CN116774291B - Tunnel quality detection method, device, system and storage medium - Google Patents
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Abstract
The application relates to a tunnel quality detection method, a device, a system and a storage medium, wherein the method comprises the steps of responding to acquired primary echo data, performing basic modeling by using the primary echo data to obtain a primary model; determining the boundary of the missing part of the primary model; determining a longitudinal wave associated with a boundary of the missing portion; calculating the difference between the amplitude of the received longitudinal wave and the amplitude of the emitted longitudinal wave; and determining whether a two-phase medium joint surface exists at the boundary of the missing part according to the difference value, obtaining a supplementary boundary point, and repairing the primary model by using the supplementary boundary point to obtain a secondary model. According to the tunnel quality detection method, device and system and storage medium, the modeling process is more accurate by using the existing data to reversely screen the original data, so that more accurate tunnel quality and geological models of the environment quality of the tunnel are obtained, and further the tunnel quality is detected more comprehensively.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a method, an apparatus, a system, and a storage medium for detecting tunnel quality.
Background
The formation of geological media has a complexity, for example, the media, particularly reservoir media, are composed of both solid and fluid portions. The sandstone reservoir is composed of skeleton particles, saturated oil, gas and water in the pores, and the carbonate reservoir is composed of solid rock, and filled oil, gas and water in cracks or karst cave. They are two-phase or multiphase media (pores or cracks contain more than two fluids) consisting of two parts, a solid phase and a fluid phase.
Taking the tunnel construction process as an example, the tunnel in a geology complex area faces a complex environment, if the environment where the tunnel is simply regarded as a solid medium to be surveyed, limitation of a surveying result is necessarily caused, and the propagation environment can cause missing and non-corresponding modeling data.
Disclosure of Invention
The application provides a tunnel quality detection method, device, system and storage medium, which enable a modeling process to be more accurate by using the existing data to reversely screen original data, so as to obtain more accurate tunnel quality and a geological model of the environment quality of the tunnel, and further detect the tunnel quality more comprehensively.
The above object of the present application is achieved by the following technical solutions:
in a first aspect, the present application provides a tunnel quality detection method, including:
responding to the acquired primary echo data, and performing basic modeling by using the primary echo data to obtain a primary model;
determining the boundary of the missing part of the primary model;
determining a longitudinal wave associated with a boundary of the missing portion;
calculating the difference between the amplitude of the received longitudinal wave and the amplitude of the emitted longitudinal wave;
determining whether a two-phase medium joint surface exists at the boundary of the missing part according to the difference value to obtain a supplementary boundary point; and
and repairing the primary model by using the supplementary boundary points to obtain a secondary model.
In a possible implementation manner of the first aspect, the method further includes:
filling the boundary of the missing part by using the temporary straight line segment;
determining a longitudinal wave associated with the boundary of the missing part according to the temporary straight line segment, wherein the longitudinal wave is reflected at the temporary straight line segment;
drawing a propagation track of the longitudinal wave associated with the boundary of the missing portion by means of the temporary straight line segment; and
a longitudinal wave associated with a boundary of the missing portion is determined using the propagation trajectory.
In a possible implementation manner of the first aspect, the method further includes:
generating a coverage domain according to the propagation track, wherein the starting point of the coverage domain is a reflection point of a longitudinal wave associated with the boundary of the missing part on the temporary straight line segment, and the starting angle of the coverage domain is a determined angle taking the reflection point as the starting point;
generating a selection field using the plurality of coverage fields;
considering the longitudinal wave in the selected domain as the longitudinal wave associated with the boundary of the missing portion;
the reflection point of the longitudinal wave associated with the boundary of the missing portion is calculated and recorded as a supplementary boundary point.
In a possible implementation manner of the first aspect, the primary model is repaired with a supplementary boundary point on the temporary straight line segment near the receiving point side in a direction near the receiving point;
and in the direction away from the receiving point, repairing the primary model by using a supplementary boundary point on the temporary straight line segment, which is away from the receiving point side.
In a possible implementation manner of the first aspect, after obtaining the quadratic model, the method further includes:
generating an attenuation track of the longitudinal wave reflected at the supplementary boundary point according to the secondary model;
calculating the attenuation amount according to the attenuation track;
calculating the attenuation amount according to the amplitude of the longitudinal wave reflected at the supplementary boundary point when the longitudinal wave is emitted and the amplitude of the longitudinal wave when the longitudinal wave is detected, and giving a calculation result, wherein the calculation result comprises accuracy and inaccuracy; and
and discarding the supplementary boundary point when the accounting result is inaccurate.
In a possible implementation manner of the first aspect, the method further includes:
when the number of the inaccurate longitudinal waves is a plurality of the calculated results, calculating the aggregation degree of the inaccurate longitudinal waves of the plurality of the calculated results;
when the accumulation degree of the plurality of accounting results is less than or equal to the required accumulation degree, the plurality of accounting results with the accumulation degree less than or equal to the required accumulation degree are reserved as the supplementary boundary points related to the inaccurate longitudinal waves.
In a possible implementation manner of the first aspect, the attenuation trajectory includes a propagation distance and a number of two-phase medium junctions on the propagation trajectory.
In a second aspect, the present application provides a tunnel quality detection apparatus, including:
the first modeling unit is used for responding to the acquired primary echo data, performing basic modeling by using the primary echo data, and obtaining a primary model;
a first determining unit configured to determine a missing part of the primary model and a boundary of the missing part;
a second determination unit configured to determine a longitudinal wave associated with a boundary of the missing portion;
the first calculating unit is used for calculating the difference value between the amplitude of the received longitudinal wave and the amplitude of the emitted longitudinal wave;
the second modeling unit is used for determining whether a two-phase medium joint surface exists at the boundary of the missing part according to the difference value to obtain a supplementary boundary point; and
and the second modeling unit is used for repairing the primary model by using the supplementary boundary points to obtain a secondary model.
In a third aspect, the present application provides a tunnel quality detection system, the system comprising:
one or more memories for storing instructions; and
one or more processors configured to invoke and execute the instructions from the memory, to perform the method as described in the first aspect and any possible implementation of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium comprising:
a program which, when executed by a processor, performs a method as described in the first aspect and any possible implementation of the first aspect.
In a fifth aspect, the present application provides a computer program product comprising program instructions which, when executed by a computing device, perform a method as described in the first aspect and any possible implementation manner of the first aspect.
In a sixth aspect, the present application provides a chip system comprising a processor for implementing the functions involved in the above aspects, e.g. generating, receiving, transmitting, or processing data and/or information involved in the above methods.
The chip system can be composed of chips, and can also comprise chips and other discrete devices.
In one possible design, the system on a chip also includes memory to hold the necessary program instructions and data. The processor and the memory may be decoupled, provided on different devices, respectively, connected by wire or wirelessly, or the processor and the memory may be coupled on the same device.
Drawings
Fig. 1 is a schematic block diagram of a tunnel quality detection method according to the present application.
Fig. 2 is a schematic structural diagram of a primary model provided in the present application.
Fig. 3 is a schematic illustration of a principle of determining longitudinal waves associated with the boundaries of missing portions provided herein.
Fig. 4 is a schematic diagram of filling the boundary of the missing portion using a temporary straight line segment provided in the present application.
FIG. 5 is a schematic block diagram of a process flow for determining a longitudinal wave associated with a boundary of a missing portion using a propagation trajectory, as provided herein.
Fig. 6 is a schematic block diagram of a step flow for improving accuracy of a quadratic model provided in the present application.
Fig. 7 is a schematic diagram of an attenuation trajectory provided herein.
Fig. 8 is a schematic view of another attenuation trajectory provided herein.
Description of the embodiments
For a clearer understanding of the technical solutions in the present application, related technologies will be first described.
The propagation of seismic waves in a medium can be roughly divided into transverse waves and longitudinal waves, and the difference between the transverse waves and the longitudinal waves is as follows:
the direction of wave motion of the transverse wave is perpendicular to the direction of wave propagation, while the direction of wave motion of the longitudinal wave is the same as the direction of wave propagation. That is, a transverse wave is a wave that vibrates transversely, and a longitudinal wave is a wave that vibrates longitudinally.
Shear waves and longitudinal waves also have different properties during propagation. Transverse waves generally propagate at a slower rate than longitudinal waves, and they can propagate only in elastic media such as solids and liquids, but not in gases. In contrast, longitudinal waves can propagate in solids, liquids and gases.
The transverse wave and the longitudinal wave also differ in waveform. The waveform of a transverse wave is typically such that the peaks and troughs vibrate along a line perpendicular to the direction of wave propagation, while the waveform of a longitudinal wave is such that the peaks and troughs vibrate along the direction of wave propagation.
By comparison, it can be seen that the quality detection using seismic waves is mainly performed by means of longitudinal waves.
The tunnel quality detection method disclosed by the application is applied to quality detection equipment, and the quality detection equipment mainly comprises a seismic wave generation source, a receiver and an analyzer.
The technical solutions in the present application are described in further detail below with reference to the accompanying drawings.
The application discloses a tunnel quality detection method, please refer to fig. 1, the method comprises the following steps:
s101, responding to acquired primary echo data, and performing basic modeling by using the primary echo data to obtain a primary model;
s102, determining the boundary of a missing part and a missing part of a primary model;
s103, determining longitudinal waves associated with the boundary of the missing part;
s104, calculating the difference value between the amplitude of the received longitudinal wave and the amplitude of the emitted longitudinal wave;
s105, determining whether a two-phase medium joint surface exists at the boundary of the missing part according to the difference value to obtain a supplementary boundary point; and
s106, repairing the primary model by using the supplementary boundary points to obtain a secondary model.
In the detection process, a seismic wave generating source sends out seismic waves to a detection area, the seismic waves propagate in the tunnel and the environment where the tunnel is located and reflect at a problem or defect, the reflected seismic waves are detected by a receiver, and working data of the seismic wave generating source and working data of the receiver are sent to an analyzer for processing.
In step S101, the analyzer receives the primary echo data acquired by the receiver, and performs basic modeling using the primary echo data to obtain a primary model. The basic modeling process is as follows:
the method comprises the steps that after the seismic wave generated by a seismic wave generating source is reflected in a detection area, the seismic wave is received by a receiver, at the moment, the receiver generates primary echo data, the sending time, the sending angle, the receiving time and the receiving angle of the primary echo data are known data, and the reflection point of the seismic wave can be calculated through the four known data.
By means of these reflection points, a region can be enclosed in a plane or in a spatial region, which region is embodied in a plane as a more regular polygon and in a spatial region as a more regular polygon. For a region within a spatial range, a cross-sectional manner is used, that is, the region within the spatial range is represented by a manner in which a plurality of two-dimensional planes are superimposed.
In step S102, it is necessary to determine the missing portion of the primary model and the boundary of the missing portion, as shown in fig. 2, where the missing portion characterizes that there is a missing of the primary echo data acquired by the receiver in the primary model process, or that there is a situation that the primary echo data acquired by the receiver in the primary model process cannot be corresponding to the primary echo data, that is, the foregoing issue time, the issue angle, the receiving time, and the receiving angle cannot be related.
It should be understood that the emission angle of the seismic wave can be achieved by directional transmission of the seismic wave generation source, and for the reception angle, can be achieved by a method based on beam forming, the algorithm uses all angle compensation phases for each array element of the array to achieve scanning of the target area, then performs weighted summation on each signal, and takes the direction with the maximum beam output power as the target sound source direction.
While the common beamforming-based method has a Delay and Sum (Delay and Sum) algorithm, a minimum variance distortion-free response (Minimum Variance Distortionless Response, MVDR) algorithm, and a controllable response power phase transformation (SRP-phas) algorithm.
The following discussion of several beamforming algorithms is based on the transformation of geometric relationships for other microphone arrays on a uniform linear array microphone array.
Assume that in a uniform linear array consisting of 0, 1..m-1 array elements, the sound source signals received by the reference array elements areThen the signal received by the M th array element is +.>Then the fourier transform of a signal of a certain frequency (narrowband) is:
where N corresponds to each array element, then the signal received by the microphone array at this time is:
then we define the array manifold as:the weight of each array element is the phase delay to be compensated for by the array element relative to the reference array element, so the weight is the conjugate transpose of the array manifold.
From the plurality of array elements, the time of reception, the angle of reception and the amplitude (amplitude) of the received seismic wave can be determined.
As for the uncorrelated case mentioned in the foregoing, the main reason is that the attenuation of the partial echo is difficult to determine. Since the longitudinal wave in the seismic wave is attenuated during the propagation, the attenuation amount is related to the propagation distance and the medium condition on the propagation path, and when the medium condition on the propagation path is not clear, the problem that the attenuation condition cannot be determined also occurs.
In step S103, the longitudinal waves associated with the boundary of the missing portion are determined, as shown in fig. 3, where the determination is a range determination manner, that is, the longitudinal waves possibly associated with the boundary of the missing portion are all found out by the boundary of the missing portion, and then association analysis is performed.
In step S104, the difference between the amplitude of the received longitudinal wave and the amplitude of the transmitted longitudinal wave is calculated, and the purpose of calculating the difference is to perform subsequent relational matching, where the transmitted wave and the echo are exemplified by attenuation during propagation, and the lengths of propagation paths during attenuation are positively correlated.
The attenuation is particularly obvious at the two-phase medium junction, namely the attenuation can be considered to be composed of two parts of propagation path attenuation and two-phase medium junction attenuation, and the two-phase medium junction attenuation can refer to related parameters of adjacent points in a primary modeling process.
Step S105 is then performed, where it is determined, according to the difference, whether there is a two-phase medium junction at the boundary of the missing portion, so as to obtain a complementary boundary point, where it needs to be clear that, in the matching process of the transmitted wave and the echo, the number of transmitted waves will generally be greater than the number of echoes, because part of the echoes may be undetected due to attenuation or undetected due to other reasons.
This results in the matching of a transmission wave with echoes, and the matching of a transmission wave with a plurality of echoes and a plurality of transmission waves with an echo may occur. This results in the resulting supplemental boundary points being apparent to the actual supplemental boundary points.
For the processing of these supplemental boundary points, the following is used:
repairing the primary model by using a supplementary boundary point on the temporary straight line segment, which is close to the receiving point, in the direction close to the receiving point;
and in the direction away from the receiving point, repairing the primary model by using a supplementary boundary point on the temporary straight line segment, which is away from the receiving point side.
This approach enables the area of the primary model to be as large as possible, since for a defective area it means that a certain area is not satisfactory, for which the boundary should be described as far as possible, since there is no clear limit between the defective area and the normal area.
Or it may be described that there is a transition region between the defective region and the normal region, which is a mixture of the defective region and the normal region, and there is still a certain defect, so that it is necessary to make the area of the primary model as large as possible.
And finally, executing step S106, wherein the primary model is repaired by using the supplementary boundary points to obtain a secondary model, and after the boundary of the missing part is supplemented by the supplementary boundary points, the supplementary boundary points are sequentially connected by using line segments to enable the primary model to be closed, and the closed primary model is called as the secondary model.
In some examples, the following steps are added:
s201, filling the boundary of the missing part by using a temporary straight line segment;
s202, determining longitudinal waves associated with the boundary of the missing part according to the temporary straight line segment, wherein the longitudinal waves are reflected at the temporary straight line segment;
s203, drawing a propagation track of the longitudinal wave associated with the boundary of the missing part by means of the temporary straight line segment; and
s204, determining longitudinal waves associated with the boundary of the missing part by using the propagation track.
The contents of steps S201 to S204 give a specific way to fill the boundary of the missing portion, first fill the boundary of the missing portion with a temporary straight line segment, as shown in fig. 4, and then determine the longitudinal wave associated with the boundary of the missing portion, that is, first consider the temporary straight line segment as the boundary of the missing portion, and then match the transmitted wave with the echo.
The specific matching process is as follows:
the propagation trajectory of the longitudinal wave associated with the boundary of the missing portion is plotted using the temporary straight line segment, at which the longitudinal wave is reflected, and the supplemental boundary point mentioned in the foregoing temporarily considers it to appear on the temporary straight line segment.
The temporary straight line segment has a plurality of supplementary boundary points, and propagation tracks of the longitudinal wave associated with the boundary of the missing part can be obtained by suspicious based on the supplementary boundary points, and although the propagation tracks are inaccurate at this time, the transmitted wave and the echo can be matched by the aid of the supplementary boundary points.
Finally, in step S204, the propagation trajectory is used to determine the longitudinal wave associated with the boundary of the missing portion, please refer to fig. 5, in the following manner:
s301, generating a coverage domain according to the propagation track, wherein the starting point of the coverage domain is a reflection point of a longitudinal wave associated with the boundary of the missing part on the temporary straight line segment, and the starting angle of the coverage domain is a determined angle taking the reflection point as the starting point;
s302, generating a selection domain by using a plurality of coverage domains;
s303, regarding the longitudinal wave in the selected domain as the longitudinal wave associated with the boundary of the missing part;
s304, calculating the reflection point of the longitudinal wave associated with the boundary of the missing part, and recording as a supplementary boundary point.
In step S301, a coverage area is generated according to the propagation trajectory, where a start point of the coverage area is a reflection point of the longitudinal wave associated with the boundary of the missing portion on the temporary straight line segment, and a start angle of the coverage area is a certain angle with the reflection point as a start point.
The multiple coverage areas are then used to generate the selection field, i.e. the content of step S302, in which the multiple coverage areas have overlapping areas on the boundaries, and these overlapping areas are fused together.
In step S303, the longitudinal wave in the selected domain is regarded as the longitudinal wave associated with the boundary of the missing portion, and specific judgment rules need to be described here, for example:
considering the longitudinal wave completely falling into the selected domain as the longitudinal wave associated with the boundary of the missing part according to the falling rule;
according to the length rule, a longitudinal wave (including a transmission wave and an echo) falling within a length meeting the requirement is regarded as a longitudinal wave associated with the boundary of the missing portion.
Finally, in step S304, reflection points of the longitudinal wave associated with the boundary of the missing portion are calculated and recorded as supplementary boundary points.
By the method, a preliminary matching relationship can be established in the matching process of the transmitted wave and the echo, and then the accurate matching is carried out in the matching relationship.
In some examples, after obtaining the quadratic model, please refer to fig. 6, the following steps are added:
s401, generating a supplementary boundary point and an attenuation track of a longitudinal wave reflected at the supplementary boundary point according to the quadratic model;
s402, calculating the attenuation amount according to the attenuation track;
s403, calculating the attenuation amount according to the amplitude of the longitudinal wave reflected at the supplementary boundary point when the longitudinal wave is emitted and the amplitude of the longitudinal wave when the longitudinal wave is detected, and giving out a calculation result, wherein the calculation result comprises accuracy and inaccuracy; and
and S404, discarding the supplementary boundary point when the accounting result is inaccurate.
The contents of steps S401 to S404 are to correct the secondary model to improve the accuracy of the secondary model. The specific mode is that the attenuation amount is calculated according to the attenuation track, then the attenuation amount is calculated, the corresponding supplementary boundary point is processed according to the accounting result, the supplementary boundary point is reserved when the accounting result is accurate, and the supplementary boundary point is abandoned when the accounting result is inaccurate.
It should be understood that in the foregoing, in the matching process of the transmission wave and the echo, the matching of the transmission wave and the echo is performed in a fuzzy processing manner, that is, in a range matching manner, which results in that a matching error exists between a part of the transmission wave and the echo. These matching errors can lead to a reduced degree of accuracy of the quadratic model. The accuracy of the supplemental boundary points is thus reconfirmed in this application using a manner of calculating the amount of attenuation from the attenuation trajectory.
Discarding the supplementary boundary points when the accounting result is inaccurate, repeating the process to match the radio wave and the echo again to obtain additional supplementary boundary points and accounting the obtained supplementary boundary points; alternatively, when the supplemental boundary points are used to patch the primary model, some of the discarded supplemental boundary points are retrieved and accounted for.
In some possible implementations, the decay trajectory includes a propagation distance and a number of two-phase medium junctions on the propagation trajectory, as shown in fig. 7 and 8.
In a possible implementation manner of the first aspect, the method further includes:
when the number of the inaccurate longitudinal waves is a plurality of the calculated results, calculating the aggregation degree of the inaccurate longitudinal waves of the plurality of the calculated results;
when the accumulation degree of the plurality of accounting results is less than or equal to the required accumulation degree, the plurality of accounting results with the accumulation degree less than or equal to the required accumulation degree are reserved as the supplementary boundary points related to the inaccurate longitudinal waves.
The application also provides a tunnel quality detection device, including:
the first modeling unit is used for responding to the acquired primary echo data, performing basic modeling by using the primary echo data, and obtaining a primary model;
a first determining unit configured to determine a missing part of the primary model and a boundary of the missing part;
a second determination unit configured to determine a longitudinal wave associated with a boundary of the missing portion;
the first calculating unit is used for calculating the difference value between the amplitude of the received longitudinal wave and the amplitude of the emitted longitudinal wave;
the second modeling unit is used for determining whether a two-phase medium joint surface exists at the boundary of the missing part according to the difference value to obtain a supplementary boundary point; and
and the second modeling unit is used for repairing the primary model by using the supplementary boundary points to obtain a secondary model.
Further, the method further comprises the following steps:
the filling unit is used for filling the boundary of the missing part by using the temporary straight line segment;
a third determination unit configured to determine a longitudinal wave associated with a boundary of the missing portion from the temporary straight line segment, the longitudinal wave being reflected at the temporary straight line segment;
a first processing unit for drawing a propagation trajectory of a longitudinal wave associated with a boundary of the missing portion by means of the temporary straight line segment; and
and a fourth determining unit for determining a longitudinal wave associated with the boundary of the missing portion using the propagation trajectory.
Further, the method further comprises the following steps:
the second processing unit is used for generating a coverage domain according to the propagation track, wherein the starting point of the coverage domain is a reflection point of a longitudinal wave associated with the boundary of the missing part on the temporary straight line segment, and the starting angle of the coverage domain is a determined angle taking the reflection point as a starting point;
a third processing unit for generating a selection field using the plurality of coverage fields;
a fourth processing unit for regarding the longitudinal wave in the selected domain as a longitudinal wave associated with the boundary of the missing portion;
and a second calculation unit for calculating reflection points of the longitudinal wave associated with the boundary of the missing portion, and recording as supplementary boundary points.
Further, in the direction close to the receiving point, repairing the primary model by using a supplementary boundary point close to the receiving point side on the temporary straight line segment;
and in the direction away from the receiving point, repairing the primary model by using a supplementary boundary point on the temporary straight line segment, which is away from the receiving point side.
Further, the method further comprises the following steps:
a third calculation unit for generating, according to the quadratic model, a supplementary boundary point and an attenuation trajectory of the longitudinal wave reflected at the supplementary boundary point;
a fourth calculation unit for calculating an attenuation amount according to the attenuation trajectory;
an accounting unit for accounting the attenuation amount according to the amplitude of the longitudinal wave reflected at the supplementary boundary point when emitted and the amplitude when detected, and giving an accounting result including accuracy and inaccuracy; and
a first selection unit for discarding the supplemental boundary point when the accounting result is inaccurate.
Further, the method further comprises the following steps:
a fifth calculation unit for calculating, when the number of the longitudinal waves whose accounting result is inaccurate is plural, the degree of aggregation of the longitudinal waves whose accounting result is inaccurate;
and the second selection unit is used for reserving the supplementary boundary points associated with the longitudinal waves, of which the aggregation degree is less than or equal to the required aggregation degree, when the aggregation degree of the plurality of the longitudinal waves of which the accounting results are inaccurate is less than or equal to the required aggregation degree.
Further, the attenuation trajectory includes a propagation distance and a number of two-phase medium junctions on the propagation trajectory.
In one example, the unit in any of the above apparatuses may be one or more integrated circuits configured to implement the above methods, for example: one or more application specific integrated circuits (application specific integratedcircuit, ASIC), or one or more digital signal processors (digital signal processor, DSP), or one or more field programmable gate arrays (field programmable gate array, FPGA), or a combination of at least two of these integrated circuit forms.
For another example, when the units in the apparatus may be implemented in the form of a scheduler of processing elements, the processing elements may be general-purpose processors, such as a central processing unit (central processing unit, CPU) or other processor that may invoke the program. For another example, the units may be integrated together and implemented in the form of a system-on-a-chip (SOC).
Various objects such as various messages/information/devices/network elements/systems/devices/actions/operations/processes/concepts may be named in the present application, and it should be understood that these specific names do not constitute limitations on related objects, and that the named names may be changed according to the scenario, context, or usage habit, etc., and understanding of technical meaning of technical terms in the present application should be mainly determined from functions and technical effects that are embodied/performed in the technical solution.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It should also be understood that in various embodiments of the present application, first, second, etc. are merely intended to represent that multiple objects are different. For example, the first time window and the second time window are only intended to represent different time windows. Without any effect on the time window itself, the first, second, etc. mentioned above should not impose any limitation on the embodiments of the present application.
It is also to be understood that in the various embodiments of the application, terms and/or descriptions of the various embodiments are consistent and may be referenced to one another in the absence of a particular explanation or logic conflict, and that the features of the various embodiments may be combined to form new embodiments in accordance with their inherent logic relationships.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a computer-readable storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned computer-readable storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The present application also provides a computer program product comprising instructions that, when executed, cause the tunnel quality detection system to perform operations of the tunnel quality detection system corresponding to the above-described method.
The application also provides a tunnel quality detection system, which comprises:
one or more memories for storing instructions; and
one or more processors configured to invoke and execute the instructions from the memory to perform the method as described above.
The present application also provides a chip system comprising a processor for implementing the functions involved in the above, e.g. generating, receiving, transmitting, or processing data and/or information involved in the above method.
The chip system can be composed of chips, and can also comprise chips and other discrete devices.
The processor referred to in any of the foregoing may be a CPU, microprocessor, ASIC, or integrated circuit that performs one or more of the procedures for controlling the transmission of feedback information described above.
In one possible design, the system on a chip also includes memory to hold the necessary program instructions and data. The processor and the memory may be decoupled, and disposed on different devices, respectively, and connected by wired or wireless means, so as to support the chip system to implement the various functions in the foregoing embodiments. In the alternative, the processor and the memory may be coupled to the same device.
Optionally, the computer instructions are stored in a memory.
Alternatively, the memory may be a storage unit in the chip, such as a register, a cache, etc., and the memory may also be a storage unit in the terminal located outside the chip, such as a ROM or other type of static storage device, a RAM, etc., that may store static information and instructions.
It is to be understood that the memory in this application may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory.
The nonvolatile memory may be a ROM, a Programmable ROM (PROM), an Erasable Programmable ROM (EPROM), an electrically erasable programmable EPROM (EEPROM), or a flash memory.
The volatile memory may be RAM, which acts as external cache. There are many different types of RAM, such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), and direct memory bus RAM.
The embodiments of the present invention are all preferred embodiments of the present application, and are not intended to limit the scope of the present application in this way, therefore: all equivalent changes in structure, shape and principle of this application should be covered in the protection scope of this application.
Claims (10)
1. A tunnel quality detection method, comprising:
responding to the acquired primary echo data, and performing basic modeling by using the primary echo data to obtain a primary model;
determining the boundary of the missing part of the primary model;
determining a longitudinal wave associated with a boundary of the missing portion;
calculating the difference between the amplitude of the received longitudinal wave and the amplitude of the emitted longitudinal wave;
determining whether a two-phase medium joint surface exists at the boundary of the missing part according to the difference value to obtain a supplementary boundary point; and
and repairing the primary model by using the supplementary boundary points to obtain a secondary model.
2. The tunnel quality detection method according to claim 1, characterized by further comprising:
filling the boundary of the missing part by using the temporary straight line segment;
preliminarily determining longitudinal waves associated with the boundary of the missing part according to the temporary straight line segment, wherein the longitudinal waves are reflected at the temporary straight line segment;
drawing a propagation track of the longitudinal wave associated with the boundary of the preliminarily determined missing portion by means of the temporary straight line segment; and
the propagation trajectory is used to finalize the longitudinal wave associated with the boundary of the missing portion.
3. The tunnel quality detection method according to claim 2, characterized by further comprising:
generating a coverage domain according to the propagation track, wherein the starting point of the coverage domain is a preliminarily determined reflection point of the longitudinal wave associated with the boundary of the missing part on the temporary straight line segment, and the starting angle of the coverage domain is a determined angle taking the reflection point as the starting point;
generating a selection field using the plurality of coverage fields;
regarding the longitudinal wave in the selected domain as the finally determined longitudinal wave associated with the boundary of the missing part;
and calculating the finally determined reflection point of the longitudinal wave associated with the boundary of the missing part, and recording the reflection point as a supplementary boundary point.
4. The tunnel quality detection method according to claim 3, wherein the primary model is repaired using a supplementary boundary point on the temporary straight line segment near the receiving point side in the direction near the receiving point;
and in the direction away from the receiving point, repairing the primary model by using a supplementary boundary point on the temporary straight line segment, which is away from the receiving point side.
5. The tunnel quality inspection method according to any one of claims 1 to 4, further comprising, after obtaining the quadratic model:
generating an attenuation track of the longitudinal wave reflected at the supplementary boundary point according to the secondary model;
calculating the attenuation amount according to the attenuation track;
calculating the attenuation amount according to the amplitude of the longitudinal wave reflected at the supplementary boundary point when the longitudinal wave is emitted and the amplitude of the longitudinal wave when the longitudinal wave is detected, and giving a calculation result, wherein the calculation result comprises accuracy and inaccuracy; and
and discarding the supplementary boundary point when the accounting result is inaccurate.
6. The tunnel quality detection method according to claim 5, further comprising:
when the number of the inaccurate longitudinal waves is a plurality of the calculated results, calculating the aggregation degree of the inaccurate longitudinal waves of the plurality of the calculated results;
when the accumulation degree of the plurality of accounting results is less than or equal to the required accumulation degree, the plurality of accounting results with the accumulation degree less than or equal to the required accumulation degree are reserved as the supplementary boundary points related to the inaccurate longitudinal waves.
7. The method of claim 5, wherein the decay trace comprises a propagation distance and a number of interfaces between two media on the propagation trace.
8. A tunnel quality inspection device, comprising:
the first modeling unit is used for responding to the acquired primary echo data, performing basic modeling by using the primary echo data, and obtaining a primary model;
a first determining unit configured to determine a missing part of the primary model and a boundary of the missing part;
a second determination unit configured to determine a longitudinal wave associated with a boundary of the missing portion;
the first calculating unit is used for calculating the difference value between the amplitude of the received longitudinal wave and the amplitude of the emitted longitudinal wave;
the second modeling unit is used for determining whether a two-phase medium joint surface exists at the boundary of the missing part according to the difference value to obtain a supplementary boundary point; and
and the second modeling unit is used for repairing the primary model by using the supplementary boundary points to obtain a secondary model.
9. A tunnel quality inspection system, the system comprising:
one or more memories for storing instructions; and
one or more processors to invoke and execute the instructions from the memory to perform the method of any of claims 1 to 7.
10. A computer-readable storage medium, the computer-readable storage medium comprising:
program which, when executed by a processor, performs a method according to any one of claims 1 to 7.
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| US20070095139A1 (en) * | 2005-10-27 | 2007-05-03 | Fujimitsu Engineering Co., Ltd. | Method and apparatus for non-destructive testing of concrete structures |
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