CERN Gets Reliable Data Access Down to a Science Using Terracotta
公司规模
Large Corporate
地区
- Europe
国家
- Switzerland
产品
- BigMemory Max
- C2MON
- TIM
- DIAMON
技术栈
- In-memory data fabric
- Redundant cluster solution
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Cost Savings
技术
- 基础设施即服务 (IaaS) - 云计算
适用功能
- 离散制造
- 质量保证
用例
- 预测性维护
- 过程控制与优化
服务
- 系统集成
- 软件设计与工程服务
关于客户
CERN, the European Organization for Nuclear Research, is the world’s largest particle physics research center. Scientists from around the world conduct high-energy physics experiments at CERN using the Large Hadron Collider (LHC) particle accelerator and other equipment. Twenty member states and about 3,200 employees make it possible to analyze groundbreaking research projects on subjects such as the structure of matter. The organization operates a variety of process visualization and control systems to monitor the equipment, including the Technical Infrastructure Monitoring (TIM) system and Diagnostics and Monitoring (DIAMON).
挑战
Physicists at CERN conduct extensive experiments using particle accelerators. A variety of process visualization and control systems is used to monitor the equipment, including the TIM system and Diagnostics and Monitoring (DIAMON). TIM monitors around 120,000 sensors in such areas as building services engineering, while DIAMON monitors some of the equipment and IT components related to the particle accelerators. Technicians and engineers at the control stations have dashboards that show the status of the systems; the dashboards are continuously updated based on the data from the monitoring systems. It is, therefore, of the utmost importance to CERN to operate the monitoring platforms in the most fail-safe way possible. Because these systems play the role of a control center, unexpected occurrences, power outages and major accidents result in a large number of events. One of the requirements for the implementation was that the incoming data could be processed in less than one second. Even during the greatest peaks, the infrastructure must be stable enough to handle the large number of status messages and help the staff in the control center and engineers troubleshooting the systems.
解决方案
To achieve the necessary high level of availability and robustness, the CERN IT team developed the CERN Control and Monitoring Platform (C2MON), a redundant cluster solution for operating any monitoring platform. TIM and DIAMON are the first two systems to be implemented on the new high-availability solution. One of the central components of C2MON is Terracotta BigMemory, Software AG’s in-memory data fabric solution. Terracotta BigMemory provides a high-performance in-memory store that is shared by the cluster solution’s servers and reliably handles even the highest traffic. Terracotta provides distributed in-memory storage for the server systems in the cluster solution, which has been active since the beginning of 2012. Based on the C2MON architecture, the TIM and DIAMON platforms operated throughout 2012 without any significant downtime. The high performance of Terracotta’s in-memory solution also accelerated the overall system’s response times. In addition, CERN’s IT team is now able to add patches and new products to C2MON without interrupting central monitoring services.
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Remote Monitoring & Predictive Maintenance App for a Solar Energy System
The maintenance & tracking of various modules was an overhead for the customer due to the huge labor costs involved. Being an advanced solar solutions provider, they wanted to ensure early detection of issues and provide the best-in-class customer experience. Hence they wanted to automate the whole process.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
System 800xA at Indian Cement Plants
Chettinad Cement recognized that further efficiencies could be achieved in its cement manufacturing process. It looked to investing in comprehensive operational and control technologies to manage and derive productivity and energy efficiency gains from the assets on Line 2, their second plant in India.
Case Study
Airbus Soars with Wearable Technology
Building an Airbus aircraft involves complex manufacturing processes consisting of thousands of moving parts. Speed and accuracy are critical to business and competitive advantage. Improvements in both would have high impact on Airbus’ bottom line. Airbus wanted to help operators reduce the complexity of assembling cabin seats and decrease the time required to complete this task.
Case Study
Aircraft Predictive Maintenance and Workflow Optimization
First, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.
