CN113006780A - Intelligent analysis device for coal mine dynamic disaster risk detection - Google Patents
Intelligent analysis device for coal mine dynamic disaster risk detection Download PDFInfo
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- CN113006780A CN113006780A CN202110253441.2A CN202110253441A CN113006780A CN 113006780 A CN113006780 A CN 113006780A CN 202110253441 A CN202110253441 A CN 202110253441A CN 113006780 A CN113006780 A CN 113006780A
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- dynamic disaster
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- 239000003245 coal Substances 0.000 title claims abstract description 67
- 238000001514 detection method Methods 0.000 title claims abstract description 14
- 238000004458 analytical method Methods 0.000 title abstract description 4
- 238000005553 drilling Methods 0.000 claims abstract description 53
- 238000000034 method Methods 0.000 claims abstract description 45
- 238000005520 cutting process Methods 0.000 claims abstract description 28
- 238000007689 inspection Methods 0.000 claims abstract description 21
- 239000000843 powder Substances 0.000 claims abstract description 11
- 238000006073 displacement reaction Methods 0.000 claims description 12
- 238000006243 chemical reaction Methods 0.000 claims description 8
- 238000005303 weighing Methods 0.000 claims description 7
- 230000005540 biological transmission Effects 0.000 claims description 6
- 239000002817 coal dust Substances 0.000 claims description 5
- 238000005422 blasting Methods 0.000 claims description 3
- 238000013461 design Methods 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 claims 1
- 238000005516 engineering process Methods 0.000 abstract description 12
- 238000011156 evaluation Methods 0.000 abstract description 7
- 230000007547 defect Effects 0.000 abstract description 4
- 238000004891 communication Methods 0.000 abstract description 3
- 239000011435 rock Substances 0.000 description 9
- 238000012360 testing method Methods 0.000 description 9
- 238000011160 research Methods 0.000 description 6
- 239000004744 fabric Substances 0.000 description 3
- 238000005065 mining Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000009533 lab test Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000007639 printing Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
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Classifications
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
- E21B49/005—Testing the nature of borehole walls or the formation by using drilling mud or cutting data
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B44/00—Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
Abstract
The invention relates to the field of coal mine dynamic disaster risk detection and early warning, in particular to an intelligent analysis device for coal mine dynamic disaster risk detection based on a drilling cutting method. The device comprises the following three parts: a first part: a data acquisition section; a second part: a field host portion; and a third part: and special data processing software for coal mine dynamic disaster risk detection. The intelligent detection method is used for intelligently detecting the coal mine dynamic disaster danger based on a drilling cutting method, and realizes the automatic statistics of the coal powder amount per meter, the intelligent judgment of macroscopic phenomena such as coal cannons, top drills, suction drills, stuck drills and the like in the coal mine dynamic disaster danger detection process by applying the modern communication technology, the computer technology, the sensor technology and the automation technology, so that the intelligent evaluation of the impact danger of a drilling area is realized. The defects of high risk, high workload, large human factor and the like in the process of judging impact risk by a drilling cutting method are overcome, and the purposes of safety, intelligence, reliability and easiness in the inspection process are achieved.
Description
Technical Field
The invention relates to a coal mine dynamic disaster danger testing device based on a drilling cutting method, which is used for coal mine dynamic disaster danger detection and early warning.
Background
In the field of monitoring and early warning of rock burst and coal and gas outburst danger, at present, on-site prediction at home and abroad mainly takes a drilling cutting method as a main method. Drilling cutting method coal dust drilling method) is a practical and reliable method for identifying impact danger according to the amount and change rule of discharged coal dust and macroscopic dynamic phenomenon by drilling a small-diameter 40-50 mm) hole in a coal seam.
A study on research and application of a drilling cutting method is published in 1985 by a rock burst research group of the Fushun Ministry of mines, a rock burst research group of the Fuxin Ministry of mining industry and a rock burst research group of the Fushun Ministry of mines, a laboratory test and a theoretical calculation result carried out by a self-made confining pressure device are utilized to test and research a whole set of methods and means for determining an impact risk index and judging the impact risk degree of the drilling cutting method, and a rock burst dangerous coal seam detection standard and an impact index for mining rock burst by Longfeng mines are specifically provided and applied to Longfeng coal mines.
Professor Zhaoyangsheng, et al 1987 published a paper on "research on drilling cuttings method for monitoring pressure of surrounding rock" in the journal of geotechnical engineering, which argues that there is a certain relationship between drilling cuttings quantity change and surrounding rock stress. In 1989, a study on critical drilling powder amount of rock burst was published, and the change rule of the drilling powder amount under different geological conditions was studied.
At present, when a drilling cutting method is applied to carry out impact danger inspection at home and abroad, the impact danger inspection is mainly realized by a method of 'one piece of cloth, one bar scale, one pen and one piece of paper', namely, a driller lays one piece of cloth on the ground right below a powder discharge outlet of a drill rod, and when one meter of drill rod is drilled, the driller records the times of macroscopic phenomena such as top drilling, drill sticking, drill sucking, coal cannon and the like in the drilling process of the meter in a statistical table, and when the drilling of each meter of drill rod is finished, the drill powder on the cloth is weighed by a scale, and the weighing result is recorded in the statistical table. And (5) continuing drilling, and repeating the above method by the worker to perform data statistics. The method for impact risk evaluation has the defects of great risk, large workload and operation errors different from person to person of operators in the implementation process, thereby causing inaccuracy, unreliability and unscientific performance of evaluation results.
At present, no intelligent device for judging coal mine dynamic disaster danger inspection by a drilling cutting method exists at home and abroad. The invention provides an intelligent analysis device for coal mine dynamic disaster danger inspection, which aims to solve the problems of low intelligent level, high danger and large workload in the inspection process of coal mine dynamic disaster danger inspection based on a drilling cutting method and overcome operation errors which are different from person to person.
Disclosure of Invention
The invention aims to provide a coal mine dynamic disaster danger testing device based on a drilling cutting method, which can be widely applied to coal mine dynamic disaster danger testing of the drilling cutting method, and achieves the purposes of standardization, reliability, safety and simplicity of coal mine dynamic disaster danger testing based on the drilling cutting method.
A coal mine dynamic disaster danger inspection device based on a drilling cutting method comprises the following three parts: a data acquisition device; a field host device; and (3) coal mine dynamic disaster risk inspection data processing software. The intelligent judgment of the coal mine dynamic disaster danger is realized through the cooperative work of the three parts.
The data acquisition device comprises a pulverized coal weight data acquisition device and consists of a collecting barrel, a digital display meter and a bracket. The data acquisition device also comprises three data acquisition devices of propelling pressure, revolving pressure and footage, and consists of two pressure sensors and a displacement sensor.
The collecting barrel is hung below the digital display meter through a hook and used for collecting coal dust discharged by the spiral drill rod in the drilling process. The digital display meter displays the weight of the pulverized coal in the collecting barrel in real time and transmits data to the on-site host computer according to the set frequency through the wireless transceiving module.
The weighing sensor adopts an explosion-proof design and is connected with the digital display meter in a wired mode. The digital display meter adopts an explosion-proof design, and can digitally display the weight of the pulverized coal in real time.
The propulsion pressure and the rotary pressure signals are acquired by additionally arranging pressure sensors at the outlets of the propulsion power pump and the rotary power pump, and data are transmitted to the on-site host computer in a wired mode.
The footage signal is obtained by additionally arranging an external displacement sensor on the drilling machine, and data is transmitted to the on-site host computer in a wired mode.
The on-site host computer comprises a digital-to-analog conversion module, a wireless transmission module and an explosion-proof computer for coal mines. The digital-to-analog conversion module converts the input 4-20mA current or 0-5V voltage signal into a digital signal which can be read by a computer. The wireless transmission module is responsible for receiving the drilling cuttings weight data sent from the digital display table. The explosion-proof computer for the coal mine is used for acquiring and storing digital display meter signals, propulsion pressure signals, rotation pressure signals and displacement sensor signals, and intelligently judging macroscopic phenomena such as top drilling, bit jamming, suction drilling, coal cannon and the like based on a set algorithm and a set program. The explosion-proof computer for coal mine displays the top drill, drill jamming, drill sucking and coal blasting times histogram and drilling cuttings weight-footage curve chart in each meter in real time, and gives an early warning in real time in the form of sound and light alarm.
The special software for processing the coal mine dynamic disaster risk inspection data has three main functions of intelligent evaluation of single-hole risk, intelligent evaluation of local area risk and automatic generation and printing of charts. The software carries out intelligent judgment on the dynamic disaster danger inspection of the single-hole coal mine and comprehensive judgment on the danger degree in the dynamic disaster danger inspection area of the coal mine based on data recorded in the drilling process.
The device carries out intelligent detection on coal mine dynamic disaster danger based on a drilling cutting method, applies a modern communication technology, a computer technology, a sensor technology and an automation technology, realizes automatic statistics of the amount of coal powder per meter in the coal mine dynamic disaster danger detection process, intelligently judges macroscopic phenomena such as coal cannons, top drills, suction drills, drill jamming and the like, and realizes intelligent evaluation on impact danger of a drilling area. The defects of high risk, high workload, large human factor and the like in the process of judging impact risk by a drilling cutting method are overcome, and the purposes of safety, intelligence, reliability and easiness in the inspection process are achieved.
Drawings
FIG. 1 is a schematic diagram of a coal mine dynamic disaster risk testing device of the present invention;
in FIG. 1, 1-hydraulic circuit; 2-explosion-proof motor; 3-a power pump; 4-a boost pressure sensor; 5-a rotary pressure sensor; 6-field host computer; 7-a displacement sensor; 8-a drilling machine; 9-material collecting box; 10-a digital display meter; 11-a scaffold;
Detailed Description
As shown in fig. 1, a coal mine dynamic disaster danger testing device based on a drilling cutting method comprises the following three parts: a data acquisition device; a field host device; and (3) coal mine dynamic disaster risk inspection data processing software. The intelligent judgment of the coal mine dynamic disaster danger is realized through the cooperative work of the three parts.
The first device is a coal powder weight data acquisition device and consists of a collecting barrel, a digital display meter and a support. The second device is a propulsion pressure, rotation pressure and footage three data acquisition device, and is realized by two pressure sensors and a displacement sensor.
The collecting barrel 9 is hung below the weighing sensor through a hook and used for collecting coal dust discharged by the spiral drill rod in the drilling process. The digital display meter displays the weight of the coal powder in the collecting barrel in real time and transmits data to the on-site host 6 through the wireless transceiving module according to the set frequency.
A propelling pressure sensor 4 and a rotary pressure sensor 5 are arranged at the outlet of a power pump of the drilling machine, and the sensors output 4-20mA current signals. An external displacement sensor is arranged on the drilling machine, and the sensor outputs a 4-20mA current signal. The three current signals are connected to the analog-to-digital conversion module in a wired mode and input to the explosion-proof computer for the coal mine.
The on-site host 6 comprises a digital-to-analog conversion module, a wireless transmission module and an explosion-proof computer for coal mines. The digital-to-analog conversion module converts the input 4-20mA current signal into a digital signal which can be read by a computer. The wireless transmission module is used for receiving the weight data of the drill cuttings sent by the digital display type weighing instrument. The explosion-proof computer for the coal mine is responsible for acquiring and storing digital display meter signals, propulsion pressure signals, rotation pressure signals and displacement sensor signals, and realizes intelligent judgment of top drilling, bit jamming, suction drilling and coal cannon based on set algorithms and programs. The explosion-proof computer for coal mine displays the top drill, drill jamming, drill sucking and coal blasting times histogram and drilling cuttings weight-footage curve chart in each meter in real time, and gives an early warning in real time in the form of sound and light alarm.
When the device is used, the combination relation of all devices is shown in figure 1, before a test drill starts to drill, a support 11 is well hung on an anchor net, a digital display meter 10 is fixed on the right side of the support, a collecting barrel is hung below a weighing sensor through a hook, a power supply is arranged in the digital display meter, a power switch is turned on, whether the digital display meter can normally display or not is checked, zero clearing and resetting operations are carried out, a pushing pressure sensor and a rotary pressure sensor are connected, an external displacement sensor is installed, a pushing pressure signal line, a rotary pressure signal line and a displacement sensor signal line are connected into an analog-to-digital conversion module of a field host computer in a wired mode, an explosion-proof computer for a coal mine is turned on, and data acquisition and test are carried out.
The device carries out intelligent detection on coal mine dynamic disaster danger based on a drilling cutting method, applies a modern communication technology, a computer technology, a sensor technology and an automation technology, realizes automatic statistics of the amount of coal powder per meter in the coal mine dynamic disaster danger detection process, intelligently judges macroscopic phenomena such as coal cannons, top drills, suction drills, drill jamming and the like, and realizes intelligent evaluation on impact danger of a drilling area. The defects of high risk, high workload, large human factor and the like in the process of judging impact risk by a drilling cutting method are overcome, and the purposes of safety, intelligence, reliability and easiness in the inspection process are achieved.
Claims (7)
1. The utility model provides a colliery power calamity danger verifying attachment based on drill chip method which characterized in that: the device includes: a data acquisition device; a field host device; the coal mine dynamic disaster danger detection data processing software realizes intelligent judgment of coal mine dynamic disaster danger through cooperative work of the three devices; the data acquisition device comprises a coal powder weight data acquisition device and three data acquisition devices of pushing pressure, rotating pressure and footage, wherein the coal powder weight data acquisition device consists of a collecting barrel, a digital display meter and a bracket; the three data acquisition devices of the rotary pressure and the footage are composed of two pressure sensors and a displacement sensor.
2. The inspection device of claim 1, wherein: the collecting barrel is hung below the digital display meter through a hook and is used for collecting coal dust discharged by the auger stem in the drilling process; the digital display meter displays the weight of the pulverized coal in the collecting barrel in real time and transmits data to the on-site host computer through the wireless transceiving module according to the set frequency.
3. The inspection device of claim 1, wherein: the collecting barrel is connected with a weighing sensor, the weighing sensor adopts an explosion-proof design and is connected with a digital display meter in a wired mode.
4. The inspection device of claim 1, wherein: the two pressure sensors are respectively arranged at outlets of the propelling power pump and the rotary power pump, measure propelling pressure signals and rotary pressure signals, and transmit data to the on-site host computer in a wired mode.
5. The inspection device of claim 1 or 4, wherein: the displacement sensor is arranged on the drilling machine, measures a footage signal and transmits data to the on-site host computer in a wired mode.
6. The inspection device of any one of claims 1 to 4, wherein: the on-site host comprises a digital-to-analog conversion module, a wireless transmission module and an explosion-proof computer for a coal mine; the digital-to-analog conversion module converts an input 4-20mA current or 0-5V voltage signal into a digital signal which can be read by a computer; the wireless transmission module receives the drill cuttings weight data sent from the digital display table; the coal mine explosion-proof computer collects and stores digital display meter signals, propulsion pressure signals, rotation pressure signals and displacement sensor signals, and based on set algorithms and programs, intelligent judgment of macroscopic phenomena such as top drilling, drill sticking, suction drilling, coal cannon and the like is achieved.
7. The inspection device of claim 6, wherein: the explosion-proof computer for coal mines displays a histogram of the times of top drilling, drill jamming, drill suction and coal blasting in each meter and a drilling cuttings weight-footage curve chart in real time, and performs real-time early warning in an audible and visual alarm mode.
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| CN202110253441.2A CN113006780A (en) | 2021-03-09 | 2021-03-09 | Intelligent analysis device for coal mine dynamic disaster risk detection |
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| CN202110253441.2A CN113006780A (en) | 2021-03-09 | 2021-03-09 | Intelligent analysis device for coal mine dynamic disaster risk detection |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN102913286A (en) * | 2012-11-12 | 2013-02-06 | 北京安科兴业科技有限公司 | Drilling cutting method impact dangerousness detection automation analyzing system and method for coal mines |
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| CN104239691A (en) * | 2014-08-21 | 2014-12-24 | 徐州矿务集团有限公司 | Actual-measurement comprehensive evaluation method for impact risk |
| CN104763470A (en) * | 2015-03-27 | 2015-07-08 | 辽宁工程技术大学 | One-hole multi-index intelligent rock burst pre-warning system and method for mine |
| CN109812259A (en) * | 2017-11-20 | 2019-05-28 | 辽宁工程技术大学 | A kind of coal mining drilling multi objective test device and method |
| CN110242280A (en) * | 2019-07-09 | 2019-09-17 | 煤炭科学技术研究院有限公司 | A kind of intelligent detecting method and special drilling machine of drilling cuttings method special project drilling machine |
-
2021
- 2021-03-09 CN CN202110253441.2A patent/CN113006780A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN102913286A (en) * | 2012-11-12 | 2013-02-06 | 北京安科兴业科技有限公司 | Drilling cutting method impact dangerousness detection automation analyzing system and method for coal mines |
| CN103032100A (en) * | 2012-12-12 | 2013-04-10 | 北京安科兴业科技有限公司 | Intelligent dynamic disaster risk detection method for mine |
| CN104239691A (en) * | 2014-08-21 | 2014-12-24 | 徐州矿务集团有限公司 | Actual-measurement comprehensive evaluation method for impact risk |
| CN104763470A (en) * | 2015-03-27 | 2015-07-08 | 辽宁工程技术大学 | One-hole multi-index intelligent rock burst pre-warning system and method for mine |
| CN109812259A (en) * | 2017-11-20 | 2019-05-28 | 辽宁工程技术大学 | A kind of coal mining drilling multi objective test device and method |
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