【摘要】 合肥光源软X射线共振散射（Resonant Soft X-ray Scattering,RSoXS）实验站是一条新建的围绕软物质体系和聚焦工业应用的实验站，能量范围覆盖240～700 eV。为了实现自动化的实验流程控制和数据采集并且提供高效的数据访问服务，设计并开发了一整套涵盖设备控制、实验流程控制和实验数据管理在内的RSoXS实验站控制系统。该系统包括设备控制软件、实验流程控制软件、实验数据管理软件，其中设备控制软件基于EPICS(Experimental Physics and Industrial Control System)进行设备控制，实验流程控制软件基于Bluesky框架完成自动化的实验流程控制和数据采集，实验数据管理软件基于SciCat元数据目录框架进行实验数据的集中管理并使用HDF5作为统一文件格式。目前控制系统已在RSoXS实验站进行了部署，经测试证明该系统可以自动化地执行多样品连续扫描、原位扫描、能量扫描在内的多种实验模式，并且对实验数据进行了统一的压缩和管理，压缩比3.84，满足了RSoXS实验站的控制要求。更多还原

【Abstract】 [Background] The resonant soft X-ray scattering(RSoXS) station at the Hefei Light Source(HLS) is a newly established facility dedicated to soft matter systems and industrial applications, covering an energy range from 240 eV to 700 eV. [Purpose] This study aims to design and develop a comprehensive control system for the RSoXS experimental station to achieve automated experimental process control, data acquisition, and efficient data access services. [Methods] The control system was designed with three main components: device control software, experimental process control software, and experimental data management software. Firstly, the device control software was developed based on the EPICS(Experimental Physics and Industrial Control System) framework to enable efficient control of experimental devices including motion systems, detectors, and monitoring equipment. Then, the experimental process control software was implemented using the Bluesky framework to automate experimental processes and facilitate data collection, with custom device abstraction classes developed for nonstandard EPICS motor devices. Finally, based on the SciCat metadata catalog framework for centralized management of experimental data, the data management software was constructed utilizing HDF5 as the unified file format and incorporating web-based visualization tools. [Results] The control system has been successfully deployed and tested at the RSoXS experimental station. The system demonstrates the capability to automate various experimental modes including multi-sample continuous scanning, in-situ temperature scanning, and energy scanning. Performance testing shows that the device control interface achieves a refresh rate of 2.5 Hz, meeting the real-time requirement. The system achieves a data compression ratio of 3.84 for experimental files, with compression time of 0.95 s per acquisition. Web service data query response time averages 22.89 ms for individual dataset searches. [Conclusions] The developed control system in this study successfully meets the operational requirements of the RSoXS experimental station at HLS. The system provides automated experimental workflow management with quantifiable performance improvements including 2.5 Hz interface refresh rate and 3.84:1 data compression ratio. The integration of EPICS, Bluesky, and SciCat frameworks creates a robust platform that enhances experimental efficiency and data accessibility for the RSoXS facility.更多还原