摘要
In order to detect the failure of the related equipment of the CAFe device in time, an accelerator alarm system based on Kafka was designed. The system uses Phoebus software of EPICS to deploy its architecture. Kafka, as the streaming platform of the alarm system, can effectively increase the throughput of the system and realize real-time alarms. The experimental test results show that the system is stable and reliable in operation, simple in operation, and simple in interface. It has been applied to the front-end monitoring site of the CAFe device and can meet the needs of the staff to monitor the operating status of more than 2 000 PV in real time. The system solves the problem that the fault is difficult to locate and reduces the time for troubleshooting.
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