知的照明システムにおける各執務者に関する照明の影響範囲が照度収束速度および消費電力に及ぼす影響

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(1)Vol.2014-ICS-176 No.5 2014/7/22. ৘ใॲཧֶձ‫ڀݚ‬ใࠂ IPSJ SIG Technical Report. ஌తর໌γεςϜʹ͓͚Δ֤ࣥ຿ऀʹؔ͢Δ র໌ͷӨ‫ڹ‬ൣғ͕র౓ऩଋ଎౓͓Αͼফඅిྗʹ‫͢΅ٴ‬Ө‫ڹ‬ ࡾ໦ ޫൣ1,a). ொా ‫ޛܒ‬2,b). ୩‫ ޱ‬෢2. ؒ തਓ1. ֓ཁɿஶऀΒ͸ΦϑΟεʹ͓͍ͯࣥ຿ऀ͕‫ݸ‬ผʹཁ‫͢ٻ‬Δ໌Δ͞Λ࠷খͷফඅిྗͰ࣮‫͢ݱ‬Δ஌తর໌γ εςϜΛ‫ڀݚ‬։ൃ͍ͯ͠Δɽ஌తর໌γεςϜͰ͸ɼর໌ͱর౓ηϯαͷԕۙؔ܎ʢর౓/ޫ౓Ө‫౓ڹ‬ʣʹ ᮢ஋Λઃ͚Δ͜ͱͰɼর໌Λর౓ηϯαʹର͢ΔӨ‫ڹ‬ͷେ͖͞Ͱ 3 छྨʢ͍ۙɼ΍΍͍ۙɽԕ͍ʣʹ෼ྨ ͢Δɽͦͷ෼ྨʹΑΓɼϥϯμϜʹมߋ͢Δর໌ޫ౓ͷมԽύλʔϯΛܾఆ͠ɼ໨ඪর౓ʹ୹࣌ؒͰऩଋ ͠ɼ͔ͭిྗ࠷খͱͳΔ఺౮ύλʔϯͷ୳ࡧΛߦ͏ɽຊ‫Ͱڀݚ‬͸ɼর໌ͱর౓ηϯαͷԕۙؔ܎ʹઃ͚Δ ͜ͷᮢ஋͕ɼ໨ඪর౓ʹऩଋ͢Δ࣌ؒͳΒͼʹిྗ࠷খԽʹ༩͑ΔӨ‫ڹ‬Λ‫͢ূݕ‬Δͱͱ΋ʹɼᮢ஋Λ࿦ཧ తʹܾఆ͢ΔΞϧΰϦζϜΛఏҊ͢Δɽैདྷͷख๏͸‫ݧܦ‬తʹ‫ݻ‬ఆ஋ʹ͍ͯ͠Δᮢ஋ʹର͠ɼຊΞϧΰϦ ζϜͰ͸໨ඪর౓ͷऩଋঢ়‫͔گ‬Βಈతʹܾఆ͢Δɽैདྷͷख๏ͱൺֱ͠ɼఏҊͨ͠ख๏͸໨ඪর౓ΛΑΓ ୹࣌ؒͰ࣮‫͠ݱ‬ɼ͔ͭফඅిྗͷ͞ΒͳΔ࡟‫ݮ‬Λୡ੒͢Δ͜ͱΛ֬ೝͨ͠ɽ. 1. ͸͡Ίʹ. ஌తর໌γεςϜͰ͸ɼর໌ͱর౓ηϯαͷԕۙؔ܎ ʢর౓/ޫ౓Ө‫౓ڹ‬ʣʹᮢ஋Λઃ͚Δ͜ͱͰɼর໌Λর౓η. ۙ೥ɼిྗίετͷ௿‫ݮ‬΍‫΁ڥ؀‬ͷ഑ྀͱ͍ͬͨ‫͔఺؍‬. ϯαʹର͢ΔӨ‫ڹ‬ͷେ͖͞Ͱ 3 छྨʢ͍ۙɼ΍΍͍ۙɼԕ. ΒফඅΤωϧΪʔΛ࡟‫͢ݮ‬ΔऔΓ૊Έ͕ߦΘΕ͓ͯΓɼΦ. ͍ʣʹ෼ྨ͢Δɽͦͷ෼ྨʹΑͬͯɼϥϯμϜʹมߋ͢Δ. ϑΟεʹ͓͍ͯ΋লΤωϧΪʔੑͷ޲্͕޿͘‫ݕ‬౼͞Εͯ. র໌ޫ౓ͷมԽͷׂ߹Λܾఆ͢Δɽ͜ΕʹΑΓ໨ඪর౓΁. ͍ΔɽΦϑΟεʹ͓͚Δর໌ͷফඅిྗ͸શମͷ͓Αͦ 40. ୹࣌ؒͰऩଋ͢Δͱͱ΋ʹɼిྗ͕࠷খͱͳΔ఺౮ύλʔ. %Λ઎Ί͓ͯΓ [1]ɼর໌‫ڥ؀‬Λվળ͢Δ͜ͱͰɼফඅిྗ. ϯΛ୳ࡧ͢Δɽ͔͠͠ɼর౓/ޫ౓Ө‫ʹ౓ڹ‬ઃ͚Δᮢ஋ͷ. Λେ͖͘࡟‫͠ݮ‬লΤωϧΪʔʹߩ‫͢ݙ‬Δ͜ͱ͕Ͱ͖Δ [2]ɽ. ҧ͍͕ɼর౓ऩଋ଎౓ͳΒͼʹফඅిྗͷऩଋ଎౓΁༩͑. ·ͨɼΦϑΟε‫͕ࣥڥ؀‬຿ऀʹ‫͢΅ٴ‬Ө‫ؔ͢ʹڹ‬Δ‫͕ڀݚ‬. ΔӨ‫ڹ‬͸ৄ͘͠‫͞ূݕ‬Ε͓ͯΒͣɼ‫ࡏݱ‬͸‫ݧܦ‬తʹ஋͕ܾ. ޿͘ߦΘΕ͓ͯΓɼΦϑΟε‫ڥ؀‬Λվળ͢Δ͜ͱʹΑΓɼ. ఆ͞Ε͍ͯΔɽͦ͜Ͱຊ‫Ͱڀݚ‬͸ɼর໌ͱর౓ηϯαͷԕ. ஌తੜ࢈ੑ͕޲্͢Δ͜ͱ͕ใࠂ͞Ε͍ͯΔ [2]ɽதͰ΋ɼ. ۙؔ܎ʹઃ͚Δᮢ஋͕໨ඪর౓ʹऩଋ͢Δ࣌ؒͳΒͼʹి. ΦϑΟεͷর໌‫ʹڥ؀‬஫໨ͨ͠‫Ͱڀݚ‬͸ɼࣥ຿ʹ࠷దͳ໌. ྗ࠷খԽʹ͔͔Δ࣌ؒʹ༩͑ΔӨ‫ڹ‬Λ‫͢ূݕ‬Δɽ·ͨɼै. Δ͞ʢর౓ʣΛఏ‫͢ڙ‬Δ͜ͱ͕ࣥ຿ऀͷ஌తੜ࢈ੑͷ޲্. དྷͷख๏͸‫ݧܦ‬తʹ‫ݻ‬ఆ஋ʹ͍ͯ͠Δᮢ஋ʹର͠ɼ໨ඪর. ʹͭͳ͕Δ͜ͱ͕ใࠂ͞Ε͍ͯΔ [3]ɽ. ౓ͷऩଋঢ়‫͔گ‬Βᮢ஋Λಈతʹܾఆ͢Δख๏ΛఏҊ͢Δɽ. ͜ͷΑ͏ͳഎ‫ܠ‬ΑΓɼզʑ͸ɼࣥ຿ʹ࠷దͳর౓Λ‫ݸ‬ผʹ ఏ‫͢ڙ‬Δ͜ͱ͕Մೳͳ஌తর໌γεςϜΛఏҊ͍ͯ͠Δ [4]ɽ. 2. ஌తর໌γεςϜ. ‫ͦʹط‬ͷ༗ޮੑ͕ೝΊΒΕ౦‫͓಺౎ژ‬Αͼ෱Ԭͷෳ਺ͷ࣮. 2.1 ஌తর໌γεςϜͷ֓ཁ. ΦϑΟεʹ͓͍ͯ‫ߦ͕ݧ࣮ূݕ‬ΘΕ͍ͯΔ [5], [6], [7], [8]ɽ. ஌తর໌γεςϜ͸র౓ηϯα͕ઃஔ͞Εͨ৔ॴʹɼཁ. ࣮ΦϑΟεʹ͓͍ͯඞཁͳ৔ॴʹඞཁͳর౓Λఏ‫͢ڙ‬Δ͜. ‫͞ٻ‬Εͨর౓Λ࠷খ‫ݶ‬ͷফඅిྗͰ࣮‫͢ݱ‬ΔγεςϜͰ͋. ͱʹ੒ޭ͠ɼ͔ͭߴ͍লΤωϧΪʔੑΛ࣮‫[ ͨ͠ݱ‬8]ɽ. Δɽਤ 1 ʹࣔ͢Α͏ʹɼর໌‫۩ث‬ɼর౓ηϯαɼిྗηϯ. 1. α͓ΑͼͦΕΒΛͭͳ͙ωοτϫʔΫ͔Βߏ੒͞Ε͍ͯΔɽ. 2. a) b). ಉࢤࣾେֶཧ޻ֶ෦ɼ‫౎ژ‬෎ Department of Science and Engineering, Doshisha University, tataramiyakodani 1–3, Kyotanabe-shi, Kyoto, 610–0394 Japan ಉࢤࣾେֶཧ޻ֶ‫ڀݚ‬Պɼ‫౎ژ‬෎ Graduate School of Science and Engineering, Doshisha University [email protected] [email protected]. ⓒ 2014 Information Processing Society of Japan. র໌ʹ͸ 1 ୆͝ͱʹ੍‫ޚ‬ϓϩηοα͕౥ࡌ͞Ε͓ͯΓɼ֤ র໌͸ࣗ཯తʹಈ࡞͢Δɽ֤র໌͸র౓ηϯα͓Αͼిྗ ηϯα͔ΒऔಘͰ͖Δ৘ใ͔Βɼ࠷దԽख๏Λ༻͍ͯࣥ຿ ऀʹ‫ײ‬஌͞Εͳ͍ൣғ [10] Ͱޫ౓ΛมԽͤ͞Δɽ͜ΕΛ‫܁‬ Γฦ͢͜ͱͰɼࣥ຿ऀͷཁ‫͢ٻ‬Δর౓ΛলిྗͰ࣮‫͢ݱ‬Δɽ. 1.

(2) Vol.2014-ICS-176 No.5 2014/7/22. ৘ใॲཧֶձ‫ڀݚ‬ใࠂ IPSJ SIG Technical Report . . .

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(10) . ਤ 2. ஌తর໌γεςϜͷ੍‫ޚ‬ϑϩʔνϟʔτ. Fig. 2 Flow of the intelligent lighting system . gij =. ਤ 1 ஌తর໌γεςϜͷߏ੒. Fig. 1 Configuration of an intelligent lighting system. (Icj − Itj ) ≥ 0. 0 rij × (Icj − Itj ). 2. (Icj − Itj ) < 0 (3). 2.2 র໌ͱর౓ηϯαͷؔ܎ র౓ηϯα͔ΒಘΒΕΔর౓஋ͱর໌ͷޫ౓ͷؔ܎͸. i:র໌൪߸, j:ηϯα൪߸, ω:ॏΈ [W/lx2 ]. ࣜ (1) Ͱද͢͜ͱ͕Ͱ͖Δɽࣜ (1) ʹ͓͚Δ R ͸ɼ֤র໌. P :ফඅిྗ [W], Ic:‫ࡏݱ‬ͷর౓ [lx]. ͕র౓ηϯαʹ‫͢΅ٴ‬Ө‫͍߹౓ڹ‬Λઆ໌͢ΔࢦඪͰ͋Γɼ. It:໨ඪর౓ [lx], L:ޫ౓ [cd],. র໌‫͓ڥ؀‬ΑͼΦϑΟε಺ͷϨΠΞ΢τ͕มԽ͠ͳ͍‫ݶ‬. rij :র໌ i ͷޫ౓ͱর౓ηϯα j ͷর౓ͷճ‫( ࣜ ਺܎ؼ‬2). ΓɼR ͸ఆ਺ͱΈͳ͢͜ͱ͕Ͱ͖Δɽ஌తর໌γεςϜͰ ͸ɼর౓ηϯαͱর໌ͷؔ܎ੑΛࣔͨ͠ఆ਺ R Λর౓/ޫ. ʹࣔ͢໨తؔ਺͸ɼ෦԰શମͷফඅిྗ P ͱর౓੍໿ gij. ౓Ө‫ݺͱ਺܎౓ڹ‬ΜͰ͍Δɽ. ͔Βߏ੒͞Εɼ֤র໌ຖʹ‫͢ࢉܭ‬Δɽ஌తর໌γεςϜͰ. E = RI. (1). E:ޫ౓ [cd], I:র౓ [lx]. ͸ɼ੍໿৚݅Ͱ͋Δ֤র౓ηϯαͷ໨ඪর౓ʹؔ͢Δϖφ ϧςΟ gij ͱফඅిྗͷ࿨Λ࠷খԽ͢ΔΑ͏ಈ࡞͢Δɽ஌ తর໌γεςϜͷ੍‫ޚ‬ϑϩʔνϟʔτΛਤ 2 ʹࣔ͢ɽ. R:র౓/ޫ౓Ө‫ ਺܎౓ڹ‬ʦlx/cdʧ র౓/ޫ౓Ө‫౓ڹ‬ͷࢉग़ํ๏͸ɼΦϑΟεͷ‫ܗ‬ଶʹΑͬ ͯ 2 ͭʹ෼ྨ͞ΕΔɽର޲ౡ‫ܕ‬ͷΦϑΟεͳͲ‫ج‬ຊతʹ੮ ͷมߋ͕ͳ͍ΦϑΟεʹ͓͍ͯ͸ɼࣄલʹর໌Λ 1 ౮ 1 ౮ ఺౮ͤ͞ɼͦͷͱ͖ಘΒΕͨর౓஋͔Βࢉग़͢Δɽ͔͠͠ɼ ‫ص‬Λࣗ༝ʹಈ͔ͤΔ‫ڥ؀‬΍‫ڞ‬ಉ‫Ͳͳص‬ɼ੮͕‫ݻ‬ఆ͞Ε͓ͯ Βͣɼর౓ηϯα͕Ҡಈ͢ΔՄೳੑ͕͋ΔΦϑΟε‫Ͱڥ؀‬ ͸ɼর౓/ޫ౓Ө‫౓ڹ‬Λಈతʹಋग़͢Δඞཁ͕͋Δɽ͜ͷ Α͏ͳ৔߹ɼ஌తর໌γεςϜ͸ৗʹর໌ͷ໌Δ͞Λਓͷ ໨Ͱ͸‫ײ‬஌Ͱ͖ͳ͍ൣғͰಈ͔͠ଓ͚ΔͨΊɼͦͷޫ౓ͷ มԽྔͱর౓ͷมԽྔ͔Βճ‫ؼ‬෼ੳʹΑΓಈతʹর౓/ޫ ౓Ө‫౓ڹ‬Λਪఆ͢Δ [9]ɽ. 2.4 ࣍ޫ౓ੜ੒ʹ༻͍Δর౓/ޫ౓Ө‫ʹ౓ڹ‬ઃ͚Δᮢ஋ʹ ؔ͢Δ໰୊఺ ஌తর໌γεςϜͰ͸ɼর໌ͷޫ౓ͱর౓ηϯαͰ‫ܭ‬ଌ ͞Εͨর౓ͷӨ‫͋Ͱ͍߹౓ڹ‬Δর౓/ޫ౓Ө‫ ʹ౓ڹ‬2 छྨ ͷᮢ஋Λઃ͚Δ͜ͱͰɼ1 ୆ͷর౓ηϯαʹର͢͠΂ͯͷ র໌Λ 3 छྨʢ͍ۙɼ΍΍͍ۙɼԕ͍ʣʹ෼ྨ͢Δɽͦͷ ᮢ஋͸ɼর໌ͷ഑ஔִؒɼ഑޲‫ۂ‬ઢɼಛੑʹΑΓ‫߹ʹڥ؀‬ Θͤมߋ͢Δඞཁ͕͋Δɽ͜ͷ෼ྨͳΒͼʹর౓ηϯαͷ ‫ࡏݱ‬র౓ͱ໨ඪর౓ʹΑͬͯɼ֤র໌͸ਤ 3 ʹࣔ͢ޫ౓ม Խ෯ͷ͍ͣΕ͔Λબ୒͢Δɽ֤র໌͸બ୒ͨ͠มԽͷൣғ ಺ʹ͓͍ͯɼϥϯμϜʹ஋Λܾఆ͠ɼͦͷׂ߹ʹΑͬͯࣗ ਎ͷޫ౓Λ૿‫͢ݮ‬Δɻ র౓/ޫ౓Ө‫౓ڹ‬ͷ෼ྨͱর౓ηϯαͷ໨ඪর౓΁ͷୡ. 2.3 র౓੍‫ޚ‬ΞϧΰϦζϜ ஌ త র ໌ γ ε ς Ϝ ͷ ੍ ‫ ʹ ޚ‬͸ ɼSimulated Annealing ʢSAʣΛ ‫ ج‬൫ ͱ ͠ ͨ ద Ԡ త ۙ ๣ Ξ ϧ ΰ Ϧ ζ Ϝ (Adap-. tive Neighborhood Algorithm using Regression CoefficientɿANA/RC[9]) Λ༻͍ΔɽదԠతۙ๣ΞϧΰϦζϜ. ੒ঢ়‫ʹگ‬ΑΔɼޫ౓มԽ෯ͷબ୒Λද 1 ʹࣔ͢ɽ͜ΕʹΑ Γɼ໌Δ͕͞ඞཁͳর౓ηϯαʹର͠ɼେ͖ͳӨ‫ڹ‬Λ࣋ͭ ͱ൑அ͞Εͨর໌͸‫͠ޫ૿͘ڧ‬ɼӨ‫ڹ‬ͷগͳ͍ͱ൑ఆ͞Ε ͨর໌͸‫ͤ͞ޫݮ‬Δ͜ͱ͕Ͱ͖ΔɽҰํɼ໌Δ͕͞ඞཁͷ. ʢANA/RCʣͰ͸ɼઃ‫ܭ‬ม਺Λ֤র໌ͷޫ౓ɼ੍໿৚݅Λ. ද 1. ޫ౓มԽ෯ͷબ୒. ֤র౓ηϯαͷ໨ඪর౓ͱ͠ɼ໨తؔ਺Λর໌શମͷফඅ. Table 1 Selection of luminance variation width. ిྗͱ͢Δ࠷దԽ໰୊Λ֤র໌͝ͱʹࣗ཯෼ࢄతʹղ͍ͯ. ‫ࡏݱ‬র౓͕. ͍ۙর໌. ΍΍͍ۙর໌. ԕ͍র໌. ໨ඪর౓ΑΓߴ͍. ऑ‫ޫݮ‬. ‫ޫݮڧ‬. ‫ޫݮڧ‬. ໨ඪর౓ΑΓ௿͍. ‫ޫ૿ڧ‬. ऑ૿ޫ. ‫ޫݮڧ‬. ऩଋҬ಺. தཱ. ऑ‫ޫݮ‬. ‫ޫݮڧ‬. ͍Δɽ֤র໌ͷ໨తؔ਺͸ࣜ (2) Ͱද͞ΕΔɽ n fi = P + ω × gij j=1. ⓒ 2014 Information Processing Society of Japan. (2). 2.

(11) Vol.2014-ICS-176 No.5 2014/7/22. ৘ใॲཧֶձ‫ڀݚ‬ใࠂ IPSJ SIG Technical Report.

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(16) . . . . . . . . . . . . . . . . ਤ 3 ࣍ޫ౓ੜ੒ʹ༻͍Δޫ౓ͷมԽ෯. ਤ 4. Fig. 3 Variation width of luminance for generating next lumi-. ࣮‫ڥ؀ݧ‬. Fig. 4 Experiment enviroment. nance. . . . . . . . . . . . . . . . . ͳ͍র౓ηϯαʹରͯ͠͸ɼӨ‫ڹ‬ͷগͳ͍ͱ൑ఆ͞Εͨর ໌͔Β‫͍ͯ͘͠ޫݮ‬ɽ͜ΕʹΑͬͯɼফඅిྗΛߟྀͨ͠ ఺౮ύλʔϯΛ࣮‫͢ݱ‬Δ͜ͱ͕Ͱ͖Δɽ͜ͷΑ͏ʹɼর໌ ͷޫ౓มԽͷํ޲ʹॏΈΛ࣋ͨͤΔ͜ͱͰΑΓ୹͍࣌ؒͰ ໨ඪর౓Λຬͨ͢ͱͱ΋ʹɼ࠷దͳ఺౮ύλʔϯΛޮ཰Α ͘୳ࡧ͢Δ͜ͱ͕Ͱ͖Δɽ ͜Ε·Ͱɼ஌తর໌γεςϜ͸࣮ূஈ֊ͱ͍͏͜ͱ΋͋ Γɼಋೖࣄྫ΋গͳ͔ͬͨͨΊɼ֤র໌Λ 3 छྨʹ෼ྨ͢.

(17). ΔͨΊͷর౓/ޫ౓Ө‫ʹ౓ڹ‬ઃ͚Δᮢ஋͸ɼͦͷ‫߹ʹڥ؀‬.

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(19) . ΘͤνϡʔχϯάΛߦ͍ͬͯͨɽ͔͠͠ͳ͕Βɼ2014 ೥ʹ ‫כ‬৔ொάϦʔϯϏϧσΟϯάʹ࣮༻Խ͞Εͨ͜ͱΛ͸͡Ί ͱ͠ɼࠓ‫ޙ‬ɼ஌తর໌γεςϜͷಋೖ݅਺͸৳ͼ͍ͯ͘ͱ ߟ͑ΒΕΔɽ͜ͷͱ͖ɼͦΕͧΕͷ‫͍͓ͯʹڥ؀‬ɼর໌ͷ. ਤ 5. ࣮‫͚͓ʹڥ؀ݧ‬Δর౓/ޫ౓Ө‫౓ڹ‬. Fig. 5 Illuminance/luminance influence at the experiment environment

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(21) . छྨɼಛੑɼ഑ޫ‫ۂ‬ઢɼ഑ஔִؒʹ߹Θͤͨᮢ஋ͷνϡʔ χϯάʹ͸࣌ؒͱίετ͕͔͔Δɽ ͦ͜Ͱɼຊ‫Ͱڀݚ‬͸ɼैདྷɼ‫ݧܦ‬తʹνϡʔχϯά͢Δ ͜ͱͰܾఆ͍ͯͨ͠র໌ͷ෼ྨʹ༻͍Δᮢ஋ʹؔ͠ɼ࿦ཧ తʹܾఆ͢Δख๏ΛఏҊ͢Δɽᮢ஋Λ࿦ཧతʹܾఆ͢Δͨ. . . .

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(26) . . Ίɼ·ͣɼࠓ·Ͱ‫ܥ‬౷తʹ‫͞ূݕ‬Ε͍ͯͳ͔ͬͨর౓/ޫ ౓Ө‫ʹ౓ڹ‬ઃ͚Δᮢ஋ɼ͢ͳΘͪর໌ͷর౓ηϯαʹର͢ Δ෼ྨͷҧ͍͕஌తর໌γεςϜͷর౓ऩଋ଎౓ͳΒͼʹ ফඅిྗʹ༩͑ΔӨ‫ڹ‬Λ‫͢ূݕ‬Δɽ. . . !

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(29) . 3. র໌ͷ෼ྨํ๏͕র౓ऩଋͳΒͼʹ ফඅిྗʹ༩͑ΔӨ‫ڹ‬ͷ‫ূݕ‬ 3.1 ࣮‫֓ݧ‬ཁ͓Αͼ‫ڥ؀‬. ਤ 6. ࣮‫Ͱڥ؀ݧ‬ͷর໌ͷ෼ྨྫ. Fig. 6 Example for classification of lighting at the experiment environment. ‫্ص‬໘ʹর౓ηϯαΛ̍୆഑ஔͨ͠‫͍͓ͯʹڥ؀‬র౓/. ΦϑΟεͰ࠾༻͞Ε͍ͯΔ 1.8 m ִؒͱͨ͠ɽ࣮‫ڥ؀ݧ‬Λ. ޫ౓Ө‫ʹ౓ڹ‬ઃ͚Δᮢ஋͕ɼ஌తর໌γεςϜͷর౓ऩଋ. ਤ 4 ʹࣔ͢ɽ·ͨɼਤ 4 ͷর౓ηϯαͷपล 16 ୆ͷর໌. ଎౓ͳΒͼʹফඅిྗʹ༩͑ΔӨ‫ڹ‬Λௐ΂ͨɽௐޫ౓Λ 20. ʹ͓͚Δর౓/ޫ౓Ө‫౓ڹ‬Λਤ 5 ʹࣔ͢ɽ. %͔Β 100 %·ͰมߋՄೳͳγϟʔϓ੡ന৭ LED র໌ʢ࠷. ຊ࣮‫Ͱݧ‬͸લड़ͨ͠Α͏ʹᮢ஋Λ 2 छྨ༻͍Δ͜ͱͰɼ. େ఺౮ޫ౓ɿ1400 cdʣΛ༻͍ͯর౓/ޫ౓Ө‫౓ڹ‬Λଌఆɼ. র౓ηϯαʹର͠ɼর໌Λ͍ۙɼ΍΍͍ۙɼԕ͍ͷ 3 छྨ. ͜ΕΛ΋ͱʹɼॎ 7 ʷԣ 7 ‫ݸ‬র໌Λ഑ஔͨ͠γϛϡϨʔ. ʹ෼ྨ͢Δɽর໌Λ͍ۙͱ΍΍͍ۙʹ෼ྨ͢Δᮢ஋Λ಺ଆ. γϣϯ‫ڥ؀‬Λ࡞੒ͨ͠ɽর໌‫۩ث‬ͷ഑ஔִؒ͸ɼҰൠతͳ. ᮢ஋ʢinner-thresholdʣ ɼ΍΍͍ۙͱԕ͍ʹ෼ྨ͢Δᮢ஋Λ. ⓒ 2014 Information Processing Society of Japan. 3.

(30) Vol.2014-ICS-176 No.5 2014/7/22. ৘ใॲཧֶձ‫ڀݚ‬ใࠂ IPSJ SIG Technical Report. ֎ଆᮢ஋ʢouter-thresholdʣͱশ͢Δɽਤ 5 ΑΓর౓/ޫ౓ Ө‫౓ڹ‬ͷ஋͸࠷େ 0.18 lx/cdɼ࠷খ 0.00 lx/cd ͱͳΔͨΊɼ র໌ͷ෼ྨΛܾΊΔ 2 छྨͷᮢ஋͸͜ͷൣғʹઃ͚Δɽ͜ ͷ 2 छྨͷᮢ஋ʹؔ͠ɼ஋Λม͍͑ͯ͘͜ͱͰɼ஌తর໌ γεςϜͷর౓ऩଋ଎౓ͳΒͼʹফඅిྗʹ༩͑ΔӨ‫ڹ‬Λ ௐ΂ͨɽ ·ͨᮢ஋ΛมԽ͍ͤͯ͘͞ࡍɼ಺ଆᮢ஋ͱ֎ଆᮢ஋͕ॏ ͳͬͨ৔߹͸ɼൣғ಺ͷর໌͸͍ۙͱ෼ྨ͢Δɽͨͱ͑͹ɼ ͍ۙͱ΍΍͍ۙΛܾΊΔ಺ଆᮢ஋Λ 0.18 lx/cdɼ΍΍͍ۙ ͱԕ͍Λܾఆ͢Δᮢ஋Ͱ͋Δ֎ଆᮢ஋Λ 0.03 lx/cd ͱ͢Δ ͱਤ 6 ͷΑ͏ͳ෼ྨʹͳΔɽ ·ͨɼ࣮‫ݧ‬ύλʔϯͱͯ͠͸ɼ࠷খ఺౮ޫ౓͔Βޫ౓Λ. ਤ 7. ࠷খ఺౮ޫ౓͔Β࢝Ίͨ৔߹ͷর౓ཤྺ. Fig. 7 Illuminance history starting from minimum lighting luminance. ্͛Δ͜ͱͰ໨ඪর౓Λຬͨ͢ύλʔϯ 1 ͱ࠷େ఺౮ޫ౓ ͔Βޫ౓ΛԼ͛Δ͜ͱͰ໨ඪর౓Λຬͨ͢ύλʔϯ 2 ͱͷ. 2 ͭΛ‫͢ূݕ‬Δɽ࣮‫ݧ‬ύλʔϯ 1 ͷ໨ඪর౓͸ 700 lxɼ࣮ ‫ݧ‬ύλʔϯ 2 ͷ໨ඪর౓͸ 300 lx ͱ͢Δɽ. 3.2 ࣮‫݁ݧ‬Ռ ॳ‫఺ظ‬౮ޫ౓Λ࠷খ఺౮ޫ౓ͱ࣮ͨ͠‫ݧ‬ύλʔϯ 1 ʹ͓ ͚Δর౓ཤྺΛਤ 7 ʹফඅిྗཤྺΛਤ 8 ʹࣔ͢ɽਤ 7 ͷ র౓ཤྺͷ݁ՌΑΓ಺ଆᮢ஋ͳΒͼʹ֎ଆᮢ஋ͱ΋ʹ௿͍ ஋ʹઃఆ͢Δ΄Ͳ໨ඪর౓Λຬͨ͢ͷ͕଎͍͜ͱ͕Θ͔ Δɽ͜Ε͸ɼ2 ͭͷᮢ஋ͷ஋͕௿͍৔߹΄Ͳɼর౓ηϯα. ਤ 8 ࠷খ఺౮ޫ౓͔Β࢝Ίͨ৔߹ͷফඅిྗཤྺ. ʹର͠ɼ͍ۙɼ΍΍͍ۙͱ൑ఆ͢Δর໌͕૿͑Δ͜ͱͰɼ. Fig. 8 Power consumption history starting from minimum. ‫ޫ૿ڧ‬ͷมԽ෯Λબ୒͢Δর໌͕૿͑ͨͨΊͩͱߟ͑ΒΕ. lighting luminance. Δɽ·ͨɼ͍ۙͱ൑ఆ͞ΕΔর໌ͷํ͕΍΍͍ۙͱ൑ఆ͞ ΕΔর໌ΑΓ΋૿ޫͷ෯͕େ͖͍ۙ๣Λબ୒͢Δɽ͜ͷͨ. ຊ࣮‫ʹݧ‬Αͬͯɼর౓ऩଋʹ͓͍ͯ࠷దͳᮢ஋͸র౓Λ. Ίɼ͍ۙͱ൑ఆ͞ΕΔর໌͕࠷΋ଟ͘ͳΔ಺ଆᮢ஋=0.01ɼ. ্͛Δ৔߹ͱԼ͛Δ৔߹ͰτϨʔυΦϑͷؔ܎ʹͳͬͯ. ֎ଆᮢ஋=0.01 ͷͱ͖ɼ࠷΋଎͘໨ඪর౓΁ऩଋ͍ͯ͠Δɽ. ͍Δ͜ͱ͕Θ͔ͬͨɽ͞Βʹɼর౓ऩଋɼফඅిྗͷͲͷ. ·ͨɼ಺ଆᮢ஋=0.18ɼ֎ଆᮢ஋=0.18 ͷΑ͏ʹᮢ஋Λ૿Ճ. ݁Ռʹ͓͍ͯ΋ɼ࠷΋ऩଋͷ଎͔ͬͨͷ͸಺ଆᮢ஋ͳΒͼ. ͤͨ͞ͱ͖ɼ͍ۙͱ൑ఆ͞ΕΔর໌͕গͳΓɼͦͷൣғ಺. ʹ֎ଆᮢ஋͕ॏͳΓ߹͍ͬͯΔ৔߹Ͱ͋ͬͨɽ͜ͷ݁Ռ͔. ͷর໌Λ࠷େ఺౮ʹͨ͠ͱͯ͠΋໨ඪর౓Λຬͨͤͳ͍ɽ. Βɼর໌ͷ෼ྨ͸ɼᮢ஋Λ 1 ͭ༻͍ͯর໌Λ͍ۙͱԕ͍ͷ. র౓ऩଋʹର͠ɼফඅిిྗ͸ਤ 8 ͷ݁ՌΑΓɼ಺ଆᮢ. 2 छྨͰ෼ྨ͢Ε͹ྑ͍͜ͱ͕Θ͔ͬͨɽ·ͨɼর౓ΛԼ. ஋ͳΒͼʹ֎ଆᮢ஋ͱ΋ʹߴ͍஋ʹઃఆ͢Δ΄Ͳऩଋ͕଎. ͛Δ৔߹ͳΒͼʹফඅిྗͷऩଋʹ͓͍ͯ͸ᮢ஋Λߴ͘ઃ. ͘ͳΔɽ͜Ε͸ɼᮢ஋ͷ஋͸ߴ͘͢Δ΄Ͳɼൺֱతඞཁ౓. ఆ͢Δ͜ͱͰऩଋ͕଎͘ͳΔ͕ɼਤ 7 ͷ threshold=0.18ɼ. ͷߴ͍র໌ͷΈ͕ൣғ಺ʹ࢒ΓɼͦΕΒͷর໌ͷΈ͕૿ޫ. ֎ଆᮢ஋=0.18 ͷ৔߹ͷΑ͏ʹɼ͍ۙͱ൑ఆ͞Εͨর໌Λ. ͷมԽ෯Λબ୒͢ΔͨΊͩͱߟ͑ΒΕΔɽ. ࠷େ఺౮ʹͨ͠ͱͯ͠΋໨ඪর౓Λຬͨͤͳ͘ͳΔ͜ͱ͕. ࣍ʹॳ‫఺ظ‬౮ޫ౓Λ࠷େ఺౮ޫ౓ͱ࣮ͨ͠‫ݧ‬ύλʔϯ 2 ͷর౓ཤྺΛਤ 9 ʹফඅిྗཤྺΛਤ 10 ʹࣔ͢ɽ஌తর ໌γεςϜͰ͸ɼফඅిྗΛߟྀ͢ΔͨΊর౓ΛԼ͛Δ৔. ͋ͬͨɽ͜ͷͨΊɼ࠷దͳᮢ஋͸໨ඪর౓ʹΑͬͯ΋มΘ Δ͜ͱ͕Θ͔Δɽ. ౓ཤྺͷΑ͏ʹɼ಺ଆᮢ஋ͳΒͼʹ֎ଆᮢ஋ͱ΋ʹߴ͍஋. 4. র౓ηϯαʹର͢Δর໌ͷ෼ྨΛՄมʹ͠ ͨ஌తর໌γεςϜ. ʹઃఆ͠ɼ͍ۙɼ͍ۙর໌Λগͳ͘͢Δ΄Ͳ‫ޫݮ‬ͷมԽ෯. 4.1 ֓ཁ. ߹ɼԕ͍র໌͔Βޫ౓ΛԼ͍͛ͯ͘ɽ͜ͷͨΊɼਤ 9 ͷর. Λબ୒͢Δর໌͕૿͑ΔͨΊɼ໨ඪর౓Λຬͨ͢ͷ͕଎͘. લઅʹ͓͚Δ࣮‫ݧ‬ͷ݁Ռ͔Βɼর౓ͳΒͼʹফඅిྗʹ. ͳΔɽ·ͨɼಉ༷ͷཧ༝͔Βফඅిྗʹؔͯ͠΋ᮢ஋Λߴ. ͓͍ͯ࠷΋ऩଋ଎౓ͷྑ͔ͬͨ෼ྨํ๏Λද 2 ʹࣔ͢ɽ. ͍஋ʹઃఆ͠ɼ΍΍͍ۙɼ͍ۙর໌Λগͳ͘͢Δ΄Ͳফඅ. ஌తর໌γεςϜ͸ɼϢʔβͷշదੑΛ্͛ΔͨΊͷγε. ిྗͷऩଋ͕ૣ͘ͳ͍ͬͯΔ͜ͱ͕ਤ 10 ͔Β֬ೝ͢Δ͜. ςϜͰ͋ΔͨΊɼর౓ͷऩଋΛ༏ઌతʹߟ͑Δɽ͔͠͠ͳ. ͱ͕Ͱ͖Δɽ. ͕Βɼද 2 ΑΓর౓ऩଋʹ͓͍ͯɼর౓Λ্͛Δ৔߹ͱԼ. ⓒ 2014 Information Processing Society of Japan. 4.

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(35) . . ਤ 11. র໌ͷ෼ྨΛՄมʹͨ͠஌తর໌γεςϜͷϑϩʔ. Fig. 11 Flow of the intelligent lighting system which classification of lighting is variable ਤ 9. ࠷େ఺౮ޫ౓͔Β࢝Ίͨ৔߹ͷর౓ཤྺ. Fig. 9 Illuminance history starting from maximum lighting lu-. Δ৚݅ΛҎԼʹࣔ͢ɽ. ( 1 ) র౓Λ্͛Δඞཁ͕͋Δ৔߹ɼͦͷর໌Λ 100 %ͨ͠. minance. ͱ͖ 10 lx Ҏ্ͷর౓͕ಘΒΕΔ. ( 2 ) র౓ΛԼ͛Δඞཁ͕͋Δ৔߹ɼͦͷর౓ηϯαͷ໨ඪ র౓Λ࠷খͷর໌਺Ͱຬͨ͢ͷʹඞཁͰ͋Δ ͜ͷͨΊɼఏҊ͢ΔγεςϜͰ͸ɼ஌తর໌γεςϜΛಈ ࡞ͤ͞Δલʹɼ໨ඪর౓͝ͱʹɼͦͷ໨ඪর౓Λຬͨͨ͢ Ίʹඞཁͳর໌਺ͷ‫ݶ‬քΛ‫ٻ‬Ί͓ͯ͘ඞཁ͕͋Δɽᮢ஋Λ Մมʹ͢Δ஌తর໌γεςϜͷϑϩʔνϟʔτΛਤ 11 ʹ ࣔ͢ɽ ෼ྨΛর౓ηϯαͷ໨ඪর౓ͳΒͼʹর౓ऩଋঢ়‫ʹگ‬ ΑͬͯՄมʹ͢ΔγεςϜͷಈ࡞ྫΛࣔ͢ɽর౓ηϯα͸. 2 ୆഑ஔ͠ɼ໨ඪর౓ͳΒͼʹ‫ࡏݱ‬র౓Λද 3 ʹࣔ͢ɽ͜ ਤ 10. ࠷େ఺౮ޫ౓͔Β࢝Ίͨ৔߹ͷফඅిྗཤྺ. Fig. 10 Power consumption history starting from maximum lighting Lluminance. ͷ࣌ɼ2 ୆ͷর౓ηϯαʹର͢Δ෼ྨ͸ਤ 12 ͷΑ͏ʹͳ ΔɽsensorA ͷর౓ηϯα͸‫ࡏݱ‬র౓͕໨ඪর౓Λ্ճͬ ͍ͯΔͨΊɼ໨ඪর౓ΛຬͨͤΔ࠷খͷর໌͕͍ۙͱ൑ఆ. ͛Δ৔߹͸ɼੑೳ͕τϨʔυΦϑͷؔ܎ʹͳͬͯ͠·͏ɽ. ͞ΕΔɽsensorB ͸໨ඪর౓Λຬ͍ͨͯ͠ͳ͍ͨΊɼ࠷େ. ͜ͷͨΊɼैདྷͷᮢ஋Λ‫ݻ‬ఆͰ༻͍Δ৔߹Ͱ͸ɼͦͷੑೳ. ఺౮ޫ౓Ͱ఺౮ͨ͠ͱ͖ 10 lx Ҏ্ͷর౓ΛಘΔর໌͕ۙ. ʹภΓ͕ੜ·Εͯ͠·͏ɽͦ͜Ͱɼর౓ঢ়‫ͳگ‬Βͼʹ໨ඪ. ͍ͱ൑ఆ͞ΕΔɽ. র౓͔Βɼᮢ஋Λબ୒͍ͯ͘͠ᮢ஋Մม‫ܕ‬ͷ஌తর໌γε. ͜ͷঢ়ଶʹ͓͍ͯর౓ऩଋ‫ʹޙ‬ɼsensorA ͷ໨ඪর౓Λ มߋͨ࣌͠ͷ໨ඪর౓ͳΒͼʹ‫ࡏݱ‬র౓Λද 4 ʹࣔ͢ɽ. ςϜΛఏҊ͢Δɽ. ͜ͷ࣌ͷ෼ྨ݁ՌΛਤ 13 ʹࣔ͢ɽsensorA ͸໨ඪর౓ ͕มߋ͞Εɼর౓͕໨ඪর౓Λ্ճ͍ͬͯΔͨΊɼ෼ྨ͞. 4.2 ᮢ஋બ୒ͷΞϧΰϦζϜ ֤র໌͸࣍ޫ౓Λੜ੒͢Δલʹࣗ෼ʹ͍ۙর౓ηϯαͷ த͔Β࠷΋໨ඪর౓ͱͷ͕ࠩ͋Δর౓ηϯαʹର੍͠‫ޚ‬Λ ߦ͏ɽ͜ͷࡍɼैདྷͷγεςϜͰ͸ࣗ෼ʹ͍͔ۙͲ͏͔ͷ. ΕΔর໌͸ɼ໨ඪর౓Ͱ͋Δ 300 lx ΛຬͨͤΔ࠷খͷর໌ ද 3. ໨ඪর౓Λมߋલͷ‫ࡏݱ‬র౓ͳΒͼʹ໨ඪর౓. Table 3 Current illuminance and target illuminance before. ൑ఆΛ‫ݻ‬ఆʹ͍͕ͯͨ͠ɼຊΞϧΰϦζϜͰ͸֤র౓ηϯ. changing target illuminance. αͷऩଋঢ়‫ʹگ‬Αͬͯͦͷ൑ఆΛมߋ͢Δɽ. ໨ඪর౓. ‫ࡏݱ‬র౓. sensorA. 500 lx. 600 lx. sensorB. 700 lx. 600 lx. র໌͕֤র౓ηϯαͷর౓ঢ়‫ʹگ‬Α͍ͬͯۙͱ൑ఆ͞Ε ද 2 ऩଋ଎౓ͷ࠷΋ૣ͔ͬͨর໌ͷ෼ྨͷํ๏. Table 2 Classification method of Lighting which is the best convergence speed. ද 4. ໨ඪর౓Λมߋͨ͠‫ޙ‬ͷ‫ࡏݱ‬র౓ͳΒͼʹ໨ඪর౓. Table 4 Current illuminance and target illuminance after র౓ΛԼ͛Δ৔߹. র౓Λ্͛Δ৔߹. র౓ऩଋ. ໨ඪর౓Λຬͨ͢ͷʹ ࠷௿‫ݶ‬ඞཁͳর໌. ࠷େ఺౮ޫ౓Ͱ 10 lx Ҏ্ ͷর౓͕ͰΔর໌. ফඅిྗ. ໨ඪর౓Λຬͨ͢ͷʹ ࠷௿‫ݶ‬ඞཁͳর໌. ໨ඪর౓Λຬͨ͢ͷʹ ࠷௿‫ݶ‬ඞཁͳর໌. ⓒ 2014 Information Processing Society of Japan. changing target illuminance ໨ඪর౓. ‫ࡏݱ‬র౓. sensorA. 300 lx. 500 lx. sensorB. 700 lx. 700 lx. 5.

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(37). ਤ 12. ໨ඪর౓ͷมߋલʹ͍ۙͱ൑ఆ͞Εͨর໌. Fig. 12 Lighting determined close before changing target illu-. ਤ 14.

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(39) . ఏҊख๏ͱैདྷख๏Λൺֱ͢ΔͨΊͷ࣮‫ڥ؀ݧ‬. Fig. 14 Experiment environment comparing proposal and conventional method. minance. . ਤ 13. ਤ 15. ໨ඪর౓ͷมߋ‫ͱ͍ۙʹޙ‬൑ఆ͞Εͨর໌. Fig. 13 Lighting determined close after changing target illuminance. ͷΈͱͳΔɽsensorB ͸໨ඪর౓Λຬͨͨͨ͠Ίɼ໨ඪর. Fig. 15. র౓ηϯα B ͷর౓ཤྺ ɹ Illuminance history of sensorB. 5.2 ࣮‫݁ݧ‬Ռ. ౓Ͱ͋Δ 700 lx ΛຬͨͤΔ࠷খͷর໌ͷΈ͕બ୒͞ΕΔɽ. ໨ඪর౓͕ 700 lx Ͱ͋Δর౓ηϯα B ͷর౓ऩଋཤྺ. 5. র໌ͷ෼ྨΛՄมʹͨ͠஌తর໌γεςϜ ͷऩଋ࣮‫ݧ‬. ΋ऩଋ଎౓͕଎͍݁Ռͱൺֱ͠ɼఏҊ͢ΔγεςϜ͸΄΅. 5.1 ࣮‫֓ݧ‬ཁ͓Αͼ‫ڥ؀‬. ཤྺΛਤ 16 ʹࣔ͢ɽর౓ηϯα B ͷর౓ऩଋ଎౓͕࠷΋. Λਤ 15 ʹࣔ͢ɽ͜ͷ݁ՌΑΓɼᮢ஋Λ‫ݻ‬ఆʹͨ͠৔߹ͷ࠷ ಉ౳ͷ଎͞Ͱऩଋ͍ͯ͠Δ͜ͱ͕Θ͔Δɽ·ͨফඅిྗͷ. ৽ͨʹఏҊ͢Δর໌ͷ෼ྨΛՄมʹͨ͠஌తর໌γες. ૣ͔ͬͨ‫ݻ‬ఆᮢ஋Λ༻͍ͨ݁Ռ͸ɼফඅిྗͷऩଋʹ͸࣌. Ϝͱैདྷͷ‫ݻ‬ఆʹͨ͠஌తর໌γεςϜͷಈ࡞ൺֱ࣮‫ݧ‬Λ. ͕͔͔͍ؒͬͯΔͷʹର͠ɼᮢ஋Մม‫ܕ‬͸ᮢ஋Λ‫ݻ‬ఆʹ͠. ߦ͏ɽ࣮‫ڥ؀ݧ‬͸ɼલষͰߦ࣮ͬͨ‫ͱݧ‬ಉ༷ͷγϛϡϨʔ. ͨͱ͖ͷ࠷΋ফඅిྗͷ଎͔ͬͨ݁Ռͱಉ౳ͷ݁Ռͱͳͬ. γϣϯ‫ڥ؀‬Λ༻͍ɼͦ͜ʹর౓ηϯαΛ 6 ୆഑ஔͨ͠ɽর. ͍ͯΔ͜ͱ͕Θ͔Δɽ. ౓ηϯαͷ഑ஔͳΒͼʹ໨ඪর౓Λਤ 14 ʹࣔ͢ɽ·ͨɼఏ. Ҏ্ͷ݁ՌΑΓɼఏҊ͢Δᮢ஋Մม‫ܕ‬͸ैདྷͷᮢ஋Λ‫ݻ‬. Ҋ͢Δর໌ͷ෼ྨΛՄมʹͨ͠஌తর໌γεςϜͰ͸ɼࣄ. ఆ͢Δख๏ΑΓর౓ऩଋੑ͓Αͼফඅిྗͷऩଋੑʹ͓͍. લʹ͢΂ͯͷর౓ηϯαʹର͠ɼ໨ඪর౓͝ͱʹͦͷর౓. ͯɼ༏Ε͍ͯΔͱߟ͑ΒΕΔɽ. Λຬͨ͢‫ݶ‬քͷᮢ஋Λ‫ͨ͠ࢉܭ‬ɽ. ⓒ 2014 Information Processing Society of Japan. 6.

(40) Vol.2014-ICS-176 No.5 2014/7/22. ৘ใॲཧֶձ‫ڀݚ‬ใࠂ IPSJ SIG Technical Report. J. of the Illuminating Engineering Societyɼpp.131142(2000)ɽ [4]. ιʔγΞϜʡ ɼਓ޻஌ೳֶձࢽɼ22(3)ɼpp.399-410(2007)ɽ. . [5].

(41) . ࡾ໦ ޫൣɼʠ஌తর໌γεςϜͱ஌తΦϑΟε‫ڥ؀‬ίϯ ླ໦ਅཧࢠɼࡾ໦ޫൣɼాத৻‫ޗ‬ɼ٢‫ݟ‬ਅ૱ɼத઒໌඙ɼ ᜊ౻ರࢠɼ෱ాຑҥࢠɼ ʠΦϑΟε಺ϑϨʔϜΛ༻͍ͨ ஌తর໌γεςϜͷߏங (ΦϑΟεΠϯϑΥϝʔγϣϯ. . γεςϜɼe-ϏδωεϞσϦϯάɼಛूֶੜ࿦จ)ʡɼి ࢠ৘ใ௨৴ֶձ࿦จࢽ. D ৘ใɾγεςϜɼ95(3)ɼpp.. 549-558(2012)ɽ [6]. খ໺‫ࢠܠ‬ɼࡾ໦ޫൣɼ٢‫ݟ‬ਅ૱ɼ੢ຊཾੜɼۙߐ఩໵ɼ଍ ཱ޺ɼळాխढ़ɼּ‫ݪ‬ՂߒɼʠLed র໌Λ༻͍ͨ஌తর. ਤ 16. ໌γεςϜͷ࣮ΦϑΟε΁ͷಋೖʡɼి‫ֶؾ‬ձ࿦จࢽ. A,. ফඅిྗཤྺ. Fig. 16 History of power consumption. ‫ૅج‬ɾࡐྉɾ‫ڞ‬௨෦໳ࢽ= Thetransactions of the Insti-. tute of Electrical Engineers of Japan. AɼA publication of Fundamentalsand Materials Societyɼ131(5)ɼpp.321-. 6. Ή͢ͼ. 327(2011)ɽ [7]. ࡾ໦ޫൣɼՃိ࢙໵ɼኍ҆஌೭ɼ٢‫ݟ‬ਅ૱ɼాத৻‫ޗ‬ɼ୩. ຊ‫Ͱڀݚ‬͸ɼ஌తর໌γεςϜʹ͓͍ͯɼैདྷɼ‫ݧܦ‬త. ᖒ३Ұɼ੢ຊཾੜɼ ʠ࣮ΦϑΟε‫͚͓ʹڥ؀‬Δ೚ҙͷ৔. ʹܾఆ͍ͯͨ͠র౓/ޫ౓Ө‫ʹ౓ڹ‬ઃ͚Δᮢ஋Λɼ࿦ཧత. ॴʹϢʔβ͕ཁ‫͢ٻ‬Δর౓Λఏ‫͢ڙ‬Δ஌తর໌γεςϜ. ʹܾఆ͢Δख๏ΛఏҊͨ͠ɽैདྷͷᮢ஋Λ‫ݻ‬ఆͰ༻͍Δख. ͷߏங (৘ใɾγεςϜ‫)ૅج‬ʡ ɼిࢠ৘ใ௨৴ֶձ࿦จࢽ.. ๏Ͱ͸ɼͦͷᮢ஋ʹΑͬͯɼর౓ऩଋͱফඅిྗͷऩଋ͕ τϨʔυΦϑͷؔ܎ͱͳ͍ͬͯͨɽ͜ͷͨΊɺর౓ηϯα. Dɼ৘ใɾγεςϜɼ94(4)ɼpp. 637-645(2011)ɽ [8]. େֶ๏ਓಉࢤࣾେֶɼ‫ࣜג‬ձࣾࡾҪ෺࢈ઓུ‫ॴڀݚ‬. ฏ. ͷ໨ඪর౓ͱর౓ঢ়‫߹ʹگ‬ΘͤͯՄมʹ͢Δ͜ͱͰɼর౓. ੒ 20 ೥౓ʙฏ੒ 22 ೥౓੒ՌใࠂॻΤωϧΪʔ࢖༻߹ཧ. ऩଋͳΒͼʹফඅిྗͷऩଋʹؔ͠ɼैདྷख๏ΑΓૣ͘ऩ. Խٕज़ઓུత։ൃ/ΤωϧΪʔ༗ޮར༻‫ج‬൫ٕज़ઌಋ‫ڀݚ‬. ଋ͢Δख๏ΛఏҊͨ͠ɽຊख๏Λ༻͍Δ͜ͱʹΑΓɼैདྷ. ։ൃ/ࣗ཯෼ࢄ࠷దԽΞϧΰϦζϜΛ༻͍ͨলΤω‫ܕ‬র໌. ख๏ͷর౓ऩଋͳΒͼʹফඅిྗͷ࠷΋ޮ཰తͳਪҠͱ΄. γεςϜͷ‫ڀݚ‬։ൃɼTechnical Report 20110000000875, ಠཱߦ੓๏ਓ৽ΤωϧΪʔɾ࢈‫ٕۀ‬ज़૯߹։ൃ‫ߏػ‬, 4 ݄. ΅ಉ౳ͷ੍‫݁ޚ‬ՌΛಘΔ͜ͱ͕Ͱ͖ͨɽ͜ͷ݁Ռ͔Βɼࠓ. ฏ੒ 23 ೥ɽ. ·Ͱ஌తর໌γεςϜͷ࡞੒ऀ͕‫ݧܦ‬తʹ‫ݻ‬ఆͷ஋ʹܾΊ ͍ͯͨর౓/ޫ౓Ө‫౓ڹ‬ͷᮢ஋ʹؔ͠ɼຊख๏Λ༻͍Δ͜. [9]. ཱࣗ෼ࢄ࠷దԽΞϧΰϦζϜʡ ɼর໌ֶձ શࠃେձߨԋ࿦. ͱͰɼΑΓޮ཰తͳಈ࡞Λ͢Δᮢ஋Λ࿦ཧతʹܾఆ͢Δ͜ ͱ͕Մೳͱͳͬͨɽ͔͠͠ɼैདྷͷᮢ஋Λ‫ݻ‬ఆʹ͢Δख๏ ͱൺֱ͠ɼఏҊ͢Δख๏Ͱ͸ɼর౓ηϯα͕͍ۙҐஔʹ഑ ஔ͞Εɼ໨ඪর౓ʹ͕ࠩ͋Δ৔߹ɼ௿͍໨ඪর౓Λཁ‫͢ٻ‬. ‫ޙ‬౻࿨޺ɼ ʠ஌తর໌γεςϜͷͨΊͷճ‫਺܎ؼ‬Λ༻͍ͨ จूɼ40ɼpp.123-124(2007)ɽ. [10]. ࣛ૔ஐ໌ɼ৿઒޺೭ɼதଜ๕थɼ ʠΦϑΟεর໌‫͚͓ʹڥ؀‬Δ ໌Δ͞มಈ஌֮ʹؔ͢Δ‫ڀݚ‬ʡɼJ.Illum.Engng.Inst.Jpnɼ. 85(5)ɼpp.346-351(2001)ɽ. Δর౓ηϯαʹෆརͳ৚݅ͱͳ͍ͬͯΔɽࠓ‫ޙ‬ͷ՝୊ͱ͠ ͯ͸ɼ͜͏͍ͬͨ৔߹ʹ͓͚Δಈ࡞‫͕ূݕ‬ඞཁͱͳΔͱߟ ͑ΒΕΔɽ ࢀߟจ‫ݙ‬ [1]. ࡒ ஂ ๏ ਓ ল Τ ω ϧ Ϊ ʔ η ϯ λ ʔ ɼʠ Φ ϑ Ο ε Ϗ ϧ ʹ ͓ ͚ Δ র ໌ ͷ ফ අ Τ ω ϧ Ϊ ʔ ൺ ཰ ʡɼ. http://www.eccj.or.jp/office bldg/01.html [2]. େྛ ࢙໌ɼ෌ా ࿨޺ɼ෰෦ ᘯࢠ, Տ಺ ඒࠤɼԼా ޺ɼ ੴҪ ༟߶ɼࣉ໺ ਅ໌ɼ٢઒ᒇ࿨ɼʠΦϑΟεϫʔΧͷϓ ϩμΫςΟϏςΟվળͷͨΊͷ‫ޚ੍ڥ؀‬๏ͷ‫ ڀݚ‬ʖ র໌ ੍‫ޚ‬๏ͷ։ൃͱ࣮‫ݧ‬తධՁʡ ɼώϡʔϚϯΠϯλʔϑΣʔ εγϯϙδ΢Ϝɼ1(1322)ɼpp.151-156(2006)ɽ. [3]. P. BoyceɼN. EklundɼN. Simpsonɼʠindividual Lighting Control Task Performance, Mood, and Illuminanceʡ ɼ. ⓒ 2014 Information Processing Society of Japan. 7.

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