Coal mine underground area detection system and method based on simultaneous detection of multiple detection points

Abstract

The invention discloses a coal mine underground area detection system and method based on simultaneous detection of multiple detection points. The system comprises multiple groups of sensors and a data collection and analysis device, wherein each group of sensors comprises a transmitting sensor and a receiving sensor, and each sensor is correspondingly arranged in a drill hole of an area to be detected and is connected with the data collection and analysis device through a connecting line; the data collection and analysis device is used for performing CT inversion on the signal waves initially received by each receiving sensor, preliminarily judging whether a disaster area exists in each direction around the to-be-detected area, and performing collaborative analysis operation according to the signal waves re-received by each receiving sensor after the position is adjusted so as to determine whether the disaster area exists in the to-be-detected area; and determining a disaster type and a spatial position coordinate of the disaster area. According to the system, through combined monitoring and verification among a plurality of measuring points by each group of sensors, disaster types and disaster position coordinates can be accurately determined, and the underground operation safety is improved.

Description

Technical Field

[0001] This application relates to the field of mine geophysical exploration safety monitoring technology, and in particular to a coal mine underground area detection system and method based on simultaneous detection at multiple measuring points. Background Technology

[0002] Currently, the safety of underground coal mining is receiving increasing attention. Due to the complex geological conditions underground, which are often accompanied by disasters such as water hazards and stress impacts, it is necessary to explore unknown areas underground to detect the presence of water hazards or stress concentrations, thereby ensuring the safety of tunnel excavation.

[0003] In related technologies, geophysical exploration or drilling are commonly used for regional detection. However, in practical applications, the detection methods in these technologies yield relatively limited results and cannot pinpoint the precise and specific location of disasters. Summary of the Invention

[0004] The purpose of this application is to at least partially solve one of the aforementioned technical problems.

[0005] Therefore, the first objective of this application is to propose a coal mine underground area detection system based on simultaneous detection at multiple measuring points. This system, through joint monitoring and verification by various sets of sensors at multiple measuring points, can accurately determine the type and location coordinates of disasters, thereby improving the accuracy of underground area detection and the safety of underground operations.

[0006] The second objective of this application is to propose a method for underground coal mine area detection based on simultaneous detection at multiple measurement points.

[0007] The third objective of this application is to provide a non-transitory computer-readable storage medium.

[0008] To achieve the above objectives, the first aspect of this application proposes a coal mine underground area detection system based on simultaneous detection at multiple measuring points, comprising: multiple sets of sensors and a data collection and analysis device; wherein,

[0009] Each sensor group includes a transmitting sensor and a receiving sensor, each sensor group being used to transmit and receive signal waves for computed tomography (CT) inversion;

[0010] Each of the transmitting sensors and each of the receiving sensors are respectively arranged in the borehole of the area to be detected in the underground roadway, and are connected to the data collection and analysis device through connecting lines;

[0011] The data collection and analysis device is used to perform CT inversion on the signal waves initially received by each of the receiving sensors, to preliminarily determine whether there are disaster areas in various directions around the area to be detected, and to perform collaborative analysis and calculation based on the signal waves re-received by each of the receiving sensors after adjusting their positions, to determine the disaster type and spatial coordinates of the disaster area.

[0012] In addition, the coal mine underground area detection system based on simultaneous detection at multiple measurement points according to the embodiments of this application also has the following additional technical features:

[0013] Optionally, in some embodiments, the data collection and analysis device includes: multiple transmitting interfaces and multiple receiving interfaces, each of the transmitting interfaces being connected to a corresponding transmitting sensor via a connecting line, and each of the receiving interfaces being connected to a corresponding receiving sensor via a connecting line.

[0014] Optionally, in some embodiments, the data collection and analysis device further includes: a switch for controlling the opening and closing of the area detection system; a data interface for exporting detection data; and a knob for adjusting the detection parameters of the multiple sets of sensors.

[0015] To achieve the above objectives, the second aspect of this application proposes a method for underground coal mine area detection based on simultaneous detection at multiple measuring points, applied to the underground coal mine area detection system based on simultaneous detection at multiple measuring points described in the first aspect. The method includes:

[0016] Multiple pairs of boreholes are drilled in various directions around the area to be detected in the underground roadway, and multiple sets of sensors are arranged in the boreholes accordingly.

[0017] Each set of sensors emits signal waves to the corresponding direction to detect the area to be detected, and the data collection and analysis device obtains the monitoring data corresponding to the signal waves received by each receiving sensor.

[0018] The data collection and analysis device performs CT inversion on the monitoring data collected by each group of sensors to preliminarily determine whether there are disaster areas in various directions around the area to be detected.

[0019] For the disaster area, new boreholes are drilled and the positions of each sensor are adjusted. The data collection and analysis device performs collaborative analysis and calculation on the signal waves re-received by each receiving sensor after the position adjustment to determine the disaster type and spatial coordinates of the disaster area.

[0020] Optionally, in some embodiments, drilling multiple pairs of boreholes in various directions around the area to be detected in the underground roadway includes drilling a pair of boreholes at the top plate, two side walls, and bottom plate of any section of the area to be detected.

[0021] Optionally, in some embodiments, the preliminary determination of whether there are disaster areas in various directions around the area to be detected includes: determining the wave speed and wave speed distribution uniformity of the signal waves emitted by each transmitting sensor during the propagation process; determining whether there are water-damaged areas based on the wave speed; and determining whether there are stress concentration areas based on the wave speed distribution uniformity.

[0022] Optionally, in some embodiments, the step of re-drilling holes in the disaster area includes: keeping the corresponding holes in the disaster area unchanged, and adding multiple holes in the disaster area at preset intervals, wherein the multiple holes added are used to arrange the various sensors in the non-disaster area.

[0023] Optionally, in some embodiments, the spatial coordinates of the disaster area are calculated using the following formula:

[0024]

[0025] Where, x n It is the horizontal value from the target source detected by the nth receiving sensor to the nth receiving sensor, y n It is the depth value from the target source to the receiving sensor, z n v is the vertical height from the target source to the receiving sensor. i It is the propagation speed of the signal wave, t n t0 is the time it takes for the signal wave to travel from the target source to the receiving sensor, x0, y0 and z0 are the spatial coordinates of the disaster area, and t0 is the time it takes for the signal wave to travel from the disaster area to the receiving sensor.

[0026] Optionally, in some embodiments, determining the disaster type of the disaster area includes: preliminarily determining the disaster type of the disaster area based on the monitoring data collected by each group of sensors; and determining the disaster type of the disaster area by comparing the disaster types corresponding to each group of sensors.

[0027] To achieve the above objectives, a third aspect of this application provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the coal mine underground area detection method based on simultaneous detection of multiple measuring points as described in any one of the second aspects of the embodiments above.

[0028] The technical solutions provided by the embodiments of this application bring at least the following beneficial effects:

[0029] This application utilizes a combination of sensors at multiple monitoring points for joint monitoring and verification. Each sensor group works in concert with the others to detect unknown areas around the tunnel. Each sensor group can roughly estimate the presence of potential hazards in the unknown area. Once a hazard is identified, various sensors are redeployed to target the hazardous area. Through the arrangement of the sensors and the joint monitoring and verification algorithm, joint monitoring and verification among the sensor groups can be achieved, determining the specific type of hazard and its precise spatial coordinates. Furthermore, the sensors in this application are compact and lightweight, the data collection and analysis device is easy to operate, and the inversion calculation process is relatively convenient, reducing the complexity of the monitoring process. This application provides significant assistance for safe underground mining by conducting regional detection. Based on the monitoring results, it enables timely adjustments, avoidance, and protection measures for hazardous areas in unknown regions, ensuring the safety of underground workers by anticipating potential hazards around the mine wall. Therefore, this application improves the accuracy of underground regional detection and the safety of underground operations.

[0030] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0031] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0032] Figure 1 This is a schematic diagram of the structure of a coal mine underground area detection system based on simultaneous detection at multiple measuring points, as proposed in an embodiment of this application.

[0033] Figure 2 This is a flowchart of a coal mine underground area detection method based on simultaneous detection at multiple measuring points, as proposed in an embodiment of this application.

[0034] Figure 3 This is a schematic diagram illustrating a specific coal mine underground area detection process based on simultaneous detection at multiple measuring points, as proposed in an embodiment of this application.

[0035] Figure 4 This is a schematic diagram of a drilling method in a practical field application according to an embodiment of this application;

[0036] Figure 5 This is a schematic diagram of a re-drilled hole in a practical field application, as proposed in an embodiment of this application. Detailed Implementation

[0037] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0038] The following description, with reference to the accompanying drawings, describes an embodiment of a coal mine underground area detection system and method based on simultaneous detection at multiple measurement points.

[0039] Figure 1 This is a schematic diagram of the structure of a coal mine underground area detection system based on simultaneous detection at multiple measuring points, as proposed in an embodiment of this application. Figure 1 As shown, the system includes: multiple sets of sensors (in Figure 1 (Only one set of sensors is shown for illustrative purposes) and data collection and analysis device 9.

[0040] Each sensor group includes a transmitting sensor 1 and a receiving sensor 2. Each sensor group is used to transmit and receive signal waves for computed tomography (CT) inversion. That is, the transmitting sensor 1 transmits a signal wave, which propagates within a corresponding range of the area to be detected and is then received by the receiving sensor 2 in the same group for CT inversion calculation.

[0041] Each transmitting sensor 1 and each receiving sensor 2 are respectively arranged in the borehole of the area to be detected in the underground roadway, and are connected to the data collection and analysis device 9 through the connecting line 5.

[0042] Specifically, the detection system of this application consists of two main parts. The first part consists of sensor equipment, including a transmitting sensor 1, a receiving sensor 2, and a connecting cable 5 in each group of sensors. The second part consists of a data collection and analysis device 9, and each group of sensors is connected to the corresponding interface in the data collection and analysis device 9 via the connecting cable 5.

[0043] That is, in one embodiment of this application, such as Figure 1 As shown, the data collection and analysis device includes: multiple transmitting interfaces 3 and multiple receiving interfaces 4. Each transmitting interface 3 is connected to a corresponding transmitting sensor 1 via a connecting line 5, and each receiving interface 4 is connected to a corresponding receiving sensor 2 via a connecting line 5.

[0044] As an example, assuming four sets of sensors are used, then... Figure 1 The data collection and analysis device 9 includes four corresponding interfaces, which can be used to insert four pairs of sensors into JK1 and FS1, JK2 and FS2, JK3 and FS3 and JK4 and FS4 respectively, so that the four sets of monitoring data collected by the four sensors can be viewed on the data analysis device 9.

[0045] In one embodiment of this application, the data collection and analysis device further includes: a switch for controlling the opening and closing of the area detection system; a data interface for exporting detection data; and a knob for adjusting the detection parameters of multiple sets of sensors.

[0046] Specifically, such as Figure 1 As shown, the switch 6 on the data collection and analysis device 9 controls the activation and deactivation of the detection system. When area detection is required, switch 6 is turned on to start the detection system. The data interface 7 can be a data interface based on various data transmission protocols, such as a USB port. Data can be exported externally through the data interface 7 for backup and other processing. The knob 8 is used to adjust system parameters, such as the detection frequency of multiple sensors and the wavelength and velocity of the emitted signal waves, to adapt to different application scenarios.

[0047] The data collection and analysis device 9 is used to perform CT inversion on the signal waves initially received by each receiving sensor, to preliminarily determine whether there are disaster areas in various directions around the area to be detected, and to perform collaborative analysis and calculation based on the signal waves re-received by each receiving sensor after adjusting its position, to determine the disaster type and spatial coordinates of the disaster area.

[0048] In this application, the signal wave emitted by the sensor can be various detection signal waves used for tomographic imaging, such as electromagnetic waves, elastic waves, and vibration waves.

[0049] It should be noted that CT inversion uses tomographic imaging technology to invert the distribution of physical parameters of the underground medium, thereby enabling monitoring and early warning of geological structures, stress distribution, etc. This application first performs CT inversion based on the initial data collected by each pair of sensors to preliminarily determine whether there is a hazard in the corresponding direction of each pair of sensors. The process of performing CT inversion based on the data collected by each pair of sensors can refer to the CT inversion method in the relevant embodiments.

[0050] Specifically, the data collection and analysis device 9 of this application is pre-equipped with relevant positioning algorithms and algorithms for joint monitoring and verification using sensor data. After the inverted data is transmitted to the data collection and analysis device 9, CT inversion is first performed using the signals collected by each set of sensors initially deployed to preliminarily detect whether there is any danger in each direction of the area to be detected. Then, after repositioning the sensors according to the specific location of the dangerous area, collaborative analysis and calculation are performed based on the data monitored by multiple sets of sensors to jointly monitor and verify the initially determined disaster area, and finally determine the disaster type and the specific location of the disaster area.

[0051] In summary, the coal mine underground area detection system based on simultaneous multi-point detection in this application embodiment uses multiple sensor groups to jointly monitor and verify at multiple points. Through mutual cooperation and verification among these sensor groups, it performs area detection on unknown areas surrounding the roadway. Each sensor group can roughly estimate whether there are potential hazards in the unknown area. Once a hazard is confirmed, various sensors are redeployed to target the hazardous area. Through the arrangement of the sensor groups and the joint monitoring and verification algorithm, joint monitoring and verification among the sensor groups can be achieved, determining the specific type of hazard and its precise spatial coordinates. Furthermore, the sensors in this system are compact and lightweight, the data collection and analysis devices are easy to operate, and the inversion calculation process is relatively convenient, reducing the complexity of the monitoring process. This system provides significant assistance for safe underground mining by conducting area detection. It can promptly adjust, avoid, and protect against hazardous areas in unknown areas based on monitoring results, ensuring the safety of underground workers by anticipating potential hazards around the mine walls. Therefore, this system improves the accuracy of underground area detection and the safety of underground operations.

[0052] To more clearly illustrate the specific implementation process of the coal mine underground area detection system based on simultaneous multi-point detection in this application, a detailed description of a coal mine underground area detection method based on simultaneous multi-point detection proposed in an embodiment of this application is provided below. This method is applied to the coal mine underground area detection system based on simultaneous multi-point detection in the above embodiments, that is, it utilizes the relevant equipment in the above system to perform relevant functions to implement the method of this embodiment. The various devices involved in this method are as described in the above embodiments and will not be repeated here.

[0053] Figure 2 This is a flowchart of a coal mine underground area detection method based on simultaneous detection at multiple measuring points, as proposed in an embodiment of this application. Figure 2 As shown, the method includes the following steps:

[0054] Step S101: Drill multiple pairs of holes in various directions around the area to be detected in the underground roadway, and arrange multiple sets of sensors in the corresponding holes.

[0055] Specifically, this step begins with deploying the various sensors. Multiple measuring points are selected in different directions at a specific location within the area to be detected. A pair of boreholes is drilled at each measuring point, and then the sensors are placed in their corresponding designed holes. The number and location of the boreholes can be determined based on actual factors such as measurement accuracy requirements and the conditions of the underground tunnels, ensuring that the monitoring range of each set of sensors can cover the entire perimeter of the area to be detected.

[0056] In one embodiment of this application, multiple pairs of boreholes are drilled in various directions around the area to be detected in the underground roadway, including: drilling a pair of boreholes at the top plate, two side walls and bottom plate of any section of the area to be detected.

[0057] To illustrate the implementation process of the detection method of this application more clearly and intuitively, the following description is based on a specific detection process in a practical application proposed in one embodiment.

[0058] like Figure 3 As shown in the example, in this case, holes are first drilled at four locations on a cross-section of a site to be surveyed: the top plate, the two side walls, and the bottom plate. Two holes are drilled at each location, as shown in the diagram. Figure 4 As shown. Then, place the four sets of sensors (each set including a transmitting sensor and a receiving sensor) into the pre-drilled design holes 10. In this example, a total of eight sensors are arranged at four measuring points, which can simultaneously receive inversion wave signals from four directions: the top plate, the two side walls, and the bottom plate.

[0059] Therefore, this example uses four pairs of sensors at a cross-section of the tunnel to form a system for joint monitoring of the surrounding area, so as to obtain information on potential water hazards, stress and other disasters that may occur in the area around the cross-section.

[0060] Step S102: Each group of sensors transmits signal waves to the corresponding direction to detect the area to be detected, and the data collection and analysis device acquires the monitoring data corresponding to the signal waves received by each receiving sensor.

[0061] Specifically, in each set of sensors, the transmitting sensor emits a signal wave towards its designated location. After propagating within a corresponding range of the area to be detected, the signal wave is received by the receiving sensor in the same group. The data collection and analysis device acquires the signal wave received by each receiving sensor and monitors information such as the propagation speed, propagation path, and attenuation level of the received signal wave (i.e., monitoring data). Furthermore, the monitoring data corresponding to each set of sensors can be viewed on the data analysis device.

[0062] Step S103: Perform CT inversion on the monitoring data collected by each group of sensors using the data collection and analysis device to preliminarily determine whether there are disaster areas in various directions around the area to be detected.

[0063] Specifically, the data collection and analysis device inverts the CT signal waves received by each group of sensors. For example, it infers the approximate geological conditions based on the attenuation of the CT signal waves, thereby making a preliminary judgment on whether there are disaster areas and the type of disaster areas in various directions around the area to be detected.

[0064] In one embodiment of this application, the preliminary determination of whether there are disaster areas in various directions around the area to be detected includes: determining the wave speed and wave speed distribution uniformity of the signal waves emitted by each transmitting sensor during the propagation process; determining whether there are water damage areas based on the wave speed; and determining whether there are stress concentration areas based on the wave speed distribution uniformity.

[0065] Specifically, in strata containing fractures or faults, the propagation path of signal waves is deflected or scattered, resulting in non-uniform wave velocity distribution. Furthermore, wave velocities differ significantly in different media; for example, signal waves propagate at different speeds in normal coal seams and aquifers. Therefore, this embodiment of the application analyzes the inversion wave signals received by each set of sensors using a data collection and analysis device. This allows for a preliminary determination of whether a disaster area exists in the azimuth corresponding to each set of sensors and the type of disaster corresponding to that area. For instance, based on monitoring data collected by a set of sensors, if it is determined that the uniformity of wave velocity distribution in a certain area is lower than a preset threshold and the wave velocity distribution is within a certain range, it is determined that a fractured area caused by stress concentration disaster exists in that area.

[0066] Continuing with the example above, such as Figure 3 As shown, by inverting the four sets of monitoring data through a data collection and analysis device, it is possible to check whether there are potential hazards within a 100m range of a specific location (such as the roof). If it is determined that there is no hazard area in any direction, mining continues for another 100m in the tunnel, and steps S101 to S103 are repeated. If it is determined that there is a hazard area in a certain direction, subsequent monitoring continues for that hazard area.

[0067] Step S104: Drill new boreholes in the disaster area and adjust the positions of each sensor. Use a data collection and analysis device to perform collaborative analysis and calculation on the signal waves received by each receiving sensor after the position adjustment to determine the disaster type and spatial coordinates of the disaster area.

[0068] Specifically, after roughly identifying the disaster area through the previous step, new holes are drilled and the positions of each set of sensors are repositioned according to the location of the disaster area. The sensors, after being repositioned, jointly monitor the disaster area. The data collection and analysis device then analyzes and processes the newly collected monitoring data from each set of sensors. Based on the arrangement of each set of sensors, relevant program algorithms are used to calculate the type of disaster, the scope of impact, and the specific spatial coordinates of the disaster area.

[0069] In one embodiment of this application, re-drilling holes in a disaster area includes: keeping the corresponding holes in the disaster area unchanged, and adding multiple holes in the disaster area at preset intervals, wherein the multiple holes added are used to arrange various sensors in the non-disaster area.

[0070] Continuing with the example above, as follows: Figure 3 As shown, new holes are drilled at the specific locations of the initially identified disaster area (e.g., the roof). For example, as... Figure 5 As shown, keeping the original two holes in the top plate unchanged, another hole is drilled every 50m, for a total of six new top plate holes 11. Four pairs of sensors are then placed into the eight top plate holes 11 at specific locations (the top plate in this example). Since the original two top plate holes were spaced 50m apart, the eight newly drilled holes cover a total monitoring distance of 350m.

[0071] Furthermore, based on the aforementioned sensor arrangement and related algorithm, the specific disaster type and spatial location are accurately determined through joint monitoring and verification among the four sets of sensors.

[0072] In one embodiment of this application, the spatial coordinates of the disaster area can be calculated using the monitoring data re-collected by each set of sensors, according to the following formula:

[0073]

[0074] Where, x n It is the horizontal value from the target source detected by the nth receiving sensor to the nth receiving sensor, y n It is the depth value from the target source to the nth receiving sensor, z n v is the vertical height from the target source to the nth receiving sensor. i It is the propagation speed of the signal wave, t n t0 is the time it takes for the signal wave to travel from the target source to the nth receiving sensor, x0, y0, and z0 are the spatial coordinates of the disaster area, and t0 is the time it takes for the signal wave to travel from the disaster area to the nth receiving sensor.

[0075] Where n = 1, 2, 3, 4, S1(x 1, y1,z1,t1), S2(x 2, y2,z2,t2), S3(x 3, y3,z3,t3) and S4(x 4,Let y4, z4, and t4 be the monitoring data corresponding to the first through fourth receiving sensors, respectively. The above formula contains four unknowns: x0, y0, z0, and t0, which represent the spatial coordinates of the disaster area and the propagation time data to be solved. Substituting the monitoring data from the four receiving sensors into the formula, x0, y0, z0, and t0 can be obtained.

[0076] In one embodiment of this application, determining the disaster type of a disaster area includes: preliminarily determining the disaster type of the disaster area based on the monitoring data collected by each group of sensors; and determining the disaster type of the disaster area by comparing the disaster types corresponding to each group of sensors.

[0077] Specifically, as described in step S103 above, CT inversion based on data collected by a set of sensors can initially determine whether the disaster type in the disaster area is flood or stress concentration disaster. In this embodiment, the disaster type of the disaster area is further determined by the cooperation and mutual verification of each pair of sensors. For example, by comparing the disaster types inferred from the data collected by each set of sensors, if the disaster types are consistent, the disaster type of the disaster area is finally determined to be the initially inferred disaster type; if the disaster types are inconsistent, monitoring is repeated.

[0078] Furthermore, if multiple disaster areas are preliminarily identified in step S103, then step S104 is repeated to conduct joint monitoring of each disaster area in sequence until each disaster area has been monitored. After that, mining continues for 100m in the roadway, and steps S101 to S104 are executed again.

[0079] In summary, the coal mine underground area detection method based on simultaneous detection at multiple measuring points in this application embodiment utilizes a combination of sensors to jointly monitor and verify at multiple measuring points. Through mutual cooperation and verification among these sensors, unknown areas around the roadway are detected. Each sensor group can roughly estimate the presence of potential hazards in the unknown area. Once a hazard is identified, various sensors are redeployed to target the hazardous area. By employing the arrangement of the sensors and the joint monitoring and verification algorithm, joint monitoring and verification among the sensor groups can be achieved, determining the specific hazard type and precise spatial coordinates. Furthermore, the sensors used in this method are compact and lightweight, the data collection and analysis device is easy to operate, and the inversion calculation process is relatively convenient, reducing the complexity of the monitoring process. This method provides significant assistance for safe underground mining by conducting area detection. It enables timely adjustments, avoidance, and protection measures for hazardous areas in unknown regions based on monitoring results, ensuring the safety of underground workers by anticipating potential hazards around the mine walls. Therefore, this method improves the accuracy of underground area detection and the safety of underground operations.

[0080] To implement the above embodiments, this application also proposes a non-transitory computer-readable storage medium storing a computer program, which, when executed by a processor, implements the coal mine underground area detection method based on simultaneous detection of multiple measuring points as described in any one of the second aspects of the embodiments above.

[0081] It should be noted that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0082] Furthermore, in the description of this application, the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limiting the present invention.

[0083] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0084] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components, unless otherwise explicitly limited. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0085] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0086] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this invention.

Claims

1. A coal mine underground area detection system based on simultaneous detection at multiple measuring points, characterized in that, include: Multiple sets of sensors and data collection and analysis devices; among them, Each sensor group includes a transmitting sensor and a receiving sensor, each sensor group being used to transmit and receive signal waves for computed tomography (CT) inversion; Each of the transmitting sensors and each of the receiving sensors are respectively arranged in the borehole of the area to be detected in the underground roadway, and are connected to the data collection and analysis device through connecting lines; The data collection and analysis device is used to perform CT inversion on the signal waves initially received by each of the receiving sensors, to preliminarily determine whether there are disaster areas in various directions around the area to be detected, and to perform collaborative analysis and calculation based on the signal waves re-received by each of the receiving sensors after adjusting their positions, to determine the disaster type and spatial coordinates of the disaster area.

2. The system according to claim 1, characterized in that, The data collection and analysis device includes: The device has multiple transmit interfaces and multiple receive interfaces. Each transmit interface is connected to a corresponding transmit sensor via a connecting cable, and each receive interface is connected to a corresponding receive sensor via a connecting cable.

3. The system according to claim 1, characterized in that, The data collection and analysis device further includes: A switch, used to control the opening and closing of the area detection system; Data interface, used to export probe data; The knob is used to adjust the detection parameters of the multiple sets of sensors.

4. A method for underground coal mine area detection based on simultaneous detection at multiple measuring points, characterized in that, The method, applied to the coal mine underground area detection system based on simultaneous detection at multiple measuring points as described in any one of claims 1-3, comprises the following steps: Multiple pairs of boreholes are drilled in various directions around the area to be detected in the underground roadway, and multiple sets of sensors are arranged in the boreholes accordingly. Each set of sensors emits signal waves to the corresponding direction to detect the area to be detected, and the data collection and analysis device obtains the monitoring data corresponding to the signal waves received by each receiving sensor. The data collection and analysis device performs CT inversion on the monitoring data collected by each group of sensors to preliminarily determine whether there are disaster areas in various directions around the area to be detected. For the disaster area, new boreholes are drilled and the positions of each sensor are adjusted. The data collection and analysis device performs collaborative analysis and calculation on the signal waves re-received by each receiving sensor after the position adjustment to determine the disaster type and spatial coordinates of the disaster area.

5. The method according to claim 4, characterized in that, The method of drilling multiple pairs of boreholes in various directions around the area to be explored in the underground roadway includes: A pair of holes are drilled at the top plate, two side walls, and bottom plate of any section of the area to be detected.

6. The method according to claim 4, characterized in that, The preliminary determination of whether there are disaster areas in various directions around the area to be detected includes: Determine the wave velocity and wave velocity distribution uniformity of the signal waves emitted by each transmitting sensor during the propagation process; The presence of water-damaged areas is determined based on the wave velocity, and the presence of stress concentration areas is determined based on the uniformity of the wave velocity distribution.

7. The method according to claim 4, characterized in that, The re-drilling of boreholes in the disaster area includes: Keeping the corresponding boreholes in the disaster area unchanged, multiple additional boreholes are added at preset intervals in the disaster area. The additional boreholes are used to arrange the sensors in the non-disaster area.

8. The method according to claim 4, characterized in that, The spatial coordinates of the disaster area are calculated using the following formula: Where, x n It is the horizontal value from the target source detected by the nth receiving sensor to the nth receiving sensor, y n It is the depth value from the target source to the receiving sensor, z n v is the vertical height from the target source to the receiving sensor. i It is the propagation speed of the signal wave, t n t0 is the time it takes for the signal wave to travel from the target source to the receiving sensor, x0, y0 and z0 are the spatial coordinates of the disaster area, and t0 is the time it takes for the signal wave to travel from the disaster area to the receiving sensor.

9. The method according to claim 6, characterized in that, Determining the disaster type of the disaster area includes: Based on the monitoring data collected by each set of sensors, the type of disaster in the disaster area is preliminarily determined; The disaster type of the disaster area is determined by comparing the disaster types corresponding to each group of sensors.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the coal mine underground area detection method based on simultaneous detection of multiple measuring points as described in any one of claims 4-9.

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