Event Detection Platform (using pattern matching analytics)

事件检测平台（使用模式匹配分析）

• 批准号: 720636
• 金额: $ 18.4万
• 依托单位: CYBULA LIMITED
• 依托单位国家: 英国
• 项目类别: GRD Development of Prototype
• 财政年份: 2015
• 资助国家: 英国
• 起止时间: 2015 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=720636
• 关键词: Event; Detection; Platform; using; pattern

This 18 month project aims to build a pre-commercial demonstrator consisting of an ITplatform which is capable of deploying Cybula’s event detection methods to monitor thebehaviour of complex assets (machines, engines, infrastructure and with medical applications,people). These methods use novel pattern matching techniques on multi-variate, time-seriesdata; software analytics that are very much in demand as many organisations are swampedwith the flow of monitored asset data and they lack the tools to interact with the data. Thefundamental questions which these analytics help to answer are (i) is the asset operating asexpected? (ii) if there is an abnormality, has this event occurred in the past? (iii) what can belearnt from previous events and finally (iv) what time do we have before action is required?Cybula’s Signal Data Explorer, a benchtop software package, can be used by specialists tobrowse large volumes of multi-variate data before building abnormality models or eventsignatures and then validating them on archived data. This testing environment has attractedthe involvement of several ‘blue-chip’ companies across several market applications(aerospace, rail, energy generation, oil & gas production and critical-care medicine) andCybula continues to invest in new features.This demonstrator will allow these models and event signatures to be imported as workflowsfrom Signal Data Explorer and deployed on continuously streamed asset data. The user willbe able to structure their asset data and attach input parameters to feed the different models.A visualisation module will enable the user to configure screen displays to visualise detectedabnormalities or events over time. The project anticipates the demonstration platform to becapable of handling large scale asset monitoring problems involving thousands of monitoredvariables and up to 100 detection models running simultaneously.

这个为期 18 个月的项目旨在构建一个由 IT 平台组成的预商业演示程序，该平台能够部署 Cybula 的事件检测方法来监控复杂资产（机器、引擎、基础设施和医疗应用程序、人员）的行为。这些方法使用新颖的方法。多变量、时间序列数据的模式匹配技术非常受欢迎，因为许多组织都淹没在受监控的资产数据流中，并且缺乏与数据交互的工具；这些分析有助于回答的基本问题是（i）资产是否按预期运行？（ii）如果存在异常，该事件过去是否发生过？（iii）从之前的事件中可以学到什么？ (iv) 在需要采取行动之前我们还有什么时间？Cybula 的 Signal Data Explorer 是一个台式软件包，专家可以使用它来浏览大量多变量数据，然后构建异常模型或事件签名并对其进行验证该测试环境吸引了多个市场应用（航空航天、铁路、能源发电、石油和天然气生产以及重症医学）的多家“蓝筹”公司的参与，并且 Cybula 继续投资于新功能。该演示器将允许将这些模型和事件签名作为工作流程从 Signal Data Explorer 导入，并部署在连续流式传输的资产数据上。用户将能够构建其资产数据并附加输入参数以提供不同的模型。用户至配置屏幕显示以可视化随时间检测到的异常或事件。该项目预计演示平台能够处理涉及数千个监控变量和最多 100 个同时运行的检测模型的大规模资产监控问题。