Research on Ship Track Optimization Based on Big Data Analysis

Ship track is inferred from AIS data, but massive track data will aggravate the storage pressure of ship control center. Based on the characteristics of ship track data, big data analysis technology is applied to sort out and fit ship track data to reduce the pressure of track data storage. This paper pre-processes the ship track data by collecting data and using the three-order difference method of big data analysis technology, and completes the ship track fitting process by segmental fitting, coordinate transformation, curve fitting and other methods. The experimental results show that the ship track fitting can be consistent with the actual ship track without affecting the local trend of the track data, which proves that the fitting effect is better and the ship track fitting results can be obtained with higher precision.