Precise sheet metal production intelligent planning and scheduling system and use method thereof

Abstract

The invention discloses an intelligent planning and scheduling system for precise sheet metal production and a use method thereof, the system comprises a business system layer, an intelligent equipment layer, an Internet of Things layer, an intelligent decision-making layer and a data center layer, the Internet of Things layer comprises a data acquisition and monitoring control system; according to the precise sheet metal production intelligent plan scheduling system and the use method thereof, the intelligent equipment layer is taken as a basis, the Internet of Things layer is taken as a link, the data center layer is taken as a core, when an order or an order intention is input in the business system layer, the system feeds back to the intelligent decision-making layer through accounting to complete or simulate a plan scheduling real-time closed loop; proper sheet metal equipment, detection equipment and raw materials are rapidly and effectively selected, a production plan is rapidly arranged, orders are completed on time, and the aims of meeting order requirements are achieved.

Description

Technical Field

[0001] The invention relates to sheet metal review technology, in particular to an intelligent planning and scheduling system for precision sheet metal production and a use method thereof. Background Art

[0002] In recent years, the sheet metal processing industry is gradually transforming towards intelligence. As an important part of intelligent manufacturing, the intelligent sheet metal workshop production system is becoming increasingly intelligent. Many companies have begun to introduce advanced information management systems such as MES (manufacturing execution system) to achieve digital, networked and intelligent management of the production process.

[0003] However, in the production process of precision sheet metal products, due to different order quantities, different material types, and numerous processes, the following problems may arise in the production process:

[0004] 1. Low level of intelligence: Conventional sheet metal enterprises are small in scale, with little investment in intelligent equipment and low level of intelligent production, making it difficult to provide timely feedback during production scheduling and material production;

[0005] 2. Information island phenomenon: The information system within the sheet metal enterprise is relatively isolated, and the data is scattered and opaque, resulting in poor information flow and difficulty in achieving resource sharing and collaborative work;

[0006] 3. Low efficiency of information acquisition: Information acquisition is mainly based on paper documents, the process is not rigorous and the efficiency of information transmission is low, which makes it difficult for managers to understand the situation on the production site in a timely manner and make decisions.

[0007] These problems have resulted in most companies being unable to accurately schedule production based on constraints such as equipment, personnel, and delivery dates, resulting in order demand not being met and orders not being completed on time. Summary of the invention

[0008] In order to solve the defects of the above-mentioned prior art, the present invention provides an intelligent planning and scheduling system for precision sheet metal production and a method of using the same, which can quickly and effectively select suitable equipment and raw materials, arrange production plans, complete orders on time, and meet order requirements.

[0009] To achieve the above technical objectives, the present invention adopts the following technical solutions: an intelligent planning and scheduling system for precision sheet metal production, comprising

[0010] The business system layer is used to receive order information and intelligent decision-making layer information, formulate production plans based on order information and resource information of the intelligent device layer, and modify production plans based on the information of the intelligent decision-making layer;

[0011] Intelligent equipment layer for digital sheet metal production according to production plans;

[0012] The Internet of Things layer is used to monitor and control the production status of the smart device layer, collect and feed back the data of the smart device layer to the intelligent decision-making layer. The Internet of Things layer includes a data collection and monitoring control system;

[0013] The intelligent decision-making layer is used to receive the intelligent device layer data fed back by the IoT layer, modify the production plan according to the feedback data, and transmit the plan modification information to the business system layer;

[0014] The data center layer is used to store the production data and resource information of the intelligent device layer, the production plan of the business system layer, and the decision information of the intelligent decision layer.

[0015] Preferably, the business system layer includes a three-dimensional process design system, an enterprise resource planning system, an intelligent manufacturing execution system and a warehouse management system. The three-dimensional process design system is used to three-dimensionally model workpiece drawings according to order information, the enterprise resource planning system is used to formulate production plans according to the workpiece drawings and intelligent device layer resource information, the intelligent manufacturing execution system is used to select corresponding raw materials and equipment information in the intelligent device layer according to the production plan, and the warehouse management system is used to unlock the equipment and raw materials in storage according to the raw materials and equipment information selected by the intelligent manufacturing execution system.

[0016] Preferably, the intelligent equipment layer includes sheet metal equipment, testing equipment, AGV, fixtures, andon system and warehouse, the data acquisition and monitoring control system monitors the sheet metal equipment through the data acquisition and control module, the data acquisition and monitoring control system monitors the selected fixtures through the RFID module, the andon system is used to monitor the production status of the sheet metal equipment and manage the quality of the workpiece, and the warehouse is used to store sheet metal equipment and raw materials.

[0017] Preferably, the intelligent decision-making layer includes a production control center and a mobile terminal. The production control center is used to display the production status of sheet metal equipment, the usage of tooling and fixtures, the quality of workpieces and warehouse information. The mobile terminal is used to view and analyze various data of the data center layer, make decisions to modify production plans and execute them through the data acquisition and monitoring control system.

[0018] Preferably, the data center layer includes a data integration platform and a decision analysis platform. The data integration platform is used to receive and integrate data fed back by the data acquisition and monitoring control system, and transmit the data to the production control center. The decision analysis platform is used to analyze the data fed back by the data acquisition and monitoring control system, generate decision-making auxiliary information, and transmit the analysis situation and decision-making auxiliary information to the mobile terminal.

[0019] A method for using an intelligent planning and scheduling system for precision sheet metal production includes the following steps:

[0020] S1. Order information input;

[0021] S2, the business system layer receives the order information and formulates a production plan based on the order information and the resource information of the smart device layer;

[0022] S3, the business system layer transmits the production plan to the intelligent equipment layer, and the intelligent equipment layer selects the required raw materials and sheet metal equipment according to the production plan;

[0023] S4, intelligent manufacturing at the intelligent equipment layer, digital production of workpieces;

[0024] S5. The IoT layer collects data from the smart device layer, stores the data in real time to the data center layer and feeds it back to the smart decision-making layer

[0025] S6. The intelligent decision-making layer modifies the production plan and transmits the plan to the Internet of Things layer. The Internet of Things layer monitors and controls the intelligent device layer to make adjustments according to the modified production plan.

[0026] S7. Complete the production plan, deliver the order, organize the data and store it on the data integration platform, improve the plan library, calculate the optimal solution and store it on the decision analysis platform to facilitate subsequent order decisions.

[0027] Preferably, the S2 step includes the following specific steps:

[0028] a. The 3D process design system receives the order information and converts the workpiece drawings and BOM into 3D modeling based on the order information;

[0029] b. The enterprise resource planning system formulates a production plan based on order information and intelligent device layer resource information;

[0030] c. The intelligent manufacturing execution system selects sheet metal equipment, fixtures and raw materials in the warehouse in the intelligent equipment layer according to the production plan and workpiece drawings;

[0031] d. The warehouse management system unlocks the selected sheet metal equipment, tooling fixtures and raw materials.

[0032] Preferably, the S4 step includes the following specific steps:

[0033] a. AGV moves the selected raw materials to the appropriate sheet metal equipment for precision sheet metal processing;

[0034] b. AGV moves the processed workpiece to the inspection equipment for quality testing;

[0035] c. AGV moves the workpieces after quality testing and stores them in the warehouse according to categories.

[0036] In summary, the present invention has achieved the following technical effects:

[0037] The precision sheet metal production intelligent planning and scheduling system of the present invention and its use method are based on the intelligent device layer, the Internet of Things layer as the link, and the data center layer as the core. When an order or order intention is input at the business system layer, the system completes or simulates the real-time closed loop of planning and scheduling through accounting feedback to the intelligent decision-making layer, thereby realizing the goal of quickly and effectively selecting suitable sheet metal equipment, testing equipment and raw materials, quickly arranging production plans, completing orders on time, and meeting order requirements. DETAILED DESCRIPTION

[0038] The present invention is described in further detail below.

[0039] This specific embodiment is merely an explanation of the present invention and is not a limitation of the present invention. After reading this specification, those skilled in the art may make non-creative modifications to the present embodiment as needed. However, as long as they are within the scope of the claims of the present invention, they are protected by the patent law.

[0040] In the description of the present invention, it is to be understood that the terms “center”, “longitudinal”, “lateral”, “length”, “width”, “thickness”, “up”, “down”, “front”, “back”, “left”, “right”, “vertical”, “horizontal”, “top”, “bottom”, “inside”, “outside”, “clockwise”, “counterclockwise”, “axial”, “radial”, “circumferential” and the like to indicate orientations or positional relationships, which are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0041] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0042] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0043] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0044] Embodiment 1:

[0045] An intelligent planning and scheduling system for precision sheet metal production includes a business system layer for receiving order information and intelligent decision-making layer information, formulating a production plan based on the order information and resource information of the intelligent device layer, and modifying the production plan based on the intelligent decision-making layer information;

[0046] Intelligent equipment layer for digital sheet metal production according to production plans;

[0047] The Internet of Things layer is used to monitor and control the production status of the smart device layer, collect and feed back the data of the smart device layer to the intelligent decision-making layer. The Internet of Things layer includes a data acquisition and monitoring control system; the data acquisition and monitoring control system is the SCADA system (Supervisory Control And Data Acquisition), which is a computer-based industrial control system. It is mainly used for data collection, monitoring and control of production systems with long distribution distances and dispersed production units. The SCADA system is widely used in the fields of electricity, metallurgy, petroleum, chemical industry, railways, etc., especially in the power system where it is most widely used and the technology is the most mature;

[0048] The intelligent decision-making layer is used to receive the intelligent device layer data fed back by the IoT layer, modify the production plan according to the feedback data, and transmit the plan modification information to the business system layer;

[0049] The data center layer is used to store the production data and resource information of the intelligent device layer, the production plan of the business system layer, and the decision information of the intelligent decision layer.

[0050] The precision sheet metal production intelligent planning and scheduling system of this embodiment is based on the intelligent equipment layer, the Internet of Things layer as the link, and the data center layer as the core. When there is an order or order intention input in the business system layer, the system can quickly and effectively select suitable sheet metal equipment, testing equipment and raw materials through accounting feedback to the intelligent decision-making layer: through the use of professional sheet metal processing equipment such as intelligent shearing machines, laser cutting machines, optical fiber cutting machines, CNC punching machines, CNC bending machines, welding and riveting machines, and sheet metal detectors, three-coordinate measuring machines, material analyzers, tensile testing machines and other advanced testing equipment intelligent equipment, as well as the application of Kingdee ERP system, Aipugonghua MES system and Trumpf management system information system, the on-time delivery rate of sales orders reached 98%, the production plan achievement rate reached 99%, the product quality qualification rate reached 98.5%, the equipment utilization rate reached 79%, the workshop energy consumption decreased by 8% year-on-year, the number of employees in the workshop decreased by 80%, and the production plan was quickly arranged, the orders were completed on time, and the order requirements were met.

[0051] Kingdee ERP system is used to formulate production plans according to sales orders and market forecasts. In the Apex MES system, the master production plan is combined with equipment, personnel, delivery date and other constraints for accurate production scheduling, achieving the matching of simple production and bom production modes, workshop-level operation scheduling, and through the production network and TRUMPF management system, the production work order and process documents are sent to each production equipment on time for production and reporting, and station-level monitoring and feedback; BOM (Bill of Material) is a file that describes the product structure in a data format. It is a product structure data file that can be recognized by computers and is also the dominant file of ERP. BOM is the system to identify the product structure, and it is also the link to connect and communicate various businesses of the enterprise; the types of BOM in the ERP system mainly include 5 categories: indented BOM, summarized BOM, reverse-check BOM, cost BOM, and planned BOM.

[0052] The business system layer includes a three-dimensional process design system, an enterprise resource planning system, an intelligent manufacturing execution system and a warehouse management system. The three-dimensional process design system is used to three-dimensionally model workpiece drawings according to order information, the enterprise resource planning system is used to formulate production plans according to workpiece drawings and intelligent equipment layer resource information, the intelligent manufacturing execution system is used to select corresponding raw materials and equipment information in the intelligent equipment layer according to the production plan, and the warehouse management system is used to unlock the equipment and raw materials in storage according to the raw materials and equipment information selected by the intelligent manufacturing execution system; the intelligent manufacturing execution system includes an advanced planning and scheduling module, an execution control module, a logistics control module, a quality control module, an equipment management module, an energy management module and a tool management module;

[0053] Among them, the 3D process design system mainly uses the 3D drawing software operated by the draftsman to model the workpiece drawings according to the order information. The enterprise resource planning system uses the Kingdee ERP system, which is a financial management software and a general term for enterprise resource planning. It contains a lot of knowledge worth learning and studying throughout our lives. It is a symbol of management informatization, systematization and intelligence; the intelligent manufacturing execution system uses the Aipugonghua MES system. The MES system is a production information management system for the workshop execution layer of manufacturing enterprises. MES can provide enterprises with management modules including manufacturing data management, planning and scheduling management, production scheduling management, inventory management, quality management, human resources management, work center / equipment management, tool and tooling management, procurement management, cost management, project kanban management, production process control, bottom-level data integration analysis, and upper-level data integration decomposition, so as to create a solid, reliable, comprehensive and feasible manufacturing collaborative management platform for enterprises; the warehouse management system uses the Trumpf management system. The warehouse management system is the WMS system (Warehouse Management System), which is a real-time computer software system used to manage warehouse information, resources, behavior, inventory and distribution operations according to business rules and algorithms to improve efficiency. The WMS system covers multiple functional modules such as warehousing, outbound warehousing, inventory management, etc. Through integration with other systems, it can provide comprehensive enterprise business process and financial management information.

[0054] The intelligent equipment layer includes sheet metal equipment, testing equipment, AGV, fixtures, andon system and warehouse. The data acquisition and monitoring control system monitors the sheet metal equipment through the data acquisition and control module, and the data acquisition and monitoring control system monitors the selected fixtures through the RFID module. The andon system is used to monitor the production status of sheet metal equipment and manage the quality of workpieces. The warehouse is used to store sheet metal equipment and raw materials, wherein the sheet metal equipment includes professional sheet metal processing equipment such as intelligent shearing machines, laser cutting machines, optical fiber cutting machines, CNC punching machines, CNC bending machines, welding and riveting machines; the testing equipment includes sheet metal detectors, three-coordinate measuring machines, material analyzers, and tensile testing machines; the automatic guided vehicle (AGV) is an industrial vehicle that loads goods automatically or manually, automatically drives according to the set route or pulls the cargo trolley to the designated location, and then loads and unloads goods automatically or manually; radio frequency identification (RFID) is the abbreviation of Radio Frequency Identification; its principle is to carry out non-contact data communication between the reader and the tag to achieve the purpose of identifying the target. RFID is widely used, and its typical applications include animal chips, car chip anti-theft devices, access control, parking lot control, production line automation, and material management; the Andon system is also called the "Andon system". Andon is the transliteration of Japanese, meaning "light" or "lantern". The Andon system refers to an information management tool that enterprises use to collect information about equipment and quality on the production line through light and sound alarm systems distributed throughout the workshop. Originated from Toyota Motor Corporation in Japan, it is mainly used to achieve visual management of the workshop site. In an Andon system, each device or workstation is equipped with a call light. If a problem is found during the production process, the operator (or the device itself) will turn on the light to attract attention, so that the problems in the production process can be dealt with in a timely manner, avoiding interruptions to the production process or reducing the possibility of their recurrence.

[0055] The intelligent decision-making layer includes a production control center and a mobile terminal. The production control center is used to display the production status of sheet metal equipment, the usage of tooling and fixtures, the quality of workpieces and warehouse information. The mobile terminal is used to view and analyze various data of the data center layer, make decisions to modify production plans and execute them through the data acquisition and monitoring control system.

[0056] The data center layer includes a data integration platform and a decision analysis platform. The data integration platform is used to receive and integrate data fed back by the data acquisition and monitoring control system, and transmit the data to the production control center. The decision analysis platform is used to analyze the data fed back by the data acquisition and monitoring control system, generate decision-making auxiliary information, and transmit the analysis situation and decision-making auxiliary information to the mobile terminal.

[0057] A method for using an intelligent planning and scheduling system for precision sheet metal production includes the following steps:

[0058] S1. Order information input;

[0059] S2. The business system layer receives the order information and formulates a production plan based on the order information and the resource information of the intelligent device layer: a. The 3D process design system receives the order information and converts the workpiece drawings and BOM according to the 3D modeling of the order information; b. The enterprise resource planning system formulates a production plan based on the order information and the resource information of the intelligent device layer; c. The intelligent manufacturing execution system selects the sheet metal equipment, tooling fixtures in the intelligent device layer and the raw materials in the warehouse according to the production plan and the workpiece drawings; d. The warehouse management system unlocks the selected sheet metal equipment, tooling fixtures and raw materials;

[0060] S3, the business system layer transmits the production plan to the intelligent equipment layer, and the intelligent equipment layer selects the required raw materials and sheet metal equipment according to the production plan;

[0061] S4, Intelligent manufacturing at the intelligent equipment level, digital production of workpieces: a. AGV moves the selected raw materials to the appropriate sheet metal equipment for precision sheet metal processing;

[0062] b. AGV moves the processed workpiece to the inspection equipment for quality testing;

[0063] c. AGV moves the workpieces after quality testing and stores them in the warehouse according to categories.

[0064] S5. The IoT layer collects data from the smart device layer, stores the data in real time to the data center layer and feeds it back to the smart decision-making layer

[0065] S6. The intelligent decision-making layer modifies the production plan and transmits the plan to the Internet of Things layer. The Internet of Things layer monitors and controls the intelligent device layer to make adjustments according to the modified production plan.

[0066] S7. Complete the production plan, deliver the order, organize the data and store it on the data integration platform, improve the plan library, calculate the optimal solution and store it on the decision analysis platform to facilitate subsequent order decisions.

[0067] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Any simple modification, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention are within the scope of the technical solution of the present invention.

Claims

1. An intelligent planning and scheduling system for precision sheet metal production, characterized in that: include The business system layer is used to receive order information and intelligent decision-making layer information, formulate production plans based on order information and resource information of the intelligent device layer, and modify production plans based on the information of the intelligent decision-making layer; Intelligent equipment layer for digital sheet metal production according to production plans; The Internet of Things layer is used to monitor and control the production status of the smart device layer, collect and feed back the data of the smart device layer to the intelligent decision-making layer. The Internet of Things layer includes a data collection and monitoring control system; The intelligent decision-making layer is used to receive the intelligent device layer data fed back by the IoT layer, modify the production plan according to the feedback data, and transmit the plan modification information to the business system layer; The data center layer is used to store the production data and resource information of the intelligent device layer, the production plan of the business system layer, and the decision information of the intelligent decision layer.

2. According to claim 1, a precision sheet metal production intelligent planning and scheduling system is characterized in that: The business system layer includes a three-dimensional process design system, an enterprise resource planning system, an intelligent manufacturing execution system and a warehouse management system. The three-dimensional process design system is used to three-dimensionally model workpiece drawings according to order information. The enterprise resource planning system is used to formulate production plans according to workpiece drawings and intelligent device layer resource information. The intelligent manufacturing execution system is used to select corresponding raw materials and equipment information in the intelligent device layer according to the production plan. The warehouse management system is used to unlock the equipment and raw materials in storage according to the raw materials and equipment information selected by the intelligent manufacturing execution system.

3. According to claim 1, the intelligent planning and scheduling system for precision sheet metal production is characterized in that: The intelligent equipment layer includes sheet metal equipment, testing equipment, AGV, fixtures, andon system and warehouse. The data acquisition and monitoring control system monitors the sheet metal equipment through the data acquisition and control module. The data acquisition and monitoring control system monitors the selected fixtures through the RFID module. The andon system is used to monitor the production status of sheet metal equipment and manage the quality of workpieces. The warehouse is used to store sheet metal equipment and raw materials.

4. According to claim 3, the intelligent planning and scheduling system for precision sheet metal production is characterized in that: The intelligent decision-making layer includes a production control center and a mobile terminal. The production control center is used to display the production status of sheet metal equipment, the usage of tooling and fixtures, the quality of workpieces and warehouse information. The mobile terminal is used to view and analyze various data of the data center layer, make decisions to modify production plans and execute them through the data acquisition and monitoring control system.

5. According to claim 4, the intelligent planning and scheduling system for precision sheet metal production is characterized in that: The data center layer includes a data integration platform and a decision analysis platform. The data integration platform is used to receive and integrate data fed back by the data acquisition and monitoring control system, and transmit the data to the production control center. The decision analysis platform is used to analyze the data fed back by the data acquisition and monitoring control system, generate decision-making auxiliary information, and transmit the analysis situation and decision-making auxiliary information to the mobile terminal.

6. A method for using a precision sheet metal production intelligent planning and scheduling system, used in the precision sheet metal production intelligent planning and scheduling system as claimed in any one of claims 1 to 7, characterized in that: The following steps are involved: S1. Order information input; S2, the business system layer receives the order information and formulates a production plan based on the order information and the resource information of the smart device layer; S3, the business system layer transmits the production plan to the intelligent equipment layer, and the intelligent equipment layer selects the required raw materials and sheet metal equipment according to the production plan; S4, intelligent manufacturing at the intelligent equipment layer, digital production of workpieces; S5. The IoT layer collects data from the smart device layer, stores the data in real time to the data center layer and feeds it back to the smart decision-making layer S6. The intelligent decision-making layer modifies the production plan and transmits the plan to the Internet of Things layer. The Internet of Things layer monitors and controls the intelligent device layer to make adjustments according to the modified production plan. S7. Complete the production plan, deliver the order, organize the data and store it on the data integration platform, improve the plan library, calculate the optimal solution and store it on the decision analysis platform to facilitate subsequent order decisions.

7. The method for using the intelligent planning and scheduling system for precision sheet metal production according to claim 6 is characterized in that: The S2 step includes the following specific steps: a. The 3D process design system receives the order information and converts the workpiece drawings and BOM into 3D modeling based on the order information; b. The enterprise resource planning system formulates a production plan based on order information and intelligent device layer resource information; c. The intelligent manufacturing execution system selects sheet metal equipment, fixtures and raw materials in the warehouse in the intelligent equipment layer according to the production plan and workpiece drawings; d. The warehouse management system unlocks the selected sheet metal equipment, tooling fixtures and raw materials.

8. The method for using the intelligent planning and scheduling system for precision sheet metal production according to claim 7 is characterized in that: The S4 step includes the following specific steps: a. AGV moves the selected raw materials to the appropriate sheet metal equipment for precision sheet metal processing; b. AGV moves the processed workpiece to the inspection equipment for quality testing; c. AGV moves the workpieces after quality testing and stores them in the warehouse according to categories.