<?xml version="1.0" encoding="iso-8859-1"?>
<RlxLum>
<general>
<version>2</version>
<application>TRILUX LIS - Leuchten-Informationssystem</application>
<language>07</language>
<checksum>#8&amp;6yDMeRj%7q2VV</checksum>
</general>

<luminaire>
<OrderNumber>7920562</OrderNumber>
<Manufacturer>TRILUX</Manufacturer>
<Name>SFlow-Act D3-L MRW LED4000 ETDD8 LLWS 01 (ActDWW) ETDD8</Name>
<ProdGroup>0</ProdGroup>
<ProdGroupTxt lang="07">SFlow</ProdGroupTxt>
<ProdGroupTxt lang="09">SFlow</ProdGroupTxt>
<ProdGroupTxt lang="21">SFlow</ProdGroupTxt>
<ProdGroupTxt lang="12">SFlow</ProdGroupTxt>
<ProdGroupTxt lang="16">SFlow</ProdGroupTxt>
<ProdGroupTxt lang="19">SFlow</ProdGroupTxt>
<ProdGroupTxt lang="10">SFlow</ProdGroupTxt>
<BallastType>510</BallastType>
<BallastTypeTxt lang="07">mit elektronischem Transformator, digital dimmbar, Dali</BallastTypeTxt>
<BallastTypeTxt lang="09">with digitally dimmable electronic transformer, Dali</BallastTypeTxt>
<BallastTypeTxt lang="21">z transformatorem elektronicznym z cyfrowa funkcja przyciemniania, Dali</BallastTypeTxt>
<BallastTypeTxt lang="12">avec transformateur électronique, dimmable numériquement (DALI).</BallastTypeTxt>
<BallastTypeTxt lang="16">con trasformatore elettronico, dimmerabile digitale, Dali</BallastTypeTxt>
<BallastTypeTxt lang="19">Met elektronische transformator, digitaal dimbaar, DALI</BallastTypeTxt>
<BallastTypeTxt lang="10">con transformador digital electrónico regulable (DALI)</BallastTypeTxt>
<Power>36.00</Power>
<LumFlowCorr>1.0</LumFlowCorr>
<LumText lang="07">SFlow-Act D3-L MRW LED4000 ETDD8 LLWS 01 (TOC 7920562):
LED-Anbauleuchte für Einzel- oder Lichtbandanwendungen. Leuchte mit Active-Ausstattung zur Steuerung der Lichtfarbe mittels separatem Steuergerät. Mit integriertem LiveLink Sensor zum Anschluss an ein LiveLink Steuergerät zur tageslichtabhängigen Regelung und Anwesenheitserfassung. LiveLink Sensor IR Micro zur tageslichtabhängigen Regelung und Anwesenheitserfassung. Konstantlichtregelung mit Abschaltfunktion bei ausreichendem Tageslicht. Passiv-Infrarot-Anwesenheitssensor, mit hochsensiblem multisegment Pyrosensoren, mit einstellbarer Ausschaltverzögerungszeit, wahlweise im Automatik Betrieb (automatisch Ein, automatisch Aus) oder Halbautomatik Betrieb (automatisch Aus, manuell Ein). Spezieller IQ-Modus zur automatischen Anpassung der Nachlaufzeit an die Raumnutzung. Elektrische Versorgung über die DALI Schnittstelle des Steuergerätes. Belegt 2 DALI Teilnehmer. Quadratische Erfassung, Erfassungsquadrate Präsenz max. 4 m x 4 m (16 m²) / Radial max. 4 m x 4 m (16 m²) / Tangential max. 6 m x 6 m (36 m²) bei einer empfohlenen Montagehöhe von 2,8 m, zulässige Montagehöhe 2,5 m bis 4 m. Anbauleuchte für die Deckenmontage. Mit separat zu bestellendem Einbau-Zubehör auch für die Verwendung in Paneeldecken geeignet (SFlow ZBP L2). Für Paneeldecken im Modul 100. Mittels separat zu bestellendem Zubehör auch für die abgehängte Montage geeignet (ZS1P 2000). Optisches System in Micro-Reflektor-Technology (MRW) mit hocheffizienten Reflektorkammern aus weiß-poliertem Kunststoff für hohen Lichtkomfort und Effizienz. Mit zusätzlicher, im optischen System integrierten, klaren Abdeckscheibe für raumseitig flächenbündigen Abschluß und Schutz der LED. Dezente seitliche Lichtauskopplung über die gesamte Leuchtenlänge. Mit symmetrisch breit strahlender Lichtstärkeverteilung. Nachfolgende Angaben zum Leuchtenlichtstrom und der Systemanschlussleistung beziehen sich auf den Betrieb dieser Leuchte mit dynamisch einstellbarer Lichtfarbe (HCL) im Betriebsmodus Lichtfarbe warmweiß (2700 K). Bemessungslichtstrom 4000 lm, Bemessungsleistung 36,00 W, maximale Leuchten-Lichtausbeute 118 lm/W. Lichtfarbe variabel (warmweiß - tageslichtweiß), ähnlichste Farbtemperatur (CCT) variabel (2700 K - 6500 K), allgemeiner Farbwiedergabeindex (CRI) Ra &gt; 80. Mittlere Bemessungslebensdauer L80(tq 25 °C) = 50.000 h. Die Lichtquelle ist entsprechend der Ökodesign-Anforderungen (VO (EU) 2019/2020) austauschbar. Leuchtenkörper aus Stahlblech. (RAL 9016). Maße (L x B): 1473 mm x 84 mm, Leuchtenhöhe 57 mm. Schutzklasse (EN 61140): I, Schutzart (DIN EN 60529): IP20, Stoßfestigkeitsgrad nach IEC 62262: IK03, Prüftemperatur Glühdrahttest gemäß IEC 60695-2-11: 650 °C. Gewicht: 4,4 kg. Mit elektronischem Betriebsgerät zum schalten, dimmen und steuern der Lichtfarbe mittels DALI Device Type 8 fähigem Steuergerät. Betriebsgerät gemäß DALI-2-Standard (EN 62386). Das Betriebsgerät ist entsprechend der Ökodesign-Anforderungen (VO (EU) 2019/2020) austauschbar. Das Produkt erfüllt die grundlegenden Anforderungen der anwendbaren EU-Richtlinien und des Produktsicherheitsgesetzes und trägt die CE-Kennzeichnung.</LumText>
<LumText lang="09">SFlow-Act D3-L MRW LED4000 ETDD8 LLWS 01 (TOC 7920562):
Surface-mounted LED luminaire for single use or trunking applications. Luminaire with Active equipment for controlling light colour via separate control unit. With integrated LiveLink sensor for connecting to a LiveLink control unit, for daylight-dependent control and presence detection. LiveLink sensor IR Micro for daylight-dependent control and presence detection. Constant light control with switch-off function with sufficient daylight. Passive infrared presence sensor, with high-sensitivity multi-segment pyro-sensors, settable switch-off delay time, optionally in automatic mode (automatic on, automatic off) or semi-automatic mode (automatic off, manual on). Special IQ mode for automatic adaptation of delay time to room use. Electrical supply via the DALI interface of the control unit. Occupies 2 DALI devices. Square detection zone, detection squares for presence max. 4 m x 4 m (16 m2) / radial max. 4 m x 4 m (16 m²) / tangential max. 6 m x 6 m (36 m²) at recommended mounting height of 2,8 m, permissible mounting height 2.5 m to 4 m. Surface-mounted luminaire for ceiling mounting. With separately ordered installation accessories also suitable for use in strip ceilings (SFlow ZBP L2). For strip ceilings in module 100. Also suitable for suspended mounting by means of accessories to be ordered separately (ZS1P 2000). Optical system with micro reflector technology (MRW) with highly efficient reflector chambers of white polished plastic for high light comfort and efficiency. With additional clear cover integrated in the optical system, flush fits on the room side and protects the LEDs. Discreet lateral light emission over the complete luminaire length. With symmetric wide light intensity distribution. The following information on luminaire luminous flux and power consumption of the system refer to operation of this luminaire with dynamic, settable light colour (HCL) in warm white light colour (2700 K) operating mode. Luminaire luminous flux 4000 lm, connected load 36,00 W, luminous efficiency of luminaire 111 lm/W. Light colour variable (warm white - daylight white), correlated colour temperature (CCT) variable (2700 K - 6500 K), general colour rendering index (CRI) Ra &gt; 80. Mean rated service life L80(tq 25 °C) = 50,000 h. The light source is replaceable according to the ecodesign requirements (VO (EU) 2019/2020). Luminaire body sheet steel. (RAL 9016). Dimensions (L x W): 1473 mm x 84 mm, luminaire height 57 mm. Safety class (EN 61140): I, protection rating (DIN EN 60529): IP20, impact resistance level in accordance with IEC 62262: IK03, testing temperature of wire glow test in accordance with IEC 60695-2-11: 650 °C. Weight: 4,4 kg. With electronic control gear unit for switching, dimming and controlling the light colour using DALI Device Type 8-capable control unit. Control gear unit according to DALI-2 standard (EN 62386). The control gear unit is replaceable in accordance with the ecodesign requirements (VO (EU) 2019/2020). The luminaire complies with the fundamental requirements of applicable EU regulations and product safety legislation and bears the CE symbol.</LumText>
<LumText lang="21">SFlow-Act D3-L MRW LED4000 ETDD8 LLWS 01 (TOC 7920562):
Diodowa oprawa do nabudowania do zastosowania pojedynczego lub w ciagu swietlnym. Oprawa z wyposazeniem Active do sterowania barwa swiatla za pomoca osobnego sterownika. Wbudowany czujnik LiveLink do podlaczania do sterownika LiveLink, do regulacji zaleznie od swiatla dziennego i do detekcji ruchu. Czujnik LiveLink IR Micro do regulacji zaleznie od swiatla dziennego i do detekcji obecnosci. Stala regulacja swiatla z funkcja wylaczania przy dostatecznym swietle dziennym. Bierny czujnik obecnosci na podczerwien z wielosegmentowymi czujnikami piroelektrycznymi o wysokiej czulosci, ustawiany czas opóznienia wylaczenia, do wyboru tryb automatyczny (automatyczne wl./wyl.) lub pólautomatyczny (automatyczne wyl., reczne wl.). Specjalny tryb IQ do automatycznego dostosowania czasu opóznienia do eksploatacji pomieszczenia. Zasilanie elektryczne przez zlacze DALI sterownika. Zajmuje 2 urzadzenia DALI. Rejestracja w kwadracie, zasieg rejestracji w kwadracie maks. 4 m x 4 m (16 m²) / promieniscie maks. 4 m x 4 m (16 m²) / przekatnie maks. 6 m x 6 m (36 m²) przy zalecanej wysokosci montazowej 2,8 m, dopuszczalna wysokosc montazowa od 2,5 do 4 m. Oprawa do nabudowania do montazu sufitowego. Z zamawianymi oddzielnie akcesoriami montazowymi nadaje sie równiez do montazu w sufitach panelowych (SFlow ZBP L2). Do sufitów panelowych w module 100. Z zamawianymi oddzielnie akcesoriami montazowymi nadaje sie równiez do montazu zwieszanego (ZS1P 2000). System optyczny w technologii mikroodblysników (MRW) z wysokowydajnymi komorami odblysnikowymi z tworzywa sztucznego polerowanego na bialo zapewniajacy wysoki komfort oswietlenia i wydajnosc. Z dodatkowa zintegrowana z systemem optycznym przezroczysta szybka chroniaca diody i zamykajaca oprawe na równi z powierzchnia montazu. Dyskretny boczny wylot swiatla na calej dlugosci oprawy. Z symetrycznym, szerokim rozsylem swiatla. Ponizsze informacje dotyczace strumienia swietlnego oprawy i poboru mocy zestawu odnosza sie do pracy tej oprawy z regulowana dynamicznie barwa swiatla (HCL) w trybie pracy cieplej bieli (2700 K). Strumien swietlny oprawy 4000 lm, pobór mocy 36,00 W, skutecznosc swietlna oprawy 111 lm/W. Barwa swiatla zmienne (biala ciepla – biale swiatlo dzienne), temperatura barwowa zmienna (2700 K – 6500 K), ogólny wskaznik oddawania barw (CRI) Ra &gt; 80. Sredni okres trwalosci znamionowej L80(tq 25 °C) = 50.000 h. Zródlo swiatla jest wymiennE zgodnie z wymogami ekoprojektu (rozporzadzenie (UE) 2019/2020). Korpus oprawy z blachy stalowej. (RAL 9016). Wymiary (dl. x szer.): 1473 mm x 84 mm, wysokosc oprawy 57 mm. Klasa ochronnosci (EN 61140): I, stopien ochrony (DIN EN 60529): IP20, stopien odpornosci na uderzenia wedlug IEC 62262: IK03, temperatura badania rozzarzonym drutem zgodnie z IEC 60695-2-11: 650 °C. Masa: 4,4 kg. Z elektronicznym zasilaczem do przelaczania, sciemniania i regulacji barwy swiatla za pomoca sterownika obslugujacego urzadzenia DALI typu 8. Urzadzenie sterujace zgodne ze standardem DALI-2 (EN 62386). Zasilacz jest wymienny zgodnie z wymogami ekoprojektu (rozporzadzenie (UE) 2019/2020). Produkt spelnia podstawowe wymogi odnosnych dyrektyw UE i niemieckiej ustawy o bezpieczenstwie produktów i posiada oznaczenie CE.</LumText>
<LumText lang="12">SFlow-Act D3-L MRW LED4000 ETDD8 LLWS 01 (TOC 7920562):
Plafonnier à LED pour applications individuelles ou applications en ligne continue. Luminaire avec équipement Active pour la commande de la température de couleur au moyen d’un dispositif de commande séparé. Avec capteur LiveLink intégré pour le raccordement à un dispositif de commande LiveLink pour la régulation en fonction de la lumière du jour et la détection de présence. Capteur LiveLink IR Micro pour un réglage en fonction de la lumière du jour et pour la détection de présence. Réglage de lumière constante avec fonction de coupure si la lumière du jour est suffisante. Capteur infrarouge passif doté de capteurs pyroélectriques multisegments, à durée de temporisation de coupure réglable, au choix en mode automatique (automatique Allumé, automatique Éteint) ou en mode semi-automatique (automatique Éteint, manuel Allumé). Mode spécial IQ permettant d’adapter automatiquement la temporisation d’extinction à l’utilisation de l’espace. Alimentation électrique via l’interface DALI du dispositif de commande. Affectation de 2 participants DALI. Détection quadratique, carrés de détection de présence 4 m x 4 m maximum (16 m²)/plan radial 4 m x 4 m maximum (16 m²)/plan tangentiel 6 m x 6 m maximum (36 m²) pour une hauteur de montage recommandée de 2,8 m, hauteur de montage admissible entre 2,5 m et 4 m. Plafonnier pour montage au plafond. Convenant également à des plafonds à lames grâce à des accessoires d’encastrement à commander séparément (SFlow ZBP L2). Pour les plafonds à lames dans le module 100. Convenant également à une version suspendue grâce à des accessoires à commander séparément (ZS1P 2000). Système optique en Micro Reflector Technology (MRW) avec compartiments du réflecteur, très efficaces en plastique poli blanc pour un confort lumineux et une efficacité élevés. Avec plaque de recouvrement supplémentaire, intégrée au système optique assurant une fermeture en affleurement par le dessous et la protection des LED. Découplage discret de la lumière, latéral sur toute la longueur du luminaire. À répartition symétrique extensive des intensités lumineuses. Les indications suivantes relatives au flux lumineux du luminaire et à la puissance raccordée du système valent pour un fonctionnement de ce luminaire à une température de couleur au réglage dynamique (HCL) et fonctionnant à une température de couleur blanc chaud (2 700 K). Flux lumineux du luminaire 4000 lm, puissance raccordée 36,00 W, rendement lumineux du luminaire 111 lm/W. Teinte de lumière variable (blanc chaud - blanc lumière du jour), température de couleur (CCT) variable (2 700 K - 6 500 K), indice général de rendu des couleurs (IRC) Ra &gt; 80. Durée de vie assignée moyenne L80(tq 25 °C) = 50.000 h. La source lumineuse est remplaçable conformément aux exigences d&apos;écoconception (Règlement (UE) 2019/2020). Corps de luminaire en tôle d’acier. (RAL 9016). Dimensions (L x l): 1473 mm x 84 mm, hauteur du luminaire 57 mm. Classe électrique (EN 61140) : I, indice de protection (norme EN 60529) : IP20, degré de résistance aux chocs selon la norme CEI 62262 : IK03, température d’essai au fil incandescent selon la norme CEI 60695-2-11 : 650 °C. Poids: 4,4 kg. À driver dimmable pour la commutation, la gradation et la commande de la température de couleur au moyen d’un dispositif de commande DALI de type 8. Appareillage conf. au standard DALI 2 (EN 62386). L&apos;appareillage est remplaçable conformément aux exigences d&apos;écoconception (Règlement (UE) 2019/2020). Le produit répond aux exigences essentielles des directives européennes applicables et de la loi sur la sécurité des produits et porte le marquage CE.</LumText>
<LumText lang="16">SFlow-Act D3-L MRW LED4000 ETDD8 LLWS 01 (TOC 7920562):
Apparecchio LED a plafone per applicazioni singole o in fila continua. Apparecchio con equipaggiamento Active per la gestione del colore della luce mediante unità di controllo separata. Con sensore LiveLink integrato da collegare a un&apos;unità di controllo LiveLink per la regolazione in funzione della luce diurna e la rilevazione di presenza. Sensore LiveLink IR Micro per la regolazione in funzione della luce diurna e la rilevazione di presenza. Regolazione di luce costante con funzione di spegnimento alla presenza di sufficiente luce diurna. Rilevatore di presenza passivo a infrarossi, con pirosensori multisegmento ad alta sensibilità, con ritardo disinserzione regolabile, a scelta in modo Automatico (inserimento e disinserimento automatici) o Semiautomatico (disinserimento automatico, inserimento manuale). Lo specifico modus IQ consente l&apos;adeguamento automatico del programma di prolungamento esercizio in modo di utilizzare al meglio lo spazio. Alimentazione elettrica mediante l&apos;interfaccia DALI dell&apos;unità di comando. Occupa 2 utenze DALI. Campo di rilevazione quadrato, quadrato di rilevazione presenza di max. 4 m x 4 m (16 m²) / radiale max. 4 m x 4 m (16 m²) / tangenziale max. 6 m x 6 m (36 m²) ad un&apos;altezza di montaggio consigliata di 2,8 m, altezza di montaggio ammissibile 2,5 - 4 m. Apparecchio a plafone per il montaggio a soffitto. Con accessori per l&apos;incasso da ordinare separatamente, adatto anche all&apos;impiego in soffitti a doghe (SFlow ZBP L2). Per soffitti a doghe in modulo 100. Con accessori da ordinare separatamente, adatto anche al montaggio in sospensione (ZS1P 2000). Sistema ottico con Micro Reflector Technology (MRW) con celle del riflettore in materiale sintetico lucidato in bianco e altamente efficienti, a garantire un elevato comfort di illuminazione ed efficienza. Con diffusore di copertura trasparente integrato in aggiunta nel sistema ottico per chiusura a filo verso il locale e protezione per i LED. Leggero disaccoppiamento laterale della luce per tutta la lunghezza dell&apos;apparecchio. Con distribuzione della luce a fascio largo simmetrico. I seguenti dati relativi al flusso luminoso apparecchio e alla potenza allacciata del sistema si riferiscono all&apos;esercizio di questo apparecchio con colore della luce a regolazione dinamica (HCL) in modalità colore della luce bianco caldo (2700 K). Flusso luminoso apparecchio 4000 lm, potenza assorbita 36,00 W, luminosità dell&apos;apparecchio 111 lm/W. Colore della luce variabile (bianco caldo - bianco luce diurna), temperatura del colore (CCT) variabile (2700 - 6500 K), indice di resa cromatica generale (CRI) Ra &gt; 80. Durata utile di riferimento media L80(tq 25 °C) = 50.000 h. La sorgente luminosa è intercambiabile conformemente ai requisiti previsti dal regolamento europeo Ecodesign (2019/2020). Corpo apparecchio in lamiera di acciaio. (RAL 9016). Dimensioni (L x P): 1473 mm x 84 mm, altezza apparecchio 57 mm. Classe di isolamento (EN 61140): I, grado di protezione (DIN EN 60529): IP20, grado di resistenza agli urti a norma IEC 62262: IK03, temperatura della prova al filo incandescente a norma IEC 60695-2-11 di 650 °C. Peso: 4,4 kg. Con alimentatore elettronico per la commutazione, il dimmeraggio e il controllo del colore della luce tramite unità di controllo compatibile con DALI Device Type 8. Alimentatore conforme allo standard DALI-2 (EN 62386). L&apos;alimentatore è intercambiabile conformemente ai requisiti previsti dal regolamento europeo Ecodesign (2019/2020). L&apos;apparecchio soddisfa i requisiti di base delle direttive Ue applicabili e della legge (tedesca) sulla sicurezza dei prodotti e reca il marchio CE.</LumText>
<LumText lang="19">SFlow-Act D3-L MRW LED4000 ETDD8 LLWS 01 (TOC 7920562):
Opbouwledarmatuur voor individueel gebruik of lichtlijntoepassingen. Armatuur met Active-uitrusting voor de regeling van de lichtkleur door middel van afzonderlijk stuurapparaat. Met geïntegreerde LiveLink-sensor voor aansluiting op een LiveLink-stuurapparaat voor daglichtafhankelijke regeling en aanwezigheidsdetectie. LiveLink-sensor IR Micro voor daglichtafhankelijke regeling en aanwezigheidsdetectie. Constantlichtregeling met uitschakeling bij voldoende daglicht. Passieve infrarood aanwezigheidssensor, met hooggevoelige gesegmenteerde pyrosensoren, met instelbare uitschakelvertraging, naar keuze in automatische modus (automatisch aan, automatisch uit) of halfautomatische modus (automatisch uit, handmatig aan). Speciale IQ-modus voor de automatische aanpassing van de uitschakelvertraging aan het gebruik van de ruimte. Elektrische voeding via de DALI-aansluiting van het stuurapparaat. Goed voor 2 DALI-deelnemers. Vierkant detectiebereik, aanwezigheidsdetectiebereik max. 4 m x 4 m (16 m²)/radiaal max. 4 m x 4 m (16 m²)/tangentieel max. 6 m x 6 m (36 m²) bij een aanbevolen montagehoogte van 2,8 m, toelaatbare montagehoogte 2,5 m tot 4 m. Opbouwarmatuur voor plafondmontage. Met afzonderlijk te bestellen inbouwtoebehoren ook geschikt voor gebruik in lamellenplafonds (SFlow ZBP L2). Voor lamellenplafonds met modulemaat 100. Met afzonderlijk te bestellen toebehoren ook geschikt voor pendelmontage (ZS1P 2000). Optisch systeem in Micro-Reflector-Technology (MRW) met uiterst efficiënte reflectorkamers van wit-gepolijste kunststof voor optimaal lichtcomfort. Met extra in het optische systeem geïntegreerde, transparante afdekschijf voor een vlakke afsluiting naar de ruimte en de bescherming van de led. Decente zijdelingse lichtuitkoppeling over de hele armatuurlengte. Met symmetrische brede lichtverdeling. De hierna genoemde gegevens met betrekking tot de armatuurlichtstroom en het opgenomen systeemvermogen gelden bij gebruik van de armatuur met dynamisch instelbare lichtkleur (HCL) met de lichtkleur warmwit (2700 K). Armatuurlichtstroom 4000 lm, aansluitvermogen 36,00 W, lichtrendement van de armatuur 111 lm/W. Lichtkleur variabel (warm wit - daglichtwit), kleurtemperatuur (CCT) variabel (2700 K - 6500 K), algemene kleurweergave-index (CRI) Ra &gt; 80. Gemiddelde opgegeven levensduur L80(tq 25 °C) = 50.000 h. De lichtbron kan vervangen worden overeenkomstig de eisen inzake ecologisch ontwerp (EU-Verordening 2019/2020). Armatuurbehuizing uit plaatstaal. (RAL 9016). Afmetingen (L x B): 1473 mm x 84 mm, armatuurhoogte 57 mm. Beschermcategorie (EN 61140): I, beschermklasse (DIN EN 60529): IP20, slagvastheid overeenkomstig IEC 62262: IK03, testtemperatuur gloeidraadtest conform IEC 60695-2-11: 650 °C. Gewicht: 4,4 kg. Met elektronisch voedingsapparaat voor het schakelen, dimmen en regelen van de lichtkleur door middel van een DALI Device Type 8-compatibele driver. Hulpapparaat volgens DALI-2-standaard (EN 62386). Het hulpapparaat kan vervangen worden overeenkomstig de eisen inzake ecologisch ontwerp (EU-Verordening 2019/2020). De armatuur voldoet aan de fundamentele eisen van de van toepassing zijnde EU-richtlijnen en de productveiligheidswet. Ze is voorzien van een CE-markering.</LumText>
<LumText lang="10">SFlow-Act D3-L MRW LED4000 ETDD8 LLWS 01 (TOC 7920562):
Luminaria LED de superficie para aplicaciones individuales o en línea continua. Luminaria con equipamiento Active para el control del color de luz a través de un dispositivo de mando separado. Con sensor LiveLink integrado para la conexión a un dispositivo de mando LiveLink para la regulación dependiente de la luz diurna y para la detección de presencia. Sensor LiveLink IR Micro para una regulación de la iluminación dependiente de la luz diurna y para la detección de presencia. Iluminación constante por regulación con función de desconexión en caso de suficiente luz diurna. Sensor de presencia infrarrojo pasivo, con sensores piroeléctricos multisegmentados y altamente sensibles, con tiempo de retardo de desconexión ajustable, para la operación opcional en el modo automático (encendido y apagado automáticos) o en el modo semiautomático (apagado automático, encendido manual). Modo IQ especial para un ajuste automático del tiempo de funcionamiento por inercia al uso del local. Alimentación eléctrica a través de la interface DALI del dispositivo de mando. Cubre 2 participantes DALI. Área de detección cuadrada, cuadrados de detección de presencia máx. 4 m x 4 m (16 m²) / radial máx. 4 m x 4 m (16 m²) / tangencial máx. 6 m x 6 m (36 m²) a una altura de montaje recomendada de 2,8 m, altura de montaje admisible de entre 2,5 m y 4 m. Luminaria de superficie para un montaje en techos. Con los accesorios para un montaje empotrado a pedir por separado también apto para el uso en techos de lamas (SFlow ZBP L2). Para techos de lamas en módulo 100. Con accesorios a pedir por separado es apta para un montaje suspendido (ZS1P 2000). Sistema óptico con Micro Reflektor Technology (MRW) con cámaras de reflector altamente eficientes de material sintético pulido de color blanco para un alto confort de iluminación y eficiencia. Con un recubrimiento claro adicional, integrado en el sistema óptico para una instalación al ras de la superficie en el lado del local y para la protección del LED. Desacoplamiento lateral y discreto de la luz a través de toda la longitud de la luminaria. Con una distribución extensiva y simétrica de las intensidades luminosas. Los siguientes datos sobre el flujo luminoso de las luminarias y de la potencia conectada del sistema se refieren a la operación de esta luminaria con un color de luz de ajuste dinámico (HCL) en el modo de servicio con un color de luz blanco cálido (2700 K). Flujo luminoso de las luminarias 4000 lm, potencia conectada 36,00 W, rendimiento luminoso de la luminaria 111 lm/W. Color de luz variable (color blanco cálido - color blanco luz diurna), temperatura del color (CCT) variable ( 2.700 K - 6.500 K), indice de reproducción cromática general (CRI) Ra &gt; 80. Vida útil nominal media L80(tq 25 °C) = 50.000 h. La fuente de luz puede ser sustituida acorde con los requisitos del diseño ecológico (VO (UE) 2019/2020). Cuerpo de luminaria de chapa de acero. (RAL 9016). Dimensiones (L x A): 1473 mm x 84 mm, altura de la luminaria 57 mm. Clase de protección (EN 61140): I, grado de protección (DIN EN 60529): IP20, grado de la resistencia al impacto según IEC 62262: IK03, temperatura de prueba para el ensayo de hilo incandescente según IEC 60695-2-11: 650 °C. Peso de: 4,4 kg. Con equipamiento electrónico para conmutar, regular y controlar el color de luz a través de un dispositivo de mando apto para DALI Device Type 8. Equipamiento eléctrico según el estándar DALI-2 (EN 62386). El equipamiento eléctrico puede sustituirse según los requisitos del diseño ecológico (VO (EU) 2019/2020). El producto cumple con los requisitos básicos de las directrices europeas aplicables y de la ley para la seguridad de aparatos y productos y lleva el marcado CE.</LumText>
<equipment><NumLamps>1</NumLamps>
<Power>36.00</Power>
<LightFlux>4000.00</LightFlux>
<ColorTemp>2700K           </ColorTemp>
<FWS_FWI>80</FWS_FWI>
</equipment>
<geometry><Length>1473</Length>
<Width>84</Width>
<Height>45</Height>
<LumLength>1410</LumLength>
<LumWidth>84</LumWidth>
<LumHeight0>5</LumHeight0>
<LumHeight90>5</LumHeight90>
<LumHeight180>5</LumHeight180>
<LumHeight270>5</LumHeight270>
</geometry>
<ldc><Type>EULUM</Type>
<File>TX299651.LDT</File>
<Data>![CDATA[TRILUX
2
4
144
2.5
73
2.5
215529B
SFlow-Act D3-L MRW LED4000 ETDD8 LLWS 01 (ActDWW)

TX299651
14.12.2015-Ebberg
1473
84
45
1410
84
5
5
5
5
99.17553
99.9762191772461
1
0
1
1
1 x LED ETDD8
4000
2700K           
80
36
.389223071736915
.502140586674438
.572413361895961
.657358093496322
.713111462995213
.769879603843079
.818473264826195
.857537380840755
.880877809469671
.905226460634247
0
2.5
5
7.5
10
12.5
15
17.5
20
22.5
25
27.5
30
32.5
35
37.5
40
42.5
45
47.5
50
52.5
55
57.5
60
62.5
65
67.5
70
72.5
75
77.5
80
82.5
85
87.5
90
92.5
95
97.5
100
102.5
105
107.5
110
112.5
115
117.5
120
122.5
125
127.5
130
132.5
135
137.5
140
142.5
145
147.5
150
152.5
155
157.5
160
162.5
165
167.5
170
172.5
175
177.5
180
182.5
185
187.5
190
192.5
195
197.5
200
202.5
205
207.5
210
212.5
215
217.5
220
222.5
225
227.5
230
232.5
235
237.5
240
242.5
245
247.5
250
252.5
255
257.5
260
262.5
265
267.5
270
272.5
275
277.5
280
282.5
285
287.5
290
292.5
295
297.5
300
302.5
305
307.5
310
312.5
315
317.5
320
322.5
325
327.5
330
332.5
335
337.5
340
342.5
345
347.5
350
352.5
355
357.5
0
2.5
5
7.5
10
12.5
15
17.5
20
22.5
25
27.5
30
32.5
35
37.5
40
42.5
45
47.5
50
52.5
55
57.5
60
62.5
65
67.5
70
72.5
75
77.5
80
82.5
85
87.5
90
92.5
95
97.5
100
102.5
105
107.5
110
112.5
115
117.5
120
122.5
125
127.5
130
132.5
135
137.5
140
142.5
145
147.5
150
152.5
155
157.5
160
162.5
165
167.5
170
172.5
175
177.5
180
476.2
479.3
480.6
482
478.7
476.1
474.2
471.4
468.6
458.7
452.2
448.4
456.6
463.2
443.7
380.8
291.1
267.8
234.8
145
85.7
72.6
63.3
54.9
46.2
37.9
30.1
23.7
18.2
14.2
11.1
8.5
6.5
4.8
3.5
2.4
1.4
1.2
1.2
1.2
1.2
1.2
1.2
1.3
1.3
1.3
1.3
1.5
1.7
2.1
2.4
2.4
2.3
2.1
1.9
1.6
1.7
1.7
1.6
1.6
1.5
1.5
1.5
1.4
1.4
1.3
1.2
1.1
1.1
1.1
1
1
1
476.2
479.34
480.65
482.12
478.78
476.23
474.16
471.65
468.81
458.82
452.39
448.28
456.11
464.04
444.97
382.71
291.93
265.21
236.27
149.17
85
71.43
63.16
54.92
46.24
37.94
30.14
23.72
18.21
14.19
11.09
8.51
6.5
4.8
3.49
2.39
1.41
1.19
1.19
1.19
1.2
1.2
1.2
1.29
1.29
1.29
1.3
1.5
1.7
2.1
2.39
2.4
2.3
2.1
1.89
1.61
1.7
1.7
1.6
1.6
1.52
1.5
1.5
1.4
1.4
1.3
1.2
1.1
1.1
1.1
1
1
1
476.2
479.38
480.7
482.23
478.87
476.4
474.14
471.97
469.1
459.16
452.76
448.34
455.64
464.85
446.65
385.74
294.52
263.45
237.62
154.23
85.8
71.05
63.25
55.06
46.39
38.07
30.24
23.79
18.25
14.18
11.08
8.53
6.5
4.81
3.48
2.38
1.41
1.18
1.18
1.18
1.21
1.21
1.21
1.28
1.27
1.27
1.3
1.5
1.7
2.1
2.37
2.4
2.31
2.11
1.87
1.62
1.7
1.7
1.6
1.6
1.53
1.5
1.51
1.4
1.41
1.3
1.21
1.1
1.1
1.1
1
1
1
476.2
479.41
480.75
482.34
478.98
476.6
474.13
472.35
469.47
459.7
453.32
448.57
455.17
465.64
448.74
389.91
298.86
262.52
238.84
160.18
88.1
71.47
63.57
55.33
46.64
38.27
30.41
23.9
18.32
14.19
11.08
8.54
6.5
4.81
3.46
2.36
1.41
1.16
1.16
1.16
1.21
1.21
1.21
1.26
1.26
1.26
1.3
1.5
1.7
2.1
2.36
2.4
2.31
2.11
1.86
1.64
1.7
1.7
1.6
1.6
1.55
1.5
1.51
1.4
1.41
1.3
1.21
1.1
1.1
1.1
1
1
1
476.2
479.44
480.8
482.43
479.1
476.83
474.14
472.8
469.9
460.46
454.06
448.98
454.7
466.39
451.22
395.21
304.95
262.42
239.95
167.03
91.9
72.68
64.12
55.73
46.99
38.57
30.64
24.06
18.42
14.22
11.08
8.56
6.5
4.81
3.44
2.34
1.41
1.14
1.14
1.14
1.21
1.21
1.21
1.24
1.24
1.24
1.3
1.5
1.7
2.1
2.34
2.4
2.31
2.11
1.84
1.66
1.7
1.7
1.6
1.6
1.57
1.5
1.51
1.4
1.41
1.3
1.21
1.1
1.1
1.1
1
1
1
476.2
479.47
480.85
482.52
479.24
477.1
474.16
473.32
470.41
461.42
454.99
449.55
454.25
467.11
454.11
401.64
312.8
263.15
240.93
174.77
97.2
74.69
64.89
56.25
47.44
38.94
30.94
24.26
18.54
14.25
11.09
8.58
6.5
4.8
3.42
2.32
1.41
1.12
1.12
1.12
1.2
1.2
1.2
1.22
1.22
1.22
1.3
1.5
1.7
2.1
2.32
2.4
2.3
2.1
1.82
1.68
1.7
1.7
1.6
1.6
1.58
1.5
1.5
1.4
1.4
1.3
1.2
1.1
1.1
1.1
1
1
1
476.2
479.5
480.9
482.6
479.4
477.4
474.2
473.9
471
462.6
456.1
450.3
453.8
467.8
457.4
409.2
322.4
264.7
241.8
183.4
104
77.5
65.9
56.9
48
39.4
31.3
24.5
18.7
14.3
11.1
8.6
6.5
4.8
3.4
2.3
1.4
1.1
1.1
1.1
1.2
1.2
1.2
1.2
1.2
1.2
1.3
1.5
1.7
2.1
2.3
2.4
2.3
2.1
1.8
1.7
1.7
1.7
1.6
1.6
1.6
1.5
1.5
1.4
1.4
1.3
1.2
1.1
1.1
1.1
1
1
1
476.2
479.48
480.88
482.45
479.43
477.6
474.27
474.32
471.44
464.47
457.61
451.97
454.35
467.35
461.69
420.08
338.82
271.99
235.82
188.25
120.85
86.21
67.17
57.48
48.62
39.89
31.65
24.72
18.85
14.36
11.12
8.59
6.5
4.79
3.38
2.29
1.37
1.09
1.09
1.08
1.19
1.19
1.19
1.18
1.2
1.2
1.3
1.5
1.7
2.1
2.3
2.4
2.28
2.08
1.8
1.72
1.7
1.7
1.6
1.6
1.59
1.5
1.48
1.4
1.38
1.3
1.18
1.1
1.1
1.1
1
1
1
476.2
479.45
480.85
482.29
479.48
477.79
474.38
474.73
471.89
466.34
459.14
453.68
454.9
466.63
465.29
430.15
355
280.54
231.19
192.88
136.94
94.93
68.86
58.3
49.36
40.48
32.09
25.01
19.04
14.45
11.14
8.58
6.5
4.77
3.37
2.27
1.34
1.07
1.07
1.07
1.18
1.18
1.17
1.17
1.21
1.2
1.31
1.51
1.71
2.11
2.3
2.41
2.27
2.07
1.79
1.74
1.7
1.71
1.6
1.61
1.57
1.5
1.47
1.41
1.37
1.31
1.17
1.1
1.1
1.11
1
1
1
476.2
479.39
480.8
482.1
479.54
477.97
474.54
475.12
472.37
468.2
460.7
455.41
455.45
465.63
468.19
439.39
370.96
290.36
227.9
197.31
152.27
103.66
70.97
59.36
50.23
41.17
32.62
25.37
19.29
14.57
11.19
8.58
6.5
4.76
3.35
2.26
1.31
1.06
1.06
1.05
1.16
1.16
1.16
1.15
1.21
1.2
1.31
1.51
1.71
2.11
2.3
2.41
2.25
2.05
1.79
1.76
1.7
1.71
1.6
1.61
1.56
1.5
1.45
1.41
1.35
1.31
1.15
1.1
1.1
1.11
1
1
1
476.2
479.32
480.75
481.89
479.61
478.15
474.75
475.5
472.86
470.07
462.28
457.18
456
464.36
470.39
447.82
386.67
301.44
225.95
201.52
166.84
112.4
73.49
60.67
51.23
41.98
33.26
25.81
19.58
14.72
11.24
8.58
6.5
4.74
3.33
2.24
1.28
1.04
1.04
1.03
1.14
1.14
1.14
1.13
1.21
1.2
1.31
1.51
1.71
2.11
2.3
2.41
2.23
2.03
1.79
1.78
1.7
1.71
1.6
1.61
1.54
1.5
1.43
1.41
1.33
1.31
1.13
1.1
1.1
1.11
1
1
1
476.2
479.22
480.68
481.65
479.7
478.33
475
475.86
473.37
471.94
463.88
458.97
456.55
462.82
471.89
455.42
402.15
313.79
225.35
205.51
180.65
121.15
76.44
62.21
52.35
42.89
33.98
26.32
19.92
14.89
11.32
8.59
6.5
4.72
3.32
2.22
1.24
1.02
1.02
1.02
1.12
1.12
1.12
1.12
1.2
1.2
1.3
1.5
1.7
2.1
2.3
2.4
2.22
2.02
1.8
1.79
1.7
1.7
1.6
1.6
1.52
1.5
1.42
1.4
1.32
1.3
1.12
1.1
1.1
1.1
1
1
1
476.2
479.1
480.6
481.4
479.8
478.5
475.3
476.2
473.9
473.8
465.5
460.8
457.1
461
472.7
462.2
417.4
327.4
226.1
209.3
193.7
129.9
79.8
64
53.6
43.9
34.8
26.9
20.3
15.1
11.4
8.6
6.5
4.7
3.3
2.2
1.2
1
1
1
1.1
1.1
1.1
1.1
1.2
1.2
1.3
1.5
1.7
2.1
2.3
2.4
2.2
2
1.8
1.8
1.7
1.7
1.6
1.6
1.5
1.5
1.4
1.4
1.3
1.3
1.1
1.1
1.1
1.1
1
1
1
476.2
478.91
480.49
481.24
480.16
478.63
475.79
476.4
474.61
474.97
466.97
462.07
456.88
458.64
467.75
460.27
425.38
347.14
245.56
215.62
191.27
133.38
86.51
67.69
55.41
45.23
35.85
27.57
20.64
15.24
11.45
8.62
6.48
4.68
3.29
2.17
1.17
.97
.97
.99
1.07
1.07
1.09
1.09
1.17
1.19
1.29
1.49
1.69
2.09
2.29
2.39
2.2
2
1.8
1.79
1.7
1.68
1.6
1.58
1.5
1.5
1.4
1.39
1.3
1.29
1.1
1.1
1.1
1.08
1
1
1
476.2
478.7
480.39
481.07
480.49
478.77
476.31
476.6
475.28
475.93
468.22
463.1
456.55
456.22
462.34
457.06
431.13
364.84
264.15
220.95
187.38
135.83
92.72
71.2
57.22
46.63
37.01
28.37
21.11
15.48
11.54
8.66
6.47
4.66
3.27
2.14
1.13
.94
.94
.98
1.04
1.04
1.07
1.07
1.14
1.18
1.28
1.48
1.67
2.07
2.27
2.37
2.21
2
1.8
1.77
1.7
1.67
1.6
1.57
1.5
1.51
1.4
1.37
1.3
1.27
1.09
1.1
1.11
1.07
1
1
1
476.2
478.49
480.29
480.9
480.79
478.92
476.85
476.82
475.91
476.67
469.25
463.9
456.12
453.73
456.47
452.58
434.64
380.51
281.89
225.29
182.03
137.26
98.42
74.52
59.04
48.11
38.28
29.3
21.69
15.8
11.69
8.71
6.47
4.64
3.26
2.11
1.1
.91
.91
.96
1.01
1.01
1.06
1.06
1.11
1.16
1.26
1.46
1.66
2.06
2.26
2.36
2.21
2
1.8
1.76
1.7
1.65
1.6
1.55
1.5
1.51
1.4
1.36
1.3
1.26
1.09
1.1
1.11
1.05
1
1
1
476.2
478.27
480.19
480.74
481.06
479.07
477.41
477.04
476.51
477.19
470.05
464.47
455.59
451.18
450.14
446.83
435.93
394.14
298.75
228.65
175.22
137.66
103.62
77.67
60.86
49.67
39.67
30.37
22.41
16.21
11.88
8.79
6.47
4.62
3.24
2.07
1.07
.87
.87
.94
.97
.97
1.04
1.04
1.07
1.14
1.24
1.44
1.64
2.04
2.24
2.34
2.21
2
1.8
1.74
1.7
1.63
1.6
1.53
1.5
1.51
1.4
1.34
1.3
1.24
1.09
1.1
1.11
1.03
1
1
1
476.2
478.04
480.09
480.57
481.29
479.23
477.99
477.26
477.07
477.5
470.64
464.8
454.95
448.57
443.35
439.8
434.98
405.74
314.76
231.02
166.94
137.04
108.31
80.62
62.68
51.3
41.18
31.57
23.24
16.71
12.12
8.88
6.48
4.61
3.22
2.04
1.03
.84
.84
.92
.94
.94
1.02
1.02
1.04
1.12
1.22
1.42
1.62
2.02
2.22
2.32
2.2
2
1.8
1.72
1.7
1.62
1.6
1.52
1.5
1.5
1.4
1.32
1.3
1.22
1.1
1.1
1.1
1.02
1
1
1
476.2
477.8
480
480.4
481.5
479.4
478.6
477.5
477.6
477.6
471
464.9
454.2
445.9
436.1
431.5
431.8
415.3
329.9
232.4
157.2
135.4
112.5
83.4
64.5
53
42.8
32.9
24.2
17.3
12.4
9
6.5
4.6
3.2
2
1
.8
.8
.9
.9
.9
1
1
1
1.1
1.2
1.4
1.6
2
2.2
2.3
2.2
2
1.8
1.7
1.7
1.6
1.6
1.5
1.5
1.5
1.4
1.3
1.3
1.2
1.1
1.1
1.1
1
1
1
1
476.2
477.56
479.98
480.08
481.16
479.67
479.14
477.97
477.79
477.04
470.06
464.17
453.81
444.04
432.59
424.71
422.44
406.16
322.64
227.58
154.58
132.58
110
82.98
65.73
54.8
44.82
34.8
25.71
18.16
12.67
9.01
6.49
4.58
3.16
1.96
.97
.77
.77
.85
.87
.87
.97
.97
.99
1.07
1.17
1.37
1.59
1.99
2.18
2.28
2.17
1.98
1.8
1.7
1.7
1.6
1.61
1.5
1.49
1.49
1.39
1.28
1.29
1.18
1.1
1.1
1.08
1
1
1
1
476.2
477.34
479.97
479.8
480.83
479.94
479.64
478.44
477.93
476.43
469.06
463.3
453.29
442.17
429.3
418.05
412.44
395.09
313.09
221.68
151.96
129.47
107
82.33
66.85
56.53
46.81
36.74
27.32
19.15
13.07
9.11
6.51
4.58
3.12
1.93
.93
.74
.74
.81
.84
.83
.94
.94
.97
1.04
1.14
1.34
1.57
1.97
2.17
2.27
2.13
1.97
1.8
1.7
1.71
1.6
1.61
1.5
1.47
1.47
1.37
1.27
1.27
1.16
1.11
1.11
1.07
.99
1
1
1
476.2
477.15
479.95
479.56
480.5
480.21
480.1
478.91
478
475.74
467.99
462.3
452.64
440.29
426.21
411.54
401.81
382.07
301.26
214.69
149.36
126.07
103.5
81.43
67.87
58.21
48.79
38.72
29.02
20.28
13.62
9.3
6.57
4.59
3.08
1.89
.9
.71
.71
.76
.81
.8
.91
.91
.96
1.01
1.11
1.31
1.56
1.96
2.15
2.25
2.1
1.95
1.8
1.7
1.71
1.6
1.61
1.5
1.46
1.46
1.36
1.25
1.26
1.14
1.11
1.11
1.05
.99
1
1
1
476.2
476.98
479.93
479.37
480.19
480.48
480.54
479.38
478.03
474.99
466.86
461.17
451.86
438.4
423.33
405.15
390.54
367.12
287.13
206.61
146.76
122.37
99.5
80.29
68.78
59.83
50.74
40.74
30.82
21.55
14.31
9.58
6.68
4.61
3.05
1.86
.87
.67
.67
.71
.77
.77
.88
.87
.94
.97
1.07
1.27
1.54
1.94
2.13
2.23
2.07
1.93
1.8
1.7
1.71
1.6
1.61
1.5
1.44
1.44
1.34
1.23
1.24
1.13
1.11
1.11
1.03
.99
1
1
1
476.2
476.83
479.92
479.21
479.89
480.74
480.94
479.84
477.99
474.18
465.66
459.9
450.95
436.5
420.66
398.91
378.64
350.23
270.71
197.45
144.18
118.38
95
78.92
69.59
61.4
52.68
42.8
32.71
22.96
15.13
9.94
6.82
4.65
3.02
1.83
.83
.64
.64
.65
.74
.73
.84
.84
.92
.94
1.04
1.24
1.52
1.92
2.12
2.22
2.03
1.92
1.8
1.7
1.7
1.6
1.61
1.5
1.42
1.42
1.32
1.22
1.22
1.11
1.1
1.1
1.02
1
1
1
1
476.2
476.7
479.9
479.1
479.6
481
481.3
480.3
477.9
473.3
464.4
458.5
449.9
434.6
418.2
392.8
366.1
331.4
252
187.2
141.6
114.1
90
77.3
70.3
62.9
54.6
44.9
34.7
24.5
16.1
10.4
7
4.7
3
1.8
.8
.6
.6
.6
.7
.7
.8
.8
.9
.9
1
1.2
1.5
1.9
2.1
2.2
2
1.9
1.8
1.7
1.7
1.6
1.6
1.5
1.4
1.4
1.3
1.2
1.2
1.1
1.1
1.1
1
1
1
1
1
476.2
476.99
480.17
479.82
480.39
481.59
481.96
481.06
478.34
473.55
464.91
457.99
448.35
432.25
414.65
388.74
359.48
320.91
239.97
176.98
135.36
110.92
88.77
77.49
71.12
64.11
56.15
46.8
36.85
26.7
17.95
11.36
7.24
4.68
2.94
1.76
.77
.55
.55
.56
.65
.67
.75
.77
.85
.87
.97
1.17
1.47
1.87
2.09
2.19
2
1.9
1.8
1.68
1.68
1.58
1.56
1.48
1.38
1.38
1.28
1.18
1.18
1.1
1.08
1.08
1
1
1
1
1
476.2
477.19
480.29
480.39
481.03
482
482.42
481.59
478.58
473.64
465.27
457.32
446.59
429.79
411.08
384.9
353.42
311.17
228.68
167.17
129.23
107.97
87.81
77.75
71.84
65.17
57.52
48.53
38.86
28.83
19.79
12.39
7.58
4.72
2.92
1.73
.73
.5
.5
.53
.6
.63
.7
.73
.81
.83
.93
1.13
1.44
1.84
2.07
2.17
1.99
1.9
1.81
1.67
1.67
1.57
1.53
1.47
1.36
1.36
1.26
1.16
1.16
1.09
1.06
1.07
.99
1
1
1
1
476.2
477.29
480.26
480.8
481.5
482.21
482.65
481.89
478.61
473.57
465.47
456.48
444.62
427.23
407.49
381.3
347.91
302.17
218.13
157.78
123.21
105.26
87.12
78.07
72.46
66.06
58.71
50.09
40.73
30.89
21.64
13.49
8
4.84
2.93
1.71
.7
.45
.45
.49
.55
.6
.65
.7
.76
.8
.9
1.1
1.41
1.81
2.06
2.16
1.99
1.9
1.81
1.65
1.65
1.55
1.49
1.45
1.34
1.34
1.24
1.14
1.14
1.09
1.04
1.05
.99
1
1
1
1
476.2
477.29
480.09
481.05
481.83
482.23
482.68
481.96
478.44
473.34
465.53
455.48
442.45
424.56
403.88
377.94
342.95
293.93
208.32
148.81
117.29
102.77
86.71
78.45
72.97
66.8
59.72
51.47
42.46
32.87
23.49
14.66
8.51
5.02
2.98
1.69
.67
.4
.4
.46
.5
.57
.6
.67
.71
.77
.87
1.07
1.37
1.77
2.04
2.14
1.99
1.9
1.81
1.63
1.63
1.53
1.46
1.43
1.33
1.33
1.23
1.13
1.13
1.09
1.03
1.03
.99
1
1
1
1
476.2
477.19
479.77
481.15
481.99
482.06
482.5
481.79
478.07
472.95
465.44
454.32
440.08
421.78
400.25
374.8
338.55
286.44
199.24
140.24
111.49
100.52
86.57
78.89
73.39
67.38
60.55
52.67
44.05
34.77
25.35
15.9
9.11
5.28
3.07
1.69
.63
.35
.35
.43
.45
.53
.55
.63
.65
.73
.83
1.03
1.34
1.74
2.02
2.12
2
1.9
1.8
1.62
1.62
1.52
1.43
1.42
1.31
1.31
1.21
1.11
1.11
1.1
1.01
1.02
1
1
1
1
1
476.2
477
479.3
481.1
482
481.7
482.1
481.4
477.5
472.4
465.2
453
437.5
418.9
396.6
371.9
334.7
279.7
190.9
132.1
105.8
98.5
86.7
79.4
73.7
67.8
61.2
53.7
45.5
36.6
27.2
17.2
9.8
5.6
3.2
1.7
.6
.3
.3
.4
.4
.5
.5
.6
.6
.7
.8
1
1.3
1.7
2
2.1
2
1.9
1.8
1.6
1.6
1.5
1.4
1.4
1.3
1.3
1.2
1.1
1.1
1.1
1
1
1
1
1
1
1
476.2
475.36
477.12
478.65
479.42
479.27
479.59
478.64
474.6
469.19
461.72
449.16
433.22
414.53
391.96
366.74
328.41
271.88
183.78
127.11
103.01
97.03
86.02
79.15
73.52
67.67
61.19
53.88
45.96
37.38
28.35
18.7
11.29
6.66
3.71
1.8
.55
.25
.25
.35
.35
.45
.45
.55
.55
.65
.75
.95
1.25
1.65
1.96
2.06
1.98
1.88
1.78
1.6
1.6
1.5
1.41
1.4
1.3
1.3
1.2
1.1
1.1
1.1
1.02
1
1
1
1
1
1
476.2
473.83
475.1
476.35
477
476.99
477.24
476.05
471.92
466.2
458.48
445.65
429.38
410.64
387.89
362.18
322.92
265.2
177.86
123.09
100.82
95.84
85.43
78.89
73.31
67.49
61.1
53.96
46.26
37.97
29.29
20.03
12.64
7.63
4.18
1.89
.51
.21
.21
.31
.31
.41
.41
.51
.51
.61
.71
.91
1.21
1.61
1.92
2.02
1.96
1.86
1.76
1.59
1.59
1.49
1.43
1.39
1.29
1.29
1.19
1.09
1.09
1.1
1.03
.99
1
1
1
1
1
476.2
472.4
473.24
474.19
474.72
474.88
475.06
473.65
469.43
463.45
455.46
442.47
425.98
407.23
384.39
358.22
318.22
259.65
173.13
120.05
99.23
94.94
84.92
78.63
73.07
67.26
60.94
53.91
46.4
38.37
30.03
21.17
13.86
8.52
4.62
1.97
.47
.17
.17
.27
.27
.37
.37
.47
.47
.57
.67
.87
1.17
1.57
1.88
1.98
1.94
1.84
1.74
1.59
1.59
1.49
1.44
1.39
1.29
1.29
1.19
1.09
1.09
1.1
1.05
.99
1
1
1
1
1
476.2
471.09
471.54
472.18
472.6
472.93
473.04
471.42
467.15
460.94
452.68
439.62
423.02
404.3
381.46
354.85
314.32
255.23
169.59
117.99
98.25
94.31
84.49
78.36
72.81
66.99
60.7
53.76
46.39
38.57
30.56
22.13
14.94
9.33
5.02
2.06
.44
.14
.14
.24
.24
.34
.34
.44
.44
.54
.64
.84
1.14
1.54
1.85
1.95
1.93
1.83
1.73
1.59
1.59
1.49
1.46
1.39
1.29
1.29
1.19
1.09
1.09
1.1
1.07
.99
1
1
1
1
1
476.2
469.89
469.99
470.32
470.62
471.13
471.19
469.37
465.07
458.65
450.12
437.1
420.49
401.86
379.1
352.08
311.21
251.95
167.25
116.91
97.87
93.96
84.15
78.08
72.52
66.67
60.39
53.48
46.22
38.58
30.88
22.9
15.89
10.06
5.38
2.13
.42
.12
.12
.22
.22
.32
.32
.42
.42
.52
.62
.82
1.12
1.52
1.82
1.92
1.91
1.81
1.71
1.6
1.6
1.5
1.48
1.4
1.3
1.3
1.2
1.1
1.1
1.1
1.08
1
1
1
1
1
1
476.2
468.8
468.6
468.6
468.8
469.5
469.5
467.5
463.2
456.6
447.8
434.9
418.4
399.9
377.3
349.9
308.9
249.8
166.1
116.8
98.1
93.9
83.9
77.8
72.2
66.3
60
53.1
45.9
38.4
31
23.5
16.7
10.7
5.7
2.2
.4
.1
.1
.2
.2
.3
.3
.4
.4
.5
.6
.8
1.1
1.5
1.8
1.9
1.9
1.8
1.7
1.6
1.6
1.5
1.5
1.4
1.3
1.3
1.2
1.1
1.1
1.1
1.1
1
1
1
1
1
1

]]</Data>
</ldc>
<picture><Type>JPEG</Type>
<File>SOLVANFLOW_D_MRW_01_LLW_DB.jpg</File>
<Bindata>/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8S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</Bindata>
</picture>
<cad><Type>JPEG</Type>
<File>MS_SOLVANFLOW_D2_DB.jpg</File>
<Bindata>/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8S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</Bindata>
</cad>
</luminaire>
</RlxLum>

