottom sediment thickness measurement into a unified time-difference measurement problem involving two fixed reference points and two interface points to be measured. This allows the same magnetostrictive response link to handle both reference calibration and thickness inversion, resulting in greater physical stability than simple mechanical readings and facilitating subsequent filtering and fusion processing of the data.

[0011] Furthermore, the arrival time of the feature is the time position in which the corresponding response signal reaches the recognition state in the acquired waveform.

[0012] Furthermore, the method for extracting the characteristic arrival times of each of the response signals is as follows: Based on at least one of the following methods, such as peak position, extreme point position, zero crossover position, or related matching results, extract the characteristic arrival time of each response signal.

[0013] Furthermore, the method for determining the coordinates of the upper interface of the sediment and the hard interface at the bottom of the borehole is as follows: The interface type of the candidate response signal is determined by calculating at least one of the amplitude variation characteristics, waveform characteristics, timing characteristics and / or periodic characteristics of the candidate response signal; the candidate response signal that meets the condition for identifying the upper interface of the sediment is determined as the upper interface response signal, and the candidate response signal that meets the condition for identifying the hard interface at the bottom of the hole is determined as the lower interface response signal.

[0014] Furthermore, the generation of time difference position conversion parameters for the current measurement period includes: Based on the reference coordinate difference between the first fixed reference position and the second fixed reference position and the corresponding characteristic arrival time difference, the unit time difference displacement parameter is obtained. The unit time difference displacement parameter is used to characterize the axial displacement corresponding to the unit time difference in the current measurement cycle. Based on the reference coordinates of any fixed reference position, the corresponding characteristic arrival time, and the unit time difference displacement parameter, the coordinate reference parameter is obtained. The coordinate reference parameter is used to characterize the coordinate alignment relationship of the current measurement cycle. Based on the unit time difference displacement parameter and the coordinate reference parameter, the time difference position conversion parameter for the current measurement cycle is formed; Based on the time difference position conversion parameters, the characteristic arrival time of the upper interface response signal is converted into the coordinates of the upper interface of the sediment, and the characteristic arrival time of the lower interface response signal is converted into the coordinates of the hard interface at the bottom of the hole.

[0015] The method described in this invention does not simply pre-define a fixed conversion constant between time difference and thickness, nor does it merely apply the fixed structural constant formula used in existing magnetostrictive displacement measurements. Instead, it generates the unit time difference displacement parameter and the coordinate reference parameter described in this invention within the current measurement cycle based on the known reference coordinates and corresponding characteristic arrival times of two fixed reference positions. Then, it converts the upper and lower interface times into coordinates. Compared to existing methods that calculate time difference proportional displacement by dividing time intervals and using fixed structural distances, this method places greater emphasis on the self-generated coordinate conversion relationship of the current reference point. Furthermore, compared to existing methods that calculate displacement through range segmentation, target time regions, and calibration speeds, this method further embeds this calibration concept into the sediment dual-interface thickness inversion scenario. The problem it solves is that, in the presence of factors such as mud environment, temperature changes, waveguide state fluctuations, and clock micro-drift, using a globally fixed formula or offline unified calibration can easily distort the mapping from upper and lower interface times to coordinates, leading to unstable thickness inversion. Its special effect is that it can dynamically generate conversion relationships based on the current reference information in each measurement cycle, making the thickness results less sensitive to changes in wave velocity, zero-point drift, and local non-uniform propagation. Specifically, the two fixed reference positions provide both time scale and coordinate alignment constraints within the same measurement cycle. The former converts the time difference into a displacement scale, while the latter anchors the displacement scale to the coordinate system, thereby absorbing environmental drift into the current conversion parameters, rather than leaving it to be borne by the final thickness result.

[0016] Further, the acquisition of the upper interface response signal corresponding to the position of the upper interface of the sediment and the lower interface response signal corresponding to the position of the hard interface at the bottom of the hole includes: The outer protective component of the detection probe is controlled to contact the upper interface of the sediment in order to establish a reference position for obtaining the upper interface of the sediment. While the outer protective component of the detection probe remains relatively stable with respect to the upper interface of the sediment, the bottom-contacting component of the detection probe is controlled to continue moving downward to the hard interface at the bottom of the hole in order to establish a measurement position for obtaining the hard interface at the bottom of the hole. Acquire the upper interface response signal corresponding to the upper interface measuring magnet linked to the reference position of the upper interface of the sediment, and the lower interface response signal corresponding to the lower interface measuring magnet linked to the measurement position of the hard interface at the bottom of the hole.

[0017] Furthermore, determining the target sediment thickness based on the sediment thickness corresponding to multiple measurement cycles includes: Construct thickness fluctuation sequences or interface time difference fluctuation sequences corresponding to multiple measurement cycles; Based on the thickness fluctuation sequence or the interface time difference fluctuation sequence, determine the central characterization quantity representing the overall concentration degree and the benchmark fluctuation quantity representing the overall fluctuation degree; The abnormal contribution of each measurement period is determined based on the degree of deviation of the results of each measurement period from the central characterization quantity and the benchmark fluctuation. The participation weights for each measurement period are generated based on the aforementioned abnormal contribution. The target sediment thickness is obtained by fusing the results of multiple measurement cycles based on the participation weights.

[0018] This method differs from existing techniques that repeatedly measure multiple sets of thickness data and directly average them, and from general magnetostrictive guided wave signal processing that focuses on denoising single waveforms. Instead, it first constructs a thickness fluctuation sequence or interface time difference fluctuation sequence for multiple measurement periods, extracts the central characterization quantity and the reference fluctuation quantity from these sequences, further calculates the anomaly contribution of each period, generates participation weights accordingly, and finally fuses the data according to the participation weights to obtain the target sediment thickness. In existing technologies, local disturbances, slight probe oscillations, occasional stray peaks, or echo jitter often occur in the pile trench mud environment. If only simple averaging is performed, the anomaly periods will directly skew the final thickness; if only hard thresholding is performed, it is easy to delete the boundary-related effective data as well. The advantage of the method described in this invention is that it changes the anomaly period processing from a binary rejection judgment to a continuous contribution adjustment, so that the anomaly periods are not equally weighted as in simple averaging, nor are they abruptly removed as in hard thresholding, thus preserving as much effective information as possible while ensuring robustness. This method no longer treats each cycle as an isolated result, but instead places it back into the overall fluctuation distribution to determine its contribution to the global deviation. Then, it uses participation weights to pass this contribution to the final fusion result. Therefore, the final thickness will be the result of automatic weight reduction according to the degree of anomaly, instead of setting a threshold first and then deleting data.

[0019] Furthermore, the time difference position conversion parameter is a segmented time difference position conversion parameter: The segmented time difference position conversion parameter is obtained by dividing the characteristic arrival time difference between the first fixed reference position and the second fixed reference position into multiple time segments, and generating local conversion parameters for each time segment. When the coordinates of the upper interface of the sediment and the coordinates of the hard interface at the bottom of the hole correspond to different time segments, the thickness of the sediment is determined according to the cross-segment accumulation method.

[0020] Furthermore, the fusion of results from multiple measurement periods based on the participation weights includes: Based on at least one of the parameters corresponding to the upper and lower interface response signals in each measurement cycle, the signal reliability of each measurement cycle is generated. The parameters may include amplitude, pulse width, rate of change, signal-to-noise ratio and / or waveform similarity, etc. The participation weights are adjusted based on the credibility of the signal.

[0021] This invention also provides a pile trench sediment thickness detection system based on magnetostrictive signal inversion. The system includes a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the pile trench sediment thickness detection method based on magnetostrictive signal inversion. The system can run on computing devices such as desktop computers, laptops, handheld computers, and cloud data centers. The runnable system may include, but is not limited to, processors, memory, and server clusters. The processor executes the computer program within the following system units: The data acquisition unit is used to generate a first fixed reference position, a second fixed reference position, a sediment upper interface position, and a hole bottom hard interface position and corresponding magnetostrictive response signals when the detection probe is lowered to the bottom area of ​​the pile trench. The time calculation unit is used to extract the characteristic arrival time of each response signal, and generate the time difference position conversion parameters for the current measurement cycle based on the reference coordinates of the first fixed reference position and the second fixed reference position, and the corresponding characteristic arrival time. The parameter conversion unit is used to convert parameters according to the time difference position, determine the coordinates of the upper interface of the sediment and the coordinates of the hard interface at the bottom of the hole, and obtain the sediment thickness of the current measurement cycle according to the difference between the coordinates of the hard interface at the bottom of the hole and the coordinates of the upper interface of the sediment. The periodic measurement unit is used to determine the target sediment thickness based on the sediment thickness corresponding to multiple measurement cycles.

[0022] Correspondingly, the present invention also provides an electronic device, a readable storage medium, and a computer program product: An electronic device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the method for detecting pile trench sediment thickness based on magnetostrictive signal inversion and the methods for each step therein.

[0023] A non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause the computer to perform the method for detecting the thickness of pile trench sediment based on magnetostrictive signal inversion and the steps thereof.

[0024] A computer program product includes a computer program that, when executed by a processor, implements the method for detecting the thickness of pile trench sediment based on magnetostrictive signal inversion and the methods for each step therein.

[0025] The beneficial effects of this invention are as follows: This invention provides a method, system, and device for detecting the thickness of sediment in pile trenches based on magnetostrictive signal inversion. It extracts the characteristic arrival times of each response signal; generates time difference position conversion parameters for the current measurement cycle based on the reference coordinates of the first and second fixed reference positions and the corresponding characteristic arrival times; determines the coordinates of the upper interface of the sediment and the hard interface at the bottom of the hole based on the time difference position conversion parameters; and obtains the sediment thickness for the current measurement cycle based on the difference between the coordinates of the hard interface at the bottom of the hole and the coordinates of the upper interface of the sediment; and determines the target sediment thickness based on the sediment thickness corresponding to multiple measurement cycles, thereby facilitating non-contact, high-resolution, and continuous sampling on-site detection. Attached Figure Description

[0026] The above and other features of the present invention will become more apparent from the detailed description of the embodiments shown in conjunction with the accompanying drawings. In the accompanying drawings, the same reference numerals denote the same or similar elements. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without any creative effort. In the drawings: Figure 1 The flowchart shown is a method for detecting the thickness of sediment in pile trenches based on magnetostrictive signal inversion. Figure 2 The figure shows the system structure of the pile trench sediment thickness detection system based on magnetostrictive signal inversion. Detailed Implementation

[0027] The following will provide a clear and complete description of the concept, specific structure, and technical effects of the present invention in conjunction with the embodiments and accompanying drawings, so as to fully understand the purpose, solution, and effects of the present invention. It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other.

[0028] In the description of this invention, "several" means one or more, "more than" means two or more, "greater than," "less than," and "exceeding" are understood to exclude the stated number, while "above," "below," and "within" are understood to include the stated number. The use of "first" and "second" in the description is merely for distinguishing technical features and should not be construed as indicating or implying relative importance, or implicitly indicating the number of indicated technical features, or implicitly indicating the order of the indicated technical features.

[0029] like Figure 1 The diagram shows a flowchart of the pile trench sediment thickness detection method based on magnetostrictive signal inversion according to the present invention. The following is a summary of the method. Figure 1 This paper describes a method, system, and equipment for detecting the thickness of sediment in pile trenches based on magnetostrictive signal inversion according to embodiments of the present invention.

[0030] This invention proposes a method for detecting the thickness of sediment in pile trenches based on magnetostrictive signal inversion. The method specifically includes the following steps: When the detection probe is lowered to the bottom area of ​​the pile trench, the detection probe forms a first fixed reference position, a second fixed reference position, a sediment upper interface position, and a hole bottom hard interface position, as well as corresponding magnetostrictive response signals. Extract the characteristic arrival time of each response signal, and generate the time difference position conversion parameters for the current measurement cycle based on the reference coordinates of the first fixed reference position and the second fixed reference position, and the corresponding characteristic arrival time. Based on the time difference position conversion parameters, determine the coordinates of the upper interface of the sediment and the coordinates of the hard interface at the bottom of the hole, and obtain the sediment thickness for the current measurement cycle based on the difference between the coordinates of the hard interface at the bottom of the hole and the coordinates of the upper interface of the sediment. The target sediment thickness is determined based on the sediment thickness corresponding to multiple measurement cycles.

[0031] The time difference position conversion parameter is a correspondence between the characteristic arrival time of the response signal and the position point on the axial direction of the detection probe in the current measurement cycle.

[0032] Furthermore, the generation of time difference position conversion parameters for the current measurement period may include: Based on the reference coordinate difference between the first fixed reference position and the second fixed reference position and the corresponding characteristic arrival time difference, the unit time difference displacement parameter is obtained. The unit time difference displacement parameter is used to characterize the axial displacement corresponding to the unit time difference in the current measurement cycle. Based on the reference coordinates of any fixed reference position, the corresponding characteristic arrival time, and the unit time difference displacement parameter, the coordinate reference parameter is obtained. The coordinate reference parameter is used to characterize the coordinate alignment relationship of the current measurement cycle. Based on the unit time difference displacement parameter and the coordinate reference parameter, the time difference position conversion parameter for the current measurement cycle is formed; Based on the time difference position conversion parameters, the characteristic arrival time of the upper interface response signal is converted into the coordinates of the upper interface of the sediment, and the characteristic arrival time of the lower interface response signal is converted into the coordinates of the hard interface at the bottom of the hole.

[0033] Furthermore, the acquisition of the upper interface response signal corresponding to the position of the upper interface of the sediment and the lower interface response signal corresponding to the position of the hard interface at the bottom of the hole may include: Control the contact between the outer protective component and the upper interface of the sediment to establish a reference position for the upper interface of the sediment; While the outer protective member and the upper interface of the sediment remain relatively stable, the bottom contact member is controlled to continue moving down to the bottom hard interface of the hole in order to establish the measurement position of the bottom hard interface of the hole. Acquire the upper interface response signal corresponding to the upper interface measuring magnet linked to the upper interface reference position of the sediment, and the lower interface response signal corresponding to the lower interface measuring magnet linked to the lower interface hard interface measurement position at the bottom of the hole.

[0034] Furthermore, the extraction of the characteristic arrival times of each of the response signals may include: Based on the first reference response signal, the second reference response signal, the upper interface response signal, and the lower interface response signal, the acquired waveform can be preprocessed to suppress clutter components caused by mud disturbance, electromagnetic noise, and mechanical vibration. Based on at least one of the following: peak position, leading edge overthreshold position, extreme point position, zero crossover position, or related matching results, extract candidate arrival times for each response signal; When there are multiple candidate arrival times within the same measurement period, the arrival time of the target feature is determined according to the preset time series constraint relationship.

[0035] Furthermore, determining the target sediment thickness based on sediment thickness results or interface time difference results corresponding to multiple measurement cycles may include: Construct thickness fluctuation sequences (or interface time difference fluctuation sequences) corresponding to multiple measurement cycles. Based on the thickness fluctuation sequence (or interface time difference fluctuation sequence), determine the central characterization quantity representing the overall concentration degree and the benchmark fluctuation quantity representing the overall fluctuation degree; The abnormal contribution of each measurement period is determined based on the degree of deviation of the results of each measurement period from the central characterization quantity and the benchmark fluctuation. The participation weights for each measurement period are generated based on the aforementioned abnormal contribution. The target sediment thickness is obtained by fusing the results of multiple measurement cycles based on the participation weights.

[0036] Furthermore, the time difference position conversion parameter can also be a segmented time difference position conversion parameter: The segmented time difference position conversion parameter is obtained by dividing the characteristic arrival time difference between the first fixed reference position and the second fixed reference position into multiple time segments, and generating local conversion parameters for each time segment. When the coordinates of the upper interface of the sediment and the coordinates of the hard interface at the bottom of the hole correspond to different time segments, the thickness of the sediment is determined according to the cross-segment accumulation method.

[0037] Furthermore, before fusing the results of multiple measurement periods based on the participation weights, the process may further include: The signal reliability of each measurement cycle is determined based on at least one of the amplitude, pulse width, leading edge rate, signal-to-noise ratio, or waveform consistency parameter of the upper and lower interface response signals in each measurement cycle. The participation weights are adjusted based on the credibility of the signal.

[0038] Furthermore, determining the coordinates of the upper interface of the sediment and the coordinates of the hard interface at the bottom of the borehole may include: The interface type of the candidate response signal is determined based on at least one of the following: amplitude variation characteristics, waveform continuity characteristics, arrival time sequence characteristics, or consistency characteristics of adjacent measurement cycles. Candidate response signals that meet the criteria for identifying the upper interface of sediment are determined as upper interface response signals, and candidate response signals that meet the criteria for identifying the hard interface at the bottom of the hole are determined as lower interface response signals.

[0039] In some embodiments, the present invention provides an example of detecting the thickness of sediment at the bottom of a pile trench based on the conversion parameters of the current time difference position. In one embodiment, a magnetostrictive detection probe is used to detect the thickness of sediment at the bottom of the pile trench. The detection probe includes an outer protective component, a bottom-contact component disposed within the outer protective component, a waveguide wire arranged along the axial direction of the detection probe, a first fixed reference magnet, a second fixed reference magnet, an upper interface measuring magnet, and a lower interface measuring magnet. The first and second fixed reference magnets are fixedly arranged along the axial direction of the waveguide wire to form two reference positions; the upper interface measuring magnet is linked with the outer protective component to characterize the reference position of the upper interface of the sediment; the lower interface measuring magnet is linked with the bottom-contact component to characterize the measurement position of the hard interface at the bottom of the hole. This configuration is consistent with the basic implementation mechanism of waveguide wire, external magnet, and response signal in existing magnetostrictive sensors, but the application target is changed from liquid level / displacement measurement to pile trench sediment thickness measurement.

[0040] For ease of explanation, the variables in this embodiment are defined as follows: the reference coordinates of the first fixed reference position are denoted as the first reference coordinate (X1); the reference coordinates of the second fixed reference position are denoted as the second reference coordinate (X2); the characteristic arrival time of the first reference response signal is denoted as the first reference time (T1); the characteristic arrival time of the second reference response signal is denoted as the second reference time (T2); the characteristic arrival time of the upper interface response signal is denoted as the upper interface time (Tu); the characteristic arrival time of the lower interface response signal is denoted as the lower interface time (Td); the unit time difference displacement parameter of the current measurement cycle is denoted as (K), which is used to represent the axial displacement corresponding to the unit time difference; the coordinate reference parameter of the current measurement cycle is denoted as (B), which is used to represent the coordinate alignment relationship; the upper interface coordinates of the sediment are denoted as (Xu); the hard interface coordinates at the bottom of the hole are denoted as (Xd); the sediment thickness of the current measurement cycle is denoted as (Dn).

[0041] Next, during testing, the testing probe is lowered into the mud environment along the pile trench axis. When the bottom end of the outer protective component first contacts the upper surface of the sediment, the outer protective component stops moving downward, thereby establishing a reference position for the upper interface of the sediment; at this time, the upper interface measuring magnet linked with the outer protective component stops at the axial position corresponding to the upper interface of the sediment.

[0042] Subsequently, the bottom contact component continues to move downwards while the outer protective component remains relatively stable, passing through the sediment layer and finally contacting the hard interface at the bottom of the hole, thereby establishing the measurement position of the hard interface at the bottom of the hole; at this time, the lower interface measuring magnet linked with the bottom contact component moves to the axial position corresponding to the hard interface at the bottom of the hole.

[0043] In this way, within the same measurement cycle, four magnetostrictive position sources that can be identified are formed inside the detection probe: the first fixed reference position, the second fixed reference position, the upper interface position of the sediment, and the hard interface position at the bottom of the hole.

[0044] The control module sends an excitation pulse to the waveguide wire. As the excitation pulse propagates along the waveguide wire, a magnetostrictive response is generated at the corresponding positions of each magnet, and this response is converted into an electrical signal by the pickup component and then input to the signal acquisition circuit. The position is determined in magnetostrictive measurement by the time relationship between the excitation pulse and the return response, which is a well-established and mature principle.

[0045] In this embodiment, the acquired waveform is first preprocessed, including bandpass filtering, local smoothing, and baseline drift correction, to suppress clutter components caused by mud disturbance, electromagnetic noise, and mechanical vibration. Then, the arrival time of the features is extracted using a joint verification method of amplitude exceeding a threshold position and peak position. If multiple candidate peaks exist simultaneously near a certain time, the arrival time of the target feature is determined according to the temporal constraint relationship: the first fixed reference response appears first, followed by the second fixed reference response, the upper interface response follows the second fixed reference response, and the lower interface response follows the upper interface response.

[0046] During this measurement cycle, the following times were extracted: first reference time (T1=7.06μs), second reference time (T2=21.14μs), upper interface time (Tu=46.18μs), and lower interface time (Td=60.57μs).

[0047] In this embodiment, the reference coordinates of the first fixed reference position and the second fixed reference position are known values ​​predetermined at the time the detection probe leaves the factory, wherein: the first reference coordinate (X1=20.00mm) and the second reference coordinate (X2=60.00mm). Therefore, the difference between the reference coordinates of the two reference positions is 40.00mm.

[0048] Based on the first reference coordinates, second reference coordinates, first reference time, and second reference time, the unit time difference displacement parameter (K) for the current measurement cycle is calculated as: K = (X2 - X1) / (T2 - T1). Substituting the data, we get: K = (60.00 - 20.00) / (21.14 - 7.06) = 2.8409 mm / μs. Here, K represents the axial displacement of approximately 2.8409 mm for every 1 microsecond increase in the response signal within the current measurement cycle. Then, based on the first reference coordinates, first reference time, and unit time difference displacement parameter (K), the coordinate reference parameter (B) for the current measurement cycle is calculated as: B = X1 - K. Substituting the data into T1, we get B = 20.00 - 2.8409 7.06 is approximately equal to -0.0568 mm. Where (B) represents the coordinate alignment correction for the current measurement cycle. Therefore, the time difference position conversion parameter generated in this measurement cycle can be expressed as: X = K T+B, where (X) represents the axial position coordinate of the corresponding feature arrival time (T).

[0049] Based on the upper interface time (Tu) and the lower interface time (Td), the coordinates of the upper interface of the sediment (Xu) and the hard interface at the bottom of the borehole (Xd) are calculated respectively. The coordinates of the upper interface of the sediment are: Xu = K Tu+B, after substituting the data, we get: Xu=2.8409 46.18 - 0.0568 = 131.21 mm; the coordinates of the hard interface at the bottom of the hole are Xd = K. Substituting Td+B into the data, we get Xd=2.8409. 60.57 - 0.0568 = 172.08 mm. Therefore, the sediment thickness (Dn) for the current measurement cycle is Dn = Xd - Xu. Substituting the data, we get Dn = 172.08 - 131.21 = 40.87 mm, which means the sediment thickness calculated for this measurement cycle is 40.87 mm.

[0050] In this embodiment, a fixed time difference-thickness conversion constant is not preset. Instead, the known coordinates of two fixed reference positions within the same measurement cycle and their measured arrival times are used to generate a time difference position conversion parameter specific to the current measurement cycle. Then, the upper interface time and the lower interface time are converted into corresponding coordinates, and finally, the difference between the two is calculated as the sediment thickness.

[0051] Embodiment 2 of the present invention provides an embodiment for detecting the thickness of sediment in pile trenches based on the fusion of anomaly contribution and participation weights. This embodiment is based on the single-cycle thickness calculation of Embodiment 1. That is, in each measurement cycle, a corresponding sediment thickness result (Dn) is obtained according to the method of Embodiment 1. Subsequently, instead of using a simple fixed threshold rejection method to handle abnormal cycles, participation weights are automatically generated for each measurement cycle based on the overall fluctuation pattern of the results of multiple measurement cycles, and then fused according to the participation weights to obtain the target sediment thickness.

[0052] In this embodiment, the following variables are used: the sediment thickness measured continuously in the nth measurement period is denoted as Dn; the central characterization of the thickness result sequence is denoted as Dc; the baseline fluctuation of the thickness result sequence is denoted as Fb; the anomaly contribution of the nth measurement period is denoted as Gn; the signal reliability of the nth measurement period is denoted as Cn; the participation weight of the nth measurement period is denoted as Wn; and the target sediment thickness after multi-period fusion is denoted as D. Among them, the center characterization quantity (Dc) is used to characterize the overall concentration position of the thickness results of multiple measurement cycles; the reference fluctuation quantity (Fb) is used to characterize the normal fluctuation level of the thickness results of multiple measurement cycles; the anomaly contribution (Gn) is used to characterize the contribution of the nth measurement cycle to the overall anomaly fluctuation; the signal reliability (Cn) is used to characterize the reliability of the waveform quality in the nth measurement cycle; and the participation weight (Wn) is used to characterize the participation of the nth measurement cycle in the final fusion.

[0053] In this embodiment, six consecutive measurement cycles are performed. For each measurement cycle, following the method in Embodiment 1, the characteristic arrival times of the four types of response signals are extracted, time difference position conversion parameters are generated, and the sediment thickness is calculated. The thickness results corresponding to the six measurement cycles are obtained, forming the following thickness fluctuation sequence: Cycle 1: (D1=40.87mm); Cycle 2: (D2=40.79mm); Cycle 3: (D3=40.92mm); Cycle 4: (D4=41.56mm); Cycle 5: (D5=40.84mm); Cycle 6: (D6=40.81mm). It can be seen from this sequence that the result of Cycle 4 is relatively larger than the other cycles. However, this embodiment does not directly use the binary judgment method of exceeding the threshold deletion, but instead first calculates its contribution to the overall fluctuation.

[0054] In this embodiment, the center characterization value Dc is taken as the median value of the thickness results over six measurement cycles. After sorting the sequence from smallest to largest, we get: 40.79mm, 40.81mm, 40.84mm, 40.87mm, 40.92mm, 41.56mm; therefore, the median value is the average of the third and fourth values, so: Dc = (40.84 + 40.87) / 2 = 40.855mm. Next, the reference fluctuation (Fb) is calculated. In this embodiment, the reference fluctuation (Fb) is taken as the average of the absolute deviations of each thickness result relative to the center characterization value.

[0055] The absolute deviation of each period was calculated to obtain the degree of deviation of the measurement results of each period relative to the central characterization quantity: (|D1-Dc|=|40.87-40.855|=0.015), (|D2-Dc|=|40.79-40.855|=0.065), (|D3-Dc|=|40.92-40.855|=0.065), (|D4-Dc|=|41.56-40.855|=0.705), (|D5-Dc|=|40.84-40.855|=0.015), (|D6-Dc|=|40.81-40.855|=0.045).

[0056] Therefore, Fb = (0.015 + 0.065 + 0.065 + 0.705 + 0.015 + 0.045) / 6 = 0.1517 mm. This indicates that the normal fluctuation range of the overall result in this testing task is approximately 0.1517 mm.

[0057] To characterize the contribution of each measurement period to the overall fluctuation, the abnormal contribution (Gn) is defined in this embodiment as: Gn=|Dn-Dc| / (Fb+ε), where ε is a very small positive number to prevent the denominator from being zero, and in this embodiment ε=0.001.

[0058] Therefore, the anomaly contribution rates for each measurement period are as follows: G1 = 0.015 / (0.1517+0.001) = 0.098, G2 = 0.065 / (0.1517+0.001) = 0.426, G3 = 0.065 / (0.1517+0.001) = 0.426, G4 = 0.705 / (0.1517+0.001) = 4.617, G5 = 0.015 / (0.1517+0.001) = 0.098. G6 = 0.045 / (0.1517 + 0.001) = 0.295. The results show that the anomalous contribution of the 4th cycle is significantly higher than that of the other cycles, indicating that this cycle has the largest anomalous contribution to the overall fluctuation.

[0059] In this embodiment, the basic participation weight can be directly generated based on the abnormal contribution level. In this embodiment, the following parameters can be extracted for each measurement period: the basic participation weight Wn for the nth measurement period represents the result of dividing the value 1 by the sum of 1 and the abnormal contribution level Gn. Therefore, the basic participation weight W1 for the first period is approximately 0.911, the basic participation weight W2 for the second period is approximately 0.701, the basic participation weight W3 for the third period is approximately 0.701, the basic participation weight W4 for the fourth period is approximately 0.178, the basic participation weight W5 for the fifth period is approximately 0.911, and the basic participation weight W6 for the sixth period is approximately 0.772.

[0060] Finally, the corresponding sediment thickness results Dn are weighted and fused according to the basic participation weight Wn of each measurement cycle to obtain the target sediment thickness D. Target sediment thickness D This represents the sum of the products of the basic participation weights Wn and the corresponding sediment thickness results Dn for each measurement cycle, divided by the sum of all basic participation weights Wn. Substituting the data from this embodiment, the numerator is: 0.911×40.87+0.701×40.79+0.701×40.92+0.178×41.56+0.911×40.84+0.772×40.81, with a calculated result of approximately 170.62; the denominator is: 0.911+0.701+0.701+0.178+0.911+0.772, with a calculated result of approximately 4.174. Therefore, the target sediment thickness D... This represents the result of dividing 170.62 by 4.174, and the final calculated value is D. It is approximately 40.88 millimeters.

[0061] Embodiment 3 provided by this invention can be used to illustrate the specific implementation of the segmented time difference position conversion parameters described in this invention. In this embodiment, in the calculation of sediment thickness in another independent pile trench, the entire reference time region is not regarded as a single linear conversion interval. Instead, the reference time region is divided into multiple time segments based on the initial calibration results, and corresponding local conversion parameters are generated for each time segment.

[0062] In this embodiment, the reference time region is divided into a first time segment, a second time segment, and a third time segment. The first time segment ranges from 0 microseconds to 20 microseconds, the second time segment ranges from 20 microseconds to 45 microseconds, and the third time segment ranges from 45 microseconds to 70 microseconds. Through initial calibration, the local unit time difference displacement parameters for each of the three segments are obtained. The unit time difference displacement parameter corresponding to the first time segment is denoted as K1, with a value of 2.840 mm / microsecond; the unit time difference displacement parameter corresponding to the second time segment is denoted as K2, with a value of 2.841 mm / microsecond; and the unit time difference displacement parameter corresponding to the third time segment is denoted as K3, with a value of 2.846 mm / microsecond. Simultaneously, the cumulative displacement length of the first time segment is pre-calculated to be 56.80 mm, and the cumulative displacement length of the second time segment is 71.03 mm.

[0063] In one measurement cycle, the upper interface time Tu is extracted as 44.20 microseconds, and the lower interface time Td is 60.40 microseconds. Since the upper interface time Tu falls into the second time segment and the lower interface time Td falls into the third time segment, this embodiment uses a cross-segment accumulation method to determine the sediment thickness. Specifically, the sediment upper interface coordinate Xu represents: the sum of the displacement obtained by multiplying the cumulative displacement length of the first time segment by the time difference obtained by subtracting the starting time of the second time segment (20 microseconds) from the upper interface time Tu, and then multiplying it by the unit time difference displacement parameter K2 corresponding to the second time segment. Substituting the values ​​in this embodiment, the sediment upper interface coordinate Xu is equal to the sum of 56.80 mm and 24.20 microseconds multiplied by 2.841 mm per microsecond, which is approximately 125.55 mm. The borehole bottom hard interface coordinate Xd represents the sum of the displacements obtained by subtracting the cumulative displacement length of the first time segment, the cumulative displacement length of the second time segment, and the lower interface time Td from the time difference obtained by subtracting the starting time of the third time segment (45 microseconds), and then multiplying each of these by the displacement parameter K3 corresponding to the third time segment. Substituting the values ​​in this embodiment, the borehole bottom hard interface coordinate Xd is equal to the sum of the results obtained by multiplying 56.80 mm, 71.03 mm, and 15.40 microseconds by 2.846 mm per microsecond, which is approximately 171.66 mm. Therefore, the sediment thickness Dn represents the difference between the borehole bottom hard interface coordinate Xd and the sediment upper interface coordinate Xu, which is approximately 46.11 mm.

[0064] As can be seen from the above process, when the positions of the upper and lower interfaces fall into different time segments, cross-segment accumulation can be performed based on the local conversion parameters of each segment and the cumulative amount of the preceding segment, thereby avoiding the use of a single global conversion parameter to cover the entire range and improving the position conversion accuracy under non-uniform propagation conditions.

[0065] To further refine the participation of waveform quality in each period's results, in Example 4, the signal reliability Cn for each measurement period is also calculated. This example illustrates the specific implementation of the signal reliability correction participation weight described in this invention. In this example, after obtaining the basic participation weight based on the thickness results of multiple measurement periods in Example 2, the basic participation weight is then corrected by combining the waveform quality of the upper and lower interface response signals for each measurement period. Specifically, waveform quality parameters, including peak amplitude, pulse width, leading edge rate of change, signal-to-noise ratio, and correlation coefficient with the template waveform, can be extracted from the upper and lower interface response signals for each measurement period. These parameters for each measurement period are then normalized and averaged to obtain the signal reliability Cn for that measurement period. In this embodiment, the signal reliability for each period is as follows: C1 for period 1 is 0.96, C2 for period 2 is 0.93, C3 for period 3 is 0.95, C4 for period 4 is 0.62, C5 for period 5 is 0.97, and C6 for period 6 is 0.94. It is evident that the fourth cycle not only showed a significant deviation in thickness but also exhibited noticeably poor waveform quality.

[0066] In this embodiment, a basic participation weight W'n is first generated based on the abnormal contribution Gn. The basic participation weight W'n represents the result of dividing the value 1 by the sum of 1 and the abnormal contribution Gn. Based on this calculation, the basic participation weight W'1 for the first period is approximately 0.911, the basic participation weight W'2 for the second period is approximately 0.701, the basic participation weight W'3 for the third period is approximately 0.701, the basic participation weight W'4 for the fourth period is approximately 0.178, the basic participation weight W'5 for the fifth period is approximately 0.911, and the basic participation weight W'6 for the sixth period is approximately 0.772. Then, the basic participation weight is corrected using the signal confidence level Cn for each period. The corrected participation weight W'n represents the result of multiplying the basic participation weight W'n by the corresponding signal confidence level Cn. Therefore, the participation weight W1 for period 1 is approximately 0.874, for period 2 it is approximately 0.652, for period 3 it is approximately 0.666, for period 4 it is approximately 0.110, for period 5 it is approximately 0.884, and for period 6 it is approximately 0.726. It can be seen that although period 4 was not directly deleted, its participation weight is significantly lower than the other periods.

[0067] Finally, the target sediment thickness D is obtained by weighted fusion of the thickness results Dn from each measurement cycle. Specifically, the target sediment thickness D represents the sum of the products of the weights Wn for each measurement cycle and the corresponding sediment thickness Dn, divided by the sum of all weights Wn. Substituting the weights and thickness results from each cycle in this embodiment, the numerator represents the sum of the products of 0.874 and 40.87, 0.652 and 40.79, 0.666 and 40.92, 0.110 and 41.56, 0.884 and 40.84, and 0.726 and 40.81, with a calculated result of approximately 159.88; the denominator represents the sum of 0.874, 0.652, 0.666, 0.110, 0.884, and 0.726, with a calculated result of approximately 3.912. Therefore, the target sediment thickness D... Approximately 159.88 divided by 3.912, resulting in 40.87 millimeters.

[0068] As can be seen from the above process, this embodiment does not use a fixed threshold to simply delete abnormal cycles. Instead, it first determines the central characterization quantity Dc and the benchmark fluctuation quantity Fb based on the overall distribution of multi-cycle results, then calculates the abnormal contribution degree Gn of each cycle, and generates the participation weight Wn by combining the signal credibility Cn of each cycle. Finally, it performs weighted fusion of the thickness results of multiple cycles based on the participation weight. In this way, unstable cycles will not participate in the final result generation through a hard switch of retention or deletion. Instead, their contribution will be automatically reduced according to their influence on the overall fluctuation and the reliability of the waveform quality. This makes it more suitable for pile trench sediment thickness detection scenarios in mud environments where there are random disturbances, mechanical oscillations, and local clutter interference.

[0069] Furthermore, the present invention also provides Embodiment Five, which can be used to describe the specific implementation of the interface type discrimination described in the present invention. In this embodiment, multiple candidate response peaks, i.e., the candidate response signals, are extracted from the preprocessed acquisition waveform within an optional measurement cycle. Then, based on the arrival time sequence characteristics, waveform continuity characteristics, and consistency characteristics of adjacent measurement cycles, it is determined which candidate response peaks belong to the sediment upper interface response signal and which belong to the bottom hard interface response signal.

[0070] In this embodiment, after preprocessing, five candidate response peaks are extracted from this measurement period. Their candidate arrival times are denoted as P1, P2, P3, P4, and P5, with corresponding arrival times of 7.05 microseconds, 21.13 microseconds, 45.90 microseconds, 46.18 microseconds, and 60.57 microseconds, respectively. P1 and P2 match the preset time windows of two fixed reference positions and are therefore determined as the first and second reference response signals, respectively. For the remaining candidate response peaks P3, P4, and P5, their interface types need to be further determined.

[0071] In this embodiment, the upper interface times obtained in the previous measurement cycle and the previous two measurement cycles are 46.16 microseconds and 46.21 microseconds, respectively, which are the upper interface identification conditions for the sediment; the lower interface times are 60.52 microseconds and 60.61 microseconds, respectively, which are the hard interface identification conditions at the bottom of the borehole. Therefore, the consistency characteristics of adjacent measurement cycles can be used as one of the criteria for interface discrimination. For candidate response peaks P3 and P4, both are located after the second reference response signal, but the arrival time of P4, 46.18 microseconds, is closer to the variation range of the upper interface times in the previous two cycles, and its waveform front is more continuous and its peak width is more stable. Therefore, P4 is determined to be the upper interface response signal, while P3 is regarded as a candidate impurity peak caused by local disturbance of the mud. For candidate response peak P5, its arrival time of 60.57 microseconds is located after the determined upper interface response signal, and it is in good agreement with the lower interface times of 60.52 microseconds and 60.61 microseconds in the previous two cycles. At the same time, its peak shape is complete and its continuity is high. Therefore, P5 is determined to be the lower interface response signal.

[0072] After completing the interface type determination, the arrival time of the feature corresponding to the upper interface response signal can be determined as 46.18 microseconds, and the arrival time of the feature corresponding to the lower interface response signal can be determined as 60.57 microseconds; alternatively, the position conversion process in Embodiment 1 or Embodiment 3 can be further substituted to obtain the coordinates of the upper interface of the sediment, the coordinates of the hard interface at the bottom of the hole, and the thickness of the sediment. Therefore, the interface type determination in this invention can be specifically implemented by first determining a fixed reference response, then narrowing the candidate range according to time constraints, and finally determining the final interface category by combining waveform continuity and consistency between adjacent periods.

[0073] The pile trench sediment thickness detection system based on magnetostrictive signal inversion runs on any computing device, such as a desktop computer, laptop computer, handheld computer, or cloud data center. The computing device includes a processor, a memory, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps in the pile trench sediment thickness detection method based on magnetostrictive signal inversion. The runnable system may include, but is not limited to, a processor, a memory, and a server cluster.

[0074] The embodiments of the present invention provide a pile trench sediment thickness detection system based on magnetostrictive signal inversion, such as... Figure 2As shown, the pile trench sediment thickness detection system based on magnetostrictive signal inversion in this embodiment includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps in the above-described pile trench sediment thickness detection method embodiment based on magnetostrictive signal inversion. The processor executes the computer program in the following system unit: The data acquisition unit is used to generate a first fixed reference position, a second fixed reference position, a sediment upper interface position, and a hole bottom hard interface position and corresponding magnetostrictive response signals when the detection probe is lowered to the bottom area of ​​the pile trench. The time calculation unit is used to extract the characteristic arrival time of each response signal; and to generate the time difference position conversion parameters for the current measurement cycle based on the reference coordinates of the first fixed reference position and the second fixed reference position, and the corresponding characteristic arrival time. The parameter conversion unit is used to convert parameters according to the time difference position, determine the coordinates of the upper interface of the sediment and the coordinates of the hard interface at the bottom of the hole, and obtain the sediment thickness of the current measurement cycle according to the difference between the coordinates of the hard interface at the bottom of the hole and the coordinates of the upper interface of the sediment. The periodic measurement unit is used to determine the target sediment thickness based on the sediment thickness corresponding to multiple measurement cycles.

[0075] In order to better unify the linear relationship and probabilistic connection between physical quantities with different units of measurement, dimensionless processing can be performed on different physical quantities.

[0076] Preferably, all undefined variables in this invention, if not explicitly defined, can be manually set thresholds.

[0077] The pile trench sediment thickness detection system based on magnetostrictive signal inversion can run on computing devices such as desktop computers, laptops, handheld computers, and cloud data centers. The system includes, but is not limited to, a processor and a memory. Those skilled in the art will understand that the examples described are merely illustrations of the pile trench sediment thickness detection method, system, and device based on magnetostrictive signal inversion, and do not constitute a limitation on the method, system, and device. It may include more or fewer components, or a combination of certain components, or different components. For example, the pile trench sediment thickness detection system based on magnetostrictive signal inversion may also include input / output devices, network access devices, buses, etc.

[0078] The present invention also provides an electronic device, a readable storage medium, and a computer program product: An electronic device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the method for detecting pile trench sediment thickness based on magnetostrictive signal inversion and the methods for each step therein.

[0079] A non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause the computer to perform the method for detecting the thickness of pile trench sediment based on magnetostrictive signal inversion and the steps thereof.

[0080] A computer program product includes a computer program that, when executed by a processor, implements the method for detecting the thickness of pile trench sediment based on magnetostrictive signal inversion and the methods for each step therein.

[0081] The term "electronic device" is intended to refer to various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. Electronic devices can also refer to various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0082] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0083] The program code used to implement the methods of the present invention can be written in any combination of one or more programming languages. This program code can be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing device, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code can be executed entirely on the machine, partially on the machine, as a standalone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0084] In the context of this invention, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0085] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0086] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with embodiments of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.

[0087] Computer systems can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other.

[0088] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete component gate circuits, transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor. This processor is the control center of the pile trench sediment thickness detection system based on magnetostrictive signal inversion, connecting various sub-regions of the system via various interfaces and lines.

[0089] The memory can be used to store the computer program and / or modules. The processor, by running or executing the computer program and / or modules stored in the memory, and by calling the data stored in the memory, realizes various functions of the pile trench sediment thickness detection method, system, and equipment based on magnetostrictive signal inversion. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created based on the use of the mobile phone (such as audio data, phonebook, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0090] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this invention can be achieved, and this is not limited herein.

[0091] This invention provides a method, system, and device for detecting pile trench sediment thickness based on magnetostrictive signal inversion. The method extracts the characteristic arrival times of each response signal; generates time difference position conversion parameters for the current measurement cycle based on the reference coordinates of the first and second fixed reference positions and the corresponding characteristic arrival times; determines the coordinates of the sediment upper interface and the bottom hard interface based on the time difference position conversion parameters, and obtains the sediment thickness for the current measurement cycle based on the difference between the bottom hard interface coordinates and the sediment upper interface coordinates; and determines the target sediment thickness based on the sediment thickness corresponding to multiple measurement cycles, thereby facilitating non-contact, high-resolution, and continuous sampling on-site detection.

[0092] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for detecting the thickness of sediment in pile trenches based on magnetostrictive signal inversion, characterized in that, The method includes: When the detection probe is lowered to the bottom area of ​​the pile trench, the detection probe forms a first fixed reference position, a second fixed reference position, a sediment upper interface position, and a hole bottom hard interface position, as well as corresponding magnetostrictive response signals. Extract the characteristic arrival times of each of the aforementioned response signals; Based on the reference coordinates of the first fixed reference position and the second fixed reference position, and the corresponding feature arrival time, the time difference position conversion parameter for the current measurement cycle is generated, wherein: the time difference position conversion parameter is used to characterize the correspondence between the feature arrival time of the response signal and the position point on the axial direction of the detection probe in the current measurement cycle; Based on the time difference position conversion parameters, determine the coordinates of the upper interface of the sediment and the coordinates of the hard interface at the bottom of the hole, and obtain the sediment thickness for the current measurement cycle based on the difference between the coordinates of the hard interface at the bottom of the hole and the coordinates of the upper interface of the sediment. The target sediment thickness is determined based on the sediment thickness corresponding to multiple measurement cycles.

2. The method for detecting the thickness of pile trench sediment based on magnetostrictive signal inversion according to claim 1, characterized in that, in: The first fixed reference position and the second fixed reference position are two position points along the axial direction of the detection probe and with different coordinates in the reference coordinate system; The arrival time of the feature is the time position in which the corresponding response signal reaches the recognition state in the acquired waveform.

3. The method for detecting the thickness of pile trench sediment based on magnetostrictive signal inversion according to claim 1, characterized in that, in, The method for extracting the characteristic arrival times of each of the aforementioned response signals is as follows: The characteristic arrival times of each response signal are extracted based on at least one of the following methods: peak position, extreme point position, zero crossover position, or related matching results.

4. The method for detecting the thickness of pile trench sediment based on magnetostrictive signal inversion according to claim 1, characterized in that, in, The method for determining the coordinates of the upper interface of the sediment and the hard interface at the bottom of the borehole is as follows: The interface type of the candidate response signal is determined by calculating at least one of the amplitude variation characteristics, waveform characteristics, timing characteristics and / or periodic characteristics of the candidate response signal; the candidate response signal that meets the condition for identifying the upper interface of the sediment is determined as the upper interface response signal, and the candidate response signal that meets the condition for identifying the hard interface at the bottom of the hole is determined as the lower interface response signal.

5. The method for detecting pile trench sediment thickness based on magnetostrictive signal inversion according to claim 1 or 4, characterized in that, in, Generate time difference position conversion parameters for the current measurement period, including: Based on the reference coordinate difference between the first fixed reference position and the second fixed reference position and the corresponding characteristic arrival time difference, the unit time difference displacement parameter is obtained. The unit time difference displacement parameter is used to characterize the axial displacement corresponding to the unit time difference in the current measurement cycle. Based on the reference coordinates of any fixed reference position, the corresponding characteristic arrival time, and the unit time difference displacement parameter, the coordinate reference parameter is obtained. The coordinate reference parameter is used to characterize the coordinate alignment relationship of the current measurement cycle. Based on the unit time difference displacement parameter and the coordinate reference parameter, the time difference position conversion parameter for the current measurement cycle is formed; Based on the time difference position conversion parameters, the characteristic arrival time of the upper interface response signal is converted into the coordinates of the upper interface of the sediment, and the characteristic arrival time of the lower interface response signal is converted into the coordinates of the hard interface at the bottom of the hole.

6. The method for detecting the thickness of pile trench sediment based on magnetostrictive signal inversion according to claim 1 or 4, characterized in that, in, The method for obtaining the upper interface response signal corresponding to the upper interface position of the sediment and the lower interface response signal corresponding to the hard interface position at the bottom of the hole is as follows: The detection probe is controlled to contact the upper interface of the sediment in order to obtain the reference position of the upper interface of the sediment. The detection probe is controlled to continue moving down to the hard interface at the bottom of the hole in order to obtain the measurement position of the hard interface at the bottom of the hole; The magnetostrictive response signal corresponding to the reference position of the upper interface of the sediment is obtained as the upper interface response signal, and the magnetostrictive response signal corresponding to the measurement position of the hard interface at the bottom of the hole is obtained as the lower interface response signal.

7. The method for detecting pile trench sediment thickness based on magnetostrictive signal inversion according to any one of claims 1 to 4, characterized in that, The determination of the target sediment thickness based on sediment thickness corresponding to multiple measurement cycles includes: A thickness fluctuation sequence is formed by the sediment thickness corresponding to multiple measurement cycles; Based on the thickness fluctuation sequence, determine the central characterization quantity representing the overall concentration degree and the benchmark fluctuation quantity representing the overall fluctuation degree; The abnormal contribution of each measurement period is determined based on the degree of deviation of the results of each measurement period from the central characterization quantity and the benchmark fluctuation. The participation weights for each measurement period are generated based on the aforementioned abnormal contribution. The sediment thickness corresponding to multiple measurement cycles is fused according to the participation weight to obtain the target sediment thickness.

8. The method for detecting the thickness of pile trench sediment based on magnetostrictive signal inversion according to any one of claims 1 to 4, characterized in that, The time difference position conversion parameter is a segmented time difference position conversion parameter: The segmented time difference position conversion parameter is obtained by dividing the characteristic arrival time difference between the first fixed reference position and the second fixed reference position into multiple time segments, and generating local conversion parameters for each time segment; when the coordinates of the upper interface of the sediment and the coordinates of the hard interface at the bottom of the hole correspond to different time segments, the sediment thickness is determined according to the cross-segment accumulation method.

9. The method for detecting the thickness of pile trench sediment based on magnetostrictive signal inversion according to claim 7, characterized in that, The process of fusing results from multiple measurement periods based on the participation weights includes: Based on at least one parameter among the parameters corresponding to the upper and lower interface response signals in each measurement cycle, a signal reliability score for each measurement cycle is generated. The parameters include amplitude, pulse width, rate of change, signal-to-noise ratio, and / or waveform similarity. The participation weights are then adjusted based on the signal reliability score.

10. A pile trench sediment thickness detection system based on magnetostrictive signal inversion, characterized in that, The pile trench sediment thickness detection system based on magnetostrictive signal inversion operates on any computing device, such as a desktop computer, a laptop computer, or a cloud data center. The computing device includes a processor, a memory, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps in the pile trench sediment thickness detection method based on magnetostrictive signal inversion as described in any one of claims 1 to 9.

11. An electronic device, comprising: At least one processor; and a memory communicatively connected to the at least one processor; The memory stores instructions executable by the at least one processor, characterized in that the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 9.

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