In order to improve the active ship motion attitude compensation control capability, a ship roll motion prediction model based on LSTM (Long Short-Term Memory) model is introduced helping to address the problems of existing ship roll motion prediction models which do not provide sufficient accuracy and effectiveness in complex environments. The model is trained with roll motion data collected from a research and training dual-use ship in operation on the sea. The root mean square error is used as the loss function, and the Adam optimizer is used for weight optimization. The new model is tested on ships navigating on the sea, and the results are compared with the prediction results given by the ARIMA (Autoregressive Integrated Moving Average) model to verify the model in complex ship navigation conditions. The research results indicate that the LSTM-based ship roll motion prediction model can better capture the nonlinear and /or non-stationary characteristics of ship roll data and provide more accurate prediction results.

In order to better cope with the complex and changing sea ice environment and limited emergency rescue capabilities faced by ships navigating in the Arctic shipping route, and to enhance their risk prevention and control capabilities in ice navigation, research on ship navigation risk identification and prevention in the Northeast Arctic shipping route is carried out. The relevant regulations and navigation facilities and equipment for ships in the Arctic shipping route are analyzed, environmental risk factors from the aspects of sea ice environment, hydro meteorological conditions, and geographical environment are identified, and risk control measures for ships navigating in the ice zone of the Arctic shipping route are proposed. The research suggests that the risk factors faced by ships navigating the Arctic Northeast Passage mainly include complex sea ice, poor visibility, low temperatures, strong winds and waves, variable ocean currents, and inaccurate nautical chart information. From the perspective of risk prevention, 21 self-examination items for ships before entering the ice zone are proposed. From the perspective of risk control during navigation in the ice zone, 10 risk prevention measures are proposed to enhance the safety guarantee capability of ships navigating in the ice zone of the Northeast Passage.

In order to reduce the compliance cost pressure caused by the EU (European Union) issued FuelEU Maritime regulations, this paper studies the impact of these regulations on shipping costs with emphasis on the expiration of the RWD (Reward) coefficient. An 8 500 TEU container ship using EU ports is taken as an example to show the compliance costs before and after the RWD coefficient expiration and the implementation of the RFNBO (Renewable Fuels of Non-Biological Origin) sub targets. The analysis shows that from year 2034, when the RWD coefficient expiring and the RFNBO sub targets coming into force, this container ship will fail to meet the requirements for the carbon balance and RFNBO sub targets, thus facing double fine. The analysis suggests that shipping industry should increase the use of RFNBO fuel to reduce the economic burden caused by increased compliance costs.

A type of bulk carrier is investigated and studied empirically and theoretically to find the causes of high water drag and low efficiency. Measures to reduce the drag force particularly for the interested type of bulk carriers are devised. The improvement scheme covers using high-efficiency anti fouling paint, optimizing bow shape, and using high-efficiency propellers. A ship is retrofitted according to suggested scheme and tested. The test results proved the effectiveness of the measures.

In response to the new demands of ship intelligence for information processing, integration, analysis, and interactive interface design, a comprehensive information display system for ship intelligent driving is developed. Through an in-depth analysis of the information needs in ship driver-machine interaction, and in accordance with the Intelligent Ship Specification (2024) and the IMO (International Maritime Organization) display performance requirements, an information classification method for ship intelligent driving is proposed. Different navigation information expression methods are designed, and a comprehensive navigation information display system is developed. The system was demonstrated and applied on intelligent driving ships. The operation shows that it has comprehensive, standardized, intuitive, and convenient characteristics in information fusion and expression, which helps to improve the safety and efficiency of ship navigation.

A hull safety monitoring system is designed for ensuring ice navigation safety of ships in polar area. The functional requirements for the system are analyzed and the system particularly for a 68 000 ton multi-purpose pulp ship is designed to illustrate the overall architecture design, equipment layout, and practical application of the system. The practical application of the system shows that the system can evaluate the overall strength of the ship in real time and reduce the risk of ship structural damage during navigation in ice areas by collecting data, such as, ship structural stress, ship motion status, and meteorological and sea conditions.

In order to deal with the methanol leakage in the fuel tank of a methanol dual fuel ship, computational fluid dynamics software is used to numerically simulate the ventilation performance of the fuel tank with methanol leakage. A 16 000 TEU methanol dual fuel container ship is taken, as an example, to demonstrate the process. The objective is to examine the leakage of methanol gas in the cabin and study the variation of the time required for indoor air to meet personnel safety standards with the number of pipe openings and exhaust speed. The research shows that reasonable openings in pipelines can significantly improve the ventilation of fuel tanks. It is recommended that the fan speed be increased by 50% while having above mentioned openings, which can keep the safety time under 300 seconds and reduce electricity consumption.

The fault tree investigation and positioning are carried out in the troubleshooting of the PT1000 sensor module. The remedy is proposed. The principle of PT1000 acquisition circuit is elaborated; the causes of connection faults seen from external terminals on the module are listed and a wiring improvement by introducing a junction box between sensor input pins and external cable terminals is proposed. The practical application results show that the improvement solved the problem of large step temperature measurement jumping.

In order to effectively handle the network security risks faced by ships in the process of digital transformation and Intellectualization of shipping, the path of ship network security construction in the text of new development pattern is studied. Current situation of ship network security at home and abroad is elaborate and main risks in ship network security is sort out. A path for ship network security construction to follow is designed to improve the level of ship network security protection. The stable operation of ocean-going ships is to be ensured through the arrangement.

In order to reduce the impact of vibration and structural noise generated by subway vehicle operation on environmentally sensitive buildings in the property projects above the subway depot, a study is conducted on the vibration effects at different areas of the depot. A property development project above a subway depot in a city in East China is selected for vibration impact testing, and to study the vibration characteristics at different areas such as test lines, entrance and exit lines, warehouse lines, and throat areas. The research results indicate that compared to the throat area and the testing line area, the total vibration level of the warehouse line is relatively small; In the throat area, the average Z-vibration level when a train goes over the frog is 29.4 dB higher than that when it is over other part of the rail; At a given test section, the maximum Z-vibration level gradually decreases in the order of the rail, track bed, and structural wall.