KR102219670B1 - System for smart learning factory - Google Patents

Abstract

The present invention relates to a smart learning factory, in which the smart factory is combined with smart learning to smartly configure the learning factory, PLC and PC control, IoT sensors (including temperature, humidity, vibration, power, air pressure), forward/backward / It relates to a smart learning factory system to which sensor control, robot control, process monitoring, data acquisition and analysis, industrial virtual reality system construction, etc., including HAP sensors that can rotate in place, contact sensors, or a combination thereof, are applied.

Description

Smart Learning Factory System {SYSTEM FOR SMART LEARNING FACTORY}

The present invention relates to a smart learning factory, and more specifically, a smart factory combined with smart learning to configure a smart learning factory, PLC and PC control, IoT sensors (including temperature, humidity, vibration, power, air pressure) , A HAP sensor capable of forward/reverse/rotate in place, a sensor control including a contact sensor or a combination thereof, robot control, process monitoring, data acquisition and analysis, and a smart learning factory system to which industrial virtual reality system construction is applied. .

Smart Factory refers to a factory in which the facilities and processes of the factory are intelligently connected to the production network, and all production data and information are shared and utilized in real time, enabling operation for optimized production.

In particular, the CPS (Cyber Physical System)-based smart factory configures a cyber model in which the actual factory is virtualized and is synchronized with the actual factory, and then applies the data collected in real time to the cyber model to perform efficient operation of the manufacturing system. Through this, it is possible to autonomously recognize and respond to changes in conditions such as orders, changes, and equipment failure.

In the present invention, by combining such a smart factory with smart learning, it is intended to smartly construct a learning factory. In other words, it seeks to discover an idea for a specific product, produce a sample that embodies the idea through design, and lead to a smart factory mass-produced at the factory as needed.

Next, the prior art existing in the technical field of the present invention will be briefly described, and then the technical matters that the present invention intends to achieve differentiated from the prior art will be described.

First, U.S. Patent Publication No. 2015-0294045 (2015.10.15) relates to a virtualization modeling device capable of expressing all of the ports, structures, and constraints of a physical system through modeling. do.

In addition, U.S. Patent Application Publication No. 2017-0031663 (2017.02.02.) is for managing various software operating in a cyber physical system, and can manage version change, issue/change event, and the like. This prior art is capable of diagnosing and classifying the dependencies of software artifacts in the software architecture of a complex cyber-physical system, and correlating change events for software artifacts and changes in diagnosed and classified dependencies, and also, complex cyber-physical systems. It can be improved with new functions required according to market demand, and defects that appear during maintenance and maintenance of complex cyberphysical systems can be diagnosed and corrected in relation to categorized dependencies and diagnosed and classified dependencies.

In addition, Korean Patent Publication No. 10-1222051 (2013.01.08.) relates to a data model generation method for a virtual factory and a data model middleware system for a virtual factory, which is a 3D CAD (Computer Aided Design) dependent on independent software. And it is possible to realize integrated virtual manufacturing and virtual operation by integrating virtual factory and virtual operation technology through simulation of three-dimensional CAE (Computer Aided Engineering).

In the prior art, there is no suggestion for a smart learning factory system that combines a smart factory with smart learning to smartly configure a learning factory.

The present invention divides and installs a smart learning factory into a plurality of zones, and transfers products to the transfer robot 300 between the plurality of zones, and PLC and PC control, Internet Of Things (IoT) Sensors (including temperature, humidity, vibration, power, air pressure), HAP sensors capable of forward/reverse/rotate, sensor control including contact sensors or a combination thereof, robot control, process monitoring, data acquisition and analysis, or industrial virtual Apply real system building technology.

The present invention is a process in which raw materials are supplied for a specific product to be assembled, inspected, and packaged to produce a finished product, which was created to solve the above problems. Various PLC control and sensor control applied to smart factories in industrial sites , Robot control, vision, PC control technology, and data acquisition in OPC (Open Platform Communication) UA (Unified Architecture) method to obtain MES (Manufacturing Execution System), CPS (Cyber Physical System), SCADA (Supervisory Control) and Data Acquisition), POP (Point of Production), AR (Augmented Reality), CLOUD, etc.

In addition, by applying PLC to raw materials and finished product warehouses, smart learning factory A-Zone, and B-Zone respectively for system control, communication between heterogeneous types is possible, and the disassembly process station 260 enables control through a PC. It is aimed at.

In addition, the entire system enables process control using PLC system and FNS (Fieldbus Network System), and automatic control practice, industrial network control, and distributed control practice are possible. It also aims to measure temperature, humidity, vibration, power, air pressure, etc. by applying an IoT sensor, and to transmit the measured values through Modbus communication.

A total of 10 or more CCTVs are installed in the entire system in automatic and manual areas to enable continuous recording and video storage management.

By applying elements such as sensors, RFID, and vision systems to acquire material and process data for each process, data can be collected, analyzed, managed, and monitored.

It derives the specifications, models and quantities of sensors to be applied to each process, acquires the processed signals of applied sensors and actuators from the PLC system and PC system, and establishes a DB server for overall data management and analysis to collect data in real time. Is continuously accumulated, and the desired data can be checked if necessary.

The shuttle controller of the smart logistics system has an internal memory, so it is possible to write/read the data of the current location and provide information on the installed product. In addition, 6 or more shuttles are transferred to each of the A-Zone and B-Zone at the same time to enable work.

The smart logistics system and each process station can be separated and combined freely, and various communication cables, power, and air pressure are connected together in a one-touch method, and are designed so that there is no problem in the process flow even if the location of the process station is changed.

For example, if you want to manufacture two products of Tag and Timer in three colors, you must provide raw materials to make this possible, and produce two or three color products in a separate production instruction program. Make instruction possible.

All products must be manufactured in two forms, for shipment of finished products and for recycling, and in the case of recycling, they are automatically disassembled in the pre-packaging process and transferred and loaded back to the raw material warehouse using the mobile robot 400.

For production orders, you can select PUSH, PULL, and TOC (Theory of Constraints) methods, and for the three types of production results, a comparative analysis POP for each process's utilization rate is provided.

Through production status monitoring, it is possible to analyze production forecasting plans and performance through big data, and to analyze cycle time for each process.

In addition, using a cooperative robot, a process in which humans and robots work in collaboration can be applied, and in the case of automatic, manual or semi-automatic, comparative analysis such as productivity and cycle time is possible.

By applying MES (Manufacturing Execution System) optimized to the smart learning factory system, it is possible to use MES core functions such as lot tracking, reconstruction/inventory management, process management, data collection and analysis, etc. Do it.

Using CPS S/W, it provides a digital twin (real-time operation on a monitor and equipment control through smart devices) for the entire system.

In addition, unit processes are individually controlled based on the basic process chart.

The operation principle can be easily grasped for education, it is manufactured sturdily, ensures stable continuous operation, and guarantees the safety of the system and workers against abnormal power cuts.

For electrical safety, grounding is safely configured to protect workers and systems, and exposed metal parts are insulated to prevent electric shock, and noise is (1) Continuous Level: <80 dBA, (2) Instantaneous Level: <120 dBA, (3) The measuring instrument height: 1.5m, measuring distance: 1.0m are satisfied.

In addition, the environment for the smart learning factory can be monitored through the network.

A smart learning factory system according to an embodiment of the present invention includes: an A-Zone smart learning factory connecting a plurality of stations and the plurality of stations with rails; And a B-Zone smart learning factory that connects a plurality of stations and the plurality of stations with a rail, and connects to another rail with a safety zone between the A-Zone and the B-Zone smart factory. Thus, one line is formed between the A-Zone and B-Zone, and the product is transferred by a transfer robot between the A-Zone and B-Zone, and each of the plurality of stations is a one-touch connector type on the line. It is fastened and driven, and it is characterized in that the operator can arbitrarily change the position of each station to configure and drive.

In the A-Zone and B-Zone Smart Learning Factory, a specific shuttle is stopped on the rail of the line so that other shuttles do not wait, and when the shuttle arrives at all stations, the jig is moved to the station. It is possible to change the order of the front and back of the shuttle by securing a separate shuttle waiting section, and a touch panel is attached to the station to work through the touch panel. The status can be monitored and controlled, and when an operator manufactures a user station, it is configured to be able to access the smart factory system.

The smart learning factory system is composed of a monorail type that is transferred to an intelligent shuttle for product production, assembly and logistics processing, and networking, and functions as a smart logistics system, and a controller inside the intelligent shuttle controls acceleration, deceleration and forward monitoring. It has a built-in function, and the shuttle controller has an internal memory, so it is possible to write and read the data of the current location, providing information on the products mounted on the shuttle, and the shuttle includes a plurality of the A-Zone And B-Zone are operated simultaneously, the conveyor of the monorail is distributed and individual operation is possible, and the smart distribution system is operated regardless of the production process of the line.

The conveyor of the monorail and each process station provide a one-touch method in which at least one communication cable, power supply, and pneumatic valve are collectively fastened, so that even if the location of the process station is changed, it can be separated and combined so as not to interfere with the process flow. And, the intelligent shuttle that has finished supplying raw materials to each of the process stations moves to another location and works with a new task, and it is possible to predict the life status of the shuttle through data management on the work history of all shuttles. It characterized in that the intelligent shuttle is stopped at a position where the operator cooperates, and is configured to incline at a predetermined inclination according to the operator's work environment.

The smart learning factory system further includes an Intelligent Routing Module (IRM), performs optical communication with the shuttle, and the IRM controls a track switch installed on the rail in connection with a PLC system and a computer control system, and the IRM, in conjunction with the monorail conveyor, plays a role of assigning IDs, reading IDs, deleting IDs, or a combination of these to each shuttle.The A-Zone and B-Zone Smart Learning Factory can be connected to one another whenever necessary. It is characterized in that it is connected to the line of to enable driving.

Here, the station includes a supply station that automatically receives a pallet of raw materials using the mobile robot to input raw materials, and at the same time performs visual inspection and mounting inspection of the raw materials using vision, and the mobile robot Silver, after the transfer of the raw materials and the appearance inspection of the finished product, separates the original product from the defective product and transfers the pallet that has been discharged, and the station is a one-touch method in which at least one communication cable, power supply, and pneumatic valve are collectively fastened. By providing, it is characterized in that the position can be changed without a separate wiring work.

In addition, the station includes a laser marking and labeling station capable of performing laser marking on the inner surface of the upper and lower case of the raw material, and attaching a label on the upper part to trace the history of the raw material, and when the raw material is received, the finished product through vision inspection The laser marking style is XYZ 3-axis simultaneous scanning method, and the laser marking and labeling station is a one-touch connector fastening method for power, communication, pneumatic valves, or these. All cables including the combination of are automatically fastened so that the location can be changed without separate wiring work.

In addition, the station includes at least two automatic assembly stations, an assembly and bolt fastening station that intelligently inputs materials into the line according to the assembly time, and the assembly and bolt fastening station includes a lower case and a PCB. It includes automatically performing bolt fastening, and bolts are automatically supplied for fastening the bolts, torque measurement is possible when fastening the bolts, data collection and determination of defects, and the assembling and bolt fastening stations, one-touch All cables including power, communication, pneumatic pressure, or a combination thereof are automatically fastened with a connector fastening method so that the location can be changed without separate wiring work, and the thrust and speed for screw driving can be changed, and the assembly and bolt fastening The station is a Z-axis servo (thrust control) ball screw method as a Z-axis descending drive method, and the accuracy is enhanced by mounting an encoder, and the torque, rotational speed, and angle can be controlled, and screws are pinched by horizontal forced feed by vibration. It is characterized by including an automatic assembly station including a screw feeder to minimize the phenomenon.

The present invention configured as described above is a process for producing a finished product by assembling, inspecting, and packaging raw materials for a specific product. It is applied to various PLC control, sensor control, robot control, vision, and PC control applied to smart factories in industrial sites. Acquisition of Korean technology and data acquisition using OPC UA method, MES (Manufacturing Execution System), CPS (Cyber Physical System), SCADA (Supervisory Control and Data Acquisition), POP (Point of Production), AR (Augmented Reality), CLOUD It has the advantage of enabling various application exercises such as.

In addition, by using a plurality of PLCs for system control, each application to raw material and finished product warehouses, smart learning factory A-Zone, and B-Zone has the advantage of enabling heterogeneous communication.In addition, the disassembly process station 260 is There is an advantage that can be controlled.

Various data can be collected, analyzed, managed, and monitored by applying elements such as sensors, RFID, and vision systems for acquisition of material and process data for each process, and the specifications of various sensors applied to each process and It presents the model and quantity, acquires the processed signals of the applied sensors and actuators from multiple PLC systems and PC systems, and establishes a DB server for overall data management and analysis to collect and continuously accumulate data in real time. It has the effect of being able to check the desired data.

1 is a specification of the specification and use of a smart learning factory system according to an embodiment of the present invention.
2 is a diagram showing the configuration of a smart learning factory system according to an embodiment of the present invention.
3 is a diagram showing a layout of a smart learning factory system according to an embodiment of the present invention.
4 is a specification of the specification and usage of A-Zone of a smart learning factory according to an embodiment of the present invention.
5 is a specification of a B-Zone specification and a usage of a smart learning factory according to an embodiment of the present invention.

Hereinafter, various embodiments of the present invention will be described in detail with reference to the accompanying drawings. Specific structural or functional descriptions of the embodiments disclosed in the specification or application of the present invention are exemplified only for the purpose of describing the embodiments according to the present invention, and unless otherwise defined, technical or scientific All terms used in this specification, including terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs. Terms as defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and should not be interpreted as an ideal or excessively formal meaning unless explicitly defined in this specification. No.

1 is a specification of the specification and use of a smart learning factory system according to an embodiment of the present invention.

As shown in Figure 1, all the components of the smart learning factory system construction statement according to the present invention are PLC and PC control, various sensor control, robot control, monitoring, data acquisition and analysis, industrial It is a system to which all technologies such as building a virtual reality system are applied.

Specifically, the Smart Learning Factory A-Zone and the Smart Learning Factory B-Zone are composed of a mobile robot system, production operation system, cyber physics system, OPC UA alc POP (SCADA) system, cloud platform system, augmented reality system. , A digital information display system, a predetermined server system, etc. operate, maintain, and manage a smart learning factory. The detailed roles and operations of each system will be described separately through the following description.

2 is a diagram showing the configuration of a smart learning factory system 10 according to an embodiment of the present invention.

As shown in Figure 2, the smart learning factory system 10 according to the present invention is provided with individual smart learning factories (100, 200) divided into a plurality of zones (zone) and a safety zone existing therebetween, The safety zone is connected by a separate rail 30 so that the transfer robot 300 transfers the product.

In each smart learning factory area, a line integrated with rails and branching devices 20 is formed, and stations are installed in each part of the line to perform assembly or inspection of a specific product. A transfer robot operates between the area and the area, and raw materials supplied to the area are supplied to the mobile robot 400, and are in charge of transporting products for shipment and recycling.

The smart learning factory system 10 of the present invention divides a plurality of smart learning factories into zones, and when each zone is connected by rails, a line consisting of one integrated, larger zone smart learning factory is formed, each zone The transport robot 300 connects the logistics and production processes, and the mobile robot 400 is configured to transport raw materials or products for logistics and production from the outside to the inside and from the inside to the outside in each zone. .

Therefore, the smart learning factory system 10 according to the present invention combines the smart factory with smart learning to smartly configure the learning factory. In other words, it is easy to add or delete a new process, and it is easy to reduce or expand the process to discover an idea for a specific product, to produce a sample that embodies the idea through design, and a smart factory mass-produced at the factory as needed. Learn to lead to.

Hereinafter, a detailed layout of a smart learning factory system according to an embodiment of the present invention and devices provided in each area will be described in detail.

3 is a diagram showing a layout of a smart learning factory system according to an embodiment of the present invention.

As shown in Figure 3, the smart factory system according to an embodiment of the present invention is a process in which raw materials are supplied for a plurality of specific products to be assembled, inspected, and packaged to produce a finished product. Acquisition of technologies for various applied PLC control, sensor control, robot control, vision, and PC control and data acquisition in the OPC UA method to obtain MES (Manufacturing Execution System), CPS (Cyber Physical System), SCADA (Supervisory Control and Data) Acquisition), POP (Point of Production), AR (Augmented Reality), CLOUD, etc.

By using multiple PLCs for system control, it is possible to communicate between different types of raw materials and finished product warehouses, and by applying them to the smart learning factory A-Zone and B-Zone respectively. In addition, the disassembly process station 260 can be controlled through a PC.

The entire system is capable of process control using PLC system and Fieldbus Network System (FNS), and automatic control practice, industrial network control, and distributed control practice are possible. In addition, it measures by applying IoT sensors (temperature, humidity, vibration, power, air pressure, etc.) and transmits the measured values through Modbus communication.

A total of 10 or more CCTVs are installed in the entire system in automatic and manual areas, so that continuous recording and image storage management are possible.

It collects, analyzes, manages, and monitors various data by applying elements such as sensors, RFID, and vision systems to acquire material and process data for each process.

Data in real time by setting the specifications, models and quantities of various sensors to be applied to each process, acquiring the processed signals of applied sensors and actuators from multiple PLC systems and PC systems, and building a DB server for overall data management and analysis. It is collected and continuously accumulated, and desired data can be checked as needed.

The shuttle controller of the smart logistics system has an internal memory, so it is possible to write/read the data of the current location and provide information on the installed product. In addition, for example, 6 or more shuttles are simultaneously transferred to each of the A-Zone and B-Zone and work is possible.

It is desirable to design the smart logistics system and each process station so that they can be separated and combined freely and that there is no problem in the process flow even if the location of the process station is changed in such a way that various communication cables, power, and air pressure are collectively connected in a one-touch method.

If raw materials are provided so that a plurality of specific products can be manufactured with a plurality of specifications, a product with specific specifications can be selected in a separate production instruction program and production order is possible.

All products are manufactured in two forms for shipment of finished products and for recycling, and in the case of recycling, they are automatically disassembled in the pre-packaging process and transferred and loaded back to the raw material warehouse using the mobile robot 400.

The production order should be able to select PUSH, PULL, and TOC methods, and a comparative analysis POP for the utilization rate of each process is provided for the production results of the three methods.

Through monitoring the production status, it is possible to analyze the production prediction plan and performance through big data, and to analyze the cycle time of each process.

By using a cooperative robot, a process in which humans and robots work in collaboration is applied, and in the case of automatic, manual, semi-automatic, comparative analysis such as productivity and cycle time is possible.

It is installed including MES engine and customizing work for this process so that MES core functions such as lot tracking, rework/inventory management, process management, data collection and analysis can be used by applying MES optimized to the smart learning factory system. .

Using CPS S/W, it provides digital twin (real-time operation implementation on a monitor and equipment control through smart devices) for the entire system.

Unit processes are individually controlled based on the basic process chart, and the improved process and detailed components and specifications for each process can be efficiently presented by referring to the basic process chart. The above presentation is 2D/3D drawings (CAD files and prints), smart logistics system process scenario block diagram, smart logistics system 2D/3D drawings for each process (front view, side view, etc., detailed dimensions notation), Smart Learning Factory A- Zone, B-Zone 2D/3D drawings for each station (front view, side view, etc., detailed dimensions indicated), and lab layout 2D/3D drawings (front view, side view, etc., detailed dimensions indicated).

The drawing includes a production information and management GUI using MES, a facility monitoring view GUI, a CPS implementation GUI using a PLM (Product Life Management), a digital information display (DID) transmission GUI, and the like.

The principle of operation can be easily grasped to be suitable for education, it must be made sturdily, and it must ensure stable continuous operation, with MTBF (Mean Time Between Failures) of 30 days or more.

It guarantees the safety of the system and workers against abnormal power cut. To this end, the computer device uses a UPS device to protect the system and data, and to ensure the safety of workers against emergency shutdown.

On the other hand, for electrical safety, grounding is safely configured to protect workers and systems, and exposed metal parts are insulated to prevent electric shock.

Noise is based on (1) Continuous Level: <80 dBA, (2) Instantaneous Level: <120 dBA, (3) Height of measuring instrument: 1.5m, Measuring distance: 1.0m.

The environment for the smart learning factory can be monitored through the network. The measurement targets are temperature, humidity, voltage, vibration, air pressure, etc., and the measurement cycle is 1 time/sec or more.

4 is a specification of the specification and use of the A-Zone of the smart learning factory according to an embodiment of the present invention.

Hereinafter, the smart learning factory A-Zone of FIG. 3 will be described in detail based on the specifications of the A-Zone of FIG. 4.

Smart Learning Factory A-Zone and B-Zone must be operated separately in normal times, and if necessary, it is possible to operate as a single line by connecting the rail between A-Zone and B-Zone. In addition, a safety zone between A-Zone and B-Zone is configured so that there is no safety problem when a worker or an outsider enters the system.

Raw material warehouse storage capacity, for example, should be able to store a total of 1,400 raw materials of 100 of each of 3 types of product cases (upper/lower), and transfer to a conveyor belt using a 4-axis stacker crane when required materials are released according to production instructions. And this allows the mobile robot 400 to be transferred to the aligner station 180.

The whole process can consist of, for example, 10 or more stations, and each station must be able to be connected to the smart logistics system line in a one-touch connector type to be driven, and there is no problem in operation even if the user arbitrarily changes the location. .

Smart Logistics System The shuttle stops on the rail so that other shuttles do not wait. When the shuttle arrives at all stations, the jig is moved to the station and the operation is carried out, and the shuttle is immediately moved to another process. By securing a separate shuttle waiting section, it is possible to change the order of the shuttle. All stations are equipped with a touch panel of 10 inches or more to enable monitoring and control of work status, and when learners manufacture user stations 140 and 240, they can access the smart factory system.

In addition, the smart logistics system consists of a monorail-type smart logistics system that is transported by an intelligent shuttle for production, assembly logistics, and networking. Inside the shuttle, the controller has built-in acceleration, deceleration control and forward monitoring functions. The shuttle controller has an internal memory, so it can write/read the data of the current location and provide information on the installed product. Six or more of the shuttles operate simultaneously in the smart logistics system A-Zone. Monorail conveyors are distributed and can be operated individually, and the distribution system operates regardless of the production process of the line.

The monorail conveyor and each process station are freely separated and combined, and various communication cables, power, and air pressure are collectively fastened in a one-touch manner, so that there is no problem in the process flow even if the location of the process station is changed. The intelligent shuttle that supplied raw materials to each process station moves to another location, works with a new task, and predicts the life of the shuttle through data management on the work history of all shuttles. The shuttle must stop at the location where the worker collaborates, and it is inclined 15-20 degrees, which helps the worker's work environment.

IRM (Intelligent Routing Module) is attached to communicate with the shuttle. IRM controls a track switch, etc. in connection with a PLC system and a computer control system. IRM is linked to the monorail conveyor to assign IDs to each shuttle, read IDs, and delete IDs. A-Zone and B-Zone can be connected whenever necessary, and two lines can be connected as one to be driven. Here, the track switch is a switch installed on the rail to control the shuttle moving or stopping on the rail.

When the raw material pallet is automatically supplied using the mobile robot 400, the raw material is input, and the appearance inspection and the PCB mounting inspection of the raw material are performed using vision. Vision cameras are composed of products with more than 2 million pixels, and necessary lighting devices are attached. Raw material inspection and transfer is composed of SCARA robots and products within the effective range of transfer 800 mm (31.5 "). After visual inspection, normal and defective products are separated and discharged, and the storage capacity for each part is determined by the supply station. A total of 80 are stored for 10 cases (top/bottom) and 10 PCB products each. The pallets that have been shipped are returned and processed by the mobile robot 400, and the supply station is a one-touch connector fastening method to the distribution system. All cables, such as pneumatic pressure, are automatically connected so that the location can be changed without additional wiring work.

In the laser marking and labeling stations 220 and 250, laser marking is performed on the inner surface of the upper/lower case of the raw material, and label paper is attached to the upper part of the PCB board to track the raw material history. When raw materials are received, vision inspection should be conducted to determine whether the finished product is for assembly or recycling, and the subsequent work must be carried out, and the laser marking style has a simultaneous X-Y-Z 3-axis scanning method. The laser marking and labeling station 250 is a one-touch connector fastening method to the distribution system, and all cables such as power, communication, and pneumatic pressure are automatically fastened so that the location can be changed without additional wiring work.

The assembly and bolting stations 120 and 130 consist of at least two automatic assembly stations 120 or 130, and materials are intelligently put into the line according to the assembly time. The bolts between the lower case and the PCB are automatically fastened, and the bolts must be supplied automatically to fasten the bolts, and when fastening the bolts, torque measurement is possible, data collection and determination of defects. The automatic assembly station (120 or 130) is a one-touch connector fastening method to the distribution system, and all cables such as power, communication, and pneumatic pressure are automatically fastened so that the location can be changed without additional wiring work. The automatic bolt assembly system can change the thrust and speed for screw drive, and the automatic bolt assembly system is a Z-axis servo (thrust control) ball screw method as a Z-axis descending drive method. The automatic bolt assembly system should enhance precision by installing an encoder, and can control torque, rotational speed, and angle. The screw feeder of the automatic bolt assembly system minimizes screw pinching by horizontal forced feed by vibration.

For manual assembly and bolting stations (120, 130), when assembly is being carried out at the automatic assembly station (120 or 130), if the manufacturer's manual assembly instruction is given, the raw materials assigned to the production of the automatic assembly station are manually assembled. (120 or 130) is automatically assigned. It is possible to monitor the torque value of a manual drill for workers, and in the case of an automatic drill operation, it is possible to analyze the torque value during automatic/manual drilling by providing a torque value and a comparison graph. By applying VR goggles and AR, the operator can easily work according to the work guide, and the smart logistics system shuttle at the operator's location is equipped with a tilt function.

The assembly inspection station 150 performs a product linear inspection with an LVDT (Linear Variable Differential Transformer) inspection system to inspect bolt assembly lift that may occur during automatic assembly or manual assembly. Visual inspection such as laser marking is performed using vision, and the assembly inspection station 150 is a one-touch connector connection method to the distribution system, and all cables such as power, communication, and pneumatic pressure are automatically connected so that the location can be changed without additional wiring work. .

The upper case assembly station 160 assembles the upper case by using a cooperative robot when the jig in which the lower case and the PCB are assembled arrives. The upper case assembly station 160 is a one-touch connector fastening method to the distribution system, and all cables such as power, communication, and pneumatic pressure are automatically fastened so that the location can be changed without additional wiring work.

With respect to the defective product discharging station 170, the normal product must be bypassed, and the defective product is discharged from the position where the defective product discharging bin is located. Discharge according to the data analysis of the assembly inspection station 150. Defective inspection data stores defective product information on the shuttle through IRM.

The smart logistics system shuttle arrives at the automatic mode station 230. The shuttle product is transferred to the finished product buffer 230 through a jig capable of 3-axis motion (3-axis jig), and an empty pallet is sent to the jig supply station. The finished product is transferred by entering the grip system on the 3-axis jig. The finished product buffer station 230 is a one-touch connector fastening method to the distribution system, and all cables such as power, communication, and pneumatic pressure are automatically fastened so that the location can be changed without additional wiring work. According to the B-Zone scheduler, the finished product is transferred using a collaborative robot and a gantry system.

Hereinafter, the smart logistics system A-Zone, B-Zone transfer robot 300 will be described.

The product in the A-Zone finished product buffer 230 is transferred to the B-Zone track using an articulated robot grip system. The articulated robot must be attached to the gantry system between the A-Zone track and the B-Zone track, and the product must be held with a grip when transferring. Automatic door-type rails are applied between A-Zone and B-Zone so that A-Zone and B-Zone can be connected with one rail when necessary, and the gantry system transfer section and A-Zone, B-Zone Safety technology is applied to the inter-section, so each equipment must be stopped in an emergency when a person approaches. In addition, safety of workers is considered by double monitoring of the safety zone using Safety Light Curtain Sensor and infrared sensor. A safety-related emergency switch must be installed in the transfer section of the gantry system so that the operator can forcibly stop it, and when there is no abnormality in safety, the automatic mode can be switched according to the operator's instruction.

For the jig supply station, it is transferred after the jig is placed on the shuttle at the jig supply station according to the kind of raw materials shipped from the alignment and supply station. In the magazine storage box, Type1 (A product jig) & Type2 (B product jig) & Type3 (A/B product mixed mounting jig) must be mounted and supplied by type according to the production instructions. If production of one type of product continues, type 3 (A/B product mixed mounting jig) is introduced to ensure smooth mass production. With a one-touch connector connection method to the jig change station distribution system, all cables such as power, communication, and pneumatic pressure are automatically connected so that the location can be changed without additional wiring work.

5 is a specification of a B-Zone specification and a usage of a smart learning factory according to an embodiment of the present invention.

Smart Learning Factory A-Zone and B-Zone should be operated separately in normal times, and if necessary, connecting rails between A-Zone and B-Zone will operate as a single line. In addition, it is a system that includes a safety device so that there is no problem in safety when an operator or an outsider enters by configuring a safety zone between A-Zone and B-Zone.

The finished products that have been packaged are loaded on the pallet by type/color, and must be transferred to the finished product warehouse using the mobile robot 400. The finished product warehouse is organized so that more than 30 pallets for each product can be loaded. When the upper system receives the order to release the finished product, the finished product warehouse transmits the product inventory status information to the upper system and transmits information on whether to order product production or to release inventory. The entire process should consist of 7 or more stations, and each station should be able to be operated by fastening it to the lane of the smart logistics system in a one-touch connector type, and there should be no problem in operation even if the user configures it by changing the location arbitrarily. Smart logistics system The case that the shuttle is stopped on the rail and other shuttles wait should not occur, and when the shuttle arrives at all stations, the jig must be moved to the station and then the work must be carried out, and the shuttle must be moved to another process immediately. A separate shuttle waiting section must be secured so that the order of the front and rear of the shuttle can be changed. Every station should have a touch panel of 10 inches or larger to enable monitoring and control of working conditions. When a learner creates a user station, it must be able to access the smart factory system.

The smart logistics system according to the present invention is a monorail type logistics system that is transferred by an intelligent shuttle for production, assembly logistics, and networking. Inside the shuttle, the controller has built-in acceleration, deceleration control and forward monitoring functions. The shuttle controller has an internal memory, so it can write/read the data of the current location and provide information on the installed product. Shuttles must operate in at least 6 smart logistics systems B-Zone. Monorail conveyors must be distributed and individually operated, and the distribution system must operate regardless of the production process of the line. After the labeling station 250 process, the product for packaging and shipment using a lift must be transported to the second-floor rail, and the product for recycling must be transported in two separate shuttles to the first-floor rail. The monorail conveyor and each process station are freely separated and combined, and various communication cables, power and pneumatic pressure are connected together in a one-touch method, so that even if the location of the process station is changed, the process flow should be manufactured so that there is no problem. The intelligent shuttle that supplied raw materials to each process station must move to another location and be assigned a new task to work.

The shuttle at the location where the operator collaborates is equipped with a tilt function, and is designed to help the operator's work environment by tilting 15-20 degrees. It is further equipped with IRM (Intelligent Routing Module) to communicate with the shuttle. IRM controls track switches and the like by interlocking with PLC systems and computer control systems. IRM is linked with the smart logistics system to assign IDs, read IDs, and delete IDs to each shuttle.

As can be seen with reference to FIG. 3, the A-Zone and the B-Zone are manufactured to be connected at any time when necessary so that two lines are connected to one to be driven.

The magazine storage box is equipped with Type1 (A product jig) & Type2 (B product jig) & Type3 (A/B product mixed mounting jig), and is supplied by type according to the production instructions. If production of one type of product continues, type 3 (A/B product mixed mounting jig) is introduced to ensure smooth mass production. According to the transfer information of the A-Zone finished product buffer station 230, the jig of the transferred product is taken out. The jig conveyed from the packing station 270 or the disassembling station 260 is again stored in the jig buffer and waits until the next transfer information instruction is given. All cables such as power, communication, and pneumatic valves are automatically connected to the finished product jig station distribution system with a one-touch connector connection method, allowing location change without additional wiring work.

In the laser marking station 220, laser marking is performed on the upper/lower case of the raw material so that the raw material history can be traced. User Text, ID, Bar-code, etc. can be printed on the upper part of the product case, and a user-defined logo can be specified and printed on the lower part. In the laser marking station 220, the product may be rotated using a rotation unit for marking under the case so that the product is positioned on the print sensor. The laser marking style has an X-Y-Z 3-axis simultaneous scanning method. The laser marking station 220 is a one-touch connector fastening method to the distribution system, and all cables such as power, communication, and pneumatic pressure are automatically fastened so that the location can be changed without separate wiring work.

In the vision/function test station 210, during the function test, the product may be shaken up, down, left, and right by using a collaborative robot to test the operation state of the product. For functional inspection of the product, communication test inspection by Bluetooth communication can be performed. The vision inspection of the product can distinguish the appearance and scratches caused by product damage, and the upper and lower laser marking status can be checked using a collaborative robot. The inspection result data is sent directly to the upper system, and when transferred to the defective discharge station, the result data is displayed and transmitted to the operator in an easy-to-understand manner. The vision & function inspection station is a one-touch connector connection method to the distribution system, and all cables such as power, communication, and pneumatic pressure are automatically connected, so that the location can be changed without additional wiring work.

The results of automatic assembly and manual assembly are analyzed and discharged. At this time, the defective article inspection data may store defective article information in the shuttle through the IRM. A good product bypasses the bad discharge station. The station has two or more jig fixing spaces for work, so when the shuttle arrives after work is completed, the jig is put down on the station and the finished jig can be put on the shuttle.

If there is an operator in the defective article discharging station 170, if there is an operator's manual inspection instruction, in the case of defective article, the shuttle is stopped in front of the operator, and the operator lowers the jig and mounts it on the hand workbench, performs a function test, and then shuttles the jig again To be able to send to. By applying VR goggles and AR, the operator can recognize which product is defective among the jigwi products, and make it possible to easily perform functional inspection according to the work guide. The smart logistics system shuttle at the operator's location is equipped with a tilt function and is designed to help the operator's work environment with a 15-20 degree inclination. With a one-touch connector connection method to the distribution system of the defective discharge station, all cables such as power, communication, and pneumatic pressure are automatically connected so that the location can be changed without additional wiring work.

A barcode and a label on which a QR code can be distinguished by the labeling station 250 are attached to the product identified as a finished product by the vision/function inspection station 210. The label paper printout should be printed with the contents specified by the system operator. Labeled products are sent and transported to the packaging station 270. The disassembled product passes the labeling station 250. The labeling station 250 is a one-touch connector fastening method to the distribution system, and all cables such as power, communication, and pneumatic pressure are automatically fastened so that the location can be changed without separate wiring work.

The packing station 270 has two or more jig fixing spaces for work, so that when the shuttle arrives after the work is completed, the jig is put down on the station and the finished jig can be put on the shuttle. Empty shuttles are transferred to a shuttle station to enable work waiting. The finished product transferred to the packaging station 270 is placed on a packaging paper that is automatically supplied using a horizontal multi-joint robot (delta), and the PET packaging paper manufactured according to the shape of the product is transported and covered. For certain products, it is possible to separate the battery from the product and package it. When the PET mold wrapper is covered with the product, the paper wrapper and the PET mold wrapper can be adhered using an adhesive unit. The packaged finished product is transferred to the finished product warehouse using the mobile robot 400. When the product is transferred from the packaging station 270 to the finished product warehouse, product information (type, color, quantity) is sent to the finished product warehouse. The packing station 270 is a one-touch connector fastening method to the distribution system, and all cables such as power, communication, and pneumatic pressure are automatically fastened so that the location can be changed without additional wiring work.

Blister packing includes a mechanical drive method by a cap method, a flat-type adhesive structure by pressing the upper and lower plates, a thermoforming method, and a packing method suitable for quick and easy mold replacement.

The disassembly station 260 is constructed as a real-time control system using a PC to enable system control using various PC programs. The station has two or more jig fixing spaces for work, so when the shuttle arrives after work is completed, the jig is put down on the station and the finished jig can be put on the shuttle. In the disassembly process, the type and condition of the product can be identified through vision inspection. The disassembly process should be carried out in collaboration with the worker, and when there is no worker, the disassembly process should be carried out as an automated process. A collaborative robot equipped with a grip system enables disassembly work in collaboration with the operator, and by applying VR goggles and AR, the operator can easily disassemble according to the work guide. Disassembled products are transferred through a 3-axis server jig and conveyor. The disassembly station 260 is a one-touch connector fastening method to the distribution system, and all cables such as power, communication, and pneumatic pressure are automatically fastened so that the location can be changed without additional wiring work. Bolts can be removed using a 3-axis server jig for bolt fastener control. The automatic bolt disassembly system can change the thrust and speed for driving the screw. In the automatic bolt disassembly system, the Z-axis servo (thrust control) ball screw method is preferred as the Z-axis descending driving method. The automatic bolt disassembly system enhances precision by installing an encoder, and allows you to control torque, rotation, and angle. Classify the color on the parts palette by using the upper/lower case and PCB sorting device for each product. Parts storage can be classified as a 3-axis server robot. Parts that have been classified are transferred to a raw material warehouse using the mobile robot 400, and when the parts are stored in the raw material warehouse, parts for disassembly are classified and stored.

Hereinafter, the mobile robot 400 (Mobile Robot) will be described.

The mobile robot 400 must be a HAP sensor-based driving method capable of forward/reverse/rotate in place. When an obstacle appears by using the front and rear sensors, it automatically stops and enables re-run. In particular, it is desirable to be a product that does not cause a safety accident due to a collision with an operator. Use a controller to make it work with the on-board system. It optimizes with the process system to enable process control. Using Enterprise Management, it is possible to simultaneously control and monitor the mobile robots 400, and control traffic through simultaneous control of a plurality of mobile robots 400 and communication between adjacent robots. The battery of the mobile robot 400 must be charged efficiently, and the battery state is shared with the smart learning factory system. It is possible to maintain and manage task traffic by sharing information between the mobile robots 400. The mobile robot 400 performs a transfer operation using a stacker crane structure. Transfer the stored finished product using a clamp-type structure. It should be a front and rear drive system using the stacker crane structure in the front and the clamp structure in the rear. A data communication method of a smart factory using a mobile robot 400 controller and a loading vehicle system and WiFi is preferable. Using a robotic system, pallets are shipped from the raw material warehouse and supplied to the sorting and supplying station. During assembly, defective products are collected and finished products are packaged before shipment and transported to the finished product storage warehouse. In addition, each part disassembled in the disassembly process station 260 is transferred back to the raw material warehouse.

The loading car system enables communication and interlocking control of data with the smart learning factory system. Stored material transfer/supply process input/finished product warehouse transfer in warehouse is possible. More than 14 types of materials can be transferred from the material warehouse using a conveyor mounted on the mobile robot 400, and two or more pallets can be simultaneously transferred using a conveyor and a stopper. Data communication using the integrated control system and WiFi, data sharing and control of location information and work information are possible, and when implementing the equipment of the smart learning factory system, when people and obstacles occur, the collision prevention system is automatically avoided and corrected. Attached.

The conveyor system is a conveyor belt type, and the driving method is composed of a DC motor and a reducer attachment type. Sensors and stoppers are configured so that two or more pallets can be transferred at the same time. The sensor and the driving motor can be operated using I/O provided by the mobile robot 400.

The following describes the raw material set.

Raw materials for specific products must be supplied, and the upper case, lower case, and packaging case of each product are provided as injection products. For example, the Timer is a regular hexagonal shape, displays numbers on each side, and LED lights are built into the inside so that the lights must be turned on. In addition, the product must be shaken to set the time, the alarm must sound according to the specified mobile phone and distance, and the app must be provided to enable various settings through the mobile phone app. In addition, the tag must be made in an oval or polygonal shape, and an alarm sounds according to the specified distance from the mobile phone, and various settings are provided through the mobile phone app. A battery must be provided for certain products, and low-power products are used for components in the PCB to minimize battery consumption. It also includes a battery charging function for certain products.

The following describes the production operation system (MES/Manufacturing Execution System).

Products can be ordered through web and mobile apps, and the process from order to delivery can be monitored and visualized. It is possible to manage all production activities from product order to quality inspection management of finished products. Production performance, product management, facility utilization rate, and product quality information for the site are available. Lot management for product history is possible. Collected data can be aggregated/analyzed/monitored. It is configured so that data can be acquired and analyzed using a server. It is possible to manage user, user group, and user-specific standard information. Daily/monthly production performance can be searched through the report by process/product. By building a system on the server and issuing a license so that users can access and use anytime without restrictions, users can use them without being restricted by time or place.

The system management function consists of multilingual functions (Korean and English support available), user authority management, system performance management, and alarm management. The production progress management function consists of setting manufacturing standard information and managing work standards. The barcode label management function consists of barcode ID management and barcode ID definition functions.

Production management functions include production plan uploading, production progress management, production history management, and production status inquiry functions. Material management functions include material receipt/transfer/outgoing, material lot status/history inquiry, and material lot inquiry function for each warehouse. Quality control functions include measurement data collection, process quality, and shipment inspection functions. Facility management functions include facility status management, facility failure management, and facility data inquiry functions.

The user information/authority management function registers and manages users, user groups, and usage screens, so that users are assigned to user groups with basic information such as user group, e-mail, and name, so that different screens can be used for each user group. do.

The alarm management function enables delivery of alarm messages for various notifications that occur during product production. Alarm can be delivered through text message or user E-mail. The code management function enables various codes used in the program. Code management such as defective codes, rework reason codes, reserved codes, and lot types is possible.

The system performance management function is a function to analyze the performance of the system, so that service performance can be inquired and the overall performance can be stably maintained. The standard information management function standardizes the master information required for the process by type and is systematically systemized and managed so that it can be connected organically.

The product management function should be able to be defined through the screen for management of standard information about the product, and detailed items can be managed through pages divided into general/attribute/group setting/user-defined fields. The work order management function can register work orders by creating work orders and uploading them to the program.

Production progress and production management functions can generate daily/monthly production daily reports based on the performance entered at the production site, and production performance can be viewed through reports for each process/product. The process management function enables processing and tracking by work order/lot/product/process, etc., and management of the lot status change history. The history management function enables tracking of all manufacturing history from creation to shipment for products that have undergone a process, and can manage facility history and measurement data generated along with the manufacturing history.

The material management function should be able to manage the materials required for production, and the properties of the material can be defined through the screen. The quality data function can be automatically collected by an operator directly inputting quality data generated during production through a screen or by interfacing with the facility. The quality data analysis function can display the change trend of the collected quality data through a chart.

The facility management function can manage the connection information of the facility entered along with the lot performance and the history of events occurring in the facility. In addition, a standard web report function is provided. It includes the ability to provide various types of reports related to work orders, production, quality and equipment. It includes the function of providing its own report using MS EXCEL.

Next, a cyber physical system will be described.

It enables 3D-based process planning/design and process/line verification simulation practice. It should be possible to implement a digital twin of a facility linked to PLC and PC, and 3D virtual trial operation practice is possible. 3D visualization can be performed by applying a reliable 3D model format registered as an ISO standard format, and can be linked with the OPC UA server. By configuring the Bill of Process (BOP), you can organize the process and plan the construction method. It should be possible to define the kinematics of equipment and equipment, and to implement the operation. By defining the kinematics of an articulated robot, the properties of the robot can be defined, and robot motion simulation can be performed. Virtual sensor (proximity/light) can be implemented, and 3D Layout composition and review are possible. You can configure and review the sequence of operations for the line. It is possible to review the 3D section of the equipment and check/review the collision. It is possible to measure the dimensions of 3D objects. 3D Point Cloud-based 3D Plant Layout can be implemented/reviewed. You can review and verify the 3D assembly/disassembly of equipment. Smart Learning Factory A-Zone, B-Zone Digital Twin engineering for the entire process is included so that virtual equipment identical to actual equipment operates in the same manner using data obtained through OPC UA.

OPC UA and POP (SCADA) systems acquire all data of sensors and actuators in the OPC UA method through the controller installed in each process, and can be used in various ways such as management, monitoring, and analysis using POP and SCADA.

Next, the Cloud Platform System will be described by dividing into two of Cloud Platforms 1 and 2.

Cloud Platform 1 allows you to quickly and easily connect various industrial machines and automation systems using different communication protocols. Data collected from the smart learning factory system can be uploaded to the cloud, and data analysis, including predictive diagnosis of facilities, can be performed using various applications provided on the cloud platform, and data analysis samples of the smart learning factory system using this cloud Proceed and provide work. A gateway is provided to enable data collection through standard industry protocols. Always update to the latest version by using software update management function. The usage rights and the amount of data should be granted for a predetermined period. The gateway is used to collect the information of each facility, and the encrypted data is transmitted to the cloud through the secure Internet. Through the open interface, the open interface-based cloud can be directly connected to collect data without going through a gateway, as long as it is a protocol that can apply communication standards such as OPC UA or Modbus. A dashboard and visual analyzer are provided, including summary information. Here, the gateway is a device that collects data using various protocols and transmits it to the cloud, which supports data transmission through a secure internet connection so that cloud-based applications and services can be used. It is possible to collect all data sources that can be provided through the OPC UA server. Depending on the configuration, up to 32 PLCs can be connected, and data collected from the PLC is transmitted to the cloud as encrypted information through the secure Internet.

Cloud Platform 2 allows quick and easy connection of various industrial machines and automation systems using different communication protocols. Data collected from the smart learning factory system can be uploaded to the cloud, and data analysis, including predictive diagnosis of facilities, can be performed using various applications provided on the cloud platform, and data analysis samples of the smart learning factory system using this cloud Proceed and provide work. Usage rights and data amounts corresponding to a predetermined period are granted. It supports productivity from mobile DevOps to serverless computing, and builds the way you want using existing tools and open source technologies. The cloud platform supports various operating systems, programming languages, frameworks, databases and devices. It must be able to build and deploy anywhere with a hybrid cloud, and connect to data and apps in the cloud and on-premises to maximize portability and the value of existing investments. It also provides hybrid consistency across application development, management and security, identity management, and data platforms. Data-driven intelligent apps can be created, using data services and artificial intelligence from image recognition to bot services to create a new scalable environment and support real-time analysis, deep learning, and HPC simulations of data of all shapes and sizes. Through a dashboard with status summary information, all resources can be viewed centrally, and threats can be detected and mitigated.

Engineering is included to allow easy work while receiving work guidance in the screen of smart glasses when the smart learning factory system is manually operated using the Augmented Reality System. Engineering is included so that mobile devices (such as smartphones or tabs) and smart glasses can recognize devices of interest and view various real-time information about the devices on the screen. The range of interest can be set for the entire process, for each station, and for each device. Real-time information types require production information, process status, and operation status. All data in the smart glass screen is provided by WiFi through the OPC UA server.

The Digital Information Display System is configured so that motion videos and various contents of the smart learning factory system are linked and played. The system is composed of at least 6 multi-displays and can be implemented in various forms depending on the configuration of distribution as a single type display or a complex type display. Each system is configured with a display of about 56 inches or more. The system ensures stable operation even in unsafe environments (long operating hours, high temperature and humidity, inflow of foreign substances, etc.). Using this system, it is possible to transmit various screens such as POP, MES, and CPS.

Server & Storage System consists of MES Server, OPC Server, CPS Server, and Server Rack. The MES server installs the MES engine and ensures that there is no problem in accessing and using the client PC in the campus network. Various production information data can be received from OPC Server and analyzed and predicted. OPC Server installs OPC UA Server, acquires data of each facility, and saves it as log file and database. Various application programs such as MES, CPS, POP, SCADA, AR, etc. can connect to this servo and receive necessary data.

CPS Server installs a program for implementing CPS and Digital Twin, and receives status information data of various production facilities from OPC Server so that there is no problem in Digital Twin implementation.

As described above, a preferred embodiment according to the present invention has been described above, but the technical idea of the present invention is not limited thereto, and each component of the present invention is modified within the scope of the present invention in order to achieve the same object and effect. It could be modified.

In addition, although the preferred embodiments of the present invention have been illustrated and described above, the present invention is not limited to the specific embodiments described above, and the present invention is not departing from the gist of the present invention claimed in the claims. Various modifications may be possible by those of ordinary skill in the art, and these modifications should not be individually understood from the technical spirit or prospect of the present invention.

10: Smart Learning Factory System 100: Smart Learning Factory A-Zone
20: branch device 30: rail
200: Smart Learning Factory B-Zone 110: ID Reader/Marker
120, 130: assembly and bolting station (manual or automatic)
140, 240: user station 150: assembly inspection station
160: upper case assembly station 170: defective item taking out station
210: vision/function inspection station 220: laser marking station
230: finished product buffer station 250: labeling station
260: cracking process station 270: packing and shipping station
300: transfer robot 400: mobile robot

Claims (8)

A-Zone smart learning factory connecting a plurality of stations and the plurality of stations by rail; And
Includes; B-Zone smart learning factory for connecting a plurality of stations and the plurality of stations by rail,
A safety zone is placed between the A-Zone and the B-Zone smart learning factory and connected by another rail, so that one line is formed between the A-Zone and the B-Zone, and the A-Zone and The product is transferred by a transfer robot between the B-Zones,
Each of the plurality of stations is driven by fastening to the line in a one-touch connector type, and the operator arbitrarily changes the position of each station to configure and drive,
The station automatically receives a pallet of raw materials using a mobile robot to allow raw materials to be input, and includes a supply station for performing visual inspection and mounting inspection on the raw materials using vision,
The mobile robot, after performing the transfer of the raw materials and inspection of the appearance of the finished product, separates the original product from the defective product, and transfers the discharged pallet,
The supply station provides a one-touch method in which at least one communication cable, a power supply, and a pneumatic valve are collectively fastened, so that the position can be changed without a separate wiring work. The method according to claim 1,
In the A-Zone and B-Zone Smart Learning Factory above,
A specific shuttle is stopped on the rail of the line so that other shuttles do not wait, and when the shuttle arrives at all stations, the jig is moved to the station and then the work is performed, and the shuttle is immediately moved to another process.
It includes changing the order of the front and back of the shuttle by securing a separate shuttle waiting section,
A touch panel is attached to the station and includes monitoring and controlling a working state through the touch panel,
When an operator manufactures a user station, a smart learning factory system, characterized in that it is configured to enable access to the smart learning factory system. The method according to claim 1,
The smart learning factory system,
It further includes performing the function of a smart logistics system consisting of a monorail type transported by a shuttle for product production, assembly logistics processing, and networking,
There is a built-in controller that performs acceleration, deceleration control and forward monitoring functions inside the shuttle,
The controller has an internal memory to write and read data of the current location, and provides information on products mounted on the shuttle,
A plurality of the shuttles operate simultaneously in the A-Zone and B-Zone, and the conveyor of the monorail is distributed and individually operated,
Smart learning factory system, characterized in that the smart logistics system operates regardless of the production process of the line. The method of claim 3,
The monorail conveyor and each process station provide a one-touch method in which at least one communication cable, power supply, and pneumatic valve are collectively fastened, so that even if the location of the process station is changed, it includes separation and coupling so as not to interfere with the process flow. And
The shuttle, which has finished supplying raw materials to each of the process stations, moves to another location and is assigned a new task to work, and it is possible to predict the life status of the shuttle through data management on the work history of all shuttles. Smart learning factory system, characterized in that the shuttle is configured to be inclined at a predetermined inclination according to the operator's work environment, the shuttle is stopped at a position in cooperation with. The method according to claim 1,
The smart learning factory system,
It further includes IRM (Intelligent Routing Module),
It performs optical communication with the shuttle, and the IRM controls a track switch installed on the rail in connection with a PLC system and a computer control system,
The IRM serves to assign IDs, read IDs, delete IDs, or a combination of these to each shuttle by interlocking with the monorail conveyor. A smart learning factory system comprising connecting at any time and being connected to one line to drive. delete The method according to claim 1,
The station includes a laser marking and labeling station capable of performing a laser marking on the inner surface of the upper and lower case of the raw material, and attaching a label on the upper part, and tracking the history of the raw material,
When the above raw materials are received, the work is performed after determining whether the finished product is for assembly or recycling through vision inspection, and the laser marking style is an XYZ 3-axis simultaneous scanning method,
The laser marking and labeling station comprises a one-touch connector fastening method, in which all cables including power, communication, pneumatic valves, or combinations thereof are automatically fastened so that the location can be changed without separate wiring work. Smart Learning Factory System.
The method according to claim 1,
The station includes at least two automatic assembly stations and includes an assembly and bolt fastening station for intelligently putting materials into the line according to the assembly time,
The assembly and bolt fastening station includes automatically fastening bolts between the lower case and the PCB, and bolts are automatically supplied for fastening the bolts, and when fastening the bolts, torque measurement is possible, and data collection and failure To judge,
The assembly and bolt fastening station includes a one-touch connector fastening method in which all cables including power, communication, pneumatic valves, or combinations thereof are automatically fastened so that the position can be changed without separate wiring work, and thrust for driving a screw And changing the speed,
The assembly and bolt fastening station is a Z-axis servo (thrust control) ball screw method as a Z-axis descending driving method, and enhances precision by mounting an encoder, and includes controlling torque, rotational speed, angle, or a combination thereof. , Smart running factory system, characterized in that it comprises an automatic assembly station including a screw feeder that minimizes the screw pinching phenomenon by horizontal forced transport by vibration.

Images