When a train is in operation, the load-bearing bearings will generate heat due to friction. When a fault occurs inside the bearing, the friction will intensify and the temperature will rise sharply. When it reaches a certain level, it will form a hot axle, and in severe cases, it may lead to faults such as axle cutting. Therefore, it is necessary to monitor and warn of the temperature of the wheel axle and other parts in real time to improve the safety and reliability of railway equipment.

The YoseenIR axle temperature detection system, by installing high-speed infrared thermal cameras at key locations along the railway, automatically scans the axles of passing trains. It is used for real-time online monitoring of axle boxes, bearings, etc. and to achieve automatic high-temperature early warning, preventing faults caused by high-temperature deformation. The high-speed infrared thermal camera can achieve large-scale, all-weather remote monitoring, improving the efficiency of fault detection. Reduce the cost of manual inspection.

125Hz ultra-high frame rate, with sensitive response

A 125Hz high-speed thermal camera with a 4ms thermal time constant is selected, which can respond quickly to high-speed axles and provide high-definition images without delay.

The temperature resolution is 0.03℃, with high precision

A temperature resolution of 0.03℃ ensures high temperature measurement accuracy, guaranteeing that the thermal camera can detect minute temperature changes during the operation of the vehicle axle.

Real-time, uninterrupted and rapid data capture

Quickly capture each frame of temperature images when the train passes at high speed to achieve real-time precise monitoring of thermal status and over-temperature early warning.

Stable performance and suitable for harsh environments

Specifically designed for railway research, it can adapt to various harsh outdoor environmental conditions of railways, providing reliable temperature monitoring whether it is a cold winter or a hot summer.

Data analysis and trend prediction to enhance efficiency

Real-time temperature data collection and storage, as well as analysis of the temperature change trend of the axle, provide a basis for preventive diagnosis and maintenance of each component.

The railway axle temperature monitoring system effectively prevents faults and accidents caused by axle overheating through real-time monitoring and early warning. Its high-precision and high-reliability features, combined with intelligent data analysis and remote monitoring functions, provide a strong safety guarantee for railway operations. Through this system, railway management departments can better maintain the safe operation of trains, reduce economic losses, and improve overall operational efficiency.