DTU’s IoT Research Center is now part of the Nordic University Hub on Industrial IoT, which is funded by NordForsk during 2018-2023.

Please visit the IIoT Hub website here.

These pages are no longer maintained.

Thank you for attending the IoT Session at the Hight Tech Summit 2017!

Please see the download links below for the presentations.

Internet of Things Track

Organizer: Assoc. Prof. Sven Karlsson, DTU Compute

Talks:

  • How “Internet of Things” is changing the traditional Heating and Cooling systems, Nestor Avramov, Danfoss A/S PDF slides
  • Fog Computing as an Infrastructure for the Industrial Internet of Things, Paul Pop, DTU PDF slides
  • Creating an IoT Platform for Arla Foods’ Supply Chain, Arne Svendsen, Arla Foods PDF slides
  • Internet-of-Things technical foundation and use cases, Anders Mynster, FORCE Technology PDF slides

2017-09-20-IoT session 1

2017-09-20-IoT session 2

We are open to researchers from other departments at DTU, other Danish universities, and we’re welcoming company members. You can join our center as a member or you can even lead one of the research topics. Membership is free.

Send an email to  iotc-announce@lists.iotcenter.dk to join our newsletter.

 

topic5

 

The requirements to IoT Communications infrastructures are diverse and depending on the application. The focus is on :

  • reliability
  • power consumption
  • coverage
  • safety
  • latency and/or price

A number of evolving communications technologies are targeting IoT, e.g. LoRa (Long Range),  Sigfox, Bluetooth Low Energy (BLE), Zigbee  and extensions to existing mobile networks GSM,  LTE-M and LTE-N (NB-IoT).  Today GSM is widespread due to the low power consumption compared to 3G/4G, but LTE-m,n will offer better link budget and lower power consumption compared to standard LTE. Currently, there is a lot of research in  next-generation (5G) mobile network and how to deal with a huge number of devices connected to the IoT in the future.

 

Topic chair: Assoc.Prof. Michael S. Berger

Technology transfers in computing systemstetracom

 

Contact:Prof. Paul Pop

 

tetracom

The mission of the TETRACOM Coordination Action is to boost European academia-to-industry technology transfer (TT) in all domains of Computing Systems. While many other European and national initiatives focus on training of entrepreneurs and support for start-up companies, the key differentiator of TETRACOM is a novel instrument called Technology Transfer Project (TTP). TTPs help to lower the barrier for researchers to make the first steps towards commercialization of their research results.

Partners

The partners for this TTP are DTU and AB Volvo, Gothenburg, Sweden.

DTU’s role

In this TTP, DTU is focusing on designing and developing a method and tool (called AUTOMAP) for deciding the assignment of functionality in automotive applications to multicore distributed architectures.

The automotive electronic architectures have moved from federated architectures, where one function is implemented in one ECU (Electronic Control Unit), to distributed architectures, where several functions may share resources on an ECU. In addition, multicore ECUs are being adopted because of better performance, cost, size, fault-tolerance and power consumption.

The assignment of functions to the distributed vehicle architecture (also called “mapping”) is currently done manually. However, such a manual mapping is no longer feasible due to the introduction of multicores, which increases the complexity of the decisions and their impact, the use of complex middleware, such as AUTOSAR (AUTomotive Open System Architecture), and the required compliance to the functional vehicle safety standard ISO 26262. Without an automatic mapping solution, it is very challenging to utilize multicore-based ECUs in automotive systems, as experienced by Volvo Group, one of the leading manufacturers of commercial vehicles.

Researchers at DTU Compute

  • Paul Pop, professor 
  • Cosmin Florin Avasalcai, MSc student
  • Dhanesh Budhrani Budhrani, MSc student
  • Florin Maticu, MSc student

Find out more by visiting the project website.

Relevant topics

Hard Real-Time
Embedded 
Multiprocessor Platform – RTEMP

Contact: Prof. Martin SchoeberlProf. Jens Sparsø

Many products and systems have built-in intelligence, realized by computers and software. It denotes those “embedded systems,” and much of the product innovation happens in these years relies on the use of embedded systems. Insulin pens and ABS brakes are a few examples that are also safety-critical – i.e. they may not be able to perform unintended actions and to react in time. It is known that computers have become faster and faster.

Many of the mechanisms we have implemented to achieve this, unfortunately, means that it is virtually impossible to predict the running time of a program and that there is a significant difference in the time you will typically see, and the time can be guaranteed. Moreover, there is no correlation between them. The computers you use, is often unnecessarily cumbersome, and the temporal analyses carried out, is very resource intensive.

The project takes the root of the problem by developing a computer platform that is optimized to reduce a program’s worst-case running time and to make it much easier to analyze the running time. The project focuses on so-called multi-core platforms and aims realization using.

FPGA chips – standard chips that can be configured to implement any hardware design. The project’s focus on embedded systems and FPGA technology is highly relevant to a wide range of Danish companies.

Partners

Project funded by:

The Danish Council for Independent Research | Technology and Production Sciences (FTP)
Project duration: April 1st, 2013– April 30th, 2016

Researchers at DTU Compute

Find out more by visiting the project website.

topic3

Challenges:

Time-predictable execution platform
Computation and communication (NoC)
Real-time computing on multi-cores
Energy efficient computing
Safe programming languages, e.g. real-time Java, JavaScript

Solutions:

T-CREST platform. Repository: https://github.com/t-crest
Multicore support for Accelerators (including reconfiguration)

Topic chair: Prof. Jens Sparsø and Assoc. Prof. Martin Schoeberl

t-prest

Time Predictable Multi-Core Architecture for Embedded Systems

Contact: Prof. Martin SchoeberlProf. Jens Sparsø

Safety-critical systems are important parts of our daily life. Those systems are also called dependable systems, as our lives can depend on them. Examples are navigation controllers in an aeroplane, breaking controller in a car, or a train control system. Those safety-critical systems need to be certified and the maximum execution time needs to be bounded and known so that response times can be assured when critical actions are needed.

The T-CREST project is developing a time-predictable system that will simplify the safety argument with respect to maximum execution time while striving to double performance for 4 cores and to be 4 times faster for 16 cores than a standard processor of the same technology (e.g. FPGA). The ultimate goal of the T-CREST system will be to lower costs for safety-relevant applications, reducing system complexity and at the same time achieving faster time-predictable execution.

T-CRESTis a Specific Targeted Research Project (STREP) of the Seventh Framework Programme for research and technological development (FP7) – the European Union’s chief instrument for funding research over the period 2007 to 2013.

Embedded systems are taking over control in always more demanding environments, including safety and security critical systems. The robustness and safety of systems are, therefore, an ever-growing competitiveness factor. The aptitude to produce robustly predictable systems at a competitive price will be key to keeping European companies at the cutting edge of the embedded system market. A large number of European companies will benefit via the project coordinator, The Open Group having close links to more than 400 member companies involved in technology evolution. Direct impact on the market position of 3 European companies participating in the project is expected, namely the tools company AbsInt as well as GMV and INTECS offering safety critical solutions for Aeronautics and Transport. T-CREST will also help European industry to build reliable systems, not only in the areas of air and ground transportation but also in many other areas where robustness, availability, and safety are important requirements to the embedded systems.

Partners

Researchers at DTU Compute

Find out more by visiting the project website.

emc2-jpgEmbedded multi-core systems for mixed-criticality applications in dynamic real-time environments

 

Contact: Prof. Paul Pop

paupo_project_emc2EMC² – ‘Embedded Multi-Core Systems for Mixed Criticality applications in dynamic and changeable real-time environments’ is an ARTEMIS Joint Undertaking project in the Innovation Pilot Programme ‘Computing platforms for embedded systems’ (AIPP5).

Embedded systems are the key innovation driver to improve almost all mechatronic products with cheaper and even new functionalities. They support today’s information society as inter-system communication enabler. A major industrial challenge arises from the need to face cost efficient integration of different applications with various levels of safety and security on a single computing platform in an open context.

EMC² finds solutions for dynamic adaptability in open systems, provides handling of mixed-criticality applications under real-time conditions, scalability and utmost flexibility, full-scale deployment, and management of integrated tool chains, through the entire lifecycle.

The objective of EMC² is to establish Multi-Core technology in all relevant Embedded Systems domains.

EMC² is a project of 99 partners of embedded industry and research from 19 European countries with an effort of about 800 person-years and a total budget of about 100 million Euro.

Partners

EMC2 is a very large project, with 99 partners from all over Europe. In Denmark, the partners are DTU and Danfoss.

DTU’s role

DTU leads the work package (WP) on Industrial automation together with Danfoss, Denmark.

In Internet of Things WP, we have worked together with TTTech, Austria, and we have identified a research problem related to the use case of “open deterministic networks.” We assume that the network implements the Time-Sensitive Networking (TSN) protocol currently being standardized. As a first step, we have developed an offline tool to determine the routes for AVB traffic in TSN. In the next step, we are interested in determining the Gate Control Lists for the time-triggered traffic. The ultimate goal of the work is to perform a runtime configuration of TSN that would guarantee properties for mixed types of traffic.

In the Automotive WP, DTU has developed a method and tool for deciding the assignment of functionality in automotive applications to multicore distributed architectures, consisting of several ECUs interconnected by a bus such as Controller Area Network. The platform details are given by AB Volvo, Sweden, and comply with AUTOSAR and ISO 26262. The tools are currently being extended to evaluate several communication models for a mixed-criticality automotive platform.

Researchers at DTU Compute

  • Paul Pop, professor
  • Domitian Tamas-Selicean, postdoc
  • Sune Mølgaard Laursen, PhD student
  • Luxi Zhao, visiting PhD student
  • Florin Maticu, MSc student
  • Dhanesh Budhrani Budhrani, MSc student
  • Cosmin Florin Avasalcai, MSc student
  • Michael Raagaard, MSc student

Find out more by visiting the project website.

Relevant topics

 

European Initiative to Enable Validation for Highly Automated Safe and Secure Systems

Contact: Prof. Paul Pop

ENABLE-S3 will pave the way for the accelerated application of highly automated and autonomous systems in the mobility domains automotive, aerospace, rail, maritime and health, through a provision of highly effective test and validation methodology and platforms that will save significant fractions of field tests. Virtual testing and verification and coverage-oriented test selection methods will enable certification of these systems with reasonable efforts and project results will be considered for standardization of such systems.

ENABLE-S3 is strongly industry-driven. Several representative use-cases from smart mobility and smart health will define the requirements to be addressed in the project and will assess the benefits of the technological progress achieved in the project. ENABLE-S3 addresses all five main innovation tracks stated by the commission within their presentation “Digitizing Europe’s economy” with a special focus on “CPS, Smart connected objects and IOT”, and “Robotics, Autonomous systems, and automation”.

In the Farming Domain, the industry has already successfully implemented “smart farming” features which focus on detecting the crop’s needs and problems (fertilizer and water application and crop spraying according to the needs of each individual plants rather than treating the large area in the same manner). This already introduced a high level of automation and saved millions of tons of fertilizers, pesticides, insecticides, etc. The missing link now is heading in the direction of autonomous operations in order to optimize resources, increase the level of efficiency and reduce costs significantly. In some areas savings up to one-third of the cost are expected.

DTU’s role and research

DTU leads the tasks on “Automated validation and verification” and “Overall test strategy/methodology” and works in the “Autonomous Farming” use case.

DTU will apply the runtime V&V concepts developed in Runtime validation/assessment task to the farming use case. DTU will develop tools for the evaluation of non-functional properties of the safety-related applications. The tools will focus on the Deterministic Ethernet-based vehicle platforms.

Researchers at DTU Compute

Partners

  • The project has 74 partners from all over Europe
  • The Danish partners in the project are:
    • Technical University of Denmark
    • Aalborg University
    • Nabto ApS

Find out more by visiting the project website.

Relevant topics