Mine underground water-containing body detection method and system based on muon imaging

Abstract

The invention relates to the technical field of geological exploration and mine safety mining, in particular to a mine underground water-containing body detection method and system based on muon imaging, and the method comprises the steps: obtaining a background value of a work area muon flux based on a plurality of deployed muon detectors, and measuring and collecting data of the work area muon flux, the data comprises quantity change and deflection angle information of muons before and after passing through the substance; performing corresponding processing on the data to obtain data meeting certain conditions; and comparing the data meeting a certain condition with the background value to obtain a comparison result, and generating an evaluation result of the water-containing body according to the comparison result. Therefore, the problems of high detection cost, low detection precision, large environmental damage, low detection efficiency and the like of the mine water-containing body in related technologies are solved.

Description

Technical Field

[0001] The present application relates to the technical field of geological exploration and safe mining, and in particular to a method and system for detecting water-containing bodies in underground mines based on muon imaging. Background Art

[0002] During the mining process, clarifying the geological conditions and hydrological characteristics, especially detecting underground water bodies, is an important part of ensuring safe mine production.

[0003] In the related technologies, water bodies in mines can be detected through transient electromagnetic method, seismic method, resistivity method, etc. Among them, the transient electromagnetic method uses a pulse of electromagnetic waves to emit and propagate electromagnetic waves to the formation. After the transmitting source is instantly powered off, during the interval of a pulse electromagnetic field, a receiving coil is used to receive the eddy current field formed by secondary induction, thereby revealing the geological structure and rock properties of the unknown area ahead; the seismic method infers the lithology, structure and water content of the formation by analyzing the changes in parameters such as the propagation speed, amplitude, and frequency of seismic waves in the formation; and the resistivity method mainly uses the electrical differences between the lithology and the water-richness of the rock formation, and then reveals the existence of water bodies by analyzing the abnormal field.

[0004] However, related technologies usually require a lot of drilling and geophysical exploration work, and the detection cost is high. Under complex geological conditions, especially in hidden areas such as faults and fissures, the detection accuracy is limited, and a long detection cycle is often required, which makes it difficult to meet the needs of rapid mining. In addition, a large number of drilling and blasting operations cause damage to the mining environment, which is not conducive to ecological protection and sustainable development, and urgently needs improvement. Summary of the invention

[0005] The present application provides a method and system for detecting water bodies in underground mines based on muon imaging, so as to solve the problems in related technologies such as high cost, low detection accuracy, great environmental damage and low detection efficiency of water bodies in mines.

[0006] The first aspect of the present application provides a method for detecting water bodies in underground mines based on muon imaging, the method comprising the following steps: based on a plurality of deployed muon detectors, obtaining the background value of the muon flux in the work area, and measuring and collecting the data of the muon flux in the work area, wherein the data includes the quantity change and deflection angle information of the muons before and after they pass through the material; performing corresponding processing on the data to obtain data that meets preset conditions; comparing the data that meets the preset conditions with the background value to obtain a comparison result, and generating an evaluation result of the water body based on the comparison result.

[0007] Optionally, in an embodiment of the present application, it also includes: generating corresponding water hazard prevention and control measures according to the evaluation results; and / or generating corresponding early warning signals according to the evaluation results.

[0008] Optionally, in one embodiment of the present application, the data is processed accordingly to obtain data that meets preset conditions, including: based on the physical relationship between muon flux and material density, the data is converted to obtain density length information; and a three-dimensional density length distribution map of the observed geological body is constructed according to the density length information.

[0009] Optionally, in one embodiment of the present application, comparing the data satisfying the preset conditions with the background value to obtain a comparison result includes: extracting at least one image feature of the water body of the comparison result based on the background value and the three-dimensional density length distribution map.

[0010] The second aspect of the present application provides a mine underground water body detection system based on muon imaging, the system comprising: a plurality of muon detectors and a muon source device; an acquisition module, for acquiring the background value of the muon flux in the work area based on the plurality of muon detectors, and measuring and collecting the data of the muon flux in the work area, wherein the data includes the quantity change and deflection angle information of the muons before and after passing through the material; a processing module, for performing corresponding processing on the data to obtain data that meets preset conditions; a detection module, for comparing the data that meets the preset conditions with the background value to obtain a comparison result, and generating an evaluation result of the water body according to the comparison result.

[0011] Optionally, in one embodiment of the present application, it also includes: an early warning module, which is used to generate corresponding water hazard prevention and control measures according to the evaluation results, and / or generate a corresponding early warning signal according to the evaluation results.

[0012] Optionally, in one embodiment of the present application, the processing module includes: a conversion unit, used to convert the data based on the physical relationship between muon flux and material density to obtain density length information; a construction unit, used to construct a three-dimensional density length distribution map of the observed geological body according to the density length information.

[0013] Optionally, in one embodiment of the present application, the detection module includes: an extraction unit, configured to extract an image feature of at least one water-containing body of the comparison result based on the background value and the three-dimensional density length distribution map.

[0014] The third aspect of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for detecting water bodies in underground mines based on muon imaging as described in the above embodiment.

[0015] The fourth aspect of the present application provides a computer-readable storage medium, which stores a computer program. When the program is executed by a processor, it implements the above-mentioned method for detecting water bodies in underground mines based on muon imaging.

[0016] The fifth aspect of the present application provides a computer program product, which includes a computer program. When the computer program is executed, it implements the above-mentioned method for detecting water bodies in underground mines based on muon imaging.

[0017] The embodiment of the present application can process the data of muon flux in the work area obtained by multiple muon detectors accordingly, obtain data that meets certain conditions, and compare the data with the background value of muon flux in the work area, thereby generating an assessment result of the water-containing body. Through the high penetration of muons, non-destructive imaging of rocks of hundreds or even thousands of meters is achieved, which not only reduces the damage to the environment, but also greatly reduces the detection cost, reduces the workload of drilling and geophysical exploration, significantly shortens the detection cycle, and meets the needs of rapid mining. At the same time, the high-precision characteristics of muon imaging ensure the accuracy of the detection results, and can accurately delineate the location and shape of the water-containing body even under complex geological conditions, providing reliable geological information for mining, which has important practical significance and broad application prospects. As a result, the technical problems of high cost, low detection accuracy, large environmental damage, and low detection efficiency in the relevant technology are solved.

[0018] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0020] Figure 1 A flow chart of a method for detecting water-containing bodies in underground mines based on muon imaging according to an embodiment of the present application;

[0021] Figure 2 A block diagram of a mine underground water-containing body detection system based on muon imaging according to an embodiment of the present application;

[0022] Figure 3 A block diagram of a mine underground water-containing body detection system based on muon imaging according to another embodiment of the present application;

[0023] Figure 4 It is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0024] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0025] The following describes the method and system for detecting water-containing bodies in underground mines based on muon imaging according to the embodiment of the present application with reference to the accompanying drawings. In view of the problems of high cost, low detection accuracy, great environmental damage and low detection efficiency of water-containing bodies in mines mentioned in the above background technology, the present application provides a method for detecting water-containing bodies in underground mines based on muon imaging. In the method, the data of muon flux in the working area obtained by multiple muon detectors can be processed accordingly to obtain data that meets certain conditions, and the data can be compared with the background value of the muon flux in the working area obtained, thereby generating an evaluation result of the water-containing body. Through the high penetration of muons, non-destructive imaging of hundreds of meters or even thousands of meters of rocks is achieved, which not only reduces the damage to the environment, but also greatly reduces the detection cost, reduces the workload of drilling and geophysical exploration, significantly shortens the detection cycle, and meets the needs of rapid mining in mines. At the same time, the high-precision characteristics of muon imaging ensure the accuracy of the detection results, and the location and shape of the water-containing body can be accurately delineated even under complex geological conditions, providing reliable geological information for mining, which has important practical significance and broad application prospects. As a result, technical problems in related technologies such as high cost of mine water body detection, low detection accuracy, great environmental damage and low detection efficiency have been solved.

[0026] Specifically, Figure 1 The present invention is a flowchart of a method for detecting water bodies in underground mines based on muon imaging according to an embodiment of the present application.

[0027] like Figure 1 As shown, the method for detecting water-bearing bodies in underground mines based on muon imaging includes the following steps:

[0028] In step S101, based on the deployed multiple muon detectors, the background value of the muon flux in the working area is obtained, and the data of the muon flux in the working area is measured and collected, wherein the data includes the quantity change and deflection angle information of the muons before and after passing through the matter.

[0029] It can be understood that the muon detector in the embodiment of the present application is an instrument facility specifically used to detect muons (μons), which can reflect the density and structural information of the geological body by real-time detection of the muon observation flux of multi-angle cosmic rays passing through the observed geological body.

[0030] In addition, in the embodiments of the present application, the muon flux can be understood as the number or intensity of muons in multi-angle cosmic rays passing through the observed geological body, which is measured in real time by a muon detector.

[0031] In some embodiments, the embodiments of the present application may deploy multiple muon detectors according to actual conditions. The muon detectors may be set by a person skilled in the art according to actual conditions, and the present application does not impose any specific restrictions.

[0032] Illustratively, the embodiments of the present application can select a detection area underground in a mine, and according to the detection requirements and geological conditions, rationally deploy multiple muon detectors. These muon detectors can surround or penetrate into the surroundings or interior of the observed geological body to form a detection array, ensuring smooth communication between the multiple muon detectors so as to transmit the detection data in real time.

[0033] In some embodiments, the present invention can measure the background value of the muon flux in the work area.

[0034] Exemplarily, the embodiments of the present application can measure the background value of the muon flux in the work area at the ground directly above the detection area in the mine.

[0035] In some embodiments, the embodiments of the present application can measure and collect data on the muon flux in the work area, where the data may include but is not limited to the change in the number of muons before and after they pass through matter and the deflection angle information, etc., and the present application does not impose specific limitations.

[0036] Exemplarily, the embodiments of the present application can activate a muon detector to detect in real time the muon flux of multi-angle cosmic rays passing through the observed geological body, and transmit the collected muon flux data to a data processing center via wireless or wired means.

[0037] In step S102, the data is processed accordingly to obtain data that meets preset conditions.

[0038] As a possible implementation method, the embodiment of the present application can process the data accordingly to obtain data that meets certain conditions. Among them, the certain conditions can be set by technicians in this field according to actual conditions, and this application does not make specific restrictions.

[0039] In addition, it should be noted that the corresponding processing of the embodiments of the present application may include but is not limited to processing, processing, and conversion of data, and the present application does not impose any specific restrictions.

[0040] Optionally, in one embodiment of the present application, the data is processed accordingly to obtain data that meets preset conditions, including: based on the physical relationship between muon flux and material density, the data is converted to obtain density length information; and a three-dimensional density length distribution map of the observed geological body is constructed based on the density length information.

[0041] In the actual implementation process, the embodiment of the present application processes the data accordingly, which can be understood as converting the received muon flux data into density length information. In the embodiment of the present application, the conversion process is based on the physical relationship between the muon flux and the material density, and the conversion is performed through a mathematical model to obtain the density length information.

[0042] Furthermore, the embodiment of the present application utilizes density-length information to construct a three-dimensional density-length distribution map of the observed geological body.

[0043] In step S103, the data satisfying the preset conditions are compared with the background value to obtain a comparison result, and an assessment result of the water body is generated based on the comparison result, and corresponding water hazard prevention and control measures are generated based on the assessment result; and / or, a corresponding early warning signal is generated based on the assessment result.

[0044] It can be understood that the water hazard prevention and control measures in the embodiments of the present application can be drainage, grouting reinforcement, etc., and can also be measures to ensure safety during mining, etc., which can be specifically set by technicians in this field according to actual conditions, and this application does not impose specific restrictions.

[0045] In addition, it should be noted that the water-containing body in the embodiment of the present application can be understood as a low-density area or an abnormal area with a specific shape on the density length distribution diagram.

[0046] In some embodiments, the embodiments of the present application can compare and analyze data that meets certain conditions with background values, obtain comparison results, find and evaluate water bodies, and generate corresponding evaluation results.

[0047] The evaluation results can be output in the form of images, reports, etc. for reference by decision-makers and technical personnel of mining enterprises.

[0048] Furthermore, in some embodiments, the embodiments of the present application can formulate corresponding water hazard prevention and control measures according to the evaluation results, such as drainage, grouting reinforcement, etc., to ensure safety during mining.

[0049] Furthermore, in some embodiments, the embodiments of the present application may generate a corresponding warning signal based on the evaluation results.

[0050] Furthermore, in some embodiments, the embodiments of the present application can formulate corresponding water hazard prevention and control measures according to the evaluation results and generate corresponding early warning signals.

[0051] Optionally, in one embodiment of the present application, data satisfying preset conditions are compared with background values ​​to obtain a comparison result, including: extracting at least one water-containing image feature of the comparison result based on the background value and the three-dimensional density length distribution map.

[0052] As a possible implementation method, the comparison result of the embodiment of the present application is based on the background value and the three-dimensional density length distribution map, and further image processing and analysis are performed to extract at least one image feature of the water body.

[0053] Furthermore, the embodiments of the present application analyze the dynamic changes of water bodies by comparing the detection results at different time points and evaluate their potential impact on mining.

[0054] Combine the following Figure 2 As shown, a specific embodiment is used to explain the method for detecting water-containing bodies in underground mines based on muon imaging proposed in the embodiment of the present application.

[0055] Specifically, Figure 2 The present invention is a block diagram of a system for detecting underground water bodies in a mine based on muon imaging according to one embodiment of the present application.

[0056] like Figure 2 As shown, the underground mine water-containing body detection system 20 based on muon imaging includes: a muon source device 201, a muon detector array 202, a data transmission module 203, a data processing module 204 and a monitoring and early warning module 205.

[0057] Among them, the muon source device 201 is used to generate polarized muons, which will be used for subsequent imaging detection.

[0058] Among them, in the embodiment of the present application, the muon source device 201 can use electric fields and magnetic fields to accelerate hydrogen nuclei to high energy, and then collide with specific "target" materials (such as aluminum foil) to produce particles such as K and π, and collect muons produced when these particles decay through magnetic fields to form a stable accelerator muon source.

[0059] The muon detector array 202 is used to record the quantity change and deflection angle information of muons before and after they pass through matter.

[0060] In the embodiment of the present application, the muon detector array 202 is cylindrically designed to meet the needs of small-diameter drilling in underground mines. A high-precision muon counter is arranged inside the detector, and the detectors are connected by data transmission lines to ensure that the data is transmitted to the ground monitoring center in real time.

[0061] The data transmission module 203 is used to transmit the data collected by the detector to the ground monitoring center in real time.

[0062] In the embodiment of the present application, the data transmission module 203 may use a high-speed and stable data transmission device to ensure the security and anti-interference capability during the data transmission process.

[0063] The data processing module 204 is used to process and analyze the received muon data and generate water body distribution images and reports.

[0064] Among them, in the embodiment of the present application, the data processing module 204 is a data processing software with functions such as data cleaning, denoising, and imaging algorithm.

[0065] The monitoring and early warning module 205 is used to monitor the water-bearing bodies in the mine in real time, dynamically display the distribution and change trend of the water-bearing bodies, and intelligently issue early warning signals.

[0066] In the embodiment of the present application, the monitoring and early warning module 205 can automatically send out an early warning signal when abnormal changes in the water body are detected or a certain threshold is reached, reminding the management personnel to take corresponding measures. The certain threshold can be set by technicians in this field according to actual conditions, and this application does not make any specific restrictions.

[0067] According to the method for detecting water-bearing bodies in underground mines based on muon imaging proposed in the embodiment of the present application, the data of muon flux in the working area obtained by multiple muon detectors can be processed accordingly to obtain data that meets certain conditions, and the data can be compared with the background value of the muon flux in the working area obtained, thereby generating an evaluation result of the water-bearing body. Through the high penetration of muons, non-destructive imaging of rocks of hundreds or even thousands of meters is achieved, which not only reduces the damage to the environment, but also greatly reduces the detection cost, reduces the workload of drilling and geophysical exploration, significantly shortens the detection cycle, and meets the needs of rapid mining in mines. At the same time, the high-precision characteristics of muon imaging ensure the accuracy of the detection results, and can accurately delineate the location and shape of water-bearing bodies even under complex geological conditions, providing reliable geological information for mining, which has important practical significance and broad application prospects. As a result, the technical problems of high cost, low detection accuracy, large environmental damage, and low detection efficiency in the relevant technology are solved.

[0068] Next, a mine underground water body detection system based on muon imaging proposed in accordance with an embodiment of the present application will be described with reference to the accompanying drawings.

[0069] Figure 3 A schematic block diagram of a system for detecting underground water bodies in a mine based on muon imaging according to another embodiment of the present application.

[0070] like Figure 3 As shown, the underground mine water-containing body detection system 30 based on muon imaging includes: multiple muon detectors (muon detector 301, muon detector 302,..., muon detector 30n), a muon source device 400, an acquisition module 500, a processing module 600 and a detection module 700.

[0071] Among them, there are multiple muon detectors and muon source devices 400.

[0072] The acquisition module 500 is used to acquire the background value of the muon flux in the work area based on multiple muon detectors, and measure and collect data of the muon flux in the work area, wherein the data includes the quantity change and deflection angle information of the muons before and after passing through the matter.

[0073] The processing module 600 is used to process the data accordingly to obtain data that meets preset conditions.

[0074] The detection module 700 is used to compare the data satisfying the preset conditions with the background value to obtain a comparison result, and generate an assessment result of the water body according to the comparison result.

[0075] Optionally, in one embodiment of the present application, it also includes: an early warning module.

[0076] Among them, the early warning module is used to generate corresponding water hazard prevention and control measures according to the evaluation results, and / or generate corresponding early warning signals according to the evaluation results.

[0077] Optionally, in one embodiment of the present application, the processing module 600 includes: a conversion unit and a construction unit.

[0078] Among them, the conversion unit is used to convert the data based on the physical relationship between the muon flux and the matter density to obtain the density length information.

[0079] The construction unit is used to construct a three-dimensional density-length distribution map of the observed geological body according to the density-length information.

[0080] Optionally, in one embodiment of the present application, the detection module 700 includes: an extraction unit.

[0081] The extraction unit is used to extract at least one image feature of a water body of the comparison result based on the background value and the three-dimensional density length distribution map.

[0082] It should be noted that the above explanation of the embodiment of the underground mine water body detection method based on muon imaging is also applicable to the underground mine water body detection system based on muon imaging in this embodiment, and will not be repeated here.

[0083] According to the underground water-containing body detection system for mines based on muon imaging proposed in the embodiment of the present application, the data of muon flux in the work area obtained by multiple muon detectors can be processed accordingly to obtain data that meets certain conditions, and the data can be compared with the background value of the muon flux in the work area obtained, thereby generating an evaluation result of the water-containing body. Through the high penetration of muons, non-destructive imaging of hundreds of meters or even thousands of meters of rocks is achieved, which not only reduces the damage to the environment, but also greatly reduces the detection cost, reduces the workload of drilling and geophysical exploration, significantly shortens the detection cycle, and meets the needs of rapid mining in mines. At the same time, the high-precision characteristics of muon imaging ensure the accuracy of the detection results, and can accurately delineate the location and shape of water-containing bodies even under complex geological conditions, providing reliable geological information for mining, which has important practical significance and broad application prospects. As a result, the technical problems of high cost, low detection accuracy, large environmental damage, and low detection efficiency in the related technology are solved.

[0084] Figure 4 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present application. The electronic device may include:

[0085] Memory 401 , processor 402 , and a computer program stored in the memory 401 and executable on the processor 402 .

[0086] When the processor 402 executes the program, the method for detecting water-containing bodies in underground mines based on muon imaging provided in the above-mentioned embodiment is implemented.

[0087] Furthermore, the electronic device further comprises:

[0088] The communication interface 403 is used for communication between the memory 401 and the processor 402 .

[0089] The memory 401 is used to store computer programs that can be executed on the processor 402 .

[0090] The memory 401 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0091] If the memory 401, the processor 402 and the communication interface 403 are implemented independently, the communication interface 403, the memory 401 and the processor 402 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0092] Optionally, in a specific implementation, if the memory 401, the processor 402 and the communication interface 403 are integrated on a chip, the memory 401, the processor 402 and the communication interface 403 can communicate with each other through an internal interface.

[0093] The processor 402 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0094] An embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned method for detecting water bodies in underground mines based on muon imaging is implemented.

[0095] An embodiment of the present application also provides a computer program product, which includes a computer program. When the computer program is executed, it implements the above-mentioned method for detecting water bodies in underground mines based on muon imaging.

[0096] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0097] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0098] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0099] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary and then storing it in a computer memory.

[0100] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented by hardware, as in another embodiment, it can be implemented by any one or a combination of multiple of the following technologies known in the art: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0101] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0102] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0103] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for detecting water-containing bodies in underground mines based on muon imaging, characterized in that: The following steps are involved: Based on the multiple muon detectors deployed, the background value of the muon flux in the work area is obtained, and the data of the muon flux in the work area is measured and collected, wherein the data includes the quantity change and deflection angle information of the muons before and after they pass through the matter; Processing the data accordingly to obtain data that meets preset conditions; The data satisfying the preset conditions are compared with the background value to obtain a comparison result, and an assessment result of the water body is generated according to the comparison result.

2. The method according to claim 1, characterized in that: Also includes generating corresponding water hazard prevention and control measures according to the assessment results; And / or, generating a corresponding warning signal according to the evaluation result.

3. The method according to claim 1, characterized in that The corresponding processing of the data to obtain data satisfying a preset condition includes: Based on the physical relationship between muon flux and matter density, the data is converted to obtain density length information; A three-dimensional density-length distribution map of the observed geological body is constructed according to the density-length information.

4. The method according to claim 3, characterized in that The comparing the data satisfying the preset condition with the background value to obtain a comparison result includes: Based on the background value and the three-dimensional density length distribution map, at least one image feature of the water body of the comparison result is extracted.

5. A mine underground water body detection system based on muon imaging, characterized in that: include: Multiple muon detectors and muon source devices; An acquisition module, used to acquire the background value of the muon flux in the working area based on the multiple muon detectors, and measure and collect data of the muon flux in the working area, wherein the data includes the quantity change and deflection angle information of the muons before and after they pass through the material; A processing module, used to process the data accordingly to obtain data that meets preset conditions; The detection module is used to compare the data satisfying the preset conditions with the background value to obtain a comparison result, and generate an assessment result of the water body according to the comparison result.

6. The system according to claim 5, characterized in that Also includes: The early warning module is used to generate corresponding water hazard prevention and control measures according to the evaluation results, and / or generate corresponding early warning signals according to the evaluation results.

7. The system according to claim 5, characterized in that The processing module comprises: A conversion unit, used for converting the data based on the physical relationship between the muon flux and the material density to obtain density length information; A construction unit is used to construct a three-dimensional density-length distribution map of the observed geological body according to the density-length information.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for detecting water-containing bodies in underground mines based on muon imaging as described in any one of claims 1 to 4.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the method for detecting water-containing bodies in underground mines based on muon imaging as described in any one of claims 1 to 4.

10. A computer program product, comprising a computer program, characterized in that The computer program is executed to implement the method for detecting water-containing bodies in underground mines based on muon imaging as described in any one of claims 1 to 4.

Images