AU2017375855B2 - Acousto-electric and gas real-time automatic monitoring system and method for coal-rock dynamic disaster - Google Patents
Acousto-electric and gas real-time automatic monitoring system and method for coal-rock dynamic disaster Download PDFInfo
- Publication number
- AU2017375855B2 AU2017375855B2 AU2017375855A AU2017375855A AU2017375855B2 AU 2017375855 B2 AU2017375855 B2 AU 2017375855B2 AU 2017375855 A AU2017375855 A AU 2017375855A AU 2017375855 A AU2017375855 A AU 2017375855A AU 2017375855 B2 AU2017375855 B2 AU 2017375855B2
- Authority
- AU
- Australia
- Prior art keywords
- gas
- signals
- electromagnetic
- acousto
- sensor
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 73
- 239000011435 rock Substances 0.000 title claims abstract description 41
- 238000000034 method Methods 0.000 title abstract description 28
- 239000000523 sample Substances 0.000 claims abstract description 38
- 238000004891 communication Methods 0.000 claims abstract description 34
- 230000008859 change Effects 0.000 claims abstract description 24
- 238000005065 mining Methods 0.000 claims abstract description 18
- 238000001228 spectrum Methods 0.000 claims abstract description 18
- 239000003245 coal Substances 0.000 claims abstract description 15
- 230000002159 abnormal effect Effects 0.000 claims abstract description 12
- 230000000694 effects Effects 0.000 claims abstract description 10
- 230000005670 electromagnetic radiation Effects 0.000 claims abstract description 9
- 230000000087 stabilizing effect Effects 0.000 claims description 11
- 238000006243 chemical reaction Methods 0.000 claims description 10
- 230000003287 optical effect Effects 0.000 claims description 7
- 230000008569 process Effects 0.000 description 7
- 238000004519 manufacturing process Methods 0.000 description 5
- 230000005856 abnormality Effects 0.000 description 4
- 238000005553 drilling Methods 0.000 description 4
- 230000003068 static effect Effects 0.000 description 4
- 238000003860 storage Methods 0.000 description 4
- 238000011160 research Methods 0.000 description 3
- 230000035945 sensitivity Effects 0.000 description 3
- 230000001360 synchronised effect Effects 0.000 description 3
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000005520 cutting process Methods 0.000 description 2
- 238000013500 data storage Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 229910002092 carbon dioxide Inorganic materials 0.000 description 1
- 239000001569 carbon dioxide Substances 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000003795 desorption Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 238000001125 extrusion Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000010223 real-time analysis Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F17/00—Methods or devices for use in mines or tunnels, not covered elsewhere
- E21F17/18—Special adaptations of signalling or alarm devices
Landscapes
- Engineering & Computer Science (AREA)
- Mining & Mineral Resources (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- Geology (AREA)
- Arrangements For Transmission Of Measured Signals (AREA)
- Emergency Alarm Devices (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
- Investigating Or Analyzing Materials By The Use Of Ultrasonic Waves (AREA)
Abstract
A real-time automatic monitoring system and method for coal-rock power disaster acoustic-electricity gas, belonging to the field of mine safety and monitoring and control. The system is composed of an acoustic wave probe (1), an electromagnetic antenna (2), a gas sensor (3), a current sensor (4), a voltage sensor (5), an acoustic-electricity gas synchronization monitor (6), a communication substation (7), a substation power source (8), a monitoring centre machine (10), etc. The system receives acoustic waves, electromagnetic radiation and gas signals by means of the acoustic-electricity gas synchronization monitor (6), and can access the voltage sensor (5) to monitor the energization of a power cable and access the current sensor (4) to monitor the working of an electromechanical device. The system identifies the movement of the probe (1) and the antenna (2) and the mining activity through sudden changes of the acoustic waves, electromagnetic and gas signals and the characteristics of acoustic-electricity spectrum in combination with the changes of current and voltage signals. The system pre-warns an abnormal area in front of a working face and the danger of a coal-rock power disaster through effective acoustic waves and electromagnetic signal changes and spectrum characteristics in combination with gas signal change characteristics. The present invention can be applied to the monitoring of an abnormal area in front of a working face and the monitoring and pre-warning of coal and gas outbursts and rock bursts.
Description
Field of the Invention
[0001]The present invention relates to the field of mine safety, and monitoring and control, and in particular, to an acousto-electric and gas real-time automatic monitoring system and method for coal-rock dynamic disaster.
Description of Related Art
[0002]Coal-rock dynamic disasters of coal mines mainly include coal (rock) and gas (methane or carbon dioxide) outbursts, coal and gas extrusion, rock bursts, etc. As the mining depth and intensity increase, the coal-rock dynamic disasters such as gas outbursts and rock bursts become increasingly serious and complicated, and the danger of the disasters significantly rises. Moreover, problems of some mine shafts originally with no dynamic disasters or unobvious disaster symptoms gradually emerge, seriously threatening the life safety of underground workers and normal production of the mine.
[0003]At present, there are two prediction methods of the coal-rock dynamic disasters in in China: a static method and a dynamic method.
[0004]The static method mainly depends on drilling, and is implemented by monitoring some physical indicators in a borehole, including the multiplying power of drill cuttings, initial velocity of gas gushing from the borehole, gas desorption of the drill cuttings, and other comprehensive indicators. These values are not measured continuously in the static method, and the measurement needs to take up a certain period of operation time and operation space, thus resulting in a large work amount and long operation time, and bringing a certain influence to production. Safety during the operation is poor, and the drilling easily induces a dynamic disaster. The prediction accuracy is low, and is easily affected by manual operations and uneven coal distribution.
[0005]In the dynamic prediction method, signals regarding electromagnetic radiation, sound emission, microquake, gas gushing amount or gas concentration, and the like are monitored continuously, and then analysis and prediction are performed. The dynamic method is obviously superior to the static method, and has advantages of good signal continuity, a small influence on production during monitoring, and the like. However, the dynamic method has limitations on monitoring of individual signals. The microquake, underground sound, electromagnetic radiation, and gas are monitored individually. These monitoring operations have different adaptability and sensitivity to different environments and influence factors; and are subjected to different and severe interference from a mining and drilling technique, and movement of an electromechanical device and a monitoring sensor. Moreover, interference signals cannot be accurately identified.
[0006]In recent years, characteristics of the coal-rock electromagnetic radiation, acoustic wave emission (microquake, sound emission, infrasonic emission, ultrasonic emission, and the like), and gas gushing and their application researches have achieved great progress.
[0007]The researches show that, acoustic waves, electromagnetic radiation, and gas have a good response to the coal-rock dynamic disaster, but are not completely synchronized. The multiple signals are complementary, and the combination of the three can comprehensively reflect a stress-bearing, deformation and rupture process of a coal rock mass, gas occurrence and gushing, and an evolution process of a coal-rock dynamic disaster. The combination of solutions based on critical values and trends can pre-wam the danger of the coal-rock dynamic disaster. However, the multiple signals cannot be synchronously and rapidly monitored; the interference signals from the electromechanical device, mobile sensor, and mining activity cannot be automatically monitored and effectively identified; and it is difficult to identify effective signals, causing a high false alarm rate. Therefore, existing technology fails to realize multi-means, accurate and effective, and real-time automatic monitoring and pre-warning of coal-rock dynamic disasters in a mine shaft and a mining face; and needs to be further improved in identification accuracy of effective signals and pre-waming accuracy.
[0008]The researches show that, sudden changes of the acoustic waves and electromagnetic signals, and their specific spectrum characteristics can reflect the interference from the electromechanical device and sensor movement. Sudden changes
DESCRIPTION and attenuation of acousto-electric and gas signals can also reflect disturbance from mining. However, how to synchronously and automatically monitor and accurately identify various effective signals, interference signals, and technique processes, and how to automatically and effectively pre-warn the danger of the coal-rock dynamic disaster such as coal and gas outbursts based on change trends of multiple indicators and effective signals are issues that urgently need to be solved.
[0009]Inaddition, an abnormal area in front of the working face has a significant influence on safe and efficient production, and is a main area where the coal-rock dynamic disaster occurs. Currently, constructions in front of the working face, coal-rock gas changes, and other abnormalities are detected by means of drilling or geophysical prospecting, which has low accuracy in detection and identification of a small area or an area with a low degree of abnormality, a high influence on the mining activity, and poor real-time performance. Therefore, how to effectively monitor and identify the constructions, high stress, coal thickness changes, changes of coal-rock mass strength, and gas occurrence abnormality is another issue that urgently needs to be solved.
Technical Problem
[001O]In views of the demands and the problems in the prior art, the present invention provides an acousto-electric and gas real-time automatic monitoring system and method for coal-rock dynamic disaster. The system and the method can effectively, continuously, and remotely monitor, estimate, and pre-wam, in a noncontact manner, the load bearing, deformation and rupture process of the coal-rock mass on the mining face, a gas gushing process, abnormalities in an area in front of the working face, an evolution process of a coal-rock dynamic disaster, and effectiveness of actions. The device is conveniently assembled and operated; and has a high degree of automation and intelligence, no influence on production, and low costs.
Technical Solution
[0011]The objectives of the present invention are implemented as follows: The present invention includes an automatic monitoring system and method.
[0012]An acousto-electric and gas real-time automatic monitoring system for coal rock dynamic disaster includes an acoustic wave probe, an electromagnetic antenna, a gas sensor, a communication substation, a substation power source, an optical network, a monitoring centre machine, a monitoring terminal machine, a current sensor, a voltage sensor, and an acousto-electric and gas synchronization monitor. The acoustic wave probe, the electromagnetic antenna, the current sensor, the voltage sensor, and the gas sensor are connected to corresponding sensor input interfaces of the acousto-electric and gas synchronization monitor respectively. A communication interface of the acousto-electric and gas synchronization monitor is connected to an input end of the communication substation; and the communication substation is connected to the monitoring centre machine and the monitoring terminal machine via the optical network and an exchanger. The substation power source is connected to a voltage stabilizing circuit of the acousto electric and gas synchronization monitor; the acoustic wave probe, the electromagnetic antenna, the gas sensor, the current sensor, and the voltage sensor are connected to the acousto-electric and gas synchronization monitor to form a monitoring instrument; and a plurality of the monitoring instruments are arranged on an underground mining work surface or in a tunnel area that is to be monitored.
[0013]The acousto-electric and gas synchronization monitor includes an acoustic wave probe interface, an electromagnetic antenna interface, a gas sensor interface, a current sensor interface, a voltage sensor interface, signal conditioners, signal conversion circuits, a microprocessor, a data memory, a display, a communication interface, and the voltage stabilizing circuit. The acoustic wave probe interface is connected to an input end of an acoustic wave signal conditioner, and the electromagnetic antenna interface is connected to an input end of an electromagnetic signal conditioner. The gas sensor interface, the current sensor interface, and the voltage sensor interface are connected to corresponding signal conversion circuits respectively. Output ends of the signal conditioners and the signal conversion circuits are connected to an input end of the microprocessor. An input end of the communication interface, the display, a keyboard, and the data memory are all connected to anI/O interface of the microprocessor. An output end of the microprocessor is connected to the communication interface. The voltage stabilizing circuit provides a required DC power source for the acousto-electric and gas synchronization monitor and the sensors.
[0014]By use of the acousto-electric and gas real-time automatic monitoring system and method for coal-rock dynamic disaster, the acoustic wave probe, the electromagnetic antenna, and the gas sensor are mounted on positions to be monitored or on a working face. The current sensor and the voltage sensor are mounted on a power cable, and are respectively connected to corresponding sensor input interfaces of the acousto-electric and gas synchronization monitor. The communication substation, the substation power source, the exchanger, and the monitoring centre machine are connected. The acousto electric and gas synchronization monitor synchronously receives acoustic wave, electromagnetic, gas concentration, voltage, and current signals, and uploads the data to the monitoring centre machine in real time. The real-time signals and waveforms regarding acoustic waves, electromagnetic radiation, and gas concentration can synchronously reflect load bearing, deformation and rupture, gas gushing, signal waveform characteristics, and spectrum characteristics and changes of a coal-rock mass in front of the working face. The energization of the power cable is monitored by using the voltage signal and the working of an electromechanical device is monitored by using the current signal. The monitoring centre machine analyzes changes of these signals, and identifies interference from the electromechanical device, a mining activity, movement of the probe and antenna, and effective signals. When the monitored acoustic waves and electromagnetic signals suddenly change, the acousto-electric signal spectrum has characteristics generated from the interference from the electromechanical device, and the voltage and current signals also suddenly change, it indicates that the acoustic waves and electromagnetic signals are caused by the interference from the electromechanical device. When the monitored acoustic waves and electromagnetic signals suddenly change, the acousto-electric signal spectrum has characteristics generated from man-made sensor movement, and the voltage and current signals do not suddenly change, it indicates that the acoustic waves and electromagnetic signals are caused by the movement of the acoustic wave probe and the electromagnetic antenna. When the acoustic waves, electromagnetic and gas signals have characteristics of sudden abrupt growth and stable attenuation, it indicates that a mining activity is done on the working face. The monitored acoustic wave signals and electromagnetic signals are filtered to remove interference signals, to obtain effective acoustic wave signals and effective electromagnetic signals. An abnormal area in front of the working face and the danger of a coal-rock dynamic disaster such as coal and gas outbursts are pre-warned through changes of the effective
DESCRIPTION acoustic wave signals and effective electromagnetic signals, and spectrum characteristics in combination with gas signal change characteristics. When two or more of the effective acoustic wave signals, electromagnetic signals, and gas signals present a continuous or fluctuant growth trend, and also, the signal strength and trend change exceed corresponding critical values of abnormities in the area, it indicates that the area in front of the working face is abnormal in geology. When two or more of the effective acoustic wave signals, electromagnetic signals, and gas signals present a continuous or fluctuant growth trend, and also, the signal strength or trend change exceeds a corresponding critical value of the danger of a corresponding dynamic disaster, it indicates that the area in front of the working face has the danger of a dynamic disaster.
Advantageous Effect
[0015]The system and method of the present invention can monitor various signals, namely acousto-electric and gas signals, on the working face in an overall process; automatically identify effective signals and interference signals; automatically identify an abnormal area in front of a working face and pre-warn the danger of a coal-rock dynamic disaster through a change trend of effective acousto-electric and gas signals.
[0016]The present invention realizes integrated automatic monitoring of the acousto electric and gas signals, and ensures synchronous monitoring of effective signals. By accessing the voltage sensor to monitor the energization of a cable, and by accessing the current sensor to monitor the working of the electromechanical device, monitoring of electrification and working of the electromechanical device in a monitored area is realized, and automatic and real-time monitoring of all kinds of interference, such as electromagnetic radiation and acoustic waves is realized. The present invention can automatically identify interference signals and the movement of the probe and antenna through sudden changes of the acoustic waves and electromagnetic signals, and spectrum characteristics in combination with the monitoring results of current and voltage. Effective acoustic wave signals and effective electromagnetic signals can be obtained by means of monitoring, filtering, and data analysis. Through the changes of the effective acoustic wave signals and effective electromagnetic signals, and spectrum characteristics, the danger of a coal-rock dynamic disaster such as coal and gas outbursts can be automatically monitored and pre-warned, and further, an abnormal area in front of the working face can be identified and pre-warned, thus realizing real-time and automatic
DESCRIPTION monitoring and identification of the abnormal area in front of the working face. Therefore, the present invention can significantly enhance the degree of automatic monitoring of the danger of the coal-rock dynamic disaster, and further improve the pre-warning accuracy and reliability.
[0017]FIG. 1 is a monitoring flowchart of the present invention;
[0018]FIG. 2 is a layout diagram of monitoring instruments at the site of the present invention; and
[0019]FIG. 3 is a structural composition diagram of a system ofthepresent invention.
[0020]Meanings of numerals in the figures:
1. Acoustic wave probe; 2. Electromagnetic antenna; 3. Gas sensor; 4. Current sensor; 5. Voltage sensor; 6. Acousto-electric and gas synchronization monitor; 7. Communication substation; 8. Substation power source; 9. Optical network; 10. Monitoring centre machine; 11. Monitoring terminal machine; 12. Cable; and 13. Exchanger.
[0021]An instance of the present invention is further described below with reference to the accompanying drawings:
[0022]An acousto-electric and gas real-time automatic monitoring system for coal rock dynamic disaster includes an acoustic wave probe, an electromagnetic antenna, a gas sensor, a current sensor, a voltage sensor, an acousto-electric and gas synchronization monitor, a communication substation, a substation power source, an optical network, a monitoring centre machine, and a monitoring terminal machine. The acoustic wave probe 1, the electromagnetic antenna 2, the current sensor 4, the voltage sensor 5, and the gas sensor 3 are connected to corresponding sensor input interfaces of the acousto-electric and gas synchronization monitor 6 respectively. A communication interface of the acousto-electric and gas synchronization monitor 6 is connected to an input end of the communication substation 7; and the communication substation 7 is connected to the monitoring centre machine 10 and the monitoring terminal machine 11 via the optical
DESCRIPTION network 9 and an exchanger 13. The substation power source 8 is connected to a voltage stabilizing circuit of the acousto-electric and gas synchronization monitor 6. The acoustic wave probe 1, the electromagnetic antenna 2, the gas sensor 3, the current sensor 4, and the voltage sensor 5 are connected to the acousto-electric and gas synchronization monitor 6 to form a monitoring instrument. A plurality of the monitoring instruments are arranged on an underground mining work surface or in a tunnel area that is to be monitored.
[0023]The acousto-electric and gas synchronization monitor 6 includes an acoustic wave probe interface, an electromagnetic antenna interface, a gas sensor interface, a current sensor interface, a voltage sensor interface, signal conditioners, signal conversion circuits, a microprocessor, a data memory, a display, a communication interface, and the voltage stabilizing circuit. The acoustic wave probe interface is connected to an input end of an acoustic wave signal conditioner, and the electromagnetic antenna interface is connected to an input end of an electromagnetic signal conditioner. The gas sensor interface, the current sensor interface, and the voltage sensor interface are connected to corresponding signal conversion circuits respectively. Output ends of the signal conditioners and the signal conversion circuits are connected to an input end of the microprocessor. An input end of the communication interface, the display, a keyboard, and the data memory are all connected to an I/O interface of the microprocessor. An output end of the microprocessor is connected to the communication interface. The voltage stabilizing circuit provides a required DC power source for the acousto-electric and gas synchronization monitor and the sensors.
[ 0 024]Some composition parts are separately described below: 1. electromagnetic antenna, 2. acoustic wave probe, 3. signal conditioner, 4. acousto-electric and gas synchronization monitor, 5. voltage stabilizing circuit, 6. communication interface, 7. communication substation, and 8. monitoring centre machine.
[0025]1) Electromagnetic antenna
[0026]The electromagnetic antenna may be a broadband antenna or an ultra-low frequency antenna. The ultra-low frequency antenna has a transmission band of 30 Hz to 1000 Hz, and has high sensitivity and an orientation characteristic. The broadband antenna has an upper limit frequency of not less than 500 kHz and a bandwidth of not less than 500 kHz, and has high sensitivity and an orientation characteristic.
[0027]2) Acoustic wave probe
[0028]The acoustic wave probe may be a sound emission probe, an underground sound probe, or a microquake probe.
[0029]3) Signal conditioner
[0030]The signal conditioner is mainly used to amplify and filter signals received by the antenna and the probe, where the signals are amplified by an adjustable factor. An output of the signal conditioner is directly delivered to an AD converter of the microprocessor for conversion.
[0031]4) Acousto-electric and gas synchronization monitor
[0032]The acousto-electric and gas synchronization monitor is composed of the microprocessor, the signal conditioner, a signal converter, a display, a data memory, a signal output circuit, a power source, and keys; and implements synchronous collection, display, storage, and output of acoustic wave, electromagnetic, gas, current, and voltage signals and waveforms.
[0033]Key technical indicators are as follows:
[0034]a) anti-explosion mode: ExibI intrinsically safe mode;
[0035]b) frequency of a received electromagnetic signal: 30 Hz to 500 kHz
[0036]c) frequency of a received acoustic wave signal: 1 Hz to 100 kHz;
[0037]d) sampling rate: adjustable from 1 kHz to 1 MHz, to meet different requirements;
[0038]e) recording manner: the acousto-electric and gas synchronization monitor continuously and automatically performs processing, locally generates a log file, and outputs the same to a ground monitoring centre in real time; and
[0039]f) data storage: an SD/TF card is used as a storage device and has adata storage capacity of greater than 8 GB.
[0040]5) Voltage stabilizing circuit
[0041]This monitoring device is powered by an external power source, or may also be directly powered by a power source provided by the communication substation. The working voltage is 15 VDC to 32 VDC. A power module K7805 with wide input range
DESCRIPTION is used to provide a constant power supply of +5V for a digital circuit. A power module K7812 with wide input range is used to provide a constant power supply of +12V for the signal conditioner.
[0042]6) Communication interface
[0043]There are five signal output manners, which are an RS485 signal interface, a signal interface of 4 mA to 20 mA, a signal interface of 200 Hz to 1000 Hz, a CAN bus interface, and an Ethernet interface. These interfaces are applicable to different monitoring systems and can all be connected to the communication substation via a cable, to realize real-time transmission of test data to a monitoring centre.
[0044]7) Communication substation
[0045]The communication substation is an underground substation in a mine monitoring and control system; and can receive monitored data and waveform data from the acousto-electric and gas synchronization monitor and upload the data to the monitoring centre machine.
[0046]8) Monitoring centre machine
[0047]The monitoring centre machine is composed of a data storage server, a data real-time analysis server, a data backup server, and a system management server.
[0048]An automatic monitoring method of the present invention is described below:
[0049]The acousto-electric and gas synchronization monitor accesses the acoustic wave probe, the electromagnetic antenna, and the gas sensor, to synchronously receive real-time signals and waveforms regarding acoustic waves, electromagnetic radiation, and gas concentration. These signals and waveforms can synchronously reflect load bearing, deformation and rupture, gas gushing, signal waveform characteristics, and spectrum characteristics and changes of a coal-rock mass in front of a working face. The acousto-electric and gas synchronization monitor accesses the voltage sensor to monitor the energization of a power cable, and accesses the current sensor to monitor the working of an electromechanical device.
[0050]The interference from the electromechanical device, sensor movement, and the disturbance from mining on the working face are identified through sudden changes of the acoustic waves, electromagnetic and gas signals and the characteristics of acousto-
DESCRIPTION electric signal spectrum in combination with the monitoring results of current and voltage. Specifically, when the monitored acoustic waves and electromagnetic signals suddenly change, the acousto-electric signal spectrum has characteristics generated from the interference from the electromechanical device, and the voltage and current signals also suddenly change, it indicates that the acoustic waves and electromagnetic signals are caused by the interference from the electromechanical device. When the monitored acoustic waves and electromagnetic signals suddenly change, the acousto-electric signal spectrum has characteristics generated from the man-made sensor movement, and the voltage and current signals do not suddenly change, it indicates that the acoustic waves and electromagnetic signals are caused by the movement of the acoustic wave probe and the electromagnetic antenna. When the acoustic waves, electromagnetic and gas signals have characteristics of sudden abrupt growth and stable attenuation, it indicates that a mining activity is done on the working face. The monitored acoustic waves and electromagnetic signals are filtered to remove interference signals, to obtain effective acoustic wave signals and effective electromagnetic signals.
[0051]The acoustic wave probe, the electromagnetic antenna, and the gas sensor are mounted on positions to be monitored or on the working face. An effective reception direction of the electromagnetic antenna is aimed at a monitored area of a coal-rock mass, and the antenna is secured at a distance of not greater than 30m from the monitored area. A corresponding coupling and securing manner is selected for the acoustic wave probe according to its measuring frequency band, to monitor acoustic wave signals from the coal-rock mass. The gas sensor is arranged and mounted according to stipulations in Coal Mine Safety Regulations. The current sensor and the voltage sensor are mounted on the power cable of the electromechanical device in the monitored area. The antenna, probe, and various sensors are connected to corresponding interfaces of the acousto-electric and gas synchronization monitor. The communication substation, the substation power source, the exchanger, and the monitoring centre machine are connected. Based on the arrangement of the sensors at the site, working parameters of the acousto-electric and gas synchronization monitor, such as a monitoring channel, triggering manner, sampling frequency, storage scheme, communication manner, and the like are set by using keys of a remote controller and a display. These parameters may also be remotely set via software by the monitoring centre. The acousto-electric and gas synchronization monitor synchronously monitors the acoustic wave, electromagnetic, gas concentration, current,
I4
DESCRIPTION and voltage signals in the monitored area or the working face; and uploads the data to the monitoring centre machine. The monitoring centre machine analyzes changes of these signals; and identifies interference from the electromechanical device, a mining activity, and movement of the probe and antenna, and effective signals. An abnormal area in front of the working face and the danger of a coal-rock dynamic disaster such as coal and gas outbursts are pre-warned through changes of effective acoustic wave signals and effective electromagnetic signals, and spectrum characteristics in combination with gas signal change characteristics. When two or more of the effective acoustic wave signals, electromagnetic signals, and gas signals present a continuous or fluctuant growth trend, and also, the signal strength and trend change do not exceed corresponding critical values of abnormities in the area, it indicates that the area in front of the working face is abnormal in geology or stress. When two or more of the effective acoustic wave signals, electromagnetic signals, and gas signals present a continuous or fluctuant growth trend, and also, the signal strength or trend change exceeds a corresponding critical value of the danger of a corresponding dynamic disaster, it indicates that the area in front of the working face has the danger of a dynamic disaster.
Claims (2)
1. An acousto-electric and gas real-time automatic monitoring system for coal-rock dynamic disaster, comprising: an acoustic wave probe, an electromagnetic antenna, a gas sensor, a communication substation, a substation power source, an optical network, a monitoring centre machine, a monitoring terminal machine, an acousto-electric and gas synchronization monitor, a current sensor, and a voltage sensor; the acoustic wave probe, the electromagnetic antenna, the current sensor, the voltage sensor, and the gas sensor are connected to corresponding sensor input interfaces of the acousto-electric and gas synchronization monitor respectively; a communication interface of the acousto-electric and gas synchronization monitor is connected to an input end of the communication substation; and the communication substation is connected to the monitoring centre machine and the monitoring terminal machine via an exchanger and the optical network; the substation power source is connected to a voltage stabilizing circuit of the acousto-electric and gas synchronization monitor; the acoustic wave probe, the electromagnetic antenna, the gas sensor, the current sensor, and the voltage sensor are connected to the acousto-electric and gas synchronization monitor to form a monitoring instrument; and a plurality of the monitoring instruments are arranged on an underground mining work surface or in a tunnel area that is to be monitored,
wherein the acoustic wave probe, the electromagnetic antenna, and the gas sensor are mounted on positions to be monitored or on a working face; the current sensor and the voltage sensor are mounted on a power cable, and are respectively connected to corresponding sensor input interfaces of the acousto-electric and gas synchronization monitor; the communication substation, the substation power source, the exchanger, and the monitoring centre machine are connected; the acousto-electric and gas synchronization monitor synchronously receives acoustic wave, electromagnetic, gas concentration, voltage, and current signals, and uploads the data to the monitoring centre machine in real time; the real-time signals and waveforms regarding acoustic
waves, electromagnetic radiation and gas concentration synchronously reflect load
bearing, deformation and rupture, gas gushing, signal waveform characteristics, and
spectrum characteristics and changes of a coal-rock mass in front of the working face;
the energization of the power cable is monitored by using the voltage signal and the
working of an electromechanical device is monitored by using the current signal; the
monitoring centre machine analyzes changes of these signals, and identifies
interference from the electromechanical device, a mining activity, movement of the
probe and antenna, and effective signals; when the monitored acoustic waves and
electromagnetic signals suddenly change, the acousto-electric signal spectrum has
characteristics generated from the interference from the electromechanical device, and
the voltage and current signals also suddenly change, it indicates that the acoustic waves
and electromagnetic signals are caused by the interference from the electromechanical
device; when the monitored acoustic waves and electromagnetic signals suddenly
change, the acousto-electric signal spectrum has characteristics generated from man
made sensor movement, and the voltage and current signals do not suddenly change, it
indicates that the acoustic waves and electromagnetic signals are caused by the
movement of the acoustic wave probe and the electromagnetic antenna; when the
acoustic waves, electromagnetic and gas signals have characteristics of sudden abrupt
growth and stable attenuation, it indicates that a mining activity is done on the working
face; the monitored acoustic wave signals and electromagnetic signals are filtered to
remove interference signals, to obtain effective acoustic wave signals and effective
electromagnetic signals; an abnormal area in front of the working face and the danger
of a coal-rock dynamic disaster such as coal and gas outbursts are pre-warned through
changes of the effective acoustic wave signals and the effective electromagnetic signals,
and spectrum characteristics in combination with gas signal change characteristics;
when two or more of the effective acoustic wave signals, electromagnetic signals, and
gas signals present a continuous or fluctuant growth trend, and also, the signal strength
and trend change exceed corresponding critical values of abnormities in the area, it
indicates that the area in front of the working face is abnormal in geology; and when
two or more of the effective acoustic wave signals, electromagnetic signals, and gas
signals present a continuous or fluctuant growth trend, and also, the signal strength or
trend change exceeds a corresponding critical value of the danger of a corresponding
dynamic disaster, it indicates that the area in front of the working face has the danger
of a dynamic disaster.
2. The acousto-electric and gas real-time automatic monitoring system for coal-rock
dynamic disaster according to claim 1, wherein the acousto-electric and gas
synchronization monitor comprises an acoustic wave probe interface, an
electromagnetic antenna interface, a gas sensor interface, a current sensor interface, a
voltage sensor interface, signal conditioners, signal conversion circuits, a
microprocessor, a data memory, a display, a communication interface, and the voltage
stabilizing circuit; the acoustic wave probe interface is connected to an input end of an
acoustic wave signal conditioner, and the electromagnetic antenna interface is
connected to an input end of an electromagnetic signal conditioner; the gas sensor
interface, the current sensor interface, and the voltage sensor interface are connected to
corresponding signal conversion circuits respectively; output ends of the signal
conditioners and the signal conversion circuits are connected to an input end of the
microprocessor; an input end of the communication interface, the display, a keyboard,
and the data memory are all connected to an I/O interface of the microprocessor; an
output end of the microprocessor is connected to the communication interface; and the
voltage stabilizing circuit provides a required DC power source for the acousto-electric
and gas synchronization monitor and the sensors.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611138645.7A CN106761931B (en) | 2016-12-12 | 2016-12-12 | Coal rock dynamic disaster acoustic-electric gas real-time automatic monitoring system and method |
| CN201611138645.7 | 2016-12-12 | ||
| PCT/CN2017/110680 WO2018107932A1 (en) | 2016-12-12 | 2017-11-13 | Real-time automatic monitoring system and method for coal-rock power disaster acoustic-electricity gas |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| AU2017375855A1 AU2017375855A1 (en) | 2019-07-25 |
| AU2017375855B2 true AU2017375855B2 (en) | 2020-10-22 |
Family
ID=58880010
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2017375855A Active AU2017375855B2 (en) | 2016-12-12 | 2017-11-13 | Acousto-electric and gas real-time automatic monitoring system and method for coal-rock dynamic disaster |
Country Status (3)
| Country | Link |
|---|---|
| CN (1) | CN106761931B (en) |
| AU (1) | AU2017375855B2 (en) |
| WO (1) | WO2018107932A1 (en) |
Families Citing this family (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106761931B (en) * | 2016-12-12 | 2018-08-21 | 中国矿业大学 | Coal rock dynamic disaster acoustic-electric gas real-time automatic monitoring system and method |
| CN107448188B (en) * | 2017-10-12 | 2020-06-12 | 中国矿业大学 | Coal bed gas parameter while-drilling test method and device |
| CN107795336A (en) * | 2017-12-01 | 2018-03-13 | 中国矿业大学(北京) | Based on ranging and the coal-face calamity forecast system to test the speed |
| CN107725110A (en) * | 2017-12-01 | 2018-02-23 | 中国矿业大学(北京) | Based on ranging and the driving face calamity forecast system to test the speed |
| CN108798786A (en) * | 2018-07-17 | 2018-11-13 | 中国矿业大学(北京) | A kind of neutron radiation monitoring method for early warning of underground coal Instability of Rock Body dynamic disaster |
| CN108802825B (en) * | 2018-08-22 | 2023-06-16 | 河南理工大学 | Method and system for positioning dynamic disasters of infrasonic wave monitoring coal rock |
| CN109798106B (en) * | 2018-11-13 | 2022-09-20 | 辽宁工程技术大学 | Method for predicting risk of rock burst and prevention and treatment measures |
| CN109723493A (en) * | 2018-11-20 | 2019-05-07 | 山西宏安翔科技股份有限公司 | A kind of mine rock burst Real-time Detecting System for Microseism |
| CN109441547B (en) * | 2018-12-29 | 2024-03-19 | 煤炭科学技术研究院有限公司 | Real-time monitoring and early warning system and method for coal and gas outburst of mining working face |
| CN109915209A (en) * | 2019-02-25 | 2019-06-21 | 贵州省水利投资(集团)有限责任公司 | A kind of hydraulic tunnel crosses the coal and gas prominent monitoring and warning system in coal seam |
| CN109958475B (en) * | 2019-04-28 | 2023-07-07 | 贵州大学 | Microseismic sensor structure for identifying fine disturbance signals and identification method |
| CN110388232A (en) * | 2019-08-19 | 2019-10-29 | 贵州大学 | A kind of recoverable protrusion-dispelling real-time monitoring device being integrated with multisensor |
| CN111005766A (en) * | 2020-01-10 | 2020-04-14 | 福州大学 | Mine safety monitoring device and using method |
| CN111208555B (en) * | 2020-01-14 | 2023-03-14 | 山东科技大学 | Active and passive detection and positioning method for underground coal fire danger sound waves |
| CN111679330B (en) * | 2020-04-29 | 2023-03-14 | 中煤科工集团重庆研究院有限公司 | Integrated sensor for electromagnetic wave geological perspective and acoustic emission monitoring and excavation following monitoring method |
| CN113033874B (en) * | 2021-03-01 | 2024-05-28 | 中煤科工集团重庆研究院有限公司 | Automatic monitor and monitoring method for coal roadway tunneling working face protrusion sign |
| CN112983551A (en) * | 2021-04-02 | 2021-06-18 | 唐山市智明电子科技有限公司 | Monitoring system |
| CN113374525A (en) * | 2021-05-31 | 2021-09-10 | 贵州省矿山安全科学研究院有限公司 | Coal and gas outburst danger area identification comprehensive early warning method based on multi-parameter data fusion |
| CN114017121B (en) * | 2021-10-31 | 2022-09-16 | 中国矿业大学 | Rock burst real-time monitoring system and early warning method based on strain field |
| CN114060093A (en) * | 2021-11-24 | 2022-02-18 | 天地科技股份有限公司 | Rock burst data acquisition substation and acquisition method |
| CN114087023A (en) * | 2021-11-29 | 2022-02-25 | 贵州博益科技发展有限公司 | Method for detecting abnormal gas emission |
| CN114562334B (en) * | 2022-03-31 | 2023-06-30 | 北京科技大学 | Real-time visual monitoring and early warning system and method for mine roadway ventilation state |
| CN115898512A (en) * | 2022-11-10 | 2023-04-04 | 河南萱泽科技有限公司 | Digital intelligent analysis system and analysis method for gas control |
| CN115994845B (en) * | 2023-03-24 | 2023-06-30 | 山东省地质矿产勘查开发局八〇一水文地质工程地质大队(山东省地矿工程勘察院) | Mountain water treatment supervision method and system based on Internet |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203705666U (en) * | 2014-02-14 | 2014-07-09 | 徐州福安科技有限公司 | On-line dual channel acoustoelectric monitor device |
| CN106089304A (en) * | 2016-07-29 | 2016-11-09 | 邹平县供电公司 | A kind of based on stratum construction multifunctional electric control early warning communication system |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1288455C (en) * | 2004-11-19 | 2006-12-06 | 中国矿业大学 | Real time monitoring forecasting device of coal rock dynamic disaster and forecasting method |
| CN203452852U (en) * | 2013-08-27 | 2014-02-26 | 辽宁工程技术大学 | Mine dynamic disaster integrated early warning device |
| CN104018882B (en) * | 2014-05-20 | 2016-01-27 | 中国矿业大学 | A kind of distributed coal rock dynamic disaster current potential method of real-time and system |
| CN104088668B (en) * | 2014-06-30 | 2016-06-15 | 中国矿业大学 | The monitoring method of SLF electromagnetic induction monitoring early warning coal rock dynamic disaster |
| RU2573659C1 (en) * | 2014-07-04 | 2016-01-27 | Александр Юрьевич Грачев | Mine scanning aero gas monitoring system |
| CN205422816U (en) * | 2015-08-02 | 2016-08-03 | 葛帅帅 | Stope of coal mines working face rib image and temperature field synchronous sampling system |
| CN105673075A (en) * | 2016-01-13 | 2016-06-15 | 中国矿业大学(北京) | Coal and rock dynamic disaster multi-parameter wireless monitoring comprehensive early-warning technology and method |
| CN105840239B (en) * | 2016-04-05 | 2018-06-12 | 中国矿业大学 | The real-time active probe of the hidden disaster in mine and passive monitoring integration system and method |
| CN106761931B (en) * | 2016-12-12 | 2018-08-21 | 中国矿业大学 | Coal rock dynamic disaster acoustic-electric gas real-time automatic monitoring system and method |
-
2016
- 2016-12-12 CN CN201611138645.7A patent/CN106761931B/en active Active
-
2017
- 2017-11-13 AU AU2017375855A patent/AU2017375855B2/en active Active
- 2017-11-13 WO PCT/CN2017/110680 patent/WO2018107932A1/en active Application Filing
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203705666U (en) * | 2014-02-14 | 2014-07-09 | 徐州福安科技有限公司 | On-line dual channel acoustoelectric monitor device |
| CN106089304A (en) * | 2016-07-29 | 2016-11-09 | 邹平县供电公司 | A kind of based on stratum construction multifunctional electric control early warning communication system |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2018107932A1 (en) | 2018-06-21 |
| AU2017375855A1 (en) | 2019-07-25 |
| CN106761931B (en) | 2018-08-21 |
| CN106761931A (en) | 2017-05-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| AU2017375855B2 (en) | Acousto-electric and gas real-time automatic monitoring system and method for coal-rock dynamic disaster | |
| CN104018882B (en) | A kind of distributed coal rock dynamic disaster current potential method of real-time and system | |
| CN108802825B (en) | Method and system for positioning dynamic disasters of infrasonic wave monitoring coal rock | |
| CN106437854B (en) | Distributed coal rock dynamic disaster acoustic-electric synchronous monitoring system and method | |
| CN100510780C (en) | Network tunnel real time continuous leading preinforming method and device | |
| CN103777232A (en) | Deep rock mass rock blasting forecasting and early warning method based on blast vibration monitoring | |
| CN104088668B (en) | The monitoring method of SLF electromagnetic induction monitoring early warning coal rock dynamic disaster | |
| CN103529488A (en) | Mine roof and floor water inrush monitoring and prediction system and method | |
| CN103578229A (en) | Mine side slope deformation monitoring and early warning system and early warning method thereof | |
| CN111208555B (en) | Active and passive detection and positioning method for underground coal fire danger sound waves | |
| CN202230595U (en) | Multichannel data acquisition system used for vibrating wire transducers | |
| CN103115667A (en) | Vibration monitoring device based on sensors | |
| CN104533395A (en) | Mining intrinsically safe multi-point displacement meter | |
| CN114542186B (en) | Deep roadway support health monitoring method based on active and passive seismic electromagnetic fields | |
| CN103670362A (en) | Mine hydraulic drilling rig monitoring system | |
| CN104834012A (en) | Electromagnetic radiation monitoring early warning method of mine roof water inrush | |
| CN103306662B (en) | A kind of on-line monitoring and diagnosis system of all-hydraulic drill | |
| CN114810213A (en) | Multi-source information fusion intelligent early warning method and device for coal and gas outburst | |
| CN203362229U (en) | Strong rock burst tunnel micro-seismic monitoring system | |
| CN104101382A (en) | Monitoring device for health conditions of bridges and buildings | |
| CN102182515B (en) | Method for magnetically monitoring and forecasting deep surrounding rock burst losslessly in real time | |
| Zhang et al. | A multi-channel verification index to improve distinguish accuracy of target signals in rock burst monitoring of heading face | |
| CN204402467U (en) | A kind of mining intrinsic safety type multiple position extensometer | |
| CN101956566B (en) | Dynamic disaster monitoring substation of coal rock | |
| CN111350545A (en) | Mine dynamic disaster system and method based on multi-dimensional monitoring |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| DA3 | Amendments made section 104 |
Free format text: THE NATURE OF THE AMENDMENT IS: AMEND THE INVENTION TITLE TO READ ACOUSTO-ELECTRIC AND GAS REAL-TIME AUTOMATIC MONITORING SYSTEM AND METHOD FOR COAL-ROCK DYNAMIC DISASTER |
|
| FGA | Letters patent sealed or granted (standard patent) |