CN104100256B - Method for measuring coal mine underground drilling depth based on image processing technology - Google Patents
Method for measuring coal mine underground drilling depth based on image processing technology Download PDFInfo
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- CN104100256B CN104100256B CN201310132223.9A CN201310132223A CN104100256B CN 104100256 B CN104100256 B CN 104100256B CN 201310132223 A CN201310132223 A CN 201310132223A CN 104100256 B CN104100256 B CN 104100256B
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Abstract
The invention discloses an image processing video tracking technology. The technology specifically comprises tracking the movement of drills in a punching video, measuring and analyzing tracking paths to automatically calculate the number of drilling rods, and calculating the depth of drilling holes according to the number of the drilling rods. The measuring error caused by human factors can be avoided, the data can be processed in real time or after the event; the measuring security is excellent, and major hidden danger can be solved. A method for measuring the coal mine underground drilling depth based on an image processing technology is provided, and the technology for automatically tracking and identifying objects in the video with low-quality in the underground complex environment is provided; according to the method, the problems that the underground movement objects are complex, and underground workers block the drilling hole video can be solved; the complex light environment generated by underground mine lamps and head lamps of the workers can be processed; the tracking result automatic quantitative analysis and counting judging result precision is high, and the real-time performance of a system is high.
Description
Technical field
The present invention relates to image processing techniquess, and in particular to the coal mine down-hole drilling depth survey based on image processing techniquess
Method.
Background technology
Gas is always the major hidden danger of Safety of Coal Mine Production.Maximum for gaseous mine, during coal production
Potential safety hazard is gas accident.China's nineteen ninety to 2000, once dead 3 people above major gas accident proportion was year by year
Rise, up to 45.61%, more than 40% is always held at later within 1996.Therefore, gas accident is China's coal-mine safety
The high principal contradiction of accident, effective control gas accident is the key for solving China's coal-mine safety problem.Due to gas
Accident it is very harmful, eliminating gas accident hidden danger needs to spend more time and expense, to high gas and outburst mine, machinery
Change extractive equipment to be difficult to play effectiveness, coal roadway tunneling speed was generally all difficult to more than the 100m/ months, and stope yield is generally difficult
With more than 1,000,000 t/a.Therefore, the threat of Gas Disaster accident also strongly limit coal production scale, production efficiency and economy
The raising of benefit.The effective control of Gas Disaster is a critical problem for ensureing China coal industry sustainable development.
Therefore comprehensive control is carried out to coal mine gas particularly important, application at present is gas compared with wide, the preferable technology of effect
Extraction technology.Gas pumping is the Main Means that colliery prevents Gas Outburst.At present for the measurement of drilling depth is also rested on
The method of measurement while drilling, subsequent supervision cannot be carried out.And for the measurement after drilling still adopts manual method, there is safety hidden
Suffer from.
The content of the invention
In order to solve the deficiencies in the prior art, the present invention adopts image processing techniquess, and drilling rod counting algorithm is applied automatically, surveys
Amount squeezes into the quantity of drilling rod during drilling, and according to drilling rod quantity calculating drilling depth, it is to avoid anthropic factor is caused
Measuring error, can in real time or afterwards processing data, and the safety for measuring is good, solves great potential safety hazard.
The technical scheme is that：Based on the coal mine down-hole drilling depth measurement method of image processing techniquess, including with
Lower step：
Step one, calculates drill bit and pierces the frame number FramIn=of process and drill and take time automatically according to the frame per second number of video
(s) * video frame rates (frame/s), and exit process frame number FrameOut=move back brill the time required to take time (s) * video frame rates
(frame/s)；
Step 2, selects the drill bit rectangle frame drilled as To Template, records position and the size of target rectangle frame
And the target image of drill bit；
Step 3, the feature histogram weighted using kernel function according to average drifting target tracking algorism is describing target mould
Plate, similarity measurement is carried out in every frame to To Template model and candidate target model, and along core histogram similarity
Gradient direction iterative search target location, realizes target following；The target following is exactly the drill bit target position according to previous frame
Put y0, the position y for making that distance is minimum or likeness coefficient is maximum is found in the current frame1. under conditions of core window width determines,
Obtain target masterplate p and candidate target masterplate q and histogram model after, the matching distance between model is defined asWherein ρ is Bhattacharyya coefficients, by constantly along the gradient side of similarity measurement
To new position is moved to until restraining, current new position is obtained；
Step 4, in drilling process the motion of drill bit for constantly jittery advance with retreat, so to tracking result away from
Mark leave the right or normal track first using median smoothing process, the offset distance at certain moment t is d ' (t)=med { d (t-k, t+k) } after smoothing, its
Middle k is filtering dimensional parameters, and by finding the notable jump of the To Template offset distance after smoothing single drilling rod is judged
The division of motion, whole curve movement is rendered as Z-shaped repeatedly, and the criterion of significantly jump is defined as judging point
In front and back three mean deviations distance is more than the 2/3 of whole movement locus (i.e. run of steel) in certain limit, i.e. meetThe time difference that vertical jump in succession twice need to be met simultaneously meets the time requirement of setting,
Meet Ti+1-Ti＞ a* (FrameIn+FrameOut), a are then a drilling rod quantity between 0 to 1；
Step 5, drilling depth can be convenient for measuring according to the drilling well drilling bar quantity of analysis and learn：Depth=runs of steel *
Drilling well drilling bar quantity.
Further improvement of the present invention includes：
The step 2 also include select drilling rod direction as direction of primary motion, to avoid complicated subsurface environment in do more physical exercises
The interference of the generations such as target such as labour movement and circumstance of occlusion, record the parameter of direction line segment.
If the position of target is displaced to from the fortune selected in step 2 in the present frame that mean shift algorithm is traced into
Dynamic direction certain distance, then it is assumed that present frame target is lost, the frame result is invalid, with the predictive value of persistent movement as target position
Put.
The step 3 also include judging by gray feature, gradient direction feature and Corner Feature To Template and
Similarity between candidate family.
The step 3 also includes defining target area, 3 centered on the geometric center of target area times target area face
Long-pending areas are background area, calculate discrimination D to judge the differentiation degree of target and background, calculating principle be defined asWherein Ha and Hb represent respectively the feature histogram of target area and background area
The present invention adopts image processing video tracking technique, and to punching, the drill bit movement in video is tracked, measurement point
Analysis pursuit path calculates the number of drilling rod automatically, and according to drilling rod quantity calculating drilling depth, it is to avoid anthropic factor is made
Into measuring error, can in real time or afterwards processing data, and the safety for measuring is good, solves great potential safety hazard.
Based on the coal mine down-hole drilling depth measurement method of image processing techniquess, to the target of low quality video in the complex environment of down-hole from
Motion tracking technology of identification, the method can not only solve down-hole moving target complexity, the screening that underground labour produces to hole-drilling video
Gear problem, and the complex illumination environment produced in down-hole mine lamp and workman's forehead lamp can also be tackled, while tracking result is certainly
Dynamic quantitative analyses and counting judged result precision are very high, and the real-time of system is high.
Specific embodiment
The present invention is elaborated below.
1. video pre-filtering
The process of 1.1 videos
Choose and open with a series of pending drilling well video, read video inner parameter.
The automatic acquisition of 1.2 parameters
Drill bit is calculated according to the frame per second number of video automatically pierce the frame number FramIn=of process and drill (s) * videos that take time
Frame per second (frame/s), and exit process frame number FrameOut=move back brill the time required to take time (s) * video frame rates (frame/s)
2. target following
The selection of 2.1 tracking targets and the direction of motion
Artificial mouse selects the drill bit rectangle frame drilled as To Template, and selects drilling rod direction as main motion side
To, to avoid complicated subsurface environment in the multiple mobile object such as interference of the generation such as labour movement and circumstance of occlusion.Record target
The parameter of rectangle frame and direction line segment.
The 2.2 average drifting target tracking algorisms based on multiple features
The feature histogram that average drifting target tracking algorism is weighted using kernel function describing target, to mesh in every frame
Mark template model and candidate target model carry out similarity measurement, and along the gradient direction iterative search of core histogram similarity
Target location, realizes target following.
A) selection of multiple features
Downhole video is the serious low resolution gray-scale maps of noise, is difficult to distinguish tracked brill using single gray feature
Head and background, the ability that different feature descriptions distinguishes target and background distribution is different.Therefore, with reference to gray feature, gradient side
The similarity between To Template and candidate family is judged to feature and Corner Feature.
Target area is defined, the areas of 3 centered on the center of target area times target area area are as background area
Domain, calculates discrimination D to judge the differentiation degree of target and background, and the calculating principle of D is defined asWherein Ha
With the feature histogram that Hb represents respectively target area and background area.
B) tracking of present frame target location
Target following is exactly the drill bit target location y according to previous frame0, find makes distance minimum or phase in the current frame
Like the position y that property coefficient is maximum1. under conditions of core window width determines, obtain target masterplate p's and candidate target masterplate q and straight
After square graph model, the matching distance between model is defined asWherein ρ is Bhattacharyya systems
Number.New position is moved to by the gradient direction constantly along similarity measurement until convergence, obtains current new position.
C) correction of tracking position of object and model modification
If the position of the present frame that mean shift algorithm is traced into is displaced to from the direction of motion one selected in 2.1 steps
Set a distance, then it is assumed that present frame target is lost, the frame result is invalid, and the predictive value with persistent movement is as target location.
3. automatic drilling rod method of counting
The movement locus of 3.1 smooth target followings
The motion of drill bit in drilling process is constantly jittery advance and retrogressing, so to tracking result apart from track elder generation
Using median smoothing process, the offset distance at certain moment t is d ' (t)=med { d (t-k, t+k) } after smoothing, and wherein k is filtering
Dimensional parameters.
3.2 drilling rods move back the judgement in bar cycle
Boring procedure for show as into-move back-...-cycle movement entered-move back, then show as on movement locus figure partially
Move apart from periodically jump is presented, judge that single drilling rod is transported by finding the notable jump of the offset distance after smoothing
Dynamic division, whole curve movement is rendered as Z-shaped repeatedly, and the criterion of significantly jump is defined as judging before point
Afterwards three mean deviations distance is more than the 2/3 of whole movement locus (i.e. run of steel) in certain scope, i.e. meetNeed to meet while twice the time difference of vertical jump in succession meets the time of setting simultaneously
Require, that is, meet Ti+1-Ti＞ a* (FrameIn+FrameOut), a is between 0 to 1.
4. drilling depth measurement and correction
Drilling depth can be convenient for measuring according to the drilling well drilling bar quantity of analysis and learn：Depth=run of steel * drilling well drilling bars
Quantity.Due to down-hole complex illumination and movement environment, or the irregular operation of workman etc. may cause tracking to be lost, or bore
The movement locus of head provide track following figure not fully to drill and moving back drill-through journey in system, can brightly see
Go out tracking loss to drill the cycle with irregular, management personnel can verify simultaneously partial video section according to track following figure
Correction result of calculation.
The ultimate principle and principal character and advantages of the present invention of the present invention has been shown and described above.The technology of the industry
Personnel it should be appreciated that the present invention is not restricted to the described embodiments, the simply explanation described in above-described embodiment and description this
The principle of invention, without departing from the spirit and scope of the present invention, the present invention also has various changes and modifications, these changes
Change and improve clan to enter in scope of the claimed invention.The claimed scope of the invention by appending claims and its
Equivalent thereof.
Claims (4)
1. the coal mine down-hole drilling depth measurement method of image processing techniquess is based on, it is characterised in that comprised the following steps：
Step one, calculates drill bit and pierces drill (s) * that take time of frame number FramIn=of process and regard automatically according to the frame per second number of video
Frequency frame per second (frame/s), and exit process frame number FrameOut=move back brill the time required to take time (s) * video frame rates (frame/
s)；
Step 2, selects the drill bit rectangle frame drilled as To Template P, record To Template P position and size and
The target image of drill bit；
Step 3, the feature histogram weighted using kernel function according to average drifting target tracking algorism describing To Template P,
Similarity measurement is carried out to To Template P and candidate target template q in every frame, and along the gradient side of core histogram similarity
To iterative search target location, target following is realized；The target following is exactly the drill bit target location according to previous frame
y0, the position y for making that distance is minimum or likeness coefficient is maximum is found in the current frame1, in the condition that core window width determines
Under, after obtaining the histogram model of To Template p and candidate target template q, the matching distance between model is defined asWherein ρ is Bhattacharyya coefficients, by constantly along the gradient side of similarity measurement
To new position is moved to until restraining, current new position is obtained；
Step 4, the motion of drill bit in drilling process is constantly jittery advance and retrogressing, so to tracking result apart from rail
First using median smoothing process, the offset distance at certain moment t is d ' (t)=med { d (t-k, t+k) } to mark after smoothing, and wherein k is
Filtering dimensional parameters, by finding the notable jump of the tracking result offset distance after smoothing drawing for single drilling rod motion is judged
Point, while the time difference that need to meet vertical jump in succession twice meets the time requirement of setting, that is, meet Ti+1-Ti＞ a* (FrameIn+
FrameOut), a is a drilling rod quantity between 0 to 1；
Step 5, drilling depth can be convenient for measuring according to the drilling well drilling bar quantity of analysis and learn：Depth=run of steel * drilling wells
Drilling rod quantity.
2. the coal mine down-hole drilling depth measurement method based on image processing techniquess according to claim 1, its feature exists
Also include selecting drilling rod direction as direction of primary motion in, the step 2, to avoid complicated subsurface environment in multiple mobile object
The interference of generation and circumstance of occlusion, record the parameter of direction line segment.
3. the coal mine down-hole drilling depth measurement method based on image processing techniquess according to claim 2, its feature exists
In if the position of present frame that average drifting target tracking algorism is traced into is displaced to from the motion side selected in step 2
To certain distance, then it is assumed that present frame target is lost, the frame result is invalid, and the predictive value with persistent movement is as target location.
4. the coal mine down-hole drilling depth measurement method based on image processing techniquess according to claim 1, its feature exists
In the step 3 also includes judging To Template p and candidate by gray feature, gradient direction feature and Corner Feature
Similarity between To Template q.
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| CN105649607A (en) * | 2015-12-31 | 2016-06-08 | 郑州光力科技股份有限公司 | Mining while-drilling type borehole track detection method and system and drill rod |
| CN107871114B (en) * | 2016-09-23 | 2022-04-26 | 杭州海康威视数字技术股份有限公司 | Method, device and system for pushing tracking information of target person |
| CN107833240B (en) * | 2017-11-09 | 2020-04-17 | 华南农业大学 | Target motion trajectory extraction and analysis method guided by multiple tracking clues |
| CN109267995B (en) * | 2018-10-16 | 2022-02-11 | 安徽理工大学 | Geological drill rod feeding depth measuring system based on aberration analysis drill rod node |
| CN109598710B (en) * | 2018-11-29 | 2023-04-11 | 中国科学院重庆绿色智能技术研究院 | Automatic counting method and system for coal mine drill rods |
| CN109800848B (en) * | 2019-01-23 | 2023-04-07 | 中国科学院重庆绿色智能技术研究院 | Automatic counting method for underground drilling number of coal mine |
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| CN112196518B (en) * | 2019-11-26 | 2021-05-04 | 中国科学院地质与地球物理研究所 | Drilling method, device, equipment and medium based on image recognition |
| CN113269705A (en) * | 2020-02-14 | 2021-08-17 | 中国石油天然气集团有限公司 | Video-based explosive feeding depth detection method and device |
| CN112001420B (en) * | 2020-07-24 | 2022-09-09 | 武汉安视感知科技有限公司 | Intelligent timing and counting method and device for drill pipe of mine worker and storage device |
| CN112883830B (en) * | 2021-01-29 | 2022-03-15 | 南京北路智控科技股份有限公司 | Real-time automatic counting method for drill rods |
| CN113188465A (en) * | 2021-04-21 | 2021-07-30 | 中铁第四勘察设计院集团有限公司 | Drilling hole depth identification method and device based on video learning |
| CN114821453B (en) * | 2022-06-30 | 2022-09-20 | 广州英码信息科技有限公司 | Coal mine drill rod counting method based on target detection and computer readable medium |
| CN116778532B (en) * | 2023-08-24 | 2023-11-07 | 汶上义桥煤矿有限责任公司 | Underground coal mine personnel target tracking method |
| CN117557401B (en) * | 2024-01-12 | 2024-04-02 | 东华理工大学南昌校区 | Geological big data-based uranium ore prospecting target area intelligent demarcating method |
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