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Secure remote access for digital automation systems

Secure remote access for digital automation systems
数字自动化系统的安全远程访问
批准号:
64434
负责人:
金额:
$6.37万
依托单位:
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --

项目摘要

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中文摘要
翻译
先进的数字自动化系统可以在提高生产率、改善资源利用效率和降低环境排放方面为工业制造商提供有据可查的好处。为了维持这些好处,自动化系统需要支持和维护。通常,这种支持依赖于对系统的物理访问,通常由需要出差到工业现场的经验丰富的工程师提供。远程访问有可能显著提高支持工程师的工作效率,从而提高制造现场的绩效。通过消除到偏远地区出差的需要,支持公司和拥有集中工程团队的跨国运营商可以减少对环境的影响,提高生产率和效率,并增加员工的包容性。然而,与物理隔离的控制系统域相比,提供对工业控制系统的远程访问会带来相关的风险。该项目将生成安全远程访问的参考架构。然后,它将对这一体系结构进行详细和严格的风险评估。目标是为制造过程的操作员提供适当的参考设计,以正确配置其系统体系结构和程序,并指导如何评估和减轻与其自身安装相关的风险。
英文摘要
Advanced digital automation systems can provide well documented benefits to industrial manufacturers in terms of increased productivity, improved resource use efficiency and lower environmental emissions. In order to sustain these benefits the automation systems require support and maintenance. Typically, this support relies on physical access to the systems, often provided by experienced engineers who need to travel to the industrial site.Remote access has the potential to increase significantly the productivity of support engineers and as a result enhance the performance of the manufacturing sites. By eliminating the need for travel to remote locations, support companies and multi-national operators with centralised engineering groups can reduce their environmental impact, increase productivity and effectiveness and increase employee inclusivity. This benefit is amplified significantly by the Covid-19 pandemic.However, providing remote access to industrial control systems brings associated risk compared with a physically isolated control system domain. This project will generate a reference architecture for secure remote access. It will then subject this architecture to a detailed and rigorous risk assessment.The goal is to provide an appropriate reference design for the operators of manufacturing processes to properly configure their systems architectures and procedures as well as guidance on how to assess and mitigate the risk associated with their own installations.
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Identification and quantification of primary phytoplankton functional types in the global oceans from hyperspectral ocean color remote sensing
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    160万元
  • 批准年份:
    2022
  • 负责人:
    李忠平
  • 依托单位:
低纬度边缘海颗粒有机碳的卫星遥感算法研究
  • 批准号:
    41076114
  • 项目类别:
    面上项目
  • 资助金额:
    54.0万元
  • 批准年份:
    2010
  • 负责人:
    王海黎
  • 依托单位: