CN106246222A - A kind of visual inspection method of coal-face roof fracture band evolution Feature - Google Patents
A kind of visual inspection method of coal-face roof fracture band evolution Feature Download PDFInfo
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- CN106246222A CN106246222A CN201510324894.4A CN201510324894A CN106246222A CN 106246222 A CN106246222 A CN 106246222A CN 201510324894 A CN201510324894 A CN 201510324894A CN 106246222 A CN106246222 A CN 106246222A
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Abstract
The invention discloses a kind of visual inspection method of coal-face roof fracture band evolution Feature.This observation procedure comprises the design of observation boring, rock stratum detection recorder shooting bore inner layer reason image, image procossing and fissure zone Evolution analysis and summary based on hole structure change；Observation boring is arranged in return airway, in same test point, the observation boring of different azimuth to be arranged, each point layout three groups boring, often four borings of group, it is achieved space multistory is observed；Boring is progressively deeply observed along observation boring by every day with rock stratum detection recorder, the hole depth position that record image is corresponding；Utilize matlab exploitation pixel extraction to process obtaining image with gray count program, export hole structure figure intuitively；By the Evolution analysis and summary fissure zone Evolution to all bore inner cracks.
Description
Technical field
The invention belongs to technical field of coal mine, particularly to a kind of visual inspection method of coal-face roof fracture band evolution Feature.
Background technology
In all of security incident of China, the death toll of coal mining accident is the most all most, the serious threat personal safety of underground operators, in down-hole accident, especially the most multiple with gas accident and roof accident.Adopting with work surface, the fissure zone that rock stratum is formed above top board, crack is grown in a large number, and the gas in stope space and goaf is converged in fissure zone by the crack field being mutually communicated formation.In roof fracture band, arrange mash gas pumping drilling, it is possible to expand gas pumping scope, improve gas pumping efficiency.So, grasp stope fissure zone temporal and spatial evolution, it is possible to targetedly fissure zone gas pumping parameter is optimized, prevention gas exceed standard, improves mining progress, guarantee safety in production in terms of there is actual application value.
Currently, the determination to roof fracture band height, mainly there is following several method: the first is that rule of thumb formula carries out computational analysis, and the method is typically due to be not easy the rock mechanics parameters of accurate perception roof strata and affect the precision of result of calculation；Second method is the Evolution that the method by numerical simulation draws fissure zone, and the method is typically due to need some boundary conditions are carried out idealization process in modeling process, causes the distortion of result, often as householder method；The third method is the method for similarity simulation experiment, and the method can not realize the fissure zone Evolution simulation in the case of different coal-mining methods, and meanwhile, the method cycle is long, expends big.
Utilize rock stratum detection recorder that mining induced fissure is carried out visual inspection technology, there is convenience, directly perceived, quick, low cost, accuracy advantages of higher, will be the following trend grasping roof fracture evolution.
Summary of the invention
In view of above-mentioned deficiency of the prior art, it is desirable to provide a kind of convenient, directly perceived, quick, easy and simple to handle, precision is reliable, the coal-face roof fracture band evolution Feature visual inspection method of low cost.
The present invention is achieved through the following technical solutions:
The visual inspection method of coal-face roof fracture band evolution Feature of the present invention, including the design of observation boring, rock stratum detection recorder shooting bore inner layer reason image and image procossing；Observation boring is arranged in return airway, in same test point, the observation boring of different azimuth to be arranged, each point layout three groups boring, often four borings of group, it is achieved space multistory is observed；Boring is progressively deeply observed along observation boring by every day with rock stratum detection recorder, the hole depth position that record image is corresponding；Utilize matlab exploitation pixel extraction to process obtaining image with gray count program, export hole structure intuitivelyFigure；By the Evolution analysis and summary fissure zone Evolution to all bore inner cracks.
Accompanying drawing explanation
Figure 1Visual inspection method flow for coal-face roof fracture band evolution FeatureFigure；
Figure 2Vertical view for observation boringFigure；
Figure 3It is that first group of boring is along a-a ' sectionFigure；
Figure 4For rock layer detector boring shooting signalFigure。
Detailed description of the invention
(1) observation drilling design.Test point is all selected in return airway；Arranging that a drill site, as test point, arranges three test points altogether every 50m, the test point nearest apart from open-off cut is arranged at open-off cut 50m；In same test point, arranging the observation boring of different azimuth, each point layout three groups boring, often four borings of group, each test point arranges 12 borings altogether.Drilling design parameterSuch as table 1Shown in；
Table 1Observation drilling design parameter
(2) rock stratum detection recorder is utilized to shoot all observation bore inner images every day.Rock stratum detection recorder is made up of main frame, photographic head and the quick push-pull bar that connects, photographic head is fixed on and quickly connects on push-pull bar, during observation, with push-pull bar, photographic head is pushed inwards along boring, during pushing, record the boring hole depth data corresponding to the time on monitor host video interface simultaneously；During each shift, all observation boring observations of the observation station that work surface of will adjusting the distance is nearest are once；
(3) utilizing matlab to develop pixel extraction and gray count program, this program includes image input module, image processing module, gray value computing module and data outputting module.Program finally exports bore inner crack information；
(4) after returning to ground, by the image copy in detection recorder main frame to calculating, the processing routine of matlab exploitation is opened, it would be desirable to the image of process imports matlab, processes image one by one, it is thus achieved that drill hole information and crack information in every pictures；
(5) by the drill hole information obtained after image procossing and crack information are carried out induction-arrangement analysis, it is thus achieved that the rule of boring internal fissure development, thus the Evolution of roof fracture band is judged.
Claims (5)
1. the visual inspection method of coal-face roof fracture band evolution Feature, it is characterized in that, bag expands the design of observation boring, the output of bore inner bedding architecture image taking, hole crack information based on image procossing and fissure zone Evolution analysis and summary based on hole structure change.
The design of observation boring the most according to claim 1, it is characterised in that test point is all selected in return airway；Arranging that a drill site, as test point, arranges three test points altogether every 50m, the test point nearest apart from open-off cut is arranged at open-off cut 50m；In same test point, the observation boring of different azimuth to be arranged, each point layout three groups boring, often four borings of group, it is achieved stereopsis.
The shooting of bore inner bedding architecture image the most according to claim 1, it is characterized in that, rock stratum detection recorder is utilized to shoot all observation bore inner images every day, rock stratum detection recorder is made up of main frame, photographic head and the quick push-pull bar that connects, photographic head is fixed on and quickly connects on push-pull bar, during observation, say that photographic head pushes inwards along boring with push-pull bar.
4. export according to hole crack information based on image procossing, it is characterised in that utilizing matlab to develop pixel extraction and gray count program, this program includes image input module, image processing module, gray value computing module and data outputting module.Program finally exports position, bore inner crack, length and width etc..
Fissure zone Evolution analysis and summary based on hole structure change the most according to claim 1, it is characterized in that obtaining the drill hole information with the advance of the face after image procossing and crack information carries out induction-arrangement analysis, obtain the rule of boring internal fissure development, thus judge the Evolution of roof fracture band.
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| CN201510324894.4A CN106246222A (en) | 2015-06-12 | 2015-06-12 | A kind of visual inspection method of coal-face roof fracture band evolution Feature |
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| CN201510324894.4A CN106246222A (en) | 2015-06-12 | 2015-06-12 | A kind of visual inspection method of coal-face roof fracture band evolution Feature |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107748825A (en) * | 2017-11-06 | 2018-03-02 | 四川大学 | A kind of Seam Mining crack field gas pressure measurement system |
| CN109083629A (en) * | 2018-10-18 | 2018-12-25 | 西安科技大学 | Detection system and method are pried through in a kind of drilling of rock mass of coal mine analog material |
| CN110318734A (en) * | 2019-06-25 | 2019-10-11 | 江西理工大学 | A kind of method and system suitable for close the goaf information collection |
| CN114109502A (en) * | 2020-08-25 | 2022-03-01 | 神华神东煤炭集团有限责任公司 | Detection method for self-repairing degree of overburden fracture in mining area and application of detection method |
| CN115929408A (en) * | 2023-01-17 | 2023-04-07 | 河南理工大学 | System and method for monitoring coal mine roof cracks in real time in roadway driving process |
| CN117404072A (en) * | 2023-12-15 | 2024-01-16 | 山东新云鹏电气有限公司 | Drilling site management system based on artificial intelligence |
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| CN103775071A (en) * | 2014-01-15 | 2014-05-07 | 四川大学 | Method for measuring cranny evolvement of mining coal-rock mass |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107748825A (en) * | 2017-11-06 | 2018-03-02 | 四川大学 | A kind of Seam Mining crack field gas pressure measurement system |
| CN109083629A (en) * | 2018-10-18 | 2018-12-25 | 西安科技大学 | Detection system and method are pried through in a kind of drilling of rock mass of coal mine analog material |
| CN109083629B (en) * | 2018-10-18 | 2024-02-13 | 西安科技大学 | System and method for peeping detection of coal mine rock mass similar material drilling |
| CN110318734A (en) * | 2019-06-25 | 2019-10-11 | 江西理工大学 | A kind of method and system suitable for close the goaf information collection |
| CN114109502A (en) * | 2020-08-25 | 2022-03-01 | 神华神东煤炭集团有限责任公司 | Detection method for self-repairing degree of overburden fracture in mining area and application of detection method |
| CN115929408A (en) * | 2023-01-17 | 2023-04-07 | 河南理工大学 | System and method for monitoring coal mine roof cracks in real time in roadway driving process |
| CN115929408B (en) * | 2023-01-17 | 2023-09-19 | 河南理工大学 | Real-time monitoring system and method for coal mine roof fracture in tunneling process |
| CN117404072A (en) * | 2023-12-15 | 2024-01-16 | 山东新云鹏电气有限公司 | Drilling site management system based on artificial intelligence |
| CN117404072B (en) * | 2023-12-15 | 2024-02-23 | 山东新云鹏电气有限公司 | Drilling site management system based on artificial intelligence |
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Application publication date: 20161221 |
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