A method and device for locating the coal and rock fracture area based on narrowband electromagnetic signals
By arranging three-axis electromagnetic sensors around coal rock, collecting and processing vector electromagnetic signals, and using Fourier transform and wavelet transform technology, accurate positioning of coal rock rupture sources and fracture areas is achieved, solving the problem of inaccurate positioning in the existing technology.
Patent Information
- Application Number
- CN202310343815.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-04-03
- Publication Date
- 2025-07-22
- Estimated Expiration
- 2043-04-03
AI Technical Summary
The existing electromagnetic monitoring method has low positioning accuracy in coal rock fracture sources, and cannot accurately locate the coal rock fracture areas. There is a blindness in signal selection, which affects the safety of coal mine production.
By arranging four three-axis electromagnetic sensors that are not on the same horizontal plane around the coal rock, vector electromagnetic signals are collected and low-pass filtered, the main frequency, secondary frequency, third frequency and fourth frequency of the low-frequency electromagnetic radiation signal are solved, and the narrowband electromagnetic waveform is extracted using Fourier transform and wavelet transform, inverse transformation and vector positioning are performed to determine the location of the coal rock rupture source.
Accurate positioning of coal rock rupture sources and rupture areas is achieved, avoiding the blindness of rupture positioning signal selection, and improving positioning accuracy.
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Figure CN116449441B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of coal and rock dynamic disaster warning, and in particular to a method and device for locating coal and rock fracture regions based on narrowband electromagnetic signals. Background Art
[0002] As China's coal resource mining has gradually entered the deep part, coal and rock dynamic disasters have become increasingly serious and complex, which have seriously affected the safe and efficient production of coal mines. Accurate and efficient monitoring and warning of coal and rock dynamic disasters are the key to ensuring underground safety production. Currently, the commonly used monitoring and warning methods include conventional borehole testing methods and geophysical methods. Among them, the non-contact electromagnetic monitoring method in geophysical methods has many advantages and is currently widely concerned.
[0003] The electromagnetic monitoring method can monitor the energy accumulation and release process of coal and rock masses during the gestation and development of coal and rock dynamic disasters. However, currently, the technology has a large blindness in signal selection, has a low positioning accuracy for the coal and rock fracture source, and cannot accurately locate the coal and rock fracture region, which is not conducive to the application of the technology. Summary of the Invention
[0004] The present invention provides a method and device for locating coal and rock fracture regions based on narrowband electromagnetic signals, and realizes the accurate location of the coal and rock concrete damage region by extracting the narrowband electromagnetic signal waveform of coal and rock damage. The technical solution is as follows:
[0005] On the one hand, a method for locating coal and rock fracture regions based on narrowband electromagnetic signals is provided, including:
[0006] S1. Arrange 4 triaxial electromagnetic sensors not in the same horizontal plane around the coal and rock to collect vector electromagnetic signals in space in real time, and perform low-pass filtering on each component of the vector electromagnetic signals to retain low-frequency electromagnetic radiation signals that can effectively characterize coal and rock damage;
[0007] S2. Solve the main frequency, secondary main frequency, third main frequency, and fourth main frequency of the low-frequency electromagnetic radiation signals to obtain the main frequency points f1, f2, f3, f4 of the coal and rock fracture signals, and extract 4 narrowband electromagnetic waveforms near the main frequency points f1, f2, f3, f4;
[0008] S3. Perform inverse transformation on the 4 narrowband electromagnetic waveforms to obtain a narrowband waveform of an approximate sine wave of the original electromagnetic signal of coal and rock fracture;
[0009] S4. Perform positioning according to the vector property of the narrowband waveform to obtain the fracture source A1 of the narrowband waveform near the main frequency point f1, and the fracture sources A2, A3, and A4 of the narrowband waveforms near the main frequency points f2, f3, and f4;
[0010] S5. Determine the coal and rock fracture area according to the positions of fracture sources A1, A2, A3, and A4.
[0011] Optionally, the filtering range of the low-pass filtering in S1 is [0 - 20 kHz].
[0012] Optionally, in S2, solve for the primary frequency, secondary primary frequency, third primary frequency, and fourth primary frequency of the low-frequency electromagnetic radiation signal to obtain the main frequency points f1, f2, f3, and f4 of the coal and rock fracture signal, specifically including:
[0013] Through Fourier transform Obtain the electromagnetic signal spectrum within the frequency band range of [0 - 20 kHz], and sequentially select the first, second, third, and fourth peak frequencies of the electromagnetic signal spectrum as the primary frequency f1, secondary primary frequency f2, third primary frequency f3, and fourth primary frequency f4.
[0014] Optionally, in S2, extract 4 narrowband electromagnetic waveforms near the main frequency points f1, f2, f3, and f4, specifically including:
[0015] Use wavelet transform to extract the electromagnetic signal waveforms near the 4 main frequency points f1, f2, f3, and f4. The frequency bands of the 4 waveforms are narrowbands [f1 - 50 Hz, f1 + 50 Hz], [f2 - 50 Hz, f2 + 50 Hz], [f3 - 50 Hz, f3 + 50 Hz], [f4 - 50 Hz, f4 + 50 Hz]. The narrowband waveform signals as a whole present a gradually decaying sine function where A is the amplitude, e -ax is the attenuation factor. The larger a is, the faster the attenuation. ω is the angular frequency, is the phase.
[0016] Optionally, in S3, perform inverse transformation on the 4 narrowband electromagnetic waveforms to obtain the narrowband waveforms of the approximate sine waves of the original coal and rock fracture electromagnetic signals, specifically including:
[0017] Integrate the narrowband waveforms to obtain Obtain the narrowband waveforms of the approximate sine waves of the original coal and rock fracture electromagnetic signals.
[0018] Optionally, perform positioning according to the vector property of the narrowband waveforms to obtain the fracture source A1 of the narrowband waveform near the main frequency point f1, specifically including:
[0019] The vector signals with the spectrum of [f1 - 50 Hz, f1 + 50 Hz] monitored by the 4 triaxial electromagnetic sensors are all emitted from the source fracture point A1. Establish a spatial vector unit orthogonal basis according to the three components of the triaxial electromagnetic sensor According to the vector property of the narrowband waveform with a frequency band of [f1-50Hz, f1+50Hz], the vector electromagnetic signal is expressed as Wherein ai, bi, ci are determined according to the narrowband waveform of the three components of the three-axis electromagnetic sensor, i is the number of the three-axis electromagnetic sensor, and combined with the coordinates of the three-axis electromagnetic sensor, the straight line where the vector electromagnetic signal is located is represented by B i x+C i y+D i z+E i =0, B i , C i , D i 、E i are all constants, thus establishing the system of equations
[0020] B1x+C1y+D1z+E1=0
[0021] B2x+C2y+D2z+E2=0
[0022] B3x+C3y+D3z+E3=0
[0023] B4x+C4y+D4z+E4=0
[0024] Combining the above 4 equations, we can obtain the coal rock fracture source A1(x1,y1,z1);
[0025] Using the same method, the rupture sources A2(x2, y2, z2), A3(x3, y3, z3), and A4(x4, y4, z4) of the narrow-band waveforms near the main frequency points f2, f3, and f4 are obtained.
[0026] Optionally, determining the coal-rock fracture area according to the positions of the fracture sources A1, A2, A3 and A4 in S5 specifically includes:
[0027] The fracture sources A1 (x1, y1, z1), A2 (x2, y2, z2), A3 (x3, y3, z3), and A4 (x4, y4, z4) are connected, and the enclosed area is the range of the coal rock fracture area.
[0028] On the other hand, a device for locating coal-rock fracture areas based on narrowband electromagnetic signals is provided, comprising:
[0029] The arrangement and filtering module is used to arrange four three-axis electromagnetic sensors that are not in the same horizontal plane around the coal and rock to collect vector electromagnetic signals in space in real time, and to perform low-pass filtering on each component of the vector electromagnetic signal to retain low-frequency electromagnetic radiation signals that can effectively characterize coal and rock damage;
[0030] A solution and extraction module for solving the main frequency, secondary main frequency, third main frequency, and fourth main frequency of the low-frequency electromagnetic radiation signal, obtaining the main frequency points f1, f2, f3, and f4 of the coal and rock fracture signal, and extracting four narrowband electromagnetic waveforms near the main frequency points f1, f2, f3, and f4;
[0031] An inverse transformation module for performing inverse transformation on the four narrowband electromagnetic waveforms to obtain a narrowband waveform of an approximate sine wave of the original electromagnetic signal of coal and rock fracture;
[0032] A fracture source positioning module for positioning according to the vector property of the narrowband waveform, obtaining the fracture source A1 of the narrowband waveform near the main frequency point f1, and the fracture sources A2, A3, and A4 of the narrowband waveforms near the main frequency points f2, f3, and f4;
[0033] A damage area determination module for determining the coal and rock fracture area according to the positions of the fracture sources A1, A2, A3, and A4.
[0034] On the other hand, an electronic device is provided. The electronic device includes a processor and a memory. At least one instruction is stored in the memory, and the at least one instruction is loaded and executed by the processor to implement the above-mentioned method for positioning the coal and rock fracture area based on narrowband electromagnetic signals.
[0035] On the other hand, a computer-readable storage medium is provided. At least one instruction is stored in the storage medium, and the at least one instruction is loaded and executed by a processor to implement the above-mentioned method for positioning the coal and rock fracture area based on narrowband electromagnetic signals.
[0036] The above technical solution has at least the following beneficial effects compared with the prior art:
[0037] Based on the spectrum difference of electromagnetic signals under different fracture forms of coal and rock, triaxial electromagnetic sensors are arranged around the coal and rock, and low-pass filtering is performed on each component of the vector electromagnetic signal to retain the low-frequency electromagnetic radiation signal. The main frequency, secondary main frequency, third main frequency, and fourth main frequency of the low-frequency electromagnetic radiation signal are solved by using Fourier transform to obtain the main frequency points of the coal and rock fracture signal; wavelet transform is used to extract the narrowband signal near the main frequency point, and inverse transformation is performed on the narrowband waveform to obtain a narrowband waveform of an approximate sine wave of the original electromagnetic signal of coal and rock fracture; positioning is performed according to the vector property of the narrowband waveform to obtain the fracture source of the narrowband electromagnetic signal near the main frequency point, and the range of the coal and rock fracture area is determined according to the position of the fracture source. The main advantages are as follows: By extracting, transforming, and positioning the narrowband waveform, a method for positioning the coal and rock fracture area based on narrowband electromagnetic signals is established, realizing the accurate positioning of the coal and rock fracture source and fracture area, and avoiding the blindness in selecting the fracture positioning signal. Description of the Drawings
[0038] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.
[0039] Figure 1 It is a flowchart of a method for locating the coal-rock fracture area based on narrowband electromagnetic signals provided by an embodiment of the present invention;
[0040] Figure 2 It is a schematic diagram of the scenario of a method for locating the coal-rock fracture area based on narrowband electromagnetic signals provided by an embodiment of the present invention;
[0041] Figure 3 It is a block diagram of a device for locating the coal-rock fracture area based on narrowband electromagnetic signals provided by an embodiment of the present invention;
[0042] Figure 4 It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention.
[0043] Figure 2 Explanation of the reference numerals in the drawings
[0044] 1. Coal-rock sample; 2. Triaxial electromagnetic sensor; 3. Coal-rock fracture source; 4. Coal-rock fracture area. Specific embodiments
[0045] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the described embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.
[0046] As Figure 1 shown, an embodiment of the present invention provides a method for locating the coal-rock fracture area based on narrowband electromagnetic signals, including:
[0047] S1. Arrange 4 triaxial electromagnetic sensors around the coal-rock to collect the vector electromagnetic signals in space in real time, and perform low-pass filtering on each component of the vector electromagnetic signals to retain the low-frequency electromagnetic radiation signals that can effectively characterize the coal-rock damage;
[0048] S2. Solve the main frequency, sub-main frequency, third main frequency, and fourth main frequency of the low-frequency electromagnetic radiation signal to obtain the main frequency points f1, f2, f3, and f4 of the coal and rock fracture signal, and extract 4 narrowband electromagnetic waveforms near the main frequency points f1, f2, f3, and f4;
[0049] S3. Perform inverse transformation on the 4 narrowband electromagnetic waveforms to obtain the narrowband waveforms of approximate sine waves of the original electromagnetic signal of coal and rock fracture;
[0050] S4. Locate according to the vector property of the narrowband waveform to obtain the fracture source A1 of the narrowband waveform near the main frequency point f1, and the fracture sources A2, A3, and A4 of the narrowband waveforms near the main frequency points f2, f3, and f4;
[0051] S5. Determine the coal and rock fracture area according to the positions of the fracture sources A1, A2, A3, and A4.
[0052] The following combines Figure 2 , and details a method for locating the coal and rock fracture area based on narrowband electromagnetic signals provided by an embodiment of the present invention, including:
[0053] S1. Arrange 4 triaxial electromagnetic sensors around the coal and rock to collect vector electromagnetic signals in space in real time, and perform low-pass filtering on each component of the vector electromagnetic signals to retain the low-frequency electromagnetic radiation signals that can effectively characterize coal and rock damage;
[0054] The triaxial electromagnetic sensor can simultaneously sense the electromagnetic intensity in the three-axis direction and monitor and collect vector electromagnetic signals in the acquisition space in real time. A total of 12 vector electromagnetic signals are collected by 4 triaxial electromagnetic sensors.
[0055] The triaxial electromagnetic sensor is generally better as close as possible to the coal and rock. In the embodiment of the present invention, the distance from the coal and rock can be 0.5 meters, or it can be arranged close to the coal and rock. The embodiment of the present invention does not limit the specific arrangement of the triaxial electromagnetic sensor, and all are within the protection scope of the embodiment of the present invention.
[0056] Optionally, the filtering range of the low-pass filtering is [0 - 20 kHz], and external high-frequency interference in each vector electromagnetic signal is filtered out to retain the low-frequency electromagnetic radiation signals that can effectively characterize coal and rock damage. A total of 12 low-frequency electromagnetic radiation signals are obtained.
[0057] S2. Solve the main frequency, sub-main frequency, third main frequency, and fourth main frequency of the low-frequency electromagnetic radiation signal to obtain the main frequency points f1, f2, f3, and f4 of the coal and rock fracture signal, and extract 4 narrowband electromagnetic waveforms near the main frequency points f1, f2, f3, and f4;
[0058] Optionally, in S2, the main frequency, the secondary main frequency, the third main frequency, and the fourth main frequency of each low-frequency electromagnetic radiation signal are solved to obtain the main frequency points f1, f2, f3, and f4 of each coal and rock fracture signal, which specifically includes:
[0059] By Fourier transform The electromagnetic signal spectrum in the frequency band range of [0~20kHz] is obtained, and the first, second, third, and fourth peak frequencies of the electromagnetic signal spectrum are sequentially selected as the main frequency f1, the secondary main frequency f2, the third main frequency f3, and the fourth main frequency f4.
[0060] Optionally, in S2, 4 narrowband electromagnetic waveforms near the main frequency points f1, f2, f3, and f4 are extracted, which specifically includes:
[0061] Using wavelet transform to extract the electromagnetic signal waveforms near the 4 main frequency points f1, f2, f3, and f4 (the specific wavelet transform for extracting waveforms is a mature technology and will not be elaborated here). The frequency bands of the 4 waveforms are narrowbands [f1 - 50Hz, f1 + 50Hz], [f2 - 50Hz, f2 + 50Hz], [f3 - 50Hz, f3 + 50Hz], [f4 - 50Hz, f4 + 50Hz], and the narrowband waveform signals as a whole show a gradually decaying sine function where A is the amplitude, e -ax is the attenuation factor, the larger a is, the faster the attenuation, ω is the angular frequency, is the phase.
[0062] S3. Perform inverse transformation on the 4 narrowband electromagnetic waveforms to obtain the narrowband waveforms of the approximate sine wave of the original electromagnetic signal of coal and rock fracture;
[0063] Optionally, in S3, performing inverse transformation on the 4 narrowband electromagnetic waveforms to obtain the narrowband waveforms of the approximate sine wave of the original electromagnetic signal of coal and rock fracture specifically includes:
[0064] Integrate the narrowband waveform to obtain Obtain the narrowband waveforms of the approximate sine wave of the original electromagnetic signal of coal and rock fracture. A total of 12 narrowband waveforms are obtained.
[0065] The original electromagnetic signals of coal and rock fractures in the embodiments of the present invention are not easy to collect. For example, the electromagnetic signals collected by the triaxial electromagnetic sensors are all distorted and inaccurate. However, accurate original electromagnetic signals are required for locating the fracture sources and fracture regions through the electromagnetic signals of coal and rock fractures. Therefore, a series of transformations and processes are performed on the electromagnetic signals collected by the triaxial electromagnetic sensors in the embodiments of the present invention to obtain a narrow-band waveform of an approximate sine wave of the original electromagnetic signals of coal and rock fractures, and then the location is performed according to the vector property of the narrow-band waveform to obtain the fracture source positions (coordinates) and the ranges of fracture regions of the narrow-band waveforms near each main frequency point.
[0066] S4. Perform positioning according to the vector property of the narrow-band waveform to obtain the fracture source A1 of the narrow-band waveform near the main frequency point f1, and the fracture sources A2, A3, and A4 of the narrow-band waveforms near the main frequency points f2, f3, and f4;
[0067] Optionally, the step of performing positioning according to the vector property of the narrow-band waveform to obtain the fracture source A1 of the narrow-band waveform near the main frequency point f1 specifically includes:
[0068] The vector signals with the frequency spectrum of [f1 - 50Hz, f1 + 50Hz] monitored by the 4 triaxial electromagnetic sensors are all emitted from the source fracture point A1 (although the electromagnetic signals generated by coal and rock fractures are emitted from the fracture region, but by using the method of the embodiments of the present invention, it can be considered that the vector signals with the frequency spectrum of [f1 - 50Hz, f1 + 50Hz] are all emitted from the source fracture point A1, the vector signals with the frequency spectrum of [f2 - 50Hz, f2 + 50Hz] are all emitted from the source fracture point A2, the vector signals with the frequency spectrum of [f3 - 50Hz, f3 + 50Hz] are all emitted from the source fracture point A3, and the vector signals with the frequency spectrum of [f4 - 50Hz, f4 + 50Hz] are all emitted from the source fracture point A4). Establish a spatial vector unit orthogonal basis according to the three components of the triaxial electromagnetic sensor Represent the vector electromagnetic signal according to the vector property of the narrow-band waveform with the frequency band of [f1 - 50Hz, f1 + 50Hz] as where ai, bi, ci are determined according to the narrow-band waveforms of the three components of each triaxial electromagnetic sensor, i is the number of the triaxial electromagnetic sensor. Combining the coordinates of the triaxial electromagnetic sensor (which are known quantities), the straight line where the vector electromagnetic signal is located is represented as B i x + C i y + D i z + E i = 0, B i 、C i 、D i 、E i are all constants, and thus a system of equations is established
[0069] B1x + C1y + D1z + E1 = 0
[0070] B2x + C2y + D2z + E2 = 0
[0071] B3x + C3y + D3z + E3 = 0
[0072] B4x + C4y + D4z + E4 = 0
[0073] By simultaneously solving the above four equations, the coal-rock fracture source A1(x1, y1, z1) is obtained;
[0074] Using the same method, the fracture sources A2(x2, y2, z2), A3(x3, y3, z3), and A4(x4, y4, z4) of the narrowband waveforms near the main frequency point f2, the main frequency point f3, and the main frequency point f4 are obtained.
[0075] S5. Determine the coal-rock fracture area according to the positions of the fracture sources A1, A2, A3, and A4.
[0076] Optionally, in S5, determining the coal-rock fracture area according to the positions of the fracture sources A1, A2, A3, and A4 specifically includes:
[0077] Connect the fracture sources A1(x1, y1, z1), A2(x2, y2, z2), A3(x3, y3, z3), and A4(x4, y4, z4), and the enclosed area is the range of the coal-rock fracture area.
[0078] As Figure 3 shown, an embodiment of the present invention further provides a device for locating a coal-rock fracture area based on narrowband electromagnetic signals, including:
[0079] An arrangement and filtering module 310 for arranging 4 triaxial electromagnetic sensors not in the same horizontal plane around the coal-rock to collect vector electromagnetic signals in space in real time, and performing low-pass filtering on each component of the vector electromagnetic signals to retain the low-frequency electromagnetic radiation signals that can effectively characterize coal-rock damage;
[0080] A solution and extraction module 320 for solving the main frequency, sub-main frequency, third main frequency, and fourth main frequency of the low-frequency electromagnetic radiation signals, obtaining the main frequency points f1, f2, f3, and f4 of the coal-rock fracture signals, and extracting 4 narrowband electromagnetic waveforms near the main frequency points f1, f2, f3, and f4;
[0081] An inverse transformation module 330 for performing inverse transformation on the 4 narrowband electromagnetic waveforms to obtain narrowband waveforms of approximate sine waves of the original electromagnetic signals of coal-rock fractures;
[0082] A rupture source location module 340, configured to perform location according to the vector property of the narrowband waveform, so as to obtain a rupture source A1 of the narrowband waveform near the main frequency point f1, and rupture sources A2, A3, and A4 of the narrowband waveforms near the main frequency point f2, the main frequency point f3, and the main frequency point f4;
[0083] A damage area determination module 350, configured to determine a coal and rock rupture area according to the positions of the rupture sources A1, A2, A3, and A4.
[0084] The coal and rock rupture area location device based on narrowband electromagnetic signals provided by an embodiment of the present invention has a functional structure corresponding to the coal and rock rupture area location method based on narrowband electromagnetic signals provided by an embodiment of the present invention, and will not be elaborated herein.
[0085] Figure 4 FIG. 10 is a schematic structural diagram of an electronic device 400 provided by an embodiment of the present invention. The electronic device 400 may vary greatly due to different configurations or performances, and may include one or more processors (central processing units, CPUs) 401 and one or more memories 402. Among them, at least one instruction is stored in the memory 402, and the at least one instruction is loaded and executed by the processor 401 to implement the steps of the above-mentioned coal and rock rupture area location method based on narrowband electromagnetic signals.
[0086] In an exemplary embodiment, a computer-readable storage medium is further provided, such as a memory including instructions, and the above instructions can be executed by a processor in a terminal to complete the above-mentioned coal and rock rupture area location method based on narrowband electromagnetic signals. For example, the computer-readable storage medium may be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.
[0087] Those of ordinary skill in the art can understand that all or part of the steps of implementing the above embodiments can be completed by hardware, or can be completed by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and the above-mentioned storage medium can be a read-only memory, a magnetic disk, an optical disk, etc.
[0088] The above are only the preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. A method for locating the coal-rock fracture area based on narrowband electromagnetic signals, characterized in that Including: S1. Arrange 4 triaxial electromagnetic sensors around the coal and rock at different horizontal levels to collect vector electromagnetic signals in real time in space, and perform low-pass filtering on each component of the vector electromagnetic signals to retain the low-frequency electromagnetic radiation signals that can effectively characterize the failure of the coal and rock; S2. Solve for the main frequency, secondary main frequency, third main frequency, and fourth main frequency of the low-frequency electromagnetic radiation signal to obtain the main frequency points of the low-frequency electromagnetic radiation signal f 1、 f 2、 f 3、 f 4, and extract the said main frequency points f 1、 f 2、 f 3、 f 4 narrowband electromagnetic waveforms near 4 S3. Perform inverse transformation on the 4 narrowband electromagnetic waveforms to obtain the narrowband waveforms of approximate sine waves of the original electromagnetic signals of coal and rock fractures; S4. Locate based on the vector property of the narrowband waveform to obtain the main frequency point f The rupture source of the narrowband waveform near 1 A 1, and the main frequency point f 2. Main frequency point f 3 and the main frequency point f The rupture source of the narrowband waveform near 4 A 2, A 3 and A 4; S5. Determine the coal and rock fracture area based on the fracture source A 1. A 2. A 3 and A 4. Determine the coal and rock fracture area based on the positions of 3 and 4 Extract the main frequency points in S2 f 1、 f 2、 f 3、 f 4 narrowband electromagnetic waveforms near 4, specifically including: Extract 4 main frequency points using wavelet transform f 1、 f 2、 f 3、 f The waveforms near 4, and the frequency bands of the 4 waveforms are narrow bands f 1 - 50Hz, f 1 + 50Hz], f 2 - 50Hz, f 2 + 50Hz], f 3 - 50Hz, f 3 + 50Hz], f 4 - 50Hz, f 4 + 50Hz]. The narrow - band waveform signals as a whole show a gradually decaying sine function , where is the amplitude, is the attenuation factor, The larger it is, the faster the attenuation, is the angular frequency, is the phase; In S3, performing inverse transformation on the 4 narrowband electromagnetic waveforms to obtain the narrowband waveforms of approximate sine waves of the original electromagnetic signals of coal and rock fractures specifically includes: Integrate the narrowband waveform to obtain , and obtain the narrowband waveform of an approximate sine wave of the original electromagnetic signal of coal and rock fracture; Performing positioning according to the vector property of the narrowband waveform to obtain the main frequency point f The rupture source of the narrowband waveform near 1 A 1, specifically including: The spectra monitored by the four three-axis electromagnetic sensors are f 1 - 50 Hz, f 1 + 50 Hz], and the vector signals are all emitted by the rupture source A 1. Based on the three components of the three-axis electromagnetic sensor, a spatial vector unit orthogonal basis { } is established. According to the vector nature of the narrowband waveform with a frequency band of f 1 - 50 Hz, f 1 + 50 Hz], the vector electromagnetic signal is expressed as , where ai , bi , ci is determined according to the narrowband waveform of the three components of the three-axis electromagnetic sensor. i is the number of the three-axis electromagnetic sensor. Combining the coordinates of the three-axis electromagnetic sensor, the straight line where the vector electromagnetic signal is located is expressed as , , , , are all constants, and thus a system of equations is established By solving the above four equations simultaneously, the fracture source is obtained A 1 ( x 1, y 1, z 1); Using the same method, the said main frequency points are obtained f 2. Main frequency points f 3 and the main frequency points f The rupture source of the narrowband waveform near 4 A 2 ( x 2, y 2, z 2), A 3( x 3, y 3, z 3), A 4( x 4, y 4, z 4).
2. The method according to claim 1, wherein The filtering range of the low-pass filtering in S1 is [0~20kHz].
3. The method according to claim 1, characterized in that In S2, the main frequency, secondary main frequency, third main frequency, and fourth main frequency of the low-frequency electromagnetic radiation signal are solved to obtain the main frequency points of the low-frequency electromagnetic radiation signal f 1、 f 2、 f 3、 f 4, specifically including: Through Fourier transform, the electromagnetic signal spectrum in the frequency band of [0~20kHz] is obtained, and the first, second, third, and fourth peak frequencies of the electromagnetic signal spectrum are sequentially selected as the main frequencies. f 1. Sub-main frequency f 2. Third main frequency f 3. Fourth main frequency f 4.
4. The method according to claim 1, wherein In the S5, the coal-rock fracture area is determined according to the fracture source A 1、 A 2、 A 3 and A 4, specifically including: For the rupture source A 1 ( x 1, y 1, z 1)、 A 2 ( x 2, y 2, z 2)、 A 3( x 3, y 3, z 3)、 A 4( x 4, y 4, z 4) are connected by lines, and the enclosed area is the scope of the coal and rock rupture area.
5. A device for locating the coal-rock fracture area based on narrowband electromagnetic signals, characterized in that, Including: An arrangement and filtering module, configured to arrange 4 triaxial electromagnetic sensors around the coal and rock at different horizontal levels to collect vector electromagnetic signals in real time in space, and perform low-pass filtering on each component of the vector electromagnetic signals to retain the low-frequency electromagnetic radiation signals that can effectively characterize the failure of the coal and rock; A solving and extracting module, configured to solve the main frequency, the secondary main frequency, the third main frequency, and the fourth main frequency of the low-frequency electromagnetic radiation signal, so as to obtain the main frequency points of the low-frequency electromagnetic radiation signal f 1、 f 2、 f 3、 f 4, and extract the main frequency points f 1、 f 2、 f 3、 f 4 narrowband electromagnetic waveforms near 4 An inverse transformation module, configured to perform inverse transformation on the 4 narrowband electromagnetic waveforms to obtain the narrowband waveforms of approximate sine waves of the original electromagnetic signals of coal and rock fractures; The rupture source location module is used to perform location according to the vector property of the narrowband waveform to obtain the main frequency point f The rupture source of the narrowband waveform near 1 A 1, and the main frequency point f 2, the main frequency point f 3 and the main frequency point f The rupture source of the narrowband waveform near 4 A 2, A 3 and A 4; A damage area determination module for determining a coal and rock fracture area based on the fracture source A 1、 A 2、 A 3 and A 4 to determine the coal and rock fracture area The solving and extracting module is specifically configured to: Extract 4 main frequency points using wavelet transform f 1、 f 2、 f 3、 f The waveforms near 4, and the frequency bands of the 4 waveforms are narrow bands f 1 - 50 Hz, f 1 + 50 Hz], f 2 - 50 Hz, f 2 + 50 Hz], f 3 - 50 Hz, f 3 + 50 Hz], f 4 - 50 Hz, f 4 + 50 Hz]. The narrow - band waveform signals as a whole show a gradually decaying sine function , where is the amplitude, is the attenuation factor, The larger it is, the faster the attenuation, is the angular frequency, is the phase; The inverse transformation module is specifically configured to: Integrate the narrowband waveform to obtain , and obtain the narrowband waveform of the approximate sine wave of the original electromagnetic signal of coal and rock fracture; The fracture source positioning module is specifically configured to: The spectra monitored by the four three-axis electromagnetic sensors are f 1 - 50 Hz, f 1 + 50 Hz], and the vector signals are all emitted from the fracture source A 1. Based on the three components of the three-axis electromagnetic sensor, a unit orthogonal basis of space vectors { } is established. According to the vector nature of the narrowband waveform with a frequency band of f 1 - 50 Hz, f 1 + 50 Hz], the vector electromagnetic signal is expressed as , where ai , bi , ci is determined according to the narrowband waveform of the three components of the three-axis electromagnetic sensor. i is the number of the three-axis electromagnetic sensor. Combining with the coordinates of the three-axis electromagnetic sensor, the straight line where the vector electromagnetic signal is located is expressed as , , , , are all constants, and thus a system of equations is established By solving the above four equations simultaneously, the fracture source is obtained A 1 ( x 1, y 1, z 1); Using the same method, the said main frequency points are obtained f 2. Main frequency points f 3 and the main frequency points f The rupture source of the narrowband waveform near 4 A 2 ( x 2, y 2, z 2). A 3( x 3, y 3, z 3). A 4( x 4, y 4, z 4).
6. An electronic device, the electronic device includes a processor and a memory, and at least one instruction is stored in the memory, wherein, The at least one instruction is loaded and executed by the processor to implement the method for locating the coal and rock fracture area based on narrowband electromagnetic signals as described in any one of claims 1-4.
7. A computer-readable storage medium storing at least one instruction therein, characterized in that, The at least one instruction is loaded and executed by the processor to implement the method for locating the coal and rock fracture area based on narrowband electromagnetic signals as described in any one of claims 1-4.
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