CN110404923B - Intelligent cutting method for scrapped motor - Google Patents
Intelligent cutting method for scrapped motor Download PDFInfo
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- CN110404923B CN110404923B CN201910574182.6A CN201910574182A CN110404923B CN 110404923 B CN110404923 B CN 110404923B CN 201910574182 A CN201910574182 A CN 201910574182A CN 110404923 B CN110404923 B CN 110404923B
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- 238000005520 cutting process Methods 0.000 title claims abstract description 158
- 238000000034 method Methods 0.000 title claims abstract description 89
- 238000001816 cooling Methods 0.000 claims description 8
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 7
- 238000003860 storage Methods 0.000 claims description 5
- 238000004590 computer program Methods 0.000 claims description 4
- 230000000007 visual effect Effects 0.000 claims description 4
- 230000008569 process Effects 0.000 description 16
- 239000000498 cooling water Substances 0.000 description 10
- 238000003698 laser cutting Methods 0.000 description 5
- 238000004519 manufacturing process Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 238000011084 recovery Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000005674 electromagnetic induction Effects 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
- 238000011179 visual inspection Methods 0.000 description 1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B09—DISPOSAL OF SOLID WASTE; RECLAMATION OF CONTAMINATED SOIL
- B09B—DISPOSAL OF SOLID WASTE NOT OTHERWISE PROVIDED FOR
- B09B3/00—Destroying solid waste or transforming solid waste into something useful or harmless
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B26—HAND CUTTING TOOLS; CUTTING; SEVERING
- B26D—CUTTING; DETAILS COMMON TO MACHINES FOR PERFORATING, PUNCHING, CUTTING-OUT, STAMPING-OUT OR SEVERING
- B26D5/00—Arrangements for operating and controlling machines or devices for cutting, cutting-out, stamping-out, punching, perforating, or severing by means other than cutting
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02K—DYNAMO-ELECTRIC MACHINES
- H02K15/00—Methods or apparatus specially adapted for manufacturing, assembling, maintaining or repairing of dynamo-electric machines
- H02K15/0006—Disassembling, repairing or modifying dynamo-electric machines
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- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Forests & Forestry (AREA)
- Mechanical Engineering (AREA)
- Manufacturing & Machinery (AREA)
- Power Engineering (AREA)
- Environmental & Geological Engineering (AREA)
- Processing Of Solid Wastes (AREA)
- Manufacture Of Motors, Generators (AREA)
Abstract
The embodiment of the invention discloses an intelligent cutting method for a scrapped motor, which comprises the following steps: s1, establishing a database corresponding to the model of the scrapped motor and the cutting method; s2, identifying the type of the scrapped motor according to the shape of the scrapped motor, successfully identifying and entering the step S3, and failing to identify and entering the step S4; s3, acquiring a cutting method according to the type of the scrapped motor, guiding a cutting machine to cut, and entering the step S5; s4, sorting the scrapped motors in the database according to the sequence of similarity from high to low of the shapes of the scrapped motors, selecting a cutting method corresponding to the motor model arranged at the first position, guiding a cutting machine to cut, and entering the step S5; s5, judging whether the cutting is successful according to the shape of the scrapped motor; s6 moves down the motor model arranged at the first position to the last position in the database for the motor that failed the cutting. The method can not only adopt automatic cutting to improve the cutting efficiency and reduce the labor intensity, but also continuously accumulate data in the cutting process and optimize the cutting method.
Description
Technical Field
The invention relates to the technical field of motor disassembly and recovery, in particular to an intelligent cutting method for a scrapped motor.
Background
The motor is an electromagnetic device for realizing electric energy conversion or transmission according to an electromagnetic induction law. Because of convenience of electric power, electric motors have been widely used in various fields of equipment since the era of electric power generation. In order to meet different production requirements, motors come in different types, but any motor at least comprises a stator, a rotor, a coil wound on the stator and a shell for packaging the stator and the rotor.
In the motor disassembling process, the motor shell needs to be cut open, and parts such as the stator and rotor coils inside the motor shell are taken out. The types of the recovered scrapped motors are various, and the sizes, the shapes and the internal structures of the motors of different models are different, so that the cutting methods of the motors of different models are different, the automation degree in the cutting process is low, and a large number of manual cutting modes are adopted. Has the defects of high labor intensity and low treatment efficiency.
Disclosure of Invention
The invention aims to overcome the technical defects, provides an intelligent cutting method for a scrapped motor, and solves the technical problems that in the prior art, automatic cutting is difficult to realize due to multiple types of scrapped motors, and manual cutting is often adopted by workers in the actual disassembling process, so that the labor intensity of the workers is high, and the disassembling efficiency is low.
In order to achieve the technical purpose, the embodiment of the invention provides an intelligent cutting method for a scrapped motor, which comprises the following steps: s1, establishing a database corresponding to the model of the scrapped motor and the cutting method; s2, identifying the type of the scrapped motor according to the shape of the scrapped motor, successfully identifying and entering the step S3, and failing to identify and entering the step S4; s3, acquiring a cutting method according to the type of the scrapped motor, guiding a cutting machine to cut, and entering the step S5; s4, sorting the scrapped motors in the database according to the sequence of similarity from high to low of the shapes of the scrapped motors, selecting a cutting method corresponding to the motor model arranged at the first position, guiding a cutting machine to cut, and entering the step S5; s5, judging whether the cutting is successful according to the shape of the scrapped motor; s6 moves down the motor model arranged at the first position to the last position in the database for the motor that failed the cutting.
Compared with the prior art, the invention has the following beneficial effects: the intelligent cutting method of the scrapped motor of the invention utilizes a large number of disassembly methods accumulated in the prior manual disassembly process to pre-establish a database of motor models corresponding to cutting methods, then identifies the scrapped motor models in the cutting process, then calls the corresponding cutting method to control the cutting machine to automatically cut, if the motor to be cut is not stored in the database, selects the cutting method corresponding to the motor with the closest shape to the motor to cut, and records the cutting result in the database, if the cutting is successful, the same cutting method is adopted next time when the same motor is encountered, if the cutting is failed, the cutting method corresponding to the motor with the second closest shape is adopted next time to cut, the process is repeated until the cutting is successful, the intelligent cutting method of the scrapped motor not only can adopt automatic cutting to replace manual cutting, the cutting efficiency is improved, the labor intensity is reduced, meanwhile, data can be continuously accumulated in the cutting process, the cutting method is optimized, and the cutting quality is improved.
Drawings
FIG. 1 is a flowchart of an embodiment of an intelligent cutting method for a scrapped motor according to the present invention;
FIG. 2 is a schematic structural diagram of a cooling water tank when the cutting is successful in one embodiment of the intelligent cutting method for the scrapped motor provided by the invention;
fig. 3 is a schematic structural diagram of a cooling water tank when cutting fails in an embodiment of the intelligent cutting method for a scrapped motor provided by the invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
Referring to fig. 1, fig. 1 is a flowchart of an embodiment of an intelligent cutting method for a scrapped motor provided in the present invention.
The intelligent cutting method of the scrapped motor comprises the following steps:
and step S1, establishing a database corresponding to the model of the scrapped motor and the cutting method. In the existing motor recovery factory, in the long-term disassembly and recovery operation in the past, a large amount of data of the cutting methods of motors with different models are accumulated, so that a database is established, and the motor models and the corresponding cutting methods are included inside the database.
Step S2, when cutting the motor casing, first identifying the model of the scrapped motor, so as to determine the corresponding cutting method. Identifying a failed motor can take a number of modes, such as: the motor model is determined in advance through a nameplate on the motor, a corresponding mark, such as a bar code or a two-dimensional code, is attached to the scrapped motor, and model data of the motor is obtained by scanning the mark before cutting. However, the situation that the content is lost due to the fact that part of motors are not provided with nameplates or the nameplates of the scrapped motors are damaged and worn in the disassembling and transporting process exists, the number of the nameplates observed by workers and the number of the process steps of manufacturing and pasting the identification are increased, and the complexity of the disassembling process is increased. Therefore, it is preferable to identify the type of the motor to be discarded according to the shape of the motor to be discarded. And in order to improve the degree of automation, a visual recognition device is adopted to collect the appearance of the scrapped motor, and the appearance of the scrapped motor is compared with the data stored in the database to judge whether the scrapped motor is prestored in the database. If the type of the scrapped motor is prestored in the database and the model of the motor is successfully identified, the step S3 is executed; if the type of the motor is not pre-stored in the database and the model of the motor cannot be identified, the process proceeds to step S4.
And step S3, controlling a cutting machine to cut according to the model of the scrapped motor and the corresponding cutting method obtained in the step S2. The cutting machine can adopt a numerical control laser cutting machine or a numerical control plasma cutting machine, wherein the numerical control laser cutting machine has the characteristics of high cutting speed, high precision and the like, but the numerical control laser cutting machine is expensive and high in cutting cost, and is only suitable for occasions with high sheet cutting and precision requirements. The numerical control plasma cutting has the advantages of wide cutting field, capability of cutting all metal plates, high cutting speed and high efficiency. Wherein, the fine plasma cutting is adopted to ensure that the cutting quality is close to the laser cutting level, and the cost is far less than that of a numerical control laser cutting machine. Therefore, in the actual use process, a numerical control plasma cutting machine is generally adopted. After the cutting is completed, the process proceeds to step S5.
Step S4, if the shape of the motor to be cut is scanned, the corresponding motor model and cutting method are not retrieved from the database, that is, the motor of the model is not recorded in the database. And sequencing the motors in the database according to the sequence from high to low of the similarity of the motor shapes, and selecting the motor model which is arranged at the first position and has the highest similarity with the motor and the corresponding cutting method to control the cutting machine to cut. After the cutting, the process proceeds to step S5.
Step S5, after the scrapped motor is cut, it needs to detect whether the scrapped motor is cut successfully. Generally, the judgment is made according to the shape of the shell of the scrapped motor after being cut. In this step, a manual visual inspection mode can be adopted for detection. However, from the viewpoint of improving the automation degree of the whole production line, reducing the number of workers, and improving the disassembling efficiency, it is preferable to adopt a visual recognition device similar to step S2 to determine whether the scraped motor housing is successfully cut. And the scrapped motors after cutting are divided into two types according to the detection result: continuing to enter the subsequent disassembly process for the scrapped motor which is successfully cut; and the scrapped motor which fails to be cut is delivered to a worker for secondary supplementary cutting until the subsequent disassembly requirement is met.
In step S6, for the motor with failed cutting, it indicates that the cutting method is not suitable for the motor, and the cutting method needs to be changed. The motor model arranged first in the previous sequence is therefore shifted down to the last in the database. After the change, the rest motor models are shifted up by one bit as a whole, namely the second bit in the original sequence is changed into the first bit. When it is detected again that the motor needs to be disassembled later, the cutting method arranged at the first position in the step S4 is the cutting method arranged at the second position in the original sequence, and the cutting method is not implemented.
When a motor of a new model which is not recorded in a database is cut, firstly, the motor with the highest similarity is cut according to the sequence from high to low of the similarity of the motor shape, and no problem exists when the cutting is successful; if the cutting fails, the cutting method is moved down to the end, when the same-appearance motor is encountered next time, the cutting method with the highest similarity in the original sequence is adopted for cutting, and if the cutting fails again; and when the motors with the same appearance meet the requirement again, cutting by adopting a cutting method with the highest similarity in the original sequence, and so on until the cutting is successful. For the motor which is not recorded in the database, the process can be used for continuously trial and error until a cutting method capable of successfully cutting the motor is found, and the function of continuously learning in the disassembly process is realized.
In step S7, since the temperature of the motor after plasma cutting is high, in order to avoid scalding of people and damage of non-heat-resistant components (such as rubber) on the production line, the temperature of the cut motor needs to be reduced. In view of cost and cooling effect, it is generally preferable to use water cooling in the actual production process. Namely, a water tank or a water pool filled with cooling water is arranged, and a high-temperature motor subjected to plasma cutting is placed in the water tank or the water pool for cooling.
Referring to fig. 2 and fig. 3, fig. 2 is a schematic structural diagram of a cooling water tank when a cutting is successful in an embodiment of the intelligent cutting method for a scrapped motor provided in the present invention; fig. 3 is a schematic structural diagram of a cooling water tank when cutting fails in an embodiment of the intelligent cutting method for a scrapped motor provided by the invention.
The apparatus for classifying the discarded motors according to the cutting effect in step S5 may be integrated with the cooling water tank, and the classification of the cut motors is completed in the process of being sent to the cooling water tank for cooling. Namely, a cooling water tank filled with cooling water is arranged at the outlet of the cutting machine, and two tucks are arranged in the water tank and are respectively used for containing motors which are used for successfully cutting and failing to cut. The motor after cutting can make a parabola motion and fall into the cooling water tank under the action of gravity. A baffle is arranged on the moving path of the net bag, and the motor is guided into different net bags by changing the position and the angle of the baffle. Fig. 2 and 3 are only used to illustrate one embodiment, and other structures may be adopted to realize the functions of sorting and cooling.
Through the loop of the steps S4 to S6, when a new type motor which is not recorded in the database is cut, firstly, the motor with the highest similarity is cut according to the sequence from high similarity to low similarity of the motor shape, and no problem exists when the cutting is successful; and if the cutting fails, sequentially selecting a cutting method downwards according to the sequence until the cutting is successful. After the cutting is successful, when the motor is cut again, a successful cutting mode can be directly adopted. The method realizes the aims of continuously accumulating data in the cutting process, optimizing the cutting method and improving the cutting quality.
The embodiment of the invention also provides a computer storage medium, wherein a computer program is stored on the computer storage medium, and when the computer program is executed by a processor, the intelligent cutting method for the scrapped motor provided by any one of the above embodiments is realized.
The computer storage medium provided by the invention is used for realizing the intelligent cutting method of the scrapped motor, so that the technical effect of the intelligent cutting method of the scrapped motor is also achieved by the computer storage medium, and the details are not repeated herein.
The embodiment of the invention has the following beneficial effects: the intelligent cutting method of the scrapped motor of the invention utilizes a large number of disassembly methods accumulated in the prior manual disassembly process to pre-establish a database of motor models corresponding to cutting methods, then identifies the scrapped motor models in the cutting process, then calls the corresponding cutting method to control the cutting machine to automatically cut, if the motor to be cut is not stored in the database, selects the cutting method corresponding to the motor with the closest shape to the motor to cut, and records the cutting result in the database, if the cutting is successful, the same cutting method is adopted next time when the same motor is encountered, if the cutting is failed, the cutting method corresponding to the motor with the second closest shape is adopted next time to cut, the process is repeated until the cutting is successful, the intelligent cutting method of the scrapped motor not only can adopt automatic cutting to replace manual cutting, the cutting efficiency is improved, the labor intensity is reduced, meanwhile, data can be continuously accumulated in the cutting process, the cutting method is optimized, and the cutting quality is improved.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (7)
1. The intelligent cutting method for the scrapped motor is characterized by comprising the following steps of:
s1, establishing a database corresponding to the model of the scrapped motor and the cutting method;
s2, identifying the type of the scrapped motor according to the shape of the scrapped motor, entering the step S3 if the identification is successful, and entering the step S4 if the identification is failed;
s3, acquiring a cutting method according to the model of the scrapped motor, guiding a cutting machine to cut, and entering the step S5;
s4, sorting the scrapped motors in the database according to the sequence of similarity from high to low of the shapes of the scrapped motors, selecting the cutting method corresponding to the motor model arranged at the first position, guiding the cutting machine to cut, and entering the step S5;
s5, dividing the discarded motor into two types of successful cutting and failed cutting according to the discarded motor shape;
s6, for the motor with the cutting failure, the motor model arranged at the first position is moved downwards to the last position in the database.
2. The intelligent cutting method for the scrapped motor as claimed in claim 1, wherein in the step S2, a visual recognition device is used to recognize the shape of the scrapped motor.
3. The intelligent cutting method for scrapped motors of claim 1, wherein in the step S3, the cutting machine is a numerical control plasma cutting machine.
4. The intelligent cutting method for scrapped motors of claim 1, wherein in step S5, a visual recognition device is used to determine whether the cutting is successful.
5. The intelligent cutting method for the scrapped motor as claimed in claim 1, further comprising a step S7 of cooling the cut scrapped motor.
6. The intelligent cutting method for scrapped motors as claimed in claim 5, wherein the cooling manner adopted in the step S7 is water cooling.
7. A computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the intelligent cutting method for scrap motors according to any of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910574182.6A CN110404923B (en) | 2019-06-28 | 2019-06-28 | Intelligent cutting method for scrapped motor |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910574182.6A CN110404923B (en) | 2019-06-28 | 2019-06-28 | Intelligent cutting method for scrapped motor |
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| CN110404923A CN110404923A (en) | 2019-11-05 |
| CN110404923B true CN110404923B (en) | 2020-12-22 |
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| CN113118176B (en) * | 2021-03-10 | 2023-02-03 | 南京超图中小企业信息服务有限公司 | Stirring type spark plug recovery processing device |
| CN113177313B (en) * | 2021-04-28 | 2022-12-06 | 青岛科技大学 | Intelligent classifying and disassembling method for multi-type mobile phone |
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2019
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| JP2006203994A (en) * | 2005-01-19 | 2006-08-03 | Eco Advance:Kk | Cutter for casing of scrapped motor and its method |
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Effective date of registration: 20210105 Address after: No.009, Hualiang Road, Lankao County, Kaifeng City, Henan Province Patentee after: Henan green recycling electronic waste disposal Co., Ltd Patentee after: Greenmei (Wuhan) electronic waste disposal Co., Ltd Address before: No.009, Hualiang Road, Lankao County, Kaifeng City, Henan Province Patentee before: Henan green recycling electronic waste disposal Co., Ltd Patentee before: Recycling Brother (Wuhan) Internet Co.,Ltd. Patentee before: Greenmei (Wuhan) electronic waste disposal Co., Ltd |
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Address after: No.009, Hualiang Road, Lankao County, Kaifeng City, Henan Province Patentee after: Henan green recycling electronic waste disposal Co., Ltd Patentee after: Wuhan green recycling electronic waste disposal Co.,Ltd. Address before: No.009, Hualiang Road, Lankao County, Kaifeng City, Henan Province Patentee before: Henan green recycling electronic waste disposal Co., Ltd Patentee before: Greenmei (Wuhan) electronic waste disposal Co., Ltd |