SCI-FI: SCalable, Intelligent condition monitoring for Foundation Industries
SCI-FI: SCalable, Intelligent condition monitoring for Foundation Industries
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 --
中文摘要
国内基础工业的适当维护对一切至关重要:生产率、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,以及最近新冠肺炎的影响,管理团队被迫做出降低成本的艰难决定。这导致维护预算大幅削减,而维护预算往往被纯粹视为成本,而不是投资。这导致了裁员、取消第三方维护合同和维护不足的机器,这对生产率、能源和资源效率造成了不可避免的后果。迫切需要自动化的状况监控系统,以帮助维护团队用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。他们应该帮助他们优化机器性能,避免计划外停机,并了解故障的根本原因。科幻项目是关于采用一种经济高效的方法来实现自动状态监测(CM)和预测(PDM),该方法已在汽车行业得到验证,专门为金属(TATA)和纸张(SMurfit-Kappa)制造的需求而开发。它包括采用为汽车中常见的离散、独立机器类型开发的技术、算法和用户界面,并使其适用于基础工业中占主导地位的耦合机器和工艺。该系统将通过更有效和更有效的维护策略,通过降低资本支出和运营成本,帮助国内基础工业制造商变得更具竞争力。
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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