CN113010982B - Lean production method for parts, electronic device, and storage medium - Google Patents

Lean production method for parts, electronic device, and storage medium Download PDF

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CN113010982B
CN113010982B CN202110339773.2A CN202110339773A CN113010982B CN 113010982 B CN113010982 B CN 113010982B CN 202110339773 A CN202110339773 A CN 202110339773A CN 113010982 B CN113010982 B CN 113010982B
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杨志辉
曾政
李坚
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Suntown Technology Group Co Ltd
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Abstract

The application provides a method for lean production of parts, an electronic device and a storage medium, wherein the method comprises the following steps: extracting main part information and auxiliary part information of the part; generating a master processing list according to the master information; generating an accessory machining list according to the accessory information; sending the main part processing list to main part processing equipment and controlling the main part processing equipment to process the main part, and sending the auxiliary part processing list to auxiliary part processing equipment and controlling the auxiliary part processing equipment to process the auxiliary part; and responding to the machining completion instruction sent by the main part machining equipment and the machining completion instruction sent by the auxiliary part machining equipment, generating a matched welding instruction and controlling the welding equipment to weld. Through the application, the production efficiency of parts can be improved.

Description

Lean production method for parts, electronic device, and storage medium
Technical Field
The present disclosure relates to the field of part processing, and more particularly, to a method for lean production of a part, an electronic device, and a storage medium.
Background
At present, the production mode of non-standard parts is mainly to form a production list by classifying and combining the parts, and finish the processing of main base materials, reinforcing ribs, sealing plates and other auxiliary parts in the same list on the same production line. The mode that this kind of major-minor part carries out production on same production line, it is many consuming time, inefficiency to need relevant technical staff to distinguish major-minor part, not only to technical requirement height, distinguish moreover and need spend time.
Disclosure of Invention
In view of the above, it is desirable to provide a method for producing a component with high precision, an electronic device, and a storage medium, which can improve the processing efficiency of the component.
The application provides a lean production method of a part, which comprises the following steps: extracting main part information and auxiliary part information of the part; generating a master processing list according to the master information; generating an auxiliary part processing list corresponding to the main part processing list according to the auxiliary part information; sending the main part processing list to main part processing equipment and controlling the main part processing equipment to process the main part, and sending the auxiliary part processing list to auxiliary part processing equipment and controlling the auxiliary part processing equipment to process the auxiliary part; and responding to a first machining finishing instruction sent by the main part machining equipment and a second machining finishing instruction sent by the auxiliary part machining equipment, generating a matched welding instruction and controlling the welding equipment to weld.
In one possible implementation manner, the extracting the master information of the part includes: encoding each master in the part according to a predefined first encoding rule; and identifying the code of each master to obtain master information.
In one possible implementation manner, the extracting accessory information of the part includes: encoding each accessory in the part according to a predefined second encoding rule; and identifying the code of each auxiliary element to obtain auxiliary element information.
In a possible implementation manner, the identifying the code of each master, and obtaining master information includes: recognizing the code of the master by using a code recognition model trained in advance to obtain a category field and a size field of the master; inquiring a preset part database according to the category field, and determining a main part name corresponding to the main part; obtaining a size parameter according to the size field; and generating the main part information of the main part according to the main part name and the size parameter.
In a possible implementation manner, the generating a master part machining list according to the master part information includes: determining a first processing procedure and processing parameters of the master according to the master information; classifying the main parts according to a preset classification rule to obtain a plurality of types of main parts; and generating a main part machining list corresponding to each type according to the code of the main part corresponding to each type of main part, the first machining procedure, the machining parameter and the code of the auxiliary part.
In a possible implementation manner, the generating an auxiliary component list corresponding to the main component list according to the auxiliary component information includes: determining a second processing procedure and the quantity of the auxiliary parts according to the auxiliary part information; and generating an auxiliary part machining list corresponding to the type of the main part according to the auxiliary part codes, the second machining process and the quantity.
In one possible implementation, before the instructions to generate the companion weld, the method further comprises: extracting a code of the master in a first machining completion instruction sent by the master machining equipment; extracting the codes of the auxiliary elements in a second processing completion instruction sent by the auxiliary element processing equipment; judging whether the code of the main part is matched with the code of the auxiliary part; generating the instructions for the companion weld upon determining that the code of the primary part matches the code of the secondary part.
In a possible implementation manner, the determining whether the code of the primary element and the code of the secondary element match includes: acquiring a target main part processing list according to the code of the main part; reading the codes of the target auxiliary parts in the target main part machining list; judging whether the code of the auxiliary element is the same as the code of the target accessory or not; when the code of the auxiliary is determined to be the same as the code of the target accessory, determining that the code of the main and the code of the auxiliary match; determining that the encoding of the primary and secondary do not match when it is determined that the encoding of the secondary is not the same as the encoding of the target attachment.
The present application further provides an electronic device, which includes a processor and a memory, wherein the processor is configured to implement the method for lean production of parts when executing the computer program stored in the memory.
The present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method of lean manufacturing of a part.
The application discloses part lean production method and relevant equipment through according to the main part information of extracting, generate main part processing manifest, and according to the auxiliary information of extracting, generate corresponding to the auxiliary processing manifest of main part processing manifest, will thereby main part processing manifest sends to main part processing equipment control the main part processing equipment is right the main part is processed, will thereby auxiliary processing manifest sends to auxiliary processing equipment control the auxiliary processing equipment is right the auxiliary is processed, is receiving the first processing that main part processing equipment sent is accomplished the instruction and when the second processing that auxiliary processing equipment sent was accomplished the instruction, generates supporting welded instruction and controls welding equipment and weld the main part and the auxiliary that processing was accomplished to accomplish the final course of working of part. By generating the main part machining list and the auxiliary part machining list, the main part and the auxiliary part are respectively subjected to special line production, so that the parallel production of the main part and the auxiliary part is realized, the production time is reduced, and the machining efficiency is improved.
Drawings
Fig. 1 is a schematic structural diagram of an electronic device according to a preferred embodiment of the present invention, which implements a method for lean manufacturing of components.
FIG. 2 is a flow chart of a preferred embodiment of a part lean manufacturing method disclosed herein.
FIG. 3 is an exemplary auxiliary parameter map disclosed herein.
FIG. 4 is an exemplary master part tooling list as disclosed herein.
FIG. 5 is an exemplary accessory tooling list as disclosed herein.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in detail below with reference to the accompanying drawings and specific embodiments.
Referring to fig. 1, fig. 1 is a schematic view of an electronic device according to an embodiment of the present disclosure. Referring to fig. 1, the electronic device 1 includes, but is not limited to, a memory 11 and at least one processor 12, which may be connected via a bus or directly.
The electronic device 1 may be a computer, a mobile phone, a tablet computer, a Personal Digital Assistant (PDA), or other devices installed with an application program. It will be understood by those skilled in the art that the schematic diagram 1 is only an example of the electronic device 1, and does not constitute a limitation to the electronic device 1, and may include more or less components than those shown, or combine some components, or different components, for example, the electronic device 1 may further include an input-output device, a network access device, a bus, etc.
Fig. 2 is a flow chart of a preferred embodiment of the method for lean manufacturing of parts according to the present application. The lean production method of the parts is applied to the electronic device 1. The order of the steps in the flow chart may be changed and some steps may be omitted according to different needs. In this embodiment, the method for lean production of parts includes:
and S11, extracting the main part information and the auxiliary part information of the part.
In this embodiment, the main member may be a main base material among the parts, for example, a pulling sheet. The auxiliary elements may be auxiliary fittings in the part, for example, reinforcing ribs and sealing plates.
In this embodiment, the extracting the master information of the part includes:
(1) Each master in the part is encoded according to a predefined first encoding rule.
The first encoding rule may be to encode the master according to the name and size data of the master. Illustratively, a diagonal wall panel of width 400, length 800 is encoded as TQ400X800.
(2) And identifying the code of each master to obtain master information. Specifically, a code of the master is obtained, and the code of the master is identified by using a pre-trained code identification model, so that a category field and a size field of the master are obtained. Optionally, a plurality of master codes are selected to train the deep neural network, so as to obtain a trained first code recognition model. The trained first code recognition model can recognize the code of the master and determine the category field and the size field of the master. And querying a preset master database according to the category field, and determining a master name corresponding to the master. And obtaining the size parameter according to the size field. And generating the main part information of the main part according to the main part name and the size parameter.
In this embodiment, the extracting the accessory information of the part includes:
(1) Each accessory in the part is encoded according to a predefined second encoding rule. The second encoding rule may be to encode the accessory according to the name and serial number of the accessory. Illustratively, the inner closure plate with flow number 200 is encoded as NFB200. Each of the codes of the auxiliary has a corresponding auxiliary parameter map, for example, the auxiliary parameter map shown in fig. 3.
(2) And identifying the code of each auxiliary element to obtain auxiliary element information. Specifically, a code of the auxiliary is obtained, and the code of the auxiliary is recognized by using a second code recognition model trained in advance, so that a category field of the auxiliary is obtained. Optionally, a plurality of accessory codes are selected to train the deep neural network, so that a second code recognition model after training is obtained. The trained second code recognition model can recognize the codes of the auxiliary elements and determine the category fields of the auxiliary elements. And querying a preset auxiliary database according to the category field, and determining an auxiliary name corresponding to the auxiliary. And generating the accessory information of the accessory according to the accessory name.
The information of the main part and the auxiliary part is obtained by coding the main part and the auxiliary part and identifying and coding the main part and the auxiliary part, so that the orderliness of the information obtaining process is ensured, and the problem of information confusion caused by too many parts is avoided.
And S12, generating a master processing list according to the master information.
In this embodiment, the content in the master processing list may include a code of the master, a type of the master, a processing procedure, a processing parameter, and a code of the corresponding auxiliary.
In this embodiment, the generating a master processing list according to the master information includes:
(1) And determining a first processing procedure and processing parameters of the master according to the master information. The first processing procedure comprises a process route, and the processing parameters comprise sawing length or grinding thickness and the like. The first processing procedure and the processing parameters may be set according to actual requirements, and are not limited herein. In specific implementation, a preset master part process comparison table is inquired according to the master part name, a first processing procedure and target parameters corresponding to the master part are determined, and the master part process comparison table comprises a mapping relation between the master part and a processing target. The processing target includes a first processing procedure and target parameters. The target parameter is a dimension parameter of the main part after processing. And calculating a parameter difference value between the dimension parameter and the target parameter, and determining the parameter difference value as a processing parameter of the main part.
(2) And classifying the main parts according to a preset classification rule to obtain a plurality of types of main parts. The preset classification rule may include classifying the master according to the judgment parameters such as the process procedure, the part type, the part weight, and the substrate type corresponding to the master. In specific implementation, the contact ratio of the machining process is calculated, the main parts of which the contact ratio is greater than or equal to a preset contact ratio threshold value are determined to be of the same type, and the main parts of which the contact ratio is less than the preset contact ratio threshold value are determined to be of different types. For example, a contact ratio threshold value of 90% is preset, the machining process corresponding to the main part a is linear sawing, single-row punching, groove milling, welding, shaping, grinding and spraying, the machining process corresponding to the main part B is linear sawing, single-row punching, groove milling, welding, shaping, grinding and spraying, the contact ratio of the machining processes of the main part a and the main part B is 100%, and the contact ratio is greater than the preset contact ratio threshold value of 90, and the main part a and the main part B are determined to be of the same type and are divided into the same type.
(3) And generating a main part machining list corresponding to each type according to the code of the main part corresponding to each type of main part, the first machining procedure, the machining parameter and the code of the corresponding auxiliary part. In specific implementation, after the main parts are classified to obtain a plurality of types of main parts, a plurality of main part machining lists are generated according to the first machining processes and the number corresponding to the plurality of types of main parts, the machining parameters, the codes of the corresponding auxiliary parts and the required number of the auxiliary parts. The main parts divided into the same type, namely the main parts of the same type, are in the same main part processing list. Such as the master tooling list shown in fig. 4. Alternatively, a single number may be set according to the master processing list, for example, the single number of the master processing list used in the 1 st unit, 2 nd room of the great sand sunny city is CSYG-01-01-02.
And S13, generating an auxiliary part processing list corresponding to the main part processing list according to the auxiliary part information.
In this embodiment, the content in the accessory list may include an accessory code, an accessory type, and a processing procedure.
In this embodiment, the generating an auxiliary machining list corresponding to the main machining list according to the auxiliary information includes:
(1) And determining a second processing procedure and the quantity of the auxiliary parts according to the auxiliary part information. The second processing step comprises a process route. The second processing step may be set according to actual requirements, and is not limited herein. In specific implementation, a preset auxiliary part process comparison table is inquired according to the auxiliary part name, and a second machining procedure corresponding to the main part is determined;
(2) And generating an auxiliary part machining list corresponding to the type of the main part according to the code of the auxiliary part, the second machining process and the required quantity.
In this embodiment, the auxiliary tooling list has the same single number as the main tooling list, e.g., referring to the auxiliary tooling list shown in FIG. 5, the main tooling list has the single number of dasd-01-1-FBJ-026, and the auxiliary tooling list has the single number of dasd-01-1-FBJ-026.
The single number of the auxiliary part machining list and the single number of the main part machining list are unified, so that the main part machining list and the auxiliary part machining list can be conveniently extracted subsequently.
S14, sending the main part machining list to main part machining equipment, controlling the main part machining equipment to machine the main part, sending the auxiliary part machining list to auxiliary part machining equipment, and controlling the auxiliary part machining equipment to machine the auxiliary part.
In this embodiment, according to the machining process in the master machining list, the master machining list is sent to the corresponding master machining equipment for machining production. And sending the auxiliary part processing list to corresponding auxiliary part processing equipment for processing production according to the processing technology in the auxiliary part processing list. It should be noted that the standard accessories in the accessory machining list can be directly taken from the standard library in batches, and the non-standard accessories are machined and produced according to the machining process route identified by the accessory machining list.
In this embodiment, the sheet number of the master list is identified, and the auxiliary list having the same sheet number is extracted from the auxiliary list. And sending the main part machining list to main part machining equipment, and sending the auxiliary part machining list to auxiliary part machining equipment at the same time.
The main part and the auxiliary part are separately produced in a special line, so that the parallel production of the main part and the auxiliary part is realized, the production time is reduced, and the processing efficiency is improved. Simultaneously, the main part with the auxiliary part is produced on special line for the required processing material kind of every production line is simple, can carry out the batching in advance, realizes batch production.
And S15, responding to a first machining finishing instruction sent by the main part machining equipment and a second machining finishing instruction sent by the auxiliary part machining equipment, generating a matched welding instruction and controlling the welding equipment to weld.
In this embodiment, the first machining completion instruction includes a code of a machined master, and the second machining completion instruction includes a code of a machined slave.
In this embodiment, prior to the instructions to generate a tack weld, the method further comprises:
extracting the code of the master in the first machining finishing instruction;
extracting the code of the first auxiliary in the second machining completion instruction;
and judging whether the code of the main part is matched with the code of the first auxiliary part. And during specific implementation, acquiring a target main part machining list according to the code of the main part, wherein the target main part machining list is the main part machining list where the code of the main part is located. Reading a code of a second auxiliary in the target master tooling list, wherein the code of the second auxiliary is a code of an auxiliary corresponding to the master. And judging whether the code of the first auxiliary element is the same as the code of the second auxiliary element. Determining that the encoding of the primary matches the encoding of the first secondary when it is determined that the encoding of the first secondary is the same as the encoding of the second secondary. Determining that the encoding of the primary and the encoding of the first secondary do not match when it is determined that the encoding of the first secondary is not the same as the encoding of the second secondary;
generating the instructions for the companion weld upon determining that the code of the primary part matches the code of the first secondary part. The instruction for the matched welding can be set according to the actual requirement of the user, for example, an instruction of "complete matched welding, please complete welding" is generated.
In this embodiment, after the instruction for generating the matched welding is generated, the instruction is sent to the welding equipment, and a related technician may perform a welding operation on the matched main part and auxiliary part according to the instruction.
Referring to fig. 1, in the present embodiment, the memory 11 may be an internal memory of the electronic device 1, that is, a memory built in the electronic device 1. In other embodiments, the memory 11 may also be an external memory of the electronic device 1, that is, a memory externally connected to the electronic device 1.
In some embodiments, the memory 11 is used for storing program codes and various data, and realizes high-speed and automatic access to programs or data during the operation of the electronic device 1.
The memory 11 may include random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
In one embodiment, the Processor 12 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any other conventional processor or the like.
The program code and various data in the memory 11 may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, all or part of the processes in the methods of the embodiments described above, for example, the steps in the methods for prolonging the service life of the battery, may also be implemented by a computer program, which may be stored in a computer-readable storage medium and can be executed by a processor to implement the steps of the embodiments of the methods described above. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), or the like.
It is understood that the above described module division is a logical function division, and there may be other division ways in actual implementation. In addition, functional modules in the embodiments of the present application may be integrated into the same processing unit, or each module may exist alone physically, or two or more modules are integrated into the same unit. The integrated module can be realized in a hardware form, and can also be realized in a form of hardware and a software functional module.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present application and not for limiting, and although the present application is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present application without departing from the spirit and scope of the technical solutions of the present application.

Claims (9)

1. A lean part production method is characterized by comprising the following steps:
extracting main part information and auxiliary part information of the part;
generating a master processing list according to the master information;
generating an auxiliary part processing list corresponding to the main part processing list according to the auxiliary part information;
sending the main part processing list to main part processing equipment and controlling the main part processing equipment to process the main part, and sending the auxiliary part processing list to auxiliary part processing equipment and controlling the auxiliary part processing equipment to process the auxiliary part;
responding to a first machining finishing instruction sent by the main part machining equipment and a second machining finishing instruction sent by the auxiliary part machining equipment, extracting a code of a main part in the first machining finishing instruction, and extracting a code of an auxiliary part in the second machining finishing instruction;
judging whether the code of the main part is matched with the code of the auxiliary part;
and when the code of the main part is determined to be matched with the code of the auxiliary part, generating a matched welding instruction and controlling welding equipment to weld the processed main part and the processed auxiliary part.
2. The method for lean production of parts according to claim 1, wherein said extracting master information of parts comprises:
encoding each master in the part according to a predefined first encoding rule;
and identifying the code of each master to obtain master information.
3. The method for lean production of parts according to claim 1, wherein said extracting accessory information of parts comprises:
encoding each accessory in the part according to a predefined second encoding rule;
and identifying the code of each auxiliary element to obtain auxiliary element information.
4. The method of claim 2, wherein the identifying the code for each master component to obtain master component information comprises:
recognizing the code of the master by using a pre-trained code recognition model to obtain a category field and a size field of the master;
inquiring a preset part database according to the category field, and determining a main part name corresponding to the main part;
obtaining a size parameter according to the size field;
and generating the main part information of the main part according to the main part name and the size parameter.
5. The method of lean part production according to claim 4, wherein said generating a master tooling list based on said master information comprises:
determining a first processing procedure and processing parameters of the master according to the master information;
classifying the main parts according to a preset classification rule to obtain a plurality of types of main parts;
and generating a main part machining list corresponding to each type according to the code of the main part corresponding to each type of main part, the first machining procedure, the machining parameter and the code of the auxiliary part.
6. The method of lean production of parts according to claim 5, wherein said generating an auxiliary tooling list corresponding to said master tooling list according to said auxiliary information comprises:
determining a second processing procedure and the quantity of the auxiliary parts according to the auxiliary part information;
and generating an auxiliary part machining list corresponding to the type of the main part according to the auxiliary part code, the second machining process and the quantity.
7. The method of claim 1, wherein the determining whether the code of the primary part and the code of the secondary part match comprises:
acquiring a target main part processing list according to the code of the main part;
reading the codes of the target auxiliary parts in the target main part machining list;
judging whether the code of the auxiliary is the same as the code of the target auxiliary or not;
determining that the encoding of the primary component matches the encoding of the secondary component when it is determined that the encoding of the secondary component is the same as the encoding of the target secondary component;
determining that the encoding of the primary and secondary does not match when it is determined that the encoding of the secondary is not the same as the encoding of the target secondary.
8. An electronic device, characterized in that the electronic device comprises a processor and a memory, the processor being configured to execute a computer program stored in the memory to implement the method of lean production of parts as claimed in any one of claims 1 to 7.
9. A computer-readable storage medium storing at least one instruction which, when executed by a processor, implements the method of lean part production of any one of claims 1 to 7.
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