Intelligent alarm monitoring and management of complex industrial facilities

该联盟赠款项目旨在开发、评估和应用先进的解决方案和工具，以帮助工业工厂操作员在异常情况下做出决策，从而提高工厂的安全运营。在工业设施的运营中，为可持续的环境、健康和安全(EH&S)绩效和企业社会责任制定工厂运营战略变得越来越重要。这样的EH&S目标也可以带来巨大的经济效益，因为异常情况下每年因计划外停机、设备损坏和操作故障而造成的行业损失高达数十亿美元。为了确保工业装置令人满意的运行，并满足质量、效率和EH&S性能的预期措施，通过报警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，这是至关重要的。这种操作员决策支持系统有两个主要功能：故障检测与诊断和警报管理与监测，对实用和可实施的高级智能解决方案有着强烈的需求。该建议采用量化数据驱动的方法，基于历史过程数据和警报和事件日志，概述了复杂工业系统高级智能解决方案和工具开发的一些新研究领域，从故障检测和诊断、在线警报洪水监测、操作员行为分析、多变量警报系统和早期根本原因诊断。计划对新成果进行工业验证，并在参与伙伴的设施上实施。将开发的解决方案和工具有可能改善合作伙伴以及加拿大各工业部门的运营、安全、生产和成本绩效。

This alliance grant project is to develop, evaluate, and apply advanced solutions and 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 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 system 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 diagnosis, and alarm management and monitoring, for which there exist strong needs for advanced and intelligent solutions which are practical and implementable.Adopting a quantitative data-driven approach, based on historical process data, and alarm and event logs, this proposal outlines a number of new research areas for advanced and intelligent solutions and tool development for complex industrial systems, ranging from fault detection and diagnosis, online alarm flood monitoring, operator action analysis, multivariable alarm systems, and early root cause diagnosis. The new results are planned to be industrially validated and implemented on facilities of participating partners. The solutions and tools to be developed have the potential for improving operations, safety, production and cost performance for the partners, as well as various Canadian industrial sectors in general.