CN212721314U - Rake type concentration tank sedimentation layer thickness detection device based on image recognition - Google Patents
Rake type concentration tank sedimentation layer thickness detection device based on image recognition Download PDFInfo
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- CN212721314U CN212721314U CN202021885817.9U CN202021885817U CN212721314U CN 212721314 U CN212721314 U CN 212721314U CN 202021885817 U CN202021885817 U CN 202021885817U CN 212721314 U CN212721314 U CN 212721314U
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- concentration tank
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- bevel gear
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Abstract
The utility model discloses a rake type concentration tank sedimentation layer thickness detection device based on image recognition, which comprises a fixed plate and an image recognition mechanism, wherein a motor is installed on the fixed plate, the output end of the motor is connected with a rotating shaft, and the end of the rotating shaft is connected with a first bevel gear; a second bevel gear is rotatably connected to the fixed plate and meshed with the first bevel gear; a screw rod is in threaded connection with the second conical gear, a connecting rod is mounted at the top end of the screw rod, and an infrared distance meter is mounted at the bottom end of the connecting rod; the guide rod is connected to the end face of the bottom of the fixed plate, the sliding block is connected to the guide rod in a sliding mode, the threaded rod is connected with the sliding block in a rotating mode, and the camera is installed at the bottom end of the sliding block. The utility model provides a detection device combines wheeled counter and infrared distance meter to have improved the detection precision greatly. The interference of the complex environment in the concentration tank on the thickness detection of the coal slime layer and the error caused by the length of the steel wire rope are overcome, and the detection precision of the thickness of the coal slime layer in the concentration tank is improved.
Description
Technical Field
The utility model relates to a concentrated sedimentation tank sedimentation layer thickness detects technical field, especially relates to a concentrated pond sedimentation layer thickness detection device of harrow formula based on image recognition.
Background
In the production and operation process of a coal preparation plant, rake pressing accidents can be caused due to the fact that the thickness of a sedimentation layer of a concentration tank is too large, and therefore normal production of coal preparation is affected; in addition, when the concentration and dosing automation construction is carried out, the thickness of the sedimentation layer in the concentration tank is an important parameter participating in dosing amount adjustment, so that the thickness detection of the sedimentation layer is particularly important.
The existing detection means of the thickness of the sedimentation layer mainly comprises ultrasonic ranging and detection of the thickness of the sedimentation layer in the concentration tank by an image recognition technology. However, the ultrasonic distance measurement mode has larger measurement error due to the influence of complex environment in the concentration tank; when the thickness of the sedimentation layer of the concentration tank is detected by the image recognition technology, the steel wire rope is used for connecting the camera, the descending distance of the camera is calculated by the number of circles descending the steel wire rope, so that the height of the sedimentation layer of the concentration tank is calculated, and then the thickness of the sedimentation layer of the concentration tank is calculated.
SUMMERY OF THE UTILITY MODEL
The utility model aims at providing a concentrated pond sedimentation layer thickness detection device of harrow formula based on image recognition to solve the problem that above-mentioned prior art exists.
In order to achieve the above object, the utility model provides a following scheme: the utility model provides a detection device for the thickness of a sedimentation layer of a rake concentration tank based on image recognition, which comprises a fixed plate and an image recognition mechanism arranged on the fixed plate, wherein a motor is fixedly arranged on the fixed plate, the output end of the motor is connected with a rotating shaft through a coupler, and the tail end of the rotating shaft is fixedly connected with a first bevel gear; a second bevel gear is rotatably connected to the fixed plate and meshed with the first bevel gear; a threaded hole is formed in the second conical gear, a screw rod is connected with the threaded hole in a threaded manner, the top end of the screw rod is rotatably connected with a connecting rod, and an infrared distance meter is fixedly mounted at the bottom of the tail end of the connecting rod; fixedly connected with guide bar on the fixed plate bottom terminal surface, sliding connection has the slider on the guide bar, the screw rod passes the fixed plate with the slider rotates to be connected, the camera is installed to the slider bottom.
Preferably, the image recognition mechanism comprises a PLC control module and an image recognition and operation display module, and the PLC control module is electrically connected with the image recognition and operation display module; the motor and the infrared distance meter are electrically connected with the PLC control module, and the camera is electrically connected with the image recognition and operation display module.
Preferably, the fixed plate is rotatably connected with a wheel type counter, the rotating shaft is fixedly connected with a friction wheel, the wheel type counter is meshed with the friction wheel and is electrically connected with the PLC control module.
Preferably, the bottom of the sliding block is fixedly connected with a mounting bracket, and the camera is fixedly mounted at the tail end of the mounting bracket.
Preferably, the fixed plate is fixedly provided with a shaft seat, the shaft seat is provided with a bearing, and the rotating shaft is rotatably connected with the shaft seat through the bearing.
Preferably, the fixed plate is fixedly connected with a telescopic rod, and the tail end of the telescopic rod is fixedly connected with the connecting rod.
The utility model discloses a following technological effect: the utility model discloses use the thick detection area of concentrated pond sedimentation layer with image recognition technology, overcome the drawback of current detection mode. The detection precision is greatly improved by combining the wheel type counter and the infrared distance meter. The interference of the complex environment in the concentration tank on the thickness detection of the coal slime layer and the error of the calculated height of the clarification layer of the concentration tank caused by the length of the steel wire rope are overcome, and the detection precision of the thickness of the coal slime layer in the concentration tank is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive labor.
FIG. 1 is a schematic structural view of the detecting device of the present invention;
FIG. 2 is a schematic view of the connection between the wheel counter and the friction wheel;
FIG. 3 is a schematic view of the connection of the image recognition mechanism;
the device comprises a fixing plate 1, a motor 2, a rotating shaft 3, a first bevel gear 4, a second bevel gear 5, a screw rod 6, a connecting rod 7, an infrared distance meter 8, a guide rod 9, a sliding block 10, a camera 11, a PLC (programmable logic controller) control module 12, an image recognition and operation display module 13, a wheel type counter 14, a friction wheel 15, a mounting support 16, a shaft seat 17 and a telescopic rod 18.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention is described in detail with reference to the accompanying drawings and the detailed description.
The utility model provides a detection device for the thickness of a sedimentation layer of a rake type concentration tank based on image recognition, which comprises a fixed plate 1 and an image recognition mechanism arranged on the fixed plate 1, wherein a motor 2 is fixedly arranged on the fixed plate 1, the output end of the motor 2 is connected with a rotating shaft 3 through a coupling, and the tail end of the rotating shaft 3 is fixedly connected with a first bevel gear 4; a second bevel gear 5 is rotatably connected to the fixed plate 1, and the second bevel gear 5 is meshed with the first bevel gear 4; a threaded hole is formed in the second bevel gear 5, a screw rod 6 is connected to the threaded hole in a threaded manner, the top end of the screw rod 6 is rotatably connected with a connecting rod 7, and an infrared distance meter 8 is fixedly mounted at the bottom of the tail end of the connecting rod 7; fixedly connected with guide bar 9 on the 1 bottom terminal surface of fixed plate, sliding connection has slider 10 on the guide bar 9, screw rod 6 passes fixed plate 1 with slider 10 rotates to be connected, slider 10 bottom fixedly connected with installing support 16, 16 terminal fixed mounting of installing support has camera 11.
Further, the image recognition mechanism comprises a PLC control module 12 and an image recognition and operation display module 13, and the PLC control module 12 is electrically connected with the image recognition and operation display module 13; the motor 2 and the infrared distance meter 8 are electrically connected with the PLC control module 12, and the camera 11 is electrically connected with the image recognition and operation display module 13.
Further, in order to improve the accuracy of the detection result, a wheel type counter 14 is rotatably connected to the fixing plate 1, a friction wheel 15 is fixedly connected to the rotating shaft 3, the wheel type counter 14 is meshed with the friction wheel 15, and the wheel type counter 14 is electrically connected with the PLC control module 12.
Further, in order to make the rotation of the first bevel gear 4 more stable and reduce the generation of errors, a shaft seat 17 is fixedly installed on the fixing plate 1, a bearing is installed on the shaft seat 17, and the rotating shaft 3 is rotatably connected with the shaft seat 17 through the bearing.
Further, for avoiding infrared distance measuring instrument 8 to rotate along with screw rod 6, and then influence infrared distance measuring instrument 8's work, fixedly connected with telescopic link 18 on fixed plate 1, telescopic link 18 terminal with connecting rod 7 fixed connection.
The utility model provides a concentrated pond sedimentation layer thickness detection device of harrow formula based on image recognition, when using, will detect the position and install on the concentrated pond corridor apart from the radial position of concentrated pond center cylinder third cell body. Firstly, the image recognition and operation display module 13 sends a starting instruction to the PLC control module 12, so that the motor 2 works, the first bevel gear 4 drives the second bevel gear 5 under the driving of the motor 2, and then the screw 6 is driven to move downwards, and further the camera 11 on the slide block 10 is driven to move downwards along the guide rod 9. In the downward movement process, the camera 11 transmits a real-time shot image by using an RSTP protocol, stores a video frame by using the characteristics of a stack in the transmission of a video stream, reads the latest video frame information, transmits the captured video frame to the image recognition and operation display module 13, then performs image processing on the video frame, removes interference noise existing in the image by using a deblurring technology, performs corrosion operation, and judges whether the camera 11 reaches a clarification layer of a concentration tank by analyzing the gray-scale characteristics of the image. If the clear layer is reached, the image recognition and operation display module 13 sends a signal to the PLC control module 12, and the PLC control module 12 records the height of the infrared distance meter 8 from the fixed plate 1 and the number of turns of the wheel counter 14. The screw 6 then controls the camera 11 to move downwards from the clarification layer of the thickening tank, under the constraint of the guide bar 9. In the downward movement process, the camera 11 transmits the real-time shot image to the image recognition and operation display module 13, and whether the camera 11 reaches the sedimentation layer of the concentration tank is judged by analyzing the gray characteristic of the image. If the height of the clarification layer is calculated through the wheel type counter 14, the height of the clarification layer is subtracted from the total height of the pool body of the concentration pool to calculate the thickness of the sedimentation layer of the concentration pool (when the height of the clarification layer is calculated through the wheel type counter 14, the height of the sedimentation layer is required to be determined every time the first conical gear 4 rotates for one circle, the height of the screw rod 6 rises or falls before detection, so that the height of the clarification layer is calculated according to the total rotating number of circles when the camera 11 reaches the sedimentation layer after reaching the sedimentation layer) . And finally, the PLC control module 12 transmits the converted thickness of the precipitation layer to an image recognition and operation display module 13 for displaying. And comparing the height values of the clarification layers calculated by the two modes to judge whether the detection result has errors.
The utility model discloses use the thick detection area of concentrated pond sedimentation layer with image recognition technology, overcome the drawback of current detection mode. The combination of the wheel counter 14 and the infrared distance meter 8 greatly improves the detection accuracy. Deviation of the detection result is +/-0.1. The interference of the complex environment in the concentration tank on the thickness detection of the coal slime layer and the error of the calculated height of the clarification layer of the concentration tank caused by the length of the steel wire rope are overcome, and the detection precision of the thickness of the coal slime layer in the concentration tank is improved.
In the description of the present invention, it is to be understood that the terms "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, and are merely for convenience of description of the present invention, and do not indicate or imply that the device or element so referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore, should not be construed as limiting the present invention.
The above-mentioned embodiments are only intended to describe the preferred embodiments of the present invention, but not to limit the scope of the present invention, and those skilled in the art should also be able to make various modifications and improvements to the technical solution of the present invention without departing from the spirit of the present invention, and all such modifications and improvements are intended to fall within the scope of the present invention as defined in the appended claims.
Claims (6)
1. The device for detecting the thickness of the sedimentation layer of the rake type concentration tank based on image recognition is characterized by comprising a fixing plate (1) and an image recognition mechanism arranged on the fixing plate (1), wherein a motor (2) is fixedly arranged on the fixing plate (1), the output end of the motor (2) is connected with a rotating shaft (3) through a coupling, and the tail end of the rotating shaft (3) is fixedly connected with a first bevel gear (4); a second bevel gear (5) is rotatably connected to the fixed plate (1), and the second bevel gear (5) is meshed with the first bevel gear (4); a threaded hole is formed in the second conical gear (5), a screw rod (6) is connected to the threaded hole in an internal thread mode, a connecting rod (7) is rotatably connected to the top end of the screw rod (6), and an infrared distance meter (8) is fixedly installed at the bottom of the tail end of the connecting rod (7); fixedly connected with guide bar (9) on fixed plate (1) bottom terminal surface, sliding connection has slider (10) on guide bar (9), screw rod (6) pass fixed plate (1) with slider (10) rotate and are connected, camera (11) are installed to slider (10) bottom.
2. The image recognition-based rake concentration tank sediment layer thickness detection apparatus according to claim 1, wherein: the image recognition mechanism comprises a PLC control module (12) and an image recognition and operation display module (13), and the PLC control module (12) is electrically connected with the image recognition and operation display module (13); the motor (2) and the infrared distance meter (8) are electrically connected with the PLC control module (12), and the camera (11) is electrically connected with the image recognition and operation display module (13).
3. The image recognition-based rake concentration tank sediment layer thickness detection apparatus according to claim 2, wherein: the fixed plate (1) is rotatably connected with a wheel type counter (14), the rotating shaft (3) is fixedly connected with a friction wheel (15), the wheel type counter (14) is meshed with the friction wheel (15) and is connected with the PLC control module (12) in an electrical connection mode.
4. The image recognition-based rake concentration tank sediment layer thickness detection apparatus according to claim 1, wherein: the bottom of the sliding block (10) is fixedly connected with a mounting bracket (16), and the camera (11) is fixedly mounted at the tail end of the mounting bracket (16).
5. The image recognition-based rake concentration tank sediment layer thickness detection apparatus according to claim 1, wherein: the fixing plate is characterized in that a shaft seat (17) is fixedly mounted on the fixing plate (1), a bearing is mounted on the shaft seat (17), and the rotating shaft (3) is rotatably connected with the shaft seat (17) through the bearing.
6. The image recognition-based rake concentration tank sediment layer thickness detection apparatus according to claim 1, wherein: the fixing plate (1) is fixedly connected with a telescopic rod (18), and the tail end of the telescopic rod (18) is fixedly connected with the connecting rod (7).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202021885817.9U CN212721314U (en) | 2020-09-02 | 2020-09-02 | Rake type concentration tank sedimentation layer thickness detection device based on image recognition |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202021885817.9U CN212721314U (en) | 2020-09-02 | 2020-09-02 | Rake type concentration tank sedimentation layer thickness detection device based on image recognition |
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| CN212721314U true CN212721314U (en) | 2021-03-16 |
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| CN202021885817.9U Active CN212721314U (en) | 2020-09-02 | 2020-09-02 | Rake type concentration tank sedimentation layer thickness detection device based on image recognition |
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