Railway automatic overpass electronic switch light control thyristor monitoring and protection device and method
By connecting a BOD action and overvoltage event identification unit in parallel across the optically controlled thyristor and combining it with a monitoring unit for passive state monitoring and intelligent identification, the problem of not being able to verify the BOD status and distinguish the type of overvoltage event in the existing technology is solved. This enables accurate monitoring of the health status and overvoltage events of the optically controlled thyristor and analysis of the cause of the fault.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- XIAN PERI POWER SEMICONDUCTOR CONVERSION TECHNOLOGY CO LTD
- Filing Date
- 2026-03-10
- Publication Date
- 2026-06-30
AI Technical Summary
Existing technologies cannot achieve online verification of the function and action threshold of the internal BOD of the anti-parallel optically controlled thyristor (LTT) in a single device, and lack reliable monitoring of the on/off state of the thyristor body and intelligent identification of overvoltage events, resulting in the inability to distinguish the cause of the fault and provide key data during operation and maintenance.
By connecting a BOD action and overvoltage event identification and reporting unit in parallel across the two ends of the optically controlled thyristor, and combining it with the monitoring unit for passive state monitoring and intelligent identification, reliable reporting and threshold verification of BOD protection actions are achieved, distinguishing between system faults and external overvoltage events, and providing comprehensive front-end perception and intelligent diagnosis.
It enables real-time monitoring of the health status of optically controlled thyristors and accurate identification of overvoltage events, providing key operation and maintenance information and fault cause analysis, thereby improving monitoring reliability and diagnostic capabilities.
Smart Images

Figure CN122307283A_ABST