Author: Chen, Z.C.
Paper Title Page
WEPGF072 Parameters Tracking and Fault Diagnosis base on NoSQL Database at SSRF 1
 
  • Y.B. Yan, Z.C. Chen, L.W. Lai, Y.B. Leng
    SINAP, Shanghai, People's Republic of China
 
  As a user facility, the reliability and stability are very important. Besides using high-reliability hardware, the rapid fault diagnosis, data mining and predictive analytic s are also effective ways to improve the efficiency of the accelerator. A beam data logging system was built at SSRF, which was based on NoSQL database. The logging system stores beam parameters under some predefined conditions. The details of the system will be reported in this paper.