CN111999296A - Big data based self-learning workpiece intelligent appearance detection system and method - Google Patents
Big data based self-learning workpiece intelligent appearance detection system and method Download PDFInfo
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- CN111999296A CN111999296A CN202010908570.6A CN202010908570A CN111999296A CN 111999296 A CN111999296 A CN 111999296A CN 202010908570 A CN202010908570 A CN 202010908570A CN 111999296 A CN111999296 A CN 111999296A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
- G01N21/03—Cuvette constructions
- G01N21/0303—Optical path conditioning in cuvettes, e.g. windows; adapted optical elements or systems; path modifying or adjustment
Abstract
The invention provides a big data based self-learning workpiece intelligent appearance detection system which comprises a body, a first detection device, a second detection device, a sliding device, a fine adjustment device, a rotating device and a controller, wherein the rotating device is used for detecting the angle of a detection piece; the fine adjustment device is configured to adjust an angle of the detection member; the sliding device is configured to move the first detection device and the second detection device, and the first detection device and the second detection device are driven by the sliding device to approach or separate from the rotating device. According to the invention, the collected parameters comprise the center of gravity, the center of mass and the symmetry axis, so that the rotation of one rotating wheel is controlled by the controller in the rotating process of the fine adjustment device, the rotation is ensured to roll on the outer surface of the detection piece in disorder, the rotation of the detection piece is driven, and the effect of the detection piece is more accurate.
Description
Technical Field
The invention relates to the technical field of intelligent auxiliary equipment, in particular to a big data based self-learning workpiece intelligent appearance detection system and method.
Background
The existing appearance of a product is detected mainly by visual inspection of workers and an ordinary light source on a production line for evaluation and test, the requirement on the quality judgment capability of operators is high, the labor intensity is high, the measured data is judged by the sense organs of the operators, the repeatability and the correlation of measurement are poor, erroneous judgment and over-killing are easy to occur, the yield of the product is easy to influence, and the labor intensity of the workers is also improved.
For example, CN100573112C discloses an appearance inspection apparatus and an appearance inspection method, which are capable of imaging the packaged state of a component with a very high resolution in response to a high-density package, and performing a defect inspection with a high-precision level takes a long time in the inspection process even if the packaging process is speeded up, and thus is not suitable for the demands of the current manufacturing industry for a strong competition. Another typical image processing apparatus disclosed in the prior art, for example, US06345116B1, uses an encoder for assisting in detecting a scanning position, the encoder being mounted on a wheel reading sensor moving integrally with the apparatus and generating a pulse signal in accordance with the rotation of the wheel, and causes a large accumulated position error due to mechanical accuracy, wheel slip, and the like, and thus cannot obtain a high-accuracy detection effect. Furthermore, an optical detection system disclosed in the prior art of WO0201193a2 is easy to ignore the difference of detection points among manufacturers, thereby causing inaccurate appearance detection results, and meanwhile, the optical detection system is easy to cause phenomena such as misjudgment and overlook due to manual checking, so that the quality of products cannot be guaranteed, and meanwhile, the test results cannot be stored, which is inconvenient for subsequent tracking.
The invention is made in order to solve the problems that the detection time is too long, the detection effect is not good, the error angle setting is unreasonable, the detection position and the detection picture do not correspond and the like in the field.
Disclosure of Invention
The invention aims to provide a system and a method for detecting the intelligent appearance of a workpiece based on large data self-learning, aiming at the defects of the existing intelligent auxiliary learning equipment.
In order to overcome the defects of the prior art, the invention adopts the following technical scheme:
an intelligent appearance detection system for a self-learning workpiece based on big data comprises a body, a first detection device, a second detection device, a sliding device, a fine adjustment device, a rotating device and a controller, wherein the rotating device is used for detecting the angle of a detection piece to rotate; the fine adjustment device is configured to adjust an angle of the detection member; the sliding device is configured to move the first detection device and the second detection device, and the first detection device and the second detection device are driven by the sliding device to approach or separate from the rotating device; the first detecting device and the second detecting device are configured to be disposed directly above the rotating device.
Optionally, the first detection device includes a first support rod, a first detection mechanism, a light transmission mechanism and a first driving mechanism, the first support rod is disposed at the upper top of the sliding device and is vertically and fixedly connected with the upper top of the sliding device, the light transmission mechanism is disposed at the front side of the first detection mechanism, the light transmission mechanism includes a moving seat, a lens assembly and a support table, the moving seat is in an L-shaped structure, one end of the moving seat is slidably connected with the first detection mechanism, the other end of the moving seat is fixedly connected with the support table, the lens assembly is connected with the support table, and the lens assembly and the first detection mechanism are coaxially disposed; first detection mechanism includes joint spare and first detection head, the joint spare with remove seat slip joint, first detection head is constructed and is fixed on the joint spare and follow the removal of joint spare and remove, first actuating mechanism with joint spare drive is connected.
Optionally, the second detection device comprises a second support rod, a second detection mechanism and a second driving mechanism, wherein the second support rod is configured to be arranged at the upper top of the sliding device and vertically and fixedly connected with the upper top of the sliding device; the second detection mechanism comprises a supporting plate and a second detection head, the supporting plate is constructed to be in driving connection with the second driving mechanism, the second supporting rod slides, one end of the supporting plate is in sliding clamping connection with the second supporting rod, the other end of the supporting plate faces towards the position over the rotating device, and the second detection head is arranged over the rotating device.
Optionally, the sliding device includes a transverse rail, a vertical rail, a top plate, a first driving belt, a second driving belt, a third driving mechanism, and a fourth driving mechanism, the transverse rail and the vertical rail are mutually connected in a sliding manner to form a sliding portion, the sliding portion is cross-shaped, and the top plate is disposed on one side of the transverse rail away from the vertical rail; one end of the first driving belt is fixedly connected with the edge of the transverse rail, the other end of the first driving belt is in driving connection with the third driving mechanism, one end of the second driving belt is fixedly connected with the edge of the vertical rail, and the other end of the second driving belt is in driving connection with the fourth driving mechanism.
Optionally, the rotating device includes a rotating disc and a fifth driving mechanism, the rotating disc is configured to be disposed at the top of the body and is disposed on one side of the first detecting device, the fifth driving mechanism is disposed on one side of the rotating disc close to the body, and the fifth driving mechanism is rotatably connected to the rotating disc.
Optionally, the fine adjustment device includes two sets of fine adjustment mechanisms, an adjustment groove and a sixth driving mechanism, the adjustment groove is disposed at the upper top of the rotating device, the two sets of fine adjustment mechanisms are respectively connected with the adjustment groove in a sliding manner, a clamping cavity is disposed between the two sets of fine adjustment seats, and the detection member is disposed in the clamping cavity; the fine adjustment mechanism comprises a fine adjustment seat, a plurality of rotating wheels and a seventh driving mechanism, the rotating wheels are arranged at the upper top of the fine adjustment seat and hinged with the rotating seat, and the rotating wheels are respectively in driving connection with the seventh driving mechanism.
In addition, the invention provides a self-learning workpiece intelligent appearance detection method based on big data, which comprises the following steps: s1: placing the test piece in the holding cavity; s2: the first detection device and the second detection device clamp the detection piece and acquire parameters of the detection piece; s3: the method comprises the steps of collecting parameters of a detection piece, wherein the parameters comprise a gravity center, a mass center and a symmetry axis, driving a fine adjustment device to clamp the detection piece, and adjusting the angle of the detection piece through each driving wheel.
Optionally, the detecting step further includes: and inputting the collected parameters into a trained cluster model, analyzing the parameters, and outputting a detection report.
The beneficial effects obtained by the invention are as follows:
1. the distance between the lens assembly and the first detection probe can be adjusted, so that the angle or the focal length of the lens assembly and the first detection probe can be well adjusted;
2. the flaw detector is adopted to enable the detection effect on the detection piece to be optimal, the detection or flaw detection effect on the product of the detection piece is achieved, a corresponding detection report is generated, and the production of the detection piece is guided;
3. the clamping and adjusting operation of the fine adjustment device is adopted, so that the fine adjustment device is ensured to be suitable for the detection pieces with different sizes, and the fine adjustment device can have wider application scenes;
4. by collecting the detection parameters of the detection piece, the detection piece is ensured to realize one-to-one correspondence between the detection parameters and the detection positions under the detection of the first detection mechanism and the second detection mechanism, and the detection precision of the detection piece is improved;
5. the parameters through collection include center of gravity, barycenter and symmetry axis, make micromatic setting is carrying out pivoted in-process, through controller control one the rotation of rotating the wheel is guaranteed the rotation is in disorder the surface of detection piece rolls, and drives the rotation of detection piece realizes the accurate conversion of detection piece angle.
Drawings
The invention will be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the embodiments. Like reference numerals designate corresponding parts throughout the different views.
Fig. 1 is a schematic structural view of the whole of the present invention.
Fig. 2 is a schematic structural view of a part of the present invention.
Fig. 3 is a schematic front view of the present invention.
Fig. 4 is a schematic structural diagram of the first detection device.
Fig. 5 is a schematic structural view of the sliding device.
The reference numbers illustrate: 1-body; 2-a moving part; 3-a first support bar; 4-a second support bar; 5-a lifting mechanism; 6-moving seat; 7-a lens assembly; 8-transverse rail; 9-vertical rail; 10-a first drive belt; 11-a second drive belt; 12-a first detection head; 13-a support plate; 14-a second detection head; 15-a rotating device; 16-a fine-tuning device; 17-clamping chamber.
Detailed Description
In order to make the objects and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the following embodiments; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. Other systems, methods, and/or features of the present embodiments will become apparent to those skilled in the art upon review of the following detailed description. It is intended that all such additional systems, methods, features and advantages be included within this description, be within the scope of the invention, and be protected by the accompanying claims. Additional features of the disclosed embodiments are described in, and will be apparent from, the detailed description that follows.
The same or similar reference numerals in the drawings of the embodiments of the present invention correspond to the same or similar components; in the description of the present invention, it should be understood that if there is an orientation or positional relationship indicated by the terms "upper" and "lower" and "left" and "right" etc., it is only for convenience of description and simplification of the description based on the orientation or positional relationship shown in the drawings, but it is not indicated or implied that the device or assembly referred to must have a specific orientation.
The first embodiment is as follows: an intelligent appearance detection system for a self-learning workpiece based on big data comprises a body 1, a first detection device, a second detection device, a sliding device, a fine adjustment device 16, a rotating device 15 and a controller, wherein the rotating device 15 is configured to detect the angle of a detection piece to rotate; the fine adjustment device 16 is configured to adjust the angle of the detection member; the sliding device is configured to move the first detection device and the second detection device, and the first detection device and the second detection device are driven by the sliding device to approach or separate from the rotating device 15; the first detection means and the second detection means are configured to be disposed directly above the rotation means 15; the first detection device comprises a first supporting rod 3, a first detection mechanism, a light transmission mechanism and a first driving mechanism, the first supporting rod 3 is arranged at the upper top of the sliding device and is vertically and fixedly connected with the upper top of the sliding device, the light transmission mechanism is arranged on the front side of the first detection mechanism, the light transmission mechanism comprises a moving seat 6, a lens assembly 7 and a supporting table, the moving seat 6 is in an L-shaped structure, one end of the moving seat 6 is slidably connected with the first detection mechanism, the other end of the moving seat 6 is fixedly connected with the supporting table, the lens assembly 7 is connected with the supporting table, and the lens assembly 7 and the first detection mechanism are coaxially arranged; the first detection mechanism comprises a clamping piece and a first detection head 12, the clamping piece is clamped with the movable base 6 in a sliding mode, the first detection head 12 is fixed on the clamping piece in a constructed mode and moves along with the movement of the clamping piece, and the first driving mechanism is connected with the clamping piece in a driving mode; the second detection device comprises a second support rod 4, a second detection mechanism and a second driving mechanism, wherein the second support rod 4 is configured to be arranged at the upper top of the sliding device and is vertically and fixedly connected with the upper top of the sliding device; the second detection mechanism comprises a support plate 13 and a second detection head 14, the support plate 13 is configured to be in driving connection with the second driving mechanism and slide along the second support rod 4, one end of the support plate 13 is in sliding clamping connection with the second support rod 4, the other end of the support plate 13 extends out towards the right above the rotating device 15, and the second detection head 14 is arranged right above the rotating device 15; the sliding device comprises a transverse rail 8, a vertical rail 9, a top plate, a first driving belt 10, a second driving belt 11, a third driving mechanism and a fourth driving mechanism, wherein the transverse rail 8 and the vertical rail 9 are mutually connected in a sliding manner to form a sliding part, the sliding part is in a cross shape, and the top plate is arranged on one side of the transverse rail 8, which is far away from the vertical rail 9; one end of the first driving belt 10 is fixedly connected with the edge of the transverse rail 8, the other end of the first driving belt 10 is in driving connection with the third driving mechanism, one end of the second driving belt 11 is fixedly connected with the edge of the vertical rail 9, and the other end of the second driving belt 11 is in driving connection with the fourth driving mechanism; the rotating device 15 comprises a rotating disc and a fifth driving mechanism, the rotating disc is configured to be arranged at the upper top of the body 1 and is arranged at one side of the first detection device, the fifth driving mechanism is arranged at one side of the rotating disc close to the body 1, and the fifth driving mechanism is rotationally connected with the rotating disc; the fine adjustment device 16 comprises two groups of fine adjustment mechanisms, an adjustment groove and a sixth driving mechanism, the adjustment groove is arranged at the upper top of the rotating device 15, the two groups of fine adjustment mechanisms are respectively connected with the adjustment groove in a sliding manner, a clamping cavity 17 is arranged between the two groups of fine adjustment seats, and the detection piece is arranged in the clamping cavity 17; the fine adjustment mechanism comprises a fine adjustment seat, a plurality of rotating wheels and a seventh driving mechanism, the rotating wheels are arranged at the upper top of the fine adjustment seat and are hinged with the rotating seat, and each rotating wheel is in driving connection with the seventh driving mechanism;
in addition, the invention provides a self-learning workpiece intelligent appearance detection method based on big data, which comprises the following steps: s1: placing the test piece in the clamping cavity 17; s2: the first detection device and the second detection device clamp the detection piece and acquire parameters of the detection piece; s3: the parameters of the detection piece are collected, the parameters comprise the center of gravity, the center of mass and the symmetry axis, the fine adjustment device 16 is driven to clamp the detection piece, and the angle of the detection piece is adjusted through each driving wheel; the detecting step further comprises: and inputting the collected parameters into a trained cluster model, analyzing the parameters, and outputting a detection report.
Example two: the present embodiment should be understood to include at least all the features of any one of the foregoing embodiments and further improve on the same, and in particular, provides a big data based self-learning intelligent appearance detection system for a workpiece, which comprises a body 1, a first detection device, a second detection device, a sliding device, a fine adjustment device 16, a rotating device 15 and a controller, wherein the rotating device 15 is configured to detect rotation of an angle of a detection piece; the fine adjustment device 16 is configured to adjust the angle of the detection member; the sliding device is configured to move the first detection device and the second detection device, and the first detection device and the second detection device are driven by the sliding device to approach or separate from the rotating device 15; the first detection means and the second detection means are configured to be disposed directly above the rotation means 15; specifically, in this embodiment, the first detection device and the second detection device respectively detect the detection piece, so as to ensure that each parameter of the appearance of the detection piece can be collected; in addition, in this embodiment, the first detection device and the second detection device are further matched with the sliding device and the fine adjustment device 16, so that the detection angle of the detection piece can be detected, and the parameter acquisition process is ensured to be more complete; in this embodiment, the first detection device and the second detection device can also adaptively adjust the distance between the first detection device and the second detection device; in this embodiment, the fine-tuning device 16 is configured to rotate the angle of the detecting member, so as to ensure that each position of the detecting member can be detected by the first detecting member and the second detecting member; in the embodiment, the rotation device 15 and the fine adjustment device 16 are used in cooperation, so that the detection angle of the detection piece can be adjusted and rotated, and the detection precision of the whole detection system is improved; in addition, in the present embodiment, the detecting member can also prevent the detecting member from being shifted by the clamping operation with the fine adjustment device 16;
the first detection device comprises a first supporting rod 3, a first detection mechanism, a light transmission mechanism and a first driving mechanism, the first supporting rod 3 is arranged at the upper top of the sliding device and is vertically and fixedly connected with the upper top of the sliding device, the light transmission mechanism is arranged on the front side of the first detection mechanism, the light transmission mechanism comprises a moving seat 6, a lens assembly 7 and a supporting table, the moving seat 6 is in an L-shaped structure, one end of the moving seat 6 is slidably connected with the first detection mechanism, the other end of the moving seat 6 is fixedly connected with the supporting table, the lens assembly 7 is connected with the supporting table, and the lens assembly 7 and the first detection mechanism are coaxially arranged; the first detection mechanism comprises a clamping piece and a first detection head 12, the clamping piece is clamped with the movable base 6 in a sliding mode, the first detection head 12 is fixed on the clamping piece in a constructed mode and moves along with the movement of the clamping piece, and the first driving mechanism is connected with the clamping piece in a driving mode; specifically, the first detection device is configured to detect the appearance of the detection piece, and meanwhile, in this embodiment, when the detection piece collects a first parameter of the first detection device, the detection piece detects a parameter, such as a shape or an axis, of the detection piece, so that the collection of data of the first detection device can ensure the adjustment of the fine adjustment device 16, and the first detection device or the second detection device can detect the parameter of the detection piece accurately and efficiently; the movable seat 6 is in an L-shaped structure, and one end of the movable seat 6 is connected with the first detection mechanism in a sliding manner to form a movable part 2; in the present embodiment, the first detection device further includes an elevation mechanism 5 for driving the pair of detection mechanisms and the permeation mechanism, and the elevation mechanism 5 is configured to slide the moving portion 2 on the first support rod 3; in this embodiment, the first support rod 3 is provided with a sliding groove, the sliding groove is slidably clamped with the sliding part, and the detection piece is moved closer to or farther away from the first support rod under the action of the lifting mechanism 5, so that the appearance of the detection piece is detected to achieve the best effect; in this embodiment, there is also a relative displacement between the lens assembly 7 and the first detection head 12, namely: the lens assembly 7 enables the first detection head 12 to achieve the optimal detection effect on the detection piece; in the present embodiment, the lens assembly 7 includes, but is not limited to, the following enumerated several cases: in the embodiment, preferably, a focusing mechanism is adopted, and the arrangement of the focusing mechanism enables the detection effect of the first detection head 12 on the detection piece to be optimal, and meanwhile, the detection of the tiny appearance design parameters of the detection piece can be well collected; in addition, in this embodiment, the distance between the lens assembly 7 and the first detection probe can be adjusted, so that the angle or the focal length between the lens assembly 7 and the first detection probe can be well adjusted, specifically, a closed-loop control system is provided between the first detection head 12, the first driving mechanism and the controller, and when the image parameters detected by the first detection head 12 are blurred, the moving seat 6 is driven by the first driving mechanism to approach or separate from the first detection head 12, so that the first detection head 12 obtains the optimal image parameters; in addition, in this embodiment, the first detection head 12 and the lens assembly 7 are coaxially arranged, so as to ensure that the lens assembly 7 can obtain the optimal detection parameters in the adjustment process;
the second detection device comprises a second support rod 4, a second detection mechanism and a second driving mechanism, wherein the second support rod 4 is configured to be arranged at the upper top of the sliding device and is vertically and fixedly connected with the upper top of the sliding device; the second detection mechanism comprises a support plate 13 and a second detection head 14, the support plate 13 is configured to be in driving connection with the second driving mechanism and slide along the second support rod 4, one end of the support plate 13 is in sliding clamping connection with the second support rod 4, the other end of the support plate 13 extends out towards the right above the rotating device 15, and the second detection head 14 is arranged right above the rotating device 15; specifically, the second support rod 4 and the first support rod 3 are parallel to each other, so that the second support rod 4 supports the second detection mechanism, and the second detection mechanism can protect the detection of the detection piece or optimize the detection effect of the detection piece; the second detection head 14 is fixedly connected with the support plate 13 to form a detection part, and the detection part is driven by the second driving mechanism to realize the operation of ascending or descending the detection part; in this embodiment, the detecting portion is driven by the second driving mechanism to approach or be away from the detecting member, so that each parameter on the detecting member can be effectively detected, in this embodiment, a sliding groove is formed on a rod body of the second support rod 4, a sliding protrusion is arranged on one side of the detecting portion, which is close to the second support rod 4, the sliding groove and the sliding protrusion are clamped with each other, the detecting portion is driven by the second driving mechanism to move, and the detecting portion slides along the direction of the second support rod 4 under the driving of the second driving mechanism; in addition, the detection head includes, but is not limited to, several devices listed below: an electromagnetic induction head, a flaw detector, or a camera, and in the present embodiment, a flaw detector is preferably used; the flaw detector is used for enabling the detection effect on the detection piece to be optimal, the detection or flaw detection effect on the product of the detection piece is achieved, a corresponding detection report is generated, and the production of the detection piece is guided;
the sliding device comprises a transverse rail 8, a vertical rail 9, a top plate, a first driving belt 10, a second driving belt 11, a third driving mechanism and a fourth driving mechanism, wherein the transverse rail 8 and the vertical rail 9 are mutually connected in a sliding manner to form a sliding part, the sliding part is in a cross shape, and the top plate is arranged on one side of the transverse rail 8, which is far away from the vertical rail 9; one end of the first driving belt 10 is fixedly connected with the edge of the transverse rail 8, the other end of the first driving belt 10 is in driving connection with the third driving mechanism, one end of the second driving belt 11 is fixedly connected with the edge of the vertical rail 9, and the other end of the second driving belt 11 is in driving connection with the fourth driving mechanism; specifically, the transverse rail 8 and the vertical rail 9 are crossed with each other to form a cross shape, and the transverse rail 8 and the vertical rail 9 are clamped with each other, so that the transverse rail 8 and the vertical rail 9 can slide relatively, and the transverse rail 8 can move back and forth on the vertical rail 9 under the driving of the first driving belt 10 and the second driving belt 11, in addition, the transverse rail 8 can also move the transverse rail 8 under the driving of the first driving belt 10, so that the transverse rail 8 is close to or far away from the rotating device 15, and the detection piece placed on the rotating device 15 can be detected; in the embodiment, the cross-shaped structure of the sliding part enables the transverse rail 8 and the vertical rail 9 to slide relatively, so as to ensure that each position of the detecting piece can be detected; in addition, the first detection device and the second detection device are both vertically and fixedly connected with the upper top of the sliding device, specifically, one end of the first support rod 3 and one end of the second support rod 4 are vertically and fixedly connected with the upper top of the sliding device, and the other end of the first support rod 3 and the other end of the second support rod 4 extend vertically towards one side away from the upper top of the interaction mechanism;
the rotating device 15 comprises a rotating disc and a fifth driving mechanism, the rotating disc is configured to be arranged at the upper top of the body 1 and is arranged at one side of the first detection device, the fifth driving mechanism is arranged at one side of the rotating disc close to the body 1, and the fifth driving mechanism is rotationally connected with the rotating disc; specifically, the rotating device 15 is driven by the fifth driving mechanism to realize a rotating effect on the detecting element, and in addition, in this embodiment, the detecting element is disposed at the upper top of the rotating disc, so that the detecting element realizes a detecting effect on the detecting element under the driving effect of the fifth driving mechanism; the rotating device 15 is arranged on one side of the first detection device and is used for collecting each parameter of the detection piece under the detection of the first detection mechanism and the second detection mechanism; in this embodiment, the fifth driving device is connected to the controller, so that the controller switches the detecting element at different angles under unified control, and the angles of the detecting element are ensured to be acquired by different parameters; in this embodiment, the main body is provided with a top plate, and the first detecting device, the second detecting device, the sliding device and the fine-tuning device 16 are all arranged at the upper top of the top plate; in addition, the fifth driving mechanism is arranged on one side of the rotating disc close to the top plate and hidden under the rotating disc, and the rotating disc is in driving connection with the fifth driving mechanism;
the fine adjustment device 16 comprises two groups of fine adjustment mechanisms, an adjustment groove and a sixth driving mechanism, the adjustment groove is arranged at the upper top of the rotating device 15, the two groups of fine adjustment mechanisms are respectively connected with the adjustment groove in a sliding manner, a clamping cavity 17 is arranged between the two groups of fine adjustment seats, and the detection piece is arranged in the clamping cavity 17; the fine adjustment mechanism comprises a fine adjustment seat, a plurality of rotating wheels and a seventh driving mechanism, the rotating wheels are arranged at the upper top of the fine adjustment seat and are hinged with the rotating seat, and each rotating wheel is in driving connection with the seventh driving mechanism; specifically, two sets of fine adjustment mechanism respectively set up relatively, promptly: the two parts are oppositely arranged to form a four-edge structure, so that the fine adjustment mechanism can effectively clamp the whole device in the process of clamping the detection piece; in addition, the sixth driving mechanism is arranged in the adjusting groove, and the adjusting groove enables the fine adjustment mechanism to be driven by the sixth driving mechanism to achieve fine adjustment so as to adapt to the detection pieces with different sizes, so that the fine adjustment device 16 can have wider application scenes; in addition, each of the rotating wheels provided at the top of the fine adjustment seat adjusts the detecting element, and specifically, each of the rotating wheels adjusts a minute portion of the detecting element under the driving of the seventh driving mechanism, in this embodiment, in the process of driving the seventh driving mechanism and each of the rotating wheels, the detecting element is subjected to a stepping action under the control of the controller, that is: the rotation is carried out at a rotation angle of 15 degrees each time; in addition, the fine adjustment device 16 and the rotating device 15 are used in a matching manner, so that the detection piece is guaranteed to be arranged in the rotating disc and the clamping cavity 17, the detection piece is guaranteed to rotate at different angles, and data can be efficiently acquired under the detection of the first detection mechanism and the second detection mechanism; in addition, in the detection process, the detection parameters of the detection piece are acquired, so that the detection piece is ensured to be in one-to-one correspondence with the detection positions under the detection of the first detection mechanism and the second detection mechanism, and the detection precision of the detection piece is improved;
in addition, the invention provides a self-learning workpiece intelligent appearance detection method based on big data, which comprises the following steps: s1: placing the test piece in the clamping cavity 17; s2: the first detection device and the second detection device clamp the detection piece and acquire parameters of the detection piece; s3: the parameters of the detection piece are collected, the parameters comprise the center of gravity, the center of mass and the symmetry axis, the fine adjustment device 16 is driven to clamp the detection piece, and the angle of the detection piece is adjusted through each driving wheel; the detecting step further comprises: inputting the collected parameters into a trained cluster model, analyzing the parameters, and outputting a detection report; specifically, after data acquisition is performed on the detection piece, the fine adjustment device 16 is ensured to be more beneficial to rotation of the detection piece in the rotation process; in addition, in this embodiment, the acquired parameters include a center of gravity, a center of mass, and a symmetry axis, so that the rotation of one of the rotating wheels is controlled by the controller during the rotation of the fine adjustment device 16, so as to ensure that the rotation rolls around the outer surface of the detection piece and drive the rotation of the detection piece, thereby realizing the accurate angle conversion of the detection piece; in this embodiment, the detection parameters of the first detection mechanism and the second detection mechanism are collected to ensure that the detection parameters of the detection piece are completely detected; in this embodiment, each collected parameter is further input into the trained cluster model, the parameter is analyzed, and a detection report is output, so that the detection of the detection piece can automatically generate a responsive detection report, the subsequent production of the product is guided, and the yield of the whole system is improved.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
In summary, according to the system and the method for detecting the intelligent appearance of the self-learning workpiece based on the big data, the angle or the focal length of the lens assembly and the first detection probe can be well adjusted by adjusting the distance between the lens assembly and the first detection probe; the flaw detector is adopted to enable the detection effect on the detection piece to be optimal, the detection or flaw detection effect on the product of the detection piece is achieved, a corresponding detection report is generated, and the production of the detection piece is guided; the clamping and adjusting operation of the fine adjustment device is adopted, so that the fine adjustment device is ensured to adapt to the detection pieces with different sizes, and the fine adjustment device can have wider application scenes; by collecting the detection parameters of the detection piece, the detection piece is ensured to realize one-to-one correspondence between the detection parameters and the detection positions under the detection of the first detection mechanism and the second detection mechanism, and the detection precision of the detection piece is improved; the parameters through collection include center of gravity, barycenter and symmetry axis, make micromatic setting is carrying out pivoted in-process, through controller control one the rotation of rotating the wheel is guaranteed the rotation is in disorder the surface of detection piece rolls, and drives the rotation of detection piece realizes the accurate conversion of detection piece angle.
Although the invention has been described above with reference to various embodiments, it should be understood that many changes and modifications may be made without departing from the scope of the invention. That is, the methods, systems, and devices discussed above are examples. Various configurations may omit, substitute, or add various procedures or components as appropriate. For example, in alternative configurations, the methods may be performed in an order different than that described, and/or various components may be added, omitted, and/or combined. Moreover, features described with respect to certain configurations may be combined in various other configurations, as different aspects and elements of the configurations may be combined in a similar manner. Further, elements therein may be updated as technology evolves, i.e., many elements are examples and do not limit the scope of the disclosure or claims.
Specific details are given in the description to provide a thorough understanding of the exemplary configurations including implementations. However, configurations may be practiced without these specific details, for example, well-known circuits, processes, algorithms, structures, and techniques have been shown without unnecessary detail in order to avoid obscuring the configurations. This description provides example configurations only, and does not limit the scope, applicability, or configuration of the claims. Rather, the foregoing description of the configurations will provide those skilled in the art with an enabling description for implementing the described techniques. Various changes may be made in the function and arrangement of elements without departing from the spirit or scope of the disclosure.
In conclusion, it is intended that the foregoing detailed description be regarded as illustrative rather than limiting, and that it be understood that these examples are illustrative only and are not intended to limit the scope of the invention. After reading the description of the invention, the skilled person can make various changes or modifications to the invention, and these equivalent changes and modifications also fall into the scope of the invention defined by the claims.
Claims (8)
1. The intelligent appearance detection system for the self-learning workpiece based on the big data is characterized by comprising a body, a first detection device, a second detection device, a sliding device, a fine adjustment device, a rotating device and a controller, wherein the rotating device is constructed for detecting the angle of a detection piece to rotate; the fine adjustment device is configured to adjust an angle of the detection member; the sliding device is configured to move the first detection device and the second detection device, and the first detection device and the second detection device are driven by the sliding device to approach or separate from the rotating device; the first detecting device and the second detecting device are configured to be disposed directly above the rotating device.
2. The intelligent appearance detection system for self-learning workpieces based on big data as claimed in claim 1, wherein the first detection device comprises a first support rod, a first detection mechanism, a light transmission mechanism and a first driving mechanism, the first support rod is arranged at the upper top of the sliding device and vertically and fixedly connected with the upper top of the sliding device, the light transmission mechanism is arranged at the front side of the first detection mechanism, the light transmission mechanism comprises a movable seat, a lens assembly and a support platform, the movable seat is in an L-shaped structure, one end of the movable seat is slidably connected with the first detection mechanism, the other end of the movable seat is fixedly connected with the support platform, the lens assembly is connected with the support platform, and the lens assembly and the first detection mechanism are coaxially arranged; first detection mechanism includes joint spare and first detection head, the joint spare with remove seat slip joint, first detection head is constructed and is fixed on the joint spare and follow the removal of joint spare and remove, first actuating mechanism with joint spare drive is connected.
3. The big-data-based self-learning intelligent appearance inspection system for workpieces as recited in any one of the preceding claims, wherein the second inspection device comprises a second support bar, a second inspection mechanism, and a second driving mechanism, the second support bar being configured to be disposed on and vertically fixedly connected to the top of the sliding device; the second detection mechanism comprises a supporting plate and a second detection head, the supporting plate is constructed to be in driving connection with the second driving mechanism, the second supporting rod slides, one end of the supporting plate is in sliding clamping connection with the second supporting rod, the other end of the supporting plate faces towards the position over the rotating device, and the second detection head is arranged over the rotating device.
4. The big-data-based self-learning intelligent appearance detection system for workpieces as claimed in one of the preceding claims, wherein the sliding device comprises a transverse rail, a vertical rail, a top plate, a first driving belt, a second driving belt, a third driving mechanism and a fourth driving mechanism, the transverse rail and the vertical rail are mutually and slidably connected to form a sliding portion, the sliding portion is cross-shaped, and the top plate is arranged on the side of the transverse rail, which is far away from the vertical rail; one end of the first driving belt is fixedly connected with the edge of the transverse rail, the other end of the first driving belt is in driving connection with the third driving mechanism, one end of the second driving belt is fixedly connected with the edge of the vertical rail, and the other end of the second driving belt is in driving connection with the fourth driving mechanism.
5. The big-data-based self-learning intelligent appearance inspection system for workpieces as recited in any one of the preceding claims, wherein the rotating device comprises a rotating disc and a fifth driving mechanism, the rotating disc is configured to be disposed on the upper top of the main body and is disposed on one side of the first inspection device, the fifth driving mechanism is disposed on one side of the rotating disc close to the main body, and the fifth driving mechanism is rotatably connected with the rotating disc.
6. The intelligent appearance detection system for the big data based self-learning workpiece as claimed in one of the preceding claims, wherein the fine adjustment device comprises two sets of fine adjustment mechanisms, an adjustment groove and a sixth driving mechanism, the adjustment groove is arranged at the upper top of the rotating device, the two sets of fine adjustment mechanisms are respectively connected with the adjustment groove in a sliding manner, a clamping cavity is arranged between the two sets of fine adjustment seats, and the detection member is arranged in the clamping cavity; the fine adjustment mechanism comprises a fine adjustment seat, a plurality of rotating wheels and a seventh driving mechanism, the rotating wheels are arranged at the upper top of the fine adjustment seat and hinged with the rotating seat, and the rotating wheels are respectively in driving connection with the seventh driving mechanism.
7. The intelligent appearance detection method for the self-learning workpiece based on the big data is characterized by comprising the following steps of: s1: placing the test piece in the holding cavity; s2: the first detection device and the second detection device clamp the detection piece and acquire parameters of the detection piece; s3: the method comprises the steps of collecting parameters of a detection piece, wherein the parameters comprise a gravity center, a mass center and a symmetry axis, driving a fine adjustment device to clamp the detection piece, and adjusting the angle of the detection piece through each driving wheel.
8. The intelligent appearance inspection method for self-learning workpieces based on big data as claimed in claim 7, wherein the inspection step further comprises: and inputting the collected parameters into a trained cluster model, analyzing the parameters, and outputting a detection report.
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| CN202010908570.6A CN111999296A (en) | 2020-09-02 | 2020-09-02 | Big data based self-learning workpiece intelligent appearance detection system and method |
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| CN202010908570.6A CN111999296A (en) | 2020-09-02 | 2020-09-02 | Big data based self-learning workpiece intelligent appearance detection system and method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113340809A (en) * | 2021-04-23 | 2021-09-03 | 广州万孚倍特生物技术有限公司 | Image acquisition device and method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113340809A (en) * | 2021-04-23 | 2021-09-03 | 广州万孚倍特生物技术有限公司 | Image acquisition device and method |
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Application publication date: 20201127 |