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Clouds in Real-Time

技术
  • 应用基础设施与中间件 - 数据库管理和存储
  • 平台即服务 (PaaS) - 数据管理平台
适用行业
  • 航天
  • 国家安全与国防
适用功能
  • 离散制造
  • 质量保证
用例
  • 预测性维护
  • 实时定位系统 (RTLS)
服务
  • 软件设计与工程服务
  • 系统集成
挑战
Northrop Grumman was tasked with developing a next-generation simulation application, the Cloud Depiction and Forecast System II (CDFS II), for the U.S. Air Force. The application needed to deliver results six times faster and with four times higher resolution than the previous system. The challenge was to program complex algorithms using object-oriented programming techniques. The previous system could only create a 48-hour forecast every six hours and a nine-hour forecast on request. The new system needed to improve on these capabilities.
关于客户
Northrop Grumman Corporation is a leading global security company with 120,000 employees. The company provides innovative systems, products, and solutions in aerospace, electronics, information systems, shipbuilding, and technical services to government and commercial customers worldwide. One of their projects was the development of the Cloud Depiction and Forecast System II (CDFS II) for the U.S. Air Force. This system provides near real-time global cloud analysis and forecasting, which is crucial for military operations. The system is operated by the Air Force Weather Agency (AFWA) and uses advanced algorithms and operational infrastructure to collect and analyze sensor data from three classes of military and civilian meteorological satellites.
解决方案
Northrop Grumman implemented the Versant Object Database for the CDFS II. This eliminated the overabundance of index structures and the mapping layer, resulting in much higher data ingestion rates. The Versant Object Database allowed CDFS II to perform data ingestion and analysis an order of magnitude faster compared to the old CDFS system. The in-memory object model represents the Versant database model one to one without any intermediate data definition language or runtime translation layer. As a result, CDFS II needed significantly fewer queries and correspondingly the number of database indexes required were substantially reduced.
运营影响
  • The implementation of the Versant Object Database resulted in faster development time, lower development cost, and greater ability to evolve the code to accommodate future requirements.
  • The new system can now create a 60-hour forecast every six hours and auto-generates a 12-hour forecast every hour, improving on the capabilities of the previous system.
  • The new system has a resolution of 14.5 miles, providing twice the precision and managing four times the data of the previous system.
数量效益
  • CDFS II can now create a 60-hour forecast every 6 hours, compared to the previous system's 48-hour forecast.
  • CDFS II auto-generates a 12-hour forecast every hour, an improvement from the previous system's on-request nine-hour forecast.
  • The new system has a resolution of 14.5 miles, providing twice the precision of the previous system's 29 miles resolution.

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