Integrated micro-seismic monitoring method and device

Abstract

The invention provides an integrated micro-seismic monitoring method and device. The method comprises the steps that unmanned operation equipment is controlled to execute a mobile operation task in a tunnel in a wireless communication mode; under the condition that the unmanned operation equipment arrives at the target position, ultra-remote installation is carried out on micro-seismic monitoring equipment through the unmanned operation equipment; the rockburst hole section of the tunnel is remotely monitored based on the installed micro-seismic monitoring equipment, and the problem that when rockburst occurs, strong seismic waves, flying rocks and local structure damage bring great threats to tunnel construction safety is solved.

Description

Technical Field

[0001] The present invention belongs to the field of computer technology, and particularly relates to an integrated microseismic monitoring method and device. Background Art

[0002] Tunnel rockburst early warning is a technology for predicting and warning in advance against possible rockbursts (i.e., rocks suddenly release huge energy due to stress concentration or other factors, resulting in rock mass rupture and violent vibration) in underground engineering. The occurrence of rockbursts is often accompanied by strong seismic waves, flying rocks, and local structural damage, posing a great threat to the safety of tunnel construction.

[0003] The layout of traditional microseismic monitoring equipment usually relies on manual work, with a long cycle and low efficiency. Summary of the Invention

[0004] Embodiments of the present invention provide an integrated microseismic monitoring method and device, which can solve the problem that the strong seismic waves, flying rocks, and local structural damage accompanied by rockbursts pose a great threat to the safety of tunnel construction.

[0005] The first aspect of the embodiments of the present invention provides an integrated microseismic monitoring method, including: Controlling an unmanned operation device to perform a mobile operation task in a tunnel by using a wireless communication method; When the unmanned operation device reaches a target position, remotely installing a microseismic monitoring device through the unmanned operation device; Remotely monitoring a rockburst section of the tunnel based on the installed microseismic monitoring device.

[0006] Optionally, obtaining suspended dust density information of the working environment where the unmanned operation device is located in a non-line-of-sight communication scenario; When the suspended dust density information indicates that the suspended dust density of the working environment where the unmanned operation device is located is greater than a preset density, switching the wireless positioning method for the unmanned operation device to a wheel speedometer dust amount data fusion wireless positioning method, where the wheel speedometer dust amount data fusion wireless positioning method is a positioning method for correcting the wheel speedometer based on the suspended dust amount collected when the device moves.

[0007] Optionally, the unmanned operation device includes a semi-closed fixed-volume suspended dust collection space, and the opening of the suspended dust collection space faces the advancing direction of the unmanned operation device.

[0008] Optionally, the wheel speedometer dust amount data fusion wireless positioning method includes: Obtaining dust amount data and first mileage data obtained based on a wheel speedometer; Calculate a second mileage data based on the dust amount data and the suspended dust density information; Optimize the first mileage data according to the second mileage data.

[0009] Optionally, the calculating the second mileage data based on the dust amount data and the suspended dust density information includes: Calculate the second mileage data based on the volume of the suspended dust collection space, the opening area, the dust amount data and the suspended dust density information.

[0010] Optionally, it further includes: Obtain the moving speed information of the unmanned operation device; When the moving speed information indicates that the moving speed of the unmanned operation device is greater than a preset speed and the suspended dust density information indicates that the suspended dust density in the operation environment where the unmanned operation device is located is greater than a preset density, switch the wireless positioning method of the unmanned operation device to a wheel speed meter-dust amount data fusion wireless positioning method.

[0011] Optionally, it further includes: Establish a dust mileage theoretical model; Obtain dust mileage sample data, where the dust mileage sample data includes associated marker data of dust amount samples and mileage samples under different dust density sample conditions; Train the dust mileage theoretical model based on the dust mileage sample data to obtain a dust mileage optimization model.

[0012] Optionally, it further includes: The calculating the second mileage data based on the dust amount data and the suspended dust density information includes: Calculate the second mileage data based on the dust amount data and the suspended dust density information through the dust mileage optimization model.

[0013] A second aspect of the embodiments of the present invention provides an integrated microseismic monitoring device, including: A mobile control unit, configured to control an unmanned operation device to perform a mobile operation task in a tunnel by using a wireless communication method; An installation unit, configured to perform ultra-remote installation of a microseismic monitoring device through the unmanned operation device when the unmanned operation device reaches a target position; A monitoring unit, configured to remotely monitor a rock burst section of the tunnel based on the installed microseismic monitoring device.

[0014] In a third aspect of the embodiments of the present invention, an electronic system is provided, including a memory and a processor. When the processor executes a computer program stored in the memory, the above-mentioned integrated microseismic monitoring method is implemented.

[0015] In a fourth aspect of the embodiments of the present invention, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned integrated microseismic monitoring method is implemented.

[0016] In summary, for the integrated microseismic monitoring method provided by the embodiments of the present invention, an unmanned operation device is controlled to perform a mobile operation task in a tunnel by using a wireless communication method; when the unmanned operation device reaches a target position, a microseismic monitoring device is ultra-remotely installed by the unmanned operation device; and the rock burst section of the tunnel is remotely monitored based on the installed microseismic monitoring device. Thus, the traditional layout of microseismic monitoring devices usually relies on manual work, which has a long cycle and low efficiency. However, the unmanned device can complete the device layout in a relatively short time, especially in complex environments (such as long tunnels, dangerous areas, etc.), improving the layout efficiency. Through precise positioning and automated operation, the unmanned device can ensure that the monitoring device is laid out more accurately, thereby improving the accuracy of the monitoring data. The unmanned device can perform tasks in high-risk areas, reducing the time for personnel to be exposed to dangerous environments. Especially in high-risk rock burst areas, the safety of the staff is guaranteed through the remote control of the unmanned operation device. Through microseismic monitoring, the occurrence of rock burst can be predicted by vibration wave signals before it occurs, providing early warnings for tunnel construction and helping to take timely preventive measures such as reinforcement and evacuation.

[0017] Correspondingly, the integrated microseismic monitoring device, electronic system, and computer-readable storage medium provided by the embodiments of the present invention also have the above-mentioned technical effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic flowchart of an integrated microseismic monitoring method provided by an embodiment of the present invention; Figure 2 It is a schematic structural block diagram of an integrated microseismic monitoring device provided by an embodiment of the present invention; Figure 3 It is a schematic hardware structure diagram of an integrated microseismic monitoring device provided by an embodiment of the present invention; Figure 4 It is a schematic structural block diagram of an electronic system provided by an embodiment of the present invention; Figure 5 It is a schematic structural block diagram of a computer-readable storage medium provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0020] An embodiment of the present invention provides an integrated microseismic monitoring method and device, which can solve the problem that the occurrence of rock bursts poses a great threat to the safety of tunnel construction due to strong seismic waves, flying rocks, and local structural damage.

[0021] Please refer to Figure 1 , which is a flowchart of an integrated microseismic monitoring method provided by an embodiment of the present invention, and specifically may include: S110 - S130.

[0022] S110, use wireless communication to control an unmanned operation device to perform a mobile operation task in a tunnel.

[0023] S120, when the unmanned operation device reaches the target position, remotely install a microseismic monitoring device through the unmanned operation device.

[0024] S130, remotely monitor the rock burst section of the tunnel based on the installed microseismic monitoring device.

[0025] It can be understood that the core of this method is to use wireless communication to achieve remote control of the unmanned operation device. Wireless communication can ensure unobstructed information transmission between the device and the monitoring center, and can maintain good signal stability in enclosed environments such as tunnels. Unmanned operation devices (such as unmanned vehicles, drones, etc.) can autonomously perform tasks in the tunnel and usually have functions such as navigation, obstacle avoidance, and positioning. Through the autonomy of these devices, the monitoring efficiency can be greatly improved and the risk of manual operation can be reduced. When the unmanned operation device reaches the target position, it can achieve ultra-remote installation of the microseismic monitoring device. The microseismic monitoring device refers to a sensor used to detect the vibration of rock masses in the tunnel. It usually has high sensitivity and high sampling frequency, and can capture tiny rock mass deformations and stress waves. In complex underground tunnels, manually installing microseismic sensors often faces difficulties and high risks in operation, while the introduction of unmanned devices can overcome these limitations. Through wireless control instructions, unmanned devices can accurately complete the installation task and ensure the correct layout of the microseismic monitoring device. After the microseismic monitoring device is installed, it can continuously monitor the microseismic signals related to rock bursts in the tunnel. By transmitting data to the control center in real time, operators can continuously track the risk of rock burst occurrence. When a rock burst occurs in the tunnel, the rock mass will release a large amount of energy, generating vibrations and stress waves, which can be detected by the microseismic monitoring device. Microseismic signals usually appear as vibration signals with a relatively high frequency and a relatively small amplitude, and can be captured and transmitted to the monitoring system at the initial stage of the rock burst.

[0026] Exemplarily, unmanned operation equipment suitable for the tunnel environment can be selected, such as an autonomous navigation unmanned vehicle, which can drive autonomously in the tunnel and avoid obstacles. In addition, the equipment also needs to be equipped with a powerful communication module to enable wireless data transmission with the outside world in the tunnel. Through the wireless communication system, the operator sets the operation tasks of the unmanned equipment, including path planning, target location, and operation time. Microseismic monitoring equipment (such as acceleration sensors, vibration sensors, etc.) is installed on the unmanned equipment, and the equipment can carry multiple sensors for synchronous layout to ensure coverage of key areas of the tunnel. When the unmanned operation equipment reaches the designated position, it automatically executes the installation task of the microseismic monitoring equipment. During the installation process, the equipment uses technologies such as precise positioning and robotic arms to ensure stable installation and accurate position of the monitoring equipment. After installation, the microseismic monitoring equipment starts to collect vibration signals in the tunnel in real time and transmits the data to the ground control center through wireless communication technology. The control center analyzes parameters such as the intensity and frequency of the microseismic signals in real time through professional monitoring software. Combining the characteristics of the microseismic signals, the possibility of rockburst occurrence is predicted in advance through set warning thresholds or machine learning-based algorithms. For example, if the vibration amplitude in a certain frequency band exceeds the set critical value, the system will issue an alarm to prompt the construction personnel to take corresponding preventive measures. When the system detects abnormal microseismic signals (such as possible precursors of rockburst), it will automatically trigger the alarm mechanism. According to the severity of the rockburst, the alarm system can be divided into multiple levels to provide early warnings for on-site workers, for personnel evacuation or adjustment of operation strategies. Through the remote control function, the staff can remotely operate the equipment to adjust the monitoring position or increase the monitoring frequency to ensure the accuracy of risk assessment.

[0027] In summary, the integrated microseismic monitoring method provided by the above embodiments controls an unmanned operation device to perform a mobile operation task in a tunnel by using a wireless communication method; when the unmanned operation device reaches the target position, the microseismic monitoring device is installed ultra-remotely by the unmanned operation device; and the rockburst section of the tunnel is remotely monitored based on the installed microseismic monitoring device. Thus, the layout of traditional microseismic monitoring equipment usually relies on manual completion, with a long cycle and low efficiency. The unmanned device can complete the equipment layout in a short time, especially in complex environments (such as long tunnels, dangerous areas, etc.), improving the layout efficiency. Through precise positioning and automated operation, the unmanned device can ensure more accurate layout of the monitoring equipment, thereby improving the accuracy of monitoring data. The unmanned device can perform tasks in high-risk areas, reducing the time for personnel to be exposed to dangerous environments. Especially in high-risk rockburst areas, the safety of the staff is guaranteed through the remote control of the unmanned operation device. Through microseismic monitoring, the occurrence of rockburst can be predicted by vibration wave signals before it occurs, providing early warnings for tunnel construction and helping to take preventive measures such as reinforcement and evacuation in a timely manner.

[0028] According to some embodiments, controlling an unmanned operation device to perform a mobile operation task in a tunnel by using a wireless communication method includes: Obtaining the suspended dust density information of the working environment where the unmanned operation device is located in a non-line-of-sight communication scenario; When the suspended dust density information indicates that the suspended dust density of the working environment where the unmanned operation device is located is greater than a preset density, switching the wireless positioning method for the unmanned operation device to a wheel speedometer dust amount data fusion wireless positioning method, where the wheel speedometer dust amount data fusion wireless positioning method is a positioning method that corrects the wheel speedometer based on the suspended dust amount collected when the device moves, so as to control the unmanned operation device to perform a mobile operation task in the tunnel.

[0029] It can be understood that in a scenario with a high suspended dust density, due to a large amount of signal refraction, it is difficult to implement general wireless positioning technologies. Then, a density of suspended dust can be preset. When the suspended dust density information indicates that the suspended dust density of the working environment where the unmanned operation device is located is greater than the preset density, switch the wireless positioning method for the unmanned operation device to a wheel speedometer dust amount data fusion wireless positioning method.

[0030] The wireless communication control method provided by the present invention obtains the suspended dust density information of the working environment where the unmanned operation device is located in a non-line-of-sight communication scenario; when the suspended dust density information indicates that the suspended dust density of the working environment where the unmanned operation device is located is greater than the preset density, switch the wireless positioning method for the unmanned operation device to a wheel speedometer dust amount data fusion wireless positioning method, where the wheel speedometer dust amount data fusion wireless positioning method is a positioning method that corrects the wheel speedometer based on the suspended dust amount collected when the device moves.

[0031] It can be understood that in a working scenario with a large amount of suspended dust, the signals of wireless positioning technologies will be severely interfered by the suspended dust. Even if wireless communication technologies are not used for positioning the operation device, in some scenarios with non-flat road surfaces, using only a wheel speedometer for positioning the operation device will still have large positioning errors caused by reasons such as slipping. And the common wheel speedometer multi-sensor fusion method will be greatly discounted in scenarios with a high suspended dust density, so it is also difficult to implement. Therefore, the embodiments of the present invention make use of the characteristics that the suspended dust is in a suspended state and the density is relatively stable at the same height. During the movement of the device, by calculating the suspended dust amount collected, the wheel speedometer is corrected and data is optimized, effectively using the suspended dust that makes it difficult to wirelessly position unmanned devices in scenarios such as mining and tunnels where there is likely to be a large amount of smoke and dust density, to improve the positioning accuracy of the wheel speedometer for unmanned devices.

[0032] In one embodiment, the unmanned operation device includes a semi-closed suspension dust collection space with a fixed volume, and the opening of the suspension dust collection space faces the advancing direction of the unmanned operation device.

[0033] In order to associate the dust collection amount of the suspension dust collection space with the moving distance of the unmanned operation device, it is necessary to ensure that the opening of the suspension dust collection space faces the advancing direction of the unmanned operation device. Exemplarily, air-permeable sieves can be provided on the other sides of the collection space except the opening side, which can allow air to pass through and leave the dust for measuring the amount of suspended dust.

[0034] In one embodiment, the wheel speed meter dust amount data fusion wireless positioning method includes: Obtain the dust amount data and the first mileage data obtained based on the wheel speed meter; Calculate the second mileage data based on the dust amount data and the suspended dust density information; Optimize the first mileage data according to the second mileage data.

[0035] In one embodiment, calculating the second mileage data based on the dust amount data and the suspended dust density information includes: Calculate the second mileage data based on the volume of the suspension dust collection space, the opening area, the dust amount data and the suspended dust density information.

[0036] Exemplarily, when the opening area of the suspension dust collection space is constant, the amount of collected dust and the suspended dust density are positively correlated with the moving record of the unmanned operation device. When the suspended dust density is known, it is easier to calculate the second mileage data.

[0037] In one embodiment, it further includes: Obtain the moving speed information of the unmanned operation device; When the moving speed information indicates that the moving speed of the unmanned operation device is greater than the preset speed and the suspended dust density information indicates that the suspended dust density in the working environment where the unmanned operation device is located is greater than the preset density, switch the wireless positioning method of the unmanned operation device to the wheel speed meter dust amount data fusion wireless positioning method.

[0038] Exemplarily, in the case where the moving speed of the unmanned operation device is too slow, the escape phenomenon of suspended dust is likely to occur, affecting the accuracy of the second mileage data. Then, when the moving speed information indicates that the moving speed of the unmanned operation device is greater than the preset speed and the suspended dust density information indicates that the suspended dust density in the working environment where the unmanned operation device is located is greater than the preset density, the wireless positioning method for the unmanned operation device can be switched to the wheel speed meter dust amount data fusion wireless positioning method to further improve the positioning accuracy of the unmanned operation device.

[0039] In one embodiment, it further includes: Establish a dust mileage theoretical model; Obtain dust mileage sample data, where the dust mileage sample data includes the associated marker data of the dust amount samples and mileage samples under different dust density sample conditions; Train the dust mileage theoretical model based on the dust mileage sample data to obtain a dust mileage optimization model.

[0040] In one embodiment, it further includes: The calculation of the second mileage data based on the dust amount data and the suspended dust density information includes: Calculate the second mileage data through the dust mileage optimization model based on the dust amount data and the suspended dust density information.

[0041] The integrated microseismic monitoring method in the embodiments of the present invention has been described above. Next, the integrated microseismic monitoring device in the embodiments of the present invention will be described.

[0042] Please refer to Figure 2 , an embodiment of the integrated microseismic monitoring device in the embodiments of the present invention may include: A mobile control unit 201, configured to control an unmanned operation device to perform a mobile operation task in a tunnel by using a wireless communication method; An installation unit 202, configured to perform ultra-remote installation of a microseismic monitoring device through the unmanned operation device when the unmanned operation device reaches a target position; A monitoring unit 203, configured to remotely monitor a rock burst section of a tunnel based on the installed microseismic monitoring device.

[0043] In summary, the integrated microseismic monitoring device provided by the above embodiments controls an unmanned operation device to perform a mobile operation task in a tunnel by using a wireless communication method; when the unmanned operation device reaches a target position, the unmanned operation device is used to perform ultra-remote installation of the microseismic monitoring device; based on the installed microseismic monitoring device, remote monitoring of the rockburst section of the tunnel is carried out. Thus, the layout of traditional microseismic monitoring devices usually relies on manual work, which has a long cycle and low efficiency. The unmanned device can complete the device layout in a short time, especially in complex environments (such as long tunnels, dangerous areas, etc.), improving the layout efficiency. Through precise positioning and automated operation, the unmanned device can ensure that the layout of the monitoring device is more accurate, thereby improving the accuracy of the monitoring data. The unmanned device can perform tasks in high-risk areas, reducing the time for personnel to be exposed to dangerous environments. Especially in high-risk rockburst areas, the safety of the staff is guaranteed through the remote control of the unmanned operation device. Through microseismic monitoring, the occurrence of rockburst can be predicted by vibration wave signals before it occurs, providing early warning for tunnel construction and helping to take timely preventive measures such as reinforcement and evacuation.

[0044] Above Figure 2 The integrated microseismic monitoring device in the embodiments of the present invention has been described from the perspective of modular functional entities. Next, the integrated microseismic monitoring device in the embodiments of the present invention will be described in detail from the perspective of hardware processing. Please refer to Figure 3 , an embodiment of the integrated microseismic monitoring device 300 in the embodiments of the present invention includes: An input device 301, an output device 302, a processor 303, and a memory 304. Among them, the number of processors 303 can be one or more, Figure 3 and one processor 303 is taken as an example. In some embodiments of the present invention, the input device 301, the output device 302, the processor 303, and the memory 304 can be connected by a bus or other means. Among them, Figure 3 connection by bus is taken as an example.

[0045] Among them, by calling the operation instructions stored in the memory 304, the processor 303 is used to execute the following steps: Control an unmanned operation device to perform a mobile operation task in a tunnel by using a wireless communication method; When the unmanned operation device reaches a target position, perform ultra-remote installation of the microseismic monitoring device through the unmanned operation device; Based on the installed microseismic monitoring device, remotely monitor the rockburst section of the tunnel.

[0046] By calling the operation instructions stored in the memory 304, the processor 303 is further used to execute Figure 1 any one of the corresponding embodiments.

[0047] Please refer to Figure 4 , Figure 4 , which is a schematic diagram of an embodiment of the electronic system provided by an embodiment of the present invention.

[0048] As Figure 4 shown, an embodiment of the present invention provides an electronic system, including a memory 410, a processor 420, and a computer program 411 stored on the memory 420 and executable on the processor 420. When the processor 420 executes the computer program 411, the following steps are implemented: Controlling an unmanned operation device to perform a mobile operation task in a tunnel by using a wireless communication method; When the unmanned operation device reaches a target position, installing a microseismic monitoring device ultra-remotely through the unmanned operation device; Remotely monitoring a rock burst section of the tunnel based on the installed microseismic monitoring device.

[0049] In a specific implementation process, when the processor 420 executes the computer program 411, any implementation manner in the corresponding embodiment can be implemented Figure 1 .

[0050] Since the electronic system introduced in this embodiment is the device used to implement an integrated microseismic monitoring device in an embodiment of the present invention, based on the method introduced in the embodiment of the present invention, those skilled in the art can understand the specific implementation manner of the electronic system in this embodiment and its various variations. Therefore, the specific implementation of how this electronic system implements the method in the embodiment of the present invention will not be described in detail here. As long as the device used by those skilled in the art to implement the method in the embodiment of the present invention belongs to the scope protected by the present invention.

[0051] Please refer to Figure 5 , Figure 5 , which is a schematic diagram of an embodiment of a computer-readable storage medium provided by an embodiment of the present invention.

[0052] As Figure 5 shown, this embodiment provides a computer-readable storage medium 500, on which a computer program 511 is stored. When the computer program 511 is executed by a processor, the following steps are implemented: Controlling an unmanned operation device to perform a mobile operation task in a tunnel by using a wireless communication method; When the unmanned operation device reaches a target position, installing a microseismic monitoring device ultra-remotely through the unmanned operation device; Remotely monitoring a rock burst section of the tunnel based on the installed microseismic monitoring device.

[0053] In the specific implementation process, when the computer program 511 is executed by a processor, it can implement Figure 1 any implementation manner in the corresponding embodiment.

[0054] It should be noted that in the above embodiments, the descriptions of each embodiment have their own emphases. For the parts not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0055] Those skilled in the art should understand that the embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0056] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of the processes and / or blocks in the flowchart and / or block diagram can also be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0057] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device, and the instruction device implements the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0058] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0059] An embodiment of the present invention also provides a computer program product, which includes computer software instructions. When the computer software instructions run on a processing device, the processing device is caused to execute the process in the integrated microseismic monitoring method in the corresponding embodiment as follows Figure 1 the process in the integrated microseismic monitoring method in the corresponding embodiment.

[0060] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions according to the embodiments of the present invention are fully or partially generated. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from a website, a computer, a server, or a data center to another website, a computer, a server, or a data center in a wired manner (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or a wireless manner (such as infrared, wireless, microwave, etc.). The computer-readable storage medium may be any available medium that can be stored by a computer or a data storage device such as a server or a data center that includes one or more integrated available media. The available medium may be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a DVD), or a semiconductor medium (for example, a solid state disk (SSD)), etc.

[0061] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments, and will not be described in detail here.

[0062] In several embodiments provided by the present invention, it should be understood that the disclosed systems, devices, 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 may be other division methods in actual implementation. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other may be an indirect coupling or communication connection through some interfaces, devices, or units, and may be in an electrical, mechanical, or other form.

[0063] The unit described as a separation component may or may not be physically separated. The component shown as a unit may or may not be a physical unit, that is, it may be located in one place or 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.

[0064] In addition, each functional unit in various embodiments of the present invention may be integrated in a processing unit, may exist separately as individual physical units, or two or more units may be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0065] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs and other various media that can store program codes.

[0066] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of various embodiments of the present invention.

Claims

1. An integrated microseismic monitoring method, characterized in that, The method includes: Controlling an unmanned operation device to perform a mobile operation task in a tunnel by using a wireless communication method; When the unmanned operation device reaches a target position, remotely installing a microseismic monitoring device by the unmanned operation device; Remotely monitoring a rockburst section of the tunnel based on the installed microseismic monitoring device.

2. The method according to claim 1, wherein The controlling an unmanned operation device to perform a mobile operation task in a tunnel by using a wireless communication method includes: Obtaining suspended dust density information of the working environment where the unmanned operation device is located in a non-line-of-sight communication scenario; When the suspended dust density information indicates that the suspended dust density of the working environment where the unmanned operation device is located is greater than a preset density, switching the wireless positioning method of the unmanned operation device to a wheel speedometer dust amount data fusion wireless positioning method, where the wheel speedometer dust amount data fusion wireless positioning method is a positioning method that corrects the wheel speedometer based on the suspended dust amount collected when the unmanned operation device moves, so as to control the unmanned operation device to perform a mobile operation task in the tunnel.

3. The method according to claim 2, wherein The unmanned operation device includes a semi-closed fixed-volume suspended dust collection space, and the opening of the suspended dust collection space faces the advancing direction of the unmanned operation device.

4. The method according to claim 2, wherein The wheel speedometer dust amount data fusion wireless positioning method is specifically: Obtaining dust amount data and first mileage data obtained based on a wheel speedometer; Calculating second mileage data based on the dust amount data and the suspended dust density information; Optimizing the first mileage data according to the second mileage data.

5. The method according to claim 4, characterized in that The calculating second mileage data based on the dust amount data and the suspended dust density information is specifically: Calculating second mileage data based on the volume, opening area of the suspended dust collection space, the dust amount data and the suspended dust density information.

6. The method according to claim 2, wherein When the suspended dust density information indicates that the suspended dust density of the working environment where the unmanned operation device is located is greater than a preset density, switching the wireless positioning method of the unmanned operation device to a wheel speedometer dust amount data fusion wireless positioning method further includes: Obtaining the moving speed information of the unmanned operation device; When the moving speed information indicates that the moving speed of the unmanned operation device is greater than a preset speed and the suspended dust density information indicates that the suspended dust density of the working environment where the unmanned operation device is located is greater than a preset density, switching the wireless positioning method of the unmanned operation device to a wheel speedometer dust amount data fusion wireless positioning method.

7. The method according to claim 4, characterized in that, The calculating second mileage data based on the dust amount data and the suspended dust density information is specifically: Establishing a dust mileage theoretical model; Obtaining dust mileage sample data, where the dust mileage sample data includes associated marker data of dust amount data samples and mileage data samples under different suspended dust density sample conditions; Training the dust mileage theoretical model based on the dust mileage sample data to obtain a dust mileage optimization model, and calculating second mileage data according to the dust mileage optimization model.

8. An integrated microseismic monitoring device, characterized in that, The device is used to execute the integrated microseismic monitoring method as described in any one of claims 1-7, and the device includes: A mobile control unit, which is used to control an unmanned operation device to perform a mobile operation task in a tunnel by using a wireless communication method; An installation unit, which is used to perform ultra-remote installation of a microseismic monitoring device through the unmanned operation device when the unmanned operation device reaches a target position; A monitoring unit, which is used to remotely monitor a rockburst section of a tunnel based on the installed microseismic monitoring device.

9. An electronic system, comprising a memory and a processor, characterized in that, The processor is used to implement the integrated microseismic monitoring method as described in any one of claims 1 to 7 when executing a computer program stored in a memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: The computer program, when executed by a processor, implements the integrated microseismic monitoring method as described in any one of claims 1 to 7.

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