Grant: Collaborative Research and Development Grants
University of Alberta
$313,600.00
Advanced solutions for efficient alarm monitoring and management of complex industrial facilities
EF 2020-21
Résumé
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.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
494073-2016
Name nom
Chen, Tongwen
Department département
Electrical and Computer Engineering
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2016
Award amount
313600
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
301
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Oil, gas and coal
Area of application fr
Pétrole, gaz et charbon
Research subject code
2514
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Digital signal processing
Research subject fr
Traitement des signaux numériques
Installment
inst:4 - 6
Partie
3
Nb partie
6
Application title
Advanced solutions for efficient alarm monitoring and management of complex industrial facilities
Keyword
NSERC
Application summary
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.