CN115016420A - Intelligent processing system for aluminum parts - Google Patents
Intelligent processing system for aluminum parts Download PDFInfo
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- CN115016420A CN115016420A CN202210752584.2A CN202210752584A CN115016420A CN 115016420 A CN115016420 A CN 115016420A CN 202210752584 A CN202210752584 A CN 202210752584A CN 115016420 A CN115016420 A CN 115016420A
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- 238000012545 processing Methods 0.000 title claims abstract description 159
- AZDRQVAHHNSJOQ-UHFFFAOYSA-N alumane Chemical group [AlH3] AZDRQVAHHNSJOQ-UHFFFAOYSA-N 0.000 title claims abstract description 20
- 238000004519 manufacturing process Methods 0.000 claims abstract description 49
- 238000001514 detection method Methods 0.000 claims abstract description 26
- 238000000034 method Methods 0.000 claims description 23
- 238000003754 machining Methods 0.000 claims description 20
- 238000013473 artificial intelligence Methods 0.000 claims description 13
- 239000000463 material Substances 0.000 claims description 12
- 238000012549 training Methods 0.000 claims description 12
- 238000004891 communication Methods 0.000 claims description 8
- 230000003993 interaction Effects 0.000 claims description 3
- 238000013102 re-test Methods 0.000 claims description 3
- 239000002699 waste material Substances 0.000 abstract description 4
- 238000010923 batch production Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 229910000838 Al alloy Inorganic materials 0.000 description 1
- 229910052782 aluminium Inorganic materials 0.000 description 1
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013527 convolutional neural network Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 229910052751 metal Inorganic materials 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 231100000956 nontoxicity Toxicity 0.000 description 1
- 238000012946 outsourcing Methods 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- 238000000275 quality assurance Methods 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
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- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- General Factory Administration (AREA)
Abstract
The invention discloses an intelligent processing system for aluminum parts, relates to the technical field of aluminum part processing, and solves the technical problems of resource waste and low efficiency caused by production parameter errors in the prior art; the invention obtains the work order form through the work order module, and obtains the processing information according to the work order form; sending the processing information to a sample part processing module; the sample part processing module receives the processing information and produces a sample part according to the processing information; the sample part detection module detects whether the sample part meets the production requirement, and marks the sample part parameters of the detected sample part meeting the production requirement as standard parameters; sending the standard parameters to a part processing module; the part processing module receives the standard parameters and produces parts according to the standard parameters; before the parts are produced in a large scale, the sample parts are produced to obtain accurate parameter values, and the parts are produced and processed according to the accurate parameter values, so that the loss is avoided, and the efficiency of producing and processing the parts is improved.
Description
Technical Field
The invention belongs to the field of aluminum products, relates to an aluminum part processing technology, and particularly relates to an intelligent processing system for aluminum parts.
Background
The aluminum alloy has the characteristics of low density, good mechanical property, good processing property, no toxicity, easy recovery, good conductivity, heat transfer property, corrosion resistance and the like, and is widely used in the fields of marine industry, chemical industry, aerospace, metal packaging, transportation and the like.
With the gradual development and progress of production technology, the requirements on the production of aluminum parts are higher and higher, especially the requirements on production quality and production efficiency. In the production and processing process of the aluminum parts, mass production is usually adopted, parameters required by part processing cannot be wrong, when the parameters are wrong, the large number of parts are wrong, more loss is caused, and the production efficiency is not high.
To this end, an intelligent machining system for aluminum parts is proposed.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides an intelligent processing system for aluminum parts, which solves the problems of resource waste and low efficiency caused by the error of production parameters in the prior art.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides an intelligent processing system for aluminum parts, which includes a control platform, and a work order module, a sample part processing module, a sample part detection module, and a part processing module connected thereto; information interaction is carried out among all modules based on a data signal mode;
the work order module is used for acquiring a work order table and acquiring processing information according to the work order table; wherein the processing information comprises part patterns, technical requirements and part materials;
sending the processing information to the sample part processing module;
the sample part processing module is used for receiving the processing information and producing a sample part according to the processing information;
the sample part detection module is used for detecting whether the sample part meets the production requirement or not, and marking the sample part parameters of the detected sample part meeting the production requirement as standard parameters; wherein the standard parameters comprise machining procedures and part sizes;
sending the standard parameters to a part processing module;
and the part processing module is used for receiving the standard parameters and producing parts according to the standard parameters.
Preferably, the work order module acquires a work order form, and acquires the processing information according to the work order form, and the specific process includes:
the administrator uploads the work order form to the control platform through the intelligent terminal;
the control platform generates an order placing signal and sends the order placing signal to the work order module;
the work order module receives the order placing signal to obtain a work order table;
the work order module acquires a part pattern, technical requirements and a part material in a work order table;
the work order module arranges the part pattern, the technical requirements and the part material into processing information and sends the processing information to the sample part processing module.
Preferably, the intelligent terminal comprises an intelligent mobile phone and a computer.
Preferably, the sample part processing module receives the processing information and produces the sample part according to the processing information, and the specific process includes:
the sample part processing module comprises a sample part parameter unit and a sample part processing unit;
the sample part processing module receives the processing information;
the sample part parameter unit acquires sample part parameters according to the processing information and the sample part processing model; the sample part machining model is established based on an artificial intelligence model;
and the sample part processing unit is used for producing the sample part according to the sample part parameters.
Preferably, the sample part machining model is established based on an artificial intelligence model, and the specific process comprises the following steps:
obtaining standard training data from a sample part processing module;
training the artificial intelligence model through standard training data, and marking the trained artificial intelligence model as a sample part processing model;
the standard training data includes sets of machining information and corresponding sample part parameters.
Preferably, the sample part detection module detects whether the sample part meets the production requirement, and marks the sample part parameter of the detected sample part meeting the production requirement as a standard parameter, and the specific process includes:
the worker detects the appearance and the size of the sample part and judges whether the sample part meets the production requirement;
when the sample part meets the production requirements, marking the corresponding sample part parameters as standard parameters;
when the sample part does not meet the production requirements, the worker modifies the corresponding sample part parameters and sends the modified sample part parameters to the sample part processing module;
the sample part processing module receives the modified sample part parameters;
the sample part processing unit is used for producing sample parts according to the modified sample part parameters;
the staff retests the appearance and the size of the sample part, judges whether the sample part meets the production requirements or not, and marks the corresponding sample part parameters as standard parameters until the sample part meets the production requirements;
and the sample part detection module sends the standard parameters to the part processing module and sends a sample detection completion signal to the control platform.
Preferably, the part processing module receives the standard parameters and produces parts according to the standard parameters, and the specific process includes:
the control platform sends a machining signal to the part machining module;
the part processing module receives the standard parameters;
and producing the parts according to the standard parameters.
Preferably, the work order module is in communication and/or electrical connection with the sample part machining module;
the sample part processing module is in communication and/or electrical connection with the sample part detection module;
compared with the prior art, the sample part detection module and the part processing module are communicated and/or electrically connected, and the sample part detection module has the beneficial effects that:
the invention obtains the work order form through the work order module, and obtains the processing information according to the work order form; sending the processing information to a sample part processing module; the sample part processing module receives the processing information and produces a sample part according to the processing information; the sample part detection module detects whether the sample part meets the production requirement, and marks the sample part parameters of the detected sample part meeting the production requirement as standard parameters; sending the standard parameters to a part processing module; the part processing module receives the standard parameters and produces parts according to the standard parameters; before the parts are produced in a large scale, the sample parts are produced to obtain accurate parameter values, and the parts are produced and processed according to the accurate parameter values, so that the loss is avoided, and the efficiency of producing and processing the parts is improved.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an intelligent processing system for aluminum parts comprises a control platform, and a work order module, a sample part processing module, a sample part detection module and a part processing module connected with the control platform; information interaction is carried out among all modules based on a data signal mode;
the work order module is used for acquiring a work order table and acquiring processing information according to the work order table; wherein the processing information comprises part patterns, technical requirements and part materials;
sending the processing information to the sample part processing module;
the sample part processing module is used for receiving the processing information and producing a sample part according to the processing information;
the sample part detection module is used for detecting whether the sample part meets the production requirement or not, and marking the sample part parameters of the detected sample part meeting the production requirement as standard parameters; wherein the standard parameters comprise machining procedures and part sizes;
sending the standard parameters to a part processing module;
and the part processing module is used for receiving the standard parameters and producing parts according to the standard parameters.
The work order module acquires a work order sheet and acquires processing information according to the work order sheet, and the specific process comprises the following steps:
the administrator uploads the work order form to the control platform through the intelligent terminal; the intelligent terminal comprises intelligent equipment such as an intelligent mobile phone and a computer;
the control platform generates an order placing signal and sends the order placing signal to the work order module; it should be further noted that after the manufacturer communicates with the customer, the manufacturer knows the customer's needs, and manufactures a work order form according to the part drawing provided by the customer or the part drawing designed for the customer, wherein the work order form usually includes part patterns, technical requirements and part materials, and the manufacturer can manufacture the parts according to the work order form;
the work order module receives the order placing signal to obtain a work order table;
the work order module acquires a part pattern, technical requirements and a part material in a work order table;
the work order module arranges the part pattern, the technical requirements and the part material into processing information and sends the processing information to the sample part processing module.
The sample part processing module receives the processing information and produces sample parts according to the processing information, and the specific process comprises the following steps:
the sample part processing module comprises a sample part parameter unit and a sample part processing unit;
the sample part processing module receives the processing information;
the sample part parameter unit acquires sample part parameters according to the processing information and the sample part processing model; the sample part machining model is established based on an artificial intelligence model;
and the sample part processing unit is used for producing the sample part according to the sample part parameters.
It should be further noted that the parameters required by the part processing cannot be wrong, because the parts are usually produced in large batch, when the parameters are wrong, the parts in large batch are wrong, and the loss is more, therefore, sample parts are produced, accurate parameter values are obtained, the processed parts are produced according to the accurate parameter values, the loss is avoided, and the production and processing efficiency is improved; the reason for producing the sample parts is:
first, it is common for an enterprise to encounter an urgent order in the parts processing industry, and one of the benefits of producing a sample part is to increase productivity and increase the production processing speed. Whether the parts are produced and processed in an outsourcing mode or the production departments of the enterprises finish the sampling firstly and then carry out the batch production, the finished products are made in advance, the leakage is detected and the defects are repaired to be finally modified into qualified products, and then the qualified products are subjected to the batch production, so that the efficiency is naturally improved;
secondly, the cost is reduced as another benefit of producing the sample parts, whether the sample parts are produced in an urgent order or not can ensure that the subsequent production and processing process is smoother, and the related material management and personnel management can be arranged and scheduled according to the sample part production process, so that the situations of human resource waste and material resource waste can be effectively avoided;
thirdly, the fewer errors and better quality for the production of parts, one of the objectives of producing sample parts is to reduce the occurrence of errors, and it is true that producing sample parts can reduce the errors in the whole part processing process much at present, especially in urgent orders and large-batch orders, which is the best way to reduce the occurrence of errors, and in small-batch orders, which is also to produce sample parts for quality assurance.
In an optional embodiment, the sample part processing model is established based on an artificial intelligence model, and the specific process includes:
obtaining standard training data from a sample part processing module;
and training the artificial intelligence model through standard training data, and marking the trained artificial intelligence model as a sample part machining model.
In this embodiment, the standard training data includes a plurality of sets of processing information and corresponding sample part parameters, and the input data and the original data have consistent content attributes; it will be appreciated that both the input data and the raw data include a selected number N of process information, with the only specific requirements for the process information being different.
In this embodiment, the artificial intelligence model includes a model with strong nonlinear fitting capability, such as a deep convolutional neural network model or an RBF neural network model.
The sample part detection module detects whether the sample part meets the production requirement, and the sample part parameter of the detection sample part meeting the production requirement is marked as a standard parameter, and the specific process comprises the following steps:
the working personnel detect the appearance and the size of the sample part and judge whether the sample part meets the production requirements;
when the sample part meets the production requirements, marking the corresponding sample part parameters as standard parameters;
when the sample part does not meet the production requirements, the worker modifies the corresponding sample part parameters and sends the modified sample part parameters to the sample part processing module;
the sample part processing module receives the modified sample part parameters;
the sample part processing unit is used for producing sample parts according to the modified sample part parameters;
the staff retests the appearance and the size of the sample part, judges whether the sample part meets the production requirements or not, and marks the corresponding sample part parameters as standard parameters until the sample part meets the production requirements;
and the sample part detection module sends the standard parameters to the part processing module and sends a sample detection completion signal to the control platform.
The part processing module receives the standard parameters and produces parts according to the standard parameters, and the specific process comprises the following steps:
the control platform sends a machining signal to the part machining module;
the part processing module receives the standard parameters;
and producing the parts according to the standard parameters.
In this embodiment, the work order module is in communication and/or electrical connection with the sample part processing module;
the sample part processing module is in communication and/or electrical connection with the sample part detection module;
the sample part detection module is in communication and/or electrical connection with the part machining module.
The working principle of the invention is as follows:
the work order module acquires a work order table and acquires processing information according to the work order table; sending the processing information to a sample part processing module;
the sample part processing module receives the processing information and produces a sample part according to the processing information;
the sample part detection module detects whether the sample part meets the production requirement, and marks the sample part parameters of the detected sample part meeting the production requirement as standard parameters; sending the standard parameters to a part processing module;
the part processing module receives the standard parameters and produces parts according to the standard parameters.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (8)
1. An intelligent processing system for aluminum parts is characterized by comprising a control platform, and a work order module, a sample part processing module, a sample part detection module and a part processing module which are connected with the control platform; information interaction is carried out among all modules based on a data signal mode;
the work order module is used for acquiring a work order table and acquiring processing information according to the work order table; wherein the processing information comprises part patterns, technical requirements and part materials;
sending the processing information to the sample part processing module;
the sample part processing module is used for receiving the processing information and producing a sample part according to the processing information;
the sample part detection module is used for detecting whether the sample part meets the production requirement or not, and marking the sample part parameters of the detected sample part meeting the production requirement as standard parameters; wherein the standard parameters comprise machining procedures and part sizes;
sending the standard parameters to a part processing module;
and the part processing module is used for receiving the standard parameters and producing parts according to the standard parameters.
2. The intelligent processing system for the aluminum parts as claimed in claim 1, wherein the work order module acquires a work order form, and processing information is acquired according to the work order form, and the specific process includes:
the administrator uploads the work order form to the control platform through the intelligent terminal;
the control platform generates an order placing signal and sends the order placing signal to the work order module;
the work order module receives the order placing signal to obtain a work order table;
the work order module acquires part patterns, technical requirements and part materials in a work order table;
the work order module arranges the part pattern, the technical requirements and the part material into processing information and sends the processing information to the sample part processing module.
3. The intelligent processing system for the aluminum parts as claimed in claim 2, wherein the intelligent terminal comprises a smart phone and a computer.
4. The intelligent processing system for aluminum parts as claimed in claim 3, wherein the sample part processing module receives the processing information and produces sample parts according to the processing information, and the specific process comprises:
the sample part processing module comprises a sample part parameter unit and a sample part processing unit;
the sample part processing module receives the processing information;
the sample part parameter unit acquires sample part parameters according to the processing information and the sample part processing model; the sample part machining model is established based on an artificial intelligence model;
and the sample part processing unit is used for producing the sample part according to the sample part parameters.
5. The intelligent processing system for the aluminum parts as claimed in claim 4, wherein the sample part processing model is established based on an artificial intelligence model, and the specific process comprises the following steps:
obtaining standard training data from a sample part processing module;
training the artificial intelligence model through standard training data, and marking the trained artificial intelligence model as a sample part processing model;
the standard training data includes sets of machining information and corresponding sample part parameters.
6. The intelligent processing system for the aluminum parts as claimed in claim 5, wherein the sample part detection module detects whether the sample parts meet production requirements, and marks the sample part parameters of the detected sample parts meeting the production requirements as standard parameters, and the specific process comprises:
the working personnel detect the appearance and the size of the sample part and judge whether the sample part meets the production requirements;
when the sample part meets the production requirements, marking the corresponding sample part parameters as standard parameters;
when the sample part does not meet the production requirements, the worker modifies the corresponding sample part parameters and sends the modified sample part parameters to the sample part processing module;
the sample part processing module receives the modified sample part parameters;
the sample part processing unit is used for producing sample parts according to the modified sample part parameters;
the staff retests the appearance and the size of the sample part, judges whether the sample part meets the production requirements or not, and marks the corresponding sample part parameters as standard parameters until the sample part meets the production requirements;
and the sample part detection module sends the standard parameters to the part processing module and sends a sample detection completion signal to the control platform.
7. The intelligent processing system for aluminum parts as claimed in claim 6, wherein the part processing module receives the standard parameters and produces parts according to the standard parameters, and the specific process comprises:
the control platform sends a machining signal to the part machining module;
the part processing module receives the standard parameters;
and producing the parts according to the standard parameters.
8. An intelligent processing system for aluminum parts as claimed in claim 7, wherein the work order module is in communication and/or electrical connection with the sample part processing module;
the sample part processing module is in communication and/or electrical connection with the sample part detection module;
the sample part detection module is in communication and/or electrical connection with the part machining module.
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| CN202210752584.2A CN115016420A (en) | 2022-06-28 | 2022-06-28 | Intelligent processing system for aluminum parts |
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| CN202210752584.2A CN115016420A (en) | 2022-06-28 | 2022-06-28 | Intelligent processing system for aluminum parts |
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