Mine micro-seismic signal processing method and device, electronic equipment and storage medium
By performing sub-signal decomposition and Fourier transform of the mine microseismic signal, the single-frequency interference signal is identified and eliminated, the problem of difficulty in removing single-frequency interference signals in the mine microseismic signal is solved, and the signal-to-noise ratio and the accuracy of microseismic signal analysis is improved.
Patent Information
- Application Number
- CN202411976546.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-30
- Publication Date
- 2025-04-22
AI Technical Summary
There is a single-frequency interference signal in the mine microseismic signals, which is difficult to effectively remove in the existing technology, resulting in a decrease in the signal-to-noise ratio and affecting the accuracy of microseismic signals analysis.
By obtaining the initial mine microseismic signal, sub-signal decomposition process is performed to obtain target sub-signals in different frequency bands, and then each target sub-signal is Fourier transformed to determine the initial amplitude spectrum corresponding to each target sub-signal, thereby identifying and eliminating a single-frequency interference signal to obtain the target signal.
Effectively identify and eliminate single-frequency interference signals in mine microseismic signals, improve the signal-to-noise ratio of the target signal, and improve the accuracy of microseismic signals analysis.
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Figure CN119862413A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the technical field of signal processing, and in particular to a method, device, electronic equipment and storage medium for processing microseismic signals in a mine. Background Art
[0002] Mine microseismic signals are widely used for microseismic event monitoring in mines. However, the collected mine microseismic signals are usually mixed with multiple noise components. Although filtering the mine microseismic signals can remove some noise components in the mine microseismic signals, it is impossible to remove the single-frequency interference signals in the mine microseismic signals. The single-frequency interference signals have a narrow spectrum and the signal energy is highly concentrated on this frequency, which can cause significant interference to the mine microseismic signals.
[0003] The single-frequency interference signal removal method in the related art is mainly used to remove the single-frequency interference signals in seismic signals and satellite navigation signals. However, such signals are obviously different from mine microseismic signals and thus cannot be applied to the processing of mine microseismic signals. Summary of the invention
[0004] The present disclosure aims to solve one of the technical problems in the related art at least to some extent.
[0005] To this end, the purpose of the present disclosure is to provide a method, device, electronic equipment and storage medium for processing microseismic signals in a mine.
[0006] A method for processing mine microseismic signals proposed in an embodiment of the first aspect of the present disclosure includes: obtaining an initial mine microseismic signal; performing sub-signal decomposition processing on the initial mine microseismic signal to obtain multiple target sub-signals in different frequency bands; performing Fourier transform processing on each target sub-signal to determine an initial amplitude spectrum corresponding to each target sub-signal; determining a single-frequency interference signal based on the initial amplitude spectrum corresponding to each target sub-signal; and eliminating the single-frequency interference signal in the initial mine microseismic signal to obtain a target signal.
[0007] A mine microseismic signal processing device proposed in an embodiment of the second aspect of the present disclosure includes: an acquisition module for acquiring an initial mine microseismic signal; a decomposition module for performing sub-signal decomposition processing on the initial mine microseismic signal to obtain multiple target sub-signals in different frequency bands; a processing module for performing Fourier transform processing on each target sub-signal to determine an initial amplitude spectrum corresponding to each target sub-signal; a determination module for determining a single-frequency interference signal based on the initial amplitude spectrum corresponding to each target sub-signal; and an elimination module for eliminating the single-frequency interference signal in the initial mine microseismic signal to obtain a target signal.
[0008] The electronic device proposed in the third aspect of the present disclosure includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the method for processing mine microseismic signals proposed in the first aspect of the present disclosure is implemented.
[0009] The fourth aspect of the present disclosure provides a non-temporary computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the method for processing mine microseismic signals provided in the first aspect of the present disclosure is implemented.
[0010] The fifth embodiment of the present disclosure proposes a computer program product. When the instructions in the computer program product are executed by a processor, the mine microseismic signal processing method proposed in the first embodiment of the present disclosure is executed.
[0011] The mine microseismic signal processing method, device, electronic device and storage medium provided by the present disclosure have at least the following beneficial effects: by acquiring an initial mine microseismic signal; performing sub-signal decomposition processing on the initial mine microseismic signal to obtain multiple target sub-signals of different frequency bands; performing Fourier transform processing on each target sub-signal to determine the initial amplitude spectrum corresponding to each target sub-signal; determining the single-frequency interference signal according to the initial amplitude spectrum corresponding to each target sub-signal; eliminating the single-frequency interference signal in the initial mine microseismic signal to obtain the target signal, thereby being able to accurately identify the single-frequency interference signal from the mine microseismic signal, thereby being able to effectively eliminate the single-frequency interference signal in the mine microseismic signal, so that the obtained target signal can have a higher signal-to-noise ratio, thereby being able to improve the accuracy of subsequent microseismic signal analysis.
[0012] Additional aspects and advantages of the present disclosure will be given in part in the following description and in part will be obvious from the following description or learned through practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS
[0013] The above and / or additional aspects and advantages of the present disclosure will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:
[0014] Figure 1 It is a flowchart of a method for processing microseismic signals in a mine proposed in an embodiment of the present disclosure;
[0015] Figure 2A is a schematic diagram of an initial mine microseismic signal proposed in an embodiment of the present disclosure;
[0016] Figure 2B is a schematic diagram of the spectrum of the initial mine microseismic signal proposed in an embodiment of the present disclosure;
[0017] Figure 3Ais a schematic diagram of a target sub-signal proposed in an embodiment of the present disclosure;
[0018] Figure 3B is a schematic diagram of a frequency spectrum of a target sub-signal proposed in an embodiment of the present disclosure;
[0019] Figure 4A is a schematic diagram of a target signal proposed in an embodiment of the present disclosure;
[0020] Figure 4B is a schematic diagram of a frequency spectrum of a target signal proposed in an embodiment of the present disclosure;
[0021] Figure 5 is a schematic diagram of the structure of a mine microseismic signal processing device proposed in an embodiment of the present disclosure;
[0022] Figure 6 A block diagram of an exemplary electronic device suitable for implementing embodiments of the present disclosure is shown. DETAILED DESCRIPTION
[0023] Embodiments of the present disclosure are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present disclosure, and are not to be construed as limitations of the present disclosure. On the contrary, the embodiments of the present disclosure include all changes, modifications, and equivalents that fall within the spirit and connotation of the appended claims.
[0024] Figure 1 It is a flow chart of a method for processing microseismic signals in a mine proposed in an embodiment of the present disclosure.
[0025] It should be noted that the executor of the mine microseismic signal processing method of this embodiment is a mine microseismic signal processing device, which can be implemented by software and / or hardware. The device can be configured in an electronic device, and the electronic device may include but is not limited to a terminal, a server, etc. For example, the terminal may be a mobile phone, a handheld computer, etc.
[0026] like Figure 1 As shown, the mine microseismic signal processing method comprises:
[0027] S101: Acquire initial mine microseismic signals.
[0028] In the embodiments of the present disclosure, the unprocessed initial mine microseismic signals may be collected based on the mine area microseismic monitoring system, or the initial mine microseismic signals may be collected based on sensors, and there is no limitation to this.
[0029] In the embodiment of the present disclosure, the initial mine microseismic signal can also be obtained by performing Fourier transform on the mine microseismic signal to obtain the amplitude spectrum after collecting the unprocessed mine microseismic signal, analyzing whether there is single-frequency interference therein, and when it is determined that the mine microseismic signal contains single-frequency interference, using the mine microseismic signal as the initial mine microseismic signal.
[0030] In the embodiments of the present disclosure, see Figure 2A , Figure 2B , Figure 2A is a schematic diagram of an initial mine microseismic signal proposed in an embodiment of the present disclosure, Figure 2B is a schematic diagram of the spectrum of the initial mine microseismic signal proposed in an embodiment of the present disclosure, Figure 2B It can be seen that the signal has two strong single-frequency energy anomalies, resulting in Figure 2A The initial mine microseismic signals are mixed with a certain degree of noise, which will shield the effective signals and interfere with the high-precision analysis of microseismic signals.
[0031] S102: performing sub-signal decomposition processing on the initial mine microseismic signal to obtain multiple target sub-signals in different frequency bands.
[0032] In the disclosed embodiment, after the initial mine microseismic signal is acquired, the initial mine microseismic signal may be subjected to sub-signal decomposition processing to acquire a plurality of target sub-signals in different frequency bands.
[0033] Optionally, in some embodiments, the initial mine microseismic signal is subjected to sub-signal decomposition processing to obtain multiple target sub-signals of different frequency bands. The initial mine microseismic signal x(t) may be decomposed into k initial sub-signals, and the initial sub-signals are then subjected to complex transformation processing to obtain a complex-valued single-sided spectrum signal corresponding to each initial sub-signal. Each complex-valued single-sided spectrum signal is processed based on a preset frequency to obtain a baseband signal, and multiple target sub-signals are determined based on the baseband signal.
[0034] Optionally, in some embodiments, a plurality of target sub-signals may be determined based on the baseband signal. Solve to obtain the target sub-signal;
[0035] in, represents the derivation, { uk} represents the target sub-signal set, is the baseband signal, ω k is around { uk} center frequency.
[0036] Optionally, in some embodiments, Solve to get the target sub-signal, which can be based on the following formula Solve until the iteration condition is met to obtain the target sub-signal:
[0037]
[0038] Among them, α is the quadratic penalty factor and λ(t) is the Lagrange multiplication operator.
[0039] In the embodiments of the present disclosure, see Figure 3A , Figure 3B , Figure 3A is a schematic diagram of a target sub-signal proposed in an embodiment of the present disclosure, Figure 3B is a schematic diagram of the spectrum of the target sub-signal proposed in an embodiment of the present disclosure, Figure 3B It can be seen that the decomposed 3rd and 8th signals are clearly single-frequency strong energy anomalies, and then the single-frequency interference signal can be determined from the target sub-signal based on the description of S103-S104. For details, please refer to the description of S103-S104, which will not be repeated here.
[0040] S103: Perform Fourier transform processing on each target sub-signal to determine an initial amplitude spectrum corresponding to each target sub-signal.
[0041] In the embodiment of the present disclosure, Fourier transform processing may be performed on each target sub-signal to determine the initial amplitude spectrum {U k (f)}.
[0042] S104: Determine a single-frequency interference signal according to an initial amplitude spectrum corresponding to each target sub-signal.
[0043] Optionally, in some embodiments, the single-frequency interference signal is determined based on the initial amplitude spectrum corresponding to each target sub-signal. Multiple initial amplitude spectra corresponding to each target sub-signal may be superimposed to obtain a target amplitude spectrum corresponding to each target sub-signal, and the target amplitude spectrum may be differentially processed to determine the single-frequency interference signal.
[0044] Optionally, in some embodiments, a plurality of initial amplitude spectra corresponding to each target sub-signal are superimposed to obtain a target amplitude spectrum corresponding to each target sub-signal. The target amplitude spectrum may be calculated based on the following formula:
[0045]
[0046] Among them, AM k represents the target amplitude spectrum corresponding to the kth target sub-signal, U k (f i ) is the initial amplitude spectrum corresponding to the kth target sub-signal, f iis the i-th frequency point of the amplitude spectrum, and M is the number of frequency points.
[0047] In the embodiment of the present disclosure, after superimposing multiple initial amplitude spectra corresponding to each target sub-signal to obtain a target amplitude spectrum corresponding to each target sub-signal, the target amplitude spectrum can be differentially processed to determine the sub-signal with the largest change in value, such as u2(t) and u6(t), and the sub-signal with the largest change in value determined above is used as a single-frequency interference signal.
[0048] S105: Eliminate the single-frequency interference signal in the initial mine microseismic signal to obtain the target signal.
[0049] That is to say, in the embodiment of the present disclosure, after determining the single-frequency interference signal based on the initial amplitude spectrum corresponding to each target sub-signal, the single-frequency interference signal in the initial mine microseismic signal can be eliminated, and a new signal can be reconstructed to obtain the target signal y(t) with the single-frequency interference signal removed.
[0050] Optionally, in some embodiments, the single-frequency interference signal in the initial mine microseismic signal is eliminated to obtain the target signal, and the target signal can be calculated based on the following formula:
[0051]
[0052] Among them, y(t) is the target signal, x(t) is the initial mine microseismic signal, and u r (t) is a single-frequency interference signal.
[0053] In the disclosed embodiments, the single-frequency strong energy abnormal interference signal in the mine microseismic event monitoring event can be directly removed, so that the obtained target signal has a higher signal-to-noise ratio, which can improve the accuracy of microseismic signal analysis, and can better provide high-quality data support for related research such as fracturing effect evaluation and crack extension mechanism using microseismic signals.
[0054] In the embodiments of the present disclosure, see Figure 4A , Figure 4B , Figure 4A is a schematic diagram of a target signal proposed in an embodiment of the present disclosure, Figure 4B is a schematic diagram of the spectrum of the target signal proposed in an embodiment of the present disclosure, Figure 4B and Figure 2B It can be clearly seen that the two strong energy single-frequency anomalies of the initial mine microseismic signal have been well suppressed, and the new amplitude spectrum energy is more natural. Figure 4A and Figure 2A From the comparison, it can be seen that the effective microseismic signal in the target signal is clearer.
[0055] In the disclosed embodiment, an initial mine microseismic signal is acquired; the initial mine microseismic signal is subjected to sub-signal decomposition processing to acquire multiple target sub-signals of different frequency bands; each target sub-signal is subjected to Fourier transform processing to determine an initial amplitude spectrum corresponding to each target sub-signal; a single-frequency interference signal is determined according to the initial amplitude spectrum corresponding to each target sub-signal; and the single-frequency interference signal in the initial mine microseismic signal is eliminated to obtain a target signal, thereby being able to accurately identify the single-frequency interference signal from the mine microseismic signal, thereby being able to effectively eliminate the single-frequency interference signal in the mine microseismic signal, thereby being able to make the obtained target signal have a higher signal-to-noise ratio, thereby being able to improve the accuracy of subsequent microseismic signal analysis.
[0056] Figure 5 It is a structural schematic diagram of a mine microseismic signal processing device proposed in one embodiment of the present disclosure.
[0057] like Figure 5 As shown, the mine microseismic signal processing device 50 includes:
[0058] An acquisition module 501 is used to acquire an initial mine microseismic signal;
[0059] A decomposition module 502 is used to perform sub-signal decomposition processing on the initial mine microseismic signal to obtain multiple target sub-signals in different frequency bands;
[0060] A processing module 503 is used to perform Fourier transform processing on each target sub-signal to determine an initial amplitude spectrum corresponding to each target sub-signal;
[0061] A determination module 504, configured to determine a single-frequency interference signal according to an initial amplitude spectrum corresponding to each target sub-signal;
[0062] The elimination module 505 is used to eliminate the single-frequency interference signal in the initial mine microseismic signal to obtain the target signal.
[0063] In some embodiments of the present disclosure, the determination module 504 is further configured to:
[0064] Performing superposition processing on multiple initial amplitude spectra corresponding to each target sub-signal to obtain a target amplitude spectrum corresponding to each target sub-signal;
[0065] The target amplitude spectrum is differentially processed to determine the single-frequency interference signal.
[0066] In some embodiments of the present disclosure, the determination module 504 is further configured to:
[0067] The target amplitude spectrum is calculated based on the following formula:
[0068]
[0069] Among them, AM k represents the target amplitude spectrum corresponding to the kth target sub-signal, U k (f i ) is the initial amplitude spectrum corresponding to the kth target sub-signal, f i is the i-th frequency point of the amplitude spectrum, and M is the number of frequency points.
[0070] In some embodiments of the present disclosure, the decomposition module 502 is further configured to:
[0071] Decompose the initial mine microseismic signal x(t) into k initial sub-signals;
[0072] Performing complex-valued transformation processing on the initial sub-signals to obtain a complex-valued single-sided spectrum signal corresponding to each initial sub-signal;
[0073] Processing each complex-valued single-sided spectrum signal based on a preset frequency to obtain a baseband signal;
[0074] A plurality of target sub-signals are determined according to the baseband signal.
[0075] In some embodiments of the present disclosure, the decomposition module 502 is further configured to:
[0076] right Solve to obtain the target sub-signal;
[0077] in, represents the derivation, { uk} represents the target sub-signal set, is the baseband signal, ω k is around { uk} center frequency.
[0078] In some embodiments of the present disclosure, the decomposition module 502 is further configured to:
[0079] Based on the following formula Solve until the iteration condition is met to obtain the target sub-signal:
[0080]
[0081] Among them, α is the quadratic penalty factor and λ(t) is the Lagrange multiplication operator.
[0082] In some embodiments of the present disclosure, the elimination module 505 is further configured to:
[0083] The target signal is calculated based on the following formula:
[0084]
[0085] Among them, y(t) is the target signal, x(t) is the initial mine microseismic signal, and u r (t) is a single-frequency interference signal.
[0086] It should be noted that the aforementioned explanation of the mine microseismic signal processing method is also applicable to the mine microseismic signal processing device of this embodiment, and will not be repeated here.
[0087] In the disclosed embodiment, an initial mine microseismic signal is acquired; the initial mine microseismic signal is subjected to sub-signal decomposition processing to acquire multiple target sub-signals of different frequency bands; each target sub-signal is subjected to Fourier transform processing to determine an initial amplitude spectrum corresponding to each target sub-signal; a single-frequency interference signal is determined according to the initial amplitude spectrum corresponding to each target sub-signal; and the single-frequency interference signal in the initial mine microseismic signal is eliminated to obtain a target signal, thereby being able to accurately identify the single-frequency interference signal from the mine microseismic signal, thereby being able to effectively eliminate the single-frequency interference signal in the mine microseismic signal, thereby being able to make the obtained target signal have a higher signal-to-noise ratio, thereby being able to improve the accuracy of subsequent microseismic signal analysis.
[0088] Figure 6 A block diagram of an exemplary electronic device suitable for implementing embodiments of the present disclosure is shown. Figure 6 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.
[0089] like Figure 6 As shown, the electronic device is in the form of a general purpose computing device. The components of the electronic device may include, but are not limited to: one or more processors or processing units 16, memory 28, and a bus 18 connecting different system components (including system memory 28 and processing unit 16).
[0090] The bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor or a local bus using any of a variety of bus structures. For example, these architectures include but are not limited to Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus and Peripheral Component Interconnection (PCI) bus.
[0091] Electronic devices typically include a variety of computer system readable media. These media can be any available media that can be accessed by the electronic device, including volatile and non-volatile media, removable and non-removable media.
[0092] The memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. The electronic device may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 34 may be used to read and write non-removable, non-volatile magnetic media ( Figure 6 Not shown, often called a "hard drive").
[0093] although Figure 6 Not shown, a disk drive for reading and writing a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing a removable non-volatile optical disk (e.g., a compact disc read only memory (Compact Disc Read Only Memory; hereinafter referred to as: CD-ROM), a digital versatile disc read only memory (Digital Video Disc Read Only Memory; hereinafter referred to as: DVD-ROM) or other optical media) may be provided. In these cases, each drive may be connected to the bus 18 via one or more data medium interfaces. The memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present disclosure.
[0094] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in the memory 28, such program modules 42 including but not limited to an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. The program modules 42 generally perform the functions and / or methods of the embodiments described in the present disclosure.
[0095] The electronic device may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), may also communicate with one or more devices that enable the human body to interact with the electronic device, and / or communicate with any device that enables the electronic device to communicate with one or more other computing devices (e.g., network card, modem, etc.). Such communication may be performed through an input / output (I / O) interface 22. In addition, the electronic device may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through a network adapter 20. As shown in the figure, the network adapter 20 communicates with other modules of the electronic device through a bus 18. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.
[0096] The processing unit 16 executes various functional applications and data processing by running the programs stored in the system memory 28, such as implementing the mine microseismic signal processing method mentioned in the above embodiment.
[0097] In order to implement the above embodiments, the present disclosure further proposes a non-temporary computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the method for processing mine microseismic signals proposed in the above embodiments of the present disclosure is implemented.
[0098] In order to implement the above embodiments, the present disclosure further proposes a computer program product. When the instruction processor in the computer program product is executed, the mine microseismic signal processing method proposed in the above embodiments of the present disclosure is executed.
[0099] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. The present disclosure is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The description and examples are to be considered exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.
[0100] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
[0101] It should be noted that, in the description of the present disclosure, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present disclosure, unless otherwise specified, the meaning of "plurality" is two or more.
[0102] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present disclosure includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present disclosure belong.
[0103] It should be understood that the various parts of the present disclosure can be implemented in hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.
[0104] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.
[0105] In addition, each functional unit in each embodiment of the present disclosure may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.
[0106] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.
[0107] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.
[0108] Although the embodiments of the present disclosure have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present disclosure. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present disclosure.
Claims
1. A method for processing microseismic signals in a mine, characterized in that: The method comprises: Obtain initial mine microseismic signals; Performing sub-signal decomposition processing on the initial mine microseismic signal to obtain multiple target sub-signals in different frequency bands; Performing Fourier transform processing on each of the target sub-signals to determine an initial amplitude spectrum corresponding to each of the target sub-signals; Determining a single-frequency interference signal according to the initial amplitude spectrum corresponding to each of the target sub-signals; The single-frequency interference signal in the initial mine microseismic signal is eliminated to obtain a target signal.
2. The method according to claim 1, characterized in that The determining of the single-frequency interference signal according to the initial amplitude spectrum corresponding to each of the target sub-signals includes: Performing a superposition process on the multiple initial amplitude spectra corresponding to each target sub-signal to obtain a target amplitude spectrum corresponding to each target sub-signal; The target amplitude spectrum is differentially processed to determine the single-frequency interference signal.
3. The method according to claim 2, characterized in that The superposition processing of the multiple initial amplitude spectra corresponding to each target sub-signal to obtain a target amplitude spectrum corresponding to each target sub-signal includes: The target amplitude spectrum is calculated based on the following formula: Among them, AM k represents the target amplitude spectrum corresponding to the kth target sub-signal, U k (f i ) is the initial amplitude spectrum corresponding to the kth target sub-signal, f i is the i-th frequency point of the amplitude spectrum, and M is the number of frequency points.
4. The method according to claim 3, characterized in that The sub-signal decomposition processing is performed on the initial mine microseismic signal to obtain a plurality of target sub-signals in different frequency bands, including: Decomposing the initial mine microseismic signal x(t) into k initial sub-signals; Performing complex-valued transformation processing on the initial sub-signals to obtain a complex-valued single-sided spectrum signal corresponding to each of the initial sub-signals; Processing each of the complex-valued single-sided spectrum signals based on a preset frequency to obtain a baseband signal; A plurality of target sub-signals are determined according to the baseband signal.
5. The method according to claim 4, characterized in that The step of determining the plurality of target sub-signals according to the baseband signal comprises: right Solving to obtain the target sub-signal; in, represents the derivative, { uk } represents the target sub-signal set, is the baseband signal, ω k is around { uk } center frequency.
6. The method according to claim 5, characterized in that The pair Solving to obtain the target sub-signal includes: Based on the following formula Solve until the iteration condition is met to obtain the target sub-signal: Among them, α is the quadratic penalty factor and λ(t) is the Lagrange multiplication operator.
7. The method according to claim 1, characterized in that The eliminating the single-frequency interference signal in the initial mine microseismic signal to obtain a target signal includes: The target signal is calculated based on the following formula: Among them, y(t) is the target signal, x(t) is the initial mine microseismic signal, u r (t) is the single-frequency interference signal.
8. A mine microseismic signal processing device, characterized in that: The device comprises: An acquisition module, used to acquire initial mine microseismic signals; A decomposition module, used for performing sub-signal decomposition processing on the initial mine microseismic signal to obtain multiple target sub-signals in different frequency bands; A processing module, configured to perform Fourier transform processing on each of the target sub-signals to determine an initial amplitude spectrum corresponding to each of the target sub-signals; A determination module, configured to determine a single-frequency interference signal according to the initial amplitude spectrum corresponding to each of the target sub-signals; The elimination module is used to eliminate the single-frequency interference signal in the initial mine microseismic signal to obtain a target signal.
9. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and 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 7.
10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: in, The computer instructions are used to cause the computer to execute the method according to any one of claims 1 to 7.