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Development of a Fuzzy Inference Based Solar Energy Controller for Smart Marine Water Monitoring
Volume 32, Issue 4 (2021), pp. 795–816
Pub. online: 10 December 2021      Type: Research Article      Open accessOpen Access
Received
1 September 2021
Accepted
1 December 2021
Published
10 December 2021

Abstract

Nowadays, there is a lack of smart marine monitoring systems, which have possibilities to integrate multi-dimensional components for monitoring and predicting marine water quality and making decisions for their optimal operations with minimal human intervention. This research aims to extend the smart coastal marine monitoring by proposing a solar energy planning and control component. The proposed approach involves the adaptive neuro-fuzzy inference system (ANFIS) for the wireless buoys, working online during the whole year in the Baltic Sea near the Lithuanian coast. The usage of our proposed fuzzy solar energy planning and control components allows us to prolong the lifespan of batteries in buoys, so it has a positive impact on sustainable development. The novelty and advantage of the proposed approach lie in establishing the ANFIS-based model to predict and control solar energy in a buoy for different lighting and temperature conditions depending on the four year seasons and to make a decision to transfer the collected data. The energy planning and consumption system for the wireless sensor network of buoys is carefully evaluated, and its prototype is developed. The proposed approach can be practically used for environmental monitoring, providing stakeholders with relevant and timely information for sound decision-making about hydro-meteorological situations in coastal marine water.

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Biographies

Kalibatienė Diana
diana.kalibatiene@vilniustech.lt

D. Kalibatienė is a full-time professor at the Department of Information Systems, Faculty of Fundamental Sciences, Vilnius Gediminas Technical University (VilniusTECH), Lithuania. In 2009, she defended a PhD in Technological Sciences, Informatics Engineering at VilniusTECH on the topic Ontology-Based Development of Domain Rules. She is the co-author of more than 45 research papers and the book Advanced Databases. She gives lectures for students on software systems engineering, supervises doctoral students, participates in the study and research projects, prepared two bachelor study programmes (“Information Systems” and “Software Engineering”) and is a programme committee chair of master study programme “Information Systems Software Engineering”. She delivered lectures at Palermo University (Sicily, Italy), University of La Laguna (Tenerife, Spain) and University of Ruse (Ruse, Bulgaria). Currently, D. Kalibatienė is the guest editor of a special issue of the journal Applied Sciences. She is a member of programme committee of the International Baltic Conference on Digital Business and Intelligent Systems (Baltic DB&IS 2022). She actively reviews research papers, project applications and study work, and makes presentations in international conferences. Her research interests include modelling and development of information systems based on business rules and ontology; modelling and simulation of knowledge-based multi-objective dynamic business processes; application of multi-criteria decision-making methods to solve engineering tasks; application of fuzzy set theory to model, plan and predict the concept of quality in various subject areas.

Miliauskaitė Jolanta
jolanta.miliauskaite@mif.vu.lt

J. Miliauskaitė is a junior researcher at Vilnius University (VU) (Lithuania) Institute of Data Science and Digital Technologies Department of Cyber-Social Systems Engineering Group. In 2015, she defended a PhD in Technological Sciences, Informatics Engineering at VU on the topic A Fuzzy Inference-Based Approach to Planning Quality of Enterprise Business Services. She is the co-author of research papers in the field of computer sciences. She is an assistant at VU Faculty of Mathematics and Informatics and a docent at Vilnius Gediminas Technical University (Lithuania) Faculty of Fundamental Sciences Department of Information Systems. She participated in the project of EU Structural Funds “Theoretical and Engineering Aspects of E-Service Technology Development and Application in High-Performance Computing Platforms”. She is a member of organising committee of the International Baltic Conference on Databases and Information Systems (Baltic DB&IS 2012, Baltic DB&IS 2018). She is a member of Lithuanian Computer Society (LIKS). She reviews research papers, study work, and makes presentations in international conferences. Her research interests include enterprise business services, service-oriented enterprise systems, web service composition, quality of service modelling and evaluation in service-oriented enterprise systems; application of multi-criteria decision-making methods to solve engineering tasks; application of fuzzy set theory to model, plan and predict the concept of quality in various subject areas.

Dzemydienė Dalė
https://orcid.org/0000-0003-1646-2720
dale.dzemydiene@mif.vu.lt

D. Dzemydienė is a professor, doctor, senior researcher working at the Cyber-Social Systems Engineering Group in the Institute of Data Science and Digital Technologies at the Faculty of Mathematics and Informatics of Vilnius University (Lithuania). She obtained a diploma with honour of applied mathematics in specialization of software engineering in 1980, PhD of mathematics-informatics sciences in 1995, completed the habilitated doctor procedure in the field of social sciences of management and administration in 2004. She has published about three hundred research articles, three manual books and one monograph book. She is an organizer of international conferences in the area of information systems and database development. She is the head of the Legal Informatics Section of Lithuanian Computer Society (LIKS), member of European Coordinating Committee for Artificial Intelligence (ECCAI) and member of Lithuanian Operation Research Association. Her research interests include: artificial intelligence methods, knowledge representation and decision support systems, wireless computing, evaluation of sustainable development processes.

Maskeliūnas Saulius
saulius.maskeliunas@mif.vu.lt

S. Maskeliūnas is a doctor of informatics sciences, working as a researcher at the Cyber-Social Systems Engineering Group in the Institute of Data Science and Digital Technologies of Vilnius University, Lithuania. He has defended the diploma in engineering and system-technical sciences at the Kaunas University of Technology (1984); PhD in informatics sciences (1996). He was the co-author and the system analyst of the projects “Governmental administrative information system VADIS” (1996–1998), “Long-term assistance on information and reporting, information management programme” (2000–2001), “Transposition of the EU Water Framework Directive and Elaboration of a National Strategy for the Management of Water Resources in Lithuania” (2002), “Implementation of the EU Water Framework Directive, Lithuania, Meeting 2006 Deadlines” (2003–2004); task leader of the project “Lithuania – RTD Technological Audit: a complex study of ICT RTD potential in Lithuania” (2009–2010), National open access research data archive MIDAS (2012–2015). He is an author of about 50 research articles. His research interests: information and knowledge-based systems, ontological engineering, semantic web, web services, scientometrics, knowledge management.


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Keywords
marine water monitoring buoys adaptive neural fuzzy inference system (ANFIS) fuzzy controller wireless sensor network (WSN) Photovoltaic (PV) system energy optimization

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