KR102290182B1 - Sensing data total monitoring system for sensing collapse of mine pit - Google Patents

Abstract

The present invention relates to a sensing data integrated measurement management system for detecting a collapse in a mine. More specifically, the present invention relates to the sensing data integrated measurement management system for detecting the collapse in the mine, which integrally manages pre-symptom measurement data of the collapse measured by a collapse detection sensor installed on the surface, a sidewall, or the ceiling of the mine. According to the present invention, data measured by various types of sensors installed according to a mine environment are transmitted as standardized data according to a predefined data format, and the data measured from the various sensors are processed and provided in a form required by a user or a manager. Therefore, the user or the manager intuitively recognizes the mine environment and a real-time situation in real time, so that an abnormal signal can be immediately dealt with. The sensing data integrated measurement management system for detecting the collapse in the mine according to the present invention comprises: a plurality of collapse detection sensors; a sensor node; a gateway; a sensing data integrated measurement management server; and an alarm device.

Description

SENSING DATA TOTAL MONITORING SYSTEM FOR SENSING COLLAPSE OF MINE PIT

The present invention relates to an integrated measurement and management system for sensing data for detecting collapse in a mine mine, and more particularly, to a mine shaft that integratedly manages pre-symptom measurement data of collapse measured by a collapse sensor installed on the surface, side wall, or ceiling of a mine mine. It relates to a sensing data integrated measurement management 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, in the related art, there is a problem in that the environment of various types of sensors installed in the mines cannot be set and the data measured from the sensors cannot be processed and provided in the form required by the user or the manager.

KR10-2026643B1

The present invention was devised to solve such a problem, and transmits data measured by various types of sensors installed according to the mine mine environment as standardized data according to a predefined data format, and transmits the data measured from various sensors to users or users. The purpose of this is to provide an integrated measurement and management system for sensing data for the detection of collapse in a mine so that it can be processed and provided in the form required by the manager.

According to one aspect of the sensing data integrated measurement and management system for detecting the collapse of a mine mine according to the present invention for achieving the above object, it is installed on the ground surface, side wall or ceiling of the mine according to the mine environment, and is installed for each cell unit of a predetermined area. A plurality of decay detection sensors that measure the pre-symptoms of collapse; a sensor node for receiving in real time the pre-symptomatic collapse data measured from the plurality of collapse detection sensors; a gateway for collecting pre-collapse measurement data in each cell area measured by the plurality of collapse detection sensors from the sensor node; a sensing data integrated measurement and management server for receiving and managing in real time the pre-collapse pre-sign measurement data in each cell area collected by the gateway through a network; and an alarm device that transmits an alarm sound when receiving an alarm signal notifying the start of collapse of a mine mine from the sensing data integrated measurement management server.

In addition, the collapse detection sensor is any one of a displacement sensor, an inclinometer sensor, and an Internet of Things-based geophone sensor according to the environment of the mine, and may measure the pre-signs of collapse appearing in the rock in the mine.

In addition, the pre-collapse measurement data in each cell area transmitted from the gateway may be standardized according to a predefined data format through a data collection and measurement program and transmitted to the sensing data integrated measurement management server.

In addition, the sensing data integrated measurement management server analyzes the pre-symptom state of collapse appearing in the bedrock based on the pre-symptom measurement data of collapse in each cell area collected by the gateway. As a result, the pre-symptom state value of collapse in a specific cell area When this preset reference value is exceeded, it may be determined that the collapse of the mine has started.

According to the present invention, data measured by various types of sensors installed according to the mine environment are transmitted as standardized data according to a predefined data format, and data measured from various sensors are processed into a form required by a user or manager. This has the effect of enabling users or managers to intuitively recognize the mine environment and real-time situation in real time, and to respond immediately when an abnormal signal occurs.

1 is a view showing the overall configuration of a sensing data integrated measurement management system for detecting collapse in a mine mine according to an embodiment of the present invention.
FIG. 2 is a diagram illustrating a detailed configuration of a data collection and measurement program of the gateway-side middleware in FIG. 1 .
3 is a diagram illustrating a definition of a format of measurement data transmitted from a gateway.
FIG. 4 is a diagram showing the detailed configuration of a user program and a server program of the sensing data integrated measurement management server in FIG. 1 .
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 an integrated measurement and management method of sensing data 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 sensing data integrated measurement management system for detecting collapse in a mine mine according to an embodiment of the present invention.

As shown, the sensing data integrated measurement and management system for detecting collapse in a mine shaft of the present invention includes a plurality of collapse detection sensors 100 installed in a mine shaft, a sensor node 200, a gateway 300, and an alarm. The device 500 and the sensing data integrated measurement management server 400 for transmitting and receiving data communication and control signals to and from the gateway 300 and the alarm device 500 through the network network may be included.

The collapse detection sensor 100 is installed for each cell unit of a predetermined area on the ground surface, side wall, or ceiling of the mine mine, and can measure the pre-signs of collapse appearing in the rock before the collapse of the rock in the mine, rockfall, etc. Pre-signal measurement data of collapse in each cell area may be transmitted to the gateway 300 by a short-range wireless communication method. Here, the collapse detection sensor 100 uses a displacement meter, inclinometer sensor, ICT, IoT-based geophone sensor, etc. depending on the environment in the mine to measure the pre-signs of collapse appearing in the rock before the collapse or rockfall of the rock in the mine occurs. can

The collapse detection sensor 100 is installed on the ground surface, side wall, or ceiling of the mine to measure the pre-signs of collapse appearing in the bedrock before rock collapse, rockfall, etc. It can be used as a main factor to provide an alarm according to the change of the state of the pre-symptom of

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.

The sensor node 200 may receive the pre-signal measurement data of collapse in each cell area measured by the collapse detection sensor 100 in real time and transmit it to the gateway 300 by a short-range wireless communication method. Here, in addition to the sensor node 200, using a data logger, the pre-signal measurement data of collapse in each cell area measured by the collapse sensor 100 can be received and stored in real time, or the stored data can be transmitted to the gateway 300. there is.

The gateway 300 may receive and collect pre-signal measurement data of collapse in each cell area measured by a plurality of collapse detection sensors 100 by a short-distance wireless communication method, and each cell collected collectively It is possible to transmit the measurement data of the pre-signs of collapse in the area to the sensing data integrated measurement management server 400 through the network.

The gateway 300 may transmit the integratedly collected pre-sign measurement data of collapse in each cell area to the sensing data integrated measurement management server 400 through a network using the gateway-side middleware. In particular, the gateway-side middleware can transmit the collected data to the server by standardizing the data through the measurement/collection program. Here, the measurement/collection program may be configured to be modular, and the modular configuration of the measurement/collection program will be described in more detail below.

In addition, the gateway 300 has a function of transmitting the sensing information collected from the sensor node 200 to the server through the installation of commercial network LTE-R, and is configured to mutually transmit and receive data through ZigBee wireless communication between each node and the gateway can have

Therefore, transmission/reception validation is required to determine the accuracy of the transmission/reception process of sensing information between the gateway 300 and the sensor node 200. For this, in the present invention, CRC16 (Cyclic Redundancy Check) is applied to the protocol to transmit data between each other. It is possible to provide a function to check the transmission error status of the city. In addition, the accelerometer and gyro sensor mounted on the integrated sensor can be configured to enable real-time information transmission in case of a disaster through a sensor node composed of a mesh.

In addition, the communication operation mode of the wireless communication device between the gateway 300 and the sensor node 200 is set to the API mode of the gateway 300 and the sensor node 200 is set to the transparent mode, It can be configured to facilitate communication.

In addition, unlike the sensor node 200, the gateway 300 must be compatible between devices for wireless systems other than the wireless communication device of the present invention. When configuring the Digi-Mesh Network by constructing an internal network, it is necessary to configure the communication method to continue the interconnection of the link without limiting the role of each node, so the application of transparent mode may be essential.

The sensing data integrated measurement management server 400 receives the pre-sign measurement data of collapse in each cell area integratedly collected by the gateway 300 in real time through the network, and the collapse of the rock on the ground surface, side wall or ceiling of the mine is received in real time. , it is possible to analyze the state of pre-signs of collapse appearing in the bedrock before rockfall, etc. occurs. As a result of the analysis, when the state value of the pre-signs of collapse in a specific cell region exceeds a 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 sensing data integrated measurement management server 400 may integrally manage the pre-signal measurement data of collapse in each cell area transmitted from the gateway 300 through the network. In addition, a user program 600 and a server program 700 for monitoring and managing location information of various types of sensors installed in the mine and sensing data measured by the sensors may be modularly installed in the server. The modular configuration of the user program 600 and the server program 700 will be described in more detail below.

The alarm device 500 is connected to the sensing data integrated measurement and management server 400 through a network network to receive an alarm signal notifying the collapse or start of collapse of the mine mine from the sensing data integrated measurement management server 400. An alarm sound indicating the start of the collapse may be transmitted at periodic intervals for a predetermined period of 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 500 .

FIG. 2 is a diagram illustrating a detailed configuration of a data collection and measurement program of the gateway-side middleware in FIG. 1 , and FIG. 3 is a diagram illustrating a definition of a measurement data format transmitted from the gateway.

As shown, the wireless sensor node and the gateway connected to various sensors installed in the mine may transmit data through wireless communication such as LoRa or ZigBee, and transmit the collected information to the server through wired communication. The wireless communication method may be configured differently depending on the field environment, but the gateway-side middleware can standardize the data through the data collection and measurement program and transmit the collected data to the server. In addition, in the data collection and measurement program, it can be determined whether the data measured from the sensor is normally transmitted according to the data format defined in FIG. 3 from the gateway, and the data processing process can be checked through the script.

Specifically, the data collection and measurement program of the gateway 300 for integrating the sensing data collected in the gateway and transmitting it to the server includes a gateway setting unit 301, a sensor information setting unit 302, and a sensing data integration unit ( 303), the sensed data real-time processing unit 304 and the sensing data storage unit 305 may include a modular configuration.

The gateway setting unit 301 may collect measurement data and set a gateway, for example, collect measurement data and set a gateway model name. In addition, communication method (TCP/IP, etc.) can be selected, and connection information of the sensor node or data logger such as IP address and port can be set. In addition, DB access information such as IP address, SID, user name and password can be set.

The sensor information setting unit 302 may set a unique number of each sensor installed in the mine, a channel number, a temperature channel number, and the like. In addition, the measurement data collection interval can be set, and the measurement interval can be controlled by the data logger and gateway. Also, it is possible to set a conversion expression for converting raw data into a physical quantity, such as converting a voltage into an angle or the like.

The sensing data integrator 303 may set communication for connection to a sensor node, data logger, and gateway using TCP/IP, and may receive measurement data stored in the sensor node, data logger, and gateway.

The sensed data real-time processing unit 304 may post-process the measurement data, for example, may convert the measurement data into a physical quantity or process validity checks such as a measurement maximum range check in real time.

The sensing data storage unit 305 may store measured data (raw data) and filtered physical quantity data respectively measured from various types of sensors in a database. In particular, the function of acquiring sensor information can check whether the database is connected to the database according to the data format defined for various sensors through a query.

As described above, in the present invention, in the mine safety management system integrated measurement management middleware, the integrated measurement management middleware program can be applied as sensing data monitoring measurement management software. That is, in the measurement and management of the mine safety management system, various sensors and location information in the mine can be provided to the end user through the UI software based on the web or CS program. The integrated metrology management middleware integrates the data collected from each sensor device to the gateway through a measurement program, and can play a role in transmitting the data to the server and processing the data in real time.

FIG. 4 is a diagram showing the detailed configuration of a user program and a server program of the sensing data integrated measurement management server in FIG. 1 .

As shown, the sensing data integrated measurement management server 400 of the present invention includes a management standard setting unit 401, a warning target setting unit 402, a measurement data inquiry unit 403, and a sensor information additional inquiry unit. 404 , communication unit 405 , control unit 406 , sensor measurement database 407 , project setting unit 408 , measurement data backup unit 409 , object location recognition unit 410 and alarm A signal generator 411 may be included. Here, the user program may include a modular configuration into a management standard setting unit 401 , a warning target setting unit 402 , a measurement data inquiry unit 403 , and a sensor information addition inquiry unit 404 . In addition, the server program may include a modular configuration into a project setting unit 408 , a measurement data backup unit 409 , an object position recognition unit 410 , and an alarm signal generator 411 .

The management standard setting unit 401 may set management standards of the user program. Here, the user program management standard setting may be divided into management stage setting, warning setting and release, and management standard copying. Specifically, in the management stage setting, the warning (maximum and minimum) stage can be set, and the standard character string, change rate interval, saving/modifying/deleting alarm type, etc. can be set. In addition, in setting and canceling the warning, it is possible to set saving/modification/deletion of short text, transmission interval, and monitoring interval. In addition, in the management standard copy, the management standards defined in advance for each sensor can be copied.

The warning target setting unit 402 may set a warning target in the user program. Here, the warning target setting may be divided into alarm target management by sensor, alarm sender management, and warning reference copy. Specifically, in the sensor-specific alert target management, administrator information to send a warning text can be input and e-mail/cell phone information can be stored/modified/deleted and managed. In addition, in the alert sender management, the alert sender can be managed by inputting the alert sender mobile phone number. In addition, in the warning standard copy, the alarm target can be copied for each sensor.

The measurement data inquiry unit 403 may inquire the measurement data in the user program. Here, the measurement data inquiry can be divided into data inquiry, graph inquiry, report inquiry, map information display, and display interval designation. Specifically, in data inquiry, measurement data can be displayed in a table. In addition, in the graph inquiry, measurement data can be expressed as a graph with multiple legends. In addition, in the report inquiry, measurement data and graphs can be expressed as a report with multiple legends. In addition, in the map information display, the map information can be expressed on the tunnel modeling map. In addition, in the display interval designation, the display time interval such as seconds, minutes, hours, days can be specified.

The sensor information addition inquiry unit 404 may add and inquire sensor information in a user program. Here, sensor information addition and inquiry can be divided into sensor addition, sensor deletion, and sensor event history management. Specifically, in adding a sensor, sensor information such as a sensor name, manufacturer, installation date/location/number/depth, and coordinates may be added or modified. In addition, in the sensor deletion, all related data such as sensor data and sensor specifications can be deleted and the sensor can be deleted. In addition, in sensor event history management, sensor event history management can be performed through addition/modification/deletion of sensor events, and maintenance and inspection of abnormal data can be displayed on a graph.

The communication unit 405 may communicate with each component of the sensing data integrated measurement and management system for detecting collapse in a mine to transmit/receive information required for integrated measurement and management of sensing data for detecting collapse in a mine or transmit a control signal.

The control unit 406 transmits and receives a control signal to and from each component of the sensing data integrated measurement and management system for detecting collapse in a mine to perform a series of overall control related to the integrated measurement and management of sensing data for detecting collapse in a mine.

The sensor measurement database 407 may store data measured from each sensor installed in each cell area within the mine as a database. That is, it is possible to store the measurement data of the pre-signs of collapse that appear in the bedrock before the collapse or rockfall of the rock in the mine, which is measured by the collapse detection sensor installed in each cell area in the mine shaft. At this time, the collapse detection sensor installed in each cell area within the mine mine may be assigned a unique number, and may store pre-signal measurement data of the collapse measured in real time by each sensor for each assigned unique number.

The project setting unit 408 may set a project for mine work, and field setting may be possible. For example, it is possible to add/modify/delete worksite names, site codes, location additions, etc. in the mine.

The measurement data backup unit 409 may back up at least one or more measurement data measured from various sensors in the mine. With this measurement data backup, the backed-up measurement data can be utilized when the previously stored measurement data is destroyed.

The object location recognition unit 410 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.

The warning signal generating unit 411 may determine a sensor warning based on the mine mine measurement data. For example, by determining whether the measurement data exceeds the management reference value, when the measurement data exceeds the management reference value, it is possible to generate an alarm signal. For example, if the change value of the pre-sign measurement data of collapse among the pre-signs of collapse measurement data for each cell area to be monitored for collapse within the mine exceeds the preset reference value, it is determined that the collapse of the mine has started and an alarm signal is issued. can cause In addition, an alarm message such as a short message or an e-mail may be generated and the alarm message may be transmitted to a field manager or operator terminal.

The alarm signal generating unit 411 may receive location information of an object, such as a worker or a work vehicle, recognized by the object location recognition unit 410 when an alarm signal is generated, and based on the received location information of the object, the area in which the object in the mine is located An alarm device placed in the pit can send out an alarm signal to indicate 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 of the mine.

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. In Table 1, the distance between the centers of two circles is denoted by d, and the length of the radius is denoted by r, r' (r > r'), respectively.

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 an integrated measurement and management method of sensing data for detecting collapse in a mine mine according to an embodiment of the present invention.

As shown, the sensing data integrated measurement management server may determine whether pre-signal measurement data of collapse in each cell area to be monitored for collapse in the mine has been received integratedly collected and transmitted in real time from the gateway ( S10 ). In this case, the pre-symptom measurement data of collapse in each cell region to be monitored for collapse in the mine may include at least one or more data measured by various types of sensors for detecting collapse in the mine, such as a displacement sensor and an inclination sensor.

Then, when the sensing data integrated measurement management server receives the pre-symptom measurement data that is collected and transmitted in real time from the gateway, at least one or more received pre-symptom measurement data can be stored in the sensor measurement database (S11). there is. In this case, the collapse pre-sign measurement data that is integratedly collected and transmitted in real time by the gateway may be transmitted to the server side only when it matches the data format predefined by the gateway-side middleware data collection and measurement program.

Subsequently, the sensing data integrated measurement management server may back up (S12) at least one or more pre-collapse pre-sign measurement data stored in the database in step S11 to a separate storage space. In this way, by backing up the data stored in the database in a separate storage space, even if the data stored in the database is lost due to an accident, it is possible to prevent a problem from occurring using the backed up data.

Subsequently, the sensing data integrated measurement management server may display (S13) each measurement data of the mine tunnel modeling map map information and the sensor when an inquiry request is generated from a user or an administrator. In this case, the expression time interval may be expressed at a predetermined time interval. In addition, the measurement data can be expressed as a table or as a graph with multiple legends according to the user's or manager's request, and the measured data and graph can be expressed as a report with multiple legends.

Subsequently, the sensing data integrated measurement management server may display (S14) the generated sensor event abnormal data when abnormal sensor event data is generated from any one sensor during tunnel monitoring. In this case, the location where the actual sensor event anomaly data is generated may be displayed by matching it on the tunnel modeling map. In addition, a user or an administrator can check and repair the occurrence of abnormal data, and display the inspection and repair result information on the corresponding location on the map.

Subsequently, the sensing data integrated measurement and management server analyzes at least one or more pre-signs of collapse measurement data, and as a result of the analysis of at least one pre-symptom of collapse measurement data, the change value of the pre-signs of collapse measurement data for each cell area to be monitored for collapse in the mine is set. It may be determined whether the reference value is exceeded (S15).

Subsequently, the sensing data integrated measurement and management server analyzes at least one or more pre-signs of collapse measurement data, and as a result of the analysis of at least one pre-symptom of collapse measurement data, the change value of the pre-signs of collapse measurement data for each cell area to be monitored for collapse in the mine is set. When a case exceeding the reference value occurs, it may be determined that the collapse of the mine mine has started (S16).

Subsequently, the sensing data integrated measurement management server may recognize object location information such as a worker or a work vehicle working in a mine shaft (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 sensing data integrated measurement management server collects and transmits integrated data from the gateway in real time, and among the measured data for each cell area subject to collapse monitoring, the change value of the pre-symptom measurement data of collapse exceeds a preset reference value. When it is determined that the mine mine collapse start signal is generated, 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 sensing data integrated measurement management 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 location information of the received object, an alarm placed in the area where the object in the mine is located The device can send out an alarm signal to indicate 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: collapse detection sensor
200: sensor node
300 : gateway
301: gateway setting unit
302: sensor information setting unit
303: sensing data integration unit
304: sensing data real-time processing unit
305: sensing data storage unit
400: sensing data integrated measurement management server
401: management standard setting unit
402: warning target setting unit
403: measurement data inquiry unit
404: sensor information additional inquiry unit
405: communication department
406: control unit
407: sensor measurement database
408: project setting unit
409: measurement data backup unit
410: object position recognition unit
411: alarm signal generator
500: alarm device
600: user program
700: server program

Claims (4)

A plurality of collapse detection sensors that are installed for each cell unit of a predetermined area on the ground surface, sidewall, or ceiling of the mine depending on the environment of the mine mine to measure the pre-symptoms of rock collapse;
a sensor node for receiving in real time the pre-symptomatic collapse data measured from the plurality of collapse detection sensors;
a gateway for collecting pre-collapse measurement data in each cell area measured by the plurality of collapse detection sensors from the sensor node;
a sensing data integrated measurement and management server for receiving and managing in real time the pre-collapse pre-sign measurement data in each cell area collected by the gateway through a network; and
and an alarm device that transmits an alarm sound when receiving an alarm signal notifying the start of the mine mine collapse from the sensing data integrated measurement management server,
Pre-collapse measurement data in each cell area transmitted from the gateway is transmitted to the sensing data integrated measurement management server only when it matches the data format predefined through the data collection and measurement program,
The sensing data integrated measurement management server includes an object location recognition unit and an alarm signal generating unit,
The object location recognition unit recognizes the location of the object by communicating with the worker's working hat or the tag installed on the vehicle, the anchor installed at every predetermined distance within the mine area,
The alarm signal generating unit receives the location information of the object recognized by the object location recognition unit, and transmits an alarm signal to an alarm device disposed in the area where the object in the mine is located based on the received location information of the object. Sensing data integrated measurement and management system for the detection of collapse in a mine.
The method according to claim 1,
The collapse detection sensor,
Sensing data integrated measurement management system for detecting collapse in a mine, characterized in that it measures the pre-signs of collapse appearing in the rock bed of the mine as any one of a displacement sensor, an inclinometer sensor, and an Internet of Things-based geophone sensor according to the environment of the mine .
delete The method according to claim 1,
The sensing data integrated measurement management server,
As a result of analyzing the pre-symptom status of collapse appearing in the bedrock based on the measurement data of pre-symptoms of collapse in each cell area collected by the gateway, if the state value of the pre-signs of collapse in a specific cell area exceeds a preset reference value, the mine mine Sensing data integrated measurement management system for detecting collapse in a mine, characterized in that it is determined that the collapse has started.

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