CN204331743U - A kind of coal-rock detection system based on image frequency domain feature extraction and Classification and Identification - Google Patents
A kind of coal-rock detection system based on image frequency domain feature extraction and Classification and Identification Download PDFInfo
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- CN204331743U CN204331743U CN201420674241.XU CN201420674241U CN204331743U CN 204331743 U CN204331743 U CN 204331743U CN 201420674241 U CN201420674241 U CN 201420674241U CN 204331743 U CN204331743 U CN 204331743U
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Abstract
The utility model discloses a kind of coal-rock detection system based on image frequency domain feature extraction and Classification and Identification, described coal-rock detection system comprises image collecting device, feature deriving means, Images Classification recognition device, storer and control circuit, the input port of the signal output part connected storage of described image collecting device, the output port connection features extraction element of described storer, the output port connection layout of described feature deriving means is as Classification and Identification device, described control circuit control linkage image collecting device, feature deriving means, Images Classification recognition device and storer, described image collecting device comprises illuminating lamp and video camera, described coal-rock detection system also comprises explosion-resistant enclosure, described explosion-resistant enclosure is inlaid with high saturating form, the camera of described video camera aims at high saturating form.When the utility model carries out coal and rock identify, manual intervention is few, cost is low, be applicable to complex environment under the automatic classification identification of coal petrography image, effectively can improve nicety of grading and the efficiency of image, for operator provide accurately and reliably coal-rock interface information so that timely adjustment coal mining machine roller height.
Description
Technical field
The utility model relates to a kind of based on image frequency domain feature extraction and Classification and Identification coal-rock detection system, for identifying the boundary position in underground coal mine coal-face coal seam and adjoining rock, belongs to Computer Image Processing and area of pattern recognition.
Background technology
In coal underground mining process, need operator to control the lifting of rocker arm of coal mining machine, cause such as to avoid cutting to roof and floor rock: pick weares and teares; Produce spark, cause pernicious gas explosion accident; Degradation series of problems under raw coal quality.But because down-hole coal excavation environment on coalface is very complicated, coalcutter driver is difficult to the cut state accurately judging coalcutter, so China nowadays mainly adopts the mode of conservative exploitation, actual recovery ratio is low, cause the serious wasting of resources, and present technical merit is also difficult to carry out secondary recovery to remaining a large amount of coal resources.
Coal and rock identify is the gordian technique realizing coal mining machine roller automatic adjustment height, namely automatically identify coalcutter in the course of the work pick whether cut roof and floor, or identify the thickness of left top ground coal.Coal-Rock Interface Recognition is for minimizing getting working face operating personnel until to realize workplace Manless mining significant, and being the needs of mine safety High-efficient Production, is again the needs alleviating labor strength He improve operating environment.Therefore develop coal and rock identify and demarcation system significant.
Chinese Patent Application No. 201010160335.1, publication date 2010.9.22, disclose a kind of development machine coal rock identification automatic cutting control method and system, the method calculates the Protodyakonov coeffic of ore deposit, current cut position rock according to the parameter of the force-bearing situation of cutting head of roadheader, cutting motor and angling cylinder, judges that ore deposit rock type is coal or rock more afterwards with standard Protodyakonov coeffic.
Chinese Patent Application No. 201010251520.1, publication date 2010.12.22, disclose a kind of coal-rock interface identification method, recognition system and identification probe, the coal seam that the high-pressure water shot that can not penetrate the particular level of rock stratum by penetrating coal seam flows to above tunnel is sprayed, and the different acting forces that real-time perception is formed nozzle by the contrajet of coal seam or rock layer reflection, judge the distance of coal mining machine roller pick upper end and coal-rock interface accordingly.
The identification of above-mentioned coal-rock interface is all utilize sensor to identify, mainly there is two problems: on the one hand, in different producing regions, colliery, needs to choose different sensors, and needs to be arranged in different machinery and equipment.On the other hand, in coal mining environment, sensor itself easily breaks down and malfunctioning situation, all increases the waste of man power and material undoubtedly.Utility model complex structure described in Chinese Patent Application No. 201010160335.1, needs between each module mutually to provide data, consuming time longer.And the utility model described in Chinese Patent Application No. 201010251520.1 needs to utilize high water pressure, and need to install large-scale water storage and Sewage treatment re-use device additional, affect by local coal mine environment and down-hole dust, coal dust, dust etc., do not possess good generalization.
Summary of the invention
In order to overcome the deficiency that existing Coal-Rock Interface Recognition system exists, the utility model discloses a kind of coal-rock detection system based on image frequency domain feature extraction and Classification and Identification, this system affects little by illumination etc., can be quick, automatically identify current coal, rock is to liking coal or rock, for identifying that coal-face coal seam and adjoining rock interface provide reliable coal and rock identify information, and without the need to adopting sensor to identify, reduce manpower, the waste of material resources, in order to solve because existing Coal-Rock Interface Recognition system adopts sensor to identify, and sensor easily damages, and different banks needs different sensors, waste of manpower, the problem of material resources.
The technical scheme that the utility model is taked is: a kind of coal-rock detection system based on image frequency domain feature extraction and Classification and Identification, described coal-rock detection system comprises image collecting device, feature deriving means, Images Classification recognition device, storer and control circuit, the input port of the signal output part connected storage of described image collecting device, the output port connection features extraction element of described storer, the output port connection layout of described feature deriving means is as Classification and Identification device, described control circuit control linkage image collecting device, feature deriving means, Images Classification recognition device and storer, described image collecting device comprises illuminating lamp and video camera, described coal-rock detection system also comprises explosion-resistant enclosure, described explosion-resistant enclosure is inlaid with high saturating form, and the camera of described video camera aims at high saturating form.
Described illuminating lamp installs diffuse reflector additional form by organizing LED array more, described many groups LED array being arranged on hemisphere face symmetrically.
Described video camera is a netter's video camera being equipped with charge-coupled image sensor.
Described feature deriving means comprises photoelectric switching circuit and low-pass filter.
Described coal-rock detection system also comprises display device, and the signal input port of described display device connects the signal output port of image recognition apparatus.
Described coal-rock detection system also comprises the camera cleaning device for cleaning the camera of video camera, described camera cleaning device comprises control lever, one end of described control lever arranges miniature dust absorption machine, and the other end of described control lever arranges power supply and switch.
Described control lever is electric expansion bar.
The beneficial effects of the utility model are:
1, coal-rock detection system of the present utility model carries out coal-rock detection by gathering coal petrography image, do not need the participation of sensor, avoid, in different producing regions, colliery, different sensors is installed, manual intervention is few, saves manpower, and, because of the fault of sensor or malfunctioning continuous more emat sensor, greatly can not provide cost savings.
2, coal-rock detection system cost of the present utility model is low, be applicable to complex environment under the automatic classification identification of coal petrography image, effectively can improve nicety of grading and the efficiency of image, for operator provide accurately and reliably coal-rock interface information so that timely adjustment coal mining machine roller height.
3, because the environmental quality in colliery is poor, there are a lot of dusts, coal dust, dust etc., in the process of image acquisition, camera is easy to contaminated, makes video camera cannot collect image clearly, therefore, the utility model arranges camera cleaning device, can clean camera, improves the accuracy identified.
Accompanying drawing explanation
Below in conjunction with the drawings and specific embodiments, the utility model is described in further detail.
Fig. 1 is according to a block diagram of system of the present utility model;
Fig. 2 is the principle of work block diagram of Coal-Rock Interface Recognition system described in the utility model;
Fig. 3 is the basic procedure of Coal-rock identification method of the present invention.
In figure, 1. rock stratum, 2. coal seam, 3. coal mining machine roller, 4. coal petrography cut face, 5. video camera, 6. illuminating lamp, 7. sub-control circuit, 8. explosion-resistant enclosure, 9. form, 10. total control circuit.
Embodiment
Below in conjunction with drawings and Examples, the utility model is described in more detail.
As shown in Figure 1, coal-rock detection system described in the utility model comprises image collecting device, feature deriving means, Images Classification recognition device, storer, display device and control circuit, the input port of the signal output part connected storage of described image collecting device, the output port connection features extraction element of described storer, the output port connection layout of described feature deriving means is as Classification and Identification device, the output port of described Images Classification recognition device connects display device, described control circuit control linkage image collecting device, feature deriving means, Images Classification recognition device, display device and storer, for control and management image collecting device, feature deriving means, Images Classification recognition device and storer.
Described image collecting device comprises illuminating lamp and video camera, described illuminating lamp installs diffuse reflector additional form by organizing LED array more, and symmetrically be arranged on hemisphere face, form a high brightness annular white-light illuminating lamp, wherein, the quantity that LED array is lighted is controlled by control circuit, provides suitable illumination for gathering coal petrography image.Described video camera is a netter's video camera being equipped with charge-coupled image sensor, and have automatic focusing and automatically regulate exposure function, for gathering coal petrography image, its collection action is by control circuit trigging control.
Described feature deriving means mainly comprises photoelectric switching circuit and low-pass filter, photoelectric switching circuit is according to photoelectricity transformation principle, the two-dimensional brightness coal petrography image arrived by image acquisition device transforms one-dimensional frequency signal, and utilize low-pass filter to be filtered out by high-frequency signal, leave a small amount of low-pass signal, as corresponding frequency domain character value, structure frequency domain character vector, and the frequency domain character value extracted is sent to Images Classification recognition device.
Described Images Classification recognition device is used for the frequency domain character value extracted according to feature deriving means, identifies the boundary position of underground coal mine coal-face coal seam and adjoining rock, and regulates coal mining machine roller position according to described boundary position.
In order to meet the requirement of explosion proof of underground coal mine, the utility model is provided with explosion-resistant enclosure, described explosion-resistant enclosure is inlaid with the form of high printing opacity, and described video camera carries out image acquisition operation by this form.
As shown in Figure 2, at coal-face, the rib that coal mining machine roller 3 cut is made up of rock stratum 1 and coal seam 2, video camera 5 is arranged in explosion-resistant enclosure 8, and on explosion-resistant enclosure, inlay high saturating form 9, and video camera 8 is through form 9 Real-time Collection rock stratum 1, the coal petrography that coal seam 2 and cylinder cut are crossed cuts the image in cross section 4, control circuit 7 is communicated with total control circuit 10 by communication interface, receives the steering order of coalcutter, controls the work of video camera according to instruction.
As shown in Figure 3, the course of work of the present utility model is: first by camera acquisition coal-face coal petrography image, then the frequency domain character information of coal petrography image is extracted by photoelectric conversion device and low-pass filter, the boundary position of underground coal mine coal-face coal seam and adjoining rock is identified by Images Classification recognition device, operator obtains related data by display device, regulates coal mining machine roller position according to the data obtained.
Specifically comprise the steps:
A. first by camera acquisition coal-face coal petrography image
First need to be captured in coal under different illumination conditions and rock by the video camera of image collecting device, and coal-rock interface image.
B. image feature information is extracted
By the coal gathered, rock and coal-rock interface image extract the lower frequency region characteristic information of coal petrography image by feature deriving means.
C. the nicety of grading of test pattern Classification and Identification device, and adjust corresponding sorting parameter
The optimum configurations of adjustment Images Classification recognition device, makes the nicety of grading that Images Classification recognition device reaches required.
D. identify coal-rock detection position, regulate coal mining machine roller position
Show the boundary position of underground coal mine coal-face coal seam and adjoining rock on the display apparatus, the coal-rock detection position that operator is shown by display device regulates coal mining machine roller position.
Coal-rock detection system of the present utility model also comprises the camera cleaning device for cleaning the camera of video camera, camera cleaning device should comprise control lever, one end of described control lever arranges miniature dust absorption machine, and the other end of described control lever arranges power supply and switch.When after work a period of time, clean by the camera of camera cleaning device to video camera, avoid contamination by dust camera, cause image acquisition unintelligible, affect the accuracy of recognition result.
Coal-rock detection system of the present utility model carries out coal-rock detection by gathering coal petrography image, do not need the participation of sensor, avoid, in different producing regions, colliery, different sensors is installed, manual intervention is few, save manpower, and, because of the fault of sensor or malfunctioning continuous more emat sensor, greatly can not provide cost savings.
Claims (7)
1. the coal-rock detection system based on image frequency domain feature extraction and Classification and Identification, it is characterized in that: described coal-rock detection system comprises image collecting device, feature deriving means, Images Classification recognition device, storer and control circuit, the input port of the signal output part connected storage of described image collecting device, the output port connection features extraction element of described storer, the output port connection layout of described feature deriving means is as Classification and Identification device, described control circuit control linkage image collecting device, feature deriving means, Images Classification recognition device and storer, described image collecting device comprises illuminating lamp and video camera, described coal-rock detection system also comprises explosion-resistant enclosure, described explosion-resistant enclosure is inlaid with high saturating form, and the camera of described video camera aims at high saturating form.
2. coal-rock detection system according to claim 1, is characterized in that, described illuminating lamp installs diffuse reflector additional form by organizing LED array more, described many groups LED array being arranged on hemisphere face symmetrically.
3. coal-rock detection system according to claim 1, is characterized in that, described video camera is a netter's video camera being equipped with charge-coupled image sensor.
4. coal-rock detection system according to claim 1, is characterized in that, described feature deriving means comprises photoelectric switching circuit and low-pass filter.
5. coal-rock detection system according to claim 1, is characterized in that, described coal-rock detection system also comprises display device, and the signal input port of described display device connects the signal output port of image recognition apparatus.
6. coal-rock detection system according to claim 3, it is characterized in that, described coal-rock detection system also comprises the camera cleaning device for cleaning the camera of video camera, described camera cleaning device comprises control lever, one end of described control lever arranges miniature dust absorption machine, and the other end of described control lever arranges power supply and switch.
7. coal-rock detection system according to claim 6, is characterized in that, described control lever is electric expansion bar.
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| CN106971188A (en) * | 2016-01-14 | 2017-07-21 | 芋头科技（杭州）有限公司 | A kind of pattern recognition device and method |
| CN106971183A (en) * | 2016-01-14 | 2017-07-21 | 芋头科技（杭州）有限公司 | A kind of pattern recognition device and method |
| CN107120116A (en) * | 2017-07-03 | 2017-09-01 | 中国矿业大学 | A kind of coal mining machine roller automatic height regulating device and method based on image recognition |
| CN108779985A (en) * | 2016-08-05 | 2018-11-09 | 株式会社小松制作所 | Construction management system |
| CN109635879A (en) * | 2019-01-08 | 2019-04-16 | 浙江大学 | A kind of Malfunction Diagnosis for Coal-Mining Machine system that parameter is optimal |
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- 2014-11-13 CN CN201420674241.XU patent/CN204331743U/en active Active
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106971188A (en) * | 2016-01-14 | 2017-07-21 | 芋头科技（杭州）有限公司 | A kind of pattern recognition device and method |
| CN106971183A (en) * | 2016-01-14 | 2017-07-21 | 芋头科技（杭州）有限公司 | A kind of pattern recognition device and method |
| CN108779985A (en) * | 2016-08-05 | 2018-11-09 | 株式会社小松制作所 | Construction management system |
| CN108779985B (en) * | 2016-08-05 | 2021-04-06 | 株式会社小松制作所 | Construction management system |
| CN107120116A (en) * | 2017-07-03 | 2017-09-01 | 中国矿业大学 | A kind of coal mining machine roller automatic height regulating device and method based on image recognition |
| CN107120116B (en) * | 2017-07-03 | 2020-01-03 | 中国矿业大学 | Automatic height adjusting device and method for coal mining machine roller based on image recognition |
| CN109635879A (en) * | 2019-01-08 | 2019-04-16 | 浙江大学 | A kind of Malfunction Diagnosis for Coal-Mining Machine system that parameter is optimal |
| CN109635879B (en) * | 2019-01-08 | 2023-04-07 | 浙江大学 | Coal mining machine fault diagnosis system with optimal parameters |
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