The Advanced Telecommunications Computing Architecture (ATCA) standard describes a powerful, high performance platform. Its implementation has been considered among candidates for a base of the control system of the X-ray Free Electron Laser (X-FEL), which is being built at Deutsches Electronen-Synchrotron (DESY) in Hamburg, Germany. The Low Level Radio Frequency (LLRF) control system is designed as a set of ATCA Carrier Boards. Each Carrier Board hosts an Intelligent Platform Management Controller (IPMC), which is developed in compliance with the PICMG specifications. IPMC is responsible for management and monitoring of components installed on Carrier Boards and pluggable Advanced Mezzanine Card (AMC) modules. The ATCA Shelf Manager is the main control unit of a single ATCA shelf, responsible for power management, fan modules and Carrier Boards installed in ATCA shelf. It provides a set of control and diagnostic capabilities regarding the shelf and its sub-modules. These capabilities are available for operators and can be used by higher level applications. This publication presents a software component intended to support management and supervision of the ATCA shelf and its sub-modules, including Carrier Boards with AMC modules. The application provides enhanced mechanisms of control and allows to acquire detailed information regarding status and parameters of crucial devices (e.g. power supply voltages, temperatures, presence of reference clocks). The information supplied from Shelf Manager combined with graphical user interface of the application provides visual representation of selected system components and contributes towards efficient control and supervision of Carrier Boards and entire ATCA-based platform.
The Advanced Telecommunications Computing Architecture (ATCA) and Micro Telecommunications Computing Architecture (μTCA) standards, intended for high-performance applications, offer an array of features that are compelling from the industry use perspective, like high reliability (99,999%) or hot-swap support. The standards incorporate the Intelligent Platform Management Interface (IPMI) for the purpose o advanced diagnostics and operation control. This standard imposes support for non-volatile Field Replaceable Unit (FRU) information for specific components of an ATCA/μTCA-based system, which would typically include description of a given component. The Electronic Keying (EK) mechanism is capable of using this information for ensuring more reliable cooperation of the components. The FRU Information for the ATCA/μTCA implementation elements may be of sophisticated structure. This paper focuses on a software tool facilitating the process of assembling this information, the goal of which is to make it more effective and less error-prone.
The Advanced Telecommunications Computing Architecture (ATCA) standard describes a powerful and efficient platform. With multiple integrated solutions like redundancies and intelligent control mechanisms this technology is characterized with reliability estimated at the level of 99.99999 percent. These features make the standard perfect for use in projects like the Free Electron Laser in Hamburg (FLASH) and the X-ray Free Electron Laser (X-FEL) in order to help them meet the requirements of high availability and reliability. The ATCA standard incorporates advanced control systems defined in the Intelligent Platform Management Interface (IPMI) specification as one of the key elements. The entire ATCA implementation retains its functionality as long as the IPMI remains operational. The complexity level of the application increases, which results in preparing it to run and debugging being more difficult to perform. At the same time, only scrupulous elimination of any kind of possible deficiencies can enable the ATCA implementation to offer the desired level of reliability. Thus, diagnostics become crucial, which creates a need for additional tools performing these tasks during the preparations of both hardware and software for the ATCA application. The paper presents application aiding in development of the prototype Carrier Board by enabling the user of external PC station to perform diagnostic and control activities over the Board. It helps in examining all its components at the stage of running the Board, as well as in further operation analysis.
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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