CN110705814A - MES system based on intelligent manufacturing management - Google Patents
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Abstract
The invention relates to an MES system based on intelligent manufacturing management, which comprises a management layer, an execution layer and an industrial control layer, wherein the management layer comprises a plan layer information system, a centralized control center for integrating information, a KPI index for organizing internal management, a mobile APP for information watching, recording and managing, a material analysis platform, a man-machine analysis platform, a yield analysis platform and a tracing platform for retrieving a data source output end, the execution layer comprises a plan schedule, a production scheduling element, a plan compilation, a plan decomposition, a rule verification, a plan adjustment and a plan release are respectively arranged in the plan schedule, the plan schedule output end is respectively provided with material management, production execution, quality control, equipment management and resource management, and the material management is respectively and correspondingly provided with stock level modeling for building and storing according to the size of the production. Has the advantages that: the invention has advanced visual monitoring of the components, reflects the real-time information of the warehouse and the factory in time, realizes intelligent control by accessing the field equipment to the Internet, and is simple and efficient.
Description
Technical Field
The invention relates to the technical field of factory management systems, in particular to an MES system based on intelligent manufacturing management.
Background
The MES is a manufacturing process execution system of a manufacturing enterprise, and is a set of production informatization management system facing a workshop execution layer of the manufacturing enterprise. The MES can provide management modules for enterprises, such as manufacturing data management, planning and scheduling management, production scheduling management, inventory management, quality management, human resource management, work center/equipment management, tool and tool management, purchasing management, cost management, project bulletin board management, production process control, bottom data integration analysis, upper data integration decomposition and the like, and creates a solid, reliable, comprehensive and feasible manufacturing cooperation management platform for the enterprises.
For modern manufacturing factories, a management mode for realizing intellectualization has become a mainstream, the existing management system generally cannot better meet the remodeling of the flow of warehouse operation, and can well and completely interact with operating personnel, the problem source cannot be directly found out when the problem occurs in the link, the existing electronic warehouse cannot effectively and accurately manage, the integration and classification management of materials are not effective enough in the electronic manufacturing link, the production cost is improved, and the labor time of workers is prolonged.
Disclosure of Invention
The invention aims to provide an MES system based on intelligent manufacturing management, which has the advantages of fine management, overall visualization of inventory information, high degree of automation and intelligence, improvement of operation efficiency, reduction of delivery time, reduction of cost and improvement of quality, and is realized by the following scheme.
In order to achieve the above purpose, the invention adopts the technical scheme that: an MES system based on intelligent manufacturing management, which comprises a management layer, an execution layer and an industrial control layer, wherein the output end of the management layer is connected with the industrial control layer through the execution layer,
the management layer comprises a planning layer information system, a centralized control center for integrating information, a KPI for organizing internal management, a mobile APP for watching, recording and managing information, a material analysis platform, a man-machine analysis platform, a yield analysis platform and a data source retrieval output end;
the execution layer comprises a plan schedule, production scheduling elements, plan compiling, plan decomposing, rule verifying, plan adjusting and plan releasing are respectively arranged in the plan schedule, and a material management, production execution, quality control, equipment management and resource management are respectively arranged at the output end of the plan schedule;
the material management is respectively and correspondingly provided with a storage position modeling, a material storage, a material delivery, a storage management and a material early warning that the material is less than a standard value, wherein the storage position modeling, the material storage, the material delivery and the storage management are carried out at a storage position according to the production quantity;
the production execution is respectively and correspondingly provided with a workshop production task, prenatal preparation, production progress tracking, in-process product tracking and output reporting;
the quality control is correspondingly provided with quality SPC of inspection standard definition, quality inspection, defect control, maintenance treatment and process management;
the equipment management is correspondingly provided with an equipment ledger for managing equipment funds, maintenance and repair, spare parts for maintenance, equipment monitoring and OEE analysis for measuring the ratio of the production capacity to the theoretical capacity;
the resource management is correspondingly provided with auxiliary material management, metal product management, material gun management, personnel qualification and working hour standards set by different personnel;
the execution layer further comprises a workshop site connected with the planning and scheduling, and the workshop site comprises data acquisition and operation guidance. Exception management, collision avoidance and collision avoidance, stop control, electronic billboard, monitoring and early warning, factory modeling, process route, BOM material list, employee information, bar code planning and system parameters;
the industrial control layer comprises an equipment interconnection platform or a patch interface platform, automation equipment, an industrial robot, an AGV device and a testing instrument.
Further, the execution layer includes through the three-dimensional goods shelves of intelligence of AGV device pan feeding, the three-dimensional goods shelves of intelligence have the pile robot through removing the rail connection, the pile robot is connected with automatic mark device through packaging system, and the work piece after beating the mark is connected the material mistake proofing system who is equipped with the watch-dog through detecting system, the material mistake proofing system through automatic reading gather the end install with the intelligent storage area that the AGV device is connected.
Furthermore, a standardized communication interface connected with the centralized control center is arranged between the automatic code reading acquisition end and the intelligent storage area.
Furthermore, man-machine interconnection, machine-machine interconnection and machine-material interconnection are respectively arranged in the automatic packaging system.
Further, a cloud computing platform connected with the mobile APP and the trunking center is further included in the management layer.
Furthermore, the workshop site also comprises a scanning end connected with the bar code plan.
The invention has the technical effects that: the management layer firstly analyzes and compares the yield information, the quality information and the conditions of a human-computer in the original factory, then carries out centralized management through a centralized control center, and can share data through a mobile APP or a cloud computing platform, the data of the management layer can be directly led into an execution layer for implementation, the raw materials are firstly subjected to stock level modeling and warehousing from material management, the raw materials are delivered through an intelligent vehicle, the information of inventory management is transmitted to a planning schedule, material early warning is carried out on the materials less than the standard, during production operation, certain prenatal preparation is carried out according to the production task of a workshop, then the production progress and the tracking of products are carried out, the progress conditions of the processing process and the processed workpieces can be known at any time, then the data is subjected to output reporting, the quality control firstly customizes the detection standard, and carries out the defect control of a quality detection box, and the quality SPC of maintenance processing and process management is implemented, specifically, bar code planning, operation guidance and process routes are implemented on the workshop site for each processed product, when the quality detects that a problem occurs, the problem occurring in the relevant process can be found out and investigation and analysis are implemented, so that the MES system greatly improves the service performance, has high intelligent degree, advanced visual monitoring of components, timely reflects real-time information of warehouses and factories, and the site equipment is accessed to the Internet to implement intelligent control, so that the method is simple and efficient.
Drawings
FIG. 1 is a schematic diagram of an MES system based on intelligent manufacturing management according to the present invention.
Detailed Description
Referring to fig. 1, an intelligent manufacturing management based MES system includes a management layer, an execution layer and an industrial control layer, wherein an output end of the management layer is connected to the industrial control layer through the execution layer,
the management layer comprises a planning layer information system, a centralized control center for integrating information, a KPI for organizing internal management, a mobile APP for watching, recording and managing information, a material analysis platform, a man-machine analysis platform, a yield analysis platform and a data source retrieval output end;
the execution layer comprises a plan schedule, production scheduling elements, plan compiling, plan decomposing, rule verifying, plan adjusting and plan releasing are respectively arranged in the plan schedule, and a material management, production execution, quality control, equipment management and resource management are respectively arranged at the output end of the plan schedule;
the material management is respectively and correspondingly provided with a storage position modeling, a material storage, a material delivery, a storage management and a material early warning that the material is less than a standard value, wherein the storage position modeling, the material storage, the material delivery and the storage management are carried out at a storage position according to the production quantity;
the production execution is respectively and correspondingly provided with a workshop production task, prenatal preparation, production progress tracking, in-process product tracking and output reporting;
the quality control is correspondingly provided with quality SPC of inspection standard definition, quality inspection, defect control, maintenance treatment and process management;
the equipment management is correspondingly provided with an equipment ledger for managing equipment funds, maintenance and repair, spare parts for maintenance, equipment monitoring and OEE analysis for measuring the ratio of the production capacity to the theoretical capacity;
the resource management is correspondingly provided with auxiliary material management, metal product management, material gun management, personnel qualification and working hour standards set by different personnel;
the execution layer further comprises a workshop site connected with the planning and scheduling, and the workshop site comprises data acquisition and operation guidance. Exception management, collision avoidance and collision avoidance, stop control, electronic billboard, monitoring and early warning, factory modeling, process route, BOM material list, employee information, bar code planning and system parameters;
the industrial control layer comprises an equipment interconnection platform or a patch interface platform, automation equipment, an industrial robot, an AGV device and a testing instrument.
The specific implementation scheme of the patent is that a management layer realizes integration management of data, an execution layer is responsible for monitoring each module unit, tracking work progress and adjusting plan arrangement, an industrial control layer realizes connection of related internet of automation equipment, robots, test instruments and the like, in a workshop site, materials are conveyed to an intelligent three-dimensional goods shelf through an AGV trolley, the materials on the intelligent three-dimensional goods shelf are automatically conveyed to a stacking robot in the workshop through moving a Guidong, then automatic packaging and code printing are automatically realized, a detection system feeds back data to the management layer through bar code processing according to the workpieces with problems, so that the workpieces with problems can be directly found out, meanwhile, a material mistake prevention system is arranged on the detection system, the material mistake prevention system can carry out classification processing and centralized processing on the packaged workpieces, so that mixing of different types of articles is avoided, thereby finally realize collecting the work piece, the implementation layer includes through the intelligent three-dimensional goods shelves of AGV device pan feeding, the three-dimensional goods shelves of intelligence have the pile robot through moving rail connection, the pile robot is connected with automatic mark device through packaging system, and the work piece after beating the mark is connected the material mistake proofing system who is equipped with the watch-dog through detecting system, the material mistake proofing system through automatic reading gather the end install with the intelligent storage area that the AGV device is connected.
Specifically, man-machine interconnection, machine-machine interconnection and machine-material interconnection are respectively arranged in the automatic packaging system, during the processing of materials, material machine interaction, interaction between machines and interaction operation between the machines are required, the interaction controllability between the machines of the former two is strong, errors are not easy to occur, in the man-machine interaction, due to large influence of human factors, the influence degree of product quality is large, so that the production progress and the tracking of products in the aspect of manual operation can be carried out, the progress tracking of the materials in the whole process from entering to processing to conveying of finished products is effectively ensured, then the information is transmitted to a cloud computing platform in a management layer, the tracking of real-time information of workpieces is ensured, if a problem occurs in the link or operation, early warning can be immediately realized, the influence on subsequent processing is avoided, and meanwhile, different classification management and tracking are carried out on the articles in the bar code field in a workshop, the method has the advantages that the specific position of the workpiece can be clearly known, accurate position management can be realized, the method has positive significance, the metal product management, the material gun management and the auxiliary material management in the resource management can be used for placing materials with different hardness and different specifications, so that the materials can be placed more carefully, the requirements of different prevention frames for the materials are different, the management safety is better improved, and the method has the substantial characteristic.
Preferably, the automatic code reading acquisition end and the intelligent storage area are provided with a standardized communication interface connected with the centralized control center, the management layer further comprises a cloud computing platform connected with the mobile APP and the centralized control center, and the workshop site further comprises a scanning end connected with the bar code planning.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are merely illustrative of the principles of the invention, but that various changes and modifications may be made without departing from the spirit and scope of the invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (6)
1. An MES system based on intelligent manufacturing management, which comprises a management layer, an execution layer and an industrial control layer, wherein the output end of the management layer is connected with the industrial control layer through the execution layer,
the management layer comprises a planning layer information system, a centralized control center for integrating information, a KPI for organizing internal management, a mobile APP for watching, recording and managing information, a material analysis platform, a man-machine analysis platform, a yield analysis platform and a data source retrieval output end;
the execution layer comprises a plan schedule, production scheduling elements, plan compiling, plan decomposing, rule verifying, plan adjusting and plan releasing are respectively arranged in the plan schedule, and a material management, production execution, quality control, equipment management and resource management are respectively arranged at the output end of the plan schedule;
the material management is respectively and correspondingly provided with a storage position modeling, a material storage, a material delivery, a storage management and a material early warning that the material is less than a standard value, wherein the storage position modeling, the material storage, the material delivery and the storage management are carried out at a storage position according to the production quantity;
the production execution is respectively and correspondingly provided with a workshop production task, prenatal preparation, production progress tracking, in-process product tracking and output reporting;
the quality control is correspondingly provided with quality SPC of inspection standard definition, quality inspection, defect control, maintenance treatment and process management;
the equipment management is correspondingly provided with an equipment ledger for managing equipment funds, maintenance and repair, spare parts for maintenance, equipment monitoring and OEE analysis for measuring the ratio of the production capacity to the theoretical capacity;
the resource management is correspondingly provided with auxiliary material management, metal product management, material gun management, personnel qualification and working hour standards set by different personnel;
the execution layer further comprises a workshop site connected with the planning and scheduling, and the workshop site comprises data acquisition and operation guidance. Exception management, collision avoidance and collision avoidance, stop control, electronic billboard, monitoring and early warning, factory modeling, process route, BOM material list, employee information, bar code planning and system parameters;
the industrial control layer comprises an equipment interconnection platform or a patch interface platform, automation equipment, an industrial robot, an AGV device and a testing instrument.
2. The MES system based on intelligent manufacturing management of claim 1, wherein the execution layer comprises an intelligent three-dimensional shelf for feeding the AGV device, the intelligent three-dimensional shelf is connected with a stacking robot through a moving track, the stacking robot is connected with an automatic marking device through a packaging system, a marked workpiece is connected with a material mistake proofing system provided with a monitor through a detection system, and the material mistake proofing system is provided with an intelligent storage area connected with the AGV device through an automatic code reading acquisition end.
3. An MES system based on intelligent manufacturing management as claimed in claim 2, wherein a standardized communication interface connected with the centralized control center is provided between the automatic code reading acquisition end and the intelligent storage area.
4. An MES system based on intelligent manufacturing management according to claim 2, wherein the automatic packaging system is internally provided with a man-machine interconnection, a machine-machine interconnection and a machine-material interconnection.
5. The intelligent manufacturing management based MES system of claim 1, wherein the management layer further comprises a cloud computing platform connected to the mobile APP and the hub.
6. An intelligent manufacturing management based MES system according to claim 1, wherein the shop floor further comprises a scanning end coupled to the barcode plan.
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| CN111260332A (en) * | 2020-02-10 | 2020-06-09 | 山东浪潮通软信息科技有限公司 | Implementation method and system suitable for MES application of workshop in motor industry |
| CN111319730A (en) * | 2020-02-28 | 2020-06-23 | 徐州尚航船舶配件有限公司 | Production line for ship support fittings |
| CN111367508A (en) * | 2020-03-13 | 2020-07-03 | 西安博兰科技发展有限公司 | AI identification equipment tracking system based on laser marking machine |
| CN111580410A (en) * | 2020-04-22 | 2020-08-25 | 东风柳州汽车有限公司 | Logistics analysis method and device with timely intervention |
| TWI723861B (en) * | 2020-04-30 | 2021-04-01 | 致伸科技股份有限公司 | Externally-connected shop floor control system |
| CN111736597A (en) * | 2020-05-29 | 2020-10-02 | 山东魔方新能源科技有限公司 | Interconnection control method based on MES and AGV production line |
| CN111932126B (en) * | 2020-08-11 | 2021-10-15 | 上海才匠智能科技有限公司 | Intelligent manufacturing production management method based on big data |
| CN111932126A (en) * | 2020-08-11 | 2020-11-13 | 广元量知汇科技有限公司 | Intelligent manufacturing production management method based on big data |
| CN112099445A (en) * | 2020-08-14 | 2020-12-18 | 新丰电器(深圳)有限公司 | MES-based field data acquisition and real-time production state monitoring system |
| CN112288257A (en) * | 2020-10-21 | 2021-01-29 | 中船第九设计研究院工程有限公司 | Operation monitoring and collecting system for intelligent manufacturing of ship industry |
| CN112258053A (en) * | 2020-10-26 | 2021-01-22 | 辰欣药业股份有限公司 | Method for producing formula food for special medical application by using manufacturing execution system |
| CN112486128A (en) * | 2020-12-07 | 2021-03-12 | 广东琅菱智能装备有限公司 | Powder raw material manufacturing control method and system based on MES system |
| CN112486128B (en) * | 2020-12-07 | 2021-12-03 | 东莞市琅菱机械有限公司 | Powder raw material manufacturing control method and system based on MES system |
| CN112668740A (en) * | 2021-01-20 | 2021-04-16 | 大连海事大学 | Management platform of wisdom shipyard |
| CN112668740B (en) * | 2021-01-20 | 2023-12-26 | 大连海事大学 | Management platform of wisdom shipyard |
| TWI771971B (en) * | 2021-03-31 | 2022-07-21 | 宇辰系統科技股份有限公司 | Plant management system |
| CN114819887A (en) * | 2022-04-09 | 2022-07-29 | 广州达宝文汽车设备集团有限公司 | Unmanned intelligent manufacturing system |
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