Ship traffic management system disaster recovery method supporting dual-homing protection

Abstract

The invention discloses a ship traffic management system disaster recovery method supporting dual-homing protection. The method comprises the following steps: step 1, setting a VTS system front-end sensor; step 2, acquiring data of a front-end sensor; 3, front-end sensor data are processed and stored in the double VTS centers in real time; step 4, structural data storage and bidirectional synchronization between the double VTS centers are carried out; and step 5, the user terminal belongs to the double VTS centers. According to the method, different protection mechanisms are adopted for front-end sensor data and structured data, the front-end sensor data are transmitted back to double VTS centers in real time to be processed and stored, the structured data generated by each VTS center is synchronized to the other VTS center in real time after being stored, and then a user terminal is dual-attributed to the VTS center. Meanwhile, the double VTS centers serve as full-function full-jurisdiction service center redundancy for each other, so that the service of the VTS system is ensured not to be interrupted, and the integrity and continuous availability of data are ensured under the disaster condition, and the system has the characteristics of low cost, high real-time performance, high reliability, wide applicability and the like.

Description

technical field [0001] The invention relates to the field of disaster recovery of information systems, in particular to a disaster recovery method for a ship traffic management system supporting dual homing protection. Background technique [0002] The large-scale VTS system is mainly used to supervise the navigable waters with high ship traffic density. The region where the economy is active, the cargo throughput is large, the water traffic participants are many, the risk of ship collision and water pollution is high, and the supervision pressure is huge. As the core system of water traffic safety supervision, the VTS system should be able to keep the 7*24 hours of continuous operation of the VTS system in terms of reliability in order to meet the regulatory requirements. Data integrity has become the core and most critical design requirement of the VTS system. The large-scale VTS system itself has a wide range of supervision, and has the characteristics of large data proc...

AI Technical Summary

Problems solved by technology

Large-scale VTS system data is important business data for water supervision, including a large amount of radar video, VHF voice, DF data, CCTV video stream data, business data (structured data) and other types of large-capacity real-time data, and the supervision data is lost for a long time Therefore, it is difficult to realize the dual-center data synchronization and consistency guarantee mechanism, which requires high link quality and bandwidth.

However, due to the consideration of construction cost and maintenance cost, the existing VTS system usually rents the link of the operator and crosses cities, and the bandwidth is usually 100M or less, so it is difficult to provide a communication link that meets the bandwidth and quality requirements

From the perspective of disaster recovery switching time requirements, due to the high requirements for the continuous operation of the large-scale VTS system business, if the same-city active-standby mode or the two-site three-center mode is adopted, the recovery time will be long, and the RPO cannot meet the business requirements; The remote multi-active solution can achieve a shorter RPO, but it requires the single-point application of the VTS data processing center to be transformed into a cluster application. The dual-center network requires extremely high bandwidth and stability, and the transmission algorithm and verification mechanism require high reliability. Realization cost and technical difficulty are high, and feasibility is not strong

In summary, the existing disaster recovery mechanism is difficult to meet the business needs of large-scale VTS systems

Images