In addition, taking full account of

In addition, taking full account of the main engine speed, navigation environment, ship loading, navigation time constraints, port operation efficiency and other factors on the ship energy efficiency, based on the obtained navigation environment, fleet ship operation status and energy consumption data, through the use of big data association rule algorithm, principal component analysis, etc., we can mine the main factors affecting the ship energy efficiency and analyze the main factors In order to influence the dynamic response relationship between factors and ship energy efficiency, it can lay a foundation for the study of fleet ship energy efficiency model and economic benefit model considering multiple influencing factors, so as to improve the energy efficiency level and economic benefit of Fleet ships.In the aspect of energy efficiency optimization management of fleet based on big data analysis, adland et al. Took the super large crude oil transportation fleet as the object, analyzed the fleet operation data, and proposed a speed optimization method for fleet optimization management. Based on a large number of real ship operation data, coraddu et al. Calculated the ship's energy efficiency operation index using Monte Carlo method by taking the ship's displacement, speed, wind, wave and other parameters as random variables. Based on the big data analysis of navigation environment, Lee et al. Proposed a speed optimization method to effectively reduce ship energy consumption by quoting the theoretical calculation formula of fuel consumption.By using big data analysis technology, Han Jiatong proposed an intelligent optimization method of ship route. Through the acquisition of geographic information data and the construction of ship navigation knowledge database, through the mining and analysis of historical big data on typical routes, he proposed the optimal route decision-making method of port to port, any point to port, any point to any point, so as to optimize the ship route The energy consumption level of ships.Yan et al. Used the parallel distributed K-means clustering algorithm suitable for big data analysis to realize the division of the route segments. Based on the self-developed big data analysis platform, they analyzed the distribution characteristics of the navigation environment of the Yangtze River route, and proposed the ship energy efficiency optimization method based on the big data segment division of the navigation environment, which improved the ship's energy efficiency level.Although there have been exploratory studies on the application of big data technology in ship intelligent energy efficiency optimization, there are still problems and challenges: firstly, there is no systematic standard and application system for ship energy efficiency big data; secondly, the relevant research theory and technology system of ship intelligent energy efficiency optimization based on big data analysis is not mature, and there are some differences between ship energy efficiency and navigation environment There are still some problems to be further studied, such as feature analysis, data association mining between ship energy efficiency and navigation environment, and online learning based prediction model of navigation environment and ship operation conditions.