Valeriy Vyatkin

Aalto University · Department of Electrical Engineering and Automation

Data centres are becoming an increasingly important part of our society’s infrastructure. The number of data centres is growing constantly, making growing the gross level of electrical energy consumption. At the same time, the rapid spread of sophisticated electrical devices as well as other automation systems in general produces an opportunity for...

Strip rolling is a typical manufacturing process, in which conventional control approaches are widely applied. Development of the control algorithms requires a mathematical expression of the process by means of the first principles or empirical models. However, it is difficult to upgrade the conventional control approaches in response to the ever-ch...

In the Software Development Life Cycle (SDLC), Development and Operations (DevOps) has been proven to deliver reliable, scalable software within a shorter time. Due to the explosion of Machine Learning (ML) applications, the term Machine Learning Operations (MLOps) has gained significant interest among ML practitioners. This paper explains the DevO...

Battery storage is emerging as a key component of intelligent green electricitiy systems. The battery is monetized through market participation, which usually involves bidding. Bidding is a multi-objective optimization problem, involving targets such as maximizing market compensation and minimizing penalties for failing to provide the service and c...

Reinforcement learning has emerged as a potentially disruptive technology for control and optimization of HVAC systems. A reinforcement learning agent takes actions, which can be direct HVAC actuator commands or setpoints for control loops in building automation systems. The actions are taken to optimize one or more targets, such as indoor air qual...

A Virtual power plant is defined as an information and communications technology system with the following primary functionalities: enhancing renewable power generation, aggregating Distributed Energy Resources and monetizing them considering the relevant energy contracts or markets. A virtual power plant also includes secondary functionalities suc...

Recent technological advances and manufacturing paradigm evolutions in industrial settings will dramatically increase the complexity of automation control systems. Traditional solutions to the software development of low-level control kernels (e.g., numerical control kernel, motion control kernel, and real-time communication tasks) are unable to co...

This paper presents an example of a systematic approach based on domain-specific languages to implement Function Blocks Modelling Environment (FBME): an integrated development environment (IDE) for the international standard IEC 61499. The new open development environment for the standard of growing importance in the Industry 4.0 realm would contri...

The transition to renewable production and smart grids is driving a massive investment to battery storages, and reinforcement learning (RL) has recently emerged as a potentially disruptive technology for their control and optimization of battery storage systems. A surge of papers has appeared in the last two years applying reinforcement learning to...

Digital twins are now one of the top trends in Industry 4.0, and many companies are using them to increase their level of digitalization, and, as a result, their productivity and reliability. However, the development of digital twins is difficult, expensive, and time consuming. This article proposes a semi-automated methodology to generate digital...

The wide propagation of electric vehicle (EV) charging infrastructure integrated into the energy distribution network poses numerous challenges for the engineering and control of the latter: the load dynamic characteristics become more unsteady, requiring more advanced control, predictions, and virtual commissioning. One step toward automation of t...

Datacentres are becoming a sizable part of the energy system and are one of the biggest consumers of the energy grid. The so-called Green Datacentre is capable of not only consuming but also producing power, thus becoming an important kind of prosumers in the electric grid. Green datacentres consist of a microgrid with a backup uninterrupted power...

Component-Design Architecture has been in demand based on the growing needs for modularity and flexibility in the automation industry. IEC 61499 standard, a component-based automation architecture, provides various tools and techniques for automation developers to accommodate the need for flexibility in automation sequences. However, the adapter co...

Making an updated and as-built model plays an important role in the life-cycle of a process plant. In particular, Digital Twin models must be precise to guarantee the efficiency and reliability of the systems. Data-driven models can simulate the latest behavior of the sub-systems by considering uncertainties and life-cycle related changes. This pap...

A significant body of research has emerged for adapting diverse intelligent distributed energy resources to provide primary frequency reserves (PFR). However, such works are usually vague about the technical specifications for PFR. Industrial practitioners designing systems for PFR markets must pre-qualify their PFR resources against the specificat...

The capabilities of dynamicity, flexibility and agile production are enablers to Smart Factory and Industry 4.0. One critical feature to achieve these capabilities is to achieve efficient deployment optimization for automation control applications. However, many factories have used control applications implemented using IEC 61131 rather than IEC 61...

Battery storages are an essential element of the emerging smart grid. Compared to other distributed intelligent energy resources, batteries have the advantage of being able to rapidly react to events such as renewable generation fluctuations or grid disturbances. There is a lack of research on ways to profitably exploit this ability. Any solution n...

The COVID19 pandemic has created tremendous challenges in the learning and education sector. Schools and universities are forced to close and most teaching activities have to be organized with very limited physical and social interaction between the teachers and students, and also among students. This is particularly difficult for certain learning...

Industrial process plants have a lifecycle of several decades, and only some of the most modern plants have digital, machine-readable design information available. For all other plants, the information is often available in PDF and other human-readable formats. Based on this information, a digital twin could be constructed only with considerable hu...

Industrial cyber-physical systems require complex distributed software to orchestrate many heterogeneous mechatronic components and control multiple physical processes. Industrial automation software is typically developed in a model-driven fashion where abstractions of physical processes called plant models are co-developed and iteratively refined...

Industrial automation systems (IAS) need to be highly dependable; they should not merely function as expected but also do so in a reliable, safe, and secure manner. Formal methods are mathematical techniques that can greatly aid in developing dependable systems and can be used across all phases of the system development life cycle (SDLC), including...

The benefits that arise from the adoption of a systems engineering approach to the design of engineered systems are well understood and documented. However , with software systems, different approaches are required given the changeability of requirements and the malleability of software. With the design of industrial cyber-physical systems, one is...

The rapid penetration of photovoltaic generation reduces power grid inertia and increases the need for intelligent energy resources that can cope in real time with the imbalance between power generation and consumption. Virtual power plants are a technology for coordinating such resources and monetizing them, for example on electricity markets with...

Real-time electricity pricing mechanisms are emerging as a key component of the smart grid. However, prior work has not fully addressed the challenges of multi-step prediction (Predicting multiple time steps into the future) that is accurate, robust and real-time. This paper proposes a novel Artificial Intelligence-based approach, Robust Intelligen...

The use of distributed systems is a convenient approach to traffic management. Systems with a centralized architecture experience heavy loads on communication channels and key nodes and are also geographically separated from the point of control decision making, which can increase the number of faults or reduce the quality of the system. Distribute...

Modern data centres consume a significant amount of electricity. Therefore, they require techniques for improving energy efficiency and reducing energy waste. The promising energy-saving methods are those, which adapt the system energy use based on resource requirements at run-time. These techniques require testing their performance, reliability an...

The dynamic and flexible deployment optimization of industrial control applications is essential for achieving the goals of Smart Factories and Industry 4.0. In this paper, we are studying distributed IEC 61499 control applications. To achieve the required efficiency and flexibility of the control application deployment, we propose using a Satisfia...

Thorough verification is a part of the design process of instrumentation and control systems if they must comply with crucial safety requirements. Model checking can be applied to the formal model of such a system to reason about its correctness based on the specification provided. When a violation occurs, the model checking tool outputs the proof...

Ongoing standardization in Industry 4.0 supports tool vendor neutral representations of Piping and Instrumentation diagrams as well as 3D pipe routing. However, a complete digital plant model requires combining these two representations. 3D pipe routing information is essential for building any accurate first-principles process simulation model. Pi...

The global ambitions of a carbon-neutral society necessitate a stable and robust smart grid that capitalises on frequency reserves of renewable energy. Frequency reserves are resources that adjust power production or consumption in real time to react to a power grid frequency deviation. Revenue generation motivates the availability of these resourc...

This paper proposes a new concept in which a digital twin derived from a digital product description will automatically perform assembly planning and orchestrate the production resources in a manufacturing cell. Thus the manufacturing cell has generic services with minimal assumptions about what kind of product will be assembled, while the digital...

This article investigates how graph matching can be applied to process plant design data in order to support the reuse of previous designs. A literature review of existing graph matching algorithms is performed, and a group of algorithms is chosen for further testing. A use case from early phase plant design is presented. A methodology for addressi...

Primary frequency reserves in Northern Europe have traditionally been provided with hydro plants and fossil fuel-burning spinning reserves. Recently, smart distributed energy resources have been equipped with functionality needed to participate on frequency reserves. Key categories of such resources include photovoltaic systems, batteries, and smar...

Successful application of evolutionary algorithms for large scale practical problems requires careful consideration of all the different elements of the applied evolutionary approach. Recently, a method was introduced for automatic matching of connections in a closed-loop control system that uses evolutionary algorithm in conjunction with model che...

This paper proposes a formal model for industrial cyber-physical systems (CPS) with distributed control based on IEC 61499 standard and supporting time-aware computations for better adaptation to the ever changing environment conditions. Main features of the model include usage of timestamps, flattening, unified and independent behaviour of functio...

Programmable Logic Controllers (PLCs) execute critical control software that drives Industrial Automation and Control Systems (IACS). PLCs can become easy targets for cyber-adversaries as they are resource-constrained and are usually built using legacy, less-capable security measures. Security attacks can significantly affect system availability, w...

This two-wolume set (CCIS 1395-1396) constitutes the refereed proceedings of the Third International Conference on Futuristic Trends in Network and Communication Technologies, FTNCT 2020, held in Taganrog, Russia, in October 2020. The 80 revised full papers presented were carefully reviewed and selected from 291 submissions. The prime aim of the co...

Despite being one of the most reliable approaches for ensuring system correctness, model checking requires auxiliary tools to fully avail. In this work, we tackle the issue of its results being hard to interpret and present Oeritte, a tool for automatic visual counterexample explanation for function block diagrams. To learn what went wrong, the use...

The papers in this special section focus on emerging technologies and new trends in industrial informatics. Industrial informatics is a very dynamic and open-ended research area investigating the application of computing in different industrial domains. The international conference on Industrial Informatics (INDIN) was established by the IEEE Indus...

The global ambitions of a carbon-neutral society necessitate a stable and robust smart grid that capitalizes on frequency reserves of renewable energy. Frequency reserves are resources that adjust power production or consumption in real time to react to a power grid frequency deviation. Revenue generation motivates the availability of these resourc...

Researchers have proposed various models for assessing design alternatives for process plant retrofits. Due to the considerable engineering effort involved, no such models exist for the great majority of brownfield process plants, which have been in operation for years or decades. This article proposes a semi-automatic methodology for generating a...

Sucker-rod pumping systems are the most widely applied artificial lift equipment in the oil and gas industry. Accurate and intelligent working condition recognition of pumping systems imposes major impacts on oilfield production benefits and efficiency. The shape of dynamometer card reflects the working conditions of sucker-rod pumping systems, and...