CN113945987A - Method and device for detecting disease geologic body and electronic equipment - Google Patents
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Abstract
The embodiment of the application provides a method and a device for detecting a diseased geologic body and electronic equipment, wherein after ground penetrating radar wave field data of a space where a geologic body to be detected is located are obtained, Seislet transformation is utilized to carry out shaping regularization processing on the ground penetrating radar wave field data to obtain diffracted wave separation data, and offset imaging is carried out on the diffracted wave separation data to obtain an imaging result of the geologic body to be detected; and carrying out disease detection on the geologic body to be detected according to the imaging result. The method and the device can utilize Seislet transformation to carry out shaping regularization processing on the ground penetrating radar wave field data, fully separate out diffracted wave separation data from the ground penetrating radar wave field data, and then carry out offset imaging on the diffracted wave separation data, so that accurate detection can be carried out on diseases of the geologic body according to imaging results.
Description
Technical Field
The invention relates to the technical field of high-resolution imaging, in particular to a method and a device for detecting a diseased geologic body and electronic equipment.
Background
Urban underground disease geologic bodies such as goafs, cracks and the like have close relation with the production and life of people, and the accurate positioning of the geologic bodies is a vital work, so that possible geological disasters are avoided, and risks are avoided. The diffracted wave is the seismic response of the small-scale geologic body, contains the structural information of the small-scale geologic body, and can be used for accurately positioning the non-uniform discontinuous geologic body and providing stronger illumination of the underground space. However, for the ground penetrating radar wave field data, the diffracted wave is attenuated faster and has weaker energy in the propagation process, and is easily covered by the reflected wave with strong energy. Therefore, the diffracted waves need to be separated from the wave field data of the ground penetrating radar so as to enhance the diffraction response, so that the diffracted waves can be imaged at high precision, and the disease of the geologic body can be detected accurately.
In the existing method, a plane wave decomposition method considers the problem that a stable phase method is applied to estimate a local inclination angle field of a reflected wave, so that the estimation stability of the inclination angle field is poor, and the problems of smooth radius and resolution ratio need to be balanced are solved, thereby influencing the separation of diffracted waves and being not beneficial to the detection of a geologic body.
Disclosure of Invention
In view of the above, an object of the present invention is to provide a method, an apparatus, and an electronic device for detecting a disease geologic body, which better separate diffracted wave separation data from ground penetrating radar wave field data, and perform high-precision imaging by using the diffracted wave separation data, so as to accurately detect a disease of the geologic body according to an imaging result.
In a first aspect, an embodiment of the present invention provides a method for detecting a diseased geologic body, where the method includes: acquiring the wave field data of a ground penetrating radar in the space where the geologic body to be detected is located; shaping and regularizing the wave field data of the ground penetrating radar by using Seislet transformation to obtain diffracted wave separation data; carrying out offset imaging on the diffracted wave separation data to obtain an imaging result of the geologic body to be detected; and carrying out disease detection on the geologic body to be detected according to the imaging result.
The step of performing reshaping regularization processing on the ground penetrating radar wave field data by utilizing Seislet transformation to obtain diffracted wave separation data comprises the following steps of: carrying out equation conversion on the plane wave differential equation to obtain a plane wave decomposition operator; constructing a least square optimization model based on the wave field data of the ground penetrating radar and a plane wave decomposition operator; constructing an iterative solution function about diffracted wave separation data by utilizing Seislet transformation on a least square optimization model; solving the optimal value of the iterative solution function by using a shaping regularization method; the optimal value is used as diffracted wave separation data.
The least squares optimization model is represented by:
wherein d isobsRepresenting the ground penetrating radar wave field data, P representing the plane wave decomposition operator, d representing the diffracted wave separation data.
The iterative solution function is represented by:
wherein,
wherein F represents a predetermined threshold τnAssociated soft threshold operator, x represents spatial direction, A represents forward transform of Seislet transform-1Denotes the inverse transformation of the Seislet transform, λ denotes a constant factor, B denotes an inverse transfer operator, and B ═ PTS denotes a reshaping regularization factor, dnRepresenting the nth diffracted wave separation data, dn+1Represents the n +1 th diffracted wave separation data.
After the ground penetrating radar wave field data of the space where the geologic body to be detected is located is obtained, the method further comprises the following steps: and denoising the wave field data of the ground penetrating radar.
The step of performing offset imaging on the diffracted wave separation data includes: diffraction wave separation data were imaged off-set using Kirchhoff's off-set algorithm.
In a second aspect, an embodiment of the present invention further provides a device for detecting a diseased geologic body, where the device includes: the acquisition module is used for acquiring the wave field data of the ground penetrating radar in the space where the geologic body to be detected is located; the processing module is used for carrying out shaping regularization processing on the wave field data of the ground penetrating radar by utilizing Seislet transformation to obtain diffracted wave separation data; the imaging module is used for carrying out offset imaging on the diffracted wave separation data to obtain an imaging result of the geologic body to be detected; and the detection module is used for carrying out disease detection on the geologic body to be detected according to the imaging result.
The above-mentioned device still includes: and the denoising module is used for denoising the wave field data of the ground penetrating radar.
In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes a processor and a memory, where the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the foregoing method.
In a fourth aspect, the embodiments of the present invention also provide a computer-readable storage medium, where the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are called and executed by a processor, the computer-executable instructions cause the processor to implement the above-mentioned method.
The embodiment of the invention has the following beneficial effects:
the embodiment of the application provides a method and a device for detecting a diseased geologic body and electronic equipment, wherein after ground penetrating radar wave field data of a space where a geologic body to be detected is located are obtained, Seislet transformation is utilized to carry out shaping regularization processing on the ground penetrating radar wave field data to obtain diffracted wave separation data, and offset imaging is carried out on the diffracted wave separation data to obtain an imaging result of the geologic body to be detected; and carrying out disease detection on the geologic body to be detected according to the imaging result. The method and the device can utilize Seislet transformation to carry out shaping regularization processing on the ground penetrating radar wave field data, fully separate out diffracted wave separation data from the ground penetrating radar wave field data, and then carry out offset imaging on the diffracted wave separation data, so that accurate detection can be carried out on diseases of the geologic body according to imaging results.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for detecting a diseased geologic body according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a device for detecting a diseased geologic body according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of another apparatus for detecting a diseased geologic body according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Considering that the existing plane wave decomposition method cannot fully separate diffracted wave separation data from the wave field data of the ground penetrating radar; based on the above, the method, the device and the electronic device for detecting the disease geologic body provided by the embodiments of the present invention perform shaping regularization processing on the wave field data of the ground penetrating radar by using Seislet transformation, fully separate diffracted wave separation data from the wave field data of the ground penetrating radar, and perform offset imaging by using the diffracted wave separation data, so that the disease of the geologic body can be accurately detected according to an imaging result.
The embodiment provides a method for detecting a diseased geologic body, wherein, referring to a flow chart of the method for detecting the diseased geologic body shown in fig. 1, the method specifically includes the following steps:
step S102, acquiring wave field data of a ground penetrating radar in a space where a geologic body to be detected is located;
the wave field data of the ground penetrating radar is obtained by reflecting radar data sent by the ground penetrating radar arranged in the space where the geologic body is located on the space surface of the geologic body.
Generally, after the ground penetrating radar wave field data is acquired, denoising processing needs to be performed on the data, and abnormal noise data or noise data which do not meet requirements are removed, so that diffracted wave separation data are better separated from the ground penetrating radar wave field data after denoising processing, and accurate imaging is performed.
Step S104, shaping and regularizing ground penetrating radar wave field data by utilizing Seislet transformation to obtain diffracted wave separation data;
the Seislet transformation is a wavelet mathematical transformation method, data are analyzed mainly according to the difference of local inclination angles of earthquake homophase axes on different wavelet levels, and as most of wave field data of the ground penetrating radar reflected under the urban underground disease geologic body are wavelet level wave field data, the Seislet transformation is more favorable for separating diffracted wave separation data from the wave field of the ground penetrating radar.
In the present embodiment, the step S104 can be realized through the steps a1 to a 5:
step A1, performing equation conversion on the plane wave differential equation to obtain a plane wave decomposition operator;
the plane wave differential equation can be expressed as:
where m represents wavefield data, t represents time, x represents spatial direction, and σ represents local dipA field; in this embodiment, the m wave field data refers to the above ground penetrating radar wave field data.
Performing equation conversion on the plane wave differential equation to obtain a plane wave decomposition operator P, where the plane wave decomposition operator P can be expressed by the following formula:
wherein, PN-1,N(σN-1) Represents the predictor for predicting the nth track from the nth-1 track using the local dip angle sigma.
The above equation conversion process for obtaining the plane wave decomposition operator based on the plane wave differential equation is the same as the existing equation conversion process, and is not described herein again.
A2, constructing a least square optimization model based on ground penetrating radar wave field data and a plane wave decomposition operator;
in particular implementations, the least squares optimization model can be represented by:
wherein d isobsRepresenting the ground penetrating radar wave field data, P representing the plane wave decomposition operator, d representing the diffracted wave separation data.
Step A3, constructing an iterative solution function about diffracted wave separation data by utilizing Seislet transformation on a least square optimization model;
in particular implementations, the iterative solution function can be represented by:
wherein,
f represents a sum of a predetermined threshold τnAssociated soft threshold operator, x represents spatial direction, A represents forward transform of Seislet transform-1Representing the inverse of the Seislet transformTransformation, λ represents a constant factor, B represents an inverse propagation operator, and B ═ PTS denotes a reshaping regularization factor, dnRepresenting the nth diffracted wave separation data, dn+1Represents the n +1 th diffracted wave separation data.
In actual use, in iterative solution functions
Can be understood as a shaping regularization factor, i.e. an iterative function (d) of conventional shaping regularization by the Seislet transformn+1＝S[dn+B(dn-Pdobs)]) The shaping regularization factor S in (1) is improved to obtain a new iterative solution function.
Step A4, solving the optimal value of the iterative solution function by using a shaping regularization method;
compared with the existing regularization method, the shaping regularization method can select regularization operators more simply, so the method is widely applied to estimation of seismic attributes, seismic multiple attenuation and time-frequency analysis.
And step A5, using the optimal value as diffracted wave separation data.
S106, carrying out offset imaging on the diffracted wave separation data to obtain an imaging result of the geologic body to be detected;
in this embodiment, the Kirchhoff migration algorithm may be used to perform migration imaging on the diffracted wave separation data to obtain an imaging result of the geologic body to be detected, and when the imaging result is actually used, other migration algorithms may also be used to perform migration imaging on the diffracted wave separation data, which is not limited herein.
And S108, carrying out disease detection on the geologic body to be detected according to the imaging result.
Technicians can analyze which disease the geologic body to be detected is according to the imaging result that shows to can be better do protection work, guarantee people's interests and safety.
The embodiment of the application provides a method for detecting a disease geologic body, wherein after ground penetrating radar wave field data of a space where a geologic body to be detected is located are obtained, shaping regularization processing is carried out on the ground penetrating radar wave field data by utilizing Seislet transformation to obtain diffracted wave separation data, and offset imaging is carried out on the diffracted wave separation data to obtain an imaging result of the geologic body to be detected; and carrying out disease detection on the geologic body to be detected according to the imaging result. The method and the device can utilize Seislet transformation to carry out shaping regularization processing on the ground penetrating radar wave field data, fully separate out diffracted wave separation data from the ground penetrating radar wave field data, and then carry out offset imaging on the diffracted wave separation data, so that accurate detection can be carried out on diseases of the geologic body according to imaging results.
Corresponding to the method embodiment, the embodiment of the invention provides a device for detecting a diseased geologic body, fig. 2 shows a schematic structural diagram of the device for detecting a diseased geologic body, and as shown in fig. 2, the device for detecting a diseased geologic body comprises:
the acquisition module 202 is used for acquiring the wave field data of the ground penetrating radar in the space where the geologic body to be detected is located;
the processing module 204 is configured to perform shaping regularization processing on the ground penetrating radar wave field data by using Seislet transformation to obtain diffracted wave separation data;
the imaging module 206 is configured to perform offset imaging on the diffracted wave separation data to obtain an imaging result of the geologic body to be detected;
and the detection module 208 is used for detecting diseases of the geologic body to be detected according to the imaging result.
The embodiment of the application provides a device for detecting a diseased geologic body, wherein after the data of a ground penetrating radar wave field of a space where a geologic body to be detected is located are obtained, the data of the ground penetrating radar wave field are shaped and regularized by utilizing Seislet transformation to obtain diffracted wave separation data, and the diffracted wave separation data are subjected to offset imaging to obtain an imaging result of the geologic body to be detected; and carrying out disease detection on the geologic body to be detected according to the imaging result. The method and the device can utilize Seislet transformation to carry out shaping regularization processing on the ground penetrating radar wave field data, fully separate out diffracted wave separation data from the ground penetrating radar wave field data, and then carry out offset imaging on the diffracted wave separation data, so that accurate detection can be carried out on diseases of the geologic body according to imaging results.
On the basis of fig. 2, fig. 3 shows a schematic structural diagram of another apparatus for detecting a diseased geologic body, and as shown in fig. 3, the apparatus for detecting a diseased geologic body comprises: and the denoising module 300 is connected with the obtaining module 202 and the processing module 204 and is used for denoising the ground penetrating radar wave field data.
The device for detecting the diseased geologic body provided by the embodiment of the invention has the same technical characteristics as the method for detecting the diseased geologic body provided by the embodiment, so that the same technical problems can be solved, and the same technical effects can be achieved.
The application embodiment further provides an electronic device, as shown in fig. 4, which is a schematic structural diagram of the electronic device, wherein the electronic device includes a processor 121 and a memory 120, the memory 120 stores computer-executable instructions capable of being executed by the processor 121, and the processor 121 executes the computer-executable instructions to implement the method for detecting a diseased geologic body.
In the embodiment shown in fig. 4, the electronic device further comprises a bus 122 and a communication interface 123, wherein the processor 121, the communication interface 123 and the memory 120 are connected by the bus 122.
The Memory 120 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 123 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like may be used. The bus 122 may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus 122 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one double-headed arrow is shown in FIG. 4, but that does not indicate only one bus or one type of bus.
The processor 121 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 121. The Processor 121 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and the processor 121 reads information in the memory and completes the steps of the method for detecting a diseased geologic body of the foregoing embodiment in combination with hardware thereof.
The embodiment of the present application further provides a computer-readable storage medium, where the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are called and executed by a processor, the computer-executable instructions cause the processor to implement the method for detecting a diseased geologic body, where specific implementation may refer to the foregoing method embodiment, and details are not described herein again.
The method and the apparatus for detecting a diseased geologic body provided in the embodiment of the present application, and the computer program product of the electronic device include a computer-readable storage medium storing a program code, where instructions included in the program code may be used to execute the method described in the foregoing method embodiment, and specific implementation may refer to the method embodiment, and will not be described herein again.
Unless specifically stated otherwise, the relative steps, numerical expressions, and values of the components and steps set forth in these embodiments do not limit the scope of the present application.
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 non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In the description of the present application, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present application. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the exemplary embodiments of the present application, and are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method for disease geologic detection, the method comprising:
acquiring the wave field data of a ground penetrating radar in the space where the geologic body to be detected is located;
shaping and regularizing the ground penetrating radar wave field data by utilizing Seislet transformation to obtain diffracted wave separation data;
performing offset imaging on the diffracted wave separation data to obtain an imaging result of the geologic body to be detected;
and carrying out disease detection on the geologic body to be detected according to the imaging result.
2. The method according to claim 1, wherein the step of performing shaping regularization processing on the ground penetrating radar wave field data by using a Seislet transform to obtain diffracted wave separation data comprises:
carrying out equation conversion on the plane wave differential equation to obtain a plane wave decomposition operator;
constructing a least square optimization model based on the ground penetrating radar wave field data and the plane wave decomposition operator;
constructing an iterative solution function about diffracted wave separation data by utilizing Seislet transformation on the least square optimization model;
solving the optimal value of the iterative solution function by using a shaping regularization method;
and taking the optimal value as diffraction wave separation data.
3. The method of claim 2, wherein the least squares optimization model is represented by:
wherein d isobsRepresenting the georadar wave field data, P representing the plane wave decomposition operator, d representing diffracted wave separation data.
4. The method of claim 2, wherein the iterative solution function is represented by:
wherein,
wherein F represents a predetermined threshold τnAssociated soft threshold operator, x represents spatial direction, A represents forward transform of Seislet transform-1Denotes the inverse transformation of the Seislet transform, λ denotes a constant factor, B denotes an inverse transfer operator, and B ═ PTS denotes a reshaping regularization factor, dnRepresenting the nth diffracted wave separation data, dn+1Represents the n +1 th diffracted wave separation data.
5. The method according to claim 1, wherein after acquiring the ground penetrating radar wave field data of the space in which the geological body to be detected is located, the method further comprises:
and denoising the wave field data of the ground penetrating radar.
6. The method of claim 1, wherein the step of offset imaging the diffracted wave separation data comprises:
and performing offset imaging on the diffracted wave separation data by using a Kirchoff offset algorithm.
7. An apparatus for detection of diseased geological volume, the apparatus comprising:
the acquisition module is used for acquiring the wave field data of the ground penetrating radar in the space where the geologic body to be detected is located;
the processing module is used for carrying out shaping regularization processing on the wave field data of the ground penetrating radar by utilizing Seislet transformation to obtain diffracted wave separation data;
the imaging module is used for carrying out offset imaging on the diffracted wave separation data to obtain an imaging result of the geologic body to be detected;
and the detection module is used for carrying out disease detection on the geologic body to be detected according to the imaging result.
8. The apparatus of claim 7, further comprising:
and the denoising module is used for denoising the wave field data of the ground penetrating radar.
9. An electronic device comprising a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the method of any one of claims 1 to 6.
10. A computer-readable storage medium having computer-executable instructions stored thereon which, when invoked and executed by a processor, cause the processor to implement the method of any of claims 1 to 6.
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