CN116679641A - Multi-objective optimization method of automatic assembly production line considering process rigidity constraint - Google Patents
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- 238000004806 packaging method and process Methods 0.000 claims description 5
- 238000005299 abrasion Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 3
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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
- 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
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- G—PHYSICS
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Abstract
The invention provides a multi-objective optimization method of an automatic assembly production line taking process rigidity constraint into consideration, which comprises the following specific operation steps: s1: optimizing operation treatment for transporting production line materials; s2: optimizing the process flow of the production line; s3: optimizing the working procedures of a production line; s4: the robot integration and control optimization operation of the production line; s5: data analysis and visualization operations; s6: optimizing a human-computer interaction interface; s7: the invention can sequentially optimize the material transportation, the process flow, the working procedure, the robot integration and control, the data analysis and the visual operation, the man-machine interaction interface and the resource utilization rate of the automatic assembly production line through the seven steps, can achieve the comprehensive optimization treatment of the automatic assembly production line, and can effectively improve the flexibility of the working procedure adjustment through the designed working procedure optimization.
Description
Technical Field
The invention relates to the technical field of automatic assembly production lines, in particular to a multi-objective optimization method of an automatic assembly production line taking process rigidity constraint into consideration.
Background
The automatic assembly production line is a modern production mode for completing tasks such as product assembly, packaging and transportation by utilizing advanced robot technology and automatic equipment, can greatly improve the production efficiency and the product quality, and can reduce the production cost and the labor force requirement. The robots and the equipment can be controlled and coordinated through a computer program, so that efficient production flow is realized, and the advantages of an automatic assembly production line include: the production efficiency is improved: the automatic assembly production line can rapidly and accurately complete the tasks of assembly, packaging, transportation and the like, thereby greatly improving the production efficiency; the product quality is improved: because the automatic assembly production line can eliminate the influence of human factors on the production process, the stability and consistency of the product quality can be improved; the production cost is reduced: the automatic assembly production line can greatly reduce the production cost, and can reduce the labor requirement, reduce the rejection rate and improve the production efficiency; safety and reliability: the automatic production line can avoid personnel contacting dangerous machines or materials, so that the safety of a workplace can be improved; the method can be customized: the automatic assembly production line can be flexibly adjusted and configured according to different products and production requirements, so that diversified and customized production is realized, and in a word, the automatic assembly production line is a modern, high-efficiency, high-quality, low-cost, safe and reliable production mode, and is worthy of attention and adoption of various enterprises.
However, the existing automated assembly line has the following problems in the daily use process: (1) The automatic assembly production line needs to rely on high-quality parts and raw materials which are supplied on time, if a problem occurs in a supply chain, the operation of the automatic assembly production line can be influenced, and a means for carrying out targeted optimization on each working procedure of the production line is lacking; (2) The process steps of an automated assembly line are typically pre-programmed and cannot be quickly adjusted or changed, requiring reconfiguration of the line when production requirements change, which can require additional costs and time. For this purpose, a corresponding technical solution is required to be designed to solve the existing technical problems.
Disclosure of Invention
The invention aims to provide a multi-objective optimization method of an automatic assembly production line, which considers the rigid constraint of a process, solves the technical problems that the automatic assembly production line needs to rely on high-quality and on-time supplied parts and raw materials, if a supply chain is in a problem, the operation of the automatic assembly production line can be influenced, and the process of the automatic assembly production line is usually planned in advance and cannot be quickly adjusted or changed due to lack of means for carrying out targeted optimization on each process of the production line, and when the production requirement changes, the production line needs to be reconfigured, which may require additional cost and time.
In order to achieve the above purpose, the present invention provides the following technical solutions: the multi-objective optimization method of the automatic assembly production line considering the process rigidity constraint comprises the following specific operation steps:
s1: optimizing operation treatment for transporting production line materials;
s2: optimizing the process flow of the production line;
s3: optimizing the working procedures of a production line;
s4: the robot integration and control optimization operation of the production line;
s5: data analysis and visualization operations;
s6: optimizing a human-computer interaction interface;
s7: optimizing the utilization rate of production line resources;
the seven steps can sequentially optimize the material transportation, the process flow, the working procedure, the robot integration and control, the data analysis and visual operation, the man-machine interaction interface optimization and the resource utilization rate optimization of the automatic assembly production line, so that the comprehensive optimization treatment of the automatic assembly production line can be realized, and the designed working procedure optimization can effectively improve the flexibility of the working procedure adjustment.
As a preferred embodiment of the present invention, S1: optimizing operation treatment of material transportation of production line, selecting proper conveyor, such as chain conveyor, roller conveyor and belt conveyor, adopting packaging material: packaging may be performed using suitable packaging materials, such as foam boxes, bubble films, cartons, prior to placing the assembled components on a conveyor; and (3) adding a supporting part: for the flexible assembly, the support and the fixer component can be arranged on the transmission belt to adjust the transmission speed: for the conveyor with higher transmission speed, the speed of the conveyor can be properly adjusted so as to reduce friction and abrasion of the assembly components caused by inertia, and meanwhile, the assembly components can be prevented from swinging and jumping in the transmission process, and the stability of the assembly components is ensured.
As a preferred embodiment of the present invention, S2: the optimization processing of the process flow of the production line is realized by adding automatic testing equipment and inspection equipment into the process flow, adopting an intelligent algorithm to carry out product assembly and adjustment processing, and in addition, the data are required to be collected by matching with the data, so that the data are collected: first, the current production line needs to be investigated and analyzed, various data about the production line, such as productivity, quality, cost, etc., are collected to find potential problems, and the data are analyzed: analyzing the collected data by adopting a statistical and data analysis technology, finding out bottlenecks and problems existing in a production line, determining root causes of the bottlenecks and the problems, and setting targets: reasonable production linear energy indexes and targets are formulated, such as improving production efficiency, reducing product reject rate or reducing downtime.
As a preferred embodiment of the present invention, S3: the production line process optimization is carried out, a programmable controller and industrial robot intelligent equipment are introduced, a multifunctional modularized machine is configured, the multifunctional modularized machine can be quickly converted and adjusted to meet different product specifications or production requirements, an advanced planning and scheduling system is implemented so as to respond to market requirements in time, the maximum utilization rate of the production line is kept, meanwhile, the equipment can be monitored in real time and predictively maintained by using the Internet of things technology so as to ensure the normal operation of the equipment, an efficient quality control system is established, and the system comprises an automatic detection system, a data analysis system and a standardized operation flow, so that staff training is enhanced, and the staff has skilled operation skills and the capability of solving problems, thereby better adapting to the changed production requirements.
As a preferred embodiment of the present invention, S4: the production line robots are integrated and controlled to optimize operation, when the production line robots are selected, the production line robots are selected according to production line requirements and technological processes, meanwhile, the programmability, the motion precision, the load capacity and the speed technical indexes of the robots are considered, so that the robots can meet the requirements of the production line, and a robot control system is optimized: the advanced sensor, camera and computer vision technology are used, more intelligent and automatic robot control can be realized, in addition, an open control system can be adopted, so that the robot can be quickly connected to different devices and systems, and the man-machine interaction technology is introduced: the man-machine interaction technology is introduced into the robot integration, so that the flexibility and the production efficiency of the robot can be greatly improved, for example, an operator can interact with the robot more easily by using voice recognition, gesture control and touch screen interface technology, the task, the speed and the position parameters of the robot are quickly adjusted, and the networked management is implemented: through the technology of the industrial Internet of things, various devices and systems in the production line can be connected with each other, the functions of data sharing, remote monitoring, intelligent scheduling and the like are realized, meanwhile, cloud computing and big data analysis technology can be adopted to deeply analyze production data, and the efficiency and quality of the production line are improved.
As a preferred embodiment of the present invention, S5: data analysis and visualization operations, by collecting and analyzing data during the production process, to better understand and improve the performance of the production line, while the use of visualization tools helps management layers and operators to better monitor and coordinate the running process of the production line.
As a preferred embodiment of the present invention, S6: human-computer interaction interface optimization, staff regularly saves and cleans the system of the human-computer interaction interface, and enough space is reserved for normal operation of the human-computer interaction interface, so that the condition of slow reaction caused by excessive data is avoided.
As a preferred embodiment of the present invention, S7: the resource utilization rate of the production line is optimized, and in the process of processing and assembling the product, the waste material generated in the processing process can be recovered, and the scraps are separated by special separation equipment, so that the waste material meeting the recovery standard is reused.
Compared with the prior art, the invention has the following beneficial effects:
according to the invention, material transportation optimization, process flow optimization, process optimization, robot integration and control optimization, data analysis and visual operation, man-machine interaction interface optimization and resource utilization rate optimization are sequentially carried out on the automatic assembly production line, so that comprehensive optimization treatment on the automatic assembly production line can be achieved, the assembly effect of the automatic assembly production line is improved, the designed process optimization can effectively improve the flexibility of process adjustment, and the modularized process equipment can be quickly transferred under the condition of the adjustment of the production line, thereby improving the adjustment efficiency of the automatic assembly production line.
Detailed Description
Example 1:
the multi-objective optimization method of the automatic assembly production line considering the process rigidity constraint comprises the following specific operation steps:
s1: optimizing operation treatment for transporting production line materials;
s2: optimizing the process flow of the production line;
s3: optimizing the working procedures of a production line;
s4: the robot integration and control optimization operation of the production line;
s5: data analysis and visualization operations;
s6: optimizing a human-computer interaction interface;
s7: optimizing the utilization rate of production line resources;
the seven steps can sequentially optimize the material transportation, the process flow, the working procedure, the robot integration and control, the data analysis and visual operation, the man-machine interaction interface optimization and the resource utilization rate optimization of the automatic assembly production line, so that the comprehensive optimization treatment of the automatic assembly production line can be realized, and the designed working procedure optimization can effectively improve the flexibility of the working procedure adjustment.
As a preferred embodiment of the present invention, S1: optimizing operation treatment of material transportation of production line, selecting proper conveyor, such as chain conveyor, roller conveyor and belt conveyor, adopting packaging material: packaging may be performed using suitable packaging materials, such as foam boxes, bubble films, cartons, prior to placing the assembled components on a conveyor; and (3) adding a supporting part: for the flexible assembly, the support and the fixer component can be arranged on the transmission belt to adjust the transmission speed: for the conveyor with higher transmission speed, the speed of the conveyor can be properly adjusted so as to reduce friction and abrasion of the assembly components caused by inertia, and meanwhile, the assembly components can be prevented from swinging and jumping in the transmission process, and the stability of the assembly components is ensured.
As a preferred embodiment of the present invention, S2: the optimization processing of the process flow of the production line is realized by adding automatic testing equipment and inspection equipment into the process flow, adopting an intelligent algorithm to carry out product assembly and adjustment processing, and in addition, the data are required to be collected by matching with the data, so that the data are collected: first, the current production line needs to be investigated and analyzed, various data about the production line, such as productivity, quality, cost, etc., are collected to find potential problems, and the data are analyzed: analyzing the collected data by adopting a statistical and data analysis technology, finding out bottlenecks and problems existing in a production line, determining root causes of the bottlenecks and the problems, and setting targets: reasonable production linear energy indexes and targets are formulated, such as improving production efficiency, reducing product reject rate or reducing downtime.
As a preferred embodiment of the present invention, S3: the production line process optimization is carried out, a programmable controller and industrial robot intelligent equipment are introduced, a multifunctional modularized machine is configured, the multifunctional modularized machine can be quickly converted and adjusted to meet different product specifications or production requirements, an advanced planning and scheduling system is implemented so as to respond to market requirements in time, the maximum utilization rate of the production line is kept, meanwhile, the equipment can be monitored in real time and predictively maintained by using the Internet of things technology so as to ensure the normal operation of the equipment, an efficient quality control system is established, and the system comprises an automatic detection system, a data analysis system and a standardized operation flow, so that staff training is enhanced, and the staff has skilled operation skills and the capability of solving problems, thereby better adapting to the changed production requirements.
As a preferred embodiment of the present invention, S4: the production line robots are integrated and controlled to optimize operation, when the production line robots are selected, the production line robots are selected according to production line requirements and technological processes, meanwhile, the programmability, the motion precision, the load capacity and the speed technical indexes of the robots are considered, so that the robots can meet the requirements of the production line, and a robot control system is optimized: the advanced sensor, camera and computer vision technology are used, more intelligent and automatic robot control can be realized, in addition, an open control system can be adopted, so that the robot can be quickly connected to different devices and systems, and the man-machine interaction technology is introduced: the man-machine interaction technology is introduced into the robot integration, so that the flexibility and the production efficiency of the robot can be greatly improved, for example, an operator can interact with the robot more easily by using voice recognition, gesture control and touch screen interface technology, the task, the speed and the position parameters of the robot are quickly adjusted, and the networked management is implemented: through the technology of the industrial Internet of things, various devices and systems in the production line can be connected with each other, the functions of data sharing, remote monitoring, intelligent scheduling and the like are realized, meanwhile, cloud computing and big data analysis technology can be adopted to deeply analyze production data, and the efficiency and quality of the production line are improved.
As a preferred embodiment of the present invention, S5: data analysis and visualization operations, by collecting and analyzing data during the production process, to better understand and improve the performance of the production line, while the use of visualization tools helps management layers and operators to better monitor and coordinate the running process of the production line.
As a preferred embodiment of the present invention, S6: human-computer interaction interface optimization, staff regularly saves and cleans the system of the human-computer interaction interface, and enough space is reserved for normal operation of the human-computer interaction interface, so that the condition of slow reaction caused by excessive data is avoided.
As a preferred embodiment of the present invention, S7: the resource utilization rate of the production line is optimized, and in the process of processing and assembling the product, the waste material generated in the processing process can be recovered, and the scraps are separated by special separation equipment, so that the waste material meeting the recovery standard is reused.
In summary, the invention sequentially performs material transportation optimization, process flow optimization, process optimization, robot integration and control optimization, data analysis and visual operation, human-computer interaction interface optimization and resource utilization optimization on the automatic assembly production line, so that comprehensive optimization treatment on the automatic assembly production line can be achieved, the assembly effect of the automatic assembly production line is improved, the designed process optimization can effectively improve the flexibility of process adjustment, and the modularized process equipment can be quickly transferred under the condition of the adjustment of the production line, thereby improving the adjustment efficiency of the automatic assembly production line.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. An automatic assembly production line multi-objective optimization method taking process rigidity constraint into consideration is characterized in that: the specific operation steps are as follows:
s1: optimizing operation treatment for transporting production line materials;
s2: optimizing the process flow of the production line;
s3: optimizing the working procedures of a production line;
s4: the robot integration and control optimization operation of the production line;
s5: data analysis and visualization operations;
s6: optimizing a human-computer interaction interface;
s7: optimizing the utilization rate of production line resources;
the seven steps can sequentially optimize the material transportation, the process flow, the working procedure, the robot integration and control, the data analysis and visual operation, the man-machine interaction interface optimization and the resource utilization rate optimization of the automatic assembly production line, so that the comprehensive optimization treatment of the automatic assembly production line can be realized, and the designed working procedure optimization can effectively improve the flexibility of the working procedure adjustment.
2. The automated assembly line multi-objective optimization method taking into account process rigidity constraints of claim 1, wherein: s1: optimizing operation treatment of material transportation of production line, selecting proper conveyor, such as chain conveyor, roller conveyor and belt conveyor, adopting packaging material: packaging may be performed using suitable packaging materials, such as foam boxes, bubble films, cartons, prior to placing the assembled components on a conveyor; and (3) adding a supporting part: for the flexible assembly, the support and the fixer component can be arranged on the transmission belt to adjust the transmission speed: for the conveyor with higher transmission speed, the speed of the conveyor can be properly adjusted so as to reduce friction and abrasion of the assembly components caused by inertia, and meanwhile, the assembly components can be prevented from swinging and jumping in the transmission process, and the stability of the assembly components is ensured.
3. The automated assembly line multi-objective optimization method taking into account process rigidity constraints of claim 1, wherein: s2: the optimization processing of the process flow of the production line is realized by adding automatic testing equipment and inspection equipment into the process flow, adopting an intelligent algorithm to carry out product assembly and adjustment processing, and in addition, the data are required to be collected by matching with the data, so that the data are collected: first, the current production line needs to be investigated and analyzed, various data about the production line, such as productivity, quality, cost, etc., are collected to find potential problems, and the data are analyzed: analyzing the collected data by adopting a statistical and data analysis technology, finding out bottlenecks and problems existing in a production line, determining root causes of the bottlenecks and the problems, and setting targets: reasonable production linear energy indexes and targets are formulated, such as improving production efficiency, reducing product reject rate or reducing downtime.
4. The automated assembly line multi-objective optimization method taking into account process rigidity constraints of claim 1, wherein: s3: the production line process optimization is carried out, a programmable controller and industrial robot intelligent equipment are introduced, a multifunctional modularized machine is configured, the multifunctional modularized machine can be quickly converted and adjusted to meet different product specifications or production requirements, an advanced planning and scheduling system is implemented so as to respond to market requirements in time, the maximum utilization rate of the production line is kept, meanwhile, the equipment can be monitored in real time and predictively maintained by using the Internet of things technology so as to ensure the normal operation of the equipment, an efficient quality control system is established, and the system comprises an automatic detection system, a data analysis system and a standardized operation flow, so that staff training is enhanced, and the staff has skilled operation skills and the capability of solving problems, thereby better adapting to the changed production requirements.
5. The automated assembly line multi-objective optimization method taking into account process rigidity constraints of claim 1, wherein: s4: the production line robots are integrated and controlled to optimize operation, when the production line robots are selected, the production line robots are selected according to production line requirements and technological processes, meanwhile, the programmability, the motion precision, the load capacity and the speed technical indexes of the robots are considered, so that the robots can meet the requirements of the production line, and a robot control system is optimized: the advanced sensor, camera and computer vision technology are used, more intelligent and automatic robot control can be realized, in addition, an open control system can be adopted, so that the robot can be quickly connected to different devices and systems, and the man-machine interaction technology is introduced: the man-machine interaction technology is introduced into the robot integration, so that the flexibility and the production efficiency of the robot can be greatly improved, for example, an operator can interact with the robot more easily by using voice recognition, gesture control and touch screen interface technology, the task, the speed and the position parameters of the robot are quickly adjusted, and the networked management is implemented: through the technology of the industrial Internet of things, various devices and systems in the production line can be connected with each other, the functions of data sharing, remote monitoring, intelligent scheduling and the like are realized, meanwhile, cloud computing and big data analysis technology can be adopted to deeply analyze production data, and the efficiency and quality of the production line are improved.
6. The automated assembly line multi-objective optimization method taking into account process rigidity constraints of claim 1, wherein: s5: data analysis and visualization operations, by collecting and analyzing data during the production process, to better understand and improve the performance of the production line, while the use of visualization tools helps management layers and operators to better monitor and coordinate the running process of the production line.
7. The automated assembly line multi-objective optimization method taking into account process rigidity constraints of claim 1, wherein: s6: human-computer interaction interface optimization, staff regularly saves and cleans the system of the human-computer interaction interface, and enough space is reserved for normal operation of the human-computer interaction interface, so that the condition of slow reaction caused by excessive data is avoided.
8. The automated assembly line multi-objective optimization method taking into account process rigidity constraints of claim 1, wherein: s7: the resource utilization rate of the production line is optimized, and in the process of processing and assembling the product, the waste material generated in the processing process can be recovered, and the scraps are separated by special separation equipment, so that the waste material meeting the recovery standard is reused.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117314262A (en) * | 2023-11-27 | 2023-12-29 | 欧派家居集团股份有限公司 | Method and system for detecting multi-procedure automatic integrated processing production line of wooden door |
| CN117314262B (en) * | 2023-11-27 | 2024-03-08 | 欧派家居集团股份有限公司 | Method and system for detecting multi-procedure automatic integrated processing production line of wooden door |
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