Magnetic field signal space imaging monitoring method and system for coal rock damage area

Abstract

The invention discloses a magnetic field signal space imaging monitoring method and system for a coal rock damage area, and relates to the technical field of coal rock damage fracture monitoring, and the method comprises the steps: placing a coal rock sample on a stress conduction device and at the center position of a plurality of magnetic field sensors; acquiring the magnetic field signal intensity corresponding to each sampling point time of the coal rock sample in the stress loading process based on the plurality of magnetic field sensors; establishing a magnetic field signal space model of the coal rock sample; determining magnetic field signal distribution in the magnetic field signal space model by using an inverse distance weighting method based on the coordinates of the plurality of magnetic field sensors and the magnetic field signal intensity; and generating a three-dimensional magnetic field imaging graph of the coal rock sample based on the magnetic field signal distribution. The technical problems that in the prior art, three-dimensional magnetic field signal space distribution of the coal rock damage area is difficult to obtain, and danger information of the coal rock damage area is difficult to accurately and effectively reflect are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of coal and rock damage and fracture monitoring, and in particular to a method and system for magnetic field signal spatial imaging monitoring of coal and rock damage and failure areas. Background Art

[0002] In recent years, as shallow coal resources have gradually dried up, more and more coal mines have gradually moved towards deep mining. With the increase in coal mining depth, the geological environment where coal and rock masses are located has become increasingly complex. Under the action of various factors such as stress disturbance and gas occurrence, affected by mining activities, damage, crack initiation and propagation are likely to occur inside the coal and rock masses, resulting in the instability and failure of the coal and rock masses, triggering various disasters such as roadway deformation, collapse, coal and gas outburst, and rock burst, seriously affecting the normal coal mining and personnel safety.

[0003] During the process of coal and rock being damaged by external forces, the internal micro-structure will change, thus leading to the generation and change of magnetic field signals. By monitoring and analyzing the magnetic field signals, information on the internal damage and failure of coal and rock can be obtained. Magnetic field signal monitoring has the following advantages: it can detect early and minute damage changes inside coal and rock and give an alarm before obvious macroscopic damage occurs to the coal and rock; it can better reflect the complex structural changes inside coal and rock, including the initiation and propagation of cracks. The method for monitoring the magnetic field signals of coal and rock damage has the advantage of being non-contact, and will provide important early warning information for safe coal mining.

[0004] However, at present, the existing monitoring of coal and rock magnetic field signals mainly conducts single-point time-series monitoring of coal and rock damage signals through a small number of magnetic field sensors, making it difficult to obtain the three-dimensional magnetic field signal spatial distribution of the coal and rock damage area, resulting in difficulty in intuitively identifying the evolution characteristics of the coal and rock damage area in the form of spatial imaging; at the same time, there is currently no accurate threshold for the intensity of coal and rock damage magnetic field signals, making it difficult to accurately and effectively reflect the dangerous information of the coal and rock damage area. To sum up, in order to achieve accurate, real-time, and intuitive three-dimensional imaging monitoring of the coal and rock damage area and ensure the safe production of coal mines, it is necessary to develop a method and system for magnetic field signal spatial imaging monitoring of the coal and rock damage area to overcome the deficiencies of the existing technology. Summary of the Invention

[0005] In order to solve the above technical problems existing in the prior art, the embodiments of the present invention provide a method and system for magnetic field signal spatial imaging monitoring of coal and rock damage areas. The technical solutions are as follows:

[0006] The present invention provides a method for monitoring the spatial imaging of magnetic field signals in the damaged area of coal and rock, including: placing a coal and rock sample on a stress conduction device and at the central position of a plurality of magnetic field sensors; obtaining the magnetic field signal intensity corresponding to each sampling point time of the coal and rock sample during the loading stress process based on the plurality of magnetic field sensors; establishing a magnetic field signal space model of the coal and rock sample; determining the magnetic field signal distribution within the magnetic field signal space model by using the inverse distance weighted method based on the coordinates of the plurality of magnetic field sensors and the magnetic field signal intensity; generating a three-dimensional magnetic field imaging map of the coal and rock sample based on the magnetic field signal distribution.

[0007] Optionally, determining the magnetic field signal distribution within the magnetic field signal space model by using the inverse distance weighted method based on the coordinates of the plurality of magnetic field sensors and the magnetic field signal intensity includes:

[0008]

[0009] In the formula, is the magnetic field signal intensity at the grid point (x k , y k , z k ) of the magnetic field signal space model at time t j , d i is the Euclidean distance between the grid point (x k , y k , z k ) and the i-th magnetic field sensor, and p is the weight decay factor.

[0010] Optionally, the method further includes: determining a magnetic field signal intensity threshold based on the magnetic field signal distribution; determining damaged grid points of the magnetic field signal space model of the coal and rock sample based on the magnetic field signal intensity threshold.

[0011] Optionally, determining the magnetic field signal intensity threshold based on the magnetic field signal distribution includes:

[0012]

[0013] In the formula, S TH is the magnetic field signal intensity threshold, is the maximum magnetic field signal intensity value of the grid points of the magnetic field signal space model, is the average value of the magnetic field signal intensity of the grid points of the magnetic field signal space model, and α is a constant factor.

[0014] Optionally, the method further includes: comparing the damaged grid points with the actual damaged area of the coal and rock sample, and adjusting the weight decay factor and the magnetic field signal intensity threshold.

[0015] On the other hand, a magnetic field signal spatial imaging monitoring system for the damaged and fractured area of coal and rock is also provided, including: a stress conduction device, a plurality of magnetic field sensors, and a host computer; wherein, the coal and rock specimen is placed on the stress conduction device and located at the central position of the plurality of magnetic field sensors; the stress conduction device is used to conduct the loading stress of the stress loading device to the coal and rock specimen; the magnetic field sensors are used to obtain the magnetic field signal intensity corresponding to each sampling point time during the process of loading stress on the coal and rock specimen; the host computer is used to establish a magnetic field signal spatial model of the coal and rock specimen, determine the magnetic field signal distribution within the magnetic field signal spatial model by using the inverse distance weighted method based on the coordinates of the plurality of magnetic field sensors and the magnetic field signal intensity, and generate a three-dimensional magnetic field imaging map of the coal and rock specimen based on the magnetic field signal distribution.

[0016] Optionally, the host computer is further used to: determine a magnetic field signal intensity threshold based on the magnetic field signal distribution; and determine the damaged grid points of the magnetic field signal spatial model of the coal and rock specimen based on the magnetic field signal intensity threshold.

[0017] Optionally, the host computer is further used to: compare the damaged grid points with the actual damaged area of the coal and rock specimen, and adjust the weight attenuation factor and the magnetic field signal intensity threshold.

[0018] On the other hand, an electronic device is also provided, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the method provided in the embodiment of the present invention is implemented.

[0019] On the other hand, a computer-readable storage medium is also provided, in which program code is stored, and the program code can be called by a processor to execute the method provided in the embodiment of the present invention.

[0020] The embodiment of the present invention provides a magnetic field signal spatial imaging monitoring method and system for the damaged and fractured area of coal and rock, which can effectively shield the interference of weak environmental magnetic fields, collect the spatial magnetic field signals during the damaged and fractured process of coal and rock, fit and calculate the three-dimensional magnetic field imaging distribution of the damaged and fractured area of coal and rock, realize the accurate identification of the damaged and fractured area of coal and rock, and solve the technical problems in the prior art that it is difficult to obtain the three-dimensional magnetic field signal spatial distribution of the damaged and fractured area of coal and rock and it is difficult to accurately and effectively reflect the dangerous information of the damaged and fractured area of coal and rock. Description of the Drawings

[0021] 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.

[0022] Figure 1 is a flowchart of a method for monitoring the spatial imaging of magnetic field signals in the damaged and fractured area of coal and rock provided by an embodiment of the present invention;

[0023] Figure 2 is a schematic diagram showing the calculation of signal intensity by inverse distance weighting method based on the Euclidean distance between each sensor and grid points;

[0024] Figure 3 is a three-dimensional magnetic field imaging diagram of a coal and rock specimen provided by an embodiment of the present invention;

[0025] Figure 4 is a schematic diagram of a system for monitoring the spatial imaging of magnetic field signals in the damaged and fractured area of coal and rock provided by an embodiment of the present invention;

[0026] Figure 5 is a three-dimensional schematic diagram of a spatial distribution bracket for magnetic field sensors provided by an embodiment of the present invention.

[0027] In the figure: 10, coal and rock damage magnetic field monitoring device; 11, magnetic field shielding cylinder; 12, stress conduction device; 13, magnetic field sensor; 14, cylinder base; 15, spatial distribution bracket for magnetic field sensors, 151, horizontal slide rail, 152, vertical slide rail; 20, stress loading device; 21, press operation console; 22, electro-hydraulic servo press; 30, magnetic field signal acquisition device; 40, upper computer; 50, coal and rock specimen; 60, magnetic measurement signal transmission cable. Specific embodiments

[0028] The following will describe the technical solutions in the present invention with reference to the accompanying drawings.

[0029] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to represent examples, illustrations or explanations. Any embodiment or design described as "example" in the present invention should not be construed as being more preferred or having more advantages than other embodiments or designs. Rather, the use of the word "example" is intended to present concepts in a specific manner. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one of the two.

[0030] To make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will be described in detail with reference to the accompanying drawings and specific embodiments.

[0031] Example 1

[0032] Figure 1 is a flowchart of a method for monitoring the spatial imaging of magnetic field signals in the damaged and fractured area of coal and rock according to an embodiment of the present invention. As Figure 1 shown, the method specifically includes the following steps:

[0033] Step S102, place the coal and rock sample on the stress conduction device and at the central position of multiple magnetic field sensors.

[0034] Specifically, taking the central point at the bottom of the coal and rock sample as the coordinate origin, establish a three-dimensional rectangular coordinate system, use a rangefinder to measure the distance between each magnetic field sensor and the coordinate origin, and calculate and record the spatial coordinates of each magnetic field sensor: P i =(x i ,y i ,z i ), i = 1, 2,..., n, where P i is the three-dimensional spatial coordinate of the i-th magnetic field sensor.

[0035] Step S104, obtain the magnetic field signal intensity corresponding to each sampling point time during the loading stress process of the coal and rock sample based on multiple magnetic field sensors.

[0036] Specifically, collect the magnetic field signal intensity during the coal and rock damage and fracture process, and record the time t j of each sampling point and the magnetic field signal intensity S i (t j ), where i = 1, 2,..., n represents the i-th magnetic field sensor, and S i is the corresponding magnetic field signal intensity.

[0037] Step S106, establish a spatial model of the magnetic field signal of the coal and rock sample.

[0038] Specifically, set the three-dimensional grid points in the area of the coal and rock sample, and the coordinates of the grid points are Q k =(x k ,y k ,z k ), where k = 1, 2,..., M, and M is the number of grid points.

[0039] Step S108, based on the coordinates and magnetic field signal intensities of multiple magnetic field sensors, use the inverse distance weighting method to determine the magnetic field signal distribution within the magnetic field signal spatial model.

[0040] Figure 2 is a schematic diagram of calculating the signal intensity by weighting based on the Euclidean distance between each sensor and the grid point using the inverse distance weighting method according to an embodiment of the present invention. Specifically, as Figure 2As shown, for each grid point (x k , y k , z k ), based on its distances from all sensors and the magnetic field signal strength S i (t j ), the magnetic field strength of this grid point is calculated based on the inverse distance weighting method:

[0041]

[0042] In the formula, is the magnetic field signal strength of the grid point (x k , y k , z k ) in the magnetic field signal space model at time t j , d i is the Euclidean distance between the grid point (x k , y k , z k ) and the i-th magnetic field sensor, and p is the weight attenuation factor. In the embodiments of the present invention, p = 2.

[0043] Step S110, generate a three-dimensional magnetic field imaging map of the coal and rock specimen based on the magnetic field signal distribution.

[0044] Figure 3 is a three-dimensional magnetic field imaging map of a coal and rock specimen provided according to the embodiments of the present invention. As Figure 3 shown, according to each grid point Q k in the target area and its magnetic field signal strength , draw a three-dimensional magnetic field imaging map: use Q k and its corresponding magnetic field strength value to generate a three-dimensional magnetic field imaging map through color mapping technology. Different colors represent different magnetic field strength values. The heat map color gradient is adopted, with red representing strong signals and blue representing weak signals. The magnetic field change characteristics of different regions during the coal and rock damage process are reflected by the color gradient.

[0045] Specifically, the method provided by the embodiments of the present invention further includes:

[0046] Determine the magnetic field signal strength threshold based on the magnetic field signal distribution;

[0047] Determine the damaged grid points of the magnetic field signal space model of the coal and rock specimen based on the magnetic field signal strength threshold.

[0048] Specifically, analyze the distribution characteristics of coal and rock damage according to the three-dimensional magnetic field imaging map, and set the signal strength threshold S TH :

[0049]

[0050] In the formula, S TH is the magnetic field signal intensity threshold, is the maximum magnetic field signal intensity value of the grid points of the magnetic field signal spatial model, is the average magnetic field signal intensity of the grid points of the magnetic field signal spatial model, and α is a constant factor used to adjust the threshold sensitivity; in some alternative embodiments, α can take a value of 1.2 - 2.0.

[0051] Mark the grid points with a signal intensity higher than the threshold S TH as damaged grid points; if the magnetic field intensity of the grid point is greater than the signal intensity threshold S TH , then determine it as a damaged grid point and record the regional coordinates of the damaged grid point.

[0052] Specifically, the method provided by the embodiment of the present invention further includes: comparing the damaged grid points with the actual failure area of the coal and rock specimen, and adjusting the weight decay factor and the magnetic field signal intensity threshold.

[0053] Specifically, compare the red area, the damaged grid point area, and the actual failure area of the coal and rock in the three-dimensional magnetic field imaging diagram, and adjust the weight decay factor p and the signal intensity threshold S TH :

[0054] If the area of the red area in the three-dimensional magnetic field imaging diagram is larger than the actual failure area of the coal and rock, then appropriately reduce the weight decay factor p, otherwise increase the weight decay factor p;

[0055] If the area of the damaged grid point area is larger than the actual failure area of the coal and rock, then appropriately increase the signal intensity threshold S TH , that is, increase the constant factor α, otherwise reduce the constant factor α;

[0056] Adjust the weight decay factor p and the signal intensity threshold S TH , change the areas of the red area and the damaged grid point area in the three-dimensional magnetic field imaging diagram, so that there is a corresponding relationship among the red area, the damaged grid point area, and the actual failure area of the coal and rock in the three-dimensional magnetic field imaging diagram.

[0057] Embodiment 2

[0058] Figure 4 is a schematic diagram of a magnetic field signal spatial imaging monitoring system for the damage and failure area of coal and rock provided by the embodiment of the present invention. As Figure 4As shown in the figure, the system includes: a coal and rock failure magnetic field monitoring device 10, a stress loading device 20, a magnetic field signal acquisition device 30, and a host computer 40; among them, the coal and rock failure magnetic field monitoring device 10 includes a magnetic field shielding cylinder 11, a stress conduction device 12, and a plurality of magnetic field sensors 13; the stress conduction device 12 and the plurality of magnetic field sensors 13 are both arranged inside the magnetic field shielding cylinder 11, the stress loading device 20 is loaded at both ends of the stress conduction device 12, a coal and rock specimen 50 is placed inside the stress conduction device 12, and the plurality of magnetic field sensors 13 are distributed around the coal and rock specimen 50. The magnetic field signal acquisition device 30 is connected to the magnetic field sensors 13, and the host computer 40 is connected to the magnetic field signal acquisition device 30.

[0059] Specifically, the coal and rock specimen 50 is placed on the stress conduction device 12 and is located at the central position of the plurality of magnetic field sensors 13.

[0060] The stress conduction device 12 is used to conduct the loading stress of the stress loading device 20 to the coal and rock specimen 50;

[0061] The magnetic field sensor 13 is used to obtain the magnetic field signal intensity corresponding to each sampling point time during the process of loading stress on the coal and rock specimen 50;

[0062] The host computer 40 is used to establish a magnetic field signal space model of the coal and rock specimen 50, determine the magnetic field signal distribution in the magnetic field signal space model by using the inverse distance weighted method based on the coordinates and magnetic field signal intensities of the plurality of magnetic field sensors 13, and generate a three-dimensional magnetic field imaging map of the coal and rock specimen 50 based on the magnetic field signal distribution.

[0063] Specifically, the magnetic field shielding cylinder 11 is used to shield external magnetic field signals during the process of stress loading on the coal and rock specimen 50.

[0064] The magnetic field signal acquisition device 30 is used to collect the magnetic field signal intensities obtained by the plurality of magnetic field sensors 13.

[0065] Specifically, as Figure 4 shown, the coal and rock failure magnetic field monitoring device 10 further includes a cylinder base 14, and the magnetic field shielding cylinder 11 is arranged on the cylinder base 14; among them, both the magnetic field shielding cylinder 11 and the cylinder base 14 are composed of multiple layers of permalloy layers arranged at intervals.

[0066] Specifically, as Figure 4 shown, the stress loading device 20 includes a press operation table 21 and an electro-hydraulic servo press 22; the coal and rock failure magnetic field monitoring device 10 is arranged on the electro-hydraulic servo press 22, and the loading stress of the electro-hydraulic servo press 22 is controlled through the press operation table 21.

[0067] In an alternative embodiment provided by the embodiments of the present invention, the coal and rock failure magnetic field monitoring device 10 further includes a plurality of magnetic field sensor spatial distribution brackets 15. Figure 5 It is a three-dimensional schematic diagram of a magnetic field sensor spatial distribution bracket provided by the embodiments of the present invention. As Figure 5 shown, a plurality of magnetic field sensor spatial distribution brackets 15 are uniformly arranged around the coal and rock specimen 50.

[0068] Preferably, the coal and rock failure magnetic field monitoring device 10 includes 5 magnetic field sensor spatial distribution brackets 15, and two magnetic field sensors 13 are arranged on each magnetic field sensor spatial distribution bracket 15 to cover all key areas during the coal and rock damage process.

[0069] Specifically, as Figure 5 shown, the magnetic field sensor spatial distribution bracket 15 includes a horizontal slide rail 151 and a vertical slide rail 152 perpendicular to the horizontal slide rail 151; the horizontal slide rail 151 is fixed on the cylinder base 14, the bottom end of the vertical slide rail 152 is slidably arranged on the horizontal slide rail 151, and the magnetic field sensor 13 is slidably arranged on the vertical slide rail 152. Specifically, the vertical slide rail 152 is fixed to the horizontal slide rail 151 through a profile angle code and can move back and forth on the horizontal slide rail 151, and the magnetic field sensor 13 is fixed to the vertical slide rail 152 through a slider and can move up and down on the vertical slide rail 152.

[0070] In the embodiments of the present invention, the magnetic field sensor spatial distribution bracket is used to accurately control the direction and distance from the magnetic field sensor to the coal and rock specimen. By adjusting the length of the slide rail of the bracket, the distance between the magnetic field sensor and the coal and rock specimen can be controlled, and magnetic field signal data at different distances and angles can be obtained.

[0071] Preferably, the magnetic field sensor spatial distribution bracket also includes sliding resistance to ensure that the position of the magnetic field sensor does not shift during the entire experiment, minimizing signal interference caused by the position error of the magnetic field sensor.

[0072] Specifically, as Figure 4 shown, the magnetic field signal acquisition device 30 is connected to the magnetic field sensor 13 through a magnetic field measurement signal transmission cable 60. Specifically, the magnetic field measurement signal transmission cable 60 passes through a prefabricated lead hole provided on the magnetic field shielding cylinder 11 and the cylinder base 14, and after the magnetic field signal is acquired, it is transmitted to the magnetic field signal acquisition device 30 through the magnetic field measurement signal transmission cable 60.

[0073] Preferably, the upper computer 40 includes magnetic field signal imaging software and a high-performance computer. The high-performance computer is connected to the magnetic field signal acquisition device 30, and the magnetic field signals at different positions in the coal and rock failure space monitored are displayed, stored, and spatially imaged through the magnetic field signal software.

[0074] Specifically, the host computer 40 is further configured to:

[0075] Determine a magnetic field signal intensity threshold based on the magnetic field signal distribution;

[0076] Determine the damaged grid points of the magnetic field signal spatial model of the coal and rock specimen based on the magnetic field signal intensity threshold.

[0077] Specifically, the host computer 40 is further configured to: Compare the damaged grid points with the actual failure area of the coal and rock specimen, and adjust the weight decay factor and the magnetic field signal intensity threshold.

[0078] As can be seen from the above description, the embodiments of the present invention provide a method and system for monitoring the spatial imaging of the magnetic field signal in the damaged area of coal and rock, which can effectively shield the interference of weak environmental magnetic fields, collect the spatial magnetic field signals during the damage process of coal and rock, fit and calculate the three-dimensional magnetic field imaging distribution in the damaged area of coal and rock, and achieve accurate identification of the damaged area of coal and rock, solving the technical problems existing in the prior art that it is difficult to obtain the three-dimensional magnetic field signal spatial distribution in the damaged area of coal and rock and it is difficult to accurately and effectively reflect the dangerous information in the damaged area of coal and rock.

[0079] The present invention also provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the method provided by the embodiments of the present invention is implemented.

[0080] The present invention also provides a computer-readable storage medium, in which program code is stored, and the program code can be called by the processor to execute the method provided by the embodiments of the present invention.

[0081] In several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point, the displayed or discussed mutual coupling or direct coupling or communication connection can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be in an electrical, mechanical, or other form.

[0082] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0083] As described above, it is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the said claims.

Claims

1. A method for monitoring the spatial imaging of magnetic field signals in the damaged and fractured area of coal and rock, characterized in that, Comprising: Placing a coal-rock sample on a stress conduction device and at the central position of a plurality of magnetic field sensors; Based on the plurality of magnetic field sensors, obtaining the magnetic field signal intensity corresponding to each sampling point time during the stress loading process of the coal-rock sample; Establishing a magnetic field signal space model of the coal-rock sample; Based on the coordinates of the plurality of magnetic field sensors and the magnetic field signal intensity, using the inverse distance weighting method to determine the magnetic field signal distribution within the magnetic field signal space model; Generating a three-dimensional magnetic field imaging map of the coal-rock sample based on the magnetic field signal distribution.

2. The method according to claim 1, characterized in that Based on the coordinates of the plurality of magnetic field sensors and the magnetic field signal intensity, using the inverse distance weighting method to determine the magnetic field signal distribution within the magnetic field signal space model, including: In the formula, is the magnetic field signal intensity at the grid point (x k , y k , z k ) of the magnetic field signal spatial model at time t j , d i is the Euclidean distance between the grid point (x k , y k , z k ) and the i-th magnetic field sensor, and p is the weight decay factor.

3. The method according to claim 1, characterized in that The method further includes: Based on the magnetic field signal distribution, determining a magnetic field signal intensity threshold; Based on the magnetic field signal intensity threshold, determining the damaged grid points of the magnetic field signal space model of the coal-rock sample.

4. The method according to claim 3, characterized in that, Based on the magnetic field signal distribution, determining a magnetic field signal intensity threshold, including: where S TH is the magnetic field signal intensity threshold value, is the maximum magnetic field signal intensity value of the grid points of the magnetic field signal spatial model, is the average magnetic field signal intensity of the grid points of the magnetic field signal spatial model, and α is a constant factor.

5. The method according to claim 3, wherein The method further includes: comparing the damaged grid points with the actual failure area of the coal-rock sample, and adjusting the weight attenuation factor and the magnetic field signal intensity threshold.

6. A magnetic field signal spatial imaging monitoring system for the damaged and fractured area of coal and rock, characterized in that, Comprising: A stress conduction device, a plurality of magnetic field sensors, and a host computer; wherein, the coal-rock sample is placed on the stress conduction device and at the central position of the plurality of magnetic field sensors; The stress conduction device is used to conduct the loading stress of the stress loading device to the coal-rock sample; The magnetic field sensors are used to obtain the magnetic field signal intensity corresponding to each sampling point time during the stress loading process of the coal-rock sample; The host computer is used to establish a magnetic field signal space model of the coal-rock sample, based on the coordinates of the plurality of magnetic field sensors and the magnetic field signal intensity, using the inverse distance weighting method to determine the magnetic field signal distribution within the magnetic field signal space model, and generating a three-dimensional magnetic field imaging map of the coal-rock sample based on the magnetic field signal distribution.

7. The system according to claim 6, wherein The host computer is further used for: Based on the magnetic field signal distribution, determining a magnetic field signal intensity threshold; Based on the magnetic field signal intensity threshold, determining the damaged grid points of the magnetic field signal space model of the coal-rock sample.

8. The method according to claim 7, wherein The host computer is further used for: comparing the damaged grid points with the actual failure area of the coal-rock sample, and adjusting the weight attenuation factor and the magnetic field signal intensity threshold.

9. An electronic device, characterized in that, Comprising: A memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the method described in any one of claims 1-5 is implemented.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores program codes, and the program codes can be called by the processor to execute the method described in any one of claims 1 to 5.

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