PCa PAC 2000 Desy Hamburg Germany A Control
PCa. PAC 2000 Desy, Hamburg, Germany A Control System Solution for CERN CV Facilities in the LHC Era D. Blanc, M. C. Morodo, CERN, Geneva, Switzerland PCa. PAC 2000, Desy D. Blanc, M. C. Morodo, CERN ST-CV
Summary z z z Introduction A fully industrial SCADA-based solution The local supervisory station Operability and maintainability In practice: The SPS cooling control system Conclusions and future perspectives PCa. PAC 2000, Desy D. Blanc, M. C. Morodo, CERN ST-CV
Background and Requirements z The classic scheme: z CV Control System Requirements: y Specific solutions to optimize the control of each individual process y Heterogeneity: very difficult operation, maintenance and evolution of the global control environment z Now, the aim is: y To optimize the control of the individual processes but keeping a global and homogeneous control system solution PCa. PAC 2000, Desy y Openness, for our heterogeneous environment y Networking, for the high geographical dispersion of the processes y Powerful local supervisory tools, core of the control system architecture y Well-adapted operation and maintenance tools, to improve the process control reliability y Integration in the TCR monitoring system, by means of standard interfaces D. Blanc, M. C. Morodo, CERN ST-CV
Keys towards homogeneity z z z Standard industrial process control architectures Flexibility: scalable and modular architectures Reference Models: coherence and homogeneity Integration of the Reference Models for particular solutions Ease the follow-up of the technical evolution: up-to-date control systems with a lower maintenance effort z Reuse of well-proven solutions: robustness Complex processes PCa. PAC 2000, Desy complicated process control systems D. Blanc, M. C. Morodo, CERN ST-CV
Architecture Data archiving and web-based supervisory tools Trouble Diagnosis Post-mortem analysis Web-access to layer 2 Archiving station Layer 4: Data handling and web supervision Reference Data Base Data coherence (for remote data configuration) CERN technical data monitoring Layer 3: TCR remote supervision Process control and supervision Layer 2: Local supervision Standardization Technical Data Server of interfaces Flexibility Processcustomized solutions Reliability Process regulation Layer 1: Acquisition and regulation PCa. PAC 2000, Desy Availability Windows NT Workstations SCADA: Wizcon Cellbus: Ethernet TCP/IP Fieldbus: Profibus DP World. FIP, CAN PLC: Schneider / Siemens Maintainability D. Blanc, M. C. Morodo, CERN ST-CV
The local supervisory station Wizcon HCI Real-time SCADA EC Driver TCP/IP TCR Remote Supervision Windows NT kernel Layer 3: Event-driven Wiz. Pro Wiz. DCS Drivers: PLC, OPC, DDE, . . . Wiz. PLC Wizcon for Internet, Wiz. SQL, . . . PCa. PAC 2000, Desy D. Blanc, M. C. Morodo, CERN ST-CV Layer 1: TCP/IP Acquisition Wizcon station
Operability and maintainability z Operation-oriented tools (alarms, HCI, …) designed and built by cross-disciplinary teams z Emphasis in validation tests and acceptance procedures z Strong effort in project documentation to keep the in-house knowledge for enabling maintenance and evolution z Software configuration management tools: operational software library and traceability of the upgrades z International standards: IEC 1131 -3, IEC 61508, IEC 61506, . . . Building control systems to be operational for 1015 years!!! PCa. PAC 2000, Desy D. Blanc, M. C. Morodo, CERN ST-CV
The case: SPS Cooling Control System z Scope: y 11 demineralised water cooling stations y The primary raw water circuit (BA 6 cooling towers) z Objectives: PCa. PAC 2000, Desy The SPS cooling system is responsible for supplying raw water to the heat exchangers inside the BAs and demineralised water for the cooling of the magnets D. Blanc, M. C. components Morodo, CERN and machine ST-CV y Design & implement the CS by introducing the new client-server architecture y Integrate the existing equipment for acquisition and Regulation into the new architecture y To provide the required reliability and precision
The case: SPS Cooling Control System Web access: Only for trouble diagnosis. No remote actions will be allowed!! Central archiving: Local supervisory stations send the Archiving station data periodically Layer 4: Data handling and web Operational data and tools: Definition of the supervision data and tools to serve the TCR operational Technical purposes Control EC: Software module to integrate the layer Room 2 in the TCR remote monitoring system Layer 3: TCR remote HCI: Operation interface tools displaying supervision real-time and archived process data Scheduler: For tasks only depending on Windows NT Workstations date-time conditions SCADA: Wizcon DCS: For high performance regulation algorithms, specific calculation and Layer 2: SPS auxiliary continuous control buildings Logic programs: For sequential running of the plants Fieldbus: Profibus DP, FIPIO Regulation: Single-variable and multi. PLC: Schneider / Siemens variable control loops, IMC predictive controller and Smith predictor, Fuzzy Logic Layer 1: SPS cooling D. Blanc, M. C. Morodo, CERN stations 2000, Desy PCa. PAC ST-CV Ethernet TCP/IP Web access to layer 2
The case: SPS Cooling Control System z The studies phase: SPS BA 6 prototype y Defining the Problems y Determining the Plant Operating Conditions y Defining the Control Objectives and Strategy z The design phase: y Functional and dysfunctional analysis y Detailed design and simulation z The implementation phase: z Organization: Feasibility study Engineering Data Review Technical Specification Call for tenders Contract follow-up Acceptance tests y Project management: CERN ST-CV Group y CERN cross-disciplinary team + Industrial Contractor PCa. PAC 2000, Desy D. Blanc, M. C. Morodo, CERN ST-CV Operational system
Conclusions z The control of the CV processes can be achieved without considering specific solutions and by using a fully Industrial SCADA-based control architecture z The retained solution provides with a high process control precision z A global vision of the CV facilities allows to achieve the required levels of flexibility, coherence and homogeneity in order to assure the follow-up of the technical evolution z The reusability of well-proven solutions results in safer control systems: better reliability (robustness) and availability (maintainability) PCa. PAC 2000, Desy D. Blanc, M. C. Morodo, CERN ST-CV
Thank you CERN ST - CV - Design Unit - Controls Didier. Blanc@cern. ch Carmen. Morodo. Testa@cern. ch PCa. PAC 2000, Desy CV Control Systems Leader CV Control Systems Projects Follow-up D. Blanc, M. C. Morodo, CERN ST-CV
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