Grant: Collaborative Research and Development Grants
University of Alberta
$108,400.00
Abnormal situation monitoring and management of complex industrial facilities
EF 2015-16
Résumé
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.
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
446412-2012
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
2015
Competition year année de concours
2012
Award amount
108400
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
141
Committee name en
University/Industry
Committee name fr
Universités/industrie
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
Partie
3
Nb partie
3
Application title
Abnormal situation monitoring and management of complex industrial facilities
Keyword
NSERC
Application summary
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.