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サーベイ:デジタルツイン / A Survey about Digital Twin

65241d0356dc5a93b0fec68bcf7b42ac?s=47 yumulab
May 31, 2021

サーベイ:デジタルツイン / A Survey about Digital Twin

デジタルツインに関する、引用数の多いホワイトペーパー的な論文2本の内容をまとめた資料
・Digital twin-driven product design, manufacturing and service with big data (Tao et al., 2018) https://www.researchgate.net/publication/323397001_Digital_twin-driven_product_design_framework
・Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems (Grieves and Vickers, 2016) https://www.researchgate.net/publication/306223791_Digital_Twin_Mitigating_Unpredictable_Undesirable_Emergent_Behavior_in_Complex_Systems

65241d0356dc5a93b0fec68bcf7b42ac?s=128

yumulab

May 31, 2021
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  1. !"#$%&'()*$+ • !"#"$%&'$(")*+,"-.)'/,0+12$'+.3"#)4' 5%)16%2$1,")#'%)+'3.,-"2.'("$7'8"#'+%$%' 9:%0'.$'%&;4'<=>?@ • !"#"$%&':(")A'B"$"#%$")#'C)/,.+"2$%8&.4' C)+.3",%8&.'D5.,#.)$'E.7%-"0,'")'F05/&.G' HI3$.53'9J,".-.3'%)+'K"2L.,34'<=>M@' NI151>O

  2. PQRS • Ҿ༻਺ͷଟ͍ϗϫΠτϖʔύʔతͳ࿦จ2ຊ • Digital twin-driven product design, manufacturing and

    service with big data • Tao et al., 2018 • ๺ژߤۭߤఱେֶ (Beihang University) • Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems • Grieves and Vickers, 2016 • Florida Institute of Technology, NASA 2
  3. Digital twin-driven product design, manufacturing and service with big data

  4. TUVWXYWZ[ 4

  5. \]^[_W`ab`cde • ं΍ඈߦػΛ૝ఆ: Hochhalter et al. (2014) • Glaessegen and

    Stargel (2012)ͷఆ͕ٛΑ͘࢖ΘΕΔ • ෺ཧݱ৅͕ෳ߹త(multi-physics)ͰɺϚϧνεέʔϧͰɺ֬཰తͳγϛϡ Ϩʔγϣϯ • ण໋Λਖ਼֬ʹݟੵ΋ΔͨΊʹ • ࠷ྑͷ෺ཧϞσϧ • ηϯασʔλͷΞοϓσʔτ • σδλϧπΠϯͷߏ੒ཁૉ • ෺ཧ੡඼ • Ծ૝੡඼ • ઀ଓσʔλ 5
  6. \]^[_W`afg • ϦΞϧλΠϜͷ൓ө • ૬ޓ࡞༻ͱऩଋ • ෺ཧۭؒʹ͓͚Δ૬ޓ࡞༻ͱऩଋ • ཤྺσʔλͱϦΞϧλΠϜσʔλͷ૬ޓ࡞༻ͱऩଋ •

    ෺ཧۭؒͱԾ૝ۭؒͷ૬ޓ࡞༻ͱऩଋ • σδλϧπΠϯͷϢʔεέʔε • ߤۭӉ஦෼໺ • ߤۭػͷඈߦϞσϧΛߏங • ُ྾౳ͷػମण໋Λ༧ଌ 6
  7. hi • Ծ૝ݕূ • গྔੜ࢈͢ΔલʹݕূՄೳ 7

  8. jklZmn]k • Intelligent perception and connection • Virtual Modeling •

    Data construction and Management • Digital twin-driven operation technology • Smart production and precision service 8
  9. op • Ultra-high-speed transmission technology • ߴ଎Ͱ஧࣮ͳಉظͷͨΊ • High-performance computing

    and multi-physics/multi-scale interdisciplinary(ֶࡍੑ) • Deep learning • Regulation (ࠃ΍࣏ࣗମͷن੍) 9
  10. b`eqrsktu` • σδλϧπΠϯۦಈͷ੡඼ઃܭɺ੡଄ɺαʔϏεͷ৽͍͠ํ๏ΛఏҊ • ద༻ํ๏ͱϑϨʔϜϫʔΫΛ·ͱΊͨ • ϢʔεέʔεΛࣔͨ͠ 10

  11. Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems

    σδλϧπΠϯɿෳࡶͳγεςϜʹ͓͚Δ ༧ଌෆՄೳͳ๬·͘͠ͳ͍ɹ;Δ·͍ͷܰݮ
  12. vwxtylz{P| • γεςϜ͸simple, complicated, complexͷ3छྨʹ෼ྨͰ͖Δ • simple system • ׬શʹ༧ଌՄೳ

    • complicated system • ׬શʹ༧ଌՄೳ • ίϯϙʔωϯτ਺͕simple systemͱҧ͏(۩ମతͳ਺͸ॻ͔Ε͍ͯͳ͍) • ྫɿػցࣜ࣌ܭ • complex system • ༧ଌΛࠔ೉ʹ͢Δཁૉ • େن໛ωοτϫʔΫ • ଟରଟͷ௨৴νϟωϧ • ߴ౓ͳ৘ใॲཧ • ڻ͖(༧ଌෆೳੑ)͕͋Δɿ׻ܴ͞Εͳ͍ 12 γεςϜͱ͸ (Grieves 2012 ΑΓ) 2ͭҎ্ͷίϯϙʔωϯτΛ૊Έ߹Θͤͯɺ1ͭҎ্ͷೖྗ͔Β݁ՌΛੜ੒͢Δɻͦͷ݁ Ռ͸ɺݸผͷίϯϙʔωϯτ͔Β͸ಘΒΕͳ͍ʢ૊Έ߹Θͤͨ͜ͱͰಘΒΕΔʣɻ
  13. tylza}~ • predicted(༧ଌ௨Γͷ݁Ռ) or unpredicted(༧ଌͱҟͳΔ݁Ռ) • desirable(๬·͍݁͠Ռ) or undesirable(๬·͘͠ͳ͍݁Ռ) 13

    ཧ૝ ؅ཧ্ͷ໰୊ (ઃܭ্ͷ໰୊ʁ) ༗ӹ͕ͩ ཧղͰ͖͍ͯͳ͍ ϓϥΠυ͕ই͚ͭͩ͘ ਂࠁͰյ໓తͳ໰୊Λ Ҿ͖ى͜͢Մೳੑ σδλϧπΠϯͰ ܰݮɾղফ
  14. •€tylza•‚ƒ„ • Grieves’ Test of Virtuality (Grieves 2006) • νϡʔϦϯάςετʹجͮ͘Ծ૝γεςϜͷධՁํ๏

    • ※ݱঢ়ͷԾ૝γεςϜ͸ͲΕ΋ΫϦΞͰ͖͍ͯͳ͍ • ࢹ֮ςετ • ݟͨ໨Ͱ෺ཧγεςϜͱԾ૝γεςϜΛ൑ผͰ͖Δ͔ • VR౳ͷٕज़ਐาͰਐԽ͍ͯ͘͠ • ߦಈςετ • ͋ΔλεΫΛߦͬͨࡍʹਓ͕ؒ൑ผͰ͖Δ͔ • ྫɿετϨεΛ͔͚Δɺ෩ಎʹઃஔ͢Δ • ՝୊ɿߦಈͷ݁ՌΛͲͷΑ͏ʹܭଌ͢Δ͔ʢ෩ಎͰԎͷྲྀΕΛݟΔʣ • ൓өੑςετ • ෺ཧγεςϜͱಉ͡৘ใΛಘΒΕΔ͔ • ྫɿ೩ྉ࢒ྔήʔδɺϊζϧѹྗ 14
  15. \]^[_W`a…†{‡ˆg • োน • αΠϩԽʢઐ໳ͷࡉ෼Խʣ • ଟ͘ͷγϛϡϨʔγϣϯ͕υϝΠϯݻ༗Ͱ࡞ΒΕ͍ͯΔ • ܭࢉྔͷଟ͞ •

    ύϥϝʔλ͕ଟ͍ • ܭࢉػ͕ਐԽ͢ΔʹͭΕͯ໰୊͸খ͘͞ͳΔ • Մೳੑ • લ౗͠ܭࢉ (front-running) 15
  16. \]^[_W`‰aŠ‹H‹aŒdnk• • NASAͷγεςϜ։ൃͷ՝୊ • γεςϜ։ൃ͕ߴֹ • NASAࣗ਎͸γεςϜΛͭ͘Βͳ͍ • աڈʹ࡞ΒΕͨ͜ͱ͕ͳ͍΋ͷΛ࡞Δ •

    ྫɿϩέοτൃࣹγεςϜ • σδλϧπΠϯͰίετ࡟ݮͰ͖Δϙςϯγϟϧ͕େ͖͍ • ೩ྉλϯΫͷ։ൃʹσδλϧπΠϯಋೖ • ·ͩେ͖ͳෆҰக͕͋Δ 16
  17. શମॴײ

  18. \]^[_W`SŽ••a‘’ • όζϫʔυɺɺɺ͕ͩͦ͜·Ͱྲྀߦͬͯͳ͍ • Physical 㱻 Virtualͷ૒ํ޲ͷσʔλतड͕໘ന͍͸ͣͳͷ͚ͩͲɺେ ن໛ߴਫ਼ࡉγϛϡϨʔγϣϯͷ࿩ʹͳΓ͕ͪ • ͦΜͳʹ͙͢͏·͍͘͘࿩Ͱ͸ͳ͍

    • ݱঢ়Λ஌Γ͚ͨΕ͹࣮αʔϏε(AnsysͳͲ)ͷࣄྫΛௐ΂ͨ΄͏͕Α ͦ͞͏ 18