Research On Intelligent Monitoring Technology Of Ship AIS Equipment Based On Big Data Platform

At present,with the rapid development of the domestic water transportation industry,the number of ships in China is growing rapidly.The functions of real-time data exchange and target information recognition between ships and ships,and between shore stations are becoming more and more important.Therefore,the automatic identification system has become an important means to ensure the safety of maritime navigation.As more and more ships are equipped with AIS equipment,the amount of data generated in the national AIS system is also increasing.However,problems such as the late start of domestic AIS and the imperfect rules for installing AIS equipment have caused the installation situation of domestic AIS equipment to be very confusing;Being normally connected to the AIS system and interfering with the AIS system brings great difficulties to domestic AIS monitoring.In response to the above problems,this paper designs and develops a set of monitoring system for ship AIS based on big data platform,and researches on the identification of multiple AIS equipment installed on the ship and the identification of the authenticity of ship position The analysis realizes the supervision and identification of the ship's AIS equipment.Based on the actual needs of AIS monitoring,this paper designs and develops the identification of multiple AIS equipment installed on ships based on big data analysis and algorithms,and on the basis of big data analysis and data statistics by researching big data platforms and the associated analysis algorithm-Apriori The identification method of the authenticity of the ship's position;on this basis,a ship AIS equipment monitoring system based on the big data platform is designed and implemented.This system adopts a service-oriented design idea to modularize the data preprocessing and ship effectiveness identification services in the architecture of the ship's intelligent monitoring system;read the data of the national AIS system through the data preprocessing service and write the data into the middle of the message Kafka,and mount the interface of each service software for ship effectiveness identification to Kafka,and update the external display database in real time according to the analysis results of the service to ensure that the results of the external display are kept up to date.In order to verify the feasibility of the system and the accuracy of the identification results,the client software is used to verify the various functional requirements of the system.After the functional requirements have been met,the key part of the multi-AIS equipment identification algorithm for the ship Test the accuracy and design different scene test algorithms to identify the effect.After testing,this system meets the business requirements and the identification result is more accurate;it can support real-time data access in the national AIS system,realize the monitoring of the national ship AIS equipment,improve the standardization of China's ship AIS equipment,and thus improve the AIS The security and standardization of the system.This article is related research work carried out under the support of the construction project "AIS Shore-based VDL Monitoring System"(2019.06-2020.04)of the Navigation Guarantee Center Of North Chin Sea(NGCN),MOT.