CN112418540A - Intelligent MES real-time data analysis system - Google Patents
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Abstract
The invention relates to the field of intelligent production management, in particular to an intelligent MES real-time data analysis system. The intelligent MES real-time data analysis system mainly comprises: the system comprises an ERP plan layer, an intelligent manufacturing execution system layer, an intelligent mutual inductance interconnection layer, a production plan arrangement management unit, a quality management unit and a material management unit; the ERP planning layer is positioned at the highest layer and is an enterprise resource planning management layer; the intelligent manufacturing execution system layer is positioned in the middle layer and comprises a business application layer, a data analysis layer and a production data center layer; the intelligent mutual inductance interconnection layer is positioned at the bottommost layer and comprises an industrial control layer, a communication layer and an equipment execution layer; the production plan arrangement management mainly comprises two parts of production plan assignment and plan completion report forms; and the quality management unit detects the raw materials or the products according to the quality management requirements. The invention realizes the intelligent management of the factory.
Description
Technical Field
The invention relates to the field of intelligent production management, in particular to an intelligent MES real-time data analysis system.
Background
At present, with the development and growth of manufacturing enterprises, the problems of the manufacturing enterprises in production management are more and more prominent, and a large amount of manual statistics and arrangement are needed for company workshop managers to obtain various data in the production process. Data required by normal production of a workshop, including process data, equipment state data, field working condition data and production instruction data, cannot be checked in real time, so that delay of production management is caused, cost is increased, and product quality is reduced; information and data cannot be transmitted in two directions in time according to needs and the development of the production process among all levels of management layers, and communication has more problems.
An intelligent factory can be divided into two parts, a real entity and a virtual model. The real entity is an entity factory on a physical level and comprises production and manufacturing resources such as workshops, production lines and intelligent equipment. The manufacturing execution system MES is an indispensable part of an intelligent factory and is a key for realizing information communication and fusion between a virtual factory and an entity factory, thereby playing the role of an intermediate 'bridge'.
Disclosure of Invention
Accordingly, the present invention has been made in view of the above problems. The invention provides an intelligent MES real-time data analysis system, which achieves the purpose of intelligent management of factory production. The invention realizes the aim through the following technical scheme:
an intelligent MES real-time data analysis system mainly comprises: the system comprises an ERP plan layer, an intelligent manufacturing execution system layer, an intelligent mutual inductance interconnection layer, a production plan arrangement unit, a quality management unit and a material management unit;
the ERP planning layer is positioned at the highest layer and is an enterprise resource planning management layer; the system participates in managing the human resource management of the enterprise, manages and plans all manufacturing resources of the enterprise, makes a production plan according to the user order and sends the production plan to a factory MES (manufacturing execution system);
the intelligent manufacturing execution system layer is positioned in the middle layer and comprises a business application layer, a data analysis layer and a production data center layer; the intelligent manufacturing execution system layer stores the manufacturing process resources of the intelligent mutual inductance interconnection layer in a real-time database and a relational database through multi-source data acquisition and integration;
the intelligent mutual inductance interconnection layer is positioned at the bottommost layer and comprises an industrial control layer, a communication layer and an equipment execution layer;
the production plan arrangement mainly comprises two parts of production plan assignment and plan completion report forms; the production plan issuing comprises four modules of schedule importing, schedule modifying, schedule comparing and order management; the plan completion report comprises two modules of real-time production progress comparison and workshop task query;
the quality management unit detects the raw materials or products according to the quality management requirements, records the spot check result and determines the rework range; automatically producing the product sampling inspection batch and the sampling inspection quantity of the batch according to the product quality inspection standard and the product batch information; and (4) scanning/keying in the product bar code by a factory-resident engineer according to the sampling inspection batch information, and automatically taking out work order information by a system so as to provide a basis for the judgment of the engineer.
The invention has the following beneficial effects:
the invention optimally manages the whole production process of the product from order placement to product completion through the production place of the information, timely makes corresponding reaction and report for real-time events occurring in a factory, and uses the current accurate data to correspondingly guide and process. The intelligent MES real-time data analysis system compensates the fault between the management layer and the control layer, grasps the processing condition of the workshop in real time, and enables colleagues to feed back information to the management layer in time; and a plurality of sets of systems are integrated, so that data unification and data sharing are realized.
Drawings
FIG. 1 is a schematic diagram of the structure of the intelligent MES real-time data analysis system of the present invention.
FIG. 2 is a network topology diagram of a plant based on an intelligent MES real-time data analysis system of the present invention.
FIG. 3 is a block diagram of a production schedule arrangement unit of the present invention.
Fig. 4 is a block diagram of a material management unit of the present invention.
Detailed Description
Preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings, so that those embodiments can be easily implemented by those having ordinary skill in the art to which the present invention pertains. However, the present invention may be embodied in many different forms and is not limited to the embodiments described below. In addition, in order to more clearly describe the present invention, components not connected to the present invention will be omitted from the drawings.
An intelligent MES real-time data analysis system mainly comprises: the system comprises an ERP plan layer, an intelligent manufacturing execution system layer, an intelligent mutual inductance interconnection layer, a production plan arrangement unit, a quality management unit and a material management unit;
as shown in fig. 1, the ERP planning layer is located at the highest level and is an enterprise resource planning management layer; the system participates in managing the human resource management of the enterprise, manages and plans all manufacturing resources of the enterprise, makes a production plan according to the user order and sends the production plan to a factory MES (manufacturing execution system);
the intelligent manufacturing execution system layer is positioned in the middle layer and comprises a business application layer, a data analysis layer and a production data center layer; the intelligent manufacturing execution system layer stores the manufacturing process resources of the intelligent mutual inductance interconnection layer in a real-time database and a relational database through multi-source data acquisition and integration;
the intelligent mutual inductance interconnection layer is positioned at the bottommost layer and comprises an industrial control layer, a communication layer and an equipment execution layer;
as shown in fig. 4, the production plan is arranged to mainly include two parts, namely a production plan assignment part and a plan completion report part; the production plan issuing comprises four modules of schedule importing, schedule modifying, schedule comparing and order management; the plan completion report comprises two modules of real-time production progress comparison and workshop task query;
the quality management unit detects the raw materials or products according to the quality management requirements, records the spot check result and determines the rework range; automatically producing a lot of products for sampling inspection and sampling inspection quantity according to the product quality inspection standard and the batch information of the products (including raw materials and finished products); the factory-resident engineer scans/types the product bar code according to the sampling inspection batch information, and systematically and automatically takes out work order information (planned amount, offline amount, order number, key piece, BOM and maintenance record) so as to provide basis for the judgment of the engineer; scanning a bar code of a defective complete machine according to market feedback or quality spot check feedback information, automatically taking out production flow information (such as production factory, line, shift, date, order/work order, maintenance record, online and offline time and the like) of the product by a system, and confirming a defective reason/component by a quality department; according to bad reasons/components, confirming other complete machine bar codes, orders/work orders and the like of the same orders and components, and determining the influence range; the quality department personnel record the bad information according to the system and can carry out statistical analysis on the bad information according to the time period; the information such as the component model, batch, manufacturer, production date, software version, screen parameter and the like can be checked according to the bar code information of the bad components;
the material management is the basis of the whole MES system and is closely related to the functions of other modules such as production scheduling, planning, scheduling and management and the like; providing basic material information such as a material bill, a material stock and the like for planning schedule management, checking the material complete set condition of the scheduled machine type according to the material information by the planning schedule, giving a complete set conclusion, judging whether a material management module is on-line or not, and prompting the complete set production quantity and generating a material shortage list when the complete set is not available; sending materials to a station warehouse from R/3 according to the material shortage list; feeding back information such as the state of a product in process, an installation station, installation progress and the like in the material information to production management; the production management adjusts the production plan according to the material information; the material management mainly realizes three basic functional modules of material receiving management, material storage management, material distribution management and the like;
as shown in fig. 2, the system is a factory network topology diagram based on an intelligent MES real-time data analysis system, adopts a B/S MES and an internet operating environment, can quickly and efficiently collect factory numerical control cluster, AGV trolley, industrial robot, RFID and other manufacturing equipment resource data, and integrates the prepared production resource information from each enterprise internal department such as planning department, design department, quality department, purchasing department, warehousing department and the like; an operation interface of the MES system is displayed through a browser, a client-side use program does not need to be specially developed, and main business service logic processing and data storage are finished in a server of the MES; MES of B/S mode is convenient for later stage system maintenance, along with enterprise extension or system in the extension, can not increase maintenance and upgrading work in later stage, consequently adopt the B/S mode not only upgrade to maintain simply, and its low configuration has reduced development later maintenance cost, enterprise 'S staff, outsourcing business and supplier can utilize the extranet to carry out long-range assistance production, the colleague can invite the customer to participate in the design jointly, turn into the product with customer' S demand as far as, and the customer can know the product processing production condition on line in real time through the internet, better control product quality.
In the description of the invention, it should be specifically noted that, unless explicitly stated or limited otherwise, the terms "mounted," "connected," and "connected" as used herein are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the creation of the present invention can be understood by those of ordinary skill in the art through specific situations.
Claims (1)
1. An intelligent MES real-time data analysis system mainly comprises: the system comprises an ERP plan layer, an intelligent manufacturing execution system layer, an intelligent mutual inductance interconnection layer, a production plan arrangement unit, a quality management unit and a material management unit;
the method is characterized in that: the ERP planning layer is positioned at the highest layer and is an enterprise resource planning management layer; the system participates in managing the human resource management of the enterprise, manages and plans all manufacturing resources of the enterprise, makes a production plan according to the user order and sends the production plan to a factory MES (manufacturing execution system);
the intelligent manufacturing execution system layer is positioned in the middle layer and comprises a business application layer, a data analysis layer and a production data center layer; the intelligent manufacturing execution system layer stores the manufacturing process resources of the intelligent mutual inductance interconnection layer in a real-time database and a relational database through multi-source data acquisition and integration;
the intelligent mutual inductance interconnection layer is positioned at the bottommost layer and comprises an industrial control layer, a communication layer and an equipment execution layer;
the production plan arrangement mainly comprises two parts of production plan assignment and plan completion report forms; the production plan issuing comprises four modules of schedule importing, schedule modifying, schedule comparing and order management; the plan completion report comprises two modules of real-time production progress comparison and workshop task query;
the quality management unit detects the raw materials or products according to the quality management requirements, records the spot check result and determines the rework range; automatically producing the product sampling inspection batch and the sampling inspection quantity of the batch according to the product quality inspection standard and the product batch information; and (4) scanning/keying in the product bar code by a factory-resident engineer according to the sampling inspection batch information, and automatically taking out work order information by a system so as to provide a basis for the judgment of the engineer.
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| CN202011389173.9A CN112418540A (en) | 2020-12-02 | 2020-12-02 | Intelligent MES real-time data analysis system |
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| CN202011389173.9A CN112418540A (en) | 2020-12-02 | 2020-12-02 | Intelligent MES real-time data analysis system |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113034027A (en) * | 2021-04-12 | 2021-06-25 | 湖南紫竹科技有限公司 | Intelligent manufacturing execution system for electronic components |
| CN113610484A (en) * | 2021-07-01 | 2021-11-05 | 科尔比乐(广州)智能装备有限公司 | Intelligent manufacturing production execution system L-MES and manufacturing method thereof |
| CN113737015A (en) * | 2021-09-26 | 2021-12-03 | 云南锡业股份有限公司锡业分公司 | Intelligent crude tin smelting system and method |
| CN113778035A (en) * | 2021-09-26 | 2021-12-10 | 云南锡业股份有限公司锡业分公司 | Intelligent crude tin smelting system |
| CN114384877A (en) * | 2021-12-27 | 2022-04-22 | 广州蓝海机器人***有限公司 | Photovoltaic industry intelligent workshop manufacturing system and method |
-
2020
- 2020-12-02 CN CN202011389173.9A patent/CN112418540A/en not_active Withdrawn
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113034027A (en) * | 2021-04-12 | 2021-06-25 | 湖南紫竹科技有限公司 | Intelligent manufacturing execution system for electronic components |
| CN113034027B (en) * | 2021-04-12 | 2023-12-15 | 湖南紫竹科技有限公司 | Intelligent manufacturing execution system of electronic component |
| CN113610484A (en) * | 2021-07-01 | 2021-11-05 | 科尔比乐(广州)智能装备有限公司 | Intelligent manufacturing production execution system L-MES and manufacturing method thereof |
| CN113737015A (en) * | 2021-09-26 | 2021-12-03 | 云南锡业股份有限公司锡业分公司 | Intelligent crude tin smelting system and method |
| CN113778035A (en) * | 2021-09-26 | 2021-12-10 | 云南锡业股份有限公司锡业分公司 | Intelligent crude tin smelting system |
| CN113737015B (en) * | 2021-09-26 | 2023-10-03 | 云南锡业股份有限公司锡业分公司 | Intelligent crude tin smelting system and method |
| CN114384877A (en) * | 2021-12-27 | 2022-04-22 | 广州蓝海机器人***有限公司 | Photovoltaic industry intelligent workshop manufacturing system and method |
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Application publication date: 20210226 |