FR3116342B1 - Procédé et dispositif électronique d'aide à la surveillance d’un élément de réacteur nucléaire, programme d’ordinateur et système associés - Google Patents

Procédé et dispositif électronique d'aide à la surveillance d’un élément de réacteur nucléaire, programme d’ordinateur et système associés Download PDF

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Publication number
FR3116342B1
FR3116342B1 FR2011882A FR2011882A FR3116342B1 FR 3116342 B1 FR3116342 B1 FR 3116342B1 FR 2011882 A FR2011882 A FR 2011882A FR 2011882 A FR2011882 A FR 2011882A FR 3116342 B1 FR3116342 B1 FR 3116342B1
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Prior art keywords
defect
assisting
monitoring
electronic device
nuclear reactor
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FR2011882A
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English (en)
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FR3116342A1 (fr
Inventor
Franck Grember
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Areva NP SAS
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Framatome SA
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Priority to FR2011882A priority Critical patent/FR3116342B1/fr
Priority to CN202180077096.XA priority patent/CN116457894A/zh
Priority to US18/037,560 priority patent/US20240006087A1/en
Priority to EP21815984.6A priority patent/EP4248464A1/fr
Priority to PCT/EP2021/082076 priority patent/WO2022106506A1/fr
Publication of FR3116342A1 publication Critical patent/FR3116342A1/fr
Application granted granted Critical
Publication of FR3116342B1 publication Critical patent/FR3116342B1/fr
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0004Industrial image inspection
    • G06T7/001Industrial image inspection using an image reference approach
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24133Distances to prototypes
    • G06F18/24137Distances to cluster centroïds
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • G06N3/0455Auto-encoder networks; Encoder-decoder networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/084Backpropagation, e.g. using gradient descent
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/088Non-supervised learning, e.g. competitive learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/0895Weakly supervised learning, e.g. semi-supervised or self-supervised learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • GPHYSICS
    • G21NUCLEAR PHYSICS; NUCLEAR ENGINEERING
    • G21DNUCLEAR POWER PLANT
    • G21D3/00Control of nuclear power plant
    • G21D3/001Computer implemented control
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20081Training; Learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection
    • G06T2207/30164Workpiece; Machine component
    • GPHYSICS
    • G21NUCLEAR PHYSICS; NUCLEAR ENGINEERING
    • G21CNUCLEAR REACTORS
    • G21C17/00Monitoring; Testing ; Maintaining
    • GPHYSICS
    • G21NUCLEAR PHYSICS; NUCLEAR ENGINEERING
    • G21CNUCLEAR REACTORS
    • G21C17/00Monitoring; Testing ; Maintaining
    • G21C17/08Structural combination of reactor core or moderator structure with viewing means, e.g. with television camera, periscope, window
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E30/00Energy generation of nuclear origin
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E30/00Energy generation of nuclear origin
    • Y02E30/30Nuclear fission reactors

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Quality & Reliability (AREA)
  • Plasma & Fusion (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Multimedia (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Monitoring And Testing Of Nuclear Reactors (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

Procédé et dispositif électronique d'aide à la surveillance d’un élément de réacteur nucléaire, programme d’ordinateur et système associés Ce procédé d'aide à la surveillance d’un élément de réacteur nucléaire, mis en œuvre par un dispositif électronique, comprend les étapes : - (120) entrainer un algorithme d'intelligence artificielle ; - (140) acquérir une image de l’élément ; - (150) estimer, à partir de l’image et via l’algorithme d'intelligence artificielle, une présence d’un défaut de l’élément ; - (160) afficher l’image de l’élément ; et - si au moins un défaut est estimé présent, (170) générer une alerte. Lors de l’étape d’estimation, une entrée de l'algorithme d'intelligence artificielle est une image d’une zone comportant l’élément, et une sortie est un niveau de confiance quant à une absence de défaut de l’élément pour ladite zone. Si le niveau de confiance est inférieur à un seuil, alors un défaut est estimé présent. Lors de l’étape d’entraînement, seules des images de l’élément sans défaut sont fournies à l’entrée de l'algorithme d'intelligence artificielle. Figure pour l'abrégé : Figure 4
FR2011882A 2020-11-19 2020-11-19 Procédé et dispositif électronique d'aide à la surveillance d’un élément de réacteur nucléaire, programme d’ordinateur et système associés Active FR3116342B1 (fr)

Priority Applications (5)

Application Number Priority Date Filing Date Title
FR2011882A FR3116342B1 (fr) 2020-11-19 2020-11-19 Procédé et dispositif électronique d'aide à la surveillance d’un élément de réacteur nucléaire, programme d’ordinateur et système associés
CN202180077096.XA CN116457894A (zh) 2020-11-19 2021-11-18 用于辅助监视核反应堆的元件的方法和电子设备、相关的计算机程序及相关的系统
US18/037,560 US20240006087A1 (en) 2020-11-19 2021-11-18 Method and electronic device for assisting with surveillance of an element of a nuclear reactor, associated computer and associated system
EP21815984.6A EP4248464A1 (fr) 2020-11-19 2021-11-18 Procédé et dispositif électronique d'aide à la surveillance d'un élément de réacteur nucléaire, programme d'ordinateur et système associés
PCT/EP2021/082076 WO2022106506A1 (fr) 2020-11-19 2021-11-18 Procédé et dispositif électronique d'aide à la surveillance d'un élément de réacteur nucléaire, programme d'ordinateur et système associés

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR2011882 2020-11-19
FR2011882A FR3116342B1 (fr) 2020-11-19 2020-11-19 Procédé et dispositif électronique d'aide à la surveillance d’un élément de réacteur nucléaire, programme d’ordinateur et système associés

Publications (2)

Publication Number Publication Date
FR3116342A1 FR3116342A1 (fr) 2022-05-20
FR3116342B1 true FR3116342B1 (fr) 2023-04-14

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ID=75539384

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Application Number Title Priority Date Filing Date
FR2011882A Active FR3116342B1 (fr) 2020-11-19 2020-11-19 Procédé et dispositif électronique d'aide à la surveillance d’un élément de réacteur nucléaire, programme d’ordinateur et système associés

Country Status (5)

Country Link
US (1) US20240006087A1 (fr)
EP (1) EP4248464A1 (fr)
CN (1) CN116457894A (fr)
FR (1) FR3116342B1 (fr)
WO (1) WO2022106506A1 (fr)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117558472B (zh) * 2024-01-11 2024-03-15 深圳大学 核反应堆冷却系统及其冷却控制方法

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9779370B2 (en) * 2014-09-15 2017-10-03 Palo Alto Research Center Incorporated Monitoring user status by comparing public and private activities
US10753881B2 (en) 2016-05-27 2020-08-25 Purdue Research Foundation Methods and systems for crack detection
CA3030226A1 (fr) * 2016-07-08 2018-01-11 Ats Automation Tooling Systems Inc. Systeme et procede d'inspection automatique et manuelle combinee
CN108280820A (zh) * 2017-12-12 2018-07-13 深圳市智能机器人研究院 一种核岛厂房清水混凝土墙面自动修复系统及其实现方法
CN108734142A (zh) * 2018-05-28 2018-11-02 西南交通大学 一种基于卷积神经网络的核堆内构件表面粗糙度评估方法
CN110751642A (zh) * 2019-10-18 2020-02-04 国网黑龙江省电力有限公司大庆供电公司 一种绝缘子裂缝检测方法和系统

Also Published As

Publication number Publication date
CN116457894A (zh) 2023-07-18
EP4248464A1 (fr) 2023-09-27
WO2022106506A1 (fr) 2022-05-27
US20240006087A1 (en) 2024-01-04
FR3116342A1 (fr) 2022-05-20

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