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EN
The paper describes a new methodology that allows to design scalable complex control and data acquisition systems taking into consideration the additional, non-functional requirements of High-Energy Physics (HEP). Electronic systems applied in HEP often operate in difficult conditions. Access to such devices is difficult or even impossible. The HEP systems require high availability, serviceability and upgradeability. The operating conditions of these systems are even more difficult than for telecommunication devices. Therefore, a different methodology should be applied than for classical telecommunication systems, when designing electronics used in high-energy physics applications. Electronic systems also need a suitable hardware platform that not only assures high availability, simplifies maintenance and servicing but also allows to use mixed analogue-digital signals. The author made an attempt to develop a new methodology suitable for designing of complex data acquisition and control systems of HEP. The Low Level RF (LLRF) system of European Free Electron Laser (EXFEL) and Image Acquisition System (IAS) prototype developed for International Thermonuclear Experimental Reactor (ITER) tokamak are presented as examples of complex electronic systems that were designed according to the proposed methodology.
EN
The High Energy Physics (HEP) experiments, due to their large scale, required performance and precision, have to be controlled by complex, distributed control systems. The systems are responsible for processing thousands of signals from various sensors of different types. Very often, one of the data sources applied in such systems are visible light/infrared cameras or other imaging sensors, which provide substantial information about studied phenomena. High data throughput for camera systems require dedicated mechanisms for data collecting and processing. Moreover, the images from cameras should be also available to system operator. It needs the support from both operator panels interface and control application which should provide data in the dedicated format. The paper presents two different approaches to image distribution, processing and visualisation applied in distributed control systems. Discussed is the issue of support for cameras and image data implemented in the Distributed Object Oriented Control System (DOOCS) and an example control system designed to the needs of image acquisition system on the base of the Experimental Physics and Industrial Control System (EPICS) environment.
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