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SCI-FI: SCalable, Intelligent condition monitoring for Foundation Industries

SCI-FI: SCalable, Intelligent condition monitoring for Foundation Industries
SCI-FI:基础工业的可扩展、智能状态监测
批准号:
94008
负责人:
金额:
$32.25万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --

项目摘要

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中文摘要
翻译
在国内基础工业中,适当的维护对于所有重要的事情都至关重要:生产力,产品质量,可靠的交付和安全的工作环境。然而,为了应对全球竞争的需求,以及最近COVID-19的影响,管理团队被迫做出艰难的决定以降低成本。这导致维护预算大幅削减,而这些预算通常被视为纯粹的成本而不是投资。这导致了员工的减少、第三方维护合同的取消以及机器维护不足,从而不可避免地影响了生产力以及能源和资源效率。迫切需要自动化状态监控系统,帮助维护团队以更少的资源保持其效率。这样的系统应该扩展维护团队的专业知识,使他们能够用更少的人管理更多的机器。SCI-FI项目旨在采用一种具有成本效益的方法来实现自动化状态监测(CM)和故障诊断(PdM),该方法已在汽车行业得到验证,专为金属(塔塔)和造纸(Smurfit-Kappa)制造业的需求而开发。该系统将为汽车行业中常见的离散、独立机器开发的技术、算法和用户界面应用于基础工业中占主导地位的耦合机器和流程。该系统将通过更高效和更有效的维护策略降低CAPEX和OPEX支出,从而帮助国内基础工业制造商提高竞争力。
英文摘要
Proper maintenance in domestic Foundation Industries is crucial for everything that matters: productivity, product quality, reliable deliveries and safe working environments. However, in responding to the demands of global competitions, and more recently the effects of COVID-19, management teams have been forced to make difficult decisions to reduce costs.This has resulted in significant cuts to maintenance budgets, which are often seen purely as costs rather than investments. This has resulted in staff reductions, cancellation of third-party maintenance contracts and under-maintained machines with the inevitable consequences for productivity and energy and resource efficiency.There is a pressing need for automated condition monitoring systems that help maintenance teams sustain their effectiveness with fewer resources. Such systems should scale the expertise of the maintenance team, allowing them to manage more machines with fewer people. They should help them optimise machine performance, avoid unplanned downtime and understand the root causes of failures.The SCI-FI project is about adapting a cost-effective approach to automated condition monitoring (CM) and prognostics (PdM), that has been proven in the automotive sector, developed specifically for the needs of metal (Tata) and paper (Smurfit-Kappa) manufacturing. It involves taking techniques, algorithms and user interfaces that were developed for the kinds of discrete, standalone machines common in automotive and adapting them for the coupled machines and processes that predominate in Foundation Industries.This system would help manufacturers in domestic Foundation Industries become more competitive by reducing both CAPEX and OPEX expenditure through more efficient and more effective maintenance strategies.
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