Based on the feature correlation data analysis mechanism of big data, a complete set of intelligent operation and maintenance management system for ships or ocean platforms has been developed, which obtains the relationship between equipment parameter changes and the operation status of ships or ocean platforms, realizes the whole process of obtaining and storing, analyzing and calculating, predicting and diagnosing operation and maintenance big data, timely discovers the trend of equipment degradation and predicts faults in advance, as well as intelligent data statistics and analysis for making decisions on maintenance cycles. Thus reducing the impact of uncertainty caused by equipment failures in the operation and maintenance of ships or offshore platforms. We have conducted actual ship and ocean platform installation, application, and testing to comprehensively grasp the overall health dynamics of the system in ship or ocean platform operation and maintenance. Realize intelligent management and maintenance of ship shore integration during the operation and maintenance stage of ships or ocean platforms, enhance the intelligence level of ships or ocean platforms, and achieve self-learning and intelligent maintenance.