Dual redundancy method for communication front-end processor of rail transit integrated monitoring system

Abstract

The invention provides an FEP dual redundancy method for a communication front-end processor of a rail transit integrated monitoring system. All subsystems of rail transit comprehensive monitoring areaccessed; a dual-activation mode that two machines operate simultaneously and are different from a traditional dual-machine hot standby mode or a traditional dual-machine cold standby mode is adopted; independent cold and hot standby configuration can be carried out on data link configuration communicating with each subsystem, data and data link synchronization is carried out between the two communication front-end processors FEP through a direct heartbeat line, and data quality judgment, storage, data link switching and other work are carried out. Redundancy of a real-time server of an uppercomprehensive monitoring system is realized by adopting a HOST TO HOST communication mode, dependence on a virtual IP component in an operating system is eliminated, and cross-platform performance and stability are improved.

Description

technical field [0001] The invention relates to a dual-machine redundancy method for communication front-end processors (FEP) in a rail transit comprehensive monitoring system. Background technique [0002] With the rapid development of the rail transit industry, more and more subsystems need to be integrated in the comprehensive monitoring system. Due to the large amount of data accessed by each subsystem, the protocols are different, and the physical interface methods are different, so in most cases, each subsystem does not directly connect with the real-time server of the comprehensive monitoring system, but uses the real-time server and each subsystem. Data interaction and data preprocessing are performed by adding a communication front-end processor (FEP) (Front End Processor). This method not only improves the stability and security of the real-time server of the comprehensive monitoring system, but also reduces the data processing pressure of the real-time server. I...

AI Technical Summary

Problems solved by technology

The problem with this method is that the two communication front-end processors are virtualized into one virtual IP. Although it brings convenience to real-time server deployment and communication, the real-time server cannot clearly perceive which of the two communication front-end processors is faulty. , it is not easy to perform data quality verification when data is pulled or pushed

Moreover, relying on virtual IP components makes the FEP software of the communication front-end processor poor in cross-platform capability. When replacing different kernel operating systems, it is often not compatible and may easily cause hidden dangers in stability.

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