1. 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

2. Summary zThe CV control system requirements zKeys Towards homogeneity zCV main control system architecture zOperability and maintainability zDesigning process and control system for dynamic performances zDecisions made during design procedure zCooling control system architecture zConclusions ALICE DCS Workshop Day 10th September. 2001 D.Blanc ST-CV

3. CV Control System Requirements CV Control System design stage starts more than three years ago z Prototype was built with the SPS-BA Cooling Plant z First technical specifications for LHC-Ventilation surface building in 1997 z Openness and networking, to provide flexibility in a heterogeneous and distributed environment zPowerful local supervisory tools zWell-adapted operation and maintenance tools, to improve the CV process control reliability and precision z Integration of the CV CS in other monitoring and control systems: ythe Experiment DCS, as master of the CV control architecture ythe TCR DCS monitoring system, which centralizes the CERN technical data... keeping a global and homogeneous solution ALICE DCS Workshop Day 10th September. 2001 D.Blanc ST-CV

4. Keys towards homogeneity z Standard industrial process control architectures z Flexibility : scalable and modular architectures z Reference Models : coherence and homogeneity z Integration of the Reference Models for particular solutions zEase the follow-up of the technical evolution : up-to-date control systems with a lower maintenance effort zReuse of well-proven solutions: robustness Complex processes complicated process control systems ALICE DCS Workshop Day 10th September. 2001 D.Blanc ST-CV

5. CV Control System Architecture Layer 1: Acquisition and regulation Layer 2: Local supervision Layer 3: TCR remote supervisionLayer 4: Data handling and web supervision PLC: Schneider / Siemens Cellbus: Ethernet TCP/IP SCADA: Wizcon Windows NT Workstations Process regulation Process control and supervision CERN technical data monitoring Data archiving and web-based supervisory tools Archiving station Web-access to layer 2 Reference Data Base Technical Data Server (for remote data configuration) Trouble Diagnosis Post-mortem analysis Data coherence Standardization of interfaces Flexibility Process-customized solutions Reliability Availability Maintainability Layer 2+: Experiment supervision Middleware Experiment SCADA: PVSS2 ALICE DCS Workshop Day 10th September. 2001 D.Blanc ST-CV

6. Operability and maintainability z Operation-oriented tools (alarms, HCI,…) designed and built by cross- disciplinary teams zEmphasis in validation tests and acceptance procedures zStrong 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 10-15 years!!! ALICE DCS Workshop Day 10th September. 2001 D.Blanc ST-CV

7. Designing Process and Control System for Dynamic Performances Key Factors forProfitable PLANT OPERATION Equipment Design Plant Operating Conditions Process Control Architecture Equipment should be design to provide good dynamic responses high steady state and efficiency Should provide flexibility for dynamic operations as well as achieving steady-state objectives. 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 ALICE DCS Workshop Day 10th September. 2001 D.Blanc ST-CV

8. 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 ALICE DCS Workshop Day 10th September. 2001 D.Blanc ST-CV

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

10. Conclusions zThe control of cooling processes can be achieved without considering specific solutions and by using a fully Industrial SCADA-based control architecture. zThe retained solution provides a high process control precision. zA 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. zThe reusability of the well-proven solutions results in safer control systems : better reliability (robustness) and availability (maintainability). ALICE DCS Workshop Day 10th September. 2001 D.Blanc ST-CV