CN103104294A - Rock burst prediction method - Google Patents
Rock burst prediction method Download PDFInfo
- Publication number
- CN103104294A CN103104294A CN2013100402113A CN201310040211A CN103104294A CN 103104294 A CN103104294 A CN 103104294A CN 2013100402113 A CN2013100402113 A CN 2013100402113A CN 201310040211 A CN201310040211 A CN 201310040211A CN 103104294 A CN103104294 A CN 103104294A
- Authority
- CN
- China
- Prior art keywords
- drilling
- coal
- drill
- boring
- bump
- 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.)
- Granted
Links
Images
Landscapes
- Earth Drilling (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention discloses a rock burst prediction method. According to the method, a three-dimensional vibration-picking connecting sleeve (2) is fixedly connected between an electric coal drill (1) and a drilling rod (3), the three-dimensional vibration-picking connecting sleeve (2) is used for synchronously collecting three-dimensional vibration signals of the drilling rod in the drilling process, the vibration signals are wirelessly transmitted to a signal transceiver (6) for storage through a wireless radio frequency transceiver chip (5) on the three-dimensional vibration-picking connecting sleeve (2), a spectrum curve is output at an interval time T, the first 8 orders of master frequency of each spectrum curve are recorded, a changing curve of each order of master frequency along with the drilling depth or time is output, then the number of distortion points on the changing curve of each order of master frequency along with the drilling depth or time is used for predicting rock burst tendentiousness of a coal bed, and the amount of drilling cuttings and the vibration curves obtained in drilling are combined to predict rock burst comprehensively. By means of the method, impacting phenomena of drill sucking, drill clamping and drilling are digitalized, and accuracy of rock burst prediction is greatly improved.
Description
Technical field
The present invention relates to the Forecasting Methodology of a kind of mine bump or rock burst.
Background technology
Bump claims again rock burst, refers to roadway or work plane surrounding rock body, produces suddenly the violent dynamic phenomenon that destroys due to the instantaneous relase of elastic deformation energy, often with coal and rock dish out, the phenomenons such as loud noise and blast.It has very large destructiveness, is one of colliery disaster.Bump has omen before occuring, and main manifestations is: periodic weighting manifests acutely, cuts gugen kohle wall wall caving, up and down termination roof fall, and the speed of crushing increases; There is bit freezing when beating release big gun, pressure relief vent and inhales and bore phenomenon.
Generally, bump occurs in the area of stress concentration of getting working face.Its peak value is larger, and peak is nearer apart from rib, and the danger that bump occurs is larger.Before bump occurs, coal rock deformation is stagnated, and the roof and floor translational speed slows down, and coal is extruded by work plane and also slows down.The coal seam that is compressed and the top that deforms, base plate bear high pressure in the mode of elastic deformation, and accumulate a large amount of deformation energys.Can change by Deformation Monitoring acoustic emission and the microseismic activity that causes, just may infer the danger of burst degree.Accumulate energy many, shock hazard is just large.If repeatedly discharge, the small scale that discharges.Discharge if once concentrate, impact strong.
The Forecasting Methodology of bump except heuristic methods in the past, roughly can be divided into two classes.One class is take the drilling cuttings method as main partial detection method, comprises coal and rock deformation observation method, coal and rock stress measurement method, mobile rock noise detection method, rock cake method etc.These class methods are mainly used in surveying the danger of burst degree of digging partial section, and simple, intuitive and reliable, are used widely.But it is discontinuous on time, space, time-consuming that the shortcoming of these class methods is prediction work.
Equations of The Second Kind is system monitoring method, comprises rock noise system monitoring method and microseismic system monitoring method, and other geophysical methods, as: electromagnetic radiation, ground temperature, earth magnetism etc.These class methods are according to the dynamic phenomenon predicting rock burst precarious position that occurs in the recording occurring continuously coal and rock.The primary condition of institute's foundation is the dangerous destruction process of rock mass structure, is that series of physical phenomenon take leading appearance is as information.These class methods can realize the continuous monitoring on room and time.But adopt the method maintenance management more difficult, analyze data larger with the mechanical state difficulty of judging coal and rock, need through long term test, but a large amount of empirical datas ability of accumulation Accurate Prediction.
Therefore, develop a kind of moving parameter prediction method of bump drilling rod, adopt the pick-up device that these oscillation phenomenons are recorded when boring, just can judge whether shock hazard according to the characteristic value of a little oscillation phenomenons.Thereby the signal that perhaps the pick-up device is collected improves drilling cuttings method precision of prediction as the leading indicator of drilling cuttings method monitoring impulsion pressure, and coal mine safety prewarning degree meaning is obvious for improving.
Summary of the invention
In order to solve the problems of the technologies described above, the invention provides the Forecasting Methodology of the high bump of a kind of degree of accuracy.
The technical scheme that the present invention solves the problems of the technologies described above comprises the following steps:
1) connect checkout gear: an end of three-dimensional pick-up adapter sleeve is fixed on drilling rod, confirm signal transmitting and receiving between three-dimensional pick-up adapter sleeve and signal transmitting and receiving machine send normal after, with the other end and the electric coal drill socket of three-dimensional pick-up adapter sleeve, open the electric coal drill test running again;
Described three-dimensional pick-up adapter sleeve is composed of a fixed connection by linkage I and the linkage II at three dimension acceleration sensor and three dimension acceleration sensor two ends, is connected with the radio transceiver chip on the shell of described three dimension acceleration sensor; Be connected with the radio transceiver chip on the shell of signal transmitting and receiving machine, described linkage I and electric coal drill socket, linkage II and drilling rod are affixed.
2) prebored hole: at non-high stress concentrations district's prebored hole 1m and collect the coal dust amount, the record boring required time of 1m, should the time round divided by 15 the spectrum curve output gap time that obtains
TThe three-dimensional vibrating situation of drilling rod when during boring, the three dimension acceleration sensor synchronous acquisition creeps into, the three-dimensional acceleration signal that on the three dimension acceleration sensor shell, fixing radio transceiver chip I collects three dimension acceleration sensor is transferred on signal transmitting and receiving machine with radio transceiver chip II and stores, and the data signal that is stored on the signal transmitting and receiving machine obtains the master oscillator frequenc of data signal and forms the rumble spectrum curve after the frequency spectrum module Spectrum Conversion on the signal transmitting and receiving machine.
3) boring and signals collecting: start drill hole of drilling machine, the three-dimensional vibrating of drilling rod when during boring, the three dimension acceleration sensor synchronous acquisition creeps into was transferred to the three-dimensional acceleration signal on the signal transmitting and receiving machine by radio transceiver chip I and stores, at interval of the time
TExport a spectrum curve, record the front 8 rank master oscillator frequencs of each spectrum curve, export every rank master oscillator frequenc in time or the drilling depth change curve; Stop creeping into after every boring 1m, and collect the coal dust amount.
4) prediction of bump: for there is no normally creeping into of bump, the extensional vibration of drilling rod and oscillation crosswise are equivalent to the beam vibration mechanical model of two ends freely-supported, and when bit freezing, be equivalent in beam certain point and increase the radial displacement that an intermediate support limits this point, the oscillation crosswise frequency during bit freezing can obviously increase, and namely reveals distortion at " oscillation crosswise frequency-drilling depth " curve table; And when drilling hole burst occured, the end condition of drilling rod extensional vibration changed, and the extensional vibration frequency during drilling hole burst also can obviously increase, and namely shows equally distortion at " extensional vibration frequency-drilling depth " curve;
Therefore, resulting rumble spectrum curve generalization predicting rock burst during prebored hole according to master oscillator frequenc in step 3) in time or the bump-prone property in the distortion point number measurable coal seam of drilling depth change curve, then in conjunction with coal powder quantity of bore and step 2).
Further, the acceleration transducer described in step 1) adopts the piezoelectric acceleration transducer of built-in charge amplifier, and drilling rod adopts twist drill rods, and electric coal drill adopts electric coal drill required when boring φ 42 ~ 50mm boring in high-stress coal.
The invention has the beneficial effects as follows: the impact taxis of predicting coal body according to three parameters such as coal powder quantity of bore, the horizontal master oscillator frequenc of drilling rod and the vertical master oscillator frequenc of drilling rod, with the auxiliary parameter in the drilling cuttings method (inhaling brill, bit freezing and drilling hole burst phenomenon) digitlization, avoided pressing because of operating personnel's error of omission the phenomenon of failing to judge in the construction of drilling cuttings method with causing impact; Simultaneously, the master oscillator frequenc of drilling rod vibration as main Prediction Parameters, has improved the accuracy of Prediction of Rock Burst greatly when creeping into.
Description of drawings
Fig. 1 is the structure chart of device that the inventive method adopts.
In figure: 1, electric coal drill, 2, three-dimensional pick-up adapter sleeve, 3, twist drill rods, 4, drill bit, 5, radio transceiver chip I, 6, the signal transmitting and receiving machine, 7, radio transceiver chip II, 21, linkage I, 22, three dimension acceleration sensor, 21, the linkage II.
The specific embodiment
Below in conjunction with accompanying drawing 1 and the specific embodiment, the present invention is described in further detail.
A kind of Forecasting Methodology of bump, its step is as follows:
1) connect checkout gear: an end of three-dimensional pick-up adapter sleeve 2 is fixed on drilling rod 3, the signal transmitting and receiving of confirming 6, three-dimensional pick-up adapter sleeve 2 and signal transmitting and receiving machine send normal after, with the other end and electric coal drill 1 socket of three-dimensional pick-up adapter sleeve 2, open electric coal drill 1 test running again;
Described three-dimensional pick-up adapter sleeve 2 is composed of a fixed connection by linkage I 21 and the linkage II 23 at three dimension acceleration sensor 22 and three dimension acceleration sensor two ends, has been provided with wireless rf chip I 5 in described three dimension acceleration sensor 22; Be provided with radio transceiver chip II 7 in signal transmitting and receiving machine 6, described linkage I 21 and electric coal drill 1 socket, linkage II 23 is affixed with drilling rod 3;
Described acceleration transducer 22 adopts the piezoelectric acceleration transducer of built-in charge amplifier, and drilling rod 3 adopts twist drill rods, and electric coal drill adopts electric coal drill required when boring φ 42 ~ 50mm boring in high-stress coal.
2) prebored hole: at non-high stress concentrations district's prebored hole 1m and collect the coal dust amount, the record boring required time of 1m, should the time round divided by 15 the spectrum curve output gap time that obtains
TThe three-dimensional vibrating situation of drilling rod 3 when during boring, three dimension acceleration sensor 22 synchronous acquisitions creep into, the three-dimensional acceleration signal that on three dimension acceleration sensor 22 shells, fixing radio transceiver chip I 5 collects three dimension acceleration sensor 22 is transferred to storage on the signal transmitting and receiving machine 6 of radio transceiver chip II 7, and the data signal that is stored on signal transmitting and receiving machine 6 obtains the master oscillator frequenc of data signal and forms the rumble spectrum curve after the frequency spectrum module Spectrum Conversion on the signal transmitting and receiving machine.
3) boring and signals collecting: at first 3.5 times according to mining height round definite drilling depth and prepare drilling rod and the screw-type adapter sleeve, start drill hole of drilling machine after everything in readiness, the three-dimensional vibrating of drilling rod when during boring, three dimension acceleration sensor 22 synchronous acquisitions creep into, the three-dimensional acceleration signal is transferred to storage on signal transmitting and receiving machine 6 by radio transceiver chip I 5, at interval of the time
TExport a spectrum curve, record the front 8 rank master oscillator frequencs of each spectrum curve, export every rank master oscillator frequenc in time or the drilling depth change curve; Stop creeping into after every boring 1m, and collect the coal dust amount;
4) prediction of bump: for there is no normally creeping into of bump, the extensional vibration of drilling rod and oscillation crosswise are equivalent to the beam vibration mechanical model of two ends freely-supported, and when bit freezing, be equivalent in beam certain point and increase the radial displacement that an intermediate support limits this point, the oscillation crosswise frequency during bit freezing can obviously increase, and namely reveals distortion at " oscillation crosswise frequency-drilling depth " curve table; And when drilling hole burst occured, the end condition of drilling rod extensional vibration changed, and the extensional vibration frequency during drilling hole burst also can obviously increase, and namely shows equally distortion at " extensional vibration frequency-drilling depth " curve;
Therefore, resulting rumble spectrum curve generalization predicting rock burst during prebored hole according to master oscillator frequenc in step 3) in time or the bump-prone property in the distortion point number measurable coal seam of drilling depth change curve, then in conjunction with coal powder quantity of bore and step 2).
Claims (4)
1. the Forecasting Methodology of a bump, the steps include:
1) connect checkout gear: an end of three-dimensional pick-up adapter sleeve (2) is fixed on drilling rod (3), and electric coal drill (1) test running is opened in the other end and electric coal drill (1) socket;
Described three-dimensional pick-up adapter sleeve (2) is composed of a fixed connection by linkage I (21) and the linkage II (23) at three dimension acceleration sensor (22) and three dimension acceleration sensor two ends, is connected with radio transceiver chip I (5) on the shell of described three dimension acceleration sensor (22); Be connected with radio transceiver chip II (7) on the shell of signal transmitting and receiving machine (6);
2) prebored hole: at non-high stress concentrations district's prebored hole 1m and collect the coal dust amount, the record boring required time of 1m, should the time round divided by 15 the rumble spectrum curve output gap time that obtains
TThe three-dimensional vibrating situation of three dimension acceleration sensor during boring (22) drilling rod (3) when synchronous acquisition creeps into, the three-dimensional acceleration signal that radio transceiver chip I (5) collects three dimension acceleration sensor (22) is transferred to the upper storage of the signal transmitting and receiving machine (6) of radio transceiver chip II (7), and the data signal that is stored on signal transmitting and receiving machine (6) obtains the master oscillator frequenc of data signal and forms the rumble spectrum curve after the frequency spectrum module Spectrum Conversion on the signal transmitting and receiving machine;
3) boring and signals collecting: start drill hole of drilling machine, the three-dimensional vibrating of three dimension acceleration sensor during boring (22) drilling rod (3) when synchronous acquisition creeps into, the three-dimensional acceleration signal is transferred to the upper storage of signal transmitting and receiving machine (6) by radio transceiver chip I (5), at interval of the time
TExport a spectrum curve, record the front 8 rank master oscillator frequencs of each spectrum curve, export every rank master oscillator frequenc in time or the drilling depth change curve; Stop creeping into after every boring 1m, and collect the coal dust amount;
4) prediction of bump: according to master oscillator frequenc in step 3) in time or the bump-prone property in the distortion point number measurable coal seam of drilling depth change curve, then in conjunction with coal powder quantity of bore and step 2) resulting rumble spectrum curve generalization predicting rock burst during prebored hole.
2. the Forecasting Methodology of a kind of bump as claimed in claim 1, the acceleration transducer described in step 1) (22) adopts the piezoelectric acceleration transducer of built-in charge amplifier.
3. the Forecasting Methodology of a kind of bump as claimed in claim 1, the drilling rod described in step 1) (3) adopts twist drill rods.
4. the Forecasting Methodology of a kind of bump as claimed in claim 1, the electric coal drill described in step 1) (1) adopt electric coal drill required when boring φ 42 ~ 50mm boring in high-stress coal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310040211.3A CN103104294B (en) | 2013-02-01 | 2013-02-01 | Rock burst prediction method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310040211.3A CN103104294B (en) | 2013-02-01 | 2013-02-01 | Rock burst prediction method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103104294A true CN103104294A (en) | 2013-05-15 |
| CN103104294B CN103104294B (en) | 2015-05-27 |
Family
ID=48312459
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310040211.3A Active CN103104294B (en) | 2013-02-01 | 2013-02-01 | Rock burst prediction method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103104294B (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106150476A (en) * | 2015-04-09 | 2016-11-23 | 中国石油化工股份有限公司 | A kind of system of the viscous suction bit freezing risk predicting drill string |
| CN106522950A (en) * | 2016-10-20 | 2017-03-22 | 山东科技大学 | Method for monitoring rock burst risk of soft coal roadway posterior |
| CN107589026A (en) * | 2017-09-05 | 2018-01-16 | 辽宁工程技术大学 | A kind of bump analogue means and wireless data acquisition system |
| CN110486007A (en) * | 2019-08-29 | 2019-11-22 | 武汉长盛煤安科技有限公司 | Coal mine is with brill rock reaction force in-situ testing device and method |
| CN110905402A (en) * | 2019-11-13 | 2020-03-24 | 山东科技大学 | Pressure relief hole construction method based on mining induced stress dynamic monitoring |
| CN111325461A (en) * | 2020-02-18 | 2020-06-23 | 山东科技大学 | Real-time evaluation method for coal seam impact risk based on vibration monitoring technology |
| CN111551624A (en) * | 2020-04-21 | 2020-08-18 | 山东科技大学 | Device and method for predicting coal rock burst through hydrogen bond rupture |
| CN112483185A (en) * | 2020-12-18 | 2021-03-12 | 山东科技大学 | Method for observing rock burst danger range under three-dimensional coal pillar |
| CN112523807A (en) * | 2020-12-18 | 2021-03-19 | 山东科技大学 | Three-dimensional coal pillar transfer force display observation method for impact roadway area |
| CN114483024A (en) * | 2022-04-18 | 2022-05-13 | 中国矿业大学(北京) | Rock burst grade in-situ evaluation and control design method |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2274667A (en) * | 1993-02-01 | 1994-08-03 | Baker Hughes Inc | Methods for analysis of drillstring vibration using torsionally induced frequency modulation |
| CN1236859A (en) * | 1999-05-26 | 1999-12-01 | 石油大学(北京) | Clamping band for collecting vibration signals of drilling rod |
| CN1912349A (en) * | 2006-08-11 | 2007-02-14 | 成云海 | Mounting method for deep hole microseismic monitoring sensor of coal mine |
| CN101963071A (en) * | 2010-09-14 | 2011-02-02 | 北京安科兴业科技有限公司 | Equivalent drilling cuttings weight continuous monitoring device and method |
| CN202039772U (en) * | 2011-05-16 | 2011-11-16 | 辽宁工程技术大学 | Rock burst predicting device according to temperature of coal dust of drill hole |
| CN102288343A (en) * | 2011-05-16 | 2011-12-21 | 辽宁工程技术大学 | Drilling-torque coal layer rock burst predicting device and predicting method thereof |
-
2013
- 2013-02-01 CN CN201310040211.3A patent/CN103104294B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2274667A (en) * | 1993-02-01 | 1994-08-03 | Baker Hughes Inc | Methods for analysis of drillstring vibration using torsionally induced frequency modulation |
| CN1236859A (en) * | 1999-05-26 | 1999-12-01 | 石油大学(北京) | Clamping band for collecting vibration signals of drilling rod |
| CN1912349A (en) * | 2006-08-11 | 2007-02-14 | 成云海 | Mounting method for deep hole microseismic monitoring sensor of coal mine |
| CN101963071A (en) * | 2010-09-14 | 2011-02-02 | 北京安科兴业科技有限公司 | Equivalent drilling cuttings weight continuous monitoring device and method |
| CN202039772U (en) * | 2011-05-16 | 2011-11-16 | 辽宁工程技术大学 | Rock burst predicting device according to temperature of coal dust of drill hole |
| CN102288343A (en) * | 2011-05-16 | 2011-12-21 | 辽宁工程技术大学 | Drilling-torque coal layer rock burst predicting device and predicting method thereof |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106150476B (en) * | 2015-04-09 | 2019-04-30 | 中国石油化工股份有限公司 | A kind of system of viscous suction bit freezing risk that predicting drill string |
| CN106150476A (en) * | 2015-04-09 | 2016-11-23 | 中国石油化工股份有限公司 | A kind of system of the viscous suction bit freezing risk predicting drill string |
| CN106522950A (en) * | 2016-10-20 | 2017-03-22 | 山东科技大学 | Method for monitoring rock burst risk of soft coal roadway posterior |
| CN107589026B (en) * | 2017-09-05 | 2020-09-11 | 辽宁工程技术大学 | Rock burst simulator |
| CN107589026A (en) * | 2017-09-05 | 2018-01-16 | 辽宁工程技术大学 | A kind of bump analogue means and wireless data acquisition system |
| CN110486007A (en) * | 2019-08-29 | 2019-11-22 | 武汉长盛煤安科技有限公司 | Coal mine is with brill rock reaction force in-situ testing device and method |
| CN110486007B (en) * | 2019-08-29 | 2023-02-03 | 武汉长盛煤安科技有限公司 | In-situ testing device and method for mechanical parameters of coal mine surrounding rock while drilling |
| CN110905402A (en) * | 2019-11-13 | 2020-03-24 | 山东科技大学 | Pressure relief hole construction method based on mining induced stress dynamic monitoring |
| CN111325461A (en) * | 2020-02-18 | 2020-06-23 | 山东科技大学 | Real-time evaluation method for coal seam impact risk based on vibration monitoring technology |
| CN111325461B (en) * | 2020-02-18 | 2022-03-08 | 山东科技大学 | Real-time evaluation method for coal seam impact risk based on vibration monitoring technology |
| CN111551624A (en) * | 2020-04-21 | 2020-08-18 | 山东科技大学 | Device and method for predicting coal rock burst through hydrogen bond rupture |
| CN112483185A (en) * | 2020-12-18 | 2021-03-12 | 山东科技大学 | Method for observing rock burst danger range under three-dimensional coal pillar |
| CN112523807A (en) * | 2020-12-18 | 2021-03-19 | 山东科技大学 | Three-dimensional coal pillar transfer force display observation method for impact roadway area |
| CN114483024A (en) * | 2022-04-18 | 2022-05-13 | 中国矿业大学(北京) | Rock burst grade in-situ evaluation and control design method |
| CN114483024B (en) * | 2022-04-18 | 2022-07-15 | 中国矿业大学(北京) | Rock burst grade in-situ evaluation and control design method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103104294B (en) | 2015-05-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103104294B (en) | Rock burst prediction method | |
| CN105179018B (en) | A kind of coal mine rock burst detection method | |
| CN106779231B (en) | A kind of coal mine gob hurricane disaster method for early warning based on goaf pressure monitoring | |
| CN104653226B (en) | A kind of division methods of the coal mine rock burst danger zone based on stress gradient | |
| CN105116440B (en) | A kind of slope rock mass monitoring system and monitoring method | |
| CN103737589B (en) | The comprehensive gaging hole robot of rock mass engineering project wireless remote control | |
| CN102506993A (en) | Coal mine downhole country rock slight shock detection method | |
| CN103777232A (en) | Deep rock mass rock blasting forecasting and early warning method based on blast vibration monitoring | |
| CN102644482A (en) | Rock burst predicting and warning method | |
| CN202300529U (en) | Slight shock monitoring sensor arrangement structure in deeply buried long tunnel boring machine (TBM) tunneling process | |
| CN110486007A (en) | Coal mine is with brill rock reaction force in-situ testing device and method | |
| CN105781620B (en) | Dynamic disaster method for early warning based on roadway surrounding rock rupture via hole monitoring | |
| CN101950035B (en) | Rock burst and mine earthquake real-time monitoring system and method | |
| CN111077576A (en) | Ground fracturing monitoring method | |
| CN102997886A (en) | Monitoring method for remotely measuring and controlling damage depths of floor strata | |
| CN105765409A (en) | Method and system for measuring relative changes in stress concentration in front of a longwall | |
| CN104989389A (en) | Coal mass strength distribution characteristic continuous detecting method and device | |
| CN104697683A (en) | Dynamic disaster mine anchor rock stability integrated detection method and system | |
| CN104832163A (en) | Method for monitoring rock burst dangerousness in coal underground mining process | |
| CN114594220B (en) | Coal mine dynamic disaster simulation system and method | |
| CN101165315A (en) | Method for monitoring mine rock stress state by electromagnetic radiation method | |
| CN103196742B (en) | Acoustic emission testing device in working face supporting simulation process | |
| CN105467429B (en) | A kind of method of hard-rock mine mountainous region pressure coupling prediction | |
| CN104390736A (en) | Drilling cutting method intelligent detection system | |
| CN211577443U (en) | Microseism sensor for tracking and acquiring concentrated stress change of mine in real time |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20201224 Address after: 224400 No.10 Chunyuan Road, Xingou Town, Funing County, Yancheng City, Jiangsu Province Patentee after: Funing Jinyu Plastics Co.,Ltd. Address before: 411201 shimatou, Taoyuan Road, Yuhu District, Xiangtan City, Hunan Province Patentee before: Hunan University of Science and Technology |
|
| TR01 | Transfer of patent right |