Information Technologies in Industrial Automation
The focus areas of the research in our group is on various aspects of information technology applications in industrial automation. We are investigating enablers of future smart factories, commonly known as 4th industrial revolution or Industry 4.0. We are leading the development of Aalto Factory of the Future demonstrator.
Among topics of interest are:
- How future factories will be controlled by networks of wirelessly connected microcomputers, especially how software for such networks is going to be developed. Complexity of software development in industry is so great which makes researchers looking for methods of plug-and-play software composition or its automatic generation
- Application of artificial intelligence techniques for recognition of dangerous situations, or predictions of various uncertainties in industrial environments.
- Virtual twins of industrial systems, such as simulation models of processes and entire plants. Future factories will also require higher degree of safety and security, which can be achieved by applying modern methods of behaviour analysis based on the use of high computational power of modern computers.
Recently the group has invested heavily into energy automation. The main focus is on the Internet of Energy - the IT enabled energy production and exchange infrastructure based on prosumers. Smart grid research interests are multi-agent control and security and integration of applications such as smart lighting. We also research about safety of current and future energy systems, including nuclear automation.
We are involved in research projects funded by Academy of Finland, Business Finland, European Union, Finnish Nuclear Waste Management Fund (VYR), and other funding organisations. The group collaborates with many research partners around the globe
The leader of the group is Professor Valeriy Vyatkin.
Valeriy Vyatkin - professor
Tommi Karhela - visiting professor in computer simulation technology
Jan Olaf Blech - professor of practice
Seppo Sierla - university lecturer
Ilkka Seilonen - research scientist
Udayanto Atmojo - postdoctoral researcher
Pekka Aarnio - teaching researcher
Taneli Hölttä - innovation advisor
Thesis: Combined use of formal methods for reliability assurance of safety-critical software systems
Thesis: Aggregating domestic energy storage resources to participate in frequency containment reserves
Gerardo Santillán Martínez
Thesis: Simulation-based digital twins of industrial process plants: A semi-automatic implementation approach
Graduated doctoral candidates:
Thesis: Optimizing Demand Response of Aggregated Residential Energy Storages
Thesis: Collaborative energy management systems: design and evaluation for intelligent buildings, electric vehicles and street lighting
Project duration: 2019-2022
Funded by: Finnish Nuclear Waste Management Fund (VYR)
The SEARCH project (“Safety and security assessment of overall I&C architectures”), which is a part of SAFIR2022 research program (The Finnish Research Programme on Nuclear Power Plant Safety 2019-2022, http://safir2022.vtt.fi/), aims to address the safety and security of instrumentation and control (I&C) systems of nuclear power plants (NPPs) with a focus on connections among different I&C systems and the overall I&C system architecture. This will be done by developing new methods and tools. Our research group participates in the work package of SEARCH called “Model-based system engineering and formal verification”. Together with VTT Research Centre of Finland Ltd., we will work on the application of formal verification by means of model checking in the nuclear I&C domain, continuing the research direction of the SAUNA project. Concrete research directions include, but are not limited to hardware issues in model checking, user-friendly model checking.
Key researchers: Igor Buzhinsky, Polina Ovsyannikova
Project duration: 2016-2018
Funded by: EIT RawMaterials KIC
Virtual Upscaling belongs to the first wave of upscaling projects run under the EIT RM’s Baltic CLC during 2016-2018. The practical goal of the project was to collect materials, products and process design related real life R&D use cases from the project partners and develop the means to speed up the design and testing processes using a virtual platform known as the Modelling Factory. In particular, computational tools, data exchange protocols and software requirements were evaluated and developed in order to see, what types of solutions would have practical value for industrial and academic users to help them to ascend the scale ladder of phenomena when taking their ideas from the laboratory to the field.
Project duration: 2016-2018
Funded by: Bussiness Finland
“Raising the level of automation and quality in plant engineering"
During the recent years we have seen how production has shifted from Europe to the cheaper labour countries, starting with basic manufacturing but expanded towards high value production. It has been argued that by keeping the level of automation high in production we can slow down the movement. Same is also true with the engineering activities. Many Finnish companies are leading brokers in global plant engineering projects for large investments. In order to keep this position we need to raise the level of automation and quality in our plant engineering.
Goals of the Project
Goals of the project are two fold. On the one hand we will improve the plant engineering process efficiency and quality and thus ensure Finnish competitiveness in global process industry investment projects. On the other hand we will create a new engineering marketplace for platform economy. This marketplace will be based on open source platform and interfaces based on international standards.
Improvement of efficiency and quality is done through:
Speeding up the engineering process with more automated model generation and model transformations and by enabling automatic path for design information and simulation models to the systems used in plant operation.
Increasing the quality of engineering with model-based verification, validation and testing
Establishing interoperability through key-technology standards
Validating the results using industrial applications.
- Companies: EQUA, Fennovoima, Fortum, Masinotek, Outotec, Prosys, PSK, Pöyry, Semantum
- Research organisations: VTT and Aalto University
Project duration: 2015-2018
Funded by: Finnish Nuclear Waste Management Fund (VYR)
The SAUNA project (“Integrated safety assessment and justification of nuclear power plant automation”) is a part of SAFIR2018 research program (The Finnish Research Programme on Nuclear Power Plant Safety 2015-2018, http://safir2018.vtt.fi/). The general aim of SAUNA is to develop integrated and multidisciplinary ways of assessing and demonstrating the safety of nuclear power plants (NPPs) and their systems. Our research group participated in the work package of this project called “Analysis methods and tools”. In partnership with VTT Research Centre of Finland Ltd., we worked on several problems related to formal verification of instrumentation and control (I&C) systems of NPPs by means of model checking. This involved making model checking more user-friendly, performing closed-loop model checking with automatically generated plant models, addressing hardware issues (such as failures and asynchrony) within model checking.
Key researchers: Igor Buzhinsky
Project duration: 2015-2016
Funded by: TEKES
A district heating grid consists of hot water pipes which uses the waste heat from a power plant and supply the waste heat energy to the consumers for heating. The consumers are always looking for cheaper solutions. In the energy market there is an ongoing trend to to use the local solar thermal and green energy resources to reduce the fossil fuel emission. But, it is always challenging to add local solar/thermal devices at consumer premises without disrupting the overall operation of the district heating grid. Moreover, one important requirement is to propose solutions to incentivize customers to install their own local energy producing and storage devices. Studying these kind of system is complex due to its inherited distributed nature. In order to enable studying of grid behavior an auction based district heating system is proposed in .
In an auction based scenario, the consumers which produces energy using their own local energy resources are called ‘prosumers’. In this research these prosumers can take part in the auctions in a district heating grid at hourly epoch. The model of Kaskinen district is developed by VTT earlier is used for this work. Two different forms of the offer function linear, fuzzy were proposed. These offer functions, based on the next hour predictions provide a commitment value for different price options. Since, such price options are not available currently for this kind of work, the fuzzy concept in  avoid the limitation of the concrete pricing model from the market and safely use fuzzy concepts.
The results obtained in  and  provide satisfactory comparison between these two different cases with the baseline fixed price and no auctions. This work has been extended to make use of longer predictions and offer commitments for more than 1 hour, using a bigger plant model. For the model of grid Apros is used. Fortum and VTT has collaborated with Aalto and developed a larger district heating plant model using the Järvenpää case studies and data. The project is the part CLIC innovation, EFEU/ For, current and future work we use this model to provide concrete results using the finite horizon auctions, optimizing the operation of the grid in a better way. Furthermore, there is a possibility to use more complex offer function and pricing models.
More information (link to the official page of the project)
 K. Gulzar, S. Sierla, V. Vyatkin, N. Papakonstantinou, P. G. Flikkema and C. W. Yang, "An auction-based smart district heating grid," 2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA), Luxembourg, 2015, pp. 1-8.
 C. W. Yang, K. Gulzar, S. Sierla and V. Vyatkin, "Fuzzy Logic Based Prosumer Agent in a Modular Smart Grid Prosumer Architecture," Trustcom/BigDataSE/ISPA, 2015 IEEE, Helsinki, 2015, pp. 261-268.
Project duration: 2014-2016
Funded by: TEKES
The S-STEP programme of FIMECC is positioned in the crossroads of these two significant megatrends: 1) the growing importance of industrial service business, and 2) the remarkable emergence of industrial internet or cyber-physical systems. The combination of these trends holds significant advantages for Finnish industries and export. However, before these opportunities can be realised, the problems related to the combination of these opportunities, related technology issues and scientific problems needs to be solved. This is the core of the S-STEP -program and it has a clear mission: S-STEP creates the industrial internet technology that enables superior services for the Finnish industry.