The digitization and automation of industrial enterprises, processes and infrastructures is creating a disruptive change for the industrial sector. This is affecting manufacturing processes, building management, environmental processes, and transportation and logistic systems in a profound manner. The digitization and automation is driven largely by Internet of Things technologies.
IoT and automation is leading to mass customization in manufacturing. In particular the concept of the digital twin allows new products to be developed and tested before any physical process is started but once design is fixed, the manufacturing processes are then automatically configured and controlled to manufacture the specific design. The flexible deployment, allocation and orchestration of sensing and actuation, communication and computing resources and services are a key enabler.
At the same time, IoT is not only transforming the actual manufacturing processes but affecting the whole lifecycle of production and delivery of new products from raw materials to manufacturing to the delivery to end users, to the product’s use and its recycling or reuse, thus enabling a circular economy. Next generation mobile/wireless networks will play a key role in this such as 5G and low power wide area networks.
This vertical track will feature invited speakers from industry and academia and special papers that address forward looking topics in IoT technologies for the industrial space and discuss how the advancement of industrial IoT is transforming industry. Topics that will be addressed include
- Dependable networks for automation systems
- The Internet of Things and the digital twin
- Virtualization of manufacturing networks
- 5G and low power wide area networks for industrial IoT
- Cyber-physical manufacturing systems
- Edge and mobile cloud computing in industrial IoT
- Industrial IoT Cybersecurity
- Robust and Reliable IoT
- Intelligent Industrial IoT systems
Dirk Pesch, Cork Institute of Technology
Prof. Dirk Pesch is Head of the Nimbus Research Centre at Cork Institute of Technology, Cork, Ireland. Nimbus carries out research and innovation in Cyber-Physical Systems and the Internet of Things with applications in smart cities and the built environment, energy and water resource management, smart manufacturing, and health and assisted living. Dirk’s own research interests focus on architecture, design, algorithms, and performance evaluation of low power, dense and moving wireless/mobile networks and services for Internet of Things and Cyber-Physical System’s applications and interoperability issues associated with IoT applications. He has over 25 years research and development experience in both industry and academia and has (co-)authored over 200 scientific articles. Dirk is involved in a number of Irish national collaborative research centres, the CONNECT Centre for Future Networks and the CONFIRM Centre for Smart Manufacturing. He has also been active in many EU funded research projects, having coordinated the FP7 SCUBA and GENiC projects focused on smart building and data centre energy efficiency. Dirk is on the editorial board of Springer’s Wireless Networks and the International Journal of Distributed Sensor Networks and contributes to international conference organization in his area of expertise. He is a senior member of the IEEE and a member of the ACM. Dirk received a Dipl.Ing. degree from RWTH Aachen University, Germany, and a PhD from the University of Strathclyde, Glasgow, Scotland, both in Electrical & Electronic Engineering.
Theocharis (Theo) Theocharides, University of Cyprus
Theocharis (Theo) Theocharides is an Associate Professor in the Department of Electrical and Computer Engineering, at the University of Cyprus. Theocharis received his Ph.D. in Computer Engineering from Penn State University, working in the areas of low-power computer architectures and reliable system design. Theocharis was honored with the Robert M. Owens Memorial Scholarship in May 2005. He has been with the Electrical and Computer Engineering department at the University of Cyprus since 2006, where he directs the Embedded and Application-Specific Systems-on-Chip Laboratory. His research focuses on the design, development, implementation and deployment of low-power and reliable on-chip application-specific architectures, low-power VLSI design, real-time embedded systems design and exploration of energy-reliability trade-offs for Systems on Chip and Embedded Systems. His focus lies on acceleration of computer vision and artificial intelligence algorithms in hardware, geared towards edge computing, and in utilizing reconfigurable hardware towards self-aware, evolvable edge computing systems. He serves on several organizing and technical program committees of various conferences, is a Senior Member of the IEEE, a member of the ACM, and an Associate Editor for IEEE Consumer Electronics magazine and the ETRI journal. He also serves on the Editorial Boards of IEEE Design & Test magazine, and ACM Transactions on Embedded Computing Systems.
At EFFRA, Chris Decubber aims at generating consensus on research and innovation priorities among the industrial and research community for the ‘Factories of the Future’ PPP. Chris coordinates the monitoring of the outcome and progress of the ‘Factories of the Future’ PPP and works on knowledge transfer mechanisms that enhance the impact of the FoF PPP. Chris also initiated the ConnectedFactories Coordination Action which focuses on the developing pathways to the digitalisation of manufacturing.
EFFRA – The European Factories of the Future Research Association (EFFRA) is an industry-driven association promoting the development of new and innovative production technologies. It is the official representative of the private side in the ‘Factories of the Future’ public-private partnership under Horizon 2020. The partnership aims at bringing together private and public resources in an industry-led research and innovation programme that generates and demonstrates technologies for a wide range of manufacturing sectors.
Talk Title: Pathways to Digitalisation of Manufacturing
Pathways to digitalisation of manufacturing reflect how digitalisation and eventually the deployment of digital platforms can bring value within different kinds of manufacturing perspectives, such as factory automation, value networks or product-service development. The pathways enhance the awareness among different stakeholders about the actual and future use of digital technologies in manufacturing and facilitate the migration from legacy situations towards innovative approaches.
Dr. Michael Karner is lead researcher for Embedded Systems at VIRTUAL VEHICLE in Graz, Austria. He received a master’s (Information and Computer Engineering) and doctoral degree (Electrical Engineering) from Graz University of Technology. He has been active as project manager for the ARTEMIS project DEWI (focussing on dependable wireless infrastructure), with a budget of 40M€ and involving nearly 60 partners from 11 European countries. Currently, he is the coordinator for the successor ECSEL project SCOTT (focussing on cost-efficient solutions of wireless, end-to-end secure, trustworthy connectivity and interoperability in the Internet of Things), with a budget of 40M€ and involving nearly 60 partners from 11 European countries and Brazil). He has more than ten years industrial and scientific research experience in the field of wireless systems, communication networks and protocols, automotive electrics/electronics and software, cooperative safety systems as well as co-simulation. Furthermore, he is active as a reviewer and technical program committee member in several conferences and journals.
Talk Title: Boosting Security, Privacy, Safety, and Trust in the Internet of Things
Creating trust in wireless solutions and increasing their social acceptance are major challenges to achieve the full potential of the Internet of Things. Therefore, the ECSEL project SCOTT – Secure COnnected Trustable Things, a pan-European effort with 57 key partners from 12 countries (EU and Brazil), will provide comprehensive cost-efficient solutions of wireless, end-to-end secure, trustworthy connectivity and interoperability (Technology Readiness Level 6-7) to bridge the last mile to market implementation. SCOTT will not just deal with ‚things that are connected‘, but with ‚trustable things that securely communicate‘, i.e. things interconnected by dependable wireless technology and valuing the end-users‘ privacy rules.
The presentation will give an overview about the SCOTT key innovation activities:
- Boosting Security, Privacy, Safety and Trust for IoT
- Ensuring Industry-compliant Connectivity via Cloud Integration
- Developing Innovative Energy-constrained and Autonomous IoT Components
- Providing a Reference Architecture for Secure Connected Trustable Things demonstrated across 5 Domains
- Design a scientifically sound yet practical Framework for developing Trusted Systems
Furthermore, results of the 15 different use cases will be presented, showing the disruptive impact of the SCOTT innovations within and across various industrial domains.
Stephen Mellor is the Chief Technical Officer for the Industrial Internet Consortium, where he directs the standards requirements and technology & security priorities for the Industrial Internet. In that role, he coordinates the activities of the several engineering, architecture, security and testbed working groups and teams.
Talk Title: Challenges in Industrial IIoT
The technology drivers behind consumer IoT and industrial IoT are broadly the same–ubiquitous connectivity, big data, cheap sensors and computing power—but the business drivers are different. Security for your wearable is obviously important, but security (or, more generally, trustworthiness) for manufacturing, healthcare and transportation needs to be rather more robust: the requirements are “industrial strength”. Moreover, price is king in the consumer market, while return on investment is key in industry.
IIoT has the potential to change economies and societies drastically, but that won’t happen by itself. We need to test new technologies and new business models; we need common frameworks; we need standards suitable for industry. The Industrial Internet Consortium was founded five years ago to build an ecosystem to accelerate global adoption of the industrial internet.
This presentation will outline the challenges, progress so far, what we are doing now and plan for the future.
Danilo Pietro Pau graduated at Politecnico di Milano, Italy on 1992 in Electronic Engineering. On 1991 he joined STMicroelectronics, Advanced System Technology and worked on many R&D projects involving processing technologies such as video coding, embedded graphics, computer vision and deep learning with the aim of bringing them into company products. Currently he holds Senior Principal Engineer, Member of Technical Staff position. He co-founded and served as Chairman the STMicroelectronics Technical Staff Italy Community on 2012. He is also IEEE Senior Member, serves IEEE as Industry Ambassadors for IEEE Region 8 South Europe and being vice chair of Task Force on “Intelligent Cyber-Physical Systems” within IEEE Computational Intelligence Society.
Talk Title: STMicroelectronics at the edge of Intelligent Cyber-Physical-Systems Theory, Practice, Deployment
Cyber-Physical Systems (CPS) are becoming, without pace, deeply pervasive into embedded systems. Artificial Intelligence, Machine Learning and Deep Learning were mostly confined into the cloud, in which unlimited computing resources are available and evolving tirelessly. Unfortunately a layered architecture in which dumb edge sensing units are attached to the cloud would become quickly too centralized, poorly scalable and slowly responsive in the future. That is true in the context of the IoT expected scenario that will deploy hundreds of billions of sensing units communicating through ultra low data rate networks.
In that context, STMicroelectronics is developing solutions to bring Artificial Intelligence into the sensing units.
This talk will cover STMicroelectronics Artificial Intelligent solutions and devices under development and publicly announced. The talk will tell how they represent the key ingredients needed to design the current and future generation of artificial intelligent cyber-physical embedded systems to derive break-through applications based on STMicroelectronics heterogeneous sensors, micro controllers and SoC. In particular, aspects related on how address current interoperability, productivity and constrained embedded resource gaps will be discussed with practical examples and demonstrations.
Moreover the investigation and design of adaptive and cognitive computational-intelligence techniques able to learn, adopting artificial neural networks and operate in nonstationary environments and the deployment of credible networked intelligent cyber-physical systems able to operate in time varying environments will be introduced.
Eleni Pratsini is Managing Director at Accenture Technology, leading the growth of AI applications in business in Europe. Prior to joining Accenture in January 2018, Eleni spent 14 years at IBM Research, leading research teams in Advanced Analytics and AI. In her most recent roles, she was Director of Cognitive IoT Solutions and Lab Director of IBM Research – Dublin, Smarter Cities Technology Centre. Before joining IBM, she had a successful career in academia, first in the US as associate professor at Miami University, and then in Europe at the Swiss Federal Institute of Technology Zurich (ETHZ). Her work was recognized by a number of industrial and academic awards and research grants.
Eleni has a PhD in Quantitative Analysis and Industrial Engineering (U. of Cincinnati, USA), an MBA in Finance (UCLA, USA) and a B.Sc. in Civil Engineering (U. of Birmingham, U.K.).
Talk Title: Industrial IoT – Are We Meeting Expectations?
The Internet of Things is changing the way we interact with our surroundings. It is estimated that the number of connected devices will grow to 21 billion by 2020. The IoT is generating an explosion of sensor data, most of it is unstructured and multi-modal, requiring sophisticated techniques to analyze and interpret. We can only keep up with the complexity and unpredictability of this information through the use of intelligent computing systems that self-learn, reason and automatically adjust to the surroundings. The enterprise that can analyze the data on the fly and generate transformational decisions to constantly adapt to the changing environment will be a leader in its field. The rapid growth of technology and the resulting increase in expectations, bring up challenges both on the technical as well as the human side; both types of challenges need to be addressed for a successful implementation. In this presentation we will use industrial applications to motivate some of the advanced technologies, point out the practical and technical challenges, and highlight the business benefit from these technologies.