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International Virtual Conference on NDE 4.0 – 2021
1 License: https://creativecommons.org/licenses/by-nd/4.0/
A Concept of Digital Platform for NDE4.0
Makoto OCHIAI 1, Setsu YAMAMOTO 1 1 Toshiba Energy Systems and Solutions Corporation, Yokohama, Japan
Contact e-mail: mak.ochiai@toshiba.co.jp
Abstract
Toshiba is a plant manufacturer of energy and social infrastructure systems, as well
as a service vendor involved in the operation and maintenance of operating plants. Regarding
non-destructive testing (NDT), we not only provide inspection services for manufacturing
and maintenance but also have long been developing and applying lots of special inspection
systems in-house.
Recently, we are focusing on digitalization of NDT data and also increasing values
by linking and utilizing data using our digital platform. We consider NDT digitalization in 3
phases, those are: I. Fundamental digitization, II. Vertical integration of NDT data to improve
NDT performance and III. Horizontal integration to create new solutions. In Phase I, not only
digitization of flaw detection data but also NDT system information, inspector information
and document digitization are included. These are integrated with advanced digital
technologies such as local-5G communication and AR / VR. In Phase II, various NDT data
are linked and utilized. For example, by sharing NDT data across inspection personnel, NDT
systems, production lines and test subjects via the digital platform, it will enhance the
performances of AI and deep learning for NDT and improve the quality of NDT results. In
Phase III, data is linked through the supply chain, not limited to NDT field. By integrating
NDT data with a wide variety of data such as pre-manufacturing processes of test subjects or
operation history of the asset after in-service, new solutions for asset management such as
lifetime prediction, operation planning, inspection / renewal planning, etc. will be created.
In this presentation, we will introduce some practical examples of Toshiba's activities
on this fields and propose a concept for future international cooperation and discussion.
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© Toshiba Energy Systems & Solutions Corporation 2021 1
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A Concept of Digital Platform for NDE4.0
Makoto Ochiai and Setsu YamamotoEnergy Systems R&D CenterToshiba Energy Systems & Solutions CorporationYokohama, Japan 2021.04.15
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Takeaways
You will understand:
What we expect for NDE4.0.
How we deal with the NDT data and feed the data into various services.
Three types of data sources generating physical data (IoT), engineering data (IoS) and expertʼs concerns (IoP) accordingly.
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Toshiba’s Concept for NDE4.0
� World advanced techniques of plant and system control, AI and signal processing
� TOSHIBA SPINEX: Industrial digital service based on Toshiba IoT Reference Architecture (TIRA)
Long and rich experiences of design, manufacture, O&M of plants, systems and equipment.
×Advanced practical NDE techniques
Phased Array UT, Laser UT, Array ECT, Color I.I. etc...
Strength in CYBERStrength in PHYSICAL
Effectively use of NDT data for physical safety and security, Fedback valuable solutions using digital technologies to physical region
Robot UT for narrow partAuto positioning ECT
Solution
http://www.toshiba.co.jp/about/ir/en/pr/pdf/tpr20201203_2e.pdf?_ga=2.38421283.120314072.1615452436-953523302.1615452436
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Major Scope of Data Linkage and Usage
Asset Owner
Physical
ProcuremeProcuremeProcurementDesign/Engineering
ManufacturingLogistics/Construction
ProcurementProcurement
Cyber
Virtual ProductDigital Twin
Digital Platform
IoTIoT
IoTIoT
IoP
(O&M)(Asset Plan)
Digital Platform is a tool to make data- Accessable - Visualizable (Searchable)- Traceable - Available
+Physical model
New/Additional Values
Owner/ VendorMulti Vendor
linkage
General Industry4.0
“Vendor in house”
Quality and EfficiencyImprovement
Other Companies,Systems and
Infrastructures
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NDE4.0・・・ Phase 0: IoT/ICT Aided NDE
� Inspection, Sensing
� Robotics
AcquisitionEdge Intelligence
� Local 5G
� QKD
� Cloud Comp.
� Mobile Devices
� AR/VR
DigitizationConnected Devices,Network & Storage
Big Data Analysis
Transformation
Automation & 5G Connection
5G Network
- Manufacturing Line- Remote Access
https://www.toshiba-clip.com/detail/p=272
Weld
Scan
Camera Probe UnitStereoScope
NDE data
AR / VR application for Enhancement ofInspector’s Skill
VirtualObjects
Check List
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NDE4.0・・・Phase I: Digitization of NDE
� HPC
� AI, ML, DL
� 1DCAE
� Simulation
� POD
EvaluationBig Data Analysis
UT Aided by Numerical Simulation Automated Defect Detection Using AI Algorithms
Training Data
OriginalPAUT Images
Defect
CNN
TrainingDefect
� Inspection, Sensing
� Robotics
AcquisitionEdge Intelligence
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NDE4.0・・・Phase II: Vertical integration of NDE data
� Local 5G
� QKD
� Cloud Comp.
� Mobile Devices
� AR/VR
� HPC
� AI, ML, DL
� 1DCAE
� Simulation
� POD
� Inspection, Sensing
� Robotics
Acquisition Evaluation
Digitization
Stand alone NDI (Digitization)
General IoT/ICT(Digitization)
Edge Intelligence Big Data Analysis
Connected Devices,Network & Storage
Acquisition
Digitization
� U/I
� Modeling
� Digital Twin
� CPS
TransformationPlatform
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NDE4.0・・・Phase II: Vertical Integration of NDE data
InspectionData
RevisedAlgorism
Before
InspectionData
InspectionData
RevisedAlgorism
RevisedAlgorism
AI/ML, DLAnalysis Engine
AI/ML, DLAnalysis Engine
AI/ML, DLAnalysis Engine
AI/ML, DLAnalysis Engine
After
InspectionData
RevisedAlgorism
InspectionData
InspectionData
RevisedAlgorism
RevisedAlgorism
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Solution・Diagnosis & Lifetime prediction・Operation Optimization・Maintenance & Renewal Plan・Automation・OPEX/CAPEX Optimization・Resilience Evaluation
NDE4.0(Digitalization)
� Platform
� Modeling
� Digital Twin
� CPS
Transformation
NDE4.0・・・Phase III: Horizontal Integration of NDE data
� Local 5G
� QKD
� Cloud Comp.
� Mobile Devices
� AR/VR
� HPC
� AI, ML, DL
� 1DCAE
� Simulation
� POD
� Inspection, Sensing
� Robotics
Acquisition Evaluation
Digitization
Conventional NDI(Digitization)
General IoT/ICT(Digitization)
Edge Intelligence Big Data Analysis
Connected Devices,Network & Storage
� U/I
� Modeling
� Digital Twin
� CPS
TransformationPlatform
・Material Data・Design Data・Manufacturing Data・Field Data・Operation Data
SoSsNon-NDE Data
(Expert Concern)
© Toshiba Energy Systems & Solutions Corporation 2021 10
HN-2021-0873 Cyber Physical System (CPS) for NDE DigitalizationTOSHIBA SPINEX for Energy
Optimization, Planning
Analysis, Prediction
Recognition, Understanding
Sensing
Control
Physical Object
Cyber Platform
ObjectInformation
Model
モヤモヤ
Environment ?Operation History ?
Design, Material,Test data
KnowledgeExperience
Know-How
Human Concern
Visualize
Access
ConcernInformation
Model
AI Logic
Dashboard
Statistical Processing
DB DB
DB
Social SystemConnection
by SoS
IoT
IoP IoS
IoS
IoT
IoP
<Expert>
<Operator>
IoS
IoT
IoP
Diagnosis, Detection
Simulation
Data Search
Traceability
Security
Common SaaS Micro Services
Configuration Management, RDS-PP List…
Pump Operation Monitoring
Photo
Alarm
CharacteristicCurve
Graph
Pump Class
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HN-2021-0873 Practical Application of SPINEX to NDE:Piping Thinning Management System
Sensing
Control
Physical Object
Cyber PlatformHuman Concern
Visualize
Access
DB DB
DB
IoT
IoP IoS
IoS
IoT
IoP
Similar Part Search
Traceability
Security
Configuration Management, RDS-PP List…
モヤモヤ
Temperature︖Flow Rate ?
Layout︖
Weld, Treatment ?
Dashboard
<Expert>
<Operator>
Materials ?
EvaluationEvaluation
O&M PlanningO&M Planning
LifetimeLifetime
Leakage Risk Leakage Risk
Optimization
System Menu
Part Search
Piping Thickness (History)
Measurement Point Data
Piping & Instrumentation Design
Isometric Diagram
Thinning Prediction
AdvancedThinning PredictionModel
Piping
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Practical Application of SPINEX to NDE: Storage Drum Inspection System
Sensing
Control
Physical Object
Cyber PlatformHuman Concern
Visualize
Access
DB DB
DB
IoT
IoP IoS
IoS
IoT
IoP
Similar Part Search
Traceability
Security
Configuration Management, RDS-PP List…
Optimization
モヤモヤ
Type, Kind?
Leakage ?Contamination ?
Defor-mation ?
Flaw ?Corrosion ?
<Expert>
<Operator>
Repair History ?
Dashboard
Storage Drums
Sensing Data・Camera Image, Spectral Image and Thermography...
Inspection DataFlaw, Corrosion, Leakage + History
Self-training predictive
model
Anomaly
Normal
Repair NecessityConfirmation Accordingto Internal Contents
Target Information・Manufacturing Date・Environment (Temperature, Humidity...)・Design Data (Thickness, Paint...)
Anomaly Judgment
EvaluationEvaluation
O&M PlanningO&M Planning
LifetimeLifetime
Leakage Risk Leakage Risk https://www.photo-ac.com/main/search?q=%E3%83%89%E3%83%A9%E3%83%A0%E7%BC%B6&srt=dlrank&qt=&pp=70&p=1&pt=B
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HN-2021-0873 Practical Application of SPINEX to NDE: Structural Integrity Assessment System
Sensing
Control
Physical Object
Cyber PlatformHuman Concern
Visualize
Access
DB DB
DB
IoT
IoP IoS
IoS
IoT
IoP
Similar Part Search
Traceability
Security
Configuration Management, RDS-PP List…
EvaluationEvaluation
O&M PlanningO&M Planning
LifetimeLifetime
Availability FactorAvailability Factor
Optimization
モヤモヤ
Repair History ?
CorrosiveEnvironment ?
Design ?
Materials ?
<Expert>
<Operator>
DashboardWeld, Treatment ?
BWR Core Shroud
Crack Position
Cra
ck D
ep
th
Inspection DataDepth, Length, Position, Distribution + History
InspectionHistory
Crack Front
Material AMaterial B
MaterialC
Crack Growth Property: B > C > A
-Material DataReflection of Crack Growth Property
Conv.Analysis
FailureJudgement
Failure Criteria
Advanced FEA
Inspection + Advanced FEA
-Operation dataHistory, Environment
-Design DataActual Stress
Distribution Analysis
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Prerequisites of NDE4.0 Implementation – My Opinion –
A major premise : the data belongs to the owner.
Thorough “opt-in” (Only the owner should decide which service the data will be used for.).
Designing systems and rules based on win-win-win basis.
Building a new transparent (public) governance system.
Realize cooperation of various services including existing ones by external service bus and API instead of building a large and new integrated system.
Distributed data should be reconstructed with “Concern” and “Object”.
For these purposes, establish a minimum standard through international cooperation.
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Conclusion – My Opinion –
NDE is originally a data-oriented technology and has a high affinity with “Digitalization.”
One of the essence of “Digitalization” is the sharing and mutual-use of data. For this purpose, companies, industries and international cooperation are important.
A few people (but always a few) may argue that NDT is a “Non-Value Added (NVA)” process. The truly digitalized NDE should lead beneficial solutions and transform one from “NVA” process to “Value Added (VA)” process.
The win-win-win relationship between the three parties (asset owner, service provider and data supplier) is important. In order to realize the practical and realistic solution, it is also essential to involve three parties in the discussion and cooperation at a system design phase (NOW!).
On the other hand, NDE4.0 may change the conventional values on NDT we felt; that is, the recognition of the importance for a certified skilled inspector and standardized and authorized methods/equipment.
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