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StreamDevice, as a general-purpose string interface device���s Epics driver, has been widely used in the control of devices with network and serial ports in CAFe equipment. For example, the remote control of magnet power supply, vacuum gauges, and various vacuum valves or pumps, as well as the information reading and control of Gauss meter equipment used in magnetic field measurement. In the process of on-site software development, we found that various errors are caused during the deployment of StreamDevice about the dependence on software environment and library functions, which because of different operating system environments and EPICS tool software versions. This makes StreamDevice deployment very time-consuming and labor-intensive. To ensure that StreamDevice works in a unified environment and can be deployed and migrated efficiently, the Docker container technology is used to encapsulate its software and its application environment. Images will be uploaded to an Aliyun private library to facilitate software developers to download and use., Proceedings of the 18th International Conference on Accelerator and Large Experimental Physics Control Systems, ICALEPCS2021, Shanghai, China

High-precision magnetic field measurement and control technique significantly guarantees the accurate realization of the magnetic confinement of accelerators. Using real-time magnetic field intensity as the feedback to adjust the magnetic field current input can be a promising strategy. However, the measurement accuracy of the Hall-sensor is hard to meet feedback requirements because of multiple affection from external factors. Meanwhile, the NMR(Nuclear Magnetic Resonance sensor), which can provide high-precision magnetic field measurement, can hardly meet the requirements against the real-time control due to its strict requirements on the uniformity of the measured magnetic field, as well as its low data acquisition speed. Therefore, a magnetic field measurement system based on multi-Hall sensors is designed to solve this problem. Four Hall-sensors are used to measure the target magnetic field in this system. An Adaptive fusion algorithm is used to fused collected values to obtain the best estimate of the magnetic field intensity. This system effectively improves the accuracy of magnetic field measurement and ensures the instantaneity of the measurement., Proceedings of the 18th International Conference on Accelerator and Large Experimental Physics Control Systems, ICALEPCS2021, Shanghai, China

The institute of modern physics (IMP) has two sets of linear accelerator facilities, they are CAFe (China ADS front-end demo linac) and LEAF (Low Energy Accelerator Facility). The Main equipment of LEAF facility consists of ion source, LEBT (Low Energy Beam Transport), RFQ (Radio Frequency Quadrupole) and some experiment terminals. Compare with LEAF, CAFe equipment has more and adds MEBT (Middle Energy Beam Transport) and four sets of superconducting cavity strings at the back end of RFQ. In the process of commissioning and running linac equipment, The EPICS Archiver application and Alarm system are used. According to the refined control requirements of the facility sites, we have completed the software upgrade and deployment of the archiver and alarm systems. The upgraded software systems have made the operation of linac machines more effective in term of monitoring, fault-diagnostic and system recovery, and becomes more user-friendly as well., Proceedings of the 18th International Conference on Accelerator and Large Experimental Physics Control Systems, ICALEPCS2021, Shanghai, China

In accelerator control, the alarm system is a very im-portant real-time monitoring and control system. In order to find specific failures of accelerator-related equipment in time, improve the high availability of the equipment, and ensure the long-term operation of the accelerator. An accelerator alarm system based on Kafka was designed and built on the CAFe. The system uses Phoebus for ar-chitecture deployment. Kafka is used as the streaming platform of the alarm system, which effectively improves the throughput of the system and realizes real-time alarms. In order to realize the function of remote monitor-ing of data in the central control room, CS-Studio is used to draw the opi interface to deploy to the enterprise WeChat platform to realize remote data monitoring. This system greatly improves the response speed of fault han-dling and saves a lot of valuable time for accelerator fault handling., Proceedings of the 18th International Conference on Accelerator and Large Experimental Physics Control Systems, ICALEPCS2021, Shanghai, China