KR102290181B1 - Microseism monitoring system for sensing collapse of mine pit - Google Patents

Abstract

The present invention relates to a micro-vibration monitoring system for detecting a collapse in a mine pit, and more particularly to a micro-vibration monitoring system for detecting a collapse in a mine pit by analyzing the micro-vibration data measured by a collapse detection sensor installed on the ground surface, sidewall or ceiling of the mine pit and monitoring the collapse of the mine pit. According to the present invention, by analyzing the micro-vibration data measured by the collapse detection sensor installed on the ground surface, side wall or ceiling of the mine pit, and monitoring the collapse of the mine pit, the harmful elements exposed to mine workers can be removed in advance by predicting the collapse of the mine pit due to micro-vibration generated in the mine pit. The present invention includes a sensor interface board and a gateway.

Description

Micro-vibration monitoring system for detecting collapse in a mine pit

The present invention relates to a micro-vibration monitoring system for detecting the collapse of a mine pit, and more particularly, a mine pit for monitoring the collapse of a mine mine by analyzing the micro-vibration data measured by a collapse detection sensor installed on the surface, sidewall or ceiling of a mine pit. It relates to a micro-vibration monitoring system for decay detection.

In general, the underground mine tunnel consists of a room, which is a space generated after excavation, and a pillar that is not mined to prevent collapse. It consists of a floor and an upper ceiling.

As the underground excavation progresses, the kitchen and arm poles are subjected to stress and the displacement continues. If the threshold is exceeded, brittle fractures may occur, which may cause the collapse of the tunnel and human casualties. This displacement is mainly concentrated on the rock column, and causes the ceiling, wall and floor to slightly swell.

Most of the conventional displacement measurement methods consist of measuring through a one-dimensional single gauge or measuring lidar for surveying at the site, measuring irregularly, and then looking at the difference. One-dimensional measurement cannot represent a wide range, and economical efficiency is low when multiple measurements are performed, and there are difficulties in management.

In addition, three-dimensional lidar has a problem in that it is not possible to acquire forecast and warning data through real-time continuous measurement because measuring equipment is expensive, measuring irregularly, and observing displacement after various data processing.

In particular, a system that can predict the collapse of a mine through micro-vibration analysis because micro-vibrations may be generated in the mine due to work or other influence This is a necessary situation.

KR10-2026643B1

The present invention was devised to solve such a problem, and it is possible to monitor the collapse of a mine mine by analyzing the microvibration data measured by the collapse detection sensor installed on the surface, sidewall or ceiling of the mine mine. An object of the present invention is to provide a micro-vibration monitoring system.

According to one aspect of the micro-vibration monitoring system for detecting the collapse of a mine pit according to the present invention for achieving the above object, the sensor interface board is installed on the ground surface, side wall, or ceiling of the mine pit for each cell unit of a predetermined area; a collapse detection sensor installed in a plurality of each of the sensor interface boards to measure the micro-vibration of the rock; a gateway for collecting micro-vibration measurement data in each cell area measured by the plurality of collapse detection sensors; a micro-vibration monitoring server that receives micro-vibration measurement data in each cell area collected by the gateway in real time through a network, analyzes the state of micro-vibration changes appearing in the bedrock, and predicts the collapse of the mine in advance; and an alarm device that transmits an alarm sound when receiving a pre-prediction warning signal for collapse of a mine mine from the micro-vibration monitoring server.

In addition, the collapse detection sensor can measure the state of micro-vibration changes appearing in the rock due to the mine work or natural causes before the rock collapse or rockfall occurs in the mine shaft.

In addition, the micro-vibration monitoring server analyzes the micro-vibration change state appearing in the bedrock based on the micro-vibration measurement data in each cell area collected by the gateway. As a result, the micro-vibration change value in a specific cell area is a preset reference value. If it exceeds, it can be judged that the collapse of the mine has started.

In addition, when receiving an alarm signal from the micro-vibration monitoring server in which the change value of the micro-vibration in the specific cell region exceeds a preset reference value, the warning device sounds an alarm to indicate the start of the mine mine collapse at regular intervals for a predetermined time. can be sent with

According to the present invention, by analyzing the micro-vibration data measured by the collapse detection sensor installed on the surface, sidewall or ceiling of the mine mine, the collapse of the mine is monitored, and the collapse of the mine due to the micro-vibration generated in the mine is predicted by the mine workers. It has the effect of being able to remove the harmful elements exposed to them in advance.

1 is a view showing the overall configuration of a micro-vibration monitoring system for detecting collapse in a mine mine according to an embodiment of the present invention.
2 is a view showing a detailed configuration of the collapse detection sensor in FIG. 1 .
3 is a view showing a detailed configuration of the micro-vibration monitoring server in FIG. 1 .
4 is a diagram showing an example of a micro-vibration test layout and a position tracking test result.
5 is a diagram illustrating an example of a communication method between an anchor and a tag for recognizing an object position in the object position recognition unit of FIG. 3 .
6 is a diagram showing three strings when three anchors receive position data from a tag.
7 and 8 are diagrams illustrating a micro-vibration monitoring method for detecting collapse in a mine mine according to an embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Prior to this, the terms or words used in the present specification and claims should not be construed as being limited to conventional or dictionary meanings, and the inventor should properly understand the concept of the term in order to best describe his invention. Based on the principle that it can be defined, it should be interpreted as meaning and concept consistent with the technical idea of the present invention. Therefore, the configuration shown in the embodiments and drawings described in the present specification is only the most preferred embodiment of the present invention and does not represent all the technical spirit of the present invention, so at the time of the present application, various It should be understood that there may be equivalents and variations.

1 is a view showing the overall configuration of a micro-vibration monitoring system for detecting collapse in a mine mine according to an embodiment of the present invention.

As shown, the micro-vibration monitoring system for detecting the collapse of a mine shaft of the present invention includes a plurality of collapse detection sensors 110 installed on the sensor interface board 100 in the mine shaft, a gateway 200, and an alarm device ( 400) and a micro-vibration monitoring server 300 for transmitting and receiving data communication and control signals to and from the gateway 200 and the alarm device 400 through a network.

A plurality of collapse detection sensors 100 are installed on the sensor interface board 100 installed for each cell unit of a predetermined area on the ground surface, sidewall, or ceiling of the mine shaft, so that the collapse or rockfall of the rock in the mine occurs. A vibration change state may be measured, and the measured micro-vibration data in each cell area may be transmitted to the gateway 200 by a short-range wireless communication method. Here, the collapse detection sensor 100 may measure the state of micro-vibration changes appearing in the rock before the collapse or rockfall of the mine rock using an ICT or IoT-based geophone sensor according to the mine environment.

The gateway 200 may receive and collect microvibration data in each cell area respectively measured by a plurality of collapse detection sensors 100 by a short-distance wireless communication method, and collect the microvibration data in each cell area integratedly collected. The micro-vibration data may be transmitted to the micro-vibration monitoring server 300 through a network.

The micro-vibration monitoring server 300 receives the micro-vibration data in each cell area integratedly collected by the gateway 200 in real time through the network network, and the collapse of rocks, rocks, and the like on the ground surface, side walls or ceilings of the mine occur. It is possible to analyze the state of micro-vibration changes that appear in the bedrock before doing so. As a result of the analysis, when the change value of the micro-vibration in the specific cell region exceeds the preset reference value, it is determined that the collapse or collapse of the mine mine has started, and an alarm signal can be generated. Here, the network means a connection structure capable of exchanging information between each module. Examples of such a network include a 3rd Generation Partnership Project (3GPP) network, a Long Term Evolution (LTE) network, and a World Interoperability for WIMAX (WIMAX) network. Microwave Access) network, Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), Bluetooth (Bluetooth) network, satellite broadcasting network, analog broadcasting networks, Digital Multimedia Broadcasting (DMB) networks, WiFi, V2V, V2I, V2X, DSRC, and the like.

The alarm device 400 is connected to the micro-vibration monitoring server 300 through a network and when receiving an alarm signal notifying the collapse or start of collapse in the mine mine from the micro-vibration monitoring server 300, notifying the collapse or start of collapse in the mine. An alarm sound may be transmitted at periodic intervals for a predetermined time. Accordingly, workers who are working in the mine can quickly evacuate from the mine by recognizing the alarm sound that is periodically transmitted at a predetermined time interval from the alarm device 400 .

2 is a view showing a detailed configuration of the collapse detection sensor in FIG. 1 .

As shown, the collapse detection sensor 110 of the present invention may include a triggering module 111 , a high-speed buffering memory 112 , and a sensor interface 113 .

The triggering module 111 may be triggered when a micro-vibration appearing in the bedrock is detected before collapse, rockfall, etc. of the rock in the mine mine occurs, and dynamically measure the state of change in the micro-vibration appearing in the bedrock. Here, the triggering criterion may be triggered when the microvibration measurement value is greater than or equal to the triggering reference value to measure the microvibration change state appearing in the bedrock.

The high-speed buffering memory 112 may store the micro-vibration measurement value measured by the triggering module 111 and may stably transmit a large amount of data through high-speed buffering. In particular, the high-speed buffering memory 112 can be used in consideration of a wide operating range from low to high frequency, high resolution for precision, and signal processing speed for processing a large amount of data when measuring micro vibrations.

The sensor interface 113 may interface a large amount of micro-vibration measurement data buffered at high speed in the high-speed buffering memory 112 in real time and transmit it to the gateway 200 by a short-range wireless communication method. Here, since a plurality of sensors are connected to one gateway to transmit data, respectively, a sensor interface can be configured in an RS-485 data transmission method that can connect a plurality of sensors to transmit data by ID.

The collapse detection sensor 110 of the present invention configured as described above is installed on the ground surface, side wall, or ceiling of the mine, and can measure the state of microvibration changes that appear in the rock before rock collapse, rockfall, etc. Through this, it can be used as a main element to provide an alarm to the manager and the operator according to the change of the micro-vibration state of the rock.

In addition, of course, the measurement range of the collapse detection sensor used in the present invention may vary depending on the frequency of the sensor used, the specification of the sensor, the arrangement of the sensor, the ground characteristics of the target area, and the like.

In addition, a broadband seismometer, a general geophone, or an accelerometer can be installed in consideration of the frequency band detected according to the distance between the sensors from the origin of the map. can In particular, in the case of arranging the sensor on the surface, the selection of the range is related to the required accuracy of the epicenter, so that the accuracy can be improved by increasing the sensor array area.

3 is a view showing a detailed configuration of the micro-vibration monitoring server in FIG. 1, and FIG. 4 is a view showing an example of a micro-vibration test layout and location tracking test results.

As shown, the micro-vibration monitoring server 300 of the present invention includes a micro-vibration data receiving unit 301, a parameter extracting unit 302, a micro-vibration generating point confirmation unit 303, a communication unit 304, It may include a control unit 305 , a microvibration database 306 , a crack mechanism analysis unit 307 , an object location recognition unit 308 , and an alarm signal generation unit 309 .

The micro-vibration data receiving unit 301 may receive the micro-vibration data that is integrally collected and transmitted by the gateway 200 . Here, the micro-vibration data may be micro-vibration measurement data measured in real time by a collapse detection sensor installed in each cell area to be monitored for collapse in the mine.

The parameter extracting unit 302 may extract several parameters, such as the number of occurrences, amplitude, and duration of micro vibrations, from one waveform measured from the micro vibration measurement data received by the micro vibration data receiving unit 301 . Accordingly, it may be possible to obtain various information from one signal. Here, the frequency band of the micro-vibration acoustic wave is 1 Hz to 1000 Hz, but depending on the geology and conditions, the main frequency may appear in a plurality of approximately 1 Hz to 1000 Hz.

The micro-vibration generating point check unit 303 may identify the micro-vibration generating point based on at least one or more various parameter information extracted by the parameter extracting unit 302 . For example, by analyzing one waveform measured from the micro-vibration measurement data, the position where the waveform started can be tracked, and the point where the first micro-vibration occurred can be identified.

The communication unit 304 may communicate with each component of the micro-vibration monitoring system for detecting the collapse of a mine mine to transmit/receive information required for micro-vibration monitoring for detecting the collapse of a mine or transmit a control signal.

The control unit 305 may transmit and receive a control signal to and from each component of the micro-vibration monitoring system for detecting the collapse of a mine pit to perform a series of overall control related to the micro-vibration monitoring for detecting the collapse of a mine pit.

The micro-vibration database 306 may store the micro-vibration measurement data for each cell area in the mine mine received in real time by the micro-vibration data receiving unit 301 as a database. That is, it is possible to store the micro-vibration measurement data measured by the collapse detection sensor installed in each cell area in the mine pit. At this time, the collapse detection sensor installed in each cell area in the mine can be assigned a unique number, and can store micro-vibration measurement data measured in real time by each sensor for each assigned unique number.

The occurrence crack mechanism analysis unit 307 is configured to perform a micro-vibration cracking mechanism based on at least one or more various parameter information extracted by the parameter extraction unit 302 and the micro-vibration occurrence point information identified by the micro-vibration occurrence point confirmation unit 303 . can be analyzed. For example, the micro-vibration cracking mechanism is analyzed based on information about the point where the first micro-vibration occurred, which is identified by analyzing multiple parameter information such as the number of occurrences of micro-vibrations, amplitude, and duration, and one waveform measured from the micro-vibration measurement data. can do.

When analyzing the microvibration cracking mechanism, the crack mechanism analysis unit 307 may analyze the state of changes in microvibrations appearing in the rock before rock collapse or rockfall occurs in the mine, based on the microvibration measurement data. Here, the micro-vibration change state analysis is performed, for example, in the micro-vibration measurement data change value among the micro-vibration measurement data for each cell area to be monitored for intra-pit collapse integrated received by the micro-vibration data receiving unit 301 exceeds a preset reference value. When one case occurs, it is determined that the mine mine collapse has started, and it is possible to request the generation of an alarm signal to the alarm signal generator 309 .

The object location recognition unit 308 may recognize location information of a worker or a work vehicle working in a mine shaft. In the identification of the location of an object located in the mine, such as a worker or a work vehicle, an anchor installed at a predetermined distance within the mine area may communicate with a tag installed on the worker's work hat or work vehicle to recognize the location of the object. Such an object recognition method will be described in more detail with reference to FIGS. 5 and 6 attached below.

As a result of analyzing the micro-vibration measurement data in the crack mechanism analysis unit 307, the warning signal generator 309 selects a preset reference value for the change value of the micro-vibration measurement data among the micro-vibration measurement data for each cell area subject to the mine collapse monitoring. If an alarm signal is requested due to an exceeding case, an alarm signal indicating the start of the mine mine collapse can be generated. The alarm signal for notifying the start of the mine mine collapse generated in this way may be transmitted through the alarm device 400 installed in the mine mine through the network.

In particular, the alarm signal generator 309 may receive location information of an object, such as a worker or a work vehicle, recognized by the object location recognition unit 308 when an alarm signal is generated, and based on the received location information of the object, the object in the mine is detected. An alarm device placed in the area where it is located can send out an alarm signal to signal the beginning of a collapse in the pit. Accordingly, the workers working in the mine can evacuate from the work site in the mine as soon as possible after hearing an alarm signal indicating the start of collapse of the mine.

In addition, as illustrated in the micro-vibration test layout (a) and the location tracking test result (b) of FIG. 4, the precision of the micro-vibration field test for prediction of ground collapse is about 24 m, within 30 m, and in the upper right corner from the vibration generating position. Although predicted, this can be interpreted as an error due to the velocity inhomogeneity of the ground and the limitation of the algorithm and receiver position.

5 is a diagram illustrating an example of a communication method between an anchor and a tag for object position recognition in the object position recognition unit of FIG. It is a drawing showing

As shown, the present invention can provide a location tracking and distance calculation algorithm using the measurement system distance information as a real-time location analysis and proximity detection algorithm. That is, in the communication flow between the anchor and the tag for calculating the location (distance), data communication with the anchor can be sequentially performed according to the order defined in the MCU firmware of the tag, and a plurality of anchors installed in the mine The distance information may be calculated by sequentially performing data communication once. Considering the length of the tunnel, the anchor is fixed, and multiple equipment can be installed in series and parallel. there is.

In addition, in the present invention, a real-time location tracking algorithm in a mine may be applied in order to locate the location of a vehicle and an operator in the mine in real time. In the positioning function, each anchor (leader) installed on the side wall or ceiling of the mine receives location-related data from the tag and processes the algorithm based on the received data to determine the exact location of the tag.

In particular, the number of anchors (readers) capable of receiving data from the tag varies according to the location of the tag attached to the vehicle or the operator, and different positioning algorithms may be applied according to the number of anchors that have received the location data of the tag. That is, the number of anchors that have received the location information of the tag can be divided into two, three, or more, respectively, and the applied positioning algorithms are as follows.

는 사전에 정의된 앵커의 좌표이고,

는 구하고자 하는 태그의 좌표이며,

는 각 앵커가 측정한 태그와의 거리일 수 있다. 즉, 태그의 데이터를 수신한 앵커가 2개, 3개, 4개 이상인 경우로 구분하고 연산 알고리즘을 적용해 태그의 위치를 측정할 수 있다.The tag positioning algorithm using the Pythagorean theorem and the equation of the common chord is as follows. For example, you can define the center of the tag as (0,0) coordinates,

is the coordinates of the predefined anchor,

is the coordinates of the tag to be retrieved,

may be the distance to the tag measured by each anchor. In other words, it is possible to classify the case where there are two, three, or four or more anchors that have received the data of the tag, and apply the calculation algorithm to measure the position of the tag.

First, the equation of a common string applied when data of a tag is received from two anchors may be expressed as Equation 1 below.

In addition, the equation of the common string applied when the data of the tag is received from the three anchors may be expressed as Equation 2 below.

In addition, the equation of the common string applied when the data of the tag is received from four or more anchors may be expressed as Equation 3 below.

When tag data is received from 4 or more anchors, the center coordinates of the result value can be calculated after positioning by selecting a combination of 3 anchors.

That is, when two anchors receive location data from a tag, when distance data with a tag is received from two anchors, a case where two circles do not meet or a case where they meet at a point according to a measurement distance between an anchor and a tag, and The calculation can be processed by considering each case for the case where two points meet. Here, the case where the two circles do not meet may be divided into a case where they do not meet outside, are contained within, or are concentric circles, and the case where two circles meet at a point may be divided into a circumscribed or inscribed case.

On the other hand, when three anchors receive location data from a tag, when distance data with a tag is received from three anchors, three strings can be drawn as shown in FIG. 5 according to the measured distance between the anchor and the tag, The position of the tag can be calculated as the point where three strings meet.

On the other hand, when 4 or more anchors receive location data from a tag, and when distance information from each tag is received from 4 or more anchors, 3 anchors are selected and each distance information from the tag is used according to the calculation formula can be positioned N tag coordinates may be obtained according to a combination of three anchors among four or more anchors receiving distance information from a tag, and a value calculated by calculating the center coordinates of the N coordinates may be determined as the final positioning value.

In particular, when the distance between positioning intersections is long and positioning accuracy is questioned, when the distance between coordinate values (intersections) calculated by three anchors is long, the final calculated position result of the tag may have a large error from the actual position. Therefore, in order to reduce the error, the accuracy of each intersection is checked, and the intersection below the standard is excluded from the calculation of the tag coordinates to ensure the accuracy.

Hereinafter, the real-time location tracking algorithm of the present invention will be described.

The real-time location tracking algorithm of vehicles and workers in the mine is the same as the two-way common chord equation based on the tag you have, but only the intersection point in the direction of the anchor outside can be displayed as coordinates.

When the distance information between the vehicle and the operator is detected only from one anchor (RF Reader), the location of the detection anchor and the location of the tag can be displayed in the same way, and the distance can be expressed in units of m.

In addition, when the two anchors detect the distance to the tracker, a basic equation such as Equation 4 below may be applied.

7 and 8 are diagrams illustrating a micro-vibration monitoring method for detecting collapse in a mine mine according to an embodiment of the present invention.

As shown, the micro-vibration monitoring server may determine whether micro-vibration measurement data in each cell area to be monitored for collapse of a mine is received, which is integrated and transmitted in real time from the gateway ( S10 ). In this case, the micro-vibration measurement data may be micro-vibration measurement data due to work in the mine or other causes measured by the collapse detection sensor installed in each cell area to be monitored for collapse in the mine mine.

Subsequently, when the micro-vibration monitoring server receives the micro-vibration measurement data that is collected and transmitted integrally in real time from the gateway, it may store at least one or more of the received micro-vibration measurement data in the micro-vibration database (S11).

Subsequently, the micro-vibration monitoring server may extract several parameters, such as the number of occurrences of micro-vibrations, amplitude, and duration, from one waveform measured in at least one or more micro-vibration measurement data received from the gateway (S12). Accordingly, it may be possible to obtain various information from one signal. Here, the frequency band of the micro-vibration acoustic wave is 1 Hz to 1000 Hz, but depending on the geology and conditions, the main frequency may appear in a plurality of approximately 1 Hz to 1000 Hz.

Subsequently, the micro-vibration monitoring server may identify a point where the micro-vibration occurs in the mine based on at least one or more various parameter information extracted in step S12 ( S13 ). For example, by analyzing one waveform measured from the micro-vibration measurement data, the position where the waveform started can be tracked, and the point where the first micro-vibration occurred in the mine can be identified.

Subsequently, the micro-vibration monitoring server may analyze the micro-vibration cracking mechanism based on at least one or more various parameter information extracted in step S12 and information on the point at which the micro-vibration identified in step S13 has occurred (S14). For example, the micro-vibration cracking mechanism is analyzed based on information about the point where the first micro-vibration occurred, which is identified by analyzing multiple parameter information such as the number of occurrences of micro-vibrations, amplitude, and duration, and one waveform measured from the micro-vibration measurement data. can do. At this time, when analyzing the micro-vibration cracking mechanism, it is possible to analyze the state of changes in micro-vibration appearing in the bedrock before the rock collapse or rockfall occurs in the pit based on the micro-vibration measurement data. Here, the micro-vibration change state analysis is performed, for example, in the case where the change value of the micro-vibration measurement data exceeds a preset reference value among the micro-vibration measurement data for each cell area to be monitored for intra-pit collapse, which is integratedly received. You can request to generate an alarm signal by judging that it has started.

Subsequently, the micro-vibration monitoring server determines whether the change value of the micro-vibration measurement data exceeds a preset reference value among the micro-vibration measurement data for each cell area subject to the mine collapse monitoring, which is received as a result of analyzing at least one or more micro-vibration measurement data (S15) can be done.

Subsequently, the micro-vibration monitoring server analyzes at least one or more micro-vibration measurement data, and as a result of the analysis of the at least one or more micro-vibration measurement data, among the micro-vibration measurement data for each cell area subject to the mine collapse monitoring, the change value of the micro-vibration measurement data exceeds a preset reference value. When is generated, it can be determined that the collapse of the mine has started (S16).

Subsequently, the micro-vibration monitoring server may recognize object location information such as a worker or a work vehicle working in a mine pit (S17). In this case, in order to determine the location of an object located in the mine shaft, such as a worker or a work vehicle, an anchor installed at a predetermined distance in the mine mine area communicates with a tag installed on the worker's working hat or the work vehicle to recognize the location of the object.

Subsequently, the micro-vibration monitoring server collects and transmits the micro-vibration measurement data for each cell area to be monitored in real-time integratedly in real time at the gateway. When it is determined as a start signal of collapse, an alarm signal may be generated (S18). At this time, the generated alarm signal for notifying the start of the mine mine collapsing may be transmitted through an alarm device installed in the mine mine through a network network.

In particular, the micro-vibration monitoring server can receive location information of an object such as a worker or a work vehicle recognized in step S17 when an alarm signal is generated, and based on the received location information of the object, an alarm device disposed in the area where the object in the mine is located. An alarm signal can be sent to inform the start of the collapse of the mine. Accordingly, the workers working in the mine can evacuate from the work site in the mine as soon as possible after hearing an alarm signal indicating the start of collapse in the mine.

As described above, although the present invention has been described with reference to limited embodiments and drawings, the present invention is not limited thereto, and the technical idea of the present invention and the following by those of ordinary skill in the art to which the present invention pertains. Of course, various modifications and variations are possible within the scope of equivalents of the claims to be described.

100: sensor interface board
110: collapse detection sensor
111: triggering module
112: high-speed buffering memory
113: sensor interface
200 : gateway
300: micro vibration monitoring server
301: micro vibration data receiving unit
302: parameter extraction unit
303: Micro-vibration point confirmation unit
304: communication department
305: control unit
306: micro vibration database
307: crack mechanism analysis unit
308: object position recognition unit
309: alarm signal generator
400: alarm device

Claims (4)

a sensor interface board installed on the ground surface, sidewall, or ceiling of a mine mine for each cell unit of a predetermined area;
a collapse detection sensor installed in a plurality of each of the sensor interface boards to measure the micro-vibration of the rock;
a gateway for collecting micro-vibration measurement data in each cell area measured by the plurality of collapse detection sensors;
a micro-vibration monitoring server that receives micro-vibration measurement data in each cell area collected by the gateway in real time through a network, analyzes the state of micro-vibration changes appearing in the bedrock, and predicts the collapse of the mine in advance; and
and an alarm device that transmits an alarm when receiving a pre-prediction warning signal for collapse of a mine mine from the micro-vibration monitoring server,
The micro-vibration monitoring server includes a micro-vibration data receiving unit, a parameter extraction unit, a micro-vibration occurrence point confirmation unit, a crack mechanism analysis unit and an object location recognition unit,
The micro-vibration data receiving unit receives the micro-vibration measurement data that is integratedly collected and transmitted by the gateway,
The parameter extracting unit extracts parameters of the number of occurrences, amplitude, and duration of microvibrations from one waveform measured from the data received by the microvibration data receiving unit,
The micro-vibration generating point confirmation unit identifies a point where the micro-vibration occurs based on at least one parameter information extracted by the parameter extracting unit,
The generated cracking mechanism analysis unit analyzes the microvibration cracking mechanism based on the at least one parameter information extracted from the parameter extracting unit and the point at which the microvibration occurred confirmed by the microvibration generating point confirmation unit, and the microvibration cracking mechanism Analyze the micro-vibration change state that appears in the mine based on the micro-vibration measurement data during analysis,
The object location recognition unit micro-vibration monitoring system for detecting the collapse of a mine mine, characterized in that the anchor installed at every predetermined distance within the mine area communicates with the worker's working hat or a tag installed on the vehicle to recognize the location of the object.
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