Train video monitoring system and monitoring program operation detection method thereof

Abstract

The invention discloses a train video monitoring system and a monitoring program operation detection method thereof. Each driver cab and passenger compartment of a train both comprise video encoders and power supplies. The driver cab further comprises a driver cab monitor screen, a video memory, a video monitoring server, and a driver cab camera. The driver cab monitor screen and the video memory of the driver cab are separately connected to the video monitoring server. The driver cab camera is connected to the video encoder which is arranged in the driver cab. The passenger compartment further comprises a switch and at least two passenger compartment cameras, wherein the passenger compartment cameras are connected to the video encoders. The switches among passenger compartments are in cascade connection one by one, and are finally connected to the video encoder of the driver cab. The power supplies provide power for the driver cab monitor screen, the video memory, the video monitoring server, the driver cab camera, the switches, the passenger compartment cameras, and the video encoders. According to the invention, the reliability of the operation of train video monitoring software is guaranteed in time sequence, fault-tolerance processing of the software is realized, and the high reliability required by the train is realized.

Description

technical field [0001] The invention relates to a train monitoring system and a method thereof, in particular to a train video monitoring system and a detection method of a video monitoring software watchdog applied to rail transit fields such as stations, subways and trains. Background technique [0002] At present, video surveillance CCTV is widely used in stations, subways, and trains for real-time image monitoring, which is a favorable technical guarantee for safe operation of trains and emergency response. The train video monitoring system is to meet the safety needs of trains, locomotives and subways. When you leave the driver's cab, you can clearly understand the situation of all the passenger compartments of the train and the conditions of the driver's cabs at both ends through the monitoring screen, so as to prevent related accidents in time. [0003] Because train video surveillance has high requirements on server performance and network, how to ensure the reliabi...

AI Technical Summary

Problems solved by technology

[0006] (1) Software failure cannot be automatically recovered

Since the train video monitoring software fails to recover automatically, the server needs to be manually restarted. When the driver is busy with other work and does not find that the video monitoring software has failed and cannot restart the server, the fault cannot be automatically recovered.

[0007] (2) Artificial startup server recovery method is inflexible

[0008] (3) The fault recovery time is long

It takes a certain amount of time to artificially restart the server to run the train video monitoring software, which will cause the real-time picture of the train to be unable to be monitored during this period

[0009] (4) The train video monitoring software will still fail and fail to implement fault-tolerant processing, and faults still exist

[0010] (5) The garbage process of the server still cannot be cleaned up, and the CPU usage rate is high, which will cause the train video surveillance software to malfunction easily

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