| Ship artificial intelligence systems can help ship personnel better predict and plan ship operations,thus improving efficiency and stability.Intelligent ship operation and maintenance have broad development prospects.With the continuous progress of intelligent technology in the future,intelligent ship operation and maintenance will become an important development direction in the shipping field.This thesis takes the domestic6X40 DF Marine dual fuel engine on an LNG ship as the analysis object,studies the preventive maintenance strategy of the dual fuel engine based on S4000 P and equipment health assessment based on importance and deterioration degree,and then designs the intelligent operation,maintenance,and support information system of ship power.The main work is as follows:Firstly,according to the working structure decomposition WBS,the 6X40 DF dual-fuel engine is disassembled at the agreed levels,and the functional decomposition structure tree of the whole machine level,system level,component level,and part level is constructed.The typical failure tables of gas systems and lubricating oil systems are established.The analysis method of the S4000 P system has been sorted out and improved.Through the decomposition structure tree obtained by WBS decomposition,from top to bottom,the logical analysis of failure causes and consequences is made to find out the sufficient and necessary reasons for the direct occurrence of failure events layer by layer,and the fault tree of the gas system and the lubricating oil system is established.The improved FMEA table is established during the analysis of system failure modes.Then,fault risk sources in the gas system and lubricating oil system are located based on the fault propagation diagram,and the high-risk fault sources are located more efficiently and accurately,achieving the expected effect.Develop targeted preventive maintenance strategies to extend the service life and improve the reliability of dual-fuel engines.Secondly,the overall architecture of the ship’s intelligent operation and maintenance system is established.The system importance evaluation system was established to objectively describe the role of parts in the whole equipment system.Taking the gas system of the 6X40 DF Marine dual fuel engine as the analysis object,the importance ranking was carried out based on the improved COPRAS method,and the critical components of the gas system were obtained.The state monitoring of the heavy part regulator was carried out,and the energy of eight sub-bands was obtained by wavelet packet decomposition.Multi-dimensional scaling feature reduction is carried out on the characteristic vector of the representation state extracted from the feature of the wavelet packet signal to maintain the original information and relations carried by the data itself and reduce the difficulty of data volume processing.The absolute value of the distance between variables is used to calculate the degree of deterioration and judge the degree of part loss.The health degree is calculated with wavelet information entropy and deterioration degree;the health of parts is evaluated from multiple angles;and reasonable maintenance strategies are formulated to ensure the normal operation of equipment and reduce unnecessary losses.Finally,it analyzes several requirements for developing an operation and maintenance system.Users are classified,their roles are defined,and different rights are assigned according to different work scenarios and tasks for operation and maintenance technicians.Before the development,I designed the system architecture and built the basic framework,from front-end interface interaction to back-end data invocation and storage.Then the function design of system modules and submodules is carried out,and the functions of each module and its submodule are introduced.Then the system database software selection and the form structure of the database are combed.In the end,the design and development of the system are introduced,as are the sub-interface display and the function of the sub-interface. |