Applications 2024-09-16 - 2025-03-22
COURSE DESCRIPTION
Virtual commissioning (VC) is a technique used in the field of automation and control engineering to simulate and test a system's control software and hardware in a virtual environment before it is physically implemented. The aim is to identify and correct any issues or errors in the system before deployment, reducing the risk of downtime, safety hazards, and costly rework.
The virtual commissioning process typically involves creating a digital twin of the system being developed, which is a virtual representation of the system that mirrors its physical behaviour. The digital twin includes all the necessary models of the system's components, such as sensors, actuators, controllers, and interfaces, as well as the control software that will be running on the real system. Once the digital twin is created, it can be tested and optimized in a virtual environment to ensure that it behaves correctly under various conditions.
The benefits of using VC include reduced project costs, shortened development time, improved system quality and reliability, and increased safety for both operators and equipment. By detecting and resolving potential issues in the virtual environment, engineers can avoid costly and time-consuming physical testing and debugging, which can significantly reduce project costs and time to market.
The course includes different modules, each with its own specific role in the process. Together, the modules create a comprehensive virtual commissioning process that makes it possible to test and validate control systems and production processes in a simulated environment before implementing them in the real world.
Expected outcomes
Needs in the industry
Example battery production: Battery behaviors are changing over time. To innovate at speed and scale, testing and improving real-world battery phenomena throughout its lifecycle is necessary. Virtual commissioning / modeling-based approaches like digital twin can provide us with accurate real-life battery behaviors and properties, improving energy density, charging speed, lifetime performance and battery safety.
It’s not just about modelling and simulating the product, but also validating processes from start to finish in a single environment for digital continuity.
Suggested target groups
Industry personnel
Would you like to know what Industry 4.0 is about? Then this course is for you! In the course, we look at enabling technologies of Industry 4.0 from a human and industrial perspective. The course covers many topics and you will learn the basic terminology related to Industry 4.0 as well as insight and understanding of the Fourth Industrial Revolution and how it is set to affect industry and individuals.
The course is part of the programme MAISTR (hh.se/maistr) where participants can take the entire programme or individual courses. The course is for professionals and is held online in English. Application is open as long as there is a possibility of admission. The courses qualify for credits and are free of charge for participants who are citizens of any EU or EEA country, or Switzerland, or are permanent residents in Sweden. More information can be found at antagning.se. About the course Smart Healthcare with Applications, 4 credits Who is this course for?The course suits you with any Bachelor’s degree (equivalent of 180 Swedish credit points / ECTS credits at an accredited university) who have an interest in applying Artificial Intelligence (specifically Machine Learning) to healthcare. Leadership/management experience in health-related organization/industry OR a Bachelor degree in computer science is advantageous. What will you learn from this course?Healthcare as a sector together with other health-related sources of data (municipalities, home sensors, etc.), is now in a place and can take advantage of what data science, Artificial Intelligence (AI), and machine learning (ML) have to offer. Information-driven care has the potential to build smart solutions based on the collected health data in order to achieve a holistic fact-based picture of healthcare, from an individual to system perspective. This course aims to provide a general introduction to information-driven care, challenges, applications, and opportunities. Students will get introduced to artificial intelligence and machine learning in specific, as well as some use cases of information-driven care, and gain practice on how a real-world evidence project within information-driven care is investigated. What is the format for this course?Instruction type: The lectures, announcements, and assignments of this course will be fully online via a learning management system and presented in English. Each lecture is delivered through a video conference tool with a set of presentation slides displayed online during each class session. Online practical labs (pre-written Python notebooks) are also provided in the lectures.
Do you want to learn the basics of Industry 4.0, at your own pace, whenever you want? Then the MOOC (Massive Open Online Course) Introduction to Industry 4.0 is for you. You will learn basic terminology and theory while gaining insight and understanding of the fourth industrial revolution and how it affects us. The MOOC: Introduction to Industry 4.0 is part of MDU's investment in smart production. The course is divided into ten modules, each of which describes different technologies in Industry 4.0. We estimate that it will take about 40 hours to complete the course and it is in English. The MOOC can also give you eligibility to apply for these 3 university courses at Mälardalen University: Internet of things for industrial applications, 5 credits Simulation of production system, 5 credits Big data for industrial applications, 5 credits
Discover the basics of computer vision and its role in Industry 4.0.Humans are in the midst of what is referred to as the Fourth Industrial Revolution, or Industry 4.0: the advent of new technologies that will forever change the face of business, and chief among them is computer vision. This three-week course from the Luleå University of Technology will give you a solid introduction to computer vision and help you explore its effects on industry and business. Once you complete the course, you’ll understand the potential applications of computer vision and be empowered to shape its future. This course will guide you through this journey to have a better understanding of the techniques that stand behind this field, and how you can get the benefit of using CV in your current business. The course will cover he concepts of the following fields, image processing, machine learning, deep learning, and use cases of computer Vision in business. Anyone in industry and academia who wants to boost their digital skills and gain confidence in how computer vision practices have evolved and might add a noticeable positive impact to their business and careers. This may include: Employees, Executives, Directors, Senior Managers, Founders, and Entrepreneurs Undergraduates and post-graduates Researchers, teachers from majors related to business This course will be given in English.
Our society must shift to sustainable production. The production systems need to be developed in line with the global goals set by the UN and that have been agreed on by the countries. Sustainable production is about producing with, preferably, positive impact, but usually at least as little negative impact as possible, on people and our planet. This three-week course introduces you to sustainable production systems and helps you understand them from economic, social and ecological perspectives. The course begins with an exposé of how production systems have developed historically. You will learn about the UN Sustainable Development Goals. The course continues with an in-depth study of production systems, covering some prominent people and theories in the field. Next, you will learn about current developments in production innovation and Industry 4.0. You will also meet two companies in the manufacturing industry, Polarbröd and Sandvik Coromant, and see examples of how they work with sustainable production. The course concludes by giving you tools to design sustainable production systems. The course is aimed at anyone curious about sustainable production and how industrial production can be developed to become more sustainable. The course will be given in English.
You as a project manager are the one who can decide whether a project succeeds or not. In this course we explore different perspectives how to plan for project success. Leading projects is about delivering results within the set time and according to given resources. It is also about being responsive, flexible and being able to handle change. This course gives you basic knowledge to plan and organize successful projects, specifically in the hospitality industry. What is and how to succeed with projects?You will be introduced to concepts and principles behind project management and learn to create a plan that works for small and large projects. Project plans are a common and effective way to organize work, no matter what your job is. When you work on a project, it is about meeting the goals on time and according to budget. It may sound simple, but uncertainty and the often complex work tasks makes project management a challenging journey. Project management for small and medium-sized companiesWith the help of case studies and examples from small and medium-sized companies (SMEs), you will learn more about planning projects especially in the hospitality industry. What are you learning?You will get to know about concepts and principles regarding project and project managementBe able to explain different concepts related to project planning and successful projectsAnalyze different scenarios and suggest solutions especially for small and medium-sized enterprises (SMEs) Who is the course for?The course is designed for anyone who is interested in learning more about project management and how to plan for successful project. However, the cases are especially designed for you in the hospitality industry. The course will be given in english.