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Grant: Alliance Grants

University of Ontario Institute of Technology

$30,000.00

Structural Smart Sensors for LIVE Digital Twins of pipelines in Power Generation and Oil and Gas Industries (3S for LIVE Digital Twins)_x000d_ _x000d_ _x000d_ _x000d_

EF 2020-21

Résumé
Failure of some structural assets such as the pipeline structures in oil and gas or power generation industries can be extremely expensive, hazardous, and dangerous to the environment. It is highly desired to have an accurate and reliable maintenance plan to avoid the failure. The goal of this project is to develop a diagnostic sensor for on-line smart measurements in various health monitoring- related parameters of a working structure, particularly the pipelines in oil and gas or power generation industries. This sensor is referred as Structural Smart Sensors (3S) here due to their capabilities in (i) producing high quality information from a significant volume of their collected raw data, (ii) communicating to other machines and in an Internet of Things (IoT) platform, (iii) adjusting their inspection frequency, transmission scheduling, and processing parameters, smartly using the information they produce themselves. 3S can be used directly in a LIVE Digital Twin (DT) platform with the characteristics described in this proposal. 3S specifically collects the vibrational data of the structural system, processes the data to produce the information regarding the health of the system, and determines the failure probabilities according to the predefined models in the LIVE digital twin system. It is highly beneficial for DT applications when a myriad number of sensors need to collect high volume of raw data which are almost impossible to be transmitted dynamically over the years of service. The described smart sensor is a cyber-physical micro-system with a combination of physical sensing mechanism and cyber component to process the collected data based on the validated predefined models. It dynamically completes on-site processing using the abstract simulation formula and produces high quality data which results in low processing cost in term of computational time and transmission frequency. Considering the requirements of the 4th industrial revolution and the significant needs of industries to move toward digitalization, and intelligence of machines, 3S will be vitally needed in a very near future and having this technology available in Canada will increase Canada's competency in the international markets.
Programme
Alliance Grants
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
560757-2020
Name nom
Barari, Ahmad
Department département
Automotive, Mechanical and Manufacturing Engineering
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2020
Award amount
30000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
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
2109
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Mechanical systems and instrumentation
Research subject fr
Instrumentation et systèmes mécaniques
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Structural Smart Sensors for LIVE Digital Twins of pipelines in Power Generation and Oil and Gas Industries (3S for LIVE Digital Twins)_x000d_ _x000d_ _x000d_ _x000d_
Keyword
NSERC
Application summary
Failure of some structural assets such as the pipeline structures in oil and gas or power generation industries can be extremely expensive, hazardous, and dangerous to the environment. It is highly desired to have an accurate and reliable maintenance plan to avoid the failure. The goal of this project is to develop a diagnostic sensor for on-line smart measurements in various health monitoring- related parameters of a working structure, particularly the pipelines in oil and gas or power generation industries. This sensor is referred as Structural Smart Sensors (3S) here due to their capabilities in (i) producing high quality information from a significant volume of their collected raw data, (ii) communicating to other machines and in an Internet of Things (IoT) platform, (iii) adjusting their inspection frequency, transmission scheduling, and processing parameters, smartly using the information they produce themselves. 3S can be used directly in a LIVE Digital Twin (DT) platform with the characteristics described in this proposal. 3S specifically collects the vibrational data of the structural system, processes the data to produce the information regarding the health of the system, and determines the failure probabilities according to the predefined models in the LIVE digital twin system. It is highly beneficial for DT applications when a myriad number of sensors need to collect high volume of raw data which are almost impossible to be transmitted dynamically over the years of service. The described smart sensor is a cyber-physical micro-system with a combination of physical sensing mechanism and cyber component to process the collected data based on the validated predefined models. It dynamically completes on-site processing using the abstract simulation formula and produces high quality data which results in low processing cost in term of computational time and transmission frequency. Considering the requirements of the 4th industrial revolution and the significant needs of industries to move toward digitalization, and intelligence of machines, 3S will be vitally needed in a very near future and having this technology available in Canada will increase Canada's competency in the international markets.