A multi-system method for preventing coal and rock dynamic disasters based on resonance frequency monitoring

Abstract

The present invention provides a multi-system method for preventing coal and rock dynamic disasters based on resonance frequency monitoring, which belongs to the technical field of coal and rock dynamic disaster prevention and control. It starts from the perspective of resonance and combines multiple monitoring methods to predict and forecast coal and rock dynamic disasters, thereby improving the accuracy and timeliness of coal and rock dynamic disaster prediction and forecast; through the reasonable arrangement of measuring points, the monitoring results are made more reasonable and accurate, which is conducive to taking support measures in advance; the setting of the clock module ensures data synchronization while avoiding the monitoring of a large amount of useless data, thereby improving the stability and efficiency of the system.

Description

Technical Field

[0001] The present invention belongs to the technical field of coal-rock dynamic disaster prevention and control, and in particular relates to a multi-system method for preventing coal-rock dynamic disasters based on resonance frequency monitoring. Background Art

[0002] As shallow coal resources in central and eastern my country become increasingly depleted, deeper mining is becoming increasingly necessary. Rock burst is a serious coal and rock dynamic hazard. Deep underground, the surrounding rock experiences high stress and strain. In recent years, as mining depths have increased and geological conditions have become more complex, rock burst disasters have become increasingly severe, with major accidents occurring frequently. Field monitoring indicates that the earthquake sources and damage locations of many rock burst accidents are not identical, and the earthquake sources that cause coal and rock instability and damage are mostly far-field, low-frequency sources.

[0003] Coal and rock dynamic hazards are characterized by multiple information sources, including changes in frequency, vibration, stress, and electromagnetic fields. Existing coal and rock dynamic hazard monitoring technologies have different focuses and warning thresholds. Data acquisition and transmission are significantly impacted by the harsh underground environment and human factors during construction. Furthermore, data acquisition sensors often exhibit errors, leading to data synchronization issues, resulting in inaccurate and in-depth data analysis and prone to false alarms.

[0004] During rock bursts, coal and rock masses have a relatively low natural frequency. When the frequency of seismic waves approaches this natural frequency, a resonance amplification effect occurs. The closer the frequencies, the more pronounced the amplification effect. The amplitude of the waves increases, and the surrounding rock accumulates a large amount of elastic energy, ultimately triggering coal and rock dynamic disasters in the low-frequency, high-energy zone. Therefore, incorporating resonance monitoring into the prevention and control of coal and rock dynamic disasters is of great significance.

[0005] It's important to note that resonance refers to the phenomenon in which a physical system vibrates at a specific frequency and wavelength with a greater amplitude than at other frequencies and wavelengths. Natural frequency is an inherent property of a structure, existing regardless of external excitation. The rock mass surrounding a tunnel has a low natural frequency. When a distant rock fracture generates a low-frequency source, transmitting vibration waves, a resonance amplification effect occurs when the frequency of the vibration waves is close to or identical to the natural frequency of the tunnel's surrounding rock. Summary of the Invention

[0006] In response to the above problems existing in the prior art, the present invention provides a multi-system coal and rock dynamic disaster prevention system and method based on resonance monitoring to solve at least one of the above problems.

[0007] The present invention adopts the following technical solutions to achieve its technical objectives:

[0008] A multi-system coal and rock dynamic disaster prevention system based on resonance monitoring, which includes a natural frequency monitoring system, a microseismic sensing monitoring system, a support stress detection system, an electromagnetic radiation coal and rock fracture monitoring system, a data acquisition system, a data storage and processing system, a big data think tank cloud system and a disaster early warning system. The data acquisition system is communicatively connected to the natural frequency monitoring system, the microseismic sensing monitoring system, the support stress detection system and the electromagnetic radiation coal and rock fracture monitoring system. The data acquisition system is remotely connected to the data storage and processing system via a signal line. The data storage and processing system is communicatively connected to the big data think tank cloud system via the Internet.

[0009] The natural frequency monitoring system includes a laser Doppler vibrometer, which can monitor the vibration amplitude and frequency of the tunnel surrounding rock. When the far-field earthquake source causes the tunnel surrounding rock to produce a resonance amplification effect, the laser Doppler vibrometer can capture the increase in vibration amplitude and frequency on the tunnel surrounding rock surface.

[0010] The microseismic sensing monitoring system includes multiple microseismic sensors arranged at a certain distance along the roadway direction. It uses the time difference of the longitudinal waves received by different microseismic sensors to determine the location of the rupture and display it in three-dimensional space;

[0011] The support stress detection system includes a hydraulic support and a support stress monitoring sensor installed on the hydraulic support, which is used to record the support support force and monitor and record the working surface pressure data;

[0012] The electromagnetic radiation coal rock fracture monitoring system is used to monitor stress concentration, micro fracture and large fracture of coal rock, mainly monitoring the energy and pulse generated by coal rock fracture;

[0013] The data acquisition system is located in the underground tunnel and is used to collect data obtained by the natural frequency monitoring system, microseismic sensing monitoring system, support stress detection system and electromagnetic radiation coal and rock fracture monitoring system and transmit the collected data to the data storage and processing system, as well as to control the collection status of the natural frequency monitoring system, microseismic sensing monitoring system, support stress detection system and electromagnetic radiation coal and rock fracture monitoring system;

[0014] The data storage and processing system is located on the ground and is used to calculate and process the data from the data acquisition system, call the relevant data in the big data think tank cloud system that matches the data from the data acquisition system, conduct in-depth mining, and activate the disaster warning system to provide warnings and escape route planning based on warning conditions;

[0015] The big data think tank cloud system contains mining data from adjacent mines and historical mining data from this mine, which is used to provide data support for the prevention of coal and rock dynamic disasters.

[0016] Compared with the prior art, the present invention has at least the following beneficial effects:

[0017] The natural frequency monitoring system is used to monitor the resonance and predict the coal-rock dynamic disasters from the perspective of resonance. A variety of monitoring methods are combined to improve the accuracy and timeliness of the prediction of coal-rock dynamic disasters. The monitoring results are made more reasonable and accurate through the reasonable arrangement of measuring points, which is conducive to taking support measures in advance. Through in-depth analysis and mining of the acquired data, patterns are found to provide data support for the prevention of coal-rock dynamic disasters. The setting method of the laser Doppler vibrometer ensures the accuracy of the vibration frequency and amplitude it measures. At the same time, the setting of the clock module ensures data synchronization while avoiding the monitoring of a large amount of useless data, thereby improving the stability and efficiency of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0019] Figure 1 Schematic diagram of the system composition of the coal and rock dynamic disaster prevention system of the present invention;

[0020] Figure 2 It is a schematic diagram of the arrangement of the monitoring system near the underground working surface of the present invention;

[0021] Figure 3 Schematic diagram of the arrangement of sensors in underground tunnels according to the present invention;

[0022] Figure 4 yes Figure 3 A local enlarged schematic diagram of the middle AA area;

[0023] Figure 5 This is a schematic diagram of the installation of the laser Doppler vibrometer of the present invention;

[0024] Figure 6 This is a simplified flowchart of the implementation of the method for preventing coal and rock dynamic disasters of the present invention;

[0025] Figure 7 This is a schematic diagram of a data acquisition system according to an embodiment of the present invention;

[0026] Among them, 1-goaf, 2-hydraulic support, 3-working face, 4-support stress monitoring sensor, 5-microseismic and electromagnetic radiation monitoring point, 6-natural frequency monitoring point, 61-installation cover, 62-support unit, 63-laser Doppler vibrometer, 64-blind plate, 7-mining direction, 8-tunnel. Implementation Method

[0027] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0028] like Figures 1 to 7 As shown, the present invention provides a multi-system coal and rock dynamic disaster prevention system based on resonance monitoring, which includes a natural frequency monitoring system, a microseismic sensing monitoring system, a support stress detection system, an electromagnetic radiation coal and rock fracture monitoring system, a data acquisition system, a data storage and processing system, a big data think tank cloud system, and a disaster early warning system. The data acquisition system is communicatively connected to the natural frequency monitoring system, the microseismic sensing monitoring system, the support stress detection system, and the electromagnetic radiation coal and rock fracture monitoring system. The data acquisition system is remotely connected to the data storage and processing system via a signal line. The data storage and processing system is communicatively connected to the big data think tank cloud system via the Internet.

[0029] The natural frequency monitoring system includes an LDV laser Doppler vibrometer 63, which can monitor the vibration amplitude and frequency of the tunnel surrounding rock. When the far-field earthquake source causes the tunnel surrounding rock to produce a resonance amplification effect, the LDV laser Doppler vibrometer 63 can capture the increase in the vibration amplitude and frequency of the tunnel surrounding rock surface.

[0030] The microseismic sensing monitoring system includes multiple microseismic sensors arranged at regular intervals along the roadway. It uses the time difference of the longitudinal waves received by different microseismic sensors to determine the location of the fracture and display it in three dimensions. Generally speaking, the more active the microseismic activity in an area, the greater the possibility of rock fracture.

[0031] The support stress detection system includes a hydraulic support 2 and a support stress monitoring sensor 4 installed on the hydraulic support 2, which is used to record the support support force, monitor and record the working surface pressure data, etc.

[0032] The electromagnetic radiation coal rock fracture monitoring system is used to monitor stress concentration, micro fracture and large fracture of coal rock, mainly monitoring the energy and pulse generated by coal rock fracture;

[0033] The data acquisition system is located in the underground tunnel and is used to collect data obtained by the natural frequency monitoring system, microseismic sensing monitoring system, support stress detection system and electromagnetic radiation coal and rock fracture monitoring system and transmit the collected data to the data storage and processing system, as well as to control the collection status of the natural frequency monitoring system, microseismic sensing monitoring system, support stress detection system and electromagnetic radiation coal and rock fracture monitoring system;

[0034] The data storage and processing system is located on the ground and is used to calculate and process the data from the data acquisition system, call the relevant data in the big data think tank cloud system that matches the data from the data acquisition system, conduct in-depth mining, and activate the disaster warning system to provide warnings and escape route planning based on warning conditions;

[0035] The big data think tank cloud system contains mining data from adjacent mines and historical mining data from this mine, which is used to provide data support for the prevention of coal and rock dynamic disasters.

[0036] It should be noted that the LDV laser Doppler vibrometer 63 is installed on the side wall of the tunnel 8, preferably in the middle of the side wall of the tunnel 8, and is used to monitor the vibration amplitude and frequency of the surrounding rock on the side wall of the tunnel opposite to the LDV laser Doppler vibrometer 63. For example, see Figure 3 and Figure 4 , the LDV laser Doppler vibrometer 63 located at the natural frequency monitoring point 6 on the left is used to monitor the right side ( Figure 3 The vibration amplitude and frequency of the surrounding rock on the side where the microseismic and electromagnetic radiation monitoring point 5 is located are monitored. Due to the existence of the roadway, the longitudinal wave transmission process of the far-field source has a certain partition effect in the roadway in the horizontal direction. Therefore, the LDV laser Doppler vibrometer 63 is installed on the side wall on the opposite side. This can reduce the vibration interference of the far-field source on the laser Doppler vibrometer 63, and the monitoring results are more accurate. At the same time, installing it on the wall can avoid accidental contact of workers during construction, ensuring data accuracy. It should be further explained that the present invention Figures 1 to 7 The figure only shows the technical solution of setting the natural frequency monitoring point 6 on one side of the tunnel 8 and the microseismic and electromagnetic radiation monitoring point 5 on the other side; it should be understood that the natural frequency monitoring point 6 and the microseismic and electromagnetic radiation monitoring point 5 can be set on both sides of the tunnel 8. In this case, the laser Doppler vibrometer 63 at the natural frequency monitoring point 6 still monitors the vibration amplitude and frequency of the surrounding rock of the tunnel side wall on the opposite side.

[0037] Furthermore, in order to further reduce the vibration interference of construction or far-field seismic sources on the laser Doppler vibrometer 63, the laser Doppler vibrometer 63 is installed through a mounting cover 61 embedded in the side wall of the tunnel 8. The mounting cover 61 is a cylindrical metal tube structure. The laser Doppler vibrometer 63 and the mounting cover 61 are fixed by support units 62 (such as support columns). The support units 62 are distributed in a circumferential manner within the mounting cover 61. The laser Doppler vibrometer 63 is located in the middle of the mounting cover 61. The following description is for example, for example, see Figure 3 and Figure 4As shown, when the longitudinal wave from the far-field source is transmitted from the right, the vibration in the middle of the left side of the tunnel 8 will be very small due to the partitioning effect of the tunnel 8. Since the mounting cover 61 is an entire cylindrical metal tube structure, it is not easily deformed and vibrated with the surrounding rock. Therefore, the interference of the seismic wave on the laser Doppler vibrometer 63 in the middle is further reduced. Furthermore, the side of the mounting cover 61 away from the tunnel 8 is provided with a blind plate 64. The middle of the blind plate 64 is abutted against one side of the laser Doppler vibrometer 63 via a support column. This can prevent the surrounding rock from entering the mounting cover 61 and affecting the laser Doppler vibrometer 63. Further preferably, a vibration isolation ring (not shown in the figure) is installed between the support unit 62 and the laser Doppler vibrometer 63. This can further reduce the impact of the longitudinal wave generated by the far-field source on the laser Doppler vibrometer 63, thereby improving detection accuracy.

[0038] In addition, it should be further explained that the present invention sets the data acquisition system in the underground tunnel, which can facilitate the control of the acquisition status of the natural frequency monitoring system, microseismic sensing monitoring system, support stress detection system and electromagnetic radiation coal and rock fracture monitoring system set up underground;

[0039] Specifically, the data acquisition system includes a clock module. During data acquisition, the clock module establishes a link with each laser Doppler vibrometer 63 of the natural frequency monitoring system, as well as with each sensor of the microseismic sensing monitoring system, the support stress detection system, and the electromagnetic radiation coal and rock fracture monitoring system. Then, the clock module sends a reference clock signal (including a reference time signal and a frequency signal) to each laser Doppler vibrometer 63 and each sensor. Based on the received reference clock signal, each laser Doppler vibrometer 63 and each sensor aligns their local time to the time signal of the reference clock signal (the time signal of the reference clock signal is the local time signal of the clock module of the data acquisition system. Since the data acquisition system and the data storage and processing system are remotely connected via a signal line and have an almost five-degree delay, the local time signal is the local time of the data storage and processing system). The module also matches their sampling frequency to the frequency signal of the reference clock signal, so that the local time of each laser Doppler vibrometer 63 and each sensor is synchronized with the local time of the clock module of the data acquisition system. The sampling periods of each laser Doppler vibrometer 63 and each of the sensors are respectively positive integer multiples of the sampling period corresponding to the frequency signal of the reference clock signal, and the sampling periods of the laser Doppler vibrometers 63 are the same as those of the laser Doppler vibrometers 63, the sampling periods of the sensors of the microseismic sensing monitoring system are the same, the sampling periods of the sensors of the support stress detection system are the same, and the sampling periods of the sensors of the electromagnetic radiation coal and rock fracture monitoring system are the same. The sampling periods of the laser Doppler vibrometers 63, the sampling periods of the sensors of the microseismic sensing monitoring system, the sampling periods of the sensors of the support stress detection system, and the sampling periods of the sensors of the electromagnetic radiation coal and rock fracture monitoring system are the same or different. For example, the sampling period corresponding to the frequency signal of the reference clock signal is T, the sampling periods of each laser Doppler vibrometer 63 are N*T, the sampling periods of each sensor of the microseismic sensing monitoring system are M*T, the sampling periods of each sensor of the support stress detection system are K*T, and the sampling periods of each sensor of the electromagnetic radiation coal and rock fracture monitoring system are H*T, where N, M, K, and H are all positive integers. As you can see, the reference clocks for each monitoring system can be different. This setting is intended to unify the system time and the sampling period for the same type of sampling instruments or sensors, facilitating data calculation and analysis. Different types of sampling instruments or sensors can use their own sampling periods based on their sampling needs, facilitating targeted adjustments.For example, during data acquisition, since the resonance amplification effect occurs only when the vibration wave frequency is close to or identical to the natural frequency of the tunnel surrounding rock, if the laser Doppler vibrometers 63 and the sensors all use the same sampling period, a large amount of useless data will undoubtedly be generated. For example, when no resonance occurs or even when no far-field seismic source is detected, the laser Doppler vibrometers 63 perform a large number of surrounding rock vibration amplitude and frequency measurements, which are undoubtedly useless. The present invention uses different sampling periods for different types of sampling instruments or sensors to avoid this phenomenon. To achieve this purpose, the present invention further includes using the clock module of the data acquisition system to send an emergency signal to the laser Doppler vibrometers 63 and the sensors when the sensors detect an abnormal signal, such as when the sensors of the microseismic sensing monitoring system detect a far-field seismic source. The emergency signal is used to adjust the sampling period of the laser Doppler vibrometers 63 and the sensors so that the sampling period of the laser Doppler vibrometers 63 and the sensors is the same as T.

[0040] The present invention sets the data acquisition system in the underground tunnel and sets it on the ground with the data storage and processing system. The two can establish a communication connection through a signal line, and then upload the data of each system underground without the help of a network built underground. Because it is expensive to build a base station underground, especially in a deep well, the cost will be high, and the data storage and processing system is usually a large computer equipment, which requires a clean and ventilated operating environment. Factors such as coal dust and lack of ventilation in the mine will have an adverse effect on it. Therefore, the present invention separates the data acquisition system from the data storage and processing system, cleverly solving the above technical problems.

[0041] The present invention also provides a multi-system coal rock dynamic disaster prevention method based on resonance monitoring, which adopts the multi-system coal rock dynamic disaster prevention system based on resonance monitoring, see Figure 6 , and its implementation process is as follows:

[0042] (1) In the tunnel 8 (level tunnel) on both sides of the working face, microseismic and electromagnetic radiation monitoring points 5 and natural frequency monitoring points 6 are arranged at a certain distance from a certain position, such as Figures 2 to 3 As shown, the interval of a certain distance means that the interval is Lm along the roadway direction and Im in the vertical direction;

[0043] (2) An LDV laser Doppler vibrometer 63, a microseismic sensor, and an electromagnetic radiation sensor are installed in the section tunnel 8, and a support stress monitoring sensor 4 is installed on the hydraulic support 2. The LDV laser Doppler vibrometer 63 is installed at the natural frequency monitoring point 6, and the microseismic sensor and electromagnetic radiation sensor are installed at the microseismic and electromagnetic radiation monitoring point 5;

[0044] (3) Activate the multi-system coal and rock dynamic disaster prevention system based on resonance monitoring to conduct real-time monitoring and ensure real-time data transmission;

[0045] (4) Mining at the working face;

[0046] (5) When the above sensors detect abnormal signals, the sampling period of the unified natural frequency monitoring system, microseismic sensor monitoring system, support stress detection system and electromagnetic radiation coal and rock fracture monitoring system is T;

[0047] (6) When a resonance amplification effect occurs, the corresponding area is quickly detected through various systems, a fixed-point forecast is made, and support is strengthened around the fixed-point area; if there is no resonance amplification effect, each system operates normally and records data;

[0048] (7) Use the data storage and processing system to calculate and process the data from the data acquisition system, call the relevant data in the big data think tank cloud system that matches the data from the data acquisition system, conduct in-depth mining, and enable the disaster warning system to perform warnings and escape route planning based on the warning conditions. The planning of the escape route is obtained by simulation calculation using the ant colony algorithm.

[0049] The above description is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this field, several variations and improvements can be made without departing from the creative concept of the present invention, which all fall within the scope of protection of the present invention.

Claims

1. A multi-system coal and rock dynamic disaster prevention system based on resonance monitoring, which includes a natural frequency monitoring system, a microseismic sensing monitoring system, a support stress detection system, an electromagnetic radiation coal and rock fracture monitoring system, a data acquisition system, a data storage and processing system, a big data think tank cloud system and a disaster early warning system, characterized in that: The data acquisition system is connected to the natural frequency monitoring system, the microseismic sensing monitoring system, the support stress detection system and the electromagnetic radiation coal rock fracture monitoring system. The data acquisition system is remotely connected to the data storage and processing system through a signal line, and the data storage and processing system is connected to the big data think tank cloud system through the Internet. The natural frequency monitoring system includes a laser Doppler vibrometer (63), which can monitor the vibration amplitude and frequency of the surrounding rock of the tunnel (8). When the far-field earthquake source causes the surrounding rock of the tunnel (8) to produce a resonance amplification effect, the laser Doppler vibrometer (63) can capture the increase in the vibration amplitude and frequency of the surrounding rock surface of the tunnel (8). The microseismic sensing monitoring system includes a plurality of microseismic sensors arranged at a certain distance along the direction of the tunnel (8). The microseismic sensing monitoring system uses the time difference of the longitudinal waves received by different microseismic sensors to determine the location of the fracture and display it in three-dimensional space. The support stress detection system includes a hydraulic support (2) and a support stress monitoring sensor (4) installed on the hydraulic support (2), which is used to record the support support force and monitor the record. Recording working face (3) pressure data; electromagnetic radiation coal rock fracture monitoring system is used to monitor coal rock stress concentration and micro fracture and large fracture, mainly monitoring the energy and pulse generated by coal rock fracture; the data acquisition system is located in the underground tunnel (8), and is used to collect data obtained by the natural frequency monitoring system, microseismic sensing monitoring system, support stress detection system and electromagnetic radiation coal rock fracture monitoring system and transmit the collected data to the data storage and processing system, as well as to regulate the acquisition status of the natural frequency monitoring system, microseismic sensing monitoring system, support stress detection system and electromagnetic radiation coal rock fracture monitoring system; the data storage and processing system is located on the ground, and is used to calculate and process the data from the data acquisition system, call the relevant data in the big data think tank cloud system that matches the data from the data acquisition system, conduct in-depth mining, and activate the disaster warning system according to the warning conditions to carry out warning and escape route planning; the big data think tank cloud system contains mining data of adjacent mines and historical mining data in the mine, which is used to provide data support for the prevention of coal rock dynamic disasters.

2. A multi-system coal and rock dynamic disaster prevention system based on resonance monitoring according to claim 1, characterized in that: The laser Doppler vibrometer (63) is installed in the middle of the side wall of the tunnel (8) and is used to monitor the vibration amplitude and frequency of the surrounding rock of the side wall of the tunnel (8) opposite to the laser Doppler vibrometer (63).

3. A multi-system coal and rock dynamic disaster prevention system based on resonance monitoring according to claim 2, characterized in that: The laser Doppler vibrometer (63) is installed by embedding a mounting cover (61) in the side wall of the tunnel (8); the mounting cover (61) is a cylindrical metal tube structure as a whole; the laser Doppler vibrometer (63) and the mounting cover (61) are fixed by support units (62); the support units (62) are distributed in the mounting cover (61) at circumferential intervals; the laser Doppler vibrometer (63) is located in the middle of the mounting cover (61).

4. A multi-system coal and rock dynamic disaster prevention system based on resonance monitoring according to claim 3, characterized in that: The side of the mounting cover (61) away from the laneway (8) is a blind plate (64), and the middle of the blind plate (64) is abutted against one side of the laser Doppler vibrometer (63) through a support column.

5. The multi-system coal and rock dynamic disaster prevention system based on resonance monitoring according to claim 3, characterized in that: A vibration isolation ring is also installed between the support unit (62) and the laser Doppler vibrometer (63).

6. A multi-system coal and rock dynamic disaster prevention system based on resonance monitoring according to any one of claims 3 to 5, characterized in that: The data acquisition system includes a clock module.

7. A multi-system coal and rock dynamic disaster prevention method based on resonance frequency monitoring, which is implemented using the multi-system coal and rock dynamic disaster prevention system based on resonance frequency monitoring according to claim 6, characterized in that: The method includes, during data acquisition, establishing a link between the clock module and each laser Doppler vibrometer (63) of the natural frequency monitoring system, and establishing a link with each sensor of the microseismic sensing monitoring system, the support stress detection system and the electromagnetic radiation coal rock fracture monitoring system, and then using the clock module to send a reference clock signal to each laser Doppler vibrometer (63) and each sensor, so that the local time of each laser Doppler vibrometer (63) and each sensor is synchronized with the local time of the clock module of the data acquisition system; wherein the sampling periods of each laser Doppler vibrometer (63) and each sensor are reference clock signals, respectively. The sampling period corresponding to the frequency signal of the clock signal is a positive integer multiple, and the sampling periods between the laser Doppler vibrometer (63) and the laser Doppler vibrometer (63) are the same, the sampling periods between the various sensors of the microseismic sensing monitoring system are the same, the sampling periods between the various sensors of the support stress detection system are the same, and the sampling periods between the various sensors of the electromagnetic radiation coal and rock fracture monitoring system are the same, and the sampling periods of the laser Doppler vibrometer (63), the sampling periods of the sensors of the microseismic sensing monitoring system, the sampling periods of the sensors of the support stress detection system and the sampling periods of the sensors of the electromagnetic radiation coal and rock fracture monitoring system are the same or different from each other.

8. The multi-system coal and rock dynamic disaster prevention method based on resonance frequency monitoring according to claim 7, characterized in that: When each sensor detects an abnormal signal, an emergency signal is sent to each laser Doppler vibrometer (63) and each sensor using a clock module of a data acquisition system. The emergency signal is used to adjust the sampling period of each laser Doppler vibrometer (63) and each sensor so that the sampling period of each laser Doppler vibrometer (63) and each sensor is the sampling period corresponding to the frequency signal of the reference clock signal.

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