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首页> 外文会议>Proceedings of the 2005 workshop on End-to-end, sense-and-respond systems, applications and services >Reducing business surprises through proactive, real-time sensing and alert management
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Reducing business surprises through proactive, real-time sensing and alert management

机译：通过主动的实时感应和警报管理减少业务意外

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摘要

OEMs need to transform the way they do business in order to ensure better quality of products and services. Crucial failure symptom information is lost between the end consumers of products and the manufacturers. Manufacturers have access to this information but are typically unable to handle its volume in a timely fashion. However, using this data properly can result in diminished labor time in issue resolution, decreased warranty costs for manufacturers and improved customer retention. In this paper, we present a novel system for Proactive Real-Time Event and Alert Processing, which enhances an enterprise's ability to monitor, analyze and detect critical business events and situations. This capability can help improve operational efficiencies, reduce costs, streamline processing of business alerts, and enable the enterprise to react in a more timely fashion. The system can enable monitoring of near real-time, low-level, industrial sensor and controller events, and high-level events from underlying structured and semi-structured data. The alert system uses domain knowledge to enable processing the events in real-time, performing the appropriate analytics and evaluation on the events and alerting the right set of users. The alert and event processing system has been deployed and validated in real pilots with industry specific data. We are currently validating the scalability and performance of the alert system with many different information sources and high volume sensor information.
机译：OEM必须改变其经营方式，以确保更好的产品和服务质量。重要的故障征兆信息在产品的最终用户和制造商之间丢失。制造商可以访问此信息，但通常无法及时处理它的数量。但是，正确使用此数据可能会减少解决问题的劳动时间，减少制造商的保修成本并提高客户保留率。在本文中，我们提出了一种用于主动实时事件和警报处理的新颖系统，该系统增强了企业监视，分析和检测关键业务事件和情况的能力。此功能可以帮助提高运营效率，降低成本，简化业务警报处理，并使企业能够更及时地做出响应。该系统可以从基础结构化和半结构化数据中监视近实时，低水平，工业传感器和控制器事件以及高水平事件。警报系统使用领域知识来实时处理事件，对事件执行适当的分析和评估并向正确的用户组发出警报。警报和事件处理系统已经在实际试点中使用行业特定的数据进行了部署和验证。我们目前正在通过许多不同的信息源和大量传感器信息来验证警报系统的可扩展性和性能。

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