A multiscale-multifunctional approach to advanced diagnosis and operator performance in complex process systems

复杂过程系统中先进诊断和操作员绩效的多尺度多功能方法

• 批准号: LP0776636
• 负责人: Prof Ian Cameron
• 金额: $ 25.02万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2008
• 资助国家: 澳大利亚
• 起止时间: 2008-09-01 至 2011-10-03
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0776636
• 关键词: multiscale; multifunctional; approach; advanced; diagnosis

Major process system failures and subsequent poor diagnosis continues to produce significant company disruption, environmental damage, injury and possible loss of life. The benefits of this work will be reduced impacts and risks. This work will provide a new integrated approach with structured tools and diagnostic designs for process industries. It should have direct impacts on company performance through improved diagnosis, more timely response and hence reduced likelihood of major accidents. It will help to improve overall risk management practice in the process industries with less impact on people, property and environment, thus improving operational performance. Local communities will be direct beneficiaries of these reduced risks.

主要的工艺系统故障和随后的不良诊断继续造成重大的公司中断、环境破坏、伤害和可能的生命损失。这项工作的好处是减少影响和风险。这项工作将提供一个新的集成方法与结构化的工具和诊断设计的过程工业。它应通过改进诊断、更及时的反应，从而减少重大事故的可能性，对公司业绩产生直接影响。这将有助于改善流程工业的整体风险管理实践，减少对人员、财产和环境的影响，从而提高运营绩效。当地社区将是这些风险降低的直接受益者。