CN209746415U

CN209746415U - intelligent factory training system

Info

Publication number: CN209746415U
Application number: CN201920389220.6U
Authority: CN
Inventors: 廖振勇; 李显; 王晓娅; 于若鹏
Original assignee: Beijing Institute Of Industrial Technicians
Current assignee: Beijing Institute Of Industrial Technicians
Priority date: 2019-03-26
Filing date: 2019-03-26
Publication date: 2019-12-06
Anticipated expiration: 2029-03-26

Abstract

The utility model provides a real standard system of intelligence mill, include: the system comprises an equipment layer, an execution layer, a production management and control layer, an enterprise resource management layer and a big data cloud platform; the equipment layer comprises terminal equipment, and the terminal equipment comprises one or more combinations of an automatic guide delivery wagon, an ABB/KUKA robot, a numerical control wagon, a numerical control machining center, an industrial communication network, an industrial network master station information acquisition and 3D information real-time display system, and is used for implementing production tasks; the execution layer includes: the intelligent storage unit and the automatic production line are used for executing tasks in the generation plan; the production management and control layer comprises an intelligent manufacturing management system (MES) and is used for generating the distribution of tasks in the plan; the enterprise resource management layer includes an intelligent enterprise resource management system (ERP) for generating a production plan. And the big data cloud platform is used for being interconnected with the outside to acquire product demand information and product technical information.

Description

intelligent factory training system

Technical Field

The utility model relates to an intelligence production technical field, in particular to real standard system of intelligence mill.

Background

since the new century, a new revolution of technology and industry is emerging, and the global technological innovation presents new development situation and characteristics. The change is a deep integration of information technology and manufacturing industry, is a new change caused by the breakthrough of new energy, new materials and the like on the basis of the Internet of things by taking the digitalization, networking and intellectualization of the manufacturing industry as a core and simultaneously superposing the new energy, the new materials and the like, and brings a deep influence on the manufacturing industry in the world.

Intelligent manufacturing is considered as the most important advanced manufacturing technology in the 21 st century in the united states, europe and japan, and is considered as the highest point of scientific and technological competition in international manufacturing industry. China also officially released the strategy plan of 'China manufacture 2025' in 2015, which is an important strategy outline for accelerating the promotion of the innovation-driven development strategy of China and realizing the transition from 'manufacturing greater countries' to 'manufacturing strong countries' in China. "talent is the foundation" as one of the basic 5 guidelines of the 20-word strategic guidance of "manufacturing 2025 in China", innovation drive, quality guarantee, green development and structure optimization are rooted in talents, and the talents are taken as the fundamental development roads for building and manufacturing strong countries and leading talents. The thirteen-five planning outline clearly provides innovation breakthrough in the field of promoting the leading edge of the strategy, accelerates breakthrough of core technologies in the fields of new generation information communication, new energy, new materials, aerospace, biomedicine, intelligent manufacturing and the like, takes intelligent manufacturing and robots as one of nine major projects, and ranks the intelligent manufacturing and robots as a major project of technological innovation 2030.

The intelligent manufacturing is a general name of a new system manufacturing process, a system and a mode which are based on a new generation information technology, integrate a manufacturing technology with a digital technology, an intelligent technology and a network technology and are applied to the whole life cycle of design, production, management and service, sense, analysis, reasoning, decision and control are carried out in the manufacturing process, and the system has the functions of information deep self-sensing, intelligent optimization self-decision, accurate control self-execution and the like, and aims to manufacture products and service users efficiently, flexibly, cleanly, safely and swiftly. The production efficiency of a factory is greatly improved through digital and intelligent construction, and the management mode and talent requirements are greatly changed.

SUMMERY OF THE UTILITY MODEL

the utility model provides a real standard system of intelligence mill constructs an intelligent mill, has produced the warehouse entry to the product from connecing the order, and whole intelligent, automatic has improved the production efficiency of mill, practices thrift the human cost.

The utility model provides a real standard system of intelligence mill, include:

the system comprises an equipment layer, an execution layer, a production management and control layer, an enterprise resource management layer and a big data cloud platform;

the equipment layer comprises terminal equipment, the terminal equipment comprises an AGV (automatic Guided Vehicle), a welding robot, a welding system, an assembling robot, a feeding and discharging robot, an automatic conveying line, a seven-axis industrial robot, a numerical control lathe, a numerical control machining center, an industrial communication network, an industrial network master station information acquisition and 3D information real-time display system and is used for implementing production tasks;

The execution layer includes: automatic production line and intelligent storage unit, automatic production line includes: the intelligent welding unit, the intelligent assembling unit, the intelligent processing unit and the intelligent logistics unit are arranged on the welding machine; the intelligent storage unit comprises a material warehouse, a semi-finished product warehouse and a finished product warehouse, and the execution layer is used for executing tasks in the generation plan;

the production control layer comprises an intelligent Manufacturing management System (Manufacturing Execution System) abbreviated as MES and is used for realizing the distribution of tasks in a production plan;

the Enterprise Resource management layer comprises an intelligent Enterprise Resource management (ERP) for short, and is used for generating a production plan;

the big data cloud platform is used for being interconnected with the outside to acquire product demand information and product technical information;

The big data cloud platform acquires product demand information and product technical information from the Internet, the enterprise resource management layer generates a production plan according to the product demand information, the production management and control layer acquires the production plan from the enterprise resource management layer and distributes tasks in the production plan to the execution layer, and the execution layer controls the equipment layer to execute the tasks in the production plan.

Optionally, the intelligent welding unit includes 5 sets of intelligent welding systems, and each set of welding system includes a welding robot and a welding system.

Optionally, the intelligent assembly unit comprises an automatic conveying line, an assembly robot and a loading and unloading robot.

Optionally, the intelligent processing unit comprises a numerical control processing center, a numerical control lathe, a seven-axis industrial robot and an RFID cache material rack.

optionally, the intelligent logistics unit includes an AGV and a laser navigation system thereof.

optionally, the material warehouse, the semi-finished product warehouse and the finished product warehouse respectively include a shelf, a stacker, an in-out warehouse conveyor, an automatic control subsystem and a management information subsystem.

optionally, the 3D real-time display system includes a 3D control system and a 3D display screen connected to the 3D control system;

The 3D control system is respectively connected with the intelligent welding unit, the intelligent assembling unit, the intelligent processing unit and the intelligent logistics unit and is used for receiving the working states of the intelligent welding unit, the intelligent assembling unit, the intelligent processing unit and the intelligent logistics unit and displaying the working states on a 3D display;

The 3D control system also receives an operation instruction of a user through the 3D display screen, and sends a control command corresponding to the operation instruction of the user to one or more of the intelligent welding unit, the intelligent assembling unit, the intelligent processing unit and the intelligent logistics unit according to the operation instruction of the user.

additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

The technical solution of the present invention is further described in detail by the accompanying drawings and examples.

Drawings

The accompanying drawings are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention, and together with the description serve to explain the invention and not to limit the invention. In the drawings:

Fig. 1 is a schematic diagram of an intelligent factory training system according to an embodiment of the present invention;

Fig. 2 is a schematic diagram of a control system according to an embodiment of the present invention;

Fig. 3 is a schematic diagram of an intelligent assembly unit according to an embodiment of the present invention;

FIG. 4 is a schematic diagram of an AGV according to an embodiment of the present invention;

FIG. 5 is a schematic view of an AGV according to an embodiment of the present invention;

Fig. 6 is a schematic diagram of another intelligent factory training system in an embodiment of the present invention.

Detailed Description

The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are presented herein only to illustrate and explain the present invention, and not to limit the present invention.

the embodiment of the utility model provides an intelligence real standard system of mill, as shown in figure 1, include:

The system comprises an equipment layer 21, an execution layer 22, a production management and control layer 23, an enterprise resource management layer 24 and a big data cloud platform 25;

the equipment layer 21 comprises terminal equipment, wherein the terminal equipment comprises an AGV, a welding robot, a welding system, an assembling robot, a loading and unloading robot, an automatic conveying line, a seven-axis industrial robot, a numerical control lathe, a numerical control machining center, an industrial communication network, an industrial network master station information acquisition and 3D information real-time display system and is used for implementing production tasks;

The execution layer 22 includes: intelligence storage unit and automation line, automation line includes: the intelligent welding unit, the intelligent assembling unit, the intelligent processing unit and the intelligent logistics unit are arranged on the welding machine; the intelligent storage unit comprises a material warehouse, a semi-finished product warehouse and a finished product warehouse and is used for executing tasks in the generated plan;

The production management and control layer 23 includes an intelligent manufacturing management system, and an MES (intelligent manufacturing management system) can implement a series of management operations such as real-time interactive management, data acquisition management, operation management, production scheduling management, warehouse management, and the like, and is used for generating distribution and issuing of tasks in a plan, management, and production scheduling;

the enterprise resource management layer 24 includes an intelligent management system, and an ERP (intelligent management system) performs a series of management on production plan management, equipment maintenance management, purchasing/material management, financial management, distribution and transportation management, and the like, and can also expand high-end industrial chains such as smart cities and intelligent logistics, and is used for generating a production plan.

The big data cloud platform 25 is used for being interconnected with the outside to obtain orders;

the big data cloud platform obtains orders from the Internet, the enterprise resource management layer generates a production plan according to the orders, the production management and control layer obtains the production plan from the enterprise resource management layer and distributes tasks in the production plan to the execution layer, and the execution layer controls the equipment layer to execute the tasks in the production plan.

the big data cloud platform realizes the longitudinal integration of internal information and the transverse integration of external information of the whole intelligent factory, realizes social collaborative manufacturing and service manufacturing, and realizes the interconnection and intercommunication of data between enterprises and clients, between enterprises and between the upstream and downstream of an industrial chain. The cloud platform integrates various manufacturing services required in manufacturing activities by taking production and manufacturing services as a core, and realizes release, cantilever, search, evaluation and the like of the manufacturing services and commodities; the cloud platform also provides what manufacturing resources are needed by research and development only and design links are integrated for user online design analysis, industry and design task management, synchronization of equipment data and quality data is supported, intelligent management and control can be achieved in addition to exclusion, and intelligent service application of after-sale cloud services can be achieved, flexible production of data-driven and personalized customized orders is achieved, production efficiency is improved, and comprehensive utilization rate of the equipment is improved.

from receipt receiving to warehousing of the products after production, the whole process is intelligent and automatic, the production efficiency of a factory is improved, and the labor cost is saved.

when in actual use, the welding robot is formed by assembling a welding gun on a tail shaft flange of an industrial robot, a heat source, a welding wire and shielding gas are provided by a matched welding system, the shielding gas is multiple gases such as pure argon and mixed gas, and can weld multiple materials such as most common aluminum alloy and steel, so that the welding robot can be used for welding and assembling. The intelligent welding unit and the intelligent welding system respectively coordinate with the AGV and synchronously display the AGV on the 3D display system;

The intelligent welding system of the intelligent welding unit and the coordination working process between the intelligent welding systems are as follows: and 5 sets of welding systems work cooperatively to complete the welding of the lower end cover of the speed reducer.

the coordination working principle between the intelligent welding unit and the AGV: the trajectory planning of feeding and discharging of the 5 sleeve welding and loading systems is completed by utilizing the characteristic that the AGV can plan the trajectory at will, and the operation mode comprises that 2 AGVs feed and discharge the 1 sleeve welding and loading system and 2 AGVs feed and discharge the 5 sleeve welding and loading systems simultaneously.

1 set of coordination work process between dress system and 2 AGV of welding: 1 AGV starts from intelligent storage unit, transports speed reducer part for welding the dress system to accomplish the pay-off process, weld dress unit welding and accomplish the back, transport intelligent processing unit is accomplished by 1 AGV in addition to accomplish the transportation of welding forming product, in order to accomplish the process of unloading.

the intelligent welding unit and 2 AGV coordinate the working process: 1 AGV starts from intelligent storage unit, transports speed reducer part for 5 cover welding dress systems respectively in proper order, and after 5 cover welding dress system welds and accomplishes, loads 5 cover welding dress system welded forming's product simultaneously in proper order by another 1 AGV, then transports intelligent processing unit together.

Optionally, the intelligent assembly unit comprises an automatic conveying line, an assembly robot and a loading and unloading robot. For example, robots of various brands such as ABB \ kuka are equipped.

In the actual operation of an intelligent factory, an intelligent assembly unit comprises: 4 assembling robots, 2 loading and unloading robots and two automatic conveying lines; as shown in fig. 3, two of the automatic conveying lines are respectively an annular conveying line 5 and a linear conveying line 6; the 4 assembling robots are arranged on two sides of the linear conveying line 6 and located on the inner side of the annular conveying line 5, and the two loading and unloading robots are respectively arranged on two sides of one end of the linear conveying line 6; the 4 assembling robots are respectively a first assembling robot 1, a second assembling robot 2, a third assembling robot 3 and a fourth assembling robot 4; the two loading and unloading robots are respectively a first loading and unloading robot 7 and a second loading and unloading robot 8.

the first loading and unloading robot 7 is mainly responsible for grabbing a tray with a small gear, a tray with a large gear, a tray with a base and a tray with an upper cover from a first AGV9 and then placing the trays on the linear conveying line 6,

The linear conveyor line 6 respectively conveys the pallets to the grabbing stations of the assembly robots, for example, a pallet with a base is conveyed to a first grabbing station 15 of the first assembly robot 1, a pallet with a pinion is conveyed to a second grabbing station 16 of the second assembly robot 2, and a pallet with a gearwheel is conveyed to a third grabbing station 17 of the third assembly robot 3; the tray on which the upper cover is placed is sent to a fourth gripping station 18 of a fourth assembly robot 4;

A second loading and unloading robot 8, mainly responsible for taking out empty pallets from a second AGV10 and then placing them on the endless conveyor line 5;

the annular conveying line 5 moves the tray to a first mounting station 11 of the first assembling robot 1, and the first assembling robot 1 grabs the base from a first grabbing station 15 and then places the base on the empty tray; the annular conveying line 5 continues to convey the tray to a second mounting station 12 of the second assembling robot 2, and the second assembling robot 2 picks the pinion from a second picking station 16 and then mounts the pinion on a base placed on the tray; the annular conveying line 5 continues to convey the tray to a third mounting station 13 of the third assembling robot 3, and the third assembling robot 3 grabs the large gear from a third grabbing station 17 and then mounts the large gear on a base placed on the tray; the annular conveying line 5 continues to convey the tray to a fourth mounting station 14 of a fourth assembling robot 4, and the fourth assembling robot 4 picks the upper cover from a fourth picking station 18 and then mounts the upper cover on a base placed on the tray; thus, the assembly of the speed reducer is completed, the endless conveyor line 5 continues to convey the tray to the end 19, and the second loading and unloading robot 8 grabs the tray conveyed to the end 19 and places the tray on the second AGV 10.

The second AGV10 transports the assembled reducer to the smart storage unit for storage.

Optionally, the intelligent processing unit comprises a numerical control processing center, a numerical control lathe, a seven-axis industrial robot and an RFID cache material rack. For example, in the actual operation of an intelligent factory, the intelligent manufacturing process unit flow is as follows:

when the material (move through the AGV) moves to seven industrial robot snatchs the position, seven industrial robot snatchs the material from RFID buffer memory work or material rest, and numerical control lathe guard gate is automatic to be opened, and seven industrial robot puts the material to the processing position, and seven industrial robot loosens the material and leaves the numerical control lathe region, and the guard gate self-closing to begin first process processing.

After the numerical control lathe finishes processing, the guard gate is opened, seven-axis industrial robot snatchs the material, and seven-axis industrial robot removes through the track that sets up at seven-axis industrial robot lower extreme, when removing machining center position department, the automatic opening of machining center guard gate, seven-axis industrial robot puts the material to the processing position, and seven-axis industrial robot loosens the material and leaves the machining center region, and the guard gate self-closing to begin the processing of second process.

After the machining of the machining center is finished, the machining of the workpiece is finished, after the shaft and the reducer box are simultaneously machined, the shaft and the reducer box are taken out by the seven-shaft industrial robot and placed to the self-unloading AGV, the AGV transfers the material into a semi-finished product Warehouse, and the material is recorded by a WMS (Wireless Management System) System and enters the semi-finished product Warehouse.

taking materials from an AGV tray by a seven-axis industrial robot;

moving to a lathe to finish feeding and discharging (at the moment, the lathe starts to process);

moving to the vertical machining for completing feeding and discharging (at the moment, starting machining in vertical machining);

after the processing is finished, detection is carried out (at the moment, the detection of the internal detection system is carried out)

Putting the workpiece into a material tray;

repeating the above circulation until the machining is finished, and replacing the claw at the quick-replacement claw.

Optionally, the intelligent logistics unit includes an AGV and a laser navigation system thereof. When the intelligent factory is in actual operation, the AGV and the control console carry out real-time information interaction through a radio station, and accurate positioning and navigation of a logistics system are achieved. And respectively conveying the products to be processed to the feeding and discharging grabbing points of the welding unit, the assembling unit and the processing unit by the AGV according to a pre-planned map route, and conveying the products processed by all the units to a finished product warehouse.

As shown in fig. 4 and 5, the AGV includes: a vehicle body 31, a control panel 34 disposed on the vehicle body 31, and a drive system 32 disposed at a bottom end of the vehicle body 31. The laser navigation system 33 is provided directly above the body 31 of the AGV.

map files which are consistent with the navigation path are installed in the AGV and the console. The staff starts the AGV system and gets the AGV on-line, and after the AGV receives the transport task that the control cabinet sent through WLAN, the AGV moves to the point of getting goods along the navigation route, accomplishes the action of getting goods and confirms that the goods of getting is successful (through goods detection switch) at the point of getting goods, then transports the goods to the point of delivery along the navigation route, accomplishes the action of unloading and confirms that the goods of unloading is successful at the point of delivery, and then continues to carry out next transport task. The AGV reports the position and state information of the AGV to the control console in a certain time period in the walking process, and the control console checks the information and sends a next operation instruction to the AGV according to the operation condition of the AGV. When the control console receives the information that the battery electric quantity reported by the AGV is low, a charging instruction is issued to the AGV, the AGV can automatically run to a charging station to charge after completing the delivery task, and the delivery task is continuously executed after the charging is completed. The processes of goods taking, goods delivery, charging and the like are automatically completed by the AGV system, and manual intervention is not needed.

optionally, the material warehouse, the semi-finished product warehouse and the finished product warehouse respectively include a shelf, a stacker, an in-out warehouse conveyor, an automatic control subsystem and a management information subsystem. The automatic control subsystem and the management information subsystem can automatically complete the goods storing and taking operation according to the instruction, and automatically manage the goods in the warehouse, so that the material handling and warehousing are more reasonable. Each warehouse location of the stereoscopic warehouse is provided with a significant position mark consistent with intelligent warehouse management software, each tray is provided with an RFID tag card, and a stacker finishes the transportation of materials and the support of each warehouse location and a material discharging point.

Warehouse entry process:

the tray loaded with the materials by the AGV is conveyed to an in-out warehouse conveyor,

An RFID card reader arranged on the conveyor reads an RFID tag card on the tray, and the position of the tray, which should be placed on the shelf, is inquired through a management information subsystem;

The automatic control subsystem acquires the position of placing the tray on the shelf from the management information subsystem, controls the in-out warehouse conveyor to act to convey the tray to the lower part of the corresponding shelf,

The pallet is then placed on the pallet by a stacker arranged below the pallet.

Warehouse-out flow:

the automatic control subsystem acquires information of materials or products needing to be delivered out of the warehouse;

The automatic control subsystem obtains the tray storing the information of the materials or products needing to be delivered from the warehouse from the management information subsystem for placement;

The stacker arranged below the goods shelf is controlled to take the tray off the goods shelf and place the tray on the in-out warehouse conveyor,

And the warehouse-in and warehouse-out conveyor conveys the tray to the waiting AGV trolley.

Each part of the intelligent factory training system takes a main controller S7-1500 as a control core and is connected with the control cores S7-300 of the assembly units in a Siemens PLC internal S7 communication mode, and further controls ABB and KUKA robots in a Profinet communication mode and controls an assembly line in an I/O communication mode; meanwhile, the welding unit is connected in a Profinet communication mode; the connection of the controller of the AGV to the main controllers S7-1500 is through I/O hard wiring and controls the AGV through WLAN wireless communication; numerical control lathes, machining centers and the like in the machining units are connected to the main controllers S7-1500 together through a Profinet communication mode and an I/O communication mode; the stereoscopic warehouse unit is directly controlled by the main controllers S7-1500 through I/O connection; the MES system is connected with the main controllers S7-1500 in a Modbus communication mode, and is introduced into the ERP system in an Ethernet connection mode. All parts are connected and communicated by taking the main controllers S7-1500 as links, and finally the operation of the intelligent factory training system is realized.

Under the guidance of the scheme, an intelligent factory training system is built, an execution layer comprises a storage unit, a processing unit, a welding unit, a logistics unit and an assembly unit, all the units work cooperatively under the management of an ERP system and an MES system to produce speed reducer products, and the specific implementation process is as follows:

Storing raw materials by an intelligent storage unit raw material warehouse;

the AGV logistics unit sends raw material speed reducer parts to the intelligent welding unit, and welding forming of upper and lower end covers of the speed reducer is carried out;

then, the AGV logistics unit sends the raw materials to the intelligent processing unit, the speed reducer parts are output after the AGV logistics unit works through a lathe and a processing center, and the speed reducer parts are continuously transported to the semi-finished product warehouse of the storage unit by the AGV logistics unit;

and finally, conveying the speed reducer parts to an assembly unit by the AGV logistics unit, automatically completing the assembly of the speed reducer, and conveying finished speed reducer products to an intelligent storage unit finished product warehouse by the AGV logistics unit.

in the whole process, the ERP system is used for carrying out comprehensive management such as production scheduling planning and production scheduling, and the MES system is used for distributing and issuing management of tasks.

In an established intelligent factory, as shown in fig. 6, the big data cloud platform obtains an order from the internet, the enterprise management center generates a production plan according to the order, the production management and control center obtains the production plan from the enterprise management center and distributes tasks in the production plan to the execution layer, and the execution layer (the intelligent welding unit, the intelligent processing unit and the intelligent assembling unit) controls the equipment layer to execute the tasks in the production plan. Linking the roles of the respective execution layers in a process in which the logistics unit is generated from the product; the internal local area network (industrial internet) links the big data cloud platform, the enterprise management center, the production management and control center and each execution layer from data.

it will be apparent to those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims and their equivalents, the present invention is also intended to include such modifications and variations.

Claims

1. the utility model provides an intelligent factory training system which characterized in that includes:

The equipment layer comprises terminal equipment, the terminal equipment comprises an AGV, a welding robot, a welding system, an assembling robot, a loading and unloading robot, an automatic conveying line, a seven-axis industrial robot, a numerical control lathe, a numerical control machining center, an industrial communication network, an industrial network master station information acquisition and 3D information real-time display system and is used for implementing production tasks;

the production management and control layer comprises an intelligent manufacturing management system and is used for realizing the distribution of tasks in a production plan;

the enterprise resource management layer comprises an intelligent management system and is used for generating a production plan;

2. the intelligent factory training system according to claim 1, wherein the intelligent welding unit comprises 5 sets of intelligent welding systems, and each set of welding system comprises a welding robot and a welding system.

3. the intelligent factory training system of claim 1, wherein the intelligent assembly unit comprises an automated conveyor line, an assembly robot, and a loading and unloading robot.

4. The intelligent factory training system of claim 1, wherein the intelligent processing unit comprises a numerically controlled processing center, a numerically controlled lathe, a seven-axis industrial robot, and an RFID cache rack.

5. the intelligent factory training system of claim 1, wherein the intelligent logistics unit comprises an AGV and its laser navigation system.

6. The intelligent factory training system according to claim 1, wherein the material warehouse, the semi-finished product warehouse and the finished product warehouse respectively comprise a shelf, a stacker, an automatic control subsystem and a management information subsystem.

7. The intelligent factory training system of claim 1, wherein the 3D real-time display system comprises a 3D control system and a 3D display screen connected to the 3D control system;