CN211756993U - Lithium battery defect detection machine based on deep learning - Google Patents

Abstract

The utility model discloses a lithium battery defect detection machine based on deep learning. By setting the winding device on the right end of the main body, the second motor can indirectly drive the conveyor belt to rotate, and the conveyor belt drives the receiving block to rotate. At the same time, it can receive the dropped lithium battery on the powerless roller, and then transmit it to the inside of the collection box to avoid It can prevent the lithium battery from falling from a high place and cause damage, and improve the detection effect and practicability. By setting a rotating device at the bottom of the collection box, the rotating plate can be driven to rotate through the receiving block, and the rotating plate can drive the lithium battery dropped from the receiving block to the collection box. One end of the box moves to improve the collection effect of lithium batteries.

Description

A Lithium Battery Defect Detection Machine Based on Deep Learning

technical field

The utility model relates to the technical field of detection machines, in particular to a lithium battery defect detection machine based on deep learning.

Background technique

"Lithium battery" is a kind of battery that uses lithium metal or lithium alloy as the negative electrode material and uses a non-aqueous electrolyte solution. Due to the very active chemical properties of lithium metal, the processing, storage and use of lithium metal have very high environmental requirements. . With the development of science and technology, lithium batteries have become the mainstream, some lithium batteries have defects, and the inspection machine can detect the defects of lithium batteries at the inspection site.

When the testing machine detects lithium batteries, the testing machine has less protective measures for lithium batteries. The defective lithium batteries fall from the upper end to the inside of the collection box during the collection process, which is easy to damage the lithium batteries and reduce the practicability of the testing machine.

Utility model content

(1) Technical problems to be solved

In order to overcome the shortcomings of the existing technology, a lithium battery defect detection machine based on deep learning is proposed, which solves the problem that when the detection machine detects the lithium battery, the detection machine has less protection measures for the lithium battery, and the defective lithium battery is collected from the collection process. If the upper end falls into the collection box, it is easy to damage the lithium battery and reduce the practicability of the detector.

(2) Technical solutions

The utility model is realized by the following technical solutions: The utility model proposes a lithium battery defect detection machine based on deep learning, which includes a main body, a retracting device and an electric push rod. The middle end of the right side of the main body is rotatably connected with the discharge port, the front end of the main body is provided with a controller, the back of the main body is provided with a power cord, the left side of the main body is provided with a feeding channel, and the inner bottom of the main body is provided A first motor is fixedly connected, the retracting device is fixedly installed at the right end of the main body, and the retracting device is composed of a casing, a conveying roller, a driven roller, a conveying belt, a receiving block, a protective pad, a rotating device and a second motor , the casing is fixedly installed on the inner right end of the main body, the conveying roller is rotatably connected to the upper end of the casing, the driven roller is rotatably connected to the inner lower end of the casing, the upper end of the conveyor belt is drivingly connected to the conveying roller, and the right end of the receiving block is connected to the The conveyor belt is fixedly connected, the top of the receiving block is fixedly connected with a protective pad, the bottom of the rotating device is fixedly connected to the collection box, the second motor is fixedly connected to the upper end of the right side of the casing, and the output shaft of the second motor is connected to the conveyor roller Rotatingly connected, the controller is electrically connected to the second motor.

Further, the rotating device is composed of a support rod, a coil spring and a rotating plate, the bottom of the support rod is fixedly connected to the collection box, the top of the support rod is provided with a coil spring, and the top of the coil spring rotates coaxially with the rotating plate. .

Further, the output shaft of the first motor rotates coaxially with the rotating wheel, the rotating wheel is rotatably connected with the belt, the upper end of the belt rotates coaxially with the rotating stick, the rotating stick is rotatably connected with the side of the main body, and the rotating The stick is drivingly connected to the left end of the belt, the belt is fixedly connected to one end of the powerless roller, the top of the main body is fixedly connected to the industrial camera, the right end of the bottom of the main body is slidably connected to the collection box, and the side of the main body is fixedly connected to the electric push rod. The controller is electrically connected with the power cord, the first motor, the industrial camera and the electric push rod.

Further, the left end of the top of the casing is hollow, and the thickness of the side wall of the casing is 1CM.

Further, the top of the receiving block is in an arc structure, and the gap between one end of the receiving block and the inner side wall of the casing is 0.5CM.

Further, the thickness of the protective pad is 1.5CM, and the radian of the protective pad is the same as the radian of the top of the receiving block.

Further, the distance between the bottom of the rotating plate and the inner bottom of the collection box is 3CM, and the rotating plate has an L-shaped structure.

Further, the lower end of the casing extends to the inner height of the collection box, which is one-fifth of the height of the casing.

Further, the material of the rotating plate is rubber.

Further, the material of the receiving block is plastic.

(3) Beneficial effects

Compared with the prior art, the utility model has the following beneficial effects:

1) A lithium battery defect detection machine based on deep learning according to the present utility model, by setting a retracting device at the right end of the main body, the second motor can indirectly drive the conveyor belt to rotate, and the conveyor belt drives the receiving block to rotate, and can receive The dropped lithium battery on the powerless drum is then transferred to the inside of the collection box, which avoids the damage caused by the lithium battery falling from a high place, and improves the detection effect and practicability.

2) A lithium battery defect detection machine based on deep learning according to the present utility model, by setting a rotating device at the bottom of the collection box, the rotating plate can be driven to rotate through the receiving block, and the rotating plate drives the lithium battery dropped from the receiving block to the collection box. One end of the box moves to improve the collection effect of lithium batteries.

Description of drawings

Other features, objects and advantages of the present invention will become more apparent by reading the detailed description of non-limiting embodiments with reference to the following drawings:

Fig. 1 is the structural representation of the utility model;

Fig. 2 is the main internal structure schematic diagram of the utility model;

Fig. 3 is the main body sectional structure schematic diagram of the present utility model;

4 is a schematic structural diagram of a retracting device of the present invention;

FIG. 5 is a schematic structural diagram of the connection relationship between the rotating plates of the present invention.

In the picture: main body-1, reclaiming door-2, discharge port-3, controller-4, power cord-5, feeding channel-6, first motor-7, rotating wheel-8, transmission belt-9, Rotating Roller-10, Belt-11, Powerless Roller-12, Industrial Camera-13, Collection Box-14, Rewinding Device-15, Electric Push Rod-16, Shell-151, Conveyor Roller-152, Driven Roller-153 , Conveyor belt-154, receiving block-155, protective pad-156, rotating device-157, second motor-158, support rod-1571, coil spring-1572, rotating plate-1573.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present utility model more clearly understood, the present utility model will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not intended to limit the present invention.

Please refer to Figure 1, Figure 2, Figure 3, Figure 4 and Figure 5, the present utility model provides a lithium battery defect detection machine based on deep learning: including a main body 1, a retracting device 15 and an electric push rod 16, the front end of the main body 1 The lower end of the main body 1 is provided with a reclaiming door 2, the middle end of the right side of the main body 1 is rotatably connected with the discharge port 3, the front end of the main body 1 is provided with a controller 4, the back of the main body 1 is provided with a power cord 5, and the left side of the main body 1 is provided with The feeding channel 6, the inner bottom of the main body 1 is fixedly connected with the first motor 7, the retracting device 15 is fixedly installed on the inner right end of the main body 1, and the retracting device 15 consists of a casing 151, a conveying roller 152, a driven roller 153, a conveying belt 154, The receiving block 155, the protective pad 156, the rotating device 157 and the second motor 158 are composed. The casing 151 is fixedly installed on the inner right end of the main body 1. The upper end of the conveyor belt 154 is drivingly connected with the conveyor roller 152, the right end of the receiving block 155 is fixedly connected with the conveyor belt 154, the top of the receiving block 155 is fixedly connected with a protective pad 156, and the bottom of the rotating device 157 is fixedly connected with the collecting box 14, which is convenient for the lithium battery collection, the second motor 158 is fixedly connected to the upper end of the right side of the casing 151, and the output shaft of the second motor 158 is rotatably connected to the conveying roller 152, so as to drive the conveying roller 152 to rotate, and the controller 4 is electrically connected to the second motor 158 .

The rotating device 157 is composed of a support rod 1571, a coil spring 1572 and a rotating plate 1573. The bottom of the support rod 1571 is fixedly connected to the collection box 14, the top of the support rod 1571 is provided with a coil spring 1572, and the top of the coil spring 1572 is connected to the rotating plate 1573. coaxial rotation.

The output shaft of the first motor 7 rotates coaxially with the rotating wheel 8, the rotating wheel 8 is rotatably connected to the belt 11, the upper end of the belt 11 rotates coaxially with the rotating stick 10, the rotating stick 10 is rotatably connected to the side of the main body 1, and the rotating stick 10 is drivingly connected to the left end of the belt 11, the belt 11 is fixedly connected to one end of the powerless roller 12, the top of the main body 1 is fixedly connected to the industrial camera 13, the bottom right end of the main body 1 is slidably connected to the collection box 14, and the side of the main body 1 is fixedly connected to the electric push rod 16, The controller 4 is electrically connected to the power cord 5 , the first motor 7 , the industrial camera 13 and the electric push rod 16 .

The top left end of the casing 151 is hollow, and the thickness of the side wall of the casing 151 is 1CM, so that the lithium battery can enter the interior of the casing 151 .

The top of the receiving block 155 has an arc structure, and the gap between one end of the receiving block 155 and the inner side wall of the casing 151 is 0.5CM, which is convenient for the transportation of the lithium battery.

The thickness of the protective pad 156 is 1.5CM, and the radian of the protective pad 156 is the same as the radian of the top of the receiving block 155, which improves the conveying effect of the lithium battery.

The distance between the bottom of the rotating plate 1573 and the inner bottom of the collecting box 14 is 3CM, and the rotating plate 1573 has an L-shaped structure to prevent lithium batteries from accumulating at one end of the collecting box 14 .

Wherein, the lower end of the casing 151 extends to the inner height of the collection box 14, which is one-fifth of the height of the casing 151, so as to improve the collection effect of the lithium battery.

Wherein, the material of the rotating plate 1573 is rubber, which is light in weight, soft and high in elasticity.

Wherein, the material of the receiving block 155 is plastic, which has no rust, good impact resistance, good transparency and wear resistance.

The electric push rod 16 described in this patent, also known as the linear drive, is a new type of linear actuator mainly composed of a motor push rod and a control device. extend.

The utility model provides a lithium battery defect detection machine based on deep learning through improvement, and the working principle is as follows;

First, when using the device, first place the device in the working area, and then connect the device to an external power supply, to provide the device with the power required for work;

Second, the lithium battery with detection is placed inside the feeding channel 6, and at the same time, the first motor 7 drives the rotating wheel 8 to rotate, the rotating wheel 8 drives the transmission belt 9 to rotate, the transmission belt 9 drives the rotating stick 10 to rotate, and the rotating stick 10 drives the belt. 11 rotates, while the belt 11 rotates, it can drive the powerless roller 12 to rotate, and when the powerless roller 12 rotates, it drives the lithium battery conveyed by the feeding channel 6;

Thirdly, the industrial camera 13 detects the lithium battery at the lower end, and when a defect is detected, the electric push rod 16 receives the signal, and the electric push rod 16 pushes the lithium battery into the left end of the casing 151;

Fourth, the second motor 158 drives the conveying roller 152 to rotate, and the conveying roller 152 drives the driven roller 153 to rotate through the conveyor belt 154 to drive the receiving block 155 to move. The lithium battery is conveyed to the top of the receiving block 155 through the casing 151, and the protective pad 156 can improve the protection of lithium batteries;

Fifth, when the receiving block 155 rotates downward, the bottom of the receiving block 155 contacts the rotating plate 1573, which drives the rotating plate 1573 to rotate on the support rod 1571 through the coil spring 1572, and then pushes the dropped lithium battery to one end of the collecting box 14. ;

Sixth, the lithium battery without defects is transmitted to the outside through the discharge port 3, and when the lithium battery is taken from the inside of the collection box 14, the collection box 14 can be pushed to the outside by opening the take-out door 2.

The basic principle and main features of the present invention and the advantages of the present invention are shown and described above, and the standard parts used in the present invention can be purchased from the market, and the special-shaped parts can be made according to the description in the description and the drawings. Customized, the specific connection method of each part adopts the conventional methods such as mature bolts, rivets and welding in the existing technology, and the machinery, parts and equipment adopt the conventional models in the existing technology, and the circuit connection adopts the existing technology. The conventional connection method will not be described in detail here.

It will be apparent to those skilled in the art that the present invention is not limited to the details of the above-described exemplary embodiments, and that the present invention may be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention. Therefore, the embodiments are to be considered in all respects as exemplary and not restrictive, and the scope of the present invention is defined by the appended claims rather than the foregoing description, and it is therefore intended that the All changes within the meaning and range of the required equivalents are embraced within the present invention. Any reference signs in the claims shall not be construed as limiting the involved claim.

In addition, it should be understood that although this specification is described in terms of embodiments, not each embodiment only includes an independent technical solution, and this description in the specification is only for the sake of clarity, and those skilled in the art should take the specification as a whole , the technical solutions in each embodiment can also be appropriately combined to form other implementations that can be understood by those skilled in the art.

Claims (8)

1. A lithium battery defect detection machine based on deep learning, comprising a main body (1) and an electric push rod (16), a reclaiming door (2) is provided at the lower end of the front end of the main body (1), and the main body (1) ) The middle end of the right side is rotatably connected with the discharge port (3). The front end of the main body (1) is provided with a controller (4), and the back of the main body (1) is provided with a power cord (5). (1) A feeding channel (6) is provided on the left side, and a first motor (7) is fixedly connected to the inner bottom of the main body (1); It is characterized in that: it further comprises a retracting device (15), the retracting device (15) is fixedly mounted on the inner right end of the main body (1), and the retracting device (15) consists of a casing (151), a conveying roller (152) , a driven roller (153), a conveyor belt (154), a receiving block (155), a protective pad (156), a rotating device (157) and a second motor (158), the casing (151) is fixedly installed on the main body (1) The inner right end, the conveying roller (152) is rotatably connected to the upper end of the casing (151), the driven roller (153) is rotatably connected to the inner and lower ends of the outer casing (151), and the upper end of the conveying belt (154) is connected to the upper end of the conveying belt (154). The rod (152) is connected by transmission, the right end of the receiving block (155) is fixedly connected with the conveyor belt (154), the top of the receiving block (155) is fixedly connected with a protective pad (156), and the bottom of the rotating device (157) is connected to the conveyor belt (154). The collection box (14) is fixedly connected, the second motor (158) is fixedly connected to the upper end of the right side of the housing (151), and the output shaft of the second motor (158) is rotatably connected to the conveying roller (152). The controller (4) Electrically connected to the second motor (158). 2. The deep learning-based lithium battery defect detection machine according to claim 1, wherein the rotating device (157) consists of a support rod (1571), a coil spring (1572) and a rotating plate (1573) The bottom of the support rod (1571) is fixedly connected with the collection box (14), the top of the support rod (1571) is provided with a coil spring (1572), and the top of the coil spring (1572) is the same as the rotating plate (1573). Shaft turns. 3. A lithium battery defect detection machine based on deep learning according to claim 1, characterized in that: the output shaft of the first motor (7) rotates coaxially with the rotating wheel (8), and the rotating wheel ( 8) It is rotatably connected with the belt (11), the upper end of the belt (11) rotates coaxially with the rotating stick (10), the rotating stick (10) is rotatably connected with the side of the main body (1), and the rotating stick (10) Drive connection with the left end of the belt (11), the belt (11) is fixedly connected to one end of the powerless roller (12), the top of the main body (1) is fixedly connected to the industrial camera (13), and the bottom right end of the main body (1) is connected to the industrial camera (13). The collection box (14) is slidably connected, the side surface of the main body (1) is fixedly connected with the electric push rod (16), the controller (4) is connected with the power cord (5), the first motor (7), and the industrial camera (13) ) is electrically connected to the electric push rod (16). 4 . The deep learning-based lithium battery defect detection machine according to claim 1 , wherein the top left end of the casing ( 151 ) is hollow, and the thickness of the side wall of the casing ( 151 ) is 1CM. 5 . 5 . The deep learning-based lithium battery defect detection machine according to claim 1 , wherein the top of the receiving block ( 155 ) is in an arc-shaped structure, and one end of the receiving block ( 155 ) is connected to the outer casing ( 151 ). 6 . The gap between the inner side walls is 0.5CM. 6. A deep learning-based lithium battery defect detection machine according to claim 1, characterized in that: the thickness of the protective pad (156) is 1.5CM, and the radian of the protective pad (156) and the receiving block (155) The top arc is the same. 7. A lithium battery defect detection machine based on deep learning according to claim 2, characterized in that: the distance between the bottom of the rotating plate (1573) and the inner bottom of the collection box (14) is 3CM, and the rotating plate (1573) ) has an L-shaped structure. 8. The deep learning-based lithium battery defect detection machine according to claim 1, wherein the lower end of the casing (151) extends to the inner height of the collection box (14), which is five times the height of the casing (151). one part.

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