1.0i40https://i40.dit.uoi.grDimitris Mitrogiorgoshttps://i40.dit.uoi.gr/index.php/author/dim_mitrogiorgos/rich600338<blockquote class="wp-embedded-content" data-secret="h93G3qQPMk"><a href="https://i40.dit.uoi.gr/index.php/en/iot-in-industry/">IoT in Industry</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://i40.dit.uoi.gr/index.php/en/iot-in-industry/embed/#?secret=h93G3qQPMk" width="600" height="338" title="“IoT in Industry” — i40" data-secret="h93G3qQPMk" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document); //# sourceURL=https://i40.dit.uoi.gr/wp-includes/js/wp-embed.min.js </script> Semester A Mandatory Remote IoT in Industry Understanding the evolution and future of industrial automation, data exchange, and industrial production technologies. Industry 4.0 technologies, Artificial Intelligence, Data Science, Machine Learning, Deep Learning, Industrial Internet of Things, Cloud Computing and Edge Computing, Real-world use cases. ECTS Credits 0 Weeks 0 Total Hours 0 Bibliography Sources 0 Learning Outcomes​ 1) Understanding the Fundamentals of the Internet of Things in Industry 2) Understanding Operational Technology Communication Technologies 3) Familiarization with data recovery from older OT devices 4) Familiarity with the design and assembly of integrated IIoT systems and sensors 5) Understanding the use of sensors and integrated systems in the context of the IIoT 6) Experience in the design and implementation of IIoT solutions for the industrial sector 7) A briefing by industry experts on the opportunities and challenges of implementing the IIoT 8) Presentation of project ideas as part of the course General Skills​ Data search & synthesis Adapting to new technologies Independent project Team project Interdisciplinary environment Project Design & Management Critical & self-critical thinking Digital transformation Making technical decisions Inductive & Creative Thinking Syllabus Week Topic 1 Introduction to Industrial IoT technologies 2 Applications and Benefits of IIoT in Modern Industry 3 Introduction to sensors 4 Data Collection and Processing at the Sensor Level in Industrial Environments 5 Sensor Interconnection and Communication 6 Data Aggregation and Storage 7 Project Topic Selection 8 Data Processing and Usage 9 Information Processing for Industrial Applications 10 Midterm Project Presentations 11 IIoT Applications: Energy Resource Management 12 IIoT Applications: Optimization of Industrial Processes 13 Final Project Presentations Evaluation & Workload​ Semester Workload Evaluation Methods Activity Hours Lectures 39 Bibliographic Assignment 31 Project Implementation 25 Independent Study 30 Course Total 125 Individual Project Final Individual Project Presentation Team Project Final Team Project Presentation ActivityHoursLectures39 Bibliographic Assignment 31 Project Implementation 25 Independent Study 30Course Total125 Individual Project Final Individual Project Presentation Team Project Final Team Project Presentation Bibliography Recommended Textbooks Scientific Journals Industry 4.0: The Industrial Internet of Things 1st ed.Alasdair Gilchrist Industrial Internet of Things: Cybermanufacturing SystemsSabina Jeschke, Christian Brecher, Houbing Song, Danda B. Rawat (Eds) Introduction to Industrial Internet of Things and Industry 4.0Sudip Misra, Chandana Roy, Anandarup Mukherjee Industrial Internet of Things: Technologies, Design, and ApplicationsSudan Jha, Usman Tariq, Gyanendra Prasad Joshi, Vijender Kumar Solanki Real-Time Sensor Networks and Systems for the Industrial IoTC. Koulamas, M. Lazarescu, 2020 IEEEIEEE Transactions on Industrial Informatics ElsevierAdvances in Industrial and Manufacturing Engineering ElsevierJournal of Manufacturing Processes CIRPJournal of Manufacturing Science and Technology SensorsComputers in industry Industry 4.0: The Industrial Internet of Things 1st ed.Alasdair Gilchrist Industrial Internet of Things: Cybermanufacturing SystemsSabina Jeschke, Christian Brecher, Houbing Song, Danda B. Rawat (Eds) Introduction to Industrial Internet of Things and Industry 4.0Sudip Misra, Chandana Roy, Anandarup MukherjeeIndustrial Internet of Things: Technologies, Design, and ApplicationsSudan Jha, Usman Tariq, Gyanendra Prasad Joshi, Vijender Kumar SolankiReal-Time Sensor Networks and Systems for the Industrial IoTC. Koulamas, M. Lazarescu, 2020IEEEIEEE Transactions on Industrial InformaticsElsevierAdvances in Industrial and Manufacturing EngineeringElsevierJournal of Manufacturing ProcessesCIRPJournal of Manufacturing Science and TechnologySensorsComputers in industry Course Information Semester Α΄ ECTS5 Minutes per Week 180 Type Specialized Knowledge Requirements — Course Format Synchronous 30% Asynchronous 70% Remote e-class Erasmus ✓ Technologies & Tools Edge Computing IoT & IIoT Data Fusion Graphana Kibana Back to Courses Page Πλατφόρμα e-class Υλικό μαθήματος, βίντεο, forum & ανακοινώσεις Πρόσβαση στο e-class