Application of artificial intelligence for processing digital ultrasonic images in the shipbuilding industry
Halina Tańska
Jolanta Sala
Department of Research and Development Baltic Operator, GdanskBartosz Janiszewski
Department of Research and Development Baltic Operator, GdanskAbstract
The article describes the completed research and development work conducted for the shipbuilding industry by a scientific consortium from 2020 to 2023, and addresses selected aspects of the commercialization of the developed prototype solutions. The goal of the R&D project was to develop and implement a modern solution for quality control of welded joints and monitoring of the production process. The main perspective described in the article is the application of artificial intelligence (AI) and its rationality and efficiency, particularly in operational processes, such as welding production processes verified by the advanced PAUT ultrasonic method. The prototype UT/PA system is presented synthetically from the perspective of measurement and analytical components, focusing on the processing of ultrasonic images after measurements and their decision-making potential for improving the quality of welded joints. Synthetic conclusions of a methodological, operational, and strategic nature are highlighted. The planned direction for the continuation of the completed research and development work and the finalized commercialization is also presented.
Keywords:
shipbuilding industry, AI applications, production monitoring, quality control of welded joints, image processing, phased array ultrasonic testingReferences
Artificial Intelligence for Europe. 2018. COMMUNICATION FROM THE COMMISSION TO THE EUROPEAN PARLIAMENT, THE EUROPEAN COUNCIL, THE COUNCIL, THE EUROPEAN Google Scholar
ECONOMIC AND SOCIAL COMMITTEE AND THE COMMITTEE OF THE REGIONS {SWD(2018) 137 final}, COM(2018) 237 final, Brussels. Google Scholar
BELLMAN R. E. 1978. An Introduction to Artificial Intelligence: Can Computers Think?. Beyd & Fraser Publishing Company. Google Scholar
BERA A., GÓRSKI Z., PYSZKO R., SALA J, SZCZUREK A. 2022. Technologiczne aspekty produkcji okrętowej w kontekście badań nieniszczących i uzgodnień z towarzystwami klasyfikacyjnymi, Baltic Operator. Google Scholar
BERA A., GÓRSKI Z., JANISZEWSKI B., PYSZKO R., SALA J, SZCZUREK A. 2023. Modele i prototypy pilotażowego stanowiska badawczego z wykorzystaniem systemu UT/PA do stacjonarnej i mobilnej diagnostyki jakości spoin grupy asortymentowej „wielkogabarytowe sekcje spawane” w Baltic Operator, Baltic Operator. Google Scholar
CHARNIAK E., MCDERMONTT D. 1985. Introduction to Artificial Intelligence. Addition-Vesley. Google Scholar
DUDYCZ H. 2012. Wizualne wyszukiwanie informacji na bazie sieci Semantycznej mapy pojęć. Kierunek rozwoju Systemów Business Intelligence, Zeszyty Naukowe Uniwersytetu Szczecińskiego Nr 702, Ekonomiczne Problemy Usług Nr 87/2012, s.365-373. Google Scholar
HAUGELAND J. (ed.). 1985. Artificial Intelligence: The Very Idea, MIT Press. Google Scholar
JANISZEWSKI B. 2022. Słownik pojęć i objaśnień dotyczący połączeń spawanych oraz niezgodności spawalniczych, Baltic Operator. Google Scholar
JANISZEWSKI B., SALA J. 2023. Power Business Intelligence. Aspekty narzędziowe, Baltic Operator. Google Scholar
KURZWEIL R. 1990. The Age of Intelligent Machines. MIT Press. Google Scholar
LEWANDOWSKI M., ROZBICKI J., SMARCH H., KARWAT P., SZCZUREK A., SALA J., BERA A. 2022. Modelowe rozwiązania skanerów UTPA do badań spawów dla wież wiatrowych, sekcji płaskich oraz konstrukcji wielkogabarytowych on-shore / off-shore Model solutions of UTPA scanners for weld testing of wind towers, flat sections, and large-scale on-shore. Badania Nieniszczące i Diagnostyka. vol. 6, pp. 89–92, doi: 10.26357/BNID.2022.010. Google Scholar
Main Science and Technology Indicators. 2022. OECD, Volume 2022, Issue 2 Google Scholar
https://read.oecd-ilibrary.org/science-and-technology/main-science-and-technology-indicators/volume-2022/issue-2_1cdcb031-en#page3 Google Scholar
MCCARTHY J. 1990. Artificial Intelligence, logic and formalizing common sense. Computer Science Department Stanford University.
Crossref
Google Scholar
NILSSON N. J. 1998. Artificial Intelligence: A New Synthesis. Morgan Kaufmann. Google Scholar
POOLE D., MACKWORTH A. K., GOEBEL R. 1998. Computational intelligence: A logical approach. Oxford: University Press. Google Scholar
RICH E., KNIGHT K. 1991. Artificial Intelligence. McGraw-Hill. Google Scholar
RUSSELL, S., NORVIG, P. 2010. Artificial Intelligence a modern Approach. New Jersey: Google Scholar
Pearson Education, Inc. publishing as Prentice Hall. Google Scholar
SALA J., TAŃSKA H. 2013. Information management in Polish industry. Diagnosis of the transformation results. In: Zarządzanie i finanse. Journal of Management and Finance, 3(1). Gdańsk: Wydawnictwo Uniwersytetu Gdańskiego. Google Scholar
SALA J., TAŃSKA H. 2014. Determinants of innovation transfer. Technical Sciences, 17(1). Google Scholar
SALA J., TAŃSKA H. 2015. Model of ICT knowledge transfer and its implementation in industry. In: Information Management in practice. B.F. Kubiak, J. Maślankowski (ed.). Gdańsk: Faculty of Management University of Gdańsk. Google Scholar
SALA J., TAŃSKA H. 2022. Instrumentalizacja sztucznej inteligencji w polityce aktywności naukowej w Polsce. Nierówności Społeczne a Wzrost Gospodarczy, nr 71 (3/2022), s.96-117.
Crossref
Google Scholar
SALA J., TAŃSKA H. 2023. Methodological aspects of innovation of project and production businesses. In: Contemporary challenges. In management and economy in the area of covid-19. M. Suder, M. Woźniak (ed.). p.61-71. Kraków. Google Scholar
SALA J., TAŃSKA H. 2024. Inkluzyjne opóźnienie przezwyciężenia opóźnień technologicznych polskiej gospodarki. W: Nierówności Społeczne a Wzrost Gospodarczy. Uniwersytet Rzeszowski. Rzeszów (w druku 2024).
Crossref
Google Scholar
Scoping the OECD AI Principles Deliberations of the Expert Group on Artificial Intelligence at the OECD (AIGO). 2019. OECD Digital Economy Papers No. 291. Google Scholar
https://www.oecd-ilibrary.org/docserver/d62f618a-en.pdf?expires=1603987342&id=id&accname=guest&checksum=28E90DC24CF15EF5DCB93E1076E7ED08. Google Scholar
ŚLIWOWSKI M. 2022. Zautomatyzowane badania systemami PA + TOFD - wdrażanie i zastosowania PA + TOFD testing by automated UT systems - implementation and applications, vol. 4, pp. 50–62, doi: 10.26357/BNID.2022.007. Google Scholar
Uchwała nr 196 Rady Ministrów z dnia 28 grudnia 2020 r. w sprawie ustanowienia „Polityki Google Scholar
dla rozwoju sztucznej inteligencji w Polsce od roku 2020”. 2021. M.P. z dnia 12 stycznia 2021 r., poz. 23. Google Scholar
WINSON P. H. 1992. Artificial Intelligence. New York: Addison-Wesley. Google Scholar
Department of Research and Development Baltic Operator, Gdansk
Department of Research and Development Baltic Operator, Gdansk
