CN211756993U - Lithium battery defect detection machine based on deep learning - Google Patents
Lithium battery defect detection machine based on deep learning Download PDFInfo
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- CN211756993U CN211756993U CN202020180173.7U CN202020180173U CN211756993U CN 211756993 U CN211756993 U CN 211756993U CN 202020180173 U CN202020180173 U CN 202020180173U CN 211756993 U CN211756993 U CN 211756993U
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Abstract
The utility model discloses a lithium battery defect detection machine based on deep learning, the structure of which comprises a main body, a material taking door, a discharge port, a controller, a power line, a feed channel, a first motor, a rotating wheel, a transmission belt and the like, wherein a winding device is arranged at the right end of the main body, a conveyer belt can be indirectly driven to rotate by a second motor, the conveyer belt drives a bearing block to rotate, meanwhile, the falling lithium battery on an powerless roller can be received and then transmitted to the inside of a collecting box, the lithium battery is prevented from falling from a high position to cause damage, and the detection effect and the practicability are improved; through having set up rotating device in the collecting box bottom, the accessible holds the piece and drives the rotor plate rotation, and the rotor plate drives the lithium cell that holds the piece and drop and removes to collecting box one end, improves the collection effect of lithium cell.
Description
Technical Field
The utility model relates to a detect quick-witted technical field, concretely relates to lithium cell defect detection machine based on degree of depth study.
Background
The lithium battery is a battery which uses lithium metal or lithium alloy as a negative electrode material and uses a non-aqueous electrolyte solution, and the lithium metal has very high requirements on the environment due to the very active chemical characteristics of the lithium metal, so that the lithium metal can be processed, stored and used. With the development of science and technology, lithium batteries become mainstream, the lithium batteries have defects, and the defects of the lithium batteries at the detection position can be detected by a detection machine.
When the detection machine detects the lithium battery, the detection machine has fewer protective measures for the lithium battery, and the defective lithium battery drops into the collecting box from the upper end in the collecting process, so that the lithium battery is easy to damage, and the practicability of the detection machine is reduced.
SUMMERY OF THE UTILITY MODEL
Technical problem to be solved
In order to overcome prior art not enough, present a lithium cell defect detection machine based on degree of depth study, solved and detected the machine and examined time measuring at the lithium cell, it is less to the safeguard measure of lithium cell that the machine is detected, and the defect lithium cell drops to the collecting box inside from the upper end in collecting the process, makes the lithium cell produce the harm easily, reduces the problem of the practicality of detecting the machine.
(II) technical scheme
The utility model discloses a following technical scheme realizes: the utility model provides a lithium battery defect detecting machine based on deep learning, including main part, roll-up device and electric putter, the main part front end face lower extreme is equipped with the door of getting the material, main part right flank middle-end is rotated with the discharge gate and is connected, main part front end face is equipped with the controller, the main part back is equipped with the power cord, the main part left side is equipped with feedstock channel, bottom fixedly connected with first motor in the main part, the roll-up device is fixedly mounted in the main part right-hand member, the roll-up device comprises shell, transport rod, driven rod, conveyer belt, bearing block, protection pad, rotating device and second motor, the shell is fixedly mounted in the main part right-hand member, the transport rod rotates with the shell upper end to be connected, the driven rod rotates with the shell inner lower extreme to be connected, the conveyer belt upper end is connected with transport rod transmission, the bearing block right-hand member and conveyer belt, the top of the bearing block is fixedly connected with a protective pad, the bottom of the rotating device is fixedly connected with the collecting box, the second motor is fixedly connected with the upper end of the right side face of the shell, an output shaft of the second motor is rotatably connected with the conveying rod, and the controller is electrically connected with the second motor.
Furthermore, the rotating device is composed of a supporting rod, a rolling spring and a rotating plate, the bottom of the supporting rod is fixedly connected with the collecting box, the top of the supporting rod is provided with the rolling spring, and the top of the rolling spring and the rotating plate rotate coaxially.
Further, first motor output shaft with rotate the coaxial rotation of wheel, it is connected with the belt rotation to rotate the wheel, the belt upper end with rotate the coaxial rotation of rod, it is connected with the main part side rotation to rotate the rod, it is connected with the belt left end transmission to rotate the rod, the belt and the adynamic cylinder one end fixed connection, main part top and industrial camera fixed connection, main part bottom right-hand member and collecting box sliding connection, main part side and electric putter fixed connection, controller and power cord, first motor, industrial camera and electric putter electricity are connected.
Furthermore, the left end of the top of the shell is hollowed out, and the thickness of the side wall of the shell is 1 CM.
Furthermore, it is the arc structure to accept the piece top, and accepts the clearance between piece one end and the shell inside wall and be 0.5 CM.
Furthermore, the thickness of the protection pad is 1.5CM, and the radian of the protection pad is the same as that of the top of the bearing block.
Furthermore, the distance between the bottom of the rotating plate and the bottom in the collecting box is 3CM, and the rotating plate is of an L-shaped structure.
Furthermore, the lower end of the shell extends to the height inside the collecting box, and is one fifth of the height of the shell.
Furthermore, the rotating plate is made of rubber.
Furthermore, the material of the bearing block is plastic.
(III) advantageous effects
Compared with the prior art, the utility model, following beneficial effect has:
1) a lithium cell defect detects machine based on degree of depth study through having set up the roll-up device at the main part right-hand member, and accessible second motor indirectly drives the conveyer belt and rotates, and the conveyer belt drives and holds the piece and rotate, can receive the lithium cell that drops on the weak cylinder simultaneously, then transmits in to the collecting box is inside, has avoided the lithium cell to drop from the eminence and produce the harm, improves detection effect and practicality.
2) A lithium cell defect detects machine based on degree of depth study, through having set up rotating device in the collecting box bottom, the accessible bears the piece and drives the rotor plate rotation, and the rotor plate drives the lithium cell that bears the piece and drop and removes to collecting box one end, improves the collection effect of lithium cell.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a schematic view of the internal structure of the main body of the present invention;
FIG. 3 is a schematic view of the main sectional structure of the present invention;
fig. 4 is a schematic structural view of the furling device of the present invention;
fig. 5 is a schematic view of the connection structure of the rotating plates of the present invention.
In the figure: the device comprises a main body-1, a material taking door-2, a material outlet-3, a controller-4, a power line-5, a material feeding channel-6, a first motor-7, a rotating wheel-8, a transmission belt-9, a rotating roller-10, a belt-11, a powerless roller-12, an industrial camera-13, a collecting box-14, a winding device-15, an electric push rod-16, a shell-151, a conveying roller-152, a driven roller-153, a conveying belt-154, a bearing block-155, a protective pad-156, a rotating device-157, a second motor-158, a supporting rod-1571, a winding spring-1572 and a rotating plate-1573.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and 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.
Referring to fig. 1, fig. 2, fig. 3, fig. 4 and fig. 5, the present invention provides a lithium battery defect detecting machine based on deep learning: comprises a main body 1, a furling device 15 and an electric push rod 16, wherein the lower end of the front end surface of the main body 1 is provided with a material taking door 2, the middle end of the right side surface of the main body 1 is rotatably connected with a material outlet 3, the front end surface of the main body 1 is provided with a controller 4, the back surface of the main body 1 is provided with a power cord 5, the left side surface of the main body 1 is provided with a feeding channel 6, the bottom in the main body 1 is fixedly connected with a first motor 7, the furling device 15 is fixedly arranged at the right end in the main body 1, the furling device 15 comprises a shell 151, a conveying roller 152, a driven roller 153, a conveying belt 154, a bearing block 155, a protective cushion 156, a rotating device 157 and a second motor 158, the shell 151 is fixedly arranged at the right end in the main body 1, the conveying roller 152 is rotatably connected with the upper end of the shell 151, the driven roller 153 is rotatably connected with, the bottom of the rotating device 157 is fixedly connected with the collecting box 14, so that the lithium batteries can be collected conveniently, the second motor 158 is fixedly connected with the upper end of the right side face of the shell 151, an output shaft of the second motor 158 is rotatably connected with the conveying roller 152, so that the conveying roller 152 can be driven to rotate conveniently, and the controller 4 is electrically connected with the second motor 158.
The rotating device 157 is composed of a supporting rod 1571, a coil spring 1572 and a rotating plate 1573, the bottom of the supporting rod 1571 is fixedly connected with the collecting box 14, the top of the supporting rod 1571 is provided with the coil spring 1572, and the top of the coil spring 1572 and the rotating plate 1573 rotate coaxially.
Wherein, the output shaft of first motor 7 rotates with rotating wheel 8 is coaxial, it rotates with belt 11 to rotate wheel 8 and is connected, belt 11 upper end rotates with rotating rod 10 is coaxial, it rotates with 1 side of main part to rotate rod 10 and is connected, it is connected with 11 left end transmission of belt to rotate rod 10, belt 11 and the 12 one end fixed connection of nos power cylinder, 1 top of main part and industrial camera 13 fixed connection, 1 bottom right-hand member of main part and 14 sliding connection of collecting box, 1 side of main part and electric putter 16 fixed connection, controller 4 and power cord 5, first motor 7, industrial camera 13 and electric putter 16 electricity are connected.
Wherein, the shell 151 top left end is fretwork form, and the shell 151 lateral wall thickness is 1CM, can make the lithium cell get into inside the shell 151.
Wherein, it is the arc structure to accept the piece 155 top, and accepts the clearance between piece 155 one end and the shell 151 inside wall and be 0.5CM, is convenient for to the transport of lithium cell.
Wherein, 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, thereby improving the conveying effect of the lithium battery.
Wherein, the bottom interval is 3CM in rotating plate 1573 bottom and the collecting box 14, and rotating plate 1573 is L shape structure, avoids the lithium cell to pile up in collecting box 14 one end.
Wherein, the shell 151 lower extreme extends to the inside height of collecting box 14, is the fifth of shell 151 height, improves the collection effect of lithium cell.
Wherein, the rotating plate 1573 is made of rubber, and has light weight, softness and high elasticity.
The material of the bearing block 155 is plastic, and the bearing block has the advantages of no corrosion, good impact resistance, good transparency and wear resistance.
The electric push rod 16 and the electric push rod 16 named as a linear driver in the patent are mainly a novel linear actuating mechanism composed of a motor push rod, a control device and other mechanisms, and can be considered as an extension of a rotating motor in the aspect of structure.
The utility model provides a lithium battery defect detector based on deep learning through improvement, and the working principle is as follows;
firstly, when the equipment is used, the equipment is placed in a working area, and then the equipment is connected with an external power supply, so that electric energy required by the work can be provided for the equipment;
secondly, placing the lithium battery with detection into the feeding channel 6, simultaneously driving the rotating wheel 8 to rotate by the first motor 7, driving the driving belt 9 to rotate by the rotating wheel 8, driving the rotating rod 10 to rotate by the driving belt 9, driving the belt 11 to rotate by the rotating rod 10, driving the powerless roller 12 to rotate while driving the lithium battery conveyed by the feeding channel 6 while driving the powerless roller 12 to rotate;
thirdly, the industrial camera 13 detects the lithium battery at the lower end, when a defect is detected, the electric push rod 16 receives a signal, and the electric push rod 16 pushes the lithium battery into the left end of the shell 151;
fourthly, the second motor 158 drives the conveying roller 152 to rotate, the conveying roller 152 drives the driven roller 153 to rotate through the conveying belt 154, the bearing block 155 can be driven to move, the lithium battery is conveyed to the top of the bearing block 155 through the shell 151, and the protection pad 156 can improve the protection of the lithium battery;
fifthly, when the receiving block 155 rotates towards the lower end, the bottom of the receiving block 155 is in contact with the rotating plate 1573, the rotating plate 1573 is driven to rotate on the support rod 1571 through the coil spring 1572, and then the dropped lithium battery is pushed towards one end of the collecting box 14;
sixthly, the lithium battery without defects is transmitted to the outside through the discharge port 3, the lithium battery is taken from the inside of the collecting box 14, the material taking door 2 can be opened through the access, and then the collecting box 14 can be pushed to the outside.
The basic principle and the main characteristics of the utility model and the advantages of the utility model have been shown and described above, and the utility model discloses the standard part that uses all can purchase from the market, and dysmorphism piece all can be customized according to the record of the description with the drawing, and the concrete connection mode of each part all adopts conventional means such as ripe bolt rivet among the prior art, welding, and machinery, part and equipment all adopt prior art, conventional model, and conventional connection mode in the prior art is adopted in addition to circuit connection, and the details are not repeated here.
It is obvious to a person skilled in the art that the invention is not restricted to details of the above-described exemplary embodiments, but that it can be implemented in other specific forms without departing from the spirit or essential characteristics of the invention. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (8)
1. A lithium battery defect detector based on deep learning comprises a main body (1) and an electric push rod (16), wherein a material taking door (2) is arranged at the lower end of the front end face of the main body (1), the middle end of the right side face of the main body (1) is rotatably connected with a material outlet (3), a controller (4) is arranged on the front end face of the main body (1), a power line (5) is arranged on the back face of the main body (1), a feeding channel (6) is arranged on the left side face of the main body (1), and a first motor (7) is fixedly connected to the bottom in the main body (1);
the method is characterized in that: the automatic winding device is characterized by further comprising a winding device (15), the winding device (15) is fixedly installed at the inner right end of the main body (1), the winding device (15) is composed of a shell (151), a conveying roller (152), a driven roller (153), a conveying belt (154), a bearing block (155), a protective pad (156), a rotating device (157) and a second motor (158), the shell (151) is fixedly installed at the inner right end of the main body (1), the conveying roller (152) is rotatably connected with the upper end of the shell (151), the driven roller (153) is rotatably connected with the inner lower end of the shell (151), the upper end of the conveying belt (154) is in transmission connection with the conveying roller (152), the right end of the bearing block (155) is fixedly connected with the conveying belt (154), the protective pad (156) is fixedly connected to the top of the bearing block (155), the bottom of the rotating device (157) is fixedly connected with the collecting box (14), and the second motor (158) is fixedly connected with the upper end of the, and the output shaft of the second motor (158) is rotationally connected with the conveying roller (152), and the controller (4) is electrically connected with the second motor (158).
2. The lithium battery defect detection machine based on deep learning of claim 1, characterized in that: the rotating device (157) is composed of a supporting rod (1571), a coil spring (1572) and a rotating plate (1573), the bottom of the supporting rod (1571) is fixedly connected with the collecting box (14), the coil spring (1572) is arranged at the top of the supporting rod (1571), and the top of the coil spring (1572) and the rotating plate (1573) rotate coaxially.
3. The lithium battery defect detection machine based on deep learning of claim 1, characterized in that: first motor (7) output shaft with rotate wheel (8) coaxial rotation, it rotates with belt (11) and is connected to rotate wheel (8), belt (11) upper end with rotate rod (10) coaxial rotation, it rotates with main part (1) side and is connected to rotate rod (10), it is connected with belt (11) left end transmission to rotate rod (10), belt (11) and nos power cylinder (12) one end fixed connection, main part (1) top and industrial camera (13) fixed connection, main part (1) bottom right-hand member and collecting box (14) sliding connection, main part (1) side and electric putter (16) fixed connection, controller (4) and power cord (5), first motor (7), industrial camera (13) and electric putter (16) electricity are connected.
4. The lithium battery defect detection machine based on deep learning of claim 1, characterized in that: the left end of the top of the shell (151) is hollowed, and the thickness of the side wall of the shell (151) is 1 CM.
5. The lithium battery defect detection machine based on deep learning of claim 1, characterized in that: the top of the bearing block (155) is of an arc structure, and the gap between one end of the bearing block (155) and the inner side wall of the shell (151) is 0.5 CM.
6. The lithium battery defect detection machine based on deep learning of claim 1, characterized in that: the thickness of the protective pad (156) is 1.5CM, and the radian of the protective pad (156) is the same as that of the top of the bearing block (155).
7. The lithium battery defect detection machine based on deep learning of claim 2, characterized in that: the distance between the bottom of the rotating plate (1573) and the bottom in the collecting box (14) is 3CM, and the rotating plate (1573) is of an L-shaped structure.
8. The lithium battery defect detection machine based on deep learning of claim 1, characterized in that: the lower end of the shell (151) extends to the inner height of the collecting box (14) and is one fifth of the height of the shell (151).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020180173.7U CN211756993U (en) | 2020-02-18 | 2020-02-18 | Lithium battery defect detection machine based on deep learning |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020180173.7U CN211756993U (en) | 2020-02-18 | 2020-02-18 | Lithium battery defect detection machine based on deep learning |
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| CN211756993U true CN211756993U (en) | 2020-10-27 |
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| CN202020180173.7U Expired - Fee Related CN211756993U (en) | 2020-02-18 | 2020-02-18 | Lithium battery defect detection machine based on deep learning |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112570956A (en) * | 2020-11-30 | 2021-03-30 | 深圳睿蚁科技有限公司 | Anti-collision type lithium battery pack welding device |
| CN113458014A (en) * | 2021-06-25 | 2021-10-01 | 马鞍山海森控电气有限公司 | Waste battery classification device and method based on feature recognition |
| CN115156093A (en) * | 2022-06-29 | 2022-10-11 | 上海商汤智能科技有限公司 | Battery shell defect detection method, system and device |
-
2020
- 2020-02-18 CN CN202020180173.7U patent/CN211756993U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112570956A (en) * | 2020-11-30 | 2021-03-30 | 深圳睿蚁科技有限公司 | Anti-collision type lithium battery pack welding device |
| CN113458014A (en) * | 2021-06-25 | 2021-10-01 | 马鞍山海森控电气有限公司 | Waste battery classification device and method based on feature recognition |
| CN113458014B (en) * | 2021-06-25 | 2022-06-24 | 马鞍山海森控电气有限公司 | Waste battery classification device and method based on feature recognition |
| CN115156093A (en) * | 2022-06-29 | 2022-10-11 | 上海商汤智能科技有限公司 | Battery shell defect detection method, system and device |
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| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20201027 Termination date: 20220218 |