The maritime area for sailing between the Pacific and the Indian Ocean along the Wallace’s Line is classified as very attractive for yachting and sailing of small unconventional, including tourist sea yachts, but on the other hand is assessed as dangerous. Radio communication coverage in the area in question for Class A1 and A2 communication zones is severely limited there. The use of standard radio communication equipment VHF/MF class on small tourist vessels and yachts is therefore limited or even ineffective in many parts of the analyzed sea area. This is of significant importance in distress situations, requiring calls to the Maritime Rescue Coordination Centers in case of danger to life and property. This situation therefore poses a navigational safety risk for smaller pleasure yachts often sailing in the area. It should be noted that the possible sinking of such a vessel, flooding or entry of crew and passengers into the water in this area is additionally dangerous as the warm waters there are abundant with sharks and other dangerous predatory fish. In such situations, even a minor yacht failure can turn into a major maritime tragedy resulting in loss of life. This is why the ability to effectively and quickly establish radio communication with Marine Rescue Coordination Centers is so important there. This paper presents the idea of an innovative radio communication system to support the decision of the skipper of a small seagoing touristic yacht sailing in Indonesian waters of the Wallace’s Line, in a distress situation when it is necessary to urgently call for the assistance of an MRCC. The system concept is based on the use of ANN methods to assist the captain in making the optimum navigational decision. A ANN model and an example of numerical simulation of the new decision-support system’s operation are presented, with reference to the existing communication A1, A2 zones of the Wallace’s Line area, and a present position of a small touristic yacht. The result of the calculations is the determination of the value of the new corrected course of the yacht, the distance and the time needed to reach the nearest area to establish radio communication with the Maritime Rescue Coordination Centre using VHF/MF radio equipment.

The waters of the western Caribbean Sea are some of the most popular sailing waters in the world. A warm climate almost all year round and many exotic, tourist-attractive ports provide theoretically very good sailing conditions. Many small yachts only have radio communication equipment operating on VHF/MF frequencies. Unfortunately, their effective operating range is limited. This poses a problem if there is a threat to life or property on board such a yacht. In such dangerous situations, it is necessary to call for the assistance of MRCCs nearby. In the absence of range and higher grade radio communication equipment (e.g. HF) such a call may be ineffective. This paper describes the idea of a new radio communication system to support the decision of a small touristic yacht Master sailing in the western Caribbean Sea area, in a distress situation, when it is necessary to urgently call for rescue from the MRCC Marine Rescue Coordination Center. The system is based on the use of the ANN artificial neural network method. The paper describes the ANN computational model and also presents an example of how the new decision-support system works for a yacht Master in a specific situation simulating a distress situation while sailing in the western Caribbean Sea, with the radio communication areas A1, A2, Sea Canal, harbours and at preset position of a small tourist yacht. The result of the calculations was to determine the distance and time required to reach the nearest area to establish radio communication with the MRCC SAR using VHF/MF radio equipment to call for rescue, and to determine the value of the new optimum corrected course for the tourist yacht.

This paper presents the concept of a VHF radio communication system to assist the captain of a seagoing yacht or smaller vessel in an distress situation requiring a call for RCC assistance while sailing far from shore, where there is no chance of quickly reaching a region where direct communication with a shore station can be established. This is an important issue due to the fact that yachts and smaller vessels are often equipped with VHF radios with limited range (for 25-35 Mm). In an distress situation, especially when life and property on a yacht are at risk, calling for RCC assistance using ordinary VHF/MF radio equipment is limited. In such a case, the most important thing is to be able to contact Marine Rescue Centers as soon as possible. The article presents the concept of a model of an intelligent system to assist the captain to facilitate the rapid establishment of communication via the VHF radiostation and develop a proper navigation decision based on the ANN artificial neural network method to call for RCC assistance in a distress situation. The article presents an example of numerical simulation of the operation of the discussed Radio Communication Decision Support system, assuming a certain position of a sea yacht in distress, with reference to existing sea corridors in the Pacific Ocean area. The result of the simulation is related to the calculation of the distance and the value of the new corrected Yacht course to the nearest sea corridor, where it is possible with high probability to meet another larger vessel and by way of establishing VHF radio contact with it achieve the establishment of communication with the marine Rescue Center to distress call.

The Lesser Antilles Sea Area is a particularly dangerous area for small unconventional, including, tourist sea yachts because the range of available communications in the areas of communication zones A1 and A2, is severely limited there. This represents a significant constraint on the safety of navigation for these vessels because in a dangerous situation requiring a call for RCC assistance, the use of common VHF/MF radio equipment for this purpose is limited and often ineffective. The ability to contact Maritime Rescue Coordination Centers in case of danger to life and property on a yacht is an important issue. Recently, there has been an increased number of serious maritime accidents involving cruising sea yachts, during which there have been serious problems in establishing radio communication in dangerous situations. The article presents the concept of an intelligent radio communication system to support the decision of the captain of a small sea tourist yacht, sailing in the waters near Lesser Antilles, in a dangerous situation requiring a call for RCC assistance. The discussed new system, based on the method of artificial neural networks ANN, makes it possible to help the captain make the right navigation decision in an emergency situation. The content presents the calculation model and an example of numerical simulation of the operation of the described decision support system, with reference to the existing communication areas A1, A2 Lesser Antilles area and assuming a given position of a tourist small yacht in a dangerous situation, requiring a call for RCC assistance by means of VHF/MF radio equipment. The result of the simulation is the calculation of the distance to the nearest area to establish communication with the Maritime Rescue Coordination Center and the value of the new corrected course of the tourist yacht and the estimation of the time required to reach the aforementioned area.

The paper presents the concept of a Radio Communication System to support the decision of the captain of a small non-conventional vessel including a yacht sailing in the waters of the Caribbean Sea in a dangerous situation requiring a call for RCC assistance. This is important to enhance boating safety in the area, where, due to the reduced and non-overlapping accessible areas of the A1 and A2 communications zones, calling for RCC assistance using common VHF/MF radio equipment is limited. In the event of danger to life and property on a yacht, the ability to contact Marine Rescue Centers is a primary concern. This paper presents a model of an intelligent system for supporting the captain in making the right navigation decision, in a dangerous situation, based on the method of artificial neural networks ANN. The article presents an example of numerical simulation of operation of the discussed system of Radio Communication decision support, assuming a specific position of the small non-conventional vessel in distress, with reference to the existing communication areas A1, A2 in the Caribbean Sea. The result of the simulation is related to the calculation of the distance to the nearest zone, enabling the establishment of communication with the marine Rescue Center to distress call, the value of the new corrected course of the small non-conventional vessel and the time of arrival at the above-mentioned zone.

The article presents the current problem of inability to establish effective communications of the coast of Portugal (lack of A1 and A2 communication areas) and the concept of an intelligent decision support system for the Captain of a non-conventional ship (including a yacht) located in this area using the MF system in an emergency situation. The described problem is important to increase the degree of safety of navigation in the process of effective summoning of RCC assistance, in a situation of danger to life and property of the ship using radio devices of the MF frequency band. The article presents a model of an intelligent decision support system for the captain by implementing artificial neural networks ANN, taking advantage of the phenomena of weaker ionization in the upper layers of the ionosphere, at night, which translates into an increase in the operating range of radio communications on MF radio waves. The results of simulations of the increased range of A2 communication area at night time, enabling the establishment of MF radio communication with RCC marine rescue centers in an emergency situation by the captain of a non-conventional vessel in the area in question, are presented.

The paper presents a methodology for multi-track transmission processing of signals from mechanical-navigation sensors describing the state of the ship's motion vector by using a neural network computer system. The integration of mechanical systems with navigation systems on a sea vessel is aimed at creating a uniform decision-making module for the crew steering the ship and supervising propulsion systems in order to minimize the level of risk in controlling a sea vessel in hazardous situations. The concept of integrating radio devices with navigation and engineering systems will enable effective ship management based on sources coming from external and internal sensors of the ship. The processing of navigational and mechanical signals proposed in the article will allow to build an effective prediction of the developing situation in case of danger according to the proposed algorithm for the officer of the watch in charge of the ship. The paper presents a model of mathematical processing of signals from navigational-mechanical systems and illustrates its operation in an exemplary situation of a threat of collision of a sea vessel

The paper presents a new concept of a yacht Radio-communication system for Support Decision of the yacht captain in case of a collision situation. This has an impact on reducing the risk of loss of life of the yacht crew and the loss of property, including the yacht. The key problem in a collision situation is to be able to contact with SAR Maritime Rescue Centres. This paper proposes a model of an intelligent system based on the method of artificial neural networks ANN, which allows to support in making the right decision by the captain in case of life threatening danger on board of the yacht. The paper presents an example of The Decision Support System for a specific yacht location in relation to the existing RCC-SAR zones A1, A2, A-GSM and the propagation range of VHF, GSM and MF radio waves, with a worked out decision of the possible closest distance from the zone, allowing the use of these devices to call for help and carry out an effective rescue operation.

The paper presents a calculation methodology of energetic optimal exploitation conditions of axial -piston hydraulic motor A2FM type using Artificial Neural Networks algorithms The aim of the work is to use an artificial neural network system for fast calculations of total efficiency values of analyzed hydraulic motor in function of oil pressure drop ratio and motor speed ratio. On the basis of the developed model, a set of optimum oil pressure values is determined at the set engine operating speed value, at which maximum values of total motor efficiency and optimum exploitation conditions in terms of energy are achieved. Based on the application of Neural Network Fitting app of Matlab R2020b, sample calculations were presented for the A2FM 125 type hydraulic motor from Bosch Rexroth were shown.

The paper presents a methodology of flow rate assessment of submerged ballast pumps with hydraulic drive mounted on board modern product and chemical tankers. The control of flow rate of hydraulic ballast pumps are different from other popular solutions because based on the the use of constant torque controller STC type on the pump hydraulic drive motors referring to standard solutions with pump speed controllers. The method is based on the use of Artificial Neural Network system algorithms with Fitting app of Matlab R2020b computer program. The formulated calculation problem concerns the determination of the corrected flow rate of ballast pumps using only the base flow and drive characteristics of the analyzed pump SB300 and the adjustment value of hydraulic constant torque controller was presented. Shows the structure of the algorithm and the results of numerical experiments for ballast pump characteristics with different adjusted oil pressure drop values in the hydraulic pump motor. Advantages of using neural network algorithms are presented.

The paper looks at the concept of a New Integrated Maritime Data Communication System based on the synthesis of multisensory mechanical-navigation signals and information. Problems with processing of safety, quickly and correctly manoeuvring decisions by ship Deck Officers associated with continuous receipt of too much information provided to the ship navigation bridge are analysed. It pointed to the need to take into account in the decision-making process the management of the vessel, not only data of a navigational nature but also data of a mechanical nature. An analysis of today’s integrated navigation bridge systems on ships was carried out, indicating the weaknesses of the existing solutions. There are systems already integrating signals from multisensor sources. However, they are based on the use of navigation signals only. Based on the analysis, it was concluded that existing systems could lead to the generation of erroneous and incomplete navigational decisions resulting in maritime accidents. An algorithm of The Fusion Data Processing System with Integrated Multisensory Module was proposed to take into account in the decision-making process the missing signals generated from marine mechanical devices having a direct impact on the ship’s movement track. It is new to propose the use of ANN methods to develop rapid decisions. An example of algorithm with the results of numerical studies of signal fusion from various sensors generating input information to the vessel positioning navigation system is presented.

The paper presents a method of flow rate calculation of submerged cargo pumps with hydraulic drive in case of exploitation with reduced pump drive speed. The method is based on application of some different approximation and optimization algorithms. The formulated calculation problem concerns the determination of corrected flow rate of cargo pumps using the base flow and drive characteristics of pumps and efficiency of hydraulic drive motor and supply system were presented. The analyzed pumps are mounted on modern product and chemical tankers. Shows the construction of the algorithm and the results of numerical experiments for pumping of some liquid cargoes with different viscosity and density.