Ocean-going ship hydro-meteorological multi-source data fusion acquisition and processing method

Abstract

The application discloses a method for collecting and processing hydro-meteorological multi-source data of an ocean-going ship, and relates to the technical fields of marine observation and data processing. The method comprises the following steps: dynamically determining a sampling frequency according to a sea area priority and a real-time change rate of hydro-meteorological elements, collecting original data and adding a frequency identifier; identifying a sensor protocol, and encapsulating the data into a standardized data frame; performing multi-level quality control, determining wave height anomalies based on a wind wave consistency deviation index and a duration; interpolating the abnormal data and adding a confidence identifier; transmitting the data according to the frequency identifier, generating a voyage feature snapshot and returning to the port; receiving the data, combining the data with dynamic AIS data and a background field for variational assimilation, and adjusting the assimilation weight according to the confidence identifier; and cross-comparing the data of different ships, and sending a remote self-checking instruction when the deviation exceeds a threshold. The application solves the technical problems of sparse marine observation data, non-uniform device formats, high communication costs and difficult data quality guarantee.

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