Issue №35

Shipping-and-Navigation-Issue-35-2023

Зміст випуску

I. Burmaka, B. Alieksieichuk, Accuracy of coordinates for determining the ship's position, calculated by the least squares method, in case of redundant measurements
DOI: 10.31653/2306-5761.35.2023.10-21 | PDF
Abstract

This article discusses the accuracy of the vessel’s position coordinates, calculated using the least squares method, in the presence of redundant line positions (LP) over time, assuming the LP error is normally distributed. It is stated that for a normal error distribution, the least squares method is the maximum likelihood method, thus the norm of the positional error covariance matrix is minimized, ensuring the highest accuracy of the vessel’s position coordinates. Field observation results are presented, where experimental data were obtained, demonstrating the possibility of altering navigational parameters. Following the adjustment of navigational parameters, a series of tests were conducted, exceeding 100 in total. The analysis of these results indicates that deviations in navigational parameterization, achieved over a limited time interval, conform to the normal law of variability distribution. Adjustments to the parameters over a larger interval are subject to changes in the laws of change, with the degree of power of some of the normal law proportional to the interval of the series value of the navigational parameter. It is demonstrated that the efficiency of observing the vessel’s coordinates, calculated by the least squares method during times of redundant LP, the errors of which can be calculated according to different laws, is less than one. To evaluate the efficiency of coordinate observation derived from overly large LP and gaps using the least squares method, a computer simulation was performed. During this simulation, efficiency values were compared with the highest theoretically achievable efficiency values, as outlined in the article, and the difference between them in the case of high-technological parameters was less than 22.0%. The simulations conducted showed good agreement between the efficiency assessments derived from analytical expressions and those obtained from the simulations, thereby confirming the validity of the analytical method for evaluating the efficiency of observed coordinates, calculated by the least squares method.

Keywords: navigational safety, accuracy of coordinates assignment, change of law and subdivision, simulation modelling.

References

1. Pavić I. Analysis of Crowdsourced Bathymetry Concept and It’s Potential Implications on Safety of Navigation/ Pavić I., Mišković J., Kasum J., Alujević D.// TransNav, International journal on marine navigation and safety of sea transportation, Vol. 14, No. 3, pp. 681-686, 2020.
2. Malić E. A Method and a Model for Risk Assessment of GNSS Utilisation with a Proof-of-Principle Demonstration for Polar GNSS Maritime Applications/ Malić E., Sikirica N., Špoljar D., Filjar R.// TransNav, International journal on marine navigation and safety of sea transportation, Vol. 17, No. 1, pp. 43-50, 2023.
3. Džunda M., Čikovský S., Melniková L.: Model of the Random Phase of Signal E6 of the Galileo Satellite Navigation System/ Džunda M., Čikovský S., Melniková L. // TransNav, International journal on marine navigation and safety of sea transportation, Vol. 17, No. 1, pp. 61-68, 2023.
4. Džunda M. Model of the Signal of the Galileo Satellite Navigation System/ Džunda M., Čikovský S., Melniková L.// TransNav, International journal on marine navigation and safety of sea transportation, Vol. 17, No. 1, pp. 51-59, 2023
5. Džunda M. Model of the Motion of a Navigation Object in a Geocentric Coordinate System / Džunda M.// TransNav, International journal on marine navigation and safety of sea transportation, Vol. 15, No. 4, pp. 791-794, 2021.
6. Monteiro Luis. What is the accuracy of DGPS? / Sardinia Monteiro Luis, Moore Terry, Hill Chris. // J. Navig. 2005. 58, № 2, p. 207-225.
7. Kondrashikhin V.T. Location of ship / Kondrashikhin V.T. – M.: Transport, 1989. – 230s. [in Russian].
8. Hsu D. A. An analysis of error distribution in navigation / Hsu D. A. // The Journal of Navigation. – Vol. 32.- № 3. – P. 426 – 429.
9. Astaykin D.V. Authentication of laws of distributing of navigation errors by the mixed laws of two types /Astaykin D.V., Alekseychuk B.M.// Avtomatizatsiya sudovyh tehnicytskih sredstv: nauch.-tehn. sb. – 2014. – Vyp. 20. Odessa: ONMA. – P. 3 – 9. [in Russian].
10. Alekseychuk B.M. Authentication of law of distributing of errors of measuring / Alekseychuk B.M., Pasechnyuk S.S. // Sudovozhdenie: Sb. nauchn. trudov./ONMA, Vyp. 27. – Odessa: «IzdatInform», 2017 – P. 10 – 14. [in Russian].
11. Astayrin D.V. Estimation of exactness of coordinates of ship at the surplus measuring / Astayrin D.V., Sikirin V.E., Vorokhobin I.I., Alekseychuk B.M. – Saarbrucken, Deutschland/ Germaniya: LAP LAMBERT Academic Publishing, 2017. – 274 p. [in Russian].
12. Sikirin V.E. Description of navigation errors by the generalized distributing of Puasson / Sikirin V.E.// Sudovozhdenie: Sb. nauchn. trudov./ONMA, Vyp. 26. – Odessa: «IzdatInform», 2016 – P. 152 – 156. [in Russian].
13. Vorokhobin I.I. Location ship at surplus measuring by application of orthogonal decomposition of closeness of distributing of errors of navigation measuring / Vorokhobin I.I., Astaykin D.V. // Austria – science, Issue: 11, 2018. – P. 39 – 44. [in Russian].
14. Mudrov V.M. Methods of treatment of measurings / Mudrov V.M., Kushko V.L. – M.: Sovetskoe radio, 1976. -192 p. [in Russian].
15. Burmaka I.A. Estimation of efficiency of coordinates of ship at the surplus measuring / Burmaka I.A., Astaykin D.V., Alekseychuk B.M. // Vestnik Gosudarstvennogo univtrsiteta morskogo i rechnogo flota im. admirala S.O. Makarova. Sankt-Peterburg. – 2016. – vypusk 1 (35). – P. 24 – 29. [in Russian].

L. Vagushchenko, A. Kozachenko, Aspects of digitalization of ship collision avoidance regulations
DOI: 10.31653/2306-5761.35.2023.22-33 | PDF
Abstract

The study is devoted to the development of proposals that would allow for a more complete consideration of the requirements for actions to avoid ships in various situations. On the basis of the analysis of methods for ensuring safe avoidance it is established that the most suitable variant of setting safety limits can be considered as target domains. It is noted that when passing by target at long distance, it is necessary to take into account in domain the features of own ship and that target. The first vessel is considered as a point when solving the problems of collision avoidance in this case. When it is necessary to pass by at a short distance, the size of the own ship is not taken into account in the target domains. Own ship is represented as a rectangle with sides equal to her length and width. It is noted that the most appropriate way to prevent collisions with navigational obstacles is to use the boundaries of safe bearing, distances, lanes, depths (isobaths, “no go areas” contours) in onboard collision avoidance systems. These boundaries should be stored in the system memory. An indicator for determining the significance of a change in course or/and speed is proposed. The method is chosen and the duration of maneuver calculation is found with its help, at which the results obtaining will be considered in real time. The necessity to disregard point (b) in COLREGs Rule 14 when automatically determining the type of situations is justified, as its taking into account reduces the number of existing variants of approaching ships with the risk of collision on opposite courses. A refined list of binary situations affecting the choice of maneuvers in free waters in normal visibility is presented. The actions answering the binary situations and not contradicting COLREGs are proposed for power driven ships and vessels with different navigational status in free waters in normal visibility. Eight types of acceptable action zones were identified and prioritized to select maneuvers in the presence of moving and stationary obstacles. The maneuver option is selected in the zone with the highest priority.

Keywords: collision avoidance, domain of danger, binary situations, compliance with COLREGs, zones of acceptable actions.

References

1. Ahmed, Y.A.; Hannan, M.A.; Oraby, M.Y.; Maimun, A. COLREGs Compliant Fuzzy-Based Collision Avoidance System for Multiple Ship Encounters. J. Mar. Sci. Eng. 9, 2021, 790.
2. Banaś P., Breitsprecher M.: Knowledge Base in the Interpretation Process of the Collision Regulations at Sea. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 5, No. 3, 2011. 359-364,
3. Cymbal N.N., Buzbeckiy R.Y. Formalization of COLREGs in terms of coordination of ship-to-ship interaction when evading. Navigation. № 12: 2006. 124 – 129.
4. Eriksen B-OH, Bitar G, Breivik M and Lekkas A.M/ Hybrid Collision Avoidance for ASVs Compliant With COLREGs Rules 8 and 13–17. Front. Robot. AI 7:11. 2020.
5. Hannaford, E., Maes, P. & Van Hassel, E. Autonomous ships and the collision avoidance regulations: a licensed deck officer survey. WMU J Marit Affairs 21, 2022. 233–266.
6. Huang, Y., Chen, L., Chen, P., Negenborn, R. R., & van Gelder, P. H. A. J. M. Ship collision avoidance methods: State-of-the-art. Safety Science, 121, 2020. 451-473.
7. Jesús A. García Maza, Reyes Poo Argüelles. COLREGs and their application in collision avoidance algorithms: A critical analysis. Ocean Engineering 261. 112029, 2022. 1-14.
8. Lazarowska, A. Review of Collision Avoidance and Path Planning Methods for Ships Utilizing Radar Remote Sensing. Remote Sens. 13, 2021. 3265.
9. Malcev A.C., Tjupikov E.E., Vorohobin I.I. Vessel maneuvering at evading/ Morskoy trenazerniy centr, Odessa. 2013, 304 p.
10. Perera L. P., Batalden B. M. Possible COLREGs Failures under Digital Helmsman of Autonomous Ships. OCEANS – Marseille, France, 2019, pp. 1-7.
11. Pietrzykowski Z., Malujda R. Applicability of fuzzy logic to the COLREG rules interpretation. Scientific Journals. Maritime University of Szczecin. 30(102). 2012. Pp. 109–114.
12. Salous M., Hahn A., Denker C. COLREGs-Coverage in Collision Avoidance Approaches: Review and Identification of Solutions. 12th International Symposium on Integrated Ship’s Information Systems & Marine Traffic Engineering Conference. Hamburg. 2016. Pp. 1-10.
13. Varas J. M., Hirdaris S., Smith R., Scialla P., Caharija W., Bhuiyan Z., Mills T., Naeem W., Hu L., Renton I., Motson D., Rajabally E. MAXCMAS Project – Autonomous COLREGs Compliant Ship Navigation. 16th International Conference on Computer and IT Applications in the Maritime Industries. – Cardiff, Hamburg, Technische Universität Hamburg-Harburg, – 2017. Pp. 454-465.
14. Wróbel K., Gil M., Huang Y., Wawruch R. The Vagueness of COLREG versus Collision Avoidance Techniques. – A Discussion on the Current State and Future Challenges Concerning the Operation of Autonomous Ships. Sustainability. 14, 2022, 16516.

O. Volkov, Autonomous surface auxiliary vessels: advantages and problems
DOI: 10.31653/2306-5761.35.2023.34-42 | PDF
Abstract

With the continuous progress of modern science and technology and the increasing requirements for marine transport in various fields, the intelligence and automation of ships has become a general trend. Autonomous unmanned surface vessel (UASV) control generally includes UASV trajectory planning, path tracking control, and autonomous collision avoidance control. Due to their low cost, small size, fast action, reconnaissance capabilities and other advantages, BPNS play a very important role in everyday life, emergency response and scientific research. UASV, as a rule, consist of a platform and a payload system. But in the whole process of UASV navigation, autonomous mooring is also an important part. And there are fewer studies on the automatic mooring algorithm of UASV. The advanced technology of autonomous mooring of BPNS can effectively reduce the cost of human, material and financial resources, while reducing the accident rate in a reasonable and safe manner. Therefore, it is very important to comprehensively promote the development of autonomous navigation and mooring technology of UASV.

Keywords: Autonomous unmanned surface vessel (UASV), autonomous mooring.

References

1. Mazur V. Yu., Borovik O. V. Funktsіonalniy analіz varіantіv stvorennya єdinoї sistemi visvіtlennya nadvodnoї obstanovki na morskіy (rіchkovіy) dіlyantsі v kontekstі zabezpechennya prikordonnoї bezpeki //Zbіrnik naukovikh prats Natsіonalnoї akademії Derzhavnoї prikordonnoї sluzhbi Ukraїni. Ser.: Vіyskovі ta tekhnіchnі nauki. – 2017. – №. 4. – S. 158-175.
2. Zlobіna O. Perspektivnі napryamki vdoskonalennya pіdgotovki maybutnіkh morskikh ofіtserіv u vishchikh vіyskovikh navchalnikh zakladakh v umovakh vіyskovikh realіy //Vіsnik Natsіonalnogo unіversitetu” Chernіgіvskiy kolegіum” іmenі TG Shevchenka. – 2022. – T. 174. – №. 18. – S. 60-65.
3. Dubov O. V., Petrovskiy O. G., Fіlonenko O. V. Moskіtniy flot Vіyskovo-Morskikh Sil Zbroynikh Sil Ukraїni: perspektivi ta realії //Zbіrnik naukovikh prats Vіyskovoї akademії (m. Odesa). Tekhnіchnі nauki. – 2017. – №. 2. – S. 117-126.
4. Koyto Zh. Morskі avtonomnі nadvodnі korablі: Novі mozhlivostі ta vikliki v okeanіchnomu pravі ta polіtitsі // Doslіdzhennya mіzhnarodnogo prava. – 2021. – T. 97. – №. 1. – S.
5. Kim T., Schröder-Hinrichs J. U. Research developments and debates regarding maritime autonomous surface ship: status, challenges and perspectives //New Maritime Business: Uncertainty, Sustainability, Technology and Big Data. – 2021. – С. 175-197.
6. Zhang X. et al. Collision-avoidance navigation systems for Maritime Autonomous Surface Ships: A state of the art survey //Ocean Engineering. – 2021. – Т. 235. – С. 109-380.
7. Bay X. ta іn. Oglyad suchasnikh doslіdzhen і dosyagnen u galuzі bezpіlotnikh nadvodnikh transportnikh zasobіv // Zhurnal morskoї nauki і zastosuvannya. – 2022. – T. 21. – №. 2. – S. 47-58.
8. Vagale A. ta іn. Planuvannya shlyakhu ta uniknennya zіtknen dlya avtonomnikh nazemnikh transportnikh zasobіv I: oglyad // Zhurnal morskoї nauki і tekhnіki. – 2021. – S. 1-15.
9. Lyu K. ta іn. Doslіdzhennya lyudino-mashinnoї vzaєmodії dlya navіgatsії morskikh avtonomnikh nadvodnikh korablіv: Oglyad ta rozglyad // Іnzhenerіya okeanu. – 2022. – T. 246. – S. 110-555.
10. Wang L. et al. State-of-the-art research on motion control of maritime autonomous surface ships //Journal of Marine Science and Engineering. – 2019. – Т. 7. – №. 12. – С. 438.
11. Deling W. et al. Marine autonomous surface ship-a great challenge to maritime education and training //American Journal of Water Science and Engineering. – 2020. – Т. 6. – №. 1. – С. 10-16.
12. Kurt I., Aymelek M. Operational and economic advantages of autonomous ships and their perceived impacts on port operations //Maritime Economics & Logistics. – 2022. – Т. 24. – №. 2. – С. 302-326.
13. Zanella T. V. The Environmental Impacts of the” Maritime Autonomous Surface Ships”(MASS) //Veredas do Direito. – 2020. – Т. 17. – С. 367.
14. Chang C. H. et al. Risk assessment of the operations of maritime autonomous surface ships //Reliability Engineering & System Safety. – 2021. – Т. 207. – С. 107-324.
15. Akdağ M., Solnør P., Johansen T. A. Collaborative collision avoidance for maritime autonomous surface ships: A review //Ocean Engineering. – 2022. – Т. 250. – С. 110

M. Golodov, V. Sikirin, Determination and consideration of systematic errors in the measurement of navigation depths
DOI: 10.31653/2306-5761.35.2023.43-59 | PDF
Abstract

The scientific study considers the issue of studying the features and determining the inherent values of systematic errors that occur when measuring navigation depths with multibeam echosounders, the elimination of these errors from the measurement results, which requires a special organization and methodology for performing multibeam echosounders tests. Systematic errors of navigation data can affect as on the magnitude of the depth itself, as well as on its planned position, and their influence should be evaluated after studying the angular measurements by echo sounder beams and calibration. The calibration of multi-beam systems, as well as the horizontal and vertical movements of the vessel, is much more significant and complicated compared to the calibration of single-beam systems. It is necessary to perform system accuracy control tests to confirm the reliability of multibeam echosounder data. These tests should preferably be carried out on board before taking depth measurements. For this, it is necessary to capture data, process and edit them in real time. Periodic performance of accurate calibration and testing is necessary to confirm that the multibeam survey meets the accuracy requirements. Multibeam echosounders calibration tests are performed with the aim of minimizing errors, taking into account the delay time of data acquisition, sea waves and changes in the ship’s course.

Keywords: multibeam echosounder, systematic errors, sensor calibration, hydrographic surveys, relief of the seabed, marine navigation chart, measured tacks, survey software.

References

1. Posibnik z gidrografiyi Mizhnarodnoyi Gidrografichnoyi organizaciyi, t. 1, t. 2 /MGO/ Monako – 2006 r./ 246 s., 303 s.
2. Simonenko S.V., Golodov M.F. Gidrografiya morya. DU «Derzhgidrografiya»/ Kiyiv – 2015 r., praktichnij posibnik – 296 s.
3. Instrukciya po ekspluataciyi BPE Sea Bat 8101, vidavnictvo Reson, Daniya–2005 r. – 179 s.
4. Zvit pro provedennya kalibruvannya BPE ta perevirki vimiryuvan z vikoristannyam OE. DU «Derzhgidrografiya», Kiyiv – 2020 r., – 85 s.
5. Aleksishin V.G., Simonenko S.V. Obespechenie navigatsionnoy bezopasnosti plavaniya, ONMA – Odessa, «Translit», 2009 – 517 s.
6. Okeanograficheskiy Atlas Chernogo i Azovskogo morey. Yeremeev V.N., Simonenko S.V., Golodov N.F. – Kiev: GU «Gosgidrografiya», 2009. – 356 s.
7. Simonenko S.V., Gladkikh І.І. Elektronnye navigatsionnye karty / Simonenko S.V./ – uchebnoe posobie, Odessa, ONMA, 2007. 60 S.
8. Simonenko S.V., Gladkikh І.І. Kartograficheskie proektsii / Simonenko S.V./ – uchebnoe posobie, Odessa, ONMA, 2007. 40 S.
9. Sorokin A.I. Gidrograficheskie issledovaniya Mirovogo okeana / Sorokin A.I. – L.: Gidrometizdat, 1980. – 287 s.
10. Natsionalna morskaya politika i gidrograficheskie sluzhby – Monako, MGO, 2002. – 34 s.
11. Goncharov V.P. Relef dna i glubinnoe stroenie Chernomorskoy vpadiny. 1972 – M. vid. Nauka. – 165 s.
12. Ilin Yu.P. Gidrometeorologicheskie usloviya morey Ukrainy. Tom 1. Azovskoe more, Tom 2. Chernoe more. Sevastopol, 2012. – 420 s.
13. Robert Dzh.Urik. Osnovy gidroakustiki. – L, Sudostroenie, 1978 – 445 s.
14. Izaak I.E. Obshchie printsipy vypolneniya semki relefa dna mnogoluchevym ekholotom.- Kiev, Vestnik Gosgidrografii, 2006 – 15 s.
15. Pravila gidrograficheskoy sluzhby №4. Semka relefa dna, L. – 1981 – 325 s.
16. Pravila gidrograficheskoy sluzhby №5. Sostavlenie i izdanie morskikh kart. L. – 1989 – 338 s.
17. Kolomiychuk N.D. Gidrografiya. L. – 1988 – 362 s.Marine Environmental Assesment of the Black Sea / Working material / Regional Technical Co-operation Project RER / 2/003 – IAEA, Vienna, Austria, 2004 – 358 p.
18. Standart of Hydrographic Survey S-44 / Special Publications / IHO, Monaco – 2008 – 49 p.
19. Building and Projection/Rules of Hydrographic Survey. – Engineering US Army Department, 2004 – 125 c.
20. A.F. Blumberg, G.L. Mellor A description of a three-dimensional coastal ocean circulation model N. Heaps (Ed.), Three-dimensional Coastal Ocean Models, American Geophys. Union (1987), pp. 1-16
21. Hydrographic Softwear Hypack, Training Notes – Presentations, Sample Projects – 2014. – HYPACK, inc. USA. P.85.
22. Shachac P., Chucwuma A., Parrish C. Satellite-derived Bathymetry, – Hydro International, IHO Monaco – 2013, p.16-19.
23. Mark Pronc, Exciting Applications for Lidar, – Hydro International, IHO Monaco – 2013, p.12-15.
24. O. Andrejev, K. Myrberg, A. Andrejev, M. Perttilä Hydrodynamic and chemical modelling of the Baltic Sea – a three-dimensional approach Meri – Report Series of the Finnish Institute of Marine Research, 42 (2000)
25. L. Tuomi, K. Myrberg, A. Lehmann The performance of the parameterisations of vertical turbulence in the 3D modelling of hydrodynamics in the Baltic Sea Cont. Shelf Res., 50–51 (2012), pp. 64-79
26. Armstrong, E.M., Wagner, G., Vazquez-Cuervo, J., Chin, T.M., 2012. Comparisons of regional satellite sea surface temperature gradients derived from MODIS and AVHRR sensors. Int. J. Remote Sensing 33 (21), 6639–6651.
27. Darkes, G., Spence, M., 2008. Cartography – An Introduction. The British Cartographic Society, London.
28. Wilmott, C.J., 1982. Some comments on the evaluation of model performance. Bull. Am. Meteorol. Soc. 63, 1309–1313.
29. Xing, J.X., Davies, A.M., 1998b. A three-dimensional model of internal tides on the Malin-Hebrides shelf and shelf edge. J. Geophys. Res. Oceans 103 (C12), 27821–27847. D. Aleynik et al. / Harmful Algae 53 (2016) 102–117 117
30. Chen, C., Beardsley, R.C., Cowles, G., 2011. An Unstructured Grid Finite-Volume Coastal Ocean Model: FVCOM User Manual. University of Massachusetts, Dart-mouth, USA p. 315.
31. Davies, A.M., Hall, P., 2002. Numerical problems associated with coupling hydrodynamic models in shelf edge regions: the surge event of February 1994. Appl. Math. Model. 26 (8), 807–831.
32. Holt, J.T., James, I.D., 2001. An s coordinate density evolving model of the northwest European continental shelf 1, Model description and density structure. J. Geophys. Res. 106 (C7), 14,015-014,034.
33. Taylor, K., 2001. Summarizing multiple aspects of model performance in a single diagram. J. Geophys. Res. 106 (D7), 7183–7192.
34. Vanhoutte-Brunier, A., Fernand, L., Me ́ nesguen, A., Lyons, S., Gohin, F., Cugier, P., 2008. Modelling the Karenia mikimotoi bloom that occurred in the western English Channel during summer 2003. Ecol. Model. 210 (4), 351–376.

O. Kryvyi, M. Miyusov, M. Kryvyi, New mathematical models of the thrust coefficient and the torque coefficient on the ship's propeller shaft
DOI: 10.31653/2306-5761.35.2023.60-75 | PDF
Abstract

Solving the problems of course stabilization of the ship, dynamic positioning, the ship divergence dynamics, the construction of effective simulators and autopilots are not possible without the use of adequate mathematical models of the dynamics of the ship. The presence of the latter is also a necessary condition for studying various ship maneuvers, in particular, such as circulation, Kempf zigzag, slowing down, acceleration, etc. Improving control methods, including trends towards full autonomy of ships, necessitates constant improvement of mathematical models of the ship’s propulsion complex. The general mathematical model of ship dynamics includes mathematical models of inertial and non-inertial forces acting on the ship. The latter include, in particular, hydrodynamic forces on the hull, forces caused by the operation of the ship’s rudders and propellers, aerodynamic forces acting on the ship’s hull, and forces caused by the ship’s sailing rig. Mathematical models for non-inertial forces have an empirical multilevel character, include mathematical models of various quantities and parameters, and are built on the basis of experimental data processing or methods of computational hydrodynamics. Therefore, the improvement and refinement of each such model leads to the improvement of the mathematical model as a whole and is an important scientific and actual practical task. An important task is also to bring the specified mathematical models to a form that is convenient for use. In this work, new adequate, easy-to-use, mathematical models of the thrust coefficient of the propeller and the torque coefficient on the propeller shaft were obtained using regression analysis methods, and their excellent consistency with known mathematical models was shown on specific examples. For the main types of commercial vessels, the numerical values of the coefficients of the models are given, and the values of the propeller advance ratio of the zero thrust and zero torque on the propeller shaft are determined. This made it possible to obtain the condition of normal accident-free operation of the propulsion complex of the ship, which must be satisfied by the speed of the ship and the frequency of rotation of the propeller shaft, at different values of the drift angle and angular speed.

Keywords: mathematical models, ship propellers, propeller thrust coefficients, propeller shaft torque coefficients.

References

1. M. Bassin, I. Ja. Miniovich, Theory and calculation of propellers. GSISP, L. 1963.
2. A. D. Gofman, Propulsion and steering complex and ship maneuvering. Handbook. L.: Sudostroyenie.1988.
3. O. F. Kryvyi, Methods of mathematical modeling in navigation. ONMA, Odessa, 2015. (in Ukrainian)
4. O. F, Kryvyi, M. V. Miyusov, “Mathematical model of movement of the vessel with auxiliary wind-propulsors”, Shipping & Navigation, v. 26, pp.110-119, 2016. (in Russian)
5. O. F. Kryvyi, M. V. Miyusov, “Mathematical models of hydrodynamic characteristics of the ship’s propulsion complex for any drift angles”, Shipping & Navigation, v. 28, pp. 88-102, 2018. (in Russian), DOI: 10.31653/2306-5761.27.2018.88-102
6. O. F. Kryvyi, M. V. Miyusov, “New mathematical models of longitudinal hydrodynamic forces on the ship’s hull”, Shipping & Navigation, v. 30, pp. 88-89, 2020 (in Ukrainian) DOI: 10.31653/2306-5761.30.2020.88-98
7. O. F. Kryvyi, M. V. Miyusov, M.O. Kryvyi, “Mathematical modeling of the operation of ship’s propellers with different maneuvering modes”, Shipping & Navigation, v. 32, pp. 71-87, 2021 (in Ukrainian) DOI: 10.31653/2306-5761.32.2021.71-87
8. O. F. Kryvyi, M. V. Miyusov, M.O. Kryvyi, “Mathematical models of ship’s rudders operation under various maneuvering modes”, Shipping & Navigation, v. 34, pp. 93-114, 2023 (in Ukrainian) DOI: 10.31653/2306-5761.34.2023.93-114
9. M. V. Miyusov, Modes of operation and automation of motor vessel propulsion unit with wind propulsors. Odessa, 1996. (in Russian).
10. R. Y. Pershytz, Dynamic control and handling of the ship. L: Sudostroenie, 1983. (in Russian)
11. V. K. Turbal, V. S. Shpakov, V. M. Shtumpf, Desing of merchant ships form and propulsors. L: Sudostroenie, 1983.
12. Aoki, I., Kijima, K., Furukawa, Y., Nakiri, Y., On the prediction method for maneuverability of a full scale ship, Journal of the Japan Soc of Nav. Archic. and Ocean Eng., 2006, 3, 157-165.
13. Altosole M., Campora U., Figari M., Laviola M., Martelli M., “A Diesel Engine Modelling Approach for Ship Propulsion Real-Time Simulators”, J. Mar. Sci. Eng., v. 7, 138. 2019. https://doi.org/10.3390/jmse7050138
14. Altosole M., Donnarumma S., Spagnolo V., and Vignolo S., “Performance Simulation of Marine Cycloidal Propellers: A Both Theoretical and Heuristic Approach.” Journal of Marine Science and Engineering, 2022, v. 10, no. 4: 505. https://doi.org/10.3390 /jmse10040505
15. Erhan Aksu, Ercan Köse, “Evaluation of Mathematical Models for Tankers’ Maneuvering Motions”, JEMS Maritime Sci, v.5 №1, pp. 95-109, 2017. DOI: 10.5505/jems.2017.52523
16. Blanke M., Lindegaard K.-P., Fossen T. I., Dynamic Model for Thrust Generation of Marine Propellers, IFAC Proceedings Volumes, Volume 33, Issue 21, 2000, Pages 353-358, https://doi. org/10.1016/S1474-6670(17)37100-8.
17. Bertram, V. Practical Ship Hydrodynamic, 2nd ed.; Elsevier Butterworth-Heinemann: Oxford, UK, 2012; p. 284.
18. Richard Biven, “Interactive Optimization Programs for Initial Propeller Design” University of New Orleans Theses and Dissertations. 1009. 2009. https://scholarworks.uno.edu/td/1009
19. Godjevac M, van Beek T, Grimmelius HT, Tinga T, Stapersma D. “Prediction of fretting motion in a controllable pitch propeller during service”. Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment. 2009;223(4):541-560. doi:10.1243/14750902JEME128
20. Carlton J. Marine propellers and propulsion. UK: Elsevier Science & Technology, 2007
21. Inoe S., Hirano M., Kijima K., “Hydrodynamic derivatives on ship maneuvering”, Int. Shipbuilding Progress, v. 28, № 321, pp. 67-80, 1981.
22. Furukawa Y., Ibaragi H., Nakiri Y. and Kijima K, “Shallow water effects on longitudinal components of hydrodynamic derivatives”, 4th MASHCON, Hamburg – Uliczka et al. (eds)- Bundesanstalt für Wasserbau, 2016. DOI: 10.1851/978-3-939230-38-0_33
23. Kang D., Nagarajan V., Hasegawa K., et al “Mathematical model of single-propeller twin-rudder ship”. J Mar Sci Technol, v. 13, pp. 207–222, 2008, https://doi.org/10.1007/s00773-008-0027-0
24. Kijima K., “Prediction method for ship maneuvering performance in deep and shallow waters. Presented at the Workshop on Modular Maneuvering Models”, The Society of Naval Architects and Marine Engineering, v.47, pp.121 130, 1991.
25. Kryvyi O. F., Miyusov M. V., “Mathematical model of hydrodynamic characteristics on the ship’s hull for any drift angles”, Advances in Marine Navigation and Safety of Sea Transportation. Taylor & Francis Group, London, UK., pp. 111-117, 2019.
26. Kryvyi O. F., Miyusov M. V., “The Creation of Polynomial Models of Hydrodynamic Forces on the Hull of the Ship with the help of Multi-factor Regression Analysis”, 8 International Maritime Science Conference. IMSC 2019. Budva, Montenegro, pp.545-555 http://www. imsc2019. ucg.ac.me/IMSC2019_ BofP. pdf
27. Kryvyi O. F., Miyusov M. V., “Construction and Analysis of Mathematical Models of Hydrodynamic Forces and Moment on the Ship’s Hull Using Multivariate Regression Analysis,” TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 15, No. 4, doi:10.12716/1001.15.04.18, pp. 853-864, 2021.
28. Kryvyi O., Мiyusov M., Kryvyi M. “Construction and Analysis of New Mathematical Models of the Operation of Ship Propellers in Different Maneuvering Modes.” Trans Nav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol.17, №1, pp. 95-102, 2023, DOI 10.12716/1001.17.01.09
29. Kryvyi O., Мiyusov M., Kryvyi M. “Analysis of Known and Construction of New Mathematical Models of Forces on a Ship’s Rudder in an Unbounded Flow.” Trans Nav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol.17, №4, pp. 831-839, 2023, DOI 10.12716/1001.17.04.09
30. G. Kuiper. The Wageningen Propeller Series. MARIN Publication 92-001, 1992.
31. Lee, H.Y., Shin, S.S., 1998. The prediction of ship’s manoeuvring performance in initial design stage, Practical Design of Ships and Mobile Units, 633–639.
32. Malecki, J. “Model of Propeller for the Precision Control of Marine Vehicle.” Solid State Phenomena. Trans Tech Publications, Ltd., November 2011. https://doi.org/10.4028/www. scientific.net/ssp.180.323.
33. Martelli M, Figari M, Altosole M, Vignolo S. “Controllable pitch propeller actuating mechanism, modelling and simulation. Proceedings of the Institution of Mechanical Engineers“, Part M: Journal of Engineering for the Maritime Environment. 2014, 228(1):29-43. doi:10.1177/1475090212468254
34. M.W.C. Osterveld and P. Van Ossanen. Further computer-analyzed data of the wageningen b-screw series. Technical report, Netherlands Ship Model Basin, Wageningen, the Netherlands, 1975.
35. Report of Research committee on standardization of mathematical model for ship maneuvering predictions (P-29), 2013, Japan Society of Naval Architects and Ocean Engineers (in Japanese). http://www.jasnaoe.or.jp/research/pcommittee_end
36. Shang H., Zhan C., Liu Z., “Numerical Simulation of Ship Maneuvers through Self-Propulsion”, Journal of Marine Science and Engineering, 9 (9): 1017, 2021. https:// doi.org/10.3390/jmse9091017
37. Shengke Ni., Zhengjiang Liu, and Yao Cai. “Ship Manoeuvrability-Based Simulation for Ship Navigation in Collision Situations” J. Mar. Sci. Eng. 2019, 7, 90; doi:10.3390/jmse7040090
38. S. Sutulo and C. Guedes Soares, “Mathematical Models for Simulation of Maneuvering Performance of Ships” Marine Technology and Engineering, (Taylor & Francis Group, London), p 661–698, 2011.
39. Tarbiat S., Ghassemi H, Fadavie M., “Numerical Prediction of Hydromechanical Behaviour of Controllable Pitch Propeller”, International Journal of Rotating Machinery, vol. 2014, Article ID 180725, 7 pages, 2014. https://doi.org/10.1155/2014/180725
40. Minh Tran, Jonathan Binns, Shuhong Chai, Alexander L Forrest and Hung Nguyen. A practical approach to the dynamic modelling of an underwater vehicle propeller in all four quadrants of operation” J Engineering for the Maritime Environment 2019, Vol. 233(1) 333–344 https://doi.org/10.1177/1475090217744906
41. Y. Yoshimura, Y. Masumoto, “Hydrodynamic Database and Manoeuvring Prediction Method with Medium High-Speed Merchant Ships and Fishing”, International Conference on Marine Simulation and Ship Maneuverability (MARSIM 2012) pp.494-504.
42. Yasukawa H., Yoshimura Y. “Introduction of MMG standard method for ship maneuvering predictions” J Mar Sci Technol, v. 20, 37–52pp, 2015. DOI 10.1007/s00773-014-0293-y
43. Yasuo Yoshimura, Masatoshi Kondo, “Tomofumi Nakano, et al. “Equivalent Simple Mathematical Model for the Manoeuvrability of Twin-propeller Ships under the same propeller-rps”. Journal of the Japan Society of Naval Architects and Ocean Engineers, v.24, №.0, p.157. 2016, https://doi.org/10.9749/jin.133.28
44. Wei Zhang, Zao-Jian Zou, “Time domain simulations of the wave-induced motions of ships in maneuvering condition”, J Mar Sci Technol, 2016, v. 21, pp. 154–166. DOI 10.1007/s00773-015-0340-3
45. Wei Zhang, Zao-Jian Zou, De-Heng Deng, “A study on prediction of ship maneuvering in regular waves” Ocean Engineering, v. 137, pp 367-381, 2017, http://dx.doi.org/10.1016 /j.oceaneng.2017.03.046

O. Monastyrska, M. Chesnokova, Root cause analysis (RCA) as an effective cognitive method in content and language integrated learning (CLIL)
DOI: 10.31653/2306-5761.35.2023.76-85 | PDF
Abstract

This article considers Content and Language Integrated Learning (CLIL) as a dual-focused educational approach in which Maritime English is used for the learning and teaching of both content and language. In maritime business English is applied as a lingua franca because this field requires an English-language-proficient workforce. Authors’ teaching experience with navigational students at the National University “Odessa Maritime Academy” shows that to achieve professional competence on operational and management levels using English as the main communicative tool, students have to be intellectually challenged in order to transform information and ideas, to solve problems based on their situational awareness. Effective content learning should be applied through creative thinking, problem-solving and cognitive challenge. A navigator must figure out the cause of the problem and the processes that will help him to survive and save the property and crew. The technique of Root Cause Analysis (RCA) is widely used in all spheres of life and science as an effective method of predicting, analyzing, and summarizing the facts and building a clear paradigm to solve professional tasks. RCA has proven to be a powerful loss-prevention tool and allows crewmembers to discover the true root cause of a casualty. The problem-solving approach focuses on the analytical and cognitive ability of navigators to find correct professionally-grounded solutions based on good seamanship on board the vessel.

Keywords: Maritime English, situational awareness, content, cognition, problem-solving task, case-history, creative thinking, root cause, accident investigation.

References
1. D. Coyle, P. H. Hood, and D. Marsh, Content and Language Integrated Learning. Cambridge, England: Cambridge University Press, 2010, p. 41.
2. O. Monastyrskaya and M. Chesnokova, “Content and Language Integrated Learning (CLIL) as a teaching approach for developing managerial skills (for Masters in Navigation curriculum),” in Joint Conference: “The new wave of excellence in maritime education and training”, International Maritime English Conference, IMEC-30, Manilla, 2018.
3. B. Andersen and T. Fagerhaug, Root cause analysis: simplified tools and techniques. Milwaukee, WI: ASQ Quality Press, 2006, pp. 1-19.
4. “Root Cause Analysis (RCA),” Available: https://quality-one.com/rca.
5. M. Chesnokova, O. Monastyrskaya, and J. Monastyrskaya, “Interactive Root Cause Analysis (IRCA) as a Practical Tool for Developing Management Skills (for Masters in Navigation),” in 19th Annual General Assembly (AGA) of the International Association of Maritime Universities (IAMU), Barcelona, 2018, pp. 129-136.
6. “STCW (Standards of Training, Certification, & Watchkeeping for Seafarers) including 2010 Manila amendments.” International Maritime Organization; 3rd ed., 2011 edition (March 31, 2011).
7. C. Hetherington, “Safety in shipping: the human element,” Journal of Safety Research, vol. 37, 2006, pp. 401-411.
8. “Statistics of Marine Accident,” Available: https://www.mlit.go.jp/jtsb/statistics_mar.html.
9. “201628 Collision and explosion kills nine. Mariners Alerting and Reporting Scheme. 19-May-2016.” Available: https://www.nautinst.org/resources-page/201628-collision-and-explosion-kills-nine.html.
10. G. Wells, Dialogic Inquiry: Towards a Sociocultural Practice and Theory of Education. Cambridge, England: Cambridge University Press, 1999, p. 81.
G. Muravyov, Peculiarities of planning the ways coordinates of trajectory points of an autonomous vessel considering navigational risks
DOI: 10.31653/2306-5761.35.2023.86-103 | PDF
Abstract

Marine autonomous surface vessels came both numerous advantages and critical dangers that must be addressed early. The accident rate of autonomous vessels during the voyage cycle has an elevated level of navigational risk and the impact of cyberattacks due to the large number of receivers and transmitters of the maneuvering parameter control system and motion control coordinates along the planned trajectory. To organize accident-free navigation, it is necessary to perform high-precision planning of path coordinates using the method of trajectory points (TP), which takes into account the geometry of the path and the characteristics of the vessel. After this, it is necessary to identify hazardous areas by engineering means, determine the type of navigational risks, and plan ways to manage their level, to prepare shore operators and automatic ship control systems for maneuvering under the conditions of risks that may occur during its use. The solution to this problem should begin with the compilation of a generalized table of navigational risks and their percentage probability, and methods that will help avoid risks. One of the modern methods of determining risks is the engineering method of managing navigational risks, which determines the frequency of occurrence of various kind of risks and allows to provide preventive methods for the safe use of autonomous vessels by managing of their level. The methods of determining main navigational risks were proposed in this research, as well as systems of planning them in order to ensure the proper control. The obtained results can be used to ensure the navigational safety of autonomous vessels and also to improve methods of navigational risks planning and management by their level in the context of autonomous vessels application.

Keywords: navigation risks, engineering method, safety planning of the trajectory points, managing by the safety level of autonomous ships.

References

1. Shumilova, K. V. 2022. Systematyzovanyi pidkhid do klasyfikatsii navihatsiinykh ryzykiv reisovoho tsyklu morskoho sudna. Scientific Collection «Interconf» № 121, p.337-358.
2. Maltsev, A. S. Pobudova kryvoliniinykh traiektorii manevruvannia metodom vidrizkiv. In The 9 th International scientific and practical conference “Science, innovations and education: problems and prospects” (April 6-8, 2022) CPN Publishing Group, Tokyo, Japan. 2022. 580 p. (p. 152).
3. Shumilova, K. V., Maltsev, A. S., “The management of individual navigational risks of the ship voyage cycle,” Shipping & Navigation vol. 33, 2022. DOI: 10.31653/2306-5761.33.2022.128-142.
4. Xinyu Z., Chengbo W., Yuanchang L., Xiang C., Decision-Making for the Autonomous Navigation of Maritime Autonomous Surface Ships Based on Scene Division and Deep Reinforcement Learning. Sensors 2019, 19(18), 4055, doi: 10.3390/s19184055
5. Zhang, Y., Shao, S., & Zheng, S. 2018. Navigation risk assessment and control for unmanned surface vehicle. Journal of Navigation, 71(3), 568-585.
6. Xue Li, Poong Oh, Yusheng Zhou, Kum Fai Yuen. 2022. Operational risk identification of maritime surface autonomous ship: A network analysis approach Transport Policy Volume 130, January 2023, P. 1-14
7. J. de Vos, R.G. Hekkenberg, O.A.V. Banda. The Impact of Autonomous Ships on Safety at Sea – A Statistical Analysis. Reliability Engineering & System Safety Volume 210, 2021.
8. Chang, C-H, Kontovas, CA, Yu, Q and Yang, Z Risk assessment of the operations of maritime autonomous surface ships. Reliability Engineering and System Safety, 207. ISSN 0951-8320,2020
9. Valdez Banda, O.A., Goerlandt, F.,. A STAMP-Based Approach For Designing Maritime Safety Management Systems. Saf. Sci. 109:109-129, 2018
10. IMO. “Generic Guidelines For Developing IMO Goal-Based Standards. MSC.1/Circ.1394.” London, 2011.
11. IMO. “Revised Guidelines for Formal Safety Assessment (FSA) for Use in the IMO Rule-Making Process. MSC-MEPC.2/Circ.12.” London, 2013.
12. Tang, W., Chen, H., Yu, F., & Liu, H. Research on a security risk assessment model for unmanned surface vessels. Journal of Navigation, 72(5), 935-949, 2019.
13. Miller, A., Rybczak, M., Rak, A. Towards the Autonomy: Control Systems for the Ship in Confined and Open Waters Sensors 2021, 21(7), 2286, 2021.
14. MUNIN. Research in maritime autonomous systems project results and technology potentials. 2016.
15. Kongsberg. Autonomous ship project, key facts about YARA Birkeland. [Online]. URL: https://www.km.kongsberg.com/ks/web/nokbg0240.nsf/AllWeb/4B8113B707A50A4FC125811D00407045?OpenDocument (accessed December 7, 2018).
16. Jalonen R., Tuominen R., Wahlstrom M. Safe shipping with autonomous and remote controlled ships. 2017.
17. EMSA (European Maritime Safety Agency). Annual Overview of Marine Casualties and Incidents; EMSA: Lisbon, Portugal, 2018.
18. Perera, L.P.; Ferrari, V.; Santos, F.P.; Hinostroza, M.A.; Soares, C.G. Experimental evaluations on ship autonomous navigation and collision avoidance by intelligent guidance. IEEE J. Ocean. Eng. 2014, 40, 374–387.
19. Chae, C.J.; Kim, M.; Kim, H.J. A Study on Identification of Development Status of MASS Technologies and Directions of Improvement. Appl. Sci. 2020, 10, 4564.
20. Ramos, M.A.; Utne, I.B.; Mosleh, A. Collision avoidance on maritime autonomous surface ships: Operators’ tasks and human failure events. Saf. Sci. 2019, 116, 33–44.

V. Nazarenko, V. Savchuk, Mathematical model for predicting the values of the main characteristics of a tanker’s seagoing condition after loading
DOI: 10.31653/2306-5761.35.2023.104-115 | PDF
Abstract

Transportation of oil cargoes by the world tanker fleet takes place in various climatic zones with significant fluctuations in ambient temperature. When the temperature of the oil cargo increases, its volume will increase, which may lead to increasing the risks of the cargo spilling onto the ship’s deck. International conventions and codes that regulate the transportation of crude oil and petroleum products allow the use of only 98% of the cargo capacity of the tanker, the remaining 2% is called the safety factor, i.e. the margin of volume for the unforeseen expansion of the cargo when sailing in different climatic zones. From the other hand, the intensity of cargo operations during the transportation of various types of cargo, including oil cargo, has led to an increase in the role of the “human factor” in ship’s energetic system. Reducing the number of ship crews leads to the accumulation of fatigue, distraction of the attention of ship operators (masters) in the process of increasing the intensity of carrying out cargo operations on the ship. A significant share of tanker fleet accidents occurs as a result of loss of control over the volume of bulk cargo that is accepted in each tank of the vessel. The operator’s lack of accurate information about the state of each tank’s filling at the current moment of time leads to the risk of overflowing of a separate tank, which, in turn, can cause the spillage of bulk cargo, for example, petroleum products on the ship’s deck and on the water surface of the port’s water area. The relevance of these problems determines the direction of this research. For constant dynamic monitoring of the tanker parameters’ conformity during loading operations, considering parameters that maximally satisfy the requirements of maritime safety and taking into account all restrictions, such as the maximum permissible volumes of oil cargo in tanks, the current study proposes to use a mathematical model and create a system for automatic control of tanker loading.

Keywords: oil cargo, tanker, level gauges, safety factor, loading control, mathematical model.

References
1. International Safety Guide for Oil Tankers and Terminals (ISGOTT). [Online]. Available: http://www.marinedocs.co.uk/wp-content/uploads/2017/09/isgott-5TH-EDITION.pdf
2. International Convention for the Safety of Live at Sea (SOLAS 784/78). [Online]. Available: http://www.marinedocs.co.uk/wp-content/uploads/2016/10/SOLASS%20Consolidated%Edit ion%202014.pdf
3. International Maritime Dangerous Goods Code (SMDG Code). [Online]. Available: http: /asp.mot.gov.il/media/com_form2 content/documenrs/c3/a830/t27MSC%20406(96).pdf
4. V. D. Savchuk, V. M. Nazarenko, “Transportation of four types of petroleum products one tanker «JO PROVEL»,” in Abstracts of the 5th International scientific and practical conference “Modern science: innovation and prospects” (February 6-8, 2022), SSPG Publlish, Stockholm, Sweden. 2022. Рp 166-171. [Online]. Available: http: // sci-conf.com.ua
5. V. D. Savchuk, D. I. Krat “Transportation of chemical cargo by chemical tanker,” in Abstracts of the 9th International scientific and practical conference “European scientific discussions” (July 18-20, 2021), Poteredellaragione Editore, Rome, Italy. 2021. Рp 112-118. [Online]. Available: http: // sci-conf.com.ua
6. Description of types of sensors, liquid level meters. [Online]. Available: https://schemy.ru/info/lazernyj-datchik-urovnja-zhidkosti/ [Access date: 05/10/2022].
7. Description of types of sensors, liquid level meters. [Online]. Available: https://www.testrite.com.ua/aliconic_probes.html?gclid=Cj0KCQjwyYKUBhDJARIsAMj9lkEKp3cZLAWJf41zC_UGwFDy9l1pum4ZcpXluZIU4GYR6GliirlYyuIaAlBHEALw_wcB [Access date: 10.05.2022].
8. Device for a laser liquid meter. [Online]. Available: https://findpatent.ru/patent/ 212/2125246.html [Access date: 11.05.2022].
9. Laser meters for bulk cargoes. [Online]. Available: http://www.skpcorp.ru/izmerenie-i-signalizatsiya-urovnya-zhidkikh-i-sypuchikh-sred/lazernye-urovnemery [Access date: 10.05.2022].
10. Radar and radar waveguide level gauges. [Online]. Available: https://www.youtube.com/ watch?v=gmvtfeTVguI [Access date: 05/10/2022].
11. V. M. Nazarenko, V. D. Savchuck, “Avtomatyzatsiia kontroliu vantazhnykh operatsii tankera,” v Materialah naukovo-tekhnichnoi konferentsii «Sudnovodinnia. morski perevezennia ta tekhnolohii» (NAVIGATION, SIPPING AND TECHNOLOGY – NST-2022), 17-18 lystopada 2022 r. Odesa, NU «OMA», 2022, S. 154-158.
12. V. M. Nazarenko, V. D. Savchuk, “System of automated control of tanker cargo operation,” Shipping & Navigation, vol. 33, pp. 85-93, 2022, DOI: 10.31653/2306-5761.33.2022.87-95.
13. V. M. Nazarenko, V. D. Savchuck, “Technological flowchart of the tanker loading process with oil cargo,” in Abstracts of the 11th International scientific and practical conference “Progressive research in the modern world”, (July 20-22, 2023) BoScience Publesher, Boston, USA. 2023. Pp. 45-53 [Online]. Available: http: // sci-conf.com.ua
14. Pat. № 152855. Ukrainа. MPK (2023.01), V63V 25/00, B65G 67/60, (2006.01). Systema informatsiinoho zabezpechennia kontroliu zavantazhennia tankera nalyvnymy vantazhamy / Nazarenko V. M., Savchuck V. D..- Publikatsiia vidomostei 19.04.2023, Biul. № 16.
O. Pashenko, The GMDSS operators` training level analysis: a distress signal relay
DOI: 10.31653/2306-5761.35.2023.116-127 | PDF
Abstract

One of the main tasks of Global Maritime Distress and Safety System (GMDSS) is a distress radio communication. The GMDSS uses technologies, including satellite and digital selective call (DSC) methods in the medium frequency (MF), high frequency (HF) and very high frequency (VHF) bands, in order to arrange the transmission and reception of distress signals within a short period of time. A distress alert has absolute priority over all other transmissions. A distress relay alert is an integral part of distress procedures. Usually students do not clearly understand the circumstances under which it can be performed. The purpose of the work is to explain the procedure for a distress relay alert. The article describes a study of awareness among active seafarers and students of maritime educational institutions on the issues of distress and distress relay. It was found that almost half of the respondents do not have sufficient knowledge on distress relay. This can be explained by the lack of practical experience and theoretical basis. The creation of clear coordination of actions and an algorithm for relaying a signal in case of distress requires training on modern equipment with a clear interface under the guidance of an experienced instructor. It should be noted that a third of respondents witnessed a distress in real life, while fewer had experienced a distress relay. Therefore, there is a need to consider these issues during training. Increasing of workload and lack of time dictate higher requirements for the knowledge of navigators. Therefore, the article focuses on the theoretical base of distress relay and practical skills of its transmission using the new generation of Sailor equipment. A clear algorithm of actions for seafarers when using the equipment has been developed and presented using practical examples. Particular attention is paid to the interface of VHF and MF/HF radiostations.

Keywords: DROBOSE, distress relay, GMDSS, MF/HF, VHF, DSC.

References

1. The Radio Regulations, ITU. Edition of 2020.
2. Recommendation ITU-R M.541-10 – Operational procedures for the use of digital selective calling equipment in the maritime mobile service. Edition of 2015.
3. Recommendation ITU-R M.493-15 – Digital selective-calling system for use in the maritime mobile service. Edition of 2019.
4. Lees, Graham D. Handbook for marine radio communication, sixth edition, p. 374, 2015.
5. Australian Global Maritime Distress and Safety System (GMDSS) Handbook, 10th edition, 2013.
6. International Telecommunication Union, 2015, Model Course 1.25, General Operator’s Certificate for the Global MaritimeDistress and Safety System, 2015 Course and Compendium.
7. L. Tetley, D. Calcutt. Understanding GMDSS The Global Maritime Distress and Safety System. Great Britain, 1994.
8. Koshevij V.M., Kuprovs’kij V.І., Shishkіn O.V. Global’nij mors’kij zv’yazok dlya poshuku ta ryatuvannya (GMDSS): pіdruchnik dlya studentіv vishchih navchal’nih zakladіv. – Odesa: Ekologіya, 2011. – 248 s.
9. Pashenko O. L. Radіostancіya Sailor VHF DSC 6222. Ekspluatacіjnі proceduri radіozv’yazku: navchal’nij posіbnik / O.L. Pashenko, V.І. Kuprovs’kij, O.V. Shishkіn. – Odesa: NU «OMA», 2021. – 51 s.
10. Shyshkin, O.V., Pashenko, O.L. Novi vymohy do aparatury radiozviazku z vykorystanniam tsyfrovoho vybirkovoho vyklyku. Sudnovodinnia: Zb. nauk. prats./ NU «OMA», 2021.
11. COMSAR-Circ.25 – Procedure for Responding to DSC Distress Alerts by Ships, 2001.
12. Lubcke, T., 2016. Inter-organizational simulation as a training opportunity for maritime search and rescue (SAR) missions, 7th International Conference on Applied Human Factors and Ergonomics (AHFE), doi: 10.13140/RG.2.1.4700.9520
13. Valčić, S., Škrobonja, A., Maglić, L., & Sviličić, B. (2021). GMDSS Equipment Usage: Seafarers’ Experience. Journal of Marine Science and Engineering, 9(5), 476, doi: 10.3390/jmse9050476
14. ETSI EN 300 338-2: Technical characteristics and methods of measurement for equipment for generation, transmission and reception of Digital Selective Calling (DSC) in the maritime MF, MF/HF and/or VHF mobile service; Part 2: Class A DSC, 2020.
15. Shyshkin O. V. Radiozviazok u PKh/KKh diapazonakh. Radiostantsiia SAILOR MF/HF 6300: navchalnyi posibnyk / O.V. Shyshkin, O.L. Pashenko. – Odesa: NU «OMA», 2023. – 130 s.

O. Pipchenko, N. Konon, Improvement of marine professional training methods through the involvement of modern technologies
DOI: 10.31653/2306-5761.35.2023.128-142 | PDF
Abstract
Present work is dedicated to examining the latest advancements in modeling and simulation, specifically their implementation in Maritime Education and Training (MET). The investigation emphasizes the application of progressive technologies like Extended Reality (XR) and computer simulations, as well as the integration of authentic data and scenarios into educational curricula. Moreover, this document critically evaluates the challenges and difficulties linked with the deployment of these technologies in MET, while also contemplating potential effects for the maritime sector. The paper delivers a thorough review of both the existing level of integration of simulation technologies in educational domains and the caliber of training for a variety of maritime operations. The document elucidates how these technologies can enhance the safety and efficiency of vessels in the maritime industry. In this regard, it also presents and discusses user feedback on the incorporation of Virtual Reality into teaching methodologies, based on the provided VR simulators. In conclusion, the paper suggests a concept for a multi-station vessel control simulator that could be further developed and refined.

Keywords: MET, XR, VR, extended reality, simulation, safety at sea, professional maritime training.

References

1. UNCTAD (2021). Review of Maritime Transport 2021 (United Nations publication. Sales No. E.21.II.D.21. New York and Geneva.
2. Renganayagalu S., Mallam S. and Nazir S., “Effectiveness of VR Head Mounted Displays in Professional Training: A Systematic Review,” Technol. Knowl. Learn. 2021, pp (1–43).
3. Rahmalan H. et al., “Development of Virtual Reality Training for Fire Safety Education,” International Journal of Advanced Trends in Computer Science and Engineering, 2020, 9(4), pp. 5906 – 5912.
4. Cassola F., Pinto M., Mendes D., Morgado L., Coelho A. and Paredes H., “Immersive Authoring of Virtual Reality Training,” in Conference Proceedings: 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, March 2021. DOI: 10.1109/VRW52623.2021.00199
5. Afridi A., Malik A.N., Tariq H. and Rathore F.A., “The emerging role of virtual reality training in rehabilitation,” Journal of the Pakistan Medical Association 2022, 72(1). DOI: 10.47391/JPMA.22-006
6. Gawecki W., Wegrzyniak M., Mickiewicz P., Gawłowska M.B., Talar M. and Wierzbicka M., “The Impact of Virtual Reality Training on the Quality of Real Antromastoidectomy Performance,” J. Clin. Med, 2020, 9, 3197. DOI: 10.3390/jcm9103197
7. Schreuder, HWR. Hospital Healthcare Europe 2014. Edition: 2014. Chapter: Theatre & Surgery. Publisher: Cogora Limited.
8. Markopoulos E., Lauronen J., Luimula M., Lehto P., Laukkanen S., “Maritime Safety Education with VR Technology (MarSEVR),” In Proceedings of the 2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), Naples, Italy, 23–25 October 2019.
9. Bi Y., Zhao Z., “Application of VR Virtual Reality in Navigation Teaching,” In J. Phys.: Conf. Ser. 2020. DOI:10.1088/1742-6596/1648/3/032156
10. Leder R., Laudan M., “Comparing a VR Ship Simulator Using an HMD With a Commercial Ship Handling Simulator in a CAVE Setup,” In 23rd International Conference on Harbour, Maritime & Multimodal Logistics Modeling & Simulation, September 2021. DOI: 10.46354/i3m.2021.hms.001
11. Aylward K., Dahlman J., Nordby K., Lundh M., “Using Operational Scenarios in a Virtual Reality Enhanced Design Process,” Educ. Sci, 2021, 11, 448. DOI: https://doi.org/10.3390/educsci11080448
12. Templin T., Popielarczyk D., Gryszko M., “Using Augmented and Virtual Reality (AR/VR) to Support Safe Navigation on Inland and Coastal Water Zones,” Remote Sens. 2022, 14, 1520. DOI: https://doi.org/10.3390/rs14061520
13. Markopoulos E., Markopoulos P., Laivuori N., Moridis C., Luimula M., “Finger tracking and hand recognition technologies in virtual reality maritime safety training applications,” In Conference: 11th IEEE International Conference on Cognitive Infocommunications, 2020. DOI: 10.1109/CogInfoCom50765.2020.9237915
14. Markopoulos E., Luimula M., “Immersive Safe Oceans Technology: Developing Virtual Onboard Training Episodes for Maritime Safety,” Future Internet, 2020, 12, 80.
15. Markopoulos E., Kirane I.S., Piper C., Vanharanta H., “Green ocean strategy: Democratizing business knowledge for sustainable growth,” Advances in Intelligent Systems and Computing, Springer Science and Business Media: Berlin, Germany, 2019, 1026, pp. 115–125.
16. Spencer R., Byrne J., Houghton P., “The Future of Ship Design: Collaboration in Virtual Reality,” Project: Design Collaboration for Megastructures, 2019, pp. 500-504.
17. Vakil S.S., “Application of Augmented Reality (AR) / Virtual Reality (VR) Technology for Remote Maintenance of Autonomous Ships,” In Proceedings IAMU AGA21, Alexandria, Egypt, 2021, pp. 239-248.
18. Won J.‐h., Kim Y.S., “A Study on Visually Induced VR Reduction Method for Virtual Reality Sickness,” Appl. Sci. 2021, 11, 6339. DOI: https://doi.org/10.3390/app11146339
19. Saredakis D., Szpak A., Birckhead B., Keage H., Rizzo A., Loetscher T., “Factors Associated with Virtual Reality Sickness in Head-Mounted Displays: A Systematic Review and Meta-Analysis,” Front. Hum. Neurosci. 2020, 14:96. DOI: 10.3389/fnhum.2020.00096
20. Chang E., Kimb T.H., Yoo B., “Virtual Reality Sickness: A Review of Causes and Measurements,” International journal of human-computer interaction 2020, 36(17), pp. 1658–1682. DOI: https://doi.org/10.1080/10447318.2020.1778351
21. EMSA, Annual overview of marine casualties and incidents. European Maritime Safety Agency, 2021.
22. International convention on standards of training, certification and watchkeeping for seafarers (STCW). IMO: London, 2016.
23. Pipchenko O.D., Kovtunenko D., “A suggestion of an application of blended learning in MET through a harmonized STCW model,” TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, 2020, 14(3), pp. 545-548. DOI:10.12716/1001.14.03.04.
24. Konon N., “Prospects for modern maritime education and training practices in terms of distance learning,” Shipping & Navigation, 2022, 33(1), pp. 54–66, DOI: 10.31653/2306-5761.33.2022.54-66.
25. Abercrombie J., “Seafarer Training in the Age of Autonomy,” In: Bauk, S., Ilčev, S.D. (eds) The 1st International Conference on Maritime Education and Development. Springer, Cham., 2021. DOI: 10.1007/978-3-030-64088-0_14
26. Vasiljević D., Vasiljević J., Ribarić B., “Artificial Neural Networks in Creating Intelligent Distance Learning Systems,” In: Bauk, S., Ilčev, S.D. (eds) The 1st International Conference on Maritime Education and Development. Springer, Cham., 2021. DOI: 10.1007/978-3-030-64088-0_18
27. Learnmarine [Online]. Available: https://learnmarine.com
28. Meta Quest – Testing and Performance Analysis [Online]. Available: https://developer.oculus.com/documentation/unity/unity-perf/
29. Pipchenko O. D., “Mathematical modelling of operation of the tug equipped with azimuthal thrusters,” Shipbuilding 2017, 2, pp. 13-19. DOI 10.15589/jnn20170202
30. Pipchenko O.D., Development of theory and practice for the risk management of complex navigational tasks. D.Sc. Thesis. Odessa, 2021, pp. 161-169. [Online]. Available: https://www.onma.edu.ua/wp-content/uploads/2016/09/Dyssertatsyya-Pypchenko-pechat.pdf
31. Pipchenko O.D., Tsymbal M., Shevchenko V., “Features of an ultra-large container ship mathematical model adjustment based on the results of sea trials,” TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation 2020, 14(1), pp. 163-170. DOI:10.12716/1001.14.01.20
32. Singla A., Guring S., Keller D., Ramachandra Rao R. R., Fremerey S., Raake A. “Assessment of the Simulator Sickness Questionnaire for Omnidirectional Videos,” In 2021 IEEE Virtual Reality and 3D User Interfaces (VR). https://doi.org/10.1109/vr50410.2021.00041
33. Pedram S., Palmisano S., Miellet S., Farrelly M., Perez P., “Influence of age and industry experience on learning experiences and outcomes in virtual reality mines rescue training,” Frontiers in Virtual Reality, 3, 2022. https://doi.org/10.3389/frvir.2022.941225
34. Huygelier H., Schraepen B., van Ee R., VandenAbeele V., Gillebert C. R., “Acceptance of immersive head-mounted virtual reality in older adults,” Scientific Reports, 9(1), 2019. https://doi.org/10.1038/s41598-019-41200-6

O. Raynov, Determination of the vessel’s position coordinates by the altitude difference observation
DOI: 10.31653/2306-5761.35.2023.143-150 | PDF
Abstract

Currently, in ocean navigation, one of the backup methods, and often the only one, is the astronomical method of determining the ship’s position. To jointly determine the latitude and longitude of a place from the end of the 19th century to the present day, only one navigation parameter is used – the altitude, although in nautical astronomy other navigation parameters can theoretically be used – altitude difference, sum of altitude, azimuth, azimuth difference, etc. In practice, there is no acceptable method for determining the latitude and longitude of a ship’s position from the measured altitude difference. The existing method of position lines for plotting isolines on a navigation map makes it possible to develop a method acceptable for navigation practice for determining the latitude and longitude of a vessel from the measured altitude difference. In this study, the author justifies the practical possibility of determining the coordinates of a vessel astronomically from the altitude difference, based on separate measurements of the altitude with a navigation sextant. The developed method for determining the coordinates of a ship’s location from the measured altitude difference allows us to significantly increase the accuracy of determining the latitude and longitude of the ship’s location by reducing the influence of random method errors caused by the geographical coordinates of the ship’s location and the position of the Luminary illumination pole on the Earth’s surface, as well as eliminating the influence of systematic altitude measurement errors. Another advantage of the method is that it is completely autonomous and makes it possible to use the sextant for measurements available on board.

Keywords: celestial navigation, position measurement, astronomical ship positioning, altitude difference.

References

1. Krasavtsev B.I. Morekhodnaya astronomiya: uchebnik dlya vuzov. M.: Transport, 1986. [in Russian].
2. Gavryuk M.I. Astronavigatsionnye opredeleniya mesta sudna / M.I. Gavryuk. – M.: Transport, 1973. – 176 s. [in Russian].
3. Bobyr V.A., Raynov A.O. Chuvstvitelnost sudovoy ergaticheskoy funktsii opredelenie mesta. Sudovozhdenie: Sb. nauchn. trudov / NU OMA, Vyp. 27. – Odessa: «IzdatInform», 2017. – S. 15-25. [in Russian].
4. Kondrashikhin V.T. Teoriya oshibok i ee primenenie k zadacham sudovozhdeniya. M.: Transport, 1969. [in Russian].
5. Vulfovich B., & Fogile V. New ideas for celestial navigation in the third millennium. The Journal of Navigation, 2010, 63(2): 373-378, doi: 10.1017/S0373463309990348
6. Hsu T.-P.; Weng G.-Y.; Chen C.-L. A modified Sumner method for obtaining the astronomical vessel position. J. Mar. Sci. Technol. 2017, 25, 319-328.
7. Chih-Li C., Tien-Pen H., and Jiang-Ren C. A novel approach to determine the astronomical vessel position. Journal of Marine Science and Technology, 2003, 11(4): 221-235.
8. Ming-Cheng T. Genetic algorithm for solving celestial navigation fix problems. Polish Maritime Research, 2012, 19(3): 53-59, doi: 10.2478/v10012-012-0031-5
9. Pierros F. Stand-alone celestial navigation positioning method. The Journal of Navigation, 2018, 71(6): 1344-1362, doi: 10.1017/S0373463318000401
10. Nguyen Thai, D. (2022). Determining the ship’s position by the celestial altitude difference based on the least square method. Journal of Marine Science and Technology, 65(65), 05–09.
11. Zhang J., Yang J., Wang S., Liu X., Wang Y., and Yu X. A self-contained interactive iteration positioning and orientation coupled navigation method based on skylight polarization. Control Engineering Practice, 2021, 111: 104810, doi: 10.1016/j.conengprac.2021.104810
12. Van-Suong N., Nam-Kyun I. M., and Quang-Dan D. Azimuth method for ship position in celestial navigation. International Journal of e-Navigation and Maritime Economy, 2017, 7: 55-62, doi: 10.1016/j.enavi.2017.06.006
13. Lusic Z. Astronomical position without observed altitude of the celestial body. The Journal of Navigation, 2018, 71(2): 454-466, doi: 10.1017/S037346331700073X
14. Nguyen V. S. A novel approach to determine the ship position with an azimuth of celestial body and factors of ship route. International Journal of Civil Engineering and Technology, 2019, 10(2): 1162-1167.
15. Yushchenko A.P., Leskov M.M. Navigatsiya. M.: Transport, 1965. [in Russian].
16. Belobrov A.P. Fazovye radionavigatsionnye sistemy v gidrografii i okeanologii. L.: Gidrometeoizdat, 1961. [in Russian].
17. Popeko G.P., Salomatin Ye.P. Navigatsiya. Kurs korablevozhdeniya. L.: UGS VMF, 1961. [in Russian].
18. Baranov Yu.K. Ispolzovanie radiotekhnicheskikh sredstv v sudovozhdenii. M.: Morskoy trans-port, 1963. [in Russian].
19. Bronshteyn I.N., Semendyaev K.A. Spravochnik po matematike dlya inzhenerov i uchashchikhsya VTU-zov. M.: Nauka, 1980. [in Russian].
20. Bobyr V.A. Sudovye ergaticheskie funktsii: monografiya. K.: Kafedra, 2014. [in Russian].

Yu. Khussein, Method of automated classification of emergency situations with a vessel in the seaport waters
DOI: 10.31653/2306-5761.35.2023.151-162 | PDF
Abstract

The aim of the study is to develop a method that allows to improve the accuracy of classification of emergencies with a ship in the seaport area. To achieve the research objective, an improved method for automated classification of ship emergencies in the seaport area under conditions of deterministic uncertainty is proposed. The method consists of methods for formalising and processing knowledge on determining the classes of ship emergencies. The method of knowledge formalisation is based on the formation of a set of factors influencing the classification of ship emergencies in the seaport water area based on fuzzy binary relations of non-strict preference. The method of knowledge processing is based on the formation of productive rules for classifying emergencies with a ship in the seaport area according to the predicted or current values of the desired factors in a fuzzy formulation. The determination of the membership functions of several fuzzy variables to linguistic variables is based on the processing of expert data represented by a matrix of binary relations of the values of the membership function of the elements of the domain of determining linguistic variables. A comparative assessment of the classes of recognisable emergencies with a vessel in the seaport water area involves solving a multi-criteria optimisation problem using the hierarchy analysis method. As a mathematical model for determining the classes of emergency situations with a vessel in the seaport waters, the article substantiates a logical-linguistic productive hierarchical model. The process of determining the classes of emergency is described with the help of an algebraic model, which is closest to the linguistic description. In case of inexpediency of synthesis of products, it is proposed to use the method of fuzzy identification to reduce the number of product rules. The proposed method allows to improve the accuracy of classification of emergencies with a ship in the seaport area under conditions of deterministic uncertainty.

Keywords: classification, maritime port, hierarchy analysis, fuzzy identification, logical-linguistic production hierarchical model, vessel, class of emergency situations, fuzzy variable, linguistic variable.

References

1. Zou, Y.; Zhang, Y.; Ma, Z. Emergency Situation Safety Evaluation of Marine Ship Collision Accident Based on Extension Cloud Model. J. Mar. Sci. Eng. 2021, 9, 1370. https://doi.org/10.3390/jmse9121370.
2. Uğurlu Ö. et al. Analyzing collision, grounding, and sinking accidents occurring in the Black Sea utilizing HFACS and Bayesian networks //Risk analysis. – 2020. – Т. 40. – №. 12. – С. 2610-2638.
3. Gledić I., Mikulić A., Parunov J. Improvement of the Ship Emergency Response Procedure in Case of Collision Accident Considering Crack Propagation during Salvage Period //Journal of Marine Science and Engineering. – 2021. – Т. 9. – №. 7. – С. 737.
4. O. D. Pipchenko. Development of theory and practice for the risk management of complex navigational tasks. – Qualification scientific work as a manuscript. Thesis for the Doctor of Technical Sciences degree on the specialty 05.22.13 – navigation and traffic control (271 – river and maritime transport). – National university “Odessa maritime academy”, Odessa, 2021.
5. Kaptan, M.; Uğurlu, Ö.; Wang, J. The Effect of Nonconformities Encountered in the Use of Technology on the Occurrence of Collision, Contact and Grounding Accidents. Reliab. Eng. Syst. Saf. 2021, 215, 107886.
6. Yildirim, U.; Ugurlu, O.; Basar, E.; Yuksekyildiz, E. Human Factor Analysis of Container Vessel’s Grounding Accidents. Int. J. Marit. Eng. 2017, 159, 89–98.
7. Parunov, J.; Prebeg, P.; Rudan, S. Post-Accidental Structural Reliability of Double-Hull Oil Tanker with near Realistic Collision Damage Shapes. Ships Offshore Struct. 2020, 15, 1–18.
8. Luis, R.M.; Teixeira, A.P.; Guedes Soares, C. Longitudinal strength reliability of a tanker hull accidentally grounded. Struct. Saf. 2008, 31, 224–233.
9. Primorac, B.B.; Parunov, J.; Soares, C.G. Structural Reliability Analysis of Ship Hulls Accounting for Collision or Grounding Damage. J. Mar. Sci. Appl. 2020, 19, 717–733.
10. Zhou, Z.; Zhang, Y.; Wang, S. A Coordination System between Decision Making and Controlling for Autonomous Collision Avoidance of Large Intelligent Ships. J. Mar. Sci. Eng. 2021, 9, 1202.
11. Zhang, L.; Wang, H.; Meng, Q.; Xie, H. Ship Accident Consequences and Contributing Factors Analyses Using Ship Accident Investigation Reports. Proc. Inst. Mech. Eng. Part O J. Risk Reliab. 2019, 233, 35–47.