つくばリポジトリ TAIJ 82 734 1125

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ǀǂ ʭˌ ˡǰʡ ³

This study aims at considering efficient facilities management using existing design documents converted to building information models. Note that, whenever possible, original paper documents will be used to create the building information models used in our method. Based on repair records, attempts were made to calculate the time between problems of the building components. Explanatory variables were acquired from BIM data along with other materials. As a result, some variables acquired from BIM data were statistically significant. And by adding room-based explanatory variables including ones obtained from BIM data, some adjusted R-squared values got higher.

BIM, Design documents, Repair record, Regression analysis, Existing building, Conservation

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修繕記録に基づいた建物構成要素のトラブル間隔の分析を通じて

EFFICIENT FACILITIES MANAGEMENT USING EXISTING DESIGN DOCUMENTS CONVERTED

TO BUILDING INFORMATION MODELS

A case study of calculating time between troubles of building components based on repair records

松 林 道 雄

_{，渡 辺   俊}

Michio MATSUBAYASHI and Shun WATANABE

 ＊_{筑波大学大学院システム情報工学研究科社会工学専攻}

日本学術振興会特別研究員 DC

＊＊_{筑波大学システム情報系社会工学域 教授・博士（工学）}

JSPS Research Fellow, Dept. of Policy and Planning Sciences, Graduate School of Systems and Information Engineering, Univ. of Tsukuba

Prof., Division of Policy and Planning Sciences, Faculty of Engineering, Information and Systems, Univ. of Tsukuba, Ph. D. in Eng.

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ń–2ʁɾŭĘ=®Ȇ!B.@5 Nj2ɶń–1Bʁɾ

čƲ‰ɺFTable 51Ɗʠ!B

4.1 KJ-5

ȔʍÇIJ1ĵũ!BśǼǐűɶȿ1*,Bęŵ-Ȏȅ&

Ɍūµɒ˟epˠ2Öĉ@2ƥƚʿˉFȒȏĞƚ.,ʁĮ &ęŵ2ʁĮ1*,śǼè§Fėdz.,ȳÌ!B¹. ʳĽè§Fėdz.,ȳÌ!B¹22ȣ˝Fdz¼,BÖɚ3

BśǼ1ü9CBĵʖ2śǼǐűɶȿ1*,epʝB ƥƚʿˉFƁ!Ťɚ3BʳĽ1ü9CBĵʖ2śǼǐűɶȿ 1*,epʝBƥƚʿˉFƁ!ƚ¹3ȳÌ!Bėdz

FśǼ9&3ʳĽ-ãÒ&‹-µɒʀʹ1ʀʠCBƥFſ ‹ùȲŵ2Öĉep@2ʿˉFǟ<&Ǧ₅₎

4.2 \<-5

4.2.1 ;.ZX,>BIM%

ƻșȦ-3 BIM dˆ_áC&ʁɾčƲFȆ,ŦBʉƦĞƚ 2ţ˖FɻĴ!BCFŦB&<2 BIM dˆ_3ŷÞ1?),

ȾĦ«2ʁɾčƲ@ÈȁC&=2FŮĮ,B

BIM^oeLMIǦ_{6)FȆ,ƤĨ2ʁɾčƲFBIMdˆ_6} Ğƌ!BBIMdˆ_Ğƌ‡®Ȇ¯.,Table 425CNjF

ïA‹B1973Ő2ȯǥġĪȎʞƩ@ĨĒ40՟‹®Ȇ C,AșȦİ>–ßݤʔİ>ƙİFü;ĠȒȏĔ2ƣʁ -BƔµǙA2006Ő@2008Ő13ɛ˒ɳş2&<1

śǼÄ«1E&BġɸǓƔµń–0C,B

Fig. 51ț!?1BIMdˆ_á1&),3ȓʣ2ġɸǓƔ

µń–2ʁɾčƲFƵÐ1ìə.&$,ġɸǓƔµń–2

ʁɾčƲ1ʀʠC0Ȳŵ)&.ơćń–2=2Fìə .&ķʼ1*,3śȷń–F®Ȇ&Ť1ǔlj‡ˑǝʁ ¼ń–F®Ȇ&ʴɓɶȿ31^oeLMI1ƏʠCB=2

FȆ,BFig. 61țCBBIMdˆ_3C@2ŷ˘FɃ,

­űC&=2-B

4.2.2 )`8\<-5(3

ïŦ&ʉƦĞƚ2‰ɺFTable 6.Table 71Í,ț!ʉ ƦĞƚ3÷ȔʍÇIJ1ˀʪ!B=2Fˍ<B?Ü<&

Table 5 List of design documents for major building projects

Nj ú ȡ ń – ȣ ˝ Ő Ŗ ķ ʼ

ɍøșȦNjB ơćń– 2002, 2004 śȷ, ǔlj, ˑǝ

äĪȺĪȺNj ơćń– 1975, 1976, 1977 śȷ, ǔlj, ˑǝ ġɸǓƔµń– 2012, 2014, 2015 śȷ, ǔlj, ˑǝ

ńĪȺĪȺFNj ơćń– 1977, 1979 śȷ, ǔlj, ˑǝ

ġɸǓƔµń– 1991, 2008 śȷ, ǔlj, ˑǝ

ɍøșȦNjD ơćń– 2002, 2004 śȷ, ǔlj, ˑǝ

5CNj ơćń– 1973, 1974 śȷ, ǔlj, ˑǝ ġɸǓƔµń– 2006, 2007 śȷ, ǔlj, ˑǝ

Fig. 5 Order of design documents as a reference

Fig. 6 Building information model of Building 5C

Table 6 Building-based explanatory variables

ʉ Ʀ Ğ ƚ Ç IJ ʥ Ú Á à ŷ ¿ ƹʿ ĪƹF1, £ǍF0 ś‡ǔ‡ˑ µɒʀʹ

ȷŐƚ Ő ś‡ǔ‡ˑ NjÒŏ˔č

Ś7Ŕ˔ȥ m2 ś‡ǔ‡ˑ NjÒŏ˔č

ɍˈƚ ˈƚ2øɾ ś‡ǔ‡ˑ NjÒŏ˔č

ǝDZ ˟Ƶ˞ǝDZˠ ǔ ǝʖŒHP

Ģǝ ƯA‡ːF1, ƬCF0 ˑ ǝʖŒHP ǫʚˑÙ W˟nˆSƩˠ ǔ‡ˑ ˑÙȴȃŭĘY[cx

Table 7 Room-based explanatory variables

ʉ Ʀ Ğ ƚ Ç IJ ʥ Ú Á à ŷ ¿ ʳĽ«ȥ m3 ś‡ǔ‡ˑ BIMdˆ_[ƢǤ1]

ʴɓˈ ˈ ś BIMdˆ_[ƢǤ1]

fIƚ · ś BIMdˆ_[ƢǤ2]

ȧʌǔƚ · ǔ BIMdˆ_[ƢǤ3]

ýÌñƚ · ǔ BIMdˆ_[ƢǤ3]

ǺƦĈÆƚ · ˑ BIMdˆ_[ƢǤ3]

1ʥÚ&˗ȒFʥÚ!B­ǍFʨ ,Ś7Ŕ˔ȥ

ġƢ¡ƚ=Ġɷ@CB½ûƄ@C&‰Ƣ-śȷŐ ò=23Ũ"=¡ƚĠ.3˅@0ǾǣƄ@C& ƻȵ2­ǍFʨ ,Ÿ˄2Íǁ1®Ȇ!BȔʍÇIJ.W…q

.,®Ȇ!BśǼFʰĮ&.D-îˍ&µɒʀʹ-3 Ɍūµɒ2ÇIJ'-0Njú‡İúŵĿʳɔú1,=ù ‰ÇIJ1ĵ,Ʋ˝.1ʀʤ24@*ɷ@C&C@24

@*1ĵdˆ_­űƩȮ1BÃÙɚ2ÑƠ$2Ť2Í ǁ1ġţ˖!BÑƠ2ºAFʱB.3IJƧ-30 ʛƟȮFìə!B.1?),ÃÙÇIJ2ɇ‰1Ü<B.ʵɶ

.0B

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Ğƚ2ŽÌFɬ)& 2˗Ȓ@3Ʃƹ.§ɓɌūµɒ 2ã͇ÇIJFȆ&$,ÖȪ@Ġ2¡ƚɷ@C&Ȕ ʍÇIJ.,$2œ2fI.ȧʌǔˑȂ ɫÂǵFʰż&

9&W…qƚFȚ´!BɻǷ?AśǼ3Ȕʍ¡ƚ2ĠƢ

@ NjFʰż&˟ ¡ ˠC@2śǼ1*,3śʁ

ń–2ʁɾŭĘ=®Ȇ!B.@ Nj2ɶń–1Bʁɾ

čƲ‰ɺF 1Ɗʠ!B

KJ-5

ȔʍÇIJ1ĵũ!BśǼǐűɶȿ1*,Bęŵ-Ȏȅ&

Ɍūµɒ˟epˠ2Öĉ@2ƥƚʿˉFȒȏĞƚ.,ʁĮ &ęŵ2ʁĮ1*,śǼè§Fėdz.,ȳÌ!B¹.

ʳĽè§Fėdz.,ȳÌ!B¹2 ȣ˝Fdz¼,BÖɚ3

BśǼ1ü9CBĵʖ2śǼǐűɶȿ1*,epʝB ƥƚʿˉFƁ!Ťɚ3BʳĽ1ü9CBĵʖ2śǼǐűɶȿ 1*,epʝBƥƚʿˉFƁ!ƚ¹3ȳÌ!Bėdz

FśǼ9&3ʳĽ-ãÒ&‹-µɒʀʹ1ʀʠCBƥFſ ‹ùȲŵ2Öĉep@2ʿˉFǟ<&Ǧ

\<-5

;.ZX,> %

ƻșȦ-3 dˆ_áC&ʁɾčƲFȆ,ŦBʉƦĞƚ 2ţ˖FɻĴ!BCFŦB&<2 dˆ_3ŷÞ1?),

ȾĦ«2ʁɾčƲ@ÈȁC&=2FŮĮ,B

^oeLMIǦ _{FȆ,ƤĨ2ʁɾčƲF dˆ_6}

Ğƌ!B dˆ_Ğƌ‡®Ȇ¯., 2 NjF

ïA‹B Ő2ȯǥġĪȎʞƩ@ĨĒ ՟‹®Ȇ

C,AșȦİ>–ßݤʔİ>ƙİFü;ĠȒȏĔ2ƣʁ -BƔµǙA Ő@ Ő13ɛ˒ɳş2&<1

śǼÄ«1E&BġɸǓƔµń–0C,B

1ț!?1 dˆ_á1&),3ȓʣ2ġɸǓƔ

µń–2ʁɾčƲFƵÐ1ìə.&$,ġɸǓƔµń–2

ʁɾčƲ1ʀʠC0Ȳŵ)&.ơćń–2=2Fìə .&ķʼ1*,3śȷń–F®Ȇ&Ť1ǔlj‡ˑǝʁ ¼ń–F®Ȇ&ʴɓɶȿ31^oeLMI1ƏʠCB=2

FȆ,B 1țCB dˆ_3C@2ŷ˘FɃ,

­űC&=2-B

)`8\<-5(3

ïŦ&ʉƦĞƚ2‰ɺF . 1Í,ț!ʉ

ƦĞƚ3÷ȔʍÇIJ1ˀʪ!B=2Fˍ<B?Ü<&

Nj ú ȡ ń – ȣ ˝ Ő Ŗ ķ ʼ

ɍøșȦNj ơćń– śȷ ǔlj ˑǝ

äĪȺĪȺNj ơćń– śȷ ǔlj ˑǝ

ġɸǓƔµń– śȷ ǔlj ˑǝ

ńĪȺĪȺ Nj ơćń– śȷ ǔlj ˑǝ

ġɸǓƔµń– śȷ ǔlj ˑǝ

ɍøșȦNj ơćń– śȷ ǔlj ˑǝ

Nj ơćń– śȷ ǔlj ˑǝ

ġɸǓƔµń– śȷ ǔlj ˑǝ

ʉ Ʀ Ğ ƚ Ç IJ ʥ Ú Á Ã ŷ ¿

ƹʿ ĪƹF £ǍF ś‡ǔ‡ˑ µɒʀʹ

ȷŐƚ Ő ś‡ǔ‡ˑ NjÒŏ˔č

Ś7Ŕ˔ȥ ś‡ǔ‡ˑ NjÒŏ˔č

ɍˈƚ ˈƚ2øɾ ś‡ǔ‡ˑ NjÒŏ˔č

ǝDZ ˟Ƶ˞ǝDZˠ ǔ ǝʖŒ

Ģǝ ƯA‡ːF ƬCF ˑ ǝʖŒ

ǫʚˑÙ ˟nˆSƩˠ ǔ‡ˑ ˑÙȴȃŭĘY[cx

ʉ Ʀ Ğ ƚ Ç IJ ʥ Ú Á Ã ŷ ¿

ʳĽ«ȥ ś‡ǔ‡ˑ dˆ_ ƢǤ

ʴɓˈ ˈ ś dˆ_ ƢǤ

fIƚ · ś dˆ_ ƢǤ

ȧʌǔƚ · ǔ dˆ_ ƢǤ

ýÌñƚ · ǔ dˆ_ ƢǤ

ǺƦĈÆƚ · ˑ dˆ_ ƢǤ

ƅǍƩʿƚ è§ƚ2øɾ ś‡ǔ‡ˑ Yk[

Table 6

1Ɗʠ!B=23śǼ2ĿŬ¹1&BʉƦĞƚ-Bƹʿ3µɒʀʹ2°˛ƥF2014ŐŖ2ĪŐƮ1Ǻ@øE #B.1?AȳÌ&ȷŐƚ>Ś7Ŕ˔ȥɍˈƚ3ďȩġĪ Ǥ™ȮƣʁįŰʌdž2NjÒŏ˔čFǫʚˑÙ3ġĪ2ˑÙŭĘY

[cxǦ_{7)FǝDZ.Ģǝ3ǝʖŒdˆ_}Ǧ_8)FȆ,ïŦ& Table 7 1Ɗʠ!B=23ʳĽ2ĿŬ¹1&BʉƦĞƚ-B$2Ġ3BIMdˆ_˟ʁɾčƲˠ@ïŦ&BIMdˆ _Ÿğ1*,ƅǍƩʿƚ3ġĪ2Yk[Ǧ_9)F®Ȇ& BIMdˆ_@2ʉƦĞƚïŦ1,3ɶȿè«2ʁɾƩ1 ǡĮCBĿŬ¹'-0ɶȿ.ȧʿȏ‡iae„ˆSȏ1ˀ

ʪBÒɶȿ2ĿŬFÓȆ!B.Fʄ:&ƻșȦ-Ȇ&dˆ _ïŦƢǤ1*,Table 81ƛȃ&ƢǤ1-3OpZMSe 2ʴɓƩ1­čȄĚ1?),ǡĮCBĿŬ¹FÓȆ!BBIMd ˆ_á1,ʳĽ«ȥ3ʳĽOpZMSeFʴɓ!Bˊ1ʴɓ ˈ3fIOpZMSeFʴɓ!Bˊ1$2¹ǡĮCBC@

3OpZMSeʰżC&ˊ1LJ…fL1ɰțCB=2-BƢǤ2-3ŠOpZMSe1ڜOpZMSeʴɓ

CB.1?),ǡĮCBĿŬ¹FÓȆ!BPhoto 21ț!2

3fI*02ʳĽFʀʤ!BĿŬ¹2ɰ-BfI2‰ɺ

ɰ­űƩ9&3ĿŬŭĘFNS[uˆe!B.1?),Țʇ!B .-B2ĿŬ¹3fI$2=22ʴɓ1Ú$CF ü;ĜĚȊ.0B?0ʳĽOpZMSeʴɓC,Ð<,$

2¹ǡĮCBTable 7Ɗʠ2fIƚ3Photo 21ț!ɰ@ ïŦ&Ǧ_{10)ƢǤ3-3Fig. 71ț!?0ʳĽ.ʅŠOpZM} Seʿ2àüˀ²FÓȆ!BʳĽ3Ĝ1?),˙ĕǡ9A‹

ŒƢû3Ŕ.Ģ—1?),ĮɖC3Ǘ¿2šǾFƷ!Bȧʌǔ ƚ.ýÌñƚǺƦĈÆƚ3ʳĽ1ü9CB=2Fƚ‹B. Ǧ_{11)1?),$2¹FïŦ&&'ƻșȦ-35CNj2:C} @2ƢǤFȆœ4Nj1*,3žƴ2ƢǤFȆ,BǦ₁₂₎ 9--ʁĮ&2ȣ˝2ȒȏĞƚʉƦĞƚFȆ,ÍǁF įƣ!B1&AFig. 81ț!S[ʿ2àüˀ²FÖƋ.& ʳĽ3śǼ1ü9CB.@ʳĽ@ɷB.ʳĽ$2=22Ŭ Lj1ÚśǼƀ*ŬLj=Ʒ,B.ÖƋ-BÆ«ȏ1 3śǼFėdz.&ȒȏĞƚFȆBęøʉƦĞƚ3śǼ1ĵ

ũ&=22:®Ȇ&ʳĽFėdz.&ȒȏĞƚFȆBęø śǼ1ĵũ&ʉƦĞƚF®ȆʳĽ1ĵũ&=22ʥÚ2Ʒ Ǹ-ęøÍF&

5. deb+0#?

epʿˉ2ʵĉŋÍǁ2įƣ13ɇɾȆ^oeLMIǦ_13)F

Ȇ&ʉƦĞƚ2ƇȆ1*,3şÔŻÃ.&ȔʍÇIJ. 1ɄDŽF9.<&ɰFTable 9@Table 111ț!Ǧ₁₄₎ ʵĉŋÍǁ3ǚˈȏ1ɬ),AȒȏĞƚ1*,ƵÐ1śǼ

è§Fėdz.&=2Ť1ʳĽè§Fėdz.&=22ɄDŽFȳ Ì&W…qƚ1*,=ǚˈȏ1­ǍFɬ)&&<dˆ_T ˆqFÍ,BTˆqA35CNj2:2dˆ_˟94¡ˠ TˆqB35Nj2dˆ_˟707¡ˠTˆqC3ȯǥR{…l [2NjÄ,2dˆ_˟4,489 ¡ˠ.&9&ʳĽ2ĿŬ¹1 &BʉƦĞƚ2ʥÚ˟BIMʥÚ.ɰʀˠ2ƷǸ-ęøÍF& 0BIMdˆ_@2ʉƦĞƚïŦ35Nj2:-B.@

TˆqC3śǼFėdz.&ȒȏĞƚ2:2ɄDŽFƊʠ,B -3ʳĽFėdz.&ȒȏĞƚ‡TˆqB2ɄDŽ1* ,Ʒů0ʉƦĞƚBIMdˆ_@ïŦ&ʉƦĞƚ2ƷǸ1? BĞáFʤ7B÷ȔʍÇIJFɷ&.DBIMdˆ_@Ŧ&ʉ ƦĞƚ1Ʒů0=2Bęø˟fI.ˑȂ/ɫÂǵˠ1*,3 C@2ʥÚ1?BǡĮ²ƚ2û‹ɷ@C&2.@3

BIM dˆ_@ŦBʉƦĞƚFÚB.1?A•Dz2ȹŖû

‹!B=2.Ƅ@CB

5.1 h1Ri

ʳĽFėdz.&ȒȏĞƚ1,BIMdˆ_@Ŧ&ʉƦĞ

Table 8 Data acquisition method using BIM

Photo 2 Attribute information of door (Method 2)

Fig. 7 Counting the number of elements within room (Method 3)

Fig. 8 Inclusion relationship between classes

Ƣ Ǥ ƢǤ1 ƢǤ2 ƢǤ3

Ç IJ

OpZMSe2 ʴɓƩ1ǡĮ CBĿŬ¹F® Ȇ

ŠOpZMSe 1ڜOp ZMSeʴɓ CB.1? ),ǡĮCB ĿŬ¹F®Ȇ

ʳĽ1ü9CB ʅŠS[2O pZMSeFƚ ‹B

ʉ Ʀ Ğ ƚ ʳĽ«ȥ_ʴɓˈ , fIƚ ȧʌǔƚýÌñƚ, ,

Table 9 Multiple regression analysis results (Door)

Ȓ ȏ Ğ ƚ śǼ ʳĽ

T  ˆ q A B C A A B B

BIMʥ Ú Ǹ Ʒ Ǹ Ʒ

N=15 N=61 N=286 N=15 N=15 N=61 N=61

ʉ Ʀ Ğ ƚ

ƹʿ .328 -.117 -.054 .430 .416 -.003 -.020

ȷŐƚ - -.087 -.005 - - -.122 .027

Ś7Ŕ˔ȥ - .320 -.280** - - -.043 -.189

ɍˈƚ - -.070 -.100 - - -.074 .103

ʳĽ«ȥ -.429 -.124

ʴɓˈ -.482 -.331*

fIƚ .089 -.044

ƅǍƩʿƚ -.155 -.172

R2 _{.107 .080 .136** .185 .430 .024 .124} R2_adj .039 .014 .124** .122 .114 -.046 -.011 ** p < .01, * p < .05, p < .10

TˆqˢA / 5CNj2:, B / Table 4Ɗʠ25Nj, C / ȯǥR{…l[2NjÄ,

BIMdˆ_@Ŧ&ʉƦĞƚˢúȡ1I…`ˆK… (Table 10, Table 11=ùǑ)

Table 10 Multiple regression analysis results (Air conditioner)

Ȓ ȏ Ğ ƚ śǼ ʳĽ

T  ˆ q A B C A A B B

BIMʥ Ú Ǹ Ʒ Ǹ Ʒ

N=19 N=75 N=316 N=19 N=19 N=75 N=75

ʉ Ʀ Ğ ƚ

ƹʿ -.147 -.186 -.002 -.453 -.568 -.085 -.044

ȷŐƚ - -.578* .128* - - .155 .295

Ś7Ŕ˔ȥ _- .356 -.173* - - .102 -.016

ɍˈƚ - -.143 -.196* - - -.176 -.126

ǝDZ -.074 -.239* -.285** -.456* -.395 -.694** -.717**

ǫʚˑÙ -.041 -.306 .023 .381 .482 .511* .576*

ʳĽ«ȥ -.451 .198 ȧʌǔƚ .498 -.243

ýÌñƚ -.287 -.034

ƅǍƩʿƚ -.053 .025

R2 .043 .186* .217** .397* .516 .448** .465** R2_adj -.148 .114* .202** .277* .208 .399** .381**

Table 11 Multiple regression analysis results (Lamp bulb,

Fluorescent lamp)

Ȓ ȏ Ğ ƚ śǼ ʳĽ

T  ˆ q A B C A A B B

BIMʥ Ú Ǹ Ʒ Ǹ Ʒ

N=6 N=233 N=1628 N=6 N=6 N=233 N=233

ʉ Ʀ Ğ ƚ

ƹʿ .199 -.016 .029 -.936 -.344 -.212** -.210**

ȷŐƚ - .654** -.130** - - .597** .758**

Ś7Ŕ˔ȥ - -.131 -.135** - - -.090 -.270

ɍˈƚ - -.339** -.119* - - -.289** -.238**

Ģǝ .131 -.006 -.010 .233 1.115 -.022 -.026

ǫʚˑÙ .608 .461** -.095* .276 -.759 .493** .527**

ʳĽ«ȥ -1.905 .105

ǺƦĈÆƚ .770 -.327**

ƅǍƩʿƚ _- .080

R2 .582 .089** .075** .819 1.000 .113** .173** R2_adj -.044 .065** .071** .547 - .089** .139**

ƚ2-ʴɓˈ5%2Ǟdz-Ʒů-)&9&BIMdˆ_

@Ŧ&ʉƦĞƚ2ƷǸ1?BĞá3ʥÚ!B.1?AɢȈŖʌ ƛǮ:ʵǡĮ²ƚ2û‹ɷ@C&ǡĮ²ƚ$2=23 ¨¹-)&

ìə.,µɒʀʹ2Ȕʍ2ʆɀʀʤFȚʇ!B.Šɶȿ 1,3fISƒˆXˆ>ʺfIjp2Ƙˋ>ʾʽ2Æø Ġɷ@C,B

5.2 P]AhA@i

ʳĽFėdz.&ȒȏĞƚ1,BIMdˆ_@Ŧ&ʉƦĞ ƚ2-Ʒů0=230)&9&BIMdˆ_@Ŧ&ʉƦĞ

ƚ2ƷǸ1?BĞá3ʥÚ!B.1?BɢȈŖʌƛǮ:ʵǡĮ ²ƚ2û‹3ɷ@C0)&ǡĮ²ƚ3fI‡ˑȂ/ɫÂǵ.Ǜ7 ,˞¹-)&

µɒʀʹ2Ȕʍ2ʆɀʀʤFȚʇ!B.ÊƭŴ2­Þ, ƒ ­li2NˆɰțĠɷ@C,B

5.3 gH/WEhgBi

ʳĽFėdz.&ȒȏĞƚ1,BIMdˆ_@Ŧ&ʉƦĞ ƚ2-ǺƦĈÆƚ1%2Ǟdz-Ʒů-)&9&BIMdˆ _@Ŧ&ʉƦĞƚ2ƷǸ1?BĞá3ʥÚ!B.1?AɢȈ

ŖʌƛǮ:ʵǡĮ²ƚ2û‹ɷ@C&ǡĮ²ƚ$2= 23¨¹-)&

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http://www.cas.go.jp/jp/seisaku/infra_roukyuuka/pdf/houbun.pdf, (ì Ǻ 2016-10-07)

2) ƝʳȠĪȕˢƝʳȠĪȕK…oʻĶĀáɾȉ˟ɬÞɾȉˠ, Ɲʳ ȠĪȕK…oʻĶĀáɾȉ˟ɬÞɾȉˠ2ȱĮ1*,ˢƝʳȠĪȕ, http://www.mext.go.jp/b_menu/houdou/27/03/__icsFiles/afieldfile/201 5/03/31/1356260_2_1.pdf, (ìǺ 2016-10-12)

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4) Matsubayashi, M. and Watanabe, S.: Generating Schematic Diagrams of MEP Systems from 3D Building Information Models for Use in Conservation, Proceedings of the 20th Conference on Computer-Aided Design Research in Asia (CAADRIA 2015), pp.293-302, 2015.05

5) Matsubayashi, M. and Watanabe, S.: Forecasting Time between Problems of Building Components by Using BIM, CAADence in Architecture - Proceedings of the International Conference on Computer Aided Architectural Design, pp.107-112, 2016.06 6) ȬŒȽǢ, ªʶĶ‘, Úɪމ, ǭǞɲ’, ʕñ¿ˢńĪʳ2ÈʾȎ1ˀ

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7) łƻʮ”, ƸʳŁȅ, ‹ʶǘˢġĪR{…l[1Biae„ˆSȄ ĚFȆ&}ˆXìÚĔ‡FM dˆ_rˆ[Y[cx2óɟŬ -æɦġ Ī - 2 ï ɂ – ¯ F ʨ ,-, ƥ ƻ ś ȷ Ī ¤ Ź ɭ Ę þ ˍ, ȭ 14 ö, pp.211-216, 2001.12

8) ȇŃLJǢ, ɼȇƊʲ, ĹǀőģˢġĪƣʁ1BµɒĖɬqƒ][ í5µɒʚ2Íǁ, ƥƻśȷĪ¤ɾȉȺʏƝˍ, ȭ581ö, pp.135-141, 2004.07

9) IFMA: BIM for facility managers, Teicholz, P. (ed.), John Wiley & Sons, 2013

10) ʻƳŲʳȖɲ, §ijā‘, Œȇʗő, ġɵئ, ĹŃɲ”ˢBIMFʯȆ &ƤĨƣʁ2LCCȳĮŷǤ1ˀ!BșȦ -R{…l[FMǍßzd 1ˀ!BșȦ-, ƥƻśȷĪ¤ȭ34ĉŭʇY[cx‡ÓȆ‡ŹɭY …uZLxʏƝˍ, pp.79-84, 2011.12

11) Nakama, Y., Onishi, Y. and Iki, K.: Development of Building Information Management System Using BIM toward Strategic Building Operation and Maintenance, Proceedings of the 20th Conference on Computer-Aided Design Research in Asia (CAADRIA 2015), pp.397-406, 2015.05

12)  ʿȝʙ, ġɵئ, §ijā‘ˢɈɉȏÓȆ.ŭĘÅƷFóɟ1!Bś ǼɊƀȴȃƓƎ2&<2BIMFǨȆ&LMpY[cx2ʾȎ, ƥƻ śȷĪ¤ŹɭĘþˍ, ȭ22ň, ȭ50ö, pp.359-364, 2016.02 13) ġɵئ,  ʿȝʙ, §ijā‘, ƾǀŞǢ, ŎıȞŏˢʓÒŭĘ_T.

BIMFȆ&ƣʁɊƀȴȃ1BǷnjǍßƓƎ -OpZMSerˆ [2śȷŭĘviZy…eY[cx2șȦ $23-, ƥƻśȷĪ¤ȭ38

ĉŭʇY[cx‡ÓȆ‡ŹɭY…uZLxʏƝˍ, pp.13-18, 2015.12 14) Fukuda, T., Mori, K. and Imaizumi, J.: Integration of CFD, VR, AR and BIM for Design Feedback in a Design Process: An Experimental Study, Proceedings of the 33rd eCAADe (Education and research in Computer Aided Architectural Design in Europe), pp.665-672, 2015.09

15) Hosokawa, M., Fukuda, T., Yabuki, N., Michikawa, T. and Motamedi, A.: Integrating CFD and VR for Indoor Thermal Environment Design Feedback, Proceedings of the 21st Conference on

Computer-Aided Design Research in Asia (CAADRIA 2016), pp.663-672, 2016.03

16) ˃ʳȝ‰, Ǡȇ˓õˢȧʿŬFŷA.&V…n|ˆ_Yw|‚ˆ Y~…1?BɢŇɂɑȏqƒ][ȏŷǤFȆ&©īɮ2ʴɓdXK …1ˀ!BșȦ, ƥƻśȷĪ¤ȭ34ĉŭʇY[cx‡ÓȆ‡ŹɭY …uZLxʏƝˍ, pp.25-30, 2011.12

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This study aims at considering efficient facilities management using existing design documents converted to

building information models.

Numerous buildings were constructed during Japan’s period of high economic growth and the conservation of those

buildings is now a social issue. The deficiency of not only a periodic inspection but also the management of the

construction information causes those circumstances. Because the use of the design documents is important for the

maintenance of existing buildings, the use of building information models made from these documents is examined in

this study. In these buildings, apart from the design documents, from routine work of facilities management, repair

records printed in paper are generated in large quantities and accumulate every year, but are left uncared for. These

data has a utility value for improving future facilities management. In the maintenance of facilities, whenever

malfunctions and troubles happen, treatments are ex post facto conducted. It is useful for constructing an effective

maintenance cycle to predict these troubles beforehand. To achieve the above-mentioned goal, by linking repair

records to building information models, the system for predicting the renewal date of the components of building,

which used the spatial or network relationship among the components of building information models, was

constructed.

Tsukuba University’s repair records for buildings were collected for the analyses. After the items and each entry

content were confirmed, the information written in the repair records was input into a spreadsheet. About inputted

data, simple totaling was carried out based on reported consultations and the building name in order to gain an

understanding of the characteristics of the collected documents. Based on the result of the totaling, consultation

contents and buildings for the analyses were determined.

Next, attempts were made to calculate the time between problems of the building components via multiple

regression analyses. A Door and an air conditioner and lamp bulb, fluorescent lamp were treated as a case study. The

time between problems of the target class was selected as an objective variable. These values were acquired by

confirming the dates written in the entry columns for a building or a room. Explanatory variables were acquired from

BIM data along with other materials. Whenever possible, original paper documents will be used to create the BIM

data used in our method. Three methods of data acquisition from building information models were conducted in this

study. The first method used the attribute information of the object, which was determined when it was located. The

second method used the attribute information of the object, which was determined when some objects including it

were located. The third method used the inclusion relations between a room and other classes.

The forced entry method was adopted for the analyses. Because the calculations were conducted in phases, we

classified the cases based on the kind of objective variables or sample group or whether room-based explanatory

variables were added.

As for two cases (door, lamp bulb and fluorescent lamp) which used a room-based objective variable and data group

B, the adjusted R-squared value got higher by adding the explanatory variables acquired from BIM data. However,

because the R-squared value itself is low in these cases, improving the regression model is necessary in order to use it

for the prediction. About the explanatory variables acquired from BIM data, the floor at which the door is located

(Door) and the number of lighting fixtures (Lamp bulb, Fluorescent lamp) were statistically significant in data group

B. And from the interview to engineers, the utility value for considering the extension of the time between troubles

was pointed out in these variables.

EFFICIENT FACILITIES MANAGEMENT USING EXISTING DESIGN DOCUMENTS CONVERTED

TO BUILDING INFORMATION MODELS

A case study of calculating time between troubles of building components based on repair records

Michio MATSUBAYASHI

and Shun WATANABE

＊ _{JSPS Research Fellow, Dept. of Policy and Planning Sciences, Graduate School of Systems and Information Engineering, Univ. of Tsukuba} ＊＊ _{Prof., Division of Policy and Planning Sciences, Faculty of Engineering, Information and Systems, Univ. of Tsukuba, Ph. D. in Eng.}