A real-time dynamic monitoring system for microseismic activity based on 5G mobile communications

Abstract

The present invention discloses a real-time dynamic monitoring system for microseismic events based on 5G mobile communications, comprising a data acquisition module for acquiring microseismic signals; a sensor setting module for acquiring an optimal distribution scheme for wireless sensors; a signal conversion module for converting microseismic signals into 5G digital signals; a 5G base station for acquiring the arrival time of the 5G digital signal and transmitting it to an earthquake monitoring station; an earthquake monitoring station for monitoring the location of the earthquake source according to the arrival time; and an early warning module for issuing an early warning when a microseismic event is detected or when a wireless signal sensor fails. The present invention converts traditional microseismic signals into 5G digital signals through 5G communication technology and data signal processing technology, thereby realizing the acquisition of wireless data at the arrival time, speeding up data transmission while saving costs, achieving detection range coverage by planning sensor settings, and realizing identification and early warning of sensor failures.

Description

Technical Field

[0001] The present invention belongs to the field of earthquake monitoring, and in particular relates to a real-time dynamic monitoring system for microseismic activity based on 5G mobile communications. Background Art

[0002] Microearthquakes are seismic activities induced by tunnel mining. They are small earthquakes caused by rock damage due to changes in the stress field in the rock mass near the mining tunnel. Rock breakage and seismic activities often occur during deep underground mining, so microearthquakes are inevitable.

[0003] Microseismic monitoring technology is a geophysical technique that monitors the impact and effects of production activities and underground conditions by observing and analyzing tiny earthquakes generated during production. When underground rocks fracture or shift due to human or natural factors, weak seismic waves propagate around them. By deploying multiple sets of geophones in the space surrounding the fracture zone and collecting microseismic data in real time, the data is processed and, using the principle of vibration location, the fracture's location can be determined and displayed in three dimensions.

[0004] In traditional real-time dynamic microseismic monitoring and location technology, microseismic signals are typically transmitted via thick copper wires, which are expensive, bulky, and difficult to connect and deploy. This directly results in a massive and expensive engineering effort. Furthermore, traditional earthquake phase identification and source location rely on monitoring stations, which derive their information from sensors embedded in the rock mass of underground mines. This information is transmitted via thick copper wires, which are bulky, difficult to deploy, and expensive. Summary of the Invention

[0005] The purpose of the present invention is to provide a real-time dynamic monitoring system for microseismic activity based on 5G mobile communications to solve the problems existing in the above-mentioned prior art.

[0006] To achieve the above objectives, the present invention provides a real-time dynamic monitoring system for microseismic activity based on 5G mobile communications, comprising a data acquisition module, a sensor setting module, a signal conversion module, several 5G base stations, earthquake monitoring stations, and an early warning module;

[0007] The data acquisition module includes a plurality of wireless signal sensors, and acquires microseismic signals through the plurality of wireless signal sensors;

[0008] The sensor setting module is used to obtain an optimal distribution plan of wireless sensors according to the 5G base station;

[0009] The signal conversion module is used to convert the microseismic signal into a 5G digital signal and transmit it to the 5G base station;

[0010] The 5G base station is used to obtain the arrival time of the 5G digital signal and transmit it to the earthquake monitoring station;

[0011] The seismic monitoring station is used to monitor the location of the earthquake source according to the arrival time;

[0012] The early warning module is used to issue an early warning when the earthquake source position is monitored and the wireless signal sensor fails.

[0013] Optionally, both the wireless signal sensor and the earthquake monitoring station are provided with 5G terminals, and the 5G digital signal is transmitted from the signal sensor to the earthquake monitoring station through the 5G terminal.

[0014] Optionally, the number of the plurality of 5G base stations is greater than 5, and they are arranged horizontally and vertically, and the spacing distances between adjacent 5G base stations are the same.

[0015] Optionally, the signal conversion module includes several embedded DSP processors, which perform Fourier transform on the microseismic signal through the several embedded DSP processors, convert the time domain information of the microseismic signal into frequency domain information, and obtain the 5G digital signal based on the frequency domain information.

[0016] Optionally, the sensor setting module constructs a sensor distribution model by adopting a weighted residual method, sets boundary conditions according to the maximum horizontal distance and the maximum vertical distance of the 5G base station, and obtains the optimal distribution scheme of the wireless sensors based on the sensor distribution model and the boundary conditions.

[0017] Optionally, the earthquake monitoring station determines the probability of occurrence of microearthquakes and the location of the earthquake source based on the time when the digital signal is received by the 5G base station, and sets an early warning threshold for the probability of occurrence. When the probability of occurrence exceeds the early warning threshold, a microearthquake early warning signal is generated and transmitted to the early warning module.

[0018] Optionally, the earthquake monitoring station is also used to determine whether the wireless signal sensor is faulty. When the microseismic signal cannot be received, the wireless sensor is determined to be faulty. At this time, the position of the faulty sensor is obtained, and a fault prompt signal is generated and transmitted to the early warning module.

[0019] Optionally, the earthquake monitoring station is also used to monitor the source position according to the arrival time of the microseismic signal, and continuously adjust the optimal position of the wireless sensor based on the actual source position and the calculated source location, and perform adjustment feedback in real time until the positioning error does not exceed the set warning threshold.

[0020] Optionally, the early warning module is connected to several mobile terminals. When the early warning module receives a microseismic early warning signal, it controls the mobile terminal to issue an early warning in the form of audio; when it receives a fault prompt signal, it controls the mobile terminal to vibrate and prompt the location of the faulty sensor.

[0021] The technical effects of the present invention are:

[0022] The present invention proposes a real-time dynamic monitoring system for microseismic activity based on 5G mobile communications. Through 5G communication technology and data signal processing technology, traditional microseismic signals are converted into 5G digital signals, realizing the real-time collection of wireless data. This speeds up data transmission while saving costs, and achieves coverage of the detection range by planning sensor settings, compensating for the weak penetration of 5G signals. At the same time, it realizes the identification and early warning of sensor failures, ensuring the accuracy of data acquisition. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The accompanying drawings, which constitute part of this application, are intended to provide a further understanding of this application. The exemplary embodiments and descriptions of this application are intended to explain this application and do not constitute an improper limitation on this application. In the accompanying drawings:

[0024] Figure 1 This is a structural diagram of a real-time dynamic monitoring system for microseismic events based on 5G mobile communications in an embodiment of the present invention. DETAILED DESCRIPTION

[0025] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments in this application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0026] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0027] Example 1

[0028] like Figure 1 As shown, this embodiment provides a microseismic real-time dynamic monitoring system based on 5G mobile communication, including a data acquisition module, a sensor setting module, a signal conversion module, a 5G base station, a seismic monitoring station, and a fault processing module; specifically:

[0029] The data acquisition module includes several wireless signal sensors, which have the advantages of small size, rich interfaces and easy installation. Microseismic signals are obtained through several wireless signal sensors. At the same time, the wireless signal sensors are equipped with 5G terminals, which transmit the microseismic signals detected by the sensors in the form of digital signals to the 5G base station through the 5G terminals.

[0030] In this embodiment, the digital acquisition module fully utilizes 5G mobile communication technology. Sensors sense microseismic signals. A 5G terminal integrated in the sensor transmits the signal to a 5G base station. This information is then transmitted via the 5G mobile communication system. A microseismic signal collector, equipped with an integrated 5G terminal, converts the 5G mobile communication information into microseismic signals, thereby enabling end-to-end data transmission from the sensor to the signal collector. The intermediate process between the wireless sensor and the wireless collector becomes a blind box, and the information transmitted by this 5G blind box is essentially only the arrival time of the microseismic wave detected by the monitoring station.

[0031] In this embodiment, each wireless sensor is considered a node, possessing wireless communication capabilities and certain signal processing functions. Each node represents a specific monitoring location. A wireless sensor consists of a sensing device, a data processing microcontroller, and a wireless connection RF module, which acts as a simple transmitter or transceiver (TX / RX).

[0032] The signal conversion module includes several embedded DSP processors, which convert microseismic signals into 5G digital signals and transmit them to 5G base stations. Embedded DSP processors play a vital role in 5G communication networks. Compared with traditional central processing units, embedded DSP processors offer advantages such as compact size and high transmission efficiency, reducing actual operating costs. Combining embedded DSP processors with digital signal processing technology allows the conversion of microseismic signals into 5G digital signals through the integrated control capabilities of the microprocessor, thereby reducing the operating costs of 5G communications.

[0033] Microseismic signals are high-frequency analog signals generated by the impact of rocks, metal oxides, metals, and other objects. Fourier transforms, a method for converting signals from the time domain to the frequency domain, are a crucial analytical tool in fields such as acoustics, speech, telecommunications, and signal processing. Several embedded DSP processors perform Fourier transforms on microseismic signals, converting their time-domain information into frequency-domain information. Finally, the converted frequency-domain information can be used to effectively obtain 5G digital signals, enabling conversion between microseismic signals and 5G digital signals.

[0034] Compared with the third-generation mobile communication technology and the fourth-generation mobile communication technology, the signal penetration capability of 5G mobile communication technology is relatively weak. However, the advantage of flexible selection of spatial positions of wireless sensors makes up for the problem of weak 5G signal penetration. At the same time, considering that the setting of wireless signal sensors should cover the entire monitoring range, in this embodiment, 5G base stations are arranged horizontally and vertically with the same spacing distance, and the number of base stations is not less than 5. Through this setting, sensors can be flexibly arranged between adjacent base stations, and the overall monitoring range of microearthquakes can be covered.

[0035] The sensor setting module constructs a sensor distribution model by using the weighted residual method, sets boundary conditions according to the maximum horizontal distance and maximum vertical distance set by the 5G base station, and performs calculations based on the sensor distribution model and boundary conditions to obtain the optimal wireless sensor distribution plan. By setting sensors through the optimal distribution plan, while compensating for the weak penetration of 5G signals, microseismic signals can be acquired in a more comprehensive manner.

[0036] The earthquake monitoring station is used to monitor the probability and source location of micro-earthquakes according to the time when the 5G digital signal arrives at the 5G base station. When the acoustic emission energy level generated by certain geological defects is large and the received signal frequency band is low, it is judged that a micro-earthquake is about to occur. Specifically, for example, when the signal frequency band of the micro-earthquake signal is less than 200Hz, the probability of micro-earthquake occurrence is judged to be 100%; when the signal frequency band is 200-500Hz, the probability of occurrence is judged to be 70%; when the signal frequency band is 500-1000Hz, the probability of occurrence is judged to be 50%. The earthquake monitoring station sets an early warning threshold for the probability of occurrence. When the probability of occurrence exceeds the early warning threshold, a micro-earthquake early warning signal is generated and transmitted to the early warning module. At this time, relevant staff can set the relevant thresholds and early warning conditions according to actual needs. For example, when the probability of micro-earthquake occurrence is judged to be 50%, the earthquake monitoring station generates an earthquake early warning signal.

[0037] The earthquake monitoring station is also used to monitor the source location according to the arrival time of the microseismic signal. According to the actual source location and the calculated source location, the optimal position of the wireless sensor is continuously adjusted and adjusted in real time until the positioning error does not exceed the pre-set threshold.

[0038] Since 5G communication technology has not yet been maturely applied in this field, when data abnormalities occur, it is impossible to determine whether the 5G terminal in the sensor is faulty or the wireless sensor itself is faulty. Therefore, when the earthquake monitoring station in the present invention cannot normally obtain the time when the microseismic signal arrives, it is determined that the wireless signal sensor is faulty. At this time, the monitoring station obtains the location of the faulty sensor and generates a fault prompt signal to be transmitted to the early warning module.

[0039] The early warning module is connected to several mobile terminals. The portability of the mobile terminals enables relevant staff to receive early warning information in a timely manner. When the early warning module receives a microseismic early warning signal from a monitoring station, it controls the mobile terminal to issue an early warning in the form of an audio prompt; when it receives a fault prompt signal, it controls the mobile terminal to vibrate and display the location of the faulty sensor, making it easier for staff to carry out timely maintenance.

[0040] This embodiment uses 5G communication technology and data signal processing technology to convert traditional microseismic signals into 5G digital signals, realizing the real-time collection of wireless data. This saves costs while speeding up data transmission. By planning sensor settings, it achieves coverage of the detection range, compensating for the weak penetration of 5G signals, and realizes the identification and early warning of sensor failures, ensuring the accuracy of acquired data.

[0041] In summary, the present invention designs a self-adjusting and self-optimizing adaptive microseismic monitoring, positioning and early warning system based on wireless sensors to determine specific mining locations.

[0042] Those skilled in the art will appreciate that embodiments of the present invention may be provided as systems or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0043] The present invention is described with reference to flowcharts and / or block diagrams of computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0044] These computer program instructions may 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 produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0045] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps for the function specified in one or more boxes.

[0046] The above description is merely a preferred embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A microseismic real-time dynamic monitoring system based on 5G mobile communication, characterized in that: It includes data acquisition module, sensor setting module, signal conversion module, several 5G base stations, earthquake monitoring stations, and early warning module; The data acquisition module includes a plurality of wireless signal sensors, and acquires microseismic signals through the plurality of wireless signal sensors; The sensor setting module is used to obtain an optimal distribution plan of wireless sensors according to the 5G base station; The signal conversion module is used to convert the microseismic signal into a 5G digital signal and transmit it to the 5G base station; The 5G base station is used to obtain the arrival time of the 5G digital signal and transmit it to the earthquake monitoring station; The early warning module is used to issue an early warning when the earthquake source location is monitored and the wireless signal sensor fails; The sensor setting module constructs a sensor distribution model by adopting a weighted residual method, sets boundary conditions according to the maximum horizontal distance and the maximum vertical distance of the 5G base station, and obtains an optimal distribution scheme of the wireless sensors based on the sensor distribution model and the boundary conditions; The earthquake monitoring station determines the probability of occurrence of a microseism and the location of the earthquake source according to the time when the digital signal is received by the 5G base station, sets an early warning threshold for the probability of occurrence, and generates a microseismic early warning signal when the probability of occurrence exceeds the early warning threshold, and transmits it to the early warning module; The seismic monitoring station is also used to determine whether the wireless signal sensor is faulty. When the microseismic signal cannot be received, it is determined that the wireless sensor is faulty. At this time, the location of the faulty sensor is obtained, and a fault prompt signal is generated and transmitted to the early warning module; The earthquake monitoring station is also used to monitor the source location according to the arrival time of the microseismic signal. According to the actual source location and the calculated source location, the optimal position of the wireless sensor is continuously adjusted and adjusted in real time until the positioning error does not exceed the set warning threshold.

2. The microseismic real-time dynamic monitoring system based on 5G mobile communication according to claim 1 is characterized in that: The wireless signal sensor and the earthquake monitoring station are both provided with 5G terminals, and the 5G digital signal is transmitted from the signal sensor to the earthquake monitoring station through the 5G terminal.

3. The microseismic real-time dynamic monitoring system based on 5G mobile communication according to claim 1 is characterized in that: The number of the plurality of 5G base stations is greater than 5, and they are arranged horizontally and vertically, and the interval distance between adjacent 5G base stations is the same.

4. The microseismic real-time dynamic monitoring system based on 5G mobile communication according to claim 1, characterized in that: The signal conversion module includes several embedded DSP processors, which perform Fourier transform on the microseismic signal through the several embedded DSP processors, convert the time domain information of the microseismic signal into frequency domain information, and obtain the 5G digital signal based on the frequency domain information.

5. The microseismic real-time dynamic monitoring system based on 5G mobile communication according to claim 1 is characterized in that: The early warning module is connected to a plurality of mobile terminals, and when the early warning module receives a microseismic early warning signal, it controls the mobile terminals to issue an early warning in the form of audio; When a fault prompt signal is received, the mobile terminal is controlled to vibrate to prompt and display the location of the sensor where the fault occurs.

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