Eesmärk:
Advanced skills in Industry 4.0, Industrial IoT, machine vision, manufacturing cells simulation, VR/AR
• To describe and study the applications and tools of production digitalization under Industry 4.0.
• To create and simulate a digital model of an automated production line and/or Flexible Manufacturing System (FMS).
• To define the process flow via mapping, setup virtual layout and select the KPIs to analyse the performance of production lines.
• To create digital dashboard for KPIs monitoring and visualize production line via Virtual Reality (VR).
• To give an overview on the use of machine vision in the production industry and its integration for various purposes
• To develop the knowledge about Internet of Things (IoT) concept, focused on the industrial applications. Offer practical experience of design, assembly and use of IoT systems for industry.
Sihtgrupp:
Engineers and managers from industry, practitioners in the field of production engineering and management.
Eeldused:
Bachelor's, Applied Higher, Master's or equivalent education of manufacturing background.
Letter of motivation and CV
Teemad:
Production Digitalisation(Tootmise digitaliseerimine) EMT0160/6 ECT-spring semester/Educational requirement: Bachelor's, Applied Higher, Master's or equivalent education of manufacturing background. e-learning support
Internet of Things for Industry (Asjade internet tööstusele) EMT0140/6ECT-autumn semester/Educational requirement: Bachelor's, Applied Higher, Master's or equivalent education. e-learning support
Õpiväljundid:
Successful participants:
• Able to design, create digital and simulation environments of production floor/cells and integrate virtual reality possibilities for visualization and interaction purposes.
• Able to select performance indicators and quality enhancement measures for production monitoring.
• Able to understand and integrate machine vision tools in practice.
• Able to understand the IoT technologies and system design concepts
• Understand functionality and able to choose proper IoT components
• Can design, assembly and test simple IoT system
Tunnistus:
TalTech tunnistus
Keel:
Inglise
Lektor:
Kashif Mahmood EMT0160 -Mehaanika ja tööstustehnika instituut EMT0160; Raivo Sell-Mehaanika ja tööstustehnika instituut
Maht:
auditoorne õppetöö: 128 akadeemilist õppetundi
iseseisev/muu õppetöö: 184 akadeemilist õppetundi
EAP:
12
Kontakt:
Avatud õppe keskus, 620 3600, avatudope@taltech.ee
Hind:
588 €/osaleja
Märkused hinna kohta:
Tasu maksmine toimub mikrokraadikava kogumaksumuse alusel semestripõhiselt ning arvutatakse vastavalt valitud õppeaine ainepunktide mahule ja ülikoolis kehtestatud tasumääradele.
Registreerumise tähtaeg:
17.01.2022 23:59
Kommentaar:
Amount of students: 5 Educational requirement as mentioned in the card: Bachelor's, Applied Higher, Master's or equivalent education (engineering background). CV and short letter of motivation
Asukoht:
Ehitajate tee 5
Ajakava:
Asukoht:
Ehitajate tee 5
Hind:
588 €/osaleja
Märkused hinna kohta:
Tasu maksmine toimub mikrokraadikava kogumaksumuse alusel semestripõhiselt ning arvutatakse vastavalt valitud õppeaine ainepunktide mahule ja ülikoolis kehtestatud tasumääradele.
Maht:
auditoorne õppetöö:
128 akadeemilist õppetundi
iseseisev/muu õppetöö:
184 akadeemilist õppetundi
EAP:
12
Õppekavarühm:
Materjalide töötlemine (klaas, paber, plast ja puit)
Kontakt:
Avatud õppe keskus, 620 3600, avatudope@taltech.ee