Diagnosis system and method for vessel condition

Abstract

The invention discloses a diagnosis system and method for the vessel condition. The diagnosis system comprises a vessel-end data monitoring system and a shore-end cloud diagnosis system, wherein the vessel-end data monitoring system comprises an engine room data collection base station, an industrial personal computer, a vessel-end server and a vessel-end multi-information fusion and analysis module; the shore-end cloud diagnosis system comprises a vessel data server cluster, a data algorithm server and a user client. The processing of data is divided into two levels, wherein in the first level, real-time data are analyzed conventionally, the calculated amount is small, and the real-time performance is high; in the second level, vessel-end data are sent to the shore-end cloud diagnosis system through the vessel and shore communication, complex analysis and condition trend forecast are carried out, the analysis is more accurate, the forecast function is achieved, but the real-time performance is poor. Through the double-level data analysis mode, the requirement for real time performance can be met, and complex and deep operation of mass data is achieved. The calculation result can be used for guiding seamen to operate vessels.

Description

technical field [0001] The invention relates to a ship data processing technology, in particular to a ship state diagnosis system and a diagnosis method thereof. Background technique [0002] With the development of ship informatization and the improvement of engine automation, modern engine management is facing two problems: massive data analysis and multi-information fusion. Due to the many constraints on the ship's end, and because the analysis and fusion of a large amount of data are complex and computationally intensive, it is difficult to implement on the ship's end. In the field of engine room data monitoring and fault diagnosis / early warning, there are the following problems: [0003] 1. In order to improve the digitalization of the engine room, it is necessary to add a large number of sensors, and thus generate a large amount of data. In order to analyze data to obtain diagnostic results and trend predictions, complex calculations are required. Due to various res...

AI Technical Summary

Problems solved by technology

[0005] 3.3G network is suitable for ship-to-shore communication of coastal ships and inland river ships, but due to the technical characteristics of 3G network itself, it is still difficult to apply to sea ships

Therefore, a series of problems such as sensor installation, use, maintenance, and cost have been brought, which are difficult for existing ships to solve

Images