CN115407736A - Method, device, equipment and medium for improving product yield - Google Patents
Method, device, equipment and medium for improving product yield Download PDFInfo
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- CN115407736A CN115407736A CN202211054343.7A CN202211054343A CN115407736A CN 115407736 A CN115407736 A CN 115407736A CN 202211054343 A CN202211054343 A CN 202211054343A CN 115407736 A CN115407736 A CN 115407736A
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- G—PHYSICS
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- 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
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- 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
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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
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Abstract
The application discloses a method, a device, equipment and a medium for improving the yield of products, which can be applied to the field of artificial intelligence or the field of finance. Acquiring operation parameters of equipment during operation; comparing and analyzing the operation parameters with historical operation parameters in a historical database to obtain target operation parameters; the target operation parameters correspond to the target product yield; and adjusting the operating parameters according to the target operating parameters so that the production yield of the equipment is matched with the target product yield. Therefore, the yield of the automatic equipment and the yield of the product can be predicted, reasoning and query are carried out according to the historical database, and a parameter setting scheme, namely a target operation parameter, which reaches the optimal working condition of the operation of the equipment can be found, so that the yield of the product is improved, the overall optimization of the operation of the equipment is realized, the control and regulation capacity of the DCS can be improved, and the artificial influence of operators is reduced.
Description
Technical Field
The present disclosure relates to the field of artificial intelligence, and more particularly, to a method, an apparatus, a device and a medium for improving product yield.
Background
In industrial production, a lot of operations requiring high precision need to be completed by means of automatic equipment, and in the process of assembling parts, a robot has many factors influencing the production efficiency and the assembly yield, but no systematic method exists for checking each factor. When the machine goes wrong, the assembly yield does not reach the standard, the machine can be observed only through an automatic engineer and repeatedly debugged, and the yield of the product output by the automatic equipment can be controlled within the standard reaching range through long-time search.
Therefore, due to the fact that the debugging time is long, the production line is in a chain, the production line moves downwards in a chain, one link has problems, the following processes cannot be continued, and the waste of resources and labor cost can be caused. In the prior art, a Distributed Control System (DCS) is adopted to control and adjust automation equipment, so that optimal adjustment cannot be timely and effectively made to production condition problem parameters, because many factors are involved, the artificial adjustment speed is slow, the operation state of a machine cannot be accurately controlled, the optimal operation condition cannot be timely and effectively controlled, and the operation performance of the machine depends on the experience and operation of operators to a great extent.
Disclosure of Invention
In view of this, an object of the present application is to provide a method, an apparatus, a device and a medium for improving the yield of products, so as to improve the yield of products, achieve the overall optimization of the operation of the device, improve the control and regulation capability of the DCS, and reduce the human influence of the operator. The specific scheme is as follows:
in a first aspect, the present application provides a method for improving product yield, including:
acquiring operation parameters of equipment in operation;
comparing and analyzing the operation parameters with historical operation parameters in a historical database to obtain target operation parameters; the target operation parameters correspond to the target product yield;
and adjusting the operating parameters according to the target operating parameters so that the production yield of the equipment is matched with the target product yield.
Optionally, the historical database includes multiple sets of historical operating data and product yield corresponding to each set of historical operating data; and the product yield corresponding to each group of historical operating data is not less than a preset value.
Optionally, the method further comprises:
acquiring environmental parameters of the surrounding environment; the environmental parameters comprise indoor temperature and dust removal conditions;
the comparing and analyzing the operation parameters and the historical operation parameters in the historical database to obtain the target operation parameters comprises:
and comparing and analyzing the operation parameters and the environment parameters with historical operation parameters and historical environment parameters in a historical database to obtain target operation parameters.
Optionally, the target operation parameters include a plurality of groups, and the adjusting the operation parameters according to the target operation parameters to match the production yield of the equipment with the target product yield includes:
adjusting the operating parameters according to the multiple groups of target operating parameters to obtain multiple groups of production yield;
and adjusting the operation parameters according to the target operation parameters corresponding to the maximum production yield so as to enable the production yield of the equipment to be matched with the target product yield.
Optionally, the operating parameters include line speed, robot angle.
In a second aspect, an embodiment of the present application further provides a device for increasing a product yield, including:
the first acquisition unit is used for acquiring the operating parameters of the equipment during operation;
the comparison unit is used for comparing and analyzing the operation parameters and historical operation parameters in a historical database to obtain target operation parameters; the target operation parameters correspond to the target product yield;
and the adjusting unit is used for adjusting the operating parameters according to the target operating parameters so as to enable the production yield of the equipment to be matched with the target product yield.
Optionally, the historical database includes multiple sets of historical operating data and product yield corresponding to each set of historical operating data; and the product yield corresponding to each group of historical operating data is not less than a preset value.
Optionally, the apparatus further comprises:
a second obtaining unit configured to obtain an environmental parameter of a surrounding environment; the environmental parameters comprise indoor temperature and dust removal conditions;
and the comparison unit is used for comparing and analyzing the operation parameters and the environment parameters with historical operation parameters and historical environment parameters in a historical database to obtain target operation parameters.
In a third aspect, an embodiment of the present application further provides a computer device, where the computer device includes a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to perform the method according to instructions in the program code.
In a fourth aspect, the present application further provides a computer-readable storage medium for storing a computer program, where the computer program is used to execute the method.
The embodiment of the application provides a method, a device, equipment and a medium for improving the yield of products, and the method comprises the steps of obtaining operating parameters of the equipment during operation; comparing and analyzing the operation parameters with historical operation parameters in a historical database to obtain target operation parameters; the target operation parameters correspond to the target product yield; and adjusting the operating parameters according to the target operating parameters so that the production yield of the equipment is matched with the target product yield. Therefore, the yield of the automation equipment and the yield of products can be predicted, reasoning and query are carried out according to the historical database, and a parameter setting scheme, namely a target operation parameter, which reaches the optimal working condition of the equipment operation can be found, so that the yield of the products is improved, the overall optimization of the equipment operation is realized, the control and regulation capacity of the DCS can be improved, and the artificial influence of operators is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart illustrating a method for improving product yield according to an embodiment of the present disclosure;
fig. 2 is a block diagram illustrating an apparatus for improving product yield according to an embodiment of the present disclosure.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, embodiments accompanying the present application are described in detail below with reference to the accompanying drawings.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, but the present application may be practiced in other ways than those described herein, and it will be appreciated by those skilled in the art that the present application may be practiced without departing from the spirit and scope of the present application, and that the present application is not limited to the specific embodiments disclosed below.
As described in the background art, the DCS is often used to control and regulate the optimal operation condition, which cannot be controlled by the complete machine operation state in a timely and effective manner.
Based on the technical problems, the embodiment of the application provides a method, a device, equipment and a medium for improving the yield of products, and the method, the device, the equipment and the medium are used for acquiring the running parameters of the equipment during running; comparing and analyzing the operation parameters with historical operation parameters in a historical database to obtain target operation parameters; the target operation parameters correspond to the target product yield; and adjusting the operating parameters according to the target operating parameters so that the production yield of the equipment is matched with the target product yield. Therefore, the yield of the automation equipment and the yield of products can be predicted, reasoning and query are carried out according to the historical database, and a parameter setting scheme, namely a target operation parameter, which reaches the optimal working condition of the equipment operation can be found, so that the yield of the products is improved, the overall optimization of the equipment operation is realized, the control and regulation capacity of the DCS can be improved, and the artificial influence of operators is reduced.
For the sake of understanding, the following detailed description of the method, apparatus, device and medium for improving the yield rate of the product according to the embodiments of the present application is provided with reference to the accompanying drawings.
Referring to fig. 1, a flow chart of a method for improving product yield according to an embodiment of the present disclosure is shown, and the method may include the following steps.
And S101, acquiring operation parameters of the equipment in operation.
In the embodiment of the application, the operation parameters of the equipment in operation can be obtained. In particular, the device may be used to mount a camera at a fixed location on a cell phone, and the operational parameters may include line speed, robot speed, and robot angle. A yield optimization system can be established, including a distributed control system DCS, for obtaining operational parameters of the equipment operation and controlling and adjusting the operational parameters of the equipment operation.
S102, comparing and analyzing the operation parameters with historical operation parameters in a historical database to obtain target operation parameters; the target operation parameter corresponds to a target product yield.
In the embodiment of the application, the historical database may include a plurality of sets of historical operating data and a product yield corresponding to each set of historical operating data; and the product yield corresponding to each group of historical operating data is not less than a preset value so as to meet the setting requirement. The yield optimization system can comprise an equipment operation model library which comprises a plurality of equipment operation models, and each model is provided with a corresponding historical database so as to meet different control requirements of different production lines.
Specifically, the yield optimization system may include a self-optimizing system, which is configured to search a closest mature case in a historical database according to the real-time operation parameters, that is, the operation parameters may be compared with historical operation parameters in the historical database to obtain target operation parameters, and the target operation parameters may be operated to obtain a corresponding target product yield.
S103, adjusting the operation parameters according to the target operation parameters so that the production yield of the equipment is matched with the target product yield.
In this embodiment of the present application, the operation parameters may be adjusted according to the target operation parameters, so that the production yield of the equipment matches the target product yield, specifically, the operation parameters may be adjusted according to the most successful mature case, the target operation parameters of the equipment operation may be set, and the adjusted operation parameters may be output to the DCS. Therefore, the yield of the automatic equipment and the yield of the product can be predicted, reasoning and query are carried out according to the historical database, and a parameter setting scheme, namely a target operation parameter, which reaches the optimal working condition of the operation of the equipment can be found, so that the yield of the product is improved, the overall optimization of the operation of the equipment is realized, the control and regulation capacity of the DCS can be improved, the artificial influence of operators is reduced, and the overall optimization of the yield and the yield of the automatic equipment can be realized.
In the embodiment of the present application, the method may further include obtaining an environmental parameter of the surrounding environment; the environmental parameters comprise indoor temperature and dust removal conditions; the comparing and analyzing the operation parameters and the historical operation parameters in the historical database to obtain the target operation parameters comprises: and comparing and analyzing the operation parameters and the environment parameters with historical operation parameters and historical environment parameters in a historical database to obtain target operation parameters. Specifically, the yield optimization system may include an equipment operating environment monitoring system, which is configured to obtain environmental parameters, such as different indoor temperatures, and obtain different product yields under the same operating parameters. The self-optimizing system can find the closest mature case in the historical database according to the real-time operation parameters and the environmental parameters.
In an embodiment of the present application, the target operation parameters may include a plurality of sets, and the adjusting the operation parameters according to the target operation parameters to match the production yield of the device with the target product yield includes: adjusting the operating parameters according to the multiple groups of target operating parameters to obtain multiple groups of production yield; and adjusting the operation parameters according to the target operation parameters corresponding to the maximum production yield so as to enable the production yield of the equipment to be matched with the target product yield. Specifically, a plurality of groups of target operation parameters can be determined, the plurality of groups of target operation parameters are all sent to the production line to be set, corresponding product yields are obtained, the maximum product yield is selected from the product yields, and the corresponding target operation parameters serve as the adjustment basis of the operation parameters to obtain higher product yields.
Specifically, the historical database can be arranged in a model, the yield optimization system mainly utilizes the operation data of the automation equipment and the ambient environment data, the operation process of the machine is regarded as a black box, the relation between input parameters and output parameters is combed, a mathematical model for the machine set is built and tested, and the model subjected to simulation testing is used as a prediction model to be put into actual operation. The artificial intelligence modeling can be used for simulating thinking, methods, experiences and strategies when the equipment is operated to optimize problems by monitoring the equipment operation in real time. The intelligent algorithm is adopted to carry out global search to determine the optimal values of various operating parameters of the equipment during operation, so that the temperature, pressure, speed, distance, precision, light and the like of the equipment during operation are mutually coupled, diversification is realized, and the overall optimization is achieved.
The embodiment of the application provides a method for improving the yield of products, which comprises the steps of obtaining operating parameters of equipment during operation; comparing and analyzing the operation parameters with historical operation parameters in a historical database to obtain target operation parameters; the target operation parameters correspond to the target product yield; and adjusting the operating parameters according to the target operating parameters so that the production yield of the equipment is matched with the target product yield. Therefore, the yield of the automatic equipment and the yield of the product can be predicted, reasoning and query are carried out according to the historical database, and a parameter setting scheme, namely a target operation parameter, which reaches the optimal working condition of the operation of the equipment can be found, so that the yield of the product is improved, the overall optimization of the operation of the equipment is realized, the control and regulation capacity of the DCS can be improved, and the artificial influence of operators is reduced.
Based on the above method for improving the product yield, an embodiment of the present application further provides a device for improving the product yield, and referring to fig. 2, the device for improving the product yield according to the embodiment of the present application has a block diagram, and the device may include:
a first obtaining unit 100, configured to obtain an operating parameter when the device operates;
a comparison unit 200, configured to compare and analyze the operation parameters with historical operation parameters in a historical database to obtain target operation parameters; the target operation parameters correspond to the target product yield;
an adjusting unit 300, configured to adjust the operating parameter according to the target operating parameter, so that the production yield of the device matches the target product yield.
Optionally, the historical database includes multiple sets of historical operating data and product yield corresponding to each set of historical operating data; and the product yield corresponding to each group of historical operating data is not less than a preset value.
Optionally, the apparatus further comprises:
a second obtaining unit configured to obtain an environmental parameter of a surrounding environment; the environmental parameters comprise indoor temperature and dust removal conditions;
and the comparison unit is used for comparing and analyzing the operation parameters and the environment parameters with historical operation parameters and historical environment parameters in a historical database to obtain target operation parameters.
The embodiment of the application provides a device for improving the yield of products, which comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring the operating parameters of equipment during operation; the comparison unit is used for comparing and analyzing the operation parameters and historical operation parameters in a historical database to obtain target operation parameters; the target operation parameters correspond to the target product yield; and the adjusting unit is used for adjusting the operating parameters according to the target operating parameters so as to enable the production yield of the equipment to be matched with the target product yield. Therefore, the yield of the automation equipment and the yield of products can be predicted, reasoning and query are carried out according to the historical database, and a parameter setting scheme, namely a target operation parameter, which reaches the optimal working condition of the equipment operation can be found, so that the yield of the products is improved, the overall optimization of the equipment operation is realized, the control and regulation capacity of the DCS can be improved, and the artificial influence of operators is reduced.
In yet another aspect, an embodiment of the present application provides a computer device, including a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is used for executing the method for improving the product yield provided by the embodiment according to the instructions in the program code.
The computer device may include a terminal device or a server, and the aforementioned device for improving the product yield may be configured in the computer device.
In another aspect, the present application further provides a storage medium for storing a computer program, where the computer program is used to execute the method for improving the yield of products provided by the foregoing embodiments.
In addition, the embodiment of the present application also provides a computer program product including instructions, which when run on a computer, causes the computer to execute the method for improving the product yield provided by the above embodiment.
Those of ordinary skill in the art will understand that: all or part of the steps of implementing the method embodiments may be implemented by hardware instructions of a program, where the program may be stored in a computer-readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium may be at least one of the following media: various media that can store program codes, such as a Read-only Memory (ROM), a RAM, a magnetic disk, or an optical disk.
It should be noted that the method, the device, the equipment and the medium for improving the product yield provided by the invention can be used in the field of artificial intelligence or the financial field. The above description is only an example, and does not limit the application fields of the method, the apparatus, the device and the medium for improving the yield of the product provided by the present invention.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the apparatus embodiment, since it is substantially similar to the method embodiment, it is relatively simple to describe, and reference may be made to some descriptions of the method embodiment for relevant points.
The foregoing is merely a preferred embodiment of the present application and, although the present application discloses the foregoing preferred embodiments, the present application is not limited thereto. Those skilled in the art can make numerous possible variations and modifications to the disclosed solution, or modify it to equivalent embodiments, using the methods and techniques disclosed above, without departing from the scope of the claimed solution. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present application still fall within the protection scope of the technical solution of the present application without departing from the content of the technical solution of the present application.
Claims (10)
1. A method for increasing product yield, comprising:
acquiring operation parameters of equipment in operation;
comparing and analyzing the operation parameters with historical operation parameters in a historical database to obtain target operation parameters; the target operation parameters correspond to the target product yield;
and adjusting the operating parameters according to the target operating parameters so that the production yield of the equipment is matched with the target product yield.
2. The method of claim 1, wherein the historical database comprises a plurality of sets of historical operating data and a product yield corresponding to each set of historical operating data; and the product yield corresponding to each group of historical operating data is not less than a preset value.
3. The method of claim 1, further comprising:
acquiring environmental parameters of the surrounding environment; the environmental parameters comprise indoor temperature and dust removal conditions;
the comparing and analyzing the operation parameters and the historical operation parameters in the historical database to obtain the target operation parameters comprises:
and comparing and analyzing the operation parameters and the environment parameters with historical operation parameters and historical environment parameters in a historical database to obtain target operation parameters.
4. The method of claim 1, wherein the target operating parameters comprise a plurality of sets, and wherein adjusting the operating parameters according to the target operating parameters to match the production yield of the equipment to the target product yield comprises:
adjusting the operating parameters according to the multiple groups of target operating parameters to obtain multiple groups of production yield;
and adjusting the operation parameters according to the target operation parameters corresponding to the maximum production yield so as to enable the production yield of the equipment to be matched with the target product yield.
5. The method of any of claims 1-4, wherein the operational parameters include line speed, robot angle.
6. An apparatus for improving product yield, comprising:
the first acquisition unit is used for acquiring the operating parameters of the equipment during operation;
the comparison unit is used for comparing and analyzing the operation parameters and historical operation parameters in a historical database to obtain target operation parameters; the target operation parameters correspond to the target product yield;
and the adjusting unit is used for adjusting the operating parameters according to the target operating parameters so as to enable the production yield of the equipment to be matched with the target product yield.
7. The apparatus of claim 6, wherein the historical database comprises a plurality of sets of historical operating data and a product yield corresponding to each set of historical operating data; and the product yield corresponding to each group of historical operating data is not less than a preset value.
8. The apparatus of claim 6, further comprising:
a second obtaining unit configured to obtain an environmental parameter of a surrounding environment; the environmental parameters comprise indoor temperature and dust removal conditions;
and the comparison unit is used for comparing and analyzing the operation parameters and the environment parameters with historical operation parameters and historical environment parameters in a historical database to obtain target operation parameters.
9. A computer device, the computer device comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to perform the method of any one of claims 1-5 in accordance with instructions in the program code.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium is used to store a computer program for performing the method of any of claims 1-5.
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| CN202211054343.7A CN115407736A (en) | 2022-08-31 | 2022-08-31 | Method, device, equipment and medium for improving product yield |
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| CN202211054343.7A CN115407736A (en) | 2022-08-31 | 2022-08-31 | Method, device, equipment and medium for improving product yield |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116387208A (en) * | 2023-06-02 | 2023-07-04 | 合肥喆塔科技有限公司 | Chamber matching analysis method, system, equipment and medium based on threshold control |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116387208A (en) * | 2023-06-02 | 2023-07-04 | 合肥喆塔科技有限公司 | Chamber matching analysis method, system, equipment and medium based on threshold control |
| CN116387208B (en) * | 2023-06-02 | 2023-08-18 | 合肥喆塔科技有限公司 | Chamber matching analysis method, system, equipment and medium based on threshold control |
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