A People Centred Approach to Intelligent, Proactive, Predictive (PCIPP) Asset Management using Remote Condition Monitoring Data

PCIPP(以人为中心的智能、主动、预测性资产管理方法)将推动先进的企业级(任何资产类型、任何传感器类型、任何制造商)、企业级(稳健、灵活、用户友好、可扩展、面向未来的)智能资产管理解决方案，超越传统的远程状态监测(RCM)和现有系统。PCIPP将消除资产管理公司维护多个垂直集成的RCM系统的需要，通过为所有资产提供通用界面来减少用户培训需求，并通过融合和关联多个资产和遗留系统中的数据以创建可操作的预测信息来释放真正智能的潜力。PCIPP建立在泰利斯在其智能基础设施计划中为Network Rail提供的非常成功的解决方案之上，该计划监控超过22,000个资产，自2009年上线以来已经消除了15,000个现场访问的需要。PCIPP是围绕以人为中心的设计过程构建的，使用世界公认的人为因素专家的能力，确保操作员能够访问相关信息，尽管PCIPP中可用的数据量不断增加。PCIPP的开放式架构将使生态系统得以发展，该生态系统将扩大覆盖的资产范围；整合列车、轨道和车站数据；整合到维护系统；大幅提高诊断和预测能力，并培育纳入第三方分析模块的新市场。

PCIPP (A People Centred Approach to Intelligent, Proactive, Predictive Asset Management) will advance a state-of-the-art Enterprise Wide (Any asset type, Any sensor type, Any Manufacturer), Enterprise Class (Robust, Flexible, User Friendly, Scalable, Future Proof) solution for intelligent asset management that goes beyond conventional Remote Condition Monitoring (RCM) and existing systems. PCIPP will eliminate the need for asset managers to maintain multiple vertically integrated RCM systems, reduce user training needs by providing a common interface for all assets and unlock the potential of true intelligence by fusing and correlating data across multiple assets and legacy systems to create actionable, prognostic information. PCIPP builds on the highly successful solution Thales provides to Network Rail in their Intelligent Infrastructure programme which monitors over 22,000 assets and has removed the need for 15,000 site visits since it went live in 2009. PCIPP is structured around a human-centric design process, using capabilities from world-recognised human factors experts, ensuring that operators have access to relevant information, despite the increasing amount of data available within PCIPP. PCIPP’s open architecture will enable an ecosystem to develop that will expand the range of assets covered; incorporate train, track and station data; integrate to maintenance systems; substantially increase diagnosis and prognosis capabilities and nurture a new market for the incorporation of 3rd party analytics modules.