上海光源全局束流诊断数据仓库开发

Development of Global Data Warehouse for Beam Diagnostics at SSRF

上海光源已建成的束流诊断系统可满足光源的日常运行和机器研究需要。但由于缺少有效的事件触发处理机制,无法保存并分析运行期间突发的全局轨道扰动、BPM故障和DCCT噪声等异常现象。为解决以上问题,本文在现有束测系统的基础上开发了基于Soft IOC的全局束流诊断数据仓库。数据仓库通过在线监测加速器和束测系统的运行状况,在发现异常现象时及时发出触发信号并存储相关数据进行分析。运行结果表明,数据仓库能有效检测加速器和束测系统异常,并可用于生成束测设备置信度指标,为进一步优化束测系统和提高光源运行性能提供有效依据。

The beam diagnostic system is adequate during the daily operation and machine study at the Shanghai Synchrotron Radiation Facility （SSRF）. Without the effective event detecting mechanism, it is difficult to dump and analyze abnormal phenomena such as the global orbital disturbance, the malfunction of the BPM and the noise of the DCCT. The global beam diagnostic data warehouse was built in order to monitor the status of the accelerator and the beam instruments. The data warehouse was designed as a Soft IOC hosted on an independent server. Once abnormal phenomena happen it will be triggered and will store the relevant data for further analysis. The results show that the data warehouse can detect abnormal phenomena of the machine and the beam diagnostic system effectively, and can be used for calculating confidential indicators of the beam instruments. It provides an efficient tool for the improvement of the beam diagnostic system and accelerator.