Train axle temperature monitoring system based on fluorescence fiber temperature measurement

Abstract

A train axle temperature monitoring system based on fluorescence fiber temperature measurement comprises a temperature alarm host and is characterized by further comprising at least one temperature collection unit connected with the temperature alarm host through a communication and power bus, wherein the temperature collection units are connected with at least one fluorescence fiber temperature measurement probe, and the fluorescence fiber temperature measurement probes are installed at the portions needing temperature measurement. The train axle temperature monitoring system based on fluorescence fiber temperature measurement is accurate in temperature measurement and good in electromagnetic interference resistance, has the fault judgment and alarm functions and can be refitted from an existing temperature measurement network on a train; furthermore, connection and communication are reliable, and temperature measurement inaccuracy and faults caused by demultiplexing and multiplexing of the train are avoided.

Description

technical field [0001] The invention relates to a temperature detection system of a train, in particular to a temperature detection system of a train axle. Background technique [0002] In recent years, my country's high-speed railway has developed rapidly, and the train running speed has reached 350km / h, and there are more and more various risk factors that may be encountered, so higher requirements are put forward for the safety of train operation. During the operation of the train, the impact, dynamic effect and vibration of the rolling stock and the rail will cause the heating of the bearings of the vehicle. When the bearings are worn and defective, the abnormal heating will increase, and at least it will cause machine damage and affect the normal operation of the vehicle. If it is heavy, it will cause fatigue damage or even eagerly cut the axle, which will directly cause the train to break down and overturn, causing huge loss of life and property, and seriously affectin...

AI Technical Summary

Problems solved by technology

But even if these measures are taken, a large number of failures still occur in the platinum resistance temperature sensor during use, and it cannot fully meet the needs of the train axle temperature alarm. It has the following disadvantages: 1. The insulation withstand voltage level is low. The motor car is grounded through the bogie. Sometimes there is a high voltage of up to 500V on the bogie. At the same time, the axle temperature alarm system needs to monitor the temperature of the motor, and the internal voltage of the motor is as high as 4000V.

Although the platinum resistance temperature sensor can withstand this high voltage through insulation, its protection reliability is poor. The cable shielding layer will age and crack after long-term use, resulting in insulation failure. The effects of this shortcoming are exacerbated with the help of pressure

2. The ability to resist electromagnetic interference is poor. The power motor of the train is also located on the bogie. Its power is very large and the electromagnetic radiation is very serious.

The cables of platinum resistance sensors are inevitably affected by electromagnetic radiation, and false alarms often occur

3. Poor reliability. The environment of the train bogie is very harsh. Accompanied by severe vibration and impact, sometimes it will be hit by stones on the track, and it will also experience complex and severe temperature and humidity changes.

The welding wire of the platinum resistance temperature sensor is extremely thin, and it is prone to disconnection and short circuit in a complex environment, resulting in poor reliability

4. Unable to self-diagnose, the platinum resistance temperature sensor measures the temperature by measuring the resistance at both ends of the lead wire. In order to eliminate errors, three-wire and four-wire systems are generally used, so it is impossible to self-diagnose the above-mentioned various faults

Some manufacturers use software algorithms to identify faults such as electromagnetic interference, but they still cannot completely solve the problem

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