Intelligent Assistive Manual Station in Smart Factory: Developed an Intelligent Manual Station for the LEGO Smart Factory Demonstrator under MADE Digital WP5.4
Translated title
Intelligent Assistive Manual Station in Smart Factory
Author
Agarwal, Tushar
Term
4. term
Education
Publication year
2019
Pages
104
Abstract
For at tilbyde kunderne personligt tilpassede produkter kræver produktionen fleksible og tilpasningsdygtige fabrikker med gennemsigtighed, interoperabilitet og mulighed for autonomt samspil mellem maskiner via kommunikation og dataudveksling. MADE giver en platform for forskning i Industri 4.0 og smarte fabrikker. Som en del af MADE Digital WP5.4, og i samarbejde med LEGO Group, er der udviklet et fysisk smart‑fabrik‑setup med fire komponenter: en tællemaskine, et cyber‑fysisk fabrikssetup (der kobler fysisk udstyr og digitale systemer), en fleksibel robot og en manuel station. Denne afhandling fokuserer på den smarte, assisterende manuelle station. Den modtager produktionsordrer fra MES (Manufacturing Execution System – et system, der styrer og overvåger produktionen) og guider operatøren gennem hver kundetilpasset ordre. Den kan opdage operatørfejl og hjælpe med at rette dem, mens opgaven udføres. Stationen er bygget op omkring en Raspberry Pi (en lille, billig computer), som styrer en visuel guide, pick‑by‑light‑indikatorer, en vægt, en printer og en RFID‑læser (radiofrekvensidentifikation). En interaktiv grafisk brugerflade er udviklet i Python med Tkinter‑værktøjskassen. Stationen kommunikerer med MES via den industrielle kommunikationsstandard OPC UA som OPC UA‑klient og sender data til KUKA cloud som OPC UA‑server.
To offer customers personalized products, manufacturing must be flexible and adaptable, with transparent and interoperable systems that can communicate and exchange data across machines. MADE provides a platform for research in Industry 4.0 and smart factories. As part of MADE Digital WP5.4, and in collaboration with the LEGO Group, a physical smart‑factory setup was developed with four components: a counting machine, a cyber‑physical factory setup (linking physical equipment and digital systems), a flexible robot, and a manual station. This thesis focuses on the smart, assistive manual station. It receives production orders from the MES (Manufacturing Execution System, the software that manages shop‑floor orders) and guides the operator through each customized order. It can detect operator mistakes and assist in correcting them while the task is being performed. The station is built around a Raspberry Pi (a small, low‑cost computer) that controls a visual guide, pick‑by‑light indicators, a weighing scale, a printer, and an RFID reader (radio‑frequency identification). An interactive graphical user interface was developed in Python using the Tkinter toolkit. The station communicates with the MES using the OPC UA industrial communication protocol as an OPC UA client and transmits data to the KUKA cloud as an OPC UA server.
[This abstract was generated with the help of AI]
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