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作者： Pavol Kuchár Martin Vároš Rastislav Pirník Júlia Kafková Juraj Kekelák Giovanni Garraffa Dana Šišmišová Dpt. of Control and Information Systems FEIT University of Zilina Zilina Slovakia Faculty of Engineering and Architecture University of Enna Kore Enna Italy ZTS - Výskum a Vývoj a.s. Lieskovec 598/75 Dubnica nad Váhom Slovakia

ISBN: (数字)9798350372359

ISBN: (纸本)9798350372366

The increasing global concern regarding humane pest control methods and the need for effective small mammal management in various environments have prompted the development of innovative technologies. This paper presents our ongoing design of a novel smart non-lethal trap prototype for small animals equipped with an ESP32-CAM and PIR sensor. To differentiate between domestic pets and rodents, ResNet50 is utilised and capable of classifying five animals: cats, dogs, martens, rat or mice, and hedgehogs. Traditional rodent control methods often rely on lethal means, which pose ethical and ecological challenges. Most pest control businesses also use the labour-intensive strategy of physically setting up and maintaining rodenticide bait stations on a commercial basis. To address these issues, our prototype leverages the capabilities of the ESP32-CAM to create an intelligent non-lethal trapping solution with the ability to remotely free unwanted captured animals via the cloud.

关键词： Ethics Cloud computing Prototypes Rodents Dogs Pest control Rats

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Results From a Large-Scale IoT-based Intervention for Energy Saving and Sustainability Awareness via Behavior Change in 25 K-12 Schools in Europe

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IEEE Internet of Things Journal 2025年

作者： Mylonas, Georgios Amaxilatis, Dimitrios Paganelli, Federica Chatzigiannakis, Ioannis Koulouris, Pavlos Falkouskaya, Yelizaveta Markopoulos, Panos Athena Research Center Industrial Systems Institute Patras26504 Greece Comp. Tech. Institute and Press "Diophantus" 26504 Greece Spark Works Ltd GalwayH91 AHR1 Ireland Univ. of Pisa Dpt. of Computer Science Pisa56127 Italy CNIT Florence50134 Italy Sapienza University of Rome Dpt. of Computer Control and Management Engineering 00185 Italy Ellinogermaniki Agogi Athens Greece Eindhoven University of Technology AI Systems Institute Industrial Design Noord-Brabant Eindhoven5612 AE Netherlands

The unfolding climate crisis has resulted in a rising interest for increasing sustainability awareness and achieving energy savings worldwide. Several interventions within educational environments have been aimed at mobilizing younger audiences towards such goals. However, most of the interventions carried out so far are based on a subset of possible tools (e.g., IoT monitoring, gamification) and offer "all or nothing"approaches, which do not cope well with the uniqueness of schools and the need to adapt interventions to specific contexts (e.g. school size, building, curriculum, teacher involvement). We present a large-scale intervention in 25 school buildings in Europe over the course of two school years. Our intervention was based on the installation of a relatively low-cost IoT infrastructure in schools, that produced real-time energy-related data from the school buildings involved, and the application of a strategy combining, in a flexible and customizable way, educational activities, monitoring tools, gamification, and competition to motivate behavior change and achieve energy savings. Overall, 2983 students and 204 educators were directly involved to a variable degree of participation. Our results indicate a positive overall result in terms of short-term energy savings in most schools involved, with an average reduction of 20-25% in the energy that could be affected by end-users, as well as a 32.9% increase after the intervention in students self-reporting good or very good sustainability awareness. These findings suggest that such interventions can be a valuable step towards educating young students regarding sustainability and towards sustainable schools, if designed and implemented properly. © 2014 IEEE.

关键词： Behavior Change Education for Sustainable Development Energy Literacy Energy Saving Environmental Education Gamification Internet of Things K-12 Sustainability Sustainable Smart Schools

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Non-intrusive Time-POD for Optimal control of a Fixed-Bed Reactor for CO 2 Methanation

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IFAC-PapersOnLine 2021年第3期54卷 122-127页

作者： Jens Bremer Jan Heiland Peter Benner Kai Sundmacher Max Planck Institute Magdeburg Dpt. Process Systems Engineering Sandtorstraße 2 39106 Magdeburg Germany and Otto von Guericke University Magdeburg Chair for Process Systems Engineering Universitätsplatz 2 39106 Magdeburg (Sundmacher) Max Planck Institute Magdeburg Dpt. Computational Methods in Systems and Control Theory and Otto von Guericke University Magdeburg Fakultät für Mathematik

The optimization of a controlled process in a simulation without access to the model itself is a common scenario and very relevant to many chemical engineering applications. A general approach is to apply a black-box optimization algorithm to a parameterized control scheme. The success then depends on the quality of the parametrization that should be low-dimensional though rich enough to express the salient features. This work proposes using solution snapshots to extract dominant modes of the temporal dynamics of a process and use them for low-dimensional parametrizations of control functions. The approach is called proper orthogonal decomposition in time (time-POD). We provide theoretical reasoning and illustrate the performance for the optimal control of a methanation reactor.

关键词： Optimal control Model order reduction Proper orthogonal decomposition Fixed-bed reactor Carbon dioxide methanation Nonlinear programming Black-box model

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Closed-loop Scheduling in a canned food factory

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IFAC-PapersOnLine 2020年第2期53卷 10791-10796页

作者： C.G. Palacín C. Vilas A.A. Alonso José L. Pitarch C. de Prada Systems engineering and Automatic Control Dpt. University of Valladolid Valladolid Spain (Bio)Process engineering Group Instituto de Investigaciones Marinas (CSIC) Vigo Spain

This paper addresses the problem of closed-loop operation of scheduling, together with the interaction of control and scheduling, for a class of processes that appear very often in industry: those that combine continuous production lines with parallel batch units that share some resources. The paper presents a novel approach to this problem, including batching and a new type of precedence in the assignment problem. It also considers the effect of shared resources on the duration of the cycle time of the batch units. The approach is illustrated with a real-life example of a canned tuna factory

关键词： Integration of scheduling control shared resources tuna cans sterilisation process optimisation continuous-batch process scheduling

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Modelling and control of a concentrating solar power plant prototype 30

Modelling and control of a concentrating solar power plant p...

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30th Irish Signals and systems Conference, ISSC 2019

作者： Heidary, Amir Mousavi, S. Mahdi Rouzbehi, Kumars Escano, Juan Manuel Amirkabir University Dpt. of Electrical Engineering Tehran Iran Ege University Dpt. of Mechanical Engineering Izmir Turkey University of Seville Dpt. of System Engineering and Automatic Control Seville Spain

ISBN: (纸本)9781728128009

This paper presents a type of solar thermal power plant and also studies the efficiency of the common type of this distributed generation resource. In order to improve the efficiency of the power station, several techniques are studied such as the combined cycle plant, the thermoelectric generator and the intelligent control application. The thermodynamic analysis of the power plant and the performance of the equipment with an intelligent control system are validated by the developed experimental prototype. © 2019 IEEE.

关键词： Solar energy

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Robust Voltage control in DC Networks with Uncertain Nonlinear Load Dynamics

Robust Voltage Control in DC Networks with Uncertain Nonline...

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IEEE Conference on Decision and control

作者： Amirreza Silani Giacomo Casadei Michele Cucuzzella Jan C. Wilems Center for Systems and Control ENTEG Faculty of Science and Engineering University of Groningen AG Groningen The Netherlands Control & Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Laboratoire Ampere Dpt. EEA of the Ecole Centrale de Lyon Université de Lyon Ecully France Department of Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

In this letter, we propose a control scheme for regulating the voltage in Direct Current (DC) power networks. In contrast with other works in the literature where the loads are assumed to be constant, we consider uncertain time-varying loads described as the outputs of nonlinear dynamical exosystems with uncertain parameters. Based on the output regulation methodology, the proposed control scheme ensures the robust stability of the overall network and achieves voltage regulation in presence of impedance (Z), current (I), and power (P) loads. The simulation results illustrate excellent performance of the proposed control scheme.

关键词： Robust stability Simulation Regulation Impedance Voltage control

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Design of Mobile Manufacturing System For Extraction of Fuel From Lunar Soil

Design of Mobile Manufacturing System For Extraction of Fuel...

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2019 International Russian Automation Conference, RusAutoCon 2019

作者： Desyatirikova, Elena N. Chernenkii, Andrei V. Dpt. of Control systems and Information technologies in Construction Voronezh State Technical University Voronezh Russia Highest Engineering School Peter the Great St.Petersburg Polytechnic University St.Petersburg Russia

ISBN: (纸本)9781728102658

Open space exploration is difficult to carry out directly from the Earth's surface. Lunar bases, the construction of which is announced by various countries, are considered as transit points for spaceships and spacecrafts heading further to the planets of the Solar system and open space. However, for any movement in the space the energy is required, and the source of the energy is fuel. It is not always advisable and almost impossible to deliver the needed amount of a fuel to the Moon from the Earth. In this paper we consider one of the possible solutions to build a flexible mobile production system for producing of a fuel from the ore, which could be found on the lunar surface. The technology for such reprocessing has already been defined, then, a system is required that will be able to produce fuel and supply spaceships and spacecrafts in an autonomous mode. The specifics and composition of such system are described, the layout of the system was simulated. The calculations of the core resource of the system are provided. © 2019 IEEE.

关键词： Lunar missions

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Application of SOS-constrained regression to model unknown reaction kinetics

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IFAC-PapersOnLine 2021年第3期54卷 395-400页

作者： José Luis Pitarch Daniel A. Montes César de Prada Antonio Sala Systems Engineering and Automatic Control DPT EII Universidad de Valladolid. C/Real de Burgos s/n 47011 Valladolid Spain Instituto Universitario de Automática e Informática Industrial Universitat Politècnica de València. Camino de Vera S/N 46022 Valencia Spain Institute of Sustainable Processes. C/Real de Burgos s/n 47011 Valladolid Spain

The key idea of the fourth industrial revolution is to use the huge amount of data from the increased process digitalisation in order to make better decisions at all levels: from the design and control, to operation and management. However, advanced decision support systems usually rely on good plant models. Despite the increased popularity of machine learning, in the process industry many of these approaches may fail in building reliable prediction models: that is, models whose output can be trusted even out of the region where actual data was collected. This paper illustrates how to get a reliable grey-box model of a chemical plant for optimisation purposes via sum-of-squares (SOS) constrained regression, a method that guarantees full enforcement of physical features on the identified model, no matter the quality and quantity of the collected data. The approach is used here to identify a reliable model for the reaction kinetics in a hybrid CSTR, a pilot plant where the chemical reactions are emulated over a harmless fluid.

关键词： Data-driven models Process identification Hybrid plant SOS programming sparse datasets

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Energy-efficient Operation of a Medium Density Fibreboard Dryer Through Nonlinear MPC

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IFAC-PapersOnLine 2019年第1期52卷 400-405页

作者： Pedro Santos José L. Pitarch César de Prada Systems Engineering and Automatic Control DPT Sustainable Processes Institute Universidad de Valladolid. C/Real de Burgos s/n 47011 Valladolid Spain

Medium density fibreboard (MDF) is a popular and cheap wood-based panel for which an accurate control of the fiber humidity is key to get the desired product quality. The drying dynamics is nonlinear and spatially dependent, with strong interactions between air humidity, temperature, flow, type of wood and chips size. This translates in several complex phenomena, difficult to model accurately by first principles. The end aim in this work is implementing a model predictive control (MPC) for an industrial MDF dryer which reaches the desired fiber humidity by the most energy-efficient control path. To this aim, a suitable grey-box model of the dryer is developed first. Then, based on it, a moving-horizon estimator is used to infer the unmeasured process inputs and model parameters, which provides the required inputs to a tracking MPC with economic considerations. An efficient implementation of the optimization problems has been done using orthogonal collocation for model discretization and modern software for large-scale problems, including automatic differentiation and a sparse interior point solver. Previously to the actual implementation on-site, the proposed controller is tested in simulation with a detailed distributed-parameter model of a generic MDF dryer.

关键词： Process control Efficiency enhancement Semi-empirical models MPC MDF dryer

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Optimal Coordination Of Batch Processes with Shared Resources

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IFAC-PapersOnLine 2019年第1期52卷 826-831页

作者： Carlos G. Palacín Cesar de Prada Dpt. Of Systems Engineering and Automatic Control Escuela de Ingenierías Industrials Sede Mergelina Universidad de Valladolid C/Real de Burgos s/n Valladolid 47011 SPAIN Institute of Sustainable Processes (IPS) University of Valladolid C/Real de Burgos s/n Valladolid 47011 SPAIN

This paper deals with the scheduling of batch processes that share common resources having consumption profiles that change over time and are subjected to some global constraints. In order to approach the problem, the formulation mixes three different time basis. Scheduling is performed in continuous time, but the description of the shared resources and the global constraints uses discrete values. The method is applied to a challenging problem in a tuna canning factory that mixes continuous flows of cans with the batch operation of a set of sterilizers sharing the steam supply line.

关键词： Process scheduling shared resources tuna cans sterilization process optimization continuous-batch process scheduling

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