Advanced solutions for efficient alarm monitoring and management of complex industrial facilities

用于复杂工业设施的高效报警监控和管理的先进解决方案

• 批准号: 494073-2016
• 负责人: Chen, Tongwen
• 金额: $ 11.42万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=693884
• 关键词: Advanced; solutions; efficient; alarm; monitoring

This collaborative research and development 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 practical solutions.Adopting a data driven approach, based on historical process data, and alarm and event logs, this proposal outlines a number of new research areas for advanced solutions and tool development for complex industrial systems, ranging from fault detection and diagnosis, online alarm flood monitoring, operator action analysis, multivariable alarm systems, to pipeline leak detection and localization. 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.

本项目旨在开发、评估和应用先进的解决方案和工具，以帮助工业设备运营商在异常情况下做出决策，从而提高工厂的安全运营。在工业设备运营中，制定可持续的环境、健康和安全（EH&S）绩效和企业社会责任的工厂运营策略变得越来越重要。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，这一点至关重要。这种操作员决策支持系统有两个主要功能，故障检测和诊断，以及报警管理和监控，这对先进的实用解决方案存在强烈的需求。该建议采用数据驱动的方法，基于历史过程数据，报警和事件日志，概述了复杂工业系统先进解决方案和工具开发的一些新的研究领域，范围从故障检测和诊断、在线报警洪水监测、操作员行为分析、多变量报警系统到管道泄漏检测和定位。新成果计划在参与伙伴的设施上进行工业验证和实施。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、生产和成本效益。