CN219791494U - AI image discernment vertical tear detector - Google Patents
AI image discernment vertical tear detector Download PDFInfo
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- CN219791494U CN219791494U CN202321023964.9U CN202321023964U CN219791494U CN 219791494 U CN219791494 U CN 219791494U CN 202321023964 U CN202321023964 U CN 202321023964U CN 219791494 U CN219791494 U CN 219791494U
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- transparent sleeve
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- recognition
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- 238000004140 cleaning Methods 0.000 claims description 8
- 238000007790 scraping Methods 0.000 claims description 4
- 238000009434 installation Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 abstract description 10
- 239000000463 material Substances 0.000 description 5
- 239000011521 glass Substances 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 239000000428 dust Substances 0.000 description 3
- 230000005494 condensation Effects 0.000 description 2
- 238000009833 condensation Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000010191 image analysis Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000010865 sewage Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Chemical compound O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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Abstract
The utility model discloses an AI image recognition longitudinal tearing detector, which relates to the field of conveyor belt detection equipment and comprises a conveyor belt provided with a bearing section and a return section, a photographing unit, an auxiliary light source and a bracket for installing the photographing unit and the auxiliary light source, wherein the photographing unit is positioned at one side of the auxiliary light source and is mutually perpendicular to the running route of the conveyor belt, and the auxiliary light source respectively projects linear light spots to the lower surface of the bearing section and the upper surface of the return section of the conveyor belt, and the linear light spots are parallel to the running route of the conveyor belt. The utility model has the advantages of accurate detection and good practicability.
Description
Technical Field
The utility model relates to the field of conveyor belt detection equipment, in particular to an AI image recognition longitudinal tearing detector.
Background
At present, the visual-based longitudinal tearing detector on the market only detects the lower surface of the bearing section of the conveying belt, and can detect the longitudinal tearing accident of the conveying belt only when the longitudinal tearing accident of the conveying belt occurs at the front end of the detector and the position of the conveying belt at the tearing part is detected by the tearing detector, in practice, the condition and the position of the longitudinal tearing of the conveying belt have a lot of uncertainties, and when the longitudinal tearing accident of the conveying belt occurs at the rear end of the detection position of the detector, the current visual-based longitudinal tearing detector scheme can only identify and output an alarm when the period of rotation of the conveying belt is reached, and at the moment, the conveying belt is completely scrapped and causes huge economic and safety accidents.
The belt longitudinal tearing detection device disclosed by publication No. CN218144050U on publication No. 2022.12.27 and the belt longitudinal tearing detection device based on machine vision disclosed by publication No. CN205526435U on publication No. 2016.08.31 only detect the lower surface of the conveyor belt of the bearing section, and the system and the device reliability are greatly affected due to severe field environment of the conveyor belt, dust, moisture and other conditions, so that the protection of longitudinal tearing accidents of the conveyor belt is insufficient.
Disclosure of Invention
In order to overcome the defects of the background technology, the utility model provides the AI image recognition longitudinal tearing detector which is accurate in detection and good in practicability.
The utility model adopts the technical scheme that: the utility model provides a AI image recognition vertical tear detector, its is including being equipped with the conveyer belt that bears section and return stroke section, still including being located take a photograph unit, auxiliary light source and the support that supplies to take a photograph unit and auxiliary light source installation between section and the return stroke section, take a photograph the unit and be located one side of auxiliary light source and with the operation route mutually perpendicular of conveyer belt, auxiliary light source throws out the linear facula to bearing section lower surface and conveyer belt return stroke section upper surface respectively, the linear facula is parallel with the operation route of conveyer belt.
The photographing unit comprises a first transparent sleeve rotatably mounted on the support and a camera arranged inside the first transparent sleeve, and a mounting shaft which is in rotary fit with the first transparent sleeve and is used for fixedly mounting the camera is arranged at the center of the first transparent sleeve.
The photographing unit further comprises a cleaning assembly, and the cleaning assembly comprises:
the rollers are rotatably arranged on the bracket and positioned on two sides of the first transparent sleeve;
the belt brush is connected with the rollers at two sides in a linkage way, and the surface of the belt brush is in friction fit with the circumferential surface of the first transparent sleeve;
and the first driving piece is arranged on the bracket and is connected with the roller in a linkage way.
The cleaning assembly further comprises a collecting cylinder, the collecting cylinder wraps the roller, a first scraping plate corresponding to the belt brush is arranged on the inner side wall of the collecting cylinder, and a sewage outlet is formed in the bottom of the collecting cylinder.
The back of the bracket is provided with a vision processing host connected with the camera.
The auxiliary light source comprises a second transparent sleeve, a conical reflector arranged in the second transparent sleeve and a laser emitter arranged outside the second transparent sleeve, a through hole is formed in the center of the second transparent sleeve, and the conical reflector, the laser emitter and the through hole are positioned on the same straight line; the conical surface of the conical reflector is a smooth reflecting surface.
The second transparent sleeve is rotatably arranged on the bracket, and one end of the second transparent sleeve is provided with a second driving piece for driving the second transparent sleeve to rotate.
The beneficial effects of the utility model are as follows: according to the technical scheme, the lower surface of the bearing section and the upper surface of the return section of the conveying belt can be detected at the same time, and when the longitudinal tearing accident of the conveying belt occurs before the position of the detector and passes through the detector, the image information shot by the shooting unit can identify the longitudinal tearing information of the conveying belt and output an alarm. When the longitudinal tearing fault of the conveyor belt occurs at the rear end of the position of the detector, the material of the carrying section of the conveyor belt can be spilled on the upper surface of the return section of the conveyor belt and reversely conveyed to the position of the detector by the return section of the conveyor belt, the image information shot by the shooting unit can identify the material on the upper surface of the return section of the conveyor belt, and an alarm is output according to a condition threshold value; has the advantages of accurate detection and good practicability.
Drawings
Fig. 1 is a schematic structural diagram of an AI image recognition longitudinal tear detector according to an embodiment of the present utility model.
Fig. 2 is a schematic structural diagram of a photographing unit.
Fig. 3 is a schematic structural diagram of the auxiliary light source.
Detailed Description
Embodiments of the utility model are further described below with reference to the accompanying drawings:
as shown in the figure, the AI image recognition longitudinal tear detector comprises a conveying belt 1 provided with a bearing section 2 and a return section 3, a photographing unit 4 positioned between the bearing section 2 and the return section 3, an auxiliary light source 5 and a bracket 6 for installing the photographing unit 4 and the auxiliary light source 5, wherein the photographing unit 4 is positioned at one side of the auxiliary light source 5 and is mutually perpendicular to the running route of the conveying belt 1, the auxiliary light source 5 respectively projects linear light spots 8 to the lower surface of the bearing section 2 and the upper surface of the return section 3 of the conveying belt 1, and the linear light spots are parallel to the running route of the conveying belt 1; according to the technical scheme, the lower surface of the bearing section and the upper surface of the return section of the conveying belt can be detected at the same time, and when the longitudinal tearing accident of the conveying belt occurs before the position of the detector and passes through the detector, the image information shot by the shooting unit can identify the longitudinal tearing information of the conveying belt and output an alarm. When the longitudinal tearing fault of the conveyor belt occurs at the rear end of the position of the detector, the material of the carrying section of the conveyor belt can be spilled on the upper surface of the return section of the conveyor belt and reversely conveyed to the position of the detector by the return section of the conveyor belt, the image information shot by the shooting unit can identify the material on the upper surface of the return section of the conveyor belt, and an alarm is output according to a condition threshold value; has the advantages of accurate detection and good practicability.
The photographing unit 4 comprises a first transparent sleeve 41 rotatably installed on the bracket 6 and a camera 42 arranged in the first transparent sleeve 41, an installation shaft 43 which is in rotary fit with the first transparent sleeve 41 and is used for fixedly installing the camera 42 is arranged in the center of the first transparent sleeve 41, the first transparent sleeve adopts transparent glass, and the camera adopts a high-speed industrial camera; the high-speed industrial camera shoots images at a frame rate of 50-60 per second, and judges the integrality and the difference of linear light spots in the images to realize the longitudinal tearing detection of the conveying belt.
The photographing unit 4 further comprises a cleaning assembly comprising:
a drum 44 rotatably installed on the bracket 6 at both sides of the first transparent sleeve 41;
a belt brush 45 which is connected with the rollers 44 on both sides in a linkage manner and the surface of which is in friction fit with the circumferential surface of the first transparent sleeve 41;
a first driving member 46 mounted on the bracket 6 and coupled to the drum 44;
the first driving piece adopts a gear motor to drive one of the rollers to rotate, the belt brush is driven to rotate, and the self-contained flexible brush is used for cleaning dust of the first transparent sleeve;
the first transparent sleeve can be driven by the brushless motor to rotate, and the rotating direction is opposite to that of the belt brush;
the cleaning assembly further comprises a collecting cylinder 47, the collecting cylinder 47 wraps the roller 44, a first scraping plate (not shown) corresponding to the belt brush 45 is arranged on the inner side wall of the collecting cylinder 47, a drain outlet 49 is arranged at the bottom of the collecting cylinder 47, dirt on the belt brush can be scraped off by the first scraping plate, falls into the collecting cylinder and is discharged through the drain outlet, and secondary pollution can not be generated in the photographing unit.
The back of the bracket 6 is provided with a vision processing host 7 connected with a camera 42; the vision processing host is used for the operation of an image analysis algorithm, and high temperature is easy to generate, so that the vision processing host needs to be deployed at a position far away from a high-speed industrial camera; so that the condensation phenomenon can not occur on the glass surface of the first transparent sleeve.
The auxiliary light source 5 comprises a second transparent sleeve 51, a conical reflector 52 arranged in the second transparent sleeve 51 and a laser emitter 53 arranged outside the second transparent sleeve 51, a through hole 54 is arranged in the center of the second transparent sleeve 51, the conical reflector 52, the laser emitter 53 and the through hole are positioned on the same straight line, and the conical surface of the conical reflector is a smooth reflecting surface; the laser transmitter adopts a punctiform laser, and a heat source is easy to generate, so that the laser transmitter is arranged outside the second transparent sleeve, irradiates a conical reflector arranged on the inner axis of the second transparent sleeve through a through hole on the axis of the second transparent sleeve, generates annular light rays, penetrates through the second transparent sleeve and projects outwards, and forms linear light spots on the lower surface of the carrying section and the upper surface of the return section of the conveyer belt.
The second transparent sleeve 51 is rotatably mounted on the bracket 6, and one end of the second transparent sleeve is provided with a second driving member 55 for driving the second transparent sleeve to rotate; the second transparent sleeve is started by the second driving piece and can alternately run at high speed and low speed, and dust dirt and water vapor adhered on the surface of the glass can be separated by centrifugal force when the second transparent sleeve rotates at high speed; and the surface of the second transparent sleeve of the auxiliary light source can not generate dew condensation phenomenon.
Wherein the second driving piece adopts brushless motor, and the transparent glass material of second transparent sleeve adoption.
In the description of the present utility model, it should be noted that the terms "center", "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present utility model and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present utility model. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present utility model, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present utility model will be understood in specific cases by those of ordinary skill in the art. Furthermore, in the description of the present utility model, unless otherwise indicated, the meaning of "a plurality" is two or more.
The skilled person will know: while the utility model has been described in terms of the foregoing embodiments, the inventive concepts are not limited to the utility model, and any modifications that use the inventive concepts are intended to be within the scope of the appended claims.
Claims (8)
1. AI image recognition longitudinal tear detector, comprising a conveyor belt (1) provided with a carrying section (2) and a return section (3), characterized in that: still including being located take a picture unit (4), auxiliary light source (5) and supply between loading segment (2) and return stroke segment (3) take a picture unit (4) and support (6) of auxiliary light source (5) installation, take a picture unit (4) be located one side of auxiliary light source (5) and with the operational route mutually perpendicular of conveyer belt (1), auxiliary light source (5) throw out linear facula (8) respectively to loading segment (2) lower surface and conveyer belt (1) return stroke segment (3) upper surface, linear facula is parallel with the operational route of conveyer belt (1).
2. The AI image-recognition longitudinal tear detector of claim 1, wherein: the photographing unit (4) comprises a first transparent sleeve (41) rotatably mounted on the support (6) and a camera (42) arranged inside the first transparent sleeve (41), and a mounting shaft (43) which is in rotary fit with the first transparent sleeve (41) and is used for fixedly mounting the camera (42) is arranged at the center of the first transparent sleeve (41).
3. The AI image-recognition longitudinal tear detector of claim 2, wherein: the photographing unit (4) further comprises a cleaning assembly comprising:
a drum (44) rotatably mounted on the bracket (6) and located at both sides of the first transparent sleeve (41);
a belt brush (45) which is connected with the rollers (44) at two sides in a linkage way, and the surface of which is in friction fit with the circumferential surface of the first transparent sleeve (41);
and a first driving member (46) mounted on the bracket (6) and connected with the roller (44) in a linkage manner.
4. The AI image-recognition longitudinal tear detector of claim 3, wherein: the cleaning assembly further comprises a collecting cylinder (47), the collecting cylinder (47) wraps the roller (44), a first scraping plate corresponding to the belt brush (45) is arranged on the inner side wall of the collecting cylinder (47), and a drain outlet (49) is formed in the bottom of the collecting cylinder (47).
5. The AI image-recognition longitudinal tear detector of claim 2, wherein: the back of the bracket (6) is provided with a vision processing host (7) connected with a camera (42).
6. The AI image-recognition longitudinal tear detector of claim 1, wherein: the auxiliary light source (5) comprises a second transparent sleeve (51), a conical reflector (52) arranged in the second transparent sleeve (51) and a laser emitter (53) arranged outside the second transparent sleeve (51), a through hole (54) is formed in the center of the second transparent sleeve (51), and the conical reflector (52), the laser emitter (53) and the through hole are positioned on the same straight line; the conical surface of the conical reflector is a smooth reflecting surface.
7. The AI image-recognition longitudinal tear detector of claim 6, wherein: the second transparent sleeve (51) is rotatably arranged on the bracket (6), and one end of the second transparent sleeve is provided with a second driving piece (55) for driving the second transparent sleeve to rotate.
8. The AI image-recognition longitudinal tear detector of claim 1, wherein: the camera is characterized in that a first cover body (61) for covering the photographing unit and a second cover body (62) for covering the auxiliary light source are arranged on the support (6), and strip-shaped grooves (63) for emitting light are formed in the upper surface and the lower surface of the second cover body (62).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202321023964.9U CN219791494U (en) | 2023-05-04 | 2023-05-04 | AI image discernment vertical tear detector |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202321023964.9U CN219791494U (en) | 2023-05-04 | 2023-05-04 | AI image discernment vertical tear detector |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN219791494U true CN219791494U (en) | 2023-10-03 |
Family
ID=88186295
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202321023964.9U Active CN219791494U (en) | 2023-05-04 | 2023-05-04 | AI image discernment vertical tear detector |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN219791494U (en) |
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2023
- 2023-05-04 CN CN202321023964.9U patent/CN219791494U/en active Active
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| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| EE01 | Entry into force of recordation of patent licensing contract |
Assignee: Wenzhou Dongtou Yiwei Automation Equipment Factory Assignor: WENZHOU YITONG AUTOMATION EQUIPMENT Co.,Ltd. Contract record no.: X2023980047233 Denomination of utility model: An AI image recognition longitudinal tear detector Granted publication date: 20231003 License type: Common License Record date: 20231116 |
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| EE01 | Entry into force of recordation of patent licensing contract |