Studying the issue of calculations ambiguity at determining the amount of loaded cargo

A unified algorithm for calculating the amount of loaded cargo is provided in the paper. The algorithm checks the vessel readiness to carry out survey work, on the basis of which further operations or the elimination of inconsistencies that have arisen, are proposed. Attention is paid in detail to the measurements carried out during the draft survey, necessary for calculating the average draft of the vessel. The error value is given as a percentage of the deadweight of the vessel, depending on the measured source. The necessary conditions for the issuance of a permit by a surveyor to carry out loading and unloading operations on a ship after checking the conformity of the results obtained with the declared data are defined in the paper. The “Bow-and-stern Sediment diagram” is investigated as a method intended for approximate, but at the same time fast, non-commercial calculation. It is proved that the calculation of the vessel displacement based on this diagram leads to a significant error resulting from a fundamental misunderstanding of the draft survey process and its purpose. The most common mistakes at using ship’s documents, as well as the formulas use, are discussed in the paper. The ways of reducing inaccuracies in calculations are determined. It’s substantiated in the paper that the use of the “average draft” and “river” formulas cannot be carried out for all types of vessels due to their possible specific design features, in particular, additional grades of deepening and the presence of hull bending. The specifics of the ship’s register documents are given. The values of errors are also analyzed if there are only register documents on the ship. It’s proved in the paper that the proposed unified algorithm for calculating the amount of loaded cargo is quite accurate compared to other methods considered. 

1. Li, S. V., O. Zh. Rabat, N. D. Saidinbaeva, and A. N. Salmanova. “Innovatsionnaya tekhnologiya po razgruzke massovykh navalochnykh gruzov.” Novosti nauki Kazakhstana 2(144) (2020): 60–65.

2. Sitov, Alexandr N., Vladimir A. Malovechko, and Andrey E. Slitsan. “Sea transportation of direct reduced iron in bulk.” Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova 10.6 (2018): 1162–1178. DOI: 10.21821/2309-5180-2018-10-6-1162-1178.

3. Galin, Alexander Valentinovich, Alexander Aleksandrovich Dmitriev, and Erika Vladimirovna Vinogradova. “Economic development of society and cargo transportation systems.” Vestnik of Astrakhan state technical university 1(69) (2020): 7–12. DOI: 10.24143/1812-9498-2020-1-7-12.

4. Aref’ev, A. A. “Spetsifika transportirovki navalochnykh gruzov.” Sovremennye voprosy ekonomiki i upravleniya. Sbornik nauchnykh trudov I Mezhdunarodnoi nauchno-prakticheskoi konferentsii. Kinel’: Samarskaya gosudarstvennaya sel’skokhozyaistvennaya akademiya, 2018. 228–230.

5. Ivanovskii, A. N., A. S. Siushkina, and Yu. D. Shpatovich. “Raschet i programmnaya realizatsiya protsedury draft syurvei v ramkakh prakticheskogo kursa «Avtomatizatsiya sudovozhdeniya».” Sovremennye tendentsii prakticheskoi podgotovki v morskom obrazovanii. Materialy III natsional’noi nauchno-prakticheskoi konferentsii. Kerch’: FGBOU VO «Kerchenskii gosudarstvennyi morskoi tekhnologicheskii universitet», 2022. 291–297.

6. Timchenko, Tat’yana Nikolaevna, and Mikhail Vladmirovich Bukhtenko. “Relevant problems of determining the mass of bulk cargo by the draft survey method.” Scientific Review 19 (2017): 104–108.

7. Kuznetsov, A. L., A. V. Kirichenko, and A. E. Slitsan. “Simulation for assessment of bulk cargo berths number.” IOP Conference Series: Earth and Environmental Science. Vol. 87. No. 6. IOP Publishing, 2017. DOI: 10.1088/1755–1315/87/6/062010.

8. Ivanovskii, A. N., E. D. Kolomeitseva, and A. D. Kuznetsov. “Analysis of an automated draught survey system implementation efficiency on bulkers.” Bulletin of the Kerch State Marine Technological University 3 (2022): 242–253.

9. Tarasov, V. V. “Draft-syurvei kak optimal’nyi sposob opredeleniya kolichestva navalochnykh gruzov pri perevozke vodnym transportom.” Sbornik nauchnykh trudov po materialam mezhdunarodnoi nauchno-prakticheskoi konferentsii 1.1 (2010): 100–102.

10. Sokolov, S. S., and A. N. Ivanovskiy. “Automatization of draft marks reading on ships with machine learning.” Modern high technologies 7 (2021): 67–72. DOI: 10.17513/snt.38754.