beat365

Break the traditional vehicle electrical state can not sense the situation, the control, state information digital, for intelligent vehicles to provide intelligent control and data support. Features: Highly integrated, digital electrical, maintenance-free design concept, intelligent, easy graphic design for secondary development.

The on-board arch network monitoring system mainly focuses on the arch network fault problems during train operation, and monitors the pantograph structure status, arch network burning arc, arch network heating, etc. in real time through visible image acquisition, ultraviolet detection, infrared thermal image, binocular vision, laser triangulation, car body vibration compensation, Hall current sensing and other technologies

The walking section online monitoring system is an online real-time monitoring device developed to ensure the operational safety and quality of urban rail vehicles and to assess the health status of components.

The intelligent detection and collision avoidance system is a vehicle-mounted intelligent monitoring system developed for the business scenario of foreign object encroachment on the rail line to realize the active protection function for the train operation environment.

The system can effectively avoid or reduce safety accidents caused by crew fatigue driving, improve the management level of crew members, enhance the enterprise's safety production management capability and improve the comprehensive operation management level.

The vehicle-mounted intelligent track inspection system consists of three major subsystems: under-vehicle track defect image acquisition and positioning sensing system, in-vehicle intelligent inspection information processing and management system, ground vehicle section server and system terminal.

The onboard data integration and collection device can support remote tracking and monitoring of trains to ensure operational safety, automatic transmission of complete data to support train fault analysis, and full life-cycle train health management applications to support ground center systems.

Through artificial intelligence technologies such as computer vision, deep learning and data-driven hierarchical warning, it realizes real-time alerts for component abnormalities to achieve the goal of improving operational efficiency, reducing the amount of manual maintenance and lowering O&M costs.

The system pushes test results and abnormal alarms in real time to ensure safe train operation and improve maintenance efficiency.

The non-contact three-dimensional point cloud reconstruction measurement technology realizes dynamic and accurate measurement of geometric dimensions such as wheelset tread wear, rim thickness, rim height, wheel diameter, wheelset inside distance, OR value, and out-of-roundness of metro trains, and accurately identifies wheelset tread scuffing faults through infrared image stitching technology.

The system is installed on the train entry line or the operation main line, and uses non-contact infrared probes (fixed-point detection) or thermal imaging cameras (global detection) to detect the real-time temperature of important components such as train bearing end caps, gearboxes and motors, to achieve automatic fault diagnosis and customized graded alarms for the monitored components, and to ensure the safety of train operation.