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ALICE DCS Workshop Day 10th September. 2001

ALICE DCS Workshop Day 10th September. 2001. The Cooling and Ventilation Control System D. Blanc, Process Control Team and Project Leader CERN ST/CV-Design Unit. The CV control system requirements Keys Towards homogeneity CV main control system architecture

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ALICE DCS Workshop Day 10th September. 2001

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  1. ALICE DCS Workshop Day10th September. 2001 The Cooling and Ventilation Control System D. Blanc, Process Control Team and Project Leader CERN ST/CV-Design Unit

  2. The CV control system requirements Keys Towards homogeneity CV main control system architecture Operability and maintainability Designing process and control system for dynamic performances Decisions made during design procedure Cooling control system architecture Conclusions ALICE DCS Workshop Day10th September. 2001 D.Blanc ST-CV Summary

  3. CV Control System design stage starts more than three years ago Prototype was built with the SPS-BA Cooling Plant First technical specifications for LHC-Ventilation surface building in 1997 Openness and networking, to provide flexibility in a heterogeneous and distributed environment Powerful local supervisory tools Well-adapted operation and maintenance tools, to improve the CV process control reliability and precision Integration of the CV CS in other monitoring and control systems: the Experiment DCS, as master of the CV control architecture the TCR DCS monitoring system, which centralizes the CERN technical data ALICE DCS Workshop Day10th September. 2001 D.Blanc ST-CV CV Control System Requirements ...keeping a global and homogeneous solution

  4. 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 thetechnical evolution: up-to-date control systems with a lower maintenance effort Reuse of well-proven solutions: robustness Complex processes complicated process control systems ALICE DCS Workshop Day10th September. 2001 D.Blanc ST-CV Keys towards homogeneity

  5. Trouble Diagnosis Post-mortem analysis Web-access to layer 2 Archiving station Layer 4: Data handling and web supervision Reference Data Base Data coherence Standardization of interfaces (for remote data configuration) Technical Data Server Layer 3: TCR remote supervision Windows NT Workstations Flexibility Process-customized solutions Middleware Experiment SCADA: PVSS2 SCADA: Wizcon Reliability Availability Maintainability ALICE DCS Workshop Day10th September. 2001 D.Blanc ST-CV CV Control System Architecture Data archiving and web-based supervisory tools CERN technical data monitoring Layer 2+: Experiment supervision Process control and supervision Layer 2: Local supervision Cellbus: Ethernet TCP/IP Process regulation PLC: Schneider / Siemens Layer 1: Acquisition and regulation

  6. Operation-oriented tools (alarms, HCI,…)designed and built by cross-disciplinary teams Emphasis in validation tests and acceptance procedures Strong effort in project documentation to keep the in-house knowledge for enabling maintenance and evolution Software configuration management tools: operational software library and traceability of the upgrades International standards: IEC 1131-3, IEC 61508, IEC 61506, ... ALICE DCS Workshop Day10th September. 2001 D.Blanc ST-CV Operability and maintainability Building control systems to be operational for 10-15 years!!!

  7. ALICE DCS Workshop Day10th September. 2001 D.Blanc ST-CV Designing Process and Control System forDynamic Performances Equipment Design Should provide flexibility for dynamic operations as well as achieving steady-state objectives. Equipment should be design to provide good dynamic responses high steady state and efficiency Plant Operating Conditions Key Factors for Profitable PLANT OPERATION Process Control Architecture Dynamic Performances have to be close to Performances specification The Control Architecture is organized in the way that gives means to achieve our objectives with high level of flexibility and capable to follow the industrial evolution Level of disturbance and effects. Effects of multivariable process interaction and process environmental constraints

  8. ALICE DCS Workshop Day10th September. 2001 D.Blanc ST-CV Major Decisions Made During the Design Procedure Measurements : Selecting the appropriate sensors Final elements : Providing final elements with feature contributing to good control performances Process operability : Providing good steady-state and dynamic behavior that enables the control performance objectives to be achieved Control Structure : Provide the proper interconnection of measured and controlled variables Control Algorithms : Select the proper algorithm for high performance regulator

  9. Cooling Plant The Cooling Control System TCR-SCADA PVSS2 Experiment-SCADA PVSS2 Alarms, Commands and Process Status report GTC for cooling Plant centralised supervision Automation of the cooling plant Regulation algorithms for high performance controllers CERN TCP-IP Ethernet service Programmable Logic Controller (PLC) Sensors and actuators power control Wired connections Automation of the Chilled-Water Plant Standard Fieldbus Inter processes data exchange Dedicated sensors for Data acquisition through standard fieldbus Programmable Logic Controller (PLC) laptop for local monitoring and control CERN TCP-IP Ethernet service Surface building area

  10. The control of cooling processes can be achieved without considering specific solutions and by using a fully Industrial SCADA-based control architecture. The retained solution provides a high process control precision. A global vision of the cooling and ventilation facilities allows to achieve the required levels of flexibility, coherence and homogeneity in order to assure the follow-up of the technical evolution. The reusability of the well-proven solutions results in safer control systems: better reliability (robustness) and availability (maintainability). ALICE DCS Workshop Day10th September. 2001 D.Blanc ST-CV Conclusions

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