CN107649234B - A kind of crusher broken kernel diameter self-checking device and method - Google Patents
A kind of crusher broken kernel diameter self-checking device and method Download PDFInfo
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- CN107649234B CN107649234B CN201710949651.9A CN201710949651A CN107649234B CN 107649234 B CN107649234 B CN 107649234B CN 201710949651 A CN201710949651 A CN 201710949651A CN 107649234 B CN107649234 B CN 107649234B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C4/00—Crushing or disintegrating by roller mills
- B02C4/02—Crushing or disintegrating by roller mills with two or more rollers
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C23/00—Auxiliary methods or auxiliary devices or accessories specially adapted for crushing or disintegrating not provided for in preceding groups or not specially adapted to apparatus covered by a single preceding group
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C23/00—Auxiliary methods or auxiliary devices or accessories specially adapted for crushing or disintegrating not provided for in preceding groups or not specially adapted to apparatus covered by a single preceding group
- B02C23/08—Separating or sorting of material, associated with crushing or disintegrating
- B02C23/10—Separating or sorting of material, associated with crushing or disintegrating with separator arranged in discharge path of crushing or disintegrating zone
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C25/00—Control arrangements specially adapted for crushing or disintegrating
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C4/00—Crushing or disintegrating by roller mills
- B02C4/28—Details
- B02C4/32—Adjusting, applying pressure to, or controlling the distance between, milling members
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- Food Science & Technology (AREA)
- Image Processing (AREA)
- Disintegrating Or Milling (AREA)
Abstract
The invention discloses a kind of crusher broken kernel diameter self-checking device and methods, including sieving plate, loopback belt conveyor, image collecting device, computer and PLC controller, one end of sieving plate is arranged below discharge hole of crusher, the top of loopback belt conveyor is arranged in the other end, the sieving plate is obliquely installed, the side of crusher is arranged in loopback belt conveyor, one end of loopback belt conveyor is connect with crusher feed-inlet, the top of loopback belt conveyor is arranged in by fixed bracket for image collecting device, described image acquisition device is made of mining camera and image pick-up card, mining camera is connect with image pick-up card, image pick-up card is connect with computer, computer is acted by the passage hydraulic cylinder that PLC controller controls crusher.Then the granularity of material after energy real-time detection of the present invention is broken controls crusher and carries out roll gap gap adjustment automatically, can not only adjust in real time, but also degree of regulation is high.
Description
Technical field
The present invention relates to a kind of crusher self-checking device and method, specifically a kind of crusher broken kernel diameter is adjusted automatically
Regulating device and method.
Background technique
Crucial dynamoelectric equipment one of of the crusher as mining listed corporations is the important of guarantee efficient and safe production of coal mine
Production equipment.Due to having substantial connection between crusher's rollers gap and material particle size after cracking, but influence material broken kernel
Degree further includes the charging rate of material and the inlet amount of material, therefore difficult between crusher's rollers gap and material particle size after cracking
To establish direct control planning, material size is caused to be difficult to meet production requirement.In order to detect broken material size
Consequently facilitating adjustment crusher's rollers gap, particle size detection method has counting method, sieve method, Electromagnetic Wave Method etc. at present;It is various
Particle size detection method can only detect granule size, result cannot be fed back to crusher, cause current roll gap gap adjustment can only
Artificial method is taken, can not achieve the automatic adjustment of crusher's rollers gap.
In addition for crusher, roll gap gap cannot be automatically adjusted and increase cost for enterprise, and
And it manually adjusts gap and can not achieve the real-time accurate adjusting of material particle size after cracking.
Summary of the invention
In view of the above existing problems in the prior art, the present invention provides a kind of crusher broken kernel diameter self-checking device and
Then method, the granularity of material after energy real-time detection is broken control crusher and carry out roll gap gap adjustment automatically, not only can be real-time
Adjustment, and degree of regulation is high.
To achieve the goals above, the technical solution adopted by the present invention is that: a kind of crusher broken kernel diameter automatic adjustment dress
It sets, including sieving plate, loopback belt conveyor, image collecting device, computer and PLC controller, one end setting of sieving plate
Below discharge hole of crusher, the other end top of loopback belt conveyor is set, the sieving plate is obliquely installed, loopback band
The side of crusher is arranged in formula conveyer, and one end of loopback belt conveyor is connect with crusher feed-inlet, image collector
The top that loopback belt conveyor is set by fixed bracket is set, described image acquisition device is adopted by mining camera and image
Truck composition, mining camera are connect with image pick-up card, and image pick-up card is connect with computer, and computer is controlled by PLC
Device controls the passage hydraulic cylinder movement of crusher.
Further, the sieving plate is made of multiple steel bars and multiple rollers, and multiple steel bars are arranged side by side, and roller setting exists
Between steel bar.
Further, the inclination angle between the sieving plate and horizontal plane is 20 degree.
Further, the two sides of described image acquisition device are equipped with LED light strip.
A kind of adjusting method of kibbler roll roll gap gap self-checking device, specific steps are as follows:
(1) it needs broken material to enter light kibbler roll from feed inlet to be crushed, broken material passes through discharge port
Discharge crusher simultaneously fall on sieving plate, less than screening sheet separation material directly pass through screening sheet separation fall into lower section received
Collection finally slides to the conveyer belt of loopback belt conveyor greater than the material for sieving sheet separation along sieving plate slide downward;
(2) fall material on the conveyor belt as conveyer belt transports crusher feed-inlet, during transportation material from
When passing through below image collecting device, mining camera is shot, and the image of shooting is passed to figure after signal is converted
As capture card, computer is passed to after then image pick-up card converts signal, computer handles image, specifically:
A, computer carries out median filtering, specific formula to received shooting image are as follows:
G (x, y)=median { f (x-k, y-l), (k, l ∈ W) }
Wherein, f (x, y) and g (x, y) respectively indicates image after original image and processing, and W indicates two dimension pattern plate;
B, binary conversion treatment is carried out to filtered image, according to the gamma characteristic of image, using maximum variance between clusters
Obtain optimal threshold value t*, it is shown below
Above formula meaning is to make inter-class variance in L grey level rangeThe value of t when being maximized, as t*;
By the gray value of each pixel of entire image and optimal threshold value t*It compares, the threshold value that will be greater than or equal to t*Picture
Vegetarian refreshments is set as 1, will be less than threshold value t*Pixel be set as 0;
C, it is split using image of the watershed algorithm to binaryzation;With f (x, y) indicate input picture, g (x,
Y) gradient image is indicated, then gradient image can be calculated by following formula:
D, the material image in entire image is calculated, specifically:
I, the ratio of the total elemental area of material image and the total elemental area of entire image is calculated;If the total pixel faces of material image
Product is S1, and S1 initial value is 1, is successively scanned to each pixel of entire image, if the pixel is that 1, S1 adds 1;If
The pixel is 0, then S1 is constant, and entire image is scanned, and obtained S1 value is the total elemental area of material image;Whole picture figure
As total elemental area is SAlways, SAlwaysValue be entire image pixel number, by the total elemental area S1 of material image and whole picture figure
As total elemental area SAlwaysRatio be denoted as W;
II, it calculates the average value of single material real area: one material being shot by mining camera first
And the real area in the material upright projection to conveyer belt has measured, and is then obtained by image procossing and forms the single material
The elemental area of image, the ratio of the two are H;
From left to right to each pixel of entire image, it is successively scanned by row from the top down, it is each of scanned
Pixel sets 0, and the point that first pixel value scanned is 1 in scanning process is denoted as B1, and carries out coordinate mark to the pixel
Note, then scans the eight connectivity region of the pixel, the point that pixel value in eight connectivity region is 1 is still denoted as B1, by these points
It is same to carry out coordinate label, it repeats the above steps, finds all B1 points, until labeled as in the pixel eight connectivity region of B1
The pixel that no pixel value is 1, then the pixel number that all labels are are the single material image of B1 pixel composition
The shared elemental area in entire image;It then proceedes to be scanned entire image, is 1 by the pixel value obtained for the second time
Point is denoted as B2, repeats the obtaining step of B1, obtains the single material image of the B1 pixel composition shared pixel in entire image
Area;Then repeat scanning and successively obtain B3, the single material image of B4 ... Bn pixel composition is in entire image
Shared elemental area;Until end of scan when pixel is 0 in entire image;The material number for obtaining shooting is n, due to object
The material total elemental area of image is S1, then the elemental area average value of single material image is S1/n, Y is denoted as, due to real area
It is H, i.e., average value=YH of single material real area with the ratio of elemental area, and the single material real area that will be obtained
Average value be denoted as Z;
(3) computer is by the total elemental area S1 of the material image obtained and the total elemental area S of entire imageAlwaysRatio W and
The average value Z of single material real area passes to PLC controller and is analyzed and processed, particular content are as follows:
A, setting two contiguous pixels area ratios is respectively W1 and W2, and wherein W1 < W2, PLC controller carry out W and W1
Compare, such as W < W1, then it is constant to be in high-speed cruising for the feeding web speed of service of loopback belt conveyor;Such as W1≤W < W2,
The then feeding web middling speed operation of PLC controller control loopback belt conveyor;If W≤W2, PLC controller is controlled back
The feeding web low speed of belt conveyor is sent to run;
B, set the critical average value Z1 and Z2 of two material real areas, wherein Z1 < Z2, PLC controller by Z and Z1 into
Row compares, and such as Z < Z1, then PLC controller control passage hydraulic cylinder, which is done, increases roll gap intermittent motion;Such as Z1≤Z≤Z2, then elapse
Hydraulic cylinder is failure to actuate;Such as Z > Z2, then PLC controller control passage hydraulic cylinder, which is done, reduces roll gap intermittent motion, completes primary fragmentation
The adjustment of machine roll gap gap;
(4) it after the adjustment of roll gap gap each time, repeats the above steps, until meeting W1≤W≤W2, Z1≤Z≤Z2 two
After a condition, PLC controller fails, and completes the adjustment of crusher's rollers gap.
Compared with prior art, the present invention using loopback belt conveyor, sieving plate, image collecting device, computer and
The mode that PLC controller combines, when broken material size is less than or equal to the granularity of setting, material will pass through screening
Plate, which is fallen, to be collected;When broken material size is greater than the granularity of setting, the screened plate of these materials is slid to loopback
On belt conveyor, loopback belt conveyor drives it to be transmitted back at crusher feed-inlet, is captured by image collecting device
Material image, then computer carries out image procossing, and sends processing result to PLC controller, is controlled according to different situations PLC
The device control feeding web speed of service processed and crusher passage hydraulic cylinder movement, so as to adjust roll gap gap, realize broken
Machine rolls the real-time automatic adjustment of gap, in addition will not influence light kibbler roll normal work by the way of Image Acquisition;
Therefore the present invention can not only adjust in real time, but also degree of regulation is high.
Detailed description of the invention
Fig. 1 is overall structure diagram of the invention;
Fig. 2 is the layout drawing of image collecting device and LED light strip in the present invention;
Fig. 3 is work flow diagram of the invention.
Wherein: 1, crusher feed-inlet, 2, crusher, 3, discharge hole of crusher, 4, sieving plate, 5, loopback belt conveying
Machine, 6, image collecting device, 7, LED light strip.
Specific embodiment
The invention will be further described below.
As shown in Figure 1 to Figure 3, a kind of crusher broken kernel diameter self-checking device, including sieving plate 4, loopback belt are defeated
Machine 5, image collecting device 6, computer and PLC controller are sent, one end of sieving plate 4 is arranged below discharge hole of crusher 3, is another
The top of loopback belt conveyor 5 is arranged in one end, and the sieving plate 4 is obliquely installed, and the setting of loopback belt conveyor 5 is broken
One end of the side of machine 2, loopback belt conveyor 5 is connect with crusher feed-inlet 1, and image collecting device 6 passes through fixed bracket
The top of loopback belt conveyor 5 is set, and described image acquisition device 6 is made of mining camera and image pick-up card, mine
It is connect with camera with image pick-up card, image pick-up card is connect with computer, and computer controls crusher by PLC controller
2 passage hydraulic cylinder movement.
Further, the sieving plate 4 is made of multiple steel bars and multiple rollers, and multiple steel bars are arranged side by side, roller setting
Between steel bar.The resistance that broken material slides on sieving plate 4 can be reduced by the way of roller, to prevent granularity
There is a situation where block on sieving plate 4 for excessive material lagging.
Further, the inclination angle between the sieving plate 4 and horizontal plane is 20 degree.Material can be enable to protect using this angle
A stabilized speed slide downward is held, the material for being less than or equal to setting granularity can not only fallen by sieving plate 4, grain can be also made
Biggish material is spent smoothly to be slipped on loopback belt conveyor 5.
Further, the two sides of described image acquisition device 6 are equipped with LED light strip 7.This LED light strip 7 is set, can be sent out
Out on part loopback belt conveyor 5 corresponding to the bright shooting of stable illumination, to make the image of mining camera shooting more
Clearly.
A kind of adjusting method of kibbler roll roll gap gap self-checking device, specific steps are as follows:
(1) it needs broken material to enter light kibbler roll 2 from feed inlet to be crushed, broken material passes through discharge port
Discharge crusher 2 simultaneously fall on sieving plate 4, less than 4 gap of sieving plate material directly pass through 4 gap of sieving plate fall into lower section into
Row is collected, greater than 4 gap of sieving plate material along 4 slide downward of sieving plate, it is final slide it is defeated to loopback belt conveyor 5
It send and takes;
(2) fall material on the conveyor belt as conveyer belt transports crusher feed-inlet 1, during transportation material from
When passing through below image collecting device 6, mining camera is shot, and the image of shooting is passed to figure after signal is converted
As capture card, computer is passed to after then image pick-up card converts signal, computer handles image, specifically:
A, computer to received shooting image carry out median filtering, median filtering to noise have it is good filter out effect,
Especially while filtering out noise, the edge of signal, specific formula can be protected are as follows:
G (x, y)=median { f (x-k, y-l), (k, l ∈ W) }
Wherein, f (x, y) and g (x, y) respectively indicates image after original image and processing, and W indicates two dimension pattern plate;
B, binary conversion treatment is carried out to filtered image, according to the gamma characteristic of image, using maximum variance between clusters
Obtain optimal threshold value t*, it is shown below
Above formula meaning is to make inter-class variance in L grey level rangeThe value of t when being maximized, as t*;
By the gray value of each pixel of entire image and optimal threshold value t*It compares, the threshold value that will be greater than or equal to t*Picture
Vegetarian refreshments is set as 1, will be less than threshold value t*Pixel be set as 0;Pass through threshold value t*Entire image is divided into background image and material image
Two parts;
C, it is split using image of the watershed algorithm to binaryzation;With f (x, y) indicate input picture, g (x,
Y) gradient image is indicated, then gradient image can be calculated by following formula:
D, the material image in entire image is calculated, specifically:
I, the ratio of the total elemental area of material image and the total elemental area of entire image is calculated;If the total pixel faces of material image
Product is S1, and S1 initial value is 1, is successively scanned to each pixel of entire image, if the pixel is that 1, S1 adds 1;If
The pixel is 0, then S1 is constant, and entire image is scanned, and obtained S1 value is the total elemental area of material image;Whole picture figure
As total elemental area is SAlways, SAlwaysValue be entire image pixel number, by the total elemental area S1 of material image and whole picture figure
As total elemental area SAlwaysRatio be denoted as W;
II, it calculates the average value of single material real area: one material being shot by mining camera first
And the real area in the material upright projection to conveyer belt has measured, effect of vibration when due to gravity and transport, material is automatic
Adjustment makes it that can guarantee Maximum Contact area with conveyer belt, to guarantee the stability of its transport, is then obtained by image procossing
The elemental area of the single material image is formed out, and the ratio of the two is H;
From left to right to each pixel of entire image, it is successively scanned by row from the top down, does not avoid repeating to sweep
It retouches, scanned each pixel sets 0, and the point that first pixel value scanned is 1 in scanning process is denoted as B1, and to the picture
Vegetarian refreshments carries out coordinate label, then scans the eight connectivity region of the pixel, and the point that pixel value in eight connectivity region is 1 is still remembered
For B1, these are put into same progress coordinate label, repeats the above steps, finds all B1 points, until being labeled as the pixel of B1
The pixel for being 1 without pixel value in point eight connectivity region, then the pixel number that all labels are are B1 pixel composition
Single material image in entire image shared elemental area;It then proceedes to be scanned entire image, will be second
To pixel value be 1 point be denoted as B2, repeat the obtaining step of B1, obtain the single material image of B1 pixel composition in whole picture
Shared elemental area in image;Then repeat scanning and successively obtain B3, the single material figure of B4 ... Bn pixel composition
As the shared elemental area in entire image;Until end of scan when pixel is 0 in entire image;Obtain the material of shooting
Number is n, and since the total elemental area of material image is S1, then the elemental area average value of single material image is S1/n, is denoted as
Y, since the ratio of real area and elemental area is H, i.e., average value=YH of single material real area, and the list that will be obtained
The average value of a material real area is denoted as Z;
(3) computer is by the total elemental area S1 of the material image obtained and the total elemental area S of entire imageAlwaysRatio W and
The average value Z of single material real area passes to PLC controller and is analyzed and processed, particular content are as follows:
A, setting two contiguous pixels area ratios is respectively W1 and W2, and wherein W1 < W2, PLC controller carry out W and W1
Compare, such as W < W1, then it is constant to be in high-speed cruising for the feeding web speed of service of loopback belt conveyor 5;Such as W1≤W < W2,
The then feeding web middling speed operation of PLC controller control loopback belt conveyor 5;If W≤W2, PLC controller control
The feeding web low speed of loopback belt conveyor 5 is run;
B, set the critical average value Z1 and Z2 of two material real areas, wherein Z1 < Z2, PLC controller by Z and Z1 into
Row compares, and such as Z < Z1, then PLC controller control passage hydraulic cylinder, which is done, increases roll gap intermittent motion;Such as Z1≤Z≤Z2, then elapse
Hydraulic cylinder is failure to actuate;Such as Z > Z2, then PLC controller control passage hydraulic cylinder, which is done, reduces roll gap intermittent motion, completes primary fragmentation
The adjustment of machine roll gap gap;
(4) it after the adjustment of roll gap gap each time, repeats the above steps, until meeting W1≤W≤W2, Z1≤Z≤Z2 two
After a condition, PLC controller fails, and completes the adjustment of crusher's rollers gap.
Claims (4)
1. a kind of crusher broken kernel diameter Automatic adjustment method, which is characterized in that the crusher broken kernel diameter of use automatically adjusts
Device includes sieving plate, loopback belt conveyor, image collecting device, computer and PLC controller, one end setting of sieving plate
Below discharge hole of crusher, the other end top of loopback belt conveyor is set, the sieving plate is obliquely installed, loopback band
The side of crusher is arranged in formula conveyer, and one end of loopback belt conveyor is connect with crusher feed-inlet, image collector
The top that loopback belt conveyor is set by fixed bracket is set, described image acquisition device is adopted by mining camera and image
Truck composition, mining camera are connect with image pick-up card, and image pick-up card is connect with computer, and computer is controlled by PLC
Device controls the passage hydraulic cylinder movement of crusher, specific work steps are as follows:
(1) it needs broken material to enter light kibbler roll from feed inlet to be crushed, broken material is discharged by discharge port
Crusher is simultaneously fallen on sieving plate, less than screening sheet separation material directly pass through screening sheet separation fall into lower section be collected,
Greater than the material for sieving sheet separation along sieving plate slide downward, finally slide to the conveyer belt of loopback belt conveyor;
(2) material on the conveyor belt is fallen as conveyer belt transports crusher feed-inlet, material is from image during transportation
When passing through below acquisition device, mining camera is shot, and the image of shooting is passed to image after signal is converted and is adopted
Truck passes to computer after then image pick-up card converts signal, computer handles image, specifically:
A, computer carries out median filtering, specific formula to received shooting image are as follows:
G (x, y)=median { f (x-k, y-l), (k, l ∈ W) }
Wherein, f (x, y) and g (x, y) respectively indicates image after original image and processing, and W indicates two dimension pattern plate;
B, binary conversion treatment is carried out to filtered image to be obtained according to the gamma characteristic of image using maximum variance between clusters
Optimal threshold value t*, it is shown below
Above formula meaning is to make inter-class variance in L grey level rangeThe value of t when being maximized, as t*;
By the gray value of each pixel of entire image and optimal threshold value t*It compares, the threshold value that will be greater than or equal to t*Pixel
It is set as 1, threshold value t will be less than*Pixel be set as 0;
C, it is split using image of the watershed algorithm to binaryzation;Input picture, g (x, y) table are indicated with f (x, y)
Show gradient image, then gradient image can be calculated by following formula:
D, the material image in entire image is calculated, specifically:
I, the ratio of the total elemental area of material image and the total elemental area of entire image is calculated;If the total elemental area of material image is
S1, S1 initial value are 1, are successively scanned to each pixel of entire image, if the pixel is that 1, S1 adds 1;If the picture
Vegetarian refreshments is 0, then S1 is constant, and entire image is scanned, and obtained S1 value is the total elemental area of material image;Entire image is total
Elemental area is SAlways, SAlwaysValue be entire image pixel number, the total elemental area S1 of material image and entire image is total
Elemental area SAlwaysRatio be denoted as W;
II, it calculates the average value of single material real area: one material being shot and is somebody's turn to do by mining camera first
Real area in material upright projection to conveyer belt has measured, and is then obtained by image procossing and forms the single material image
Elemental area, the ratio of the two is H;
From left to right to each pixel of entire image, it is successively scanned by row from the top down, scanned each pixel
Point sets 0, and the point that first pixel value scanned is 1 in scanning process is denoted as B1, and carries out coordinate label to the pixel, so
The eight connectivity region for scanning the pixel afterwards, by pixel value in eight connectivity region be 1 point be still denoted as B1, by these point equally into
Row coordinate label, repeats the above steps, finds all B1 points, until being labeled as in the pixel eight connectivity region of B1 without pixel
The pixel that value is 1, then the pixel number that all labels are are the single material image of B1 pixel composition in whole picture
Shared elemental area in image;It then proceedes to be scanned entire image, the point that the pixel value obtained for the second time is 1 is denoted as
B2, repeat B1 obtaining step, obtain B1 pixel composition single material image in entire image shared elemental area;So
After repeat scanning and successively obtain B3, the single material image of B4 ... Bn pixel composition shared pixel in entire image
Area;Until end of scan when pixel is 0 in entire image;The material number for obtaining shooting is n, since material image is total
Elemental area is S1, then the elemental area average value of single material image is S1/n, Y is denoted as, due to real area and pixel faces
Long-pending ratio is H, i.e., average value=YH of single material real area, and by the average value of obtained single material real area
It is denoted as Z;
(3) computer is by the total elemental area S1 of the material image obtained and the total elemental area S of entire imageAlwaysRatio W and single
The average value Z of material real area passes to PLC controller and is analyzed and processed, particular content are as follows:
A, setting two contiguous pixels area ratios is respectively W1 and W2, and wherein W1 < W2, PLC controller compare W and W1
Compared with such as W < W1, then it is constant to be in high-speed cruising for the feeding web speed of service of loopback belt conveyor;Such as W1≤W < W2, then
PLC controller controls the feeding web middling speed operation of loopback belt conveyor;If W≤W2, PLC controller controls loopback
The feeding web low speed of belt conveyor is run;
B, the critical average value Z1 and Z2 of two material real areas is set, wherein Z1 < Z2, PLC controller compare Z and Z1
Compared with such as Z < Z1, then PLC controller control passage hydraulic cylinder, which is done, increases roll gap intermittent motion;Such as Z1≤Z≤Z2, then elapse hydraulic
Cylinder is failure to actuate;Such as Z > Z2, then PLC controller control passage hydraulic cylinder, which is done, reduces roll gap intermittent motion, completes preliminary crusher roller
Gap adjustment;
(4) it after the adjustment of roll gap gap each time, repeats the above steps, until meeting W1≤W≤W2, two items of Z1≤Z≤Z2
After part, PLC controller fails, and completes the adjustment of crusher's rollers gap.
2. a kind of crusher broken kernel diameter Automatic adjustment method according to claim 1, which is characterized in that the sieving plate
It is made of multiple steel bars and multiple rollers, multiple steel bars are arranged side by side, and roller is arranged between steel bar.
3. a kind of crusher broken kernel diameter Automatic adjustment method according to claim 1, which is characterized in that the sieving plate
Inclination angle between horizontal plane is 20 degree.
4. a kind of crusher broken kernel diameter Automatic adjustment method according to claim 1, which is characterized in that described image is adopted
The two sides of acquisition means are equipped with LED light strip.
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