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Abnormal situation monitoring and management of complex industrial facilities

Abnormal situation monitoring and management of complex industrial facilities
复杂工业设施异常情况监测与管理
批准号:
446412-2012
负责人:
Chen, Tongwen
金额:
$7.9万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31

项目摘要

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中文摘要
翻译
该合作研究和开发项目旨在开发、评估和应用先进的工具,以帮助工业工厂运营商在异常情况下做出决策,从而提高工厂的安全运营。 在运营工业设施时,制定工厂运营和管理战略以实现可持续的环境、健康和安全(EH&S)绩效和企业社会责任变得越来越重要。这些EH&S目标还可以带来巨大的经济效益,因为由于计划外停机、设备损坏和操作故障,异常情况每年在行业中造成数十亿美元的损失。为了确保工业工厂的良好运行,并满足质量、效率和EH&S性能的预期措施,通过警报系统及时通知操作员工厂中的任何故障和异常情况,以便采取适当的补救措施,这一点至关重要。这样的操作员决策支持系统具有两个主要功能,故障检测和识别,以及报警管理和监视,对于这两个功能存在对实用解决方案的强烈需求。 采用数据驱动的方法,基于历史过程数据和报警日志,该提案概述了一些新的研究领域,为复杂的工业系统,从故障检测和诊断,报警洪水挖掘和监控,基于状态的报警配置和设计,控制和报警性能的相互作用的先进工具的开发。新的成果计划进行工业验证和森科尔和Syncrude设施实施。有待开发的工具有可能提高操作安全性,从而降低参与伙伴以及加拿大各工业部门的维护费用。
英文摘要
This collaborative research and development project is to develop, evaluate, and apply advanced tools for assisting industrial plant operators in their decisions on abnormal situations, and therefore enhance safe plant operations. In operating industrial facilities, it is becoming increasingly important to develop plant operation and management strategies for sustainable Environmental, Health, and Safety (EH&S) performance and corporate social responsibility. Such EH&S targets can also lead to enormous economic benefits since abnormal situations cost billions of dollars annually in industry due to unplanned shutdowns, equipment damages, and operation failures. To ensure satisfactory operation of an industrial plant and to meet desired measures of quality, efficiency and EH&S performance, it is of paramount importance that operators be informed promptly via the alarm systems of any faults and abnormal situations in the plant so that appropriate remedies can be applied. Such an operator decision support system has two main functions, fault detection and identification, and alarm management and monitoring, for which there exist strong needs for practical solutions. Adopting a data driven approach, based on historical process data and alarm logs, this proposal outlines a number of new research areas for advanced tool development for complex industrial systems, ranging from fault detection and diagnosis, alarm flood mining and monitoring, state based alarm configuration and design, to control and alarm performance interplay. The new ressults are planned to be industrially validated and implemented on Suncor and Syncrude facilities. The tools to be developed have the potential for improving safety in operation and therefore reducing the maintenance costs for the participating partners, as well as various Canadian industrial sectors in general.
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Intelligent Monitoring and Control
  • 批准号:
    CRC-2017-00317
  • 项目类别:
    Canada Research Chairs
  • 资助金额:
    $14.57万
  • 财政年份:
    2022
  • 负责人:
    Chen, Tongwen
  • 依托单位:
Time and Event Driven Control Systems
  • 批准号:
    RGPIN-2018-05124
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $13.26万
  • 财政年份:
    2022
  • 负责人:
    Chen, Tongwen
  • 依托单位:
Intelligent Monitoring And Control
  • 批准号:
    CRC-2017-00317
  • 项目类别:
    Canada Research Chairs
  • 资助金额:
    $14.57万
  • 财政年份:
    2021
  • 负责人:
    Chen, Tongwen
  • 依托单位:
Time and Event Driven Control Systems
  • 批准号:
    RGPIN-2018-05124
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $6.63万
  • 财政年份:
    2021
  • 负责人:
    Chen, Tongwen
  • 依托单位:
海外基金