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Hundreds of Voldeno modules prepared for smart home deployment.","we-are-ready","en\u002Fblog\u002Fwe-are-ready",{"title":1301,"slug":1302,"path":1303,"order":78,"date":1274,"translation_key":1275},"New Voldeno 1-Wire Temperature Sensor - Compact, Reliable, and Built for Large-Scale Installations","new-voldeno-1-wire-temperature-sensor-compact-reliable-and-built-for-large-scale-installations","en\u002Fblog\u002Fnew-voldeno-1-wire-temperature-sensor-compact-reliable-and-built-for-large-scale-installations",{"title":1305,"slug":1306,"path":1307,"order":78,"date":1280,"translation_key":1281},"Discover the Future of Smart Homes with Voldeno","future_of_smart_homes","en\u002Fblog\u002Ffuture_of_smart_homes",[1309,1314,1319,1324,1329,1334],{"title":1310,"slug":1311,"path":1312,"order":78,"date":1250,"translation_key":1313},"Ein Smart Home ist kein Gadget: messbare Einsparungen, Sicherheit und Immobilienwert","smart-home-ist-kein-gadget","de\u002Fblog\u002Fsmart-home-ist-kein-gadget","2026_07_03_smart_home_ist_kein_gadget",{"title":1315,"slug":1316,"path":1317,"order":78,"date":1256,"translation_key":1318},"Schalten im Nulldurchgang: Wie die Module I\u002FO und RELAY die Lebensdauer der Relaiskontakte verlängern","schalten-im-nulldurchgang-io-und-relay-module","de\u002Fblog\u002Fschalten-im-nulldurchgang-io-und-relay-module","2026_06_11_schalten_im_nulldurchgang",{"title":1320,"slug":1321,"path":1322,"order":78,"date":1262,"translation_key":1323},"Voldeno steuerte die Fischertechnik-Fabrikdemo auf der Google Cloud Next '26","fischertechnik-fabrikdemo-google-cloud-next-26","de\u002Fblog\u002Ffischertechnik-fabrikdemo-google-cloud-next-26","2026_04_28_voldeno_bei_google_cloud_next_26",{"title":1325,"slug":1326,"path":1327,"order":78,"date":1268,"translation_key":1328},"Wir sind bereit! Hunderte Voldeno-Module für den Einsatz im Smart Home vorbereitet.","wir-sind-bereit","de\u002Fblog\u002Fwir-sind-bereit","2025_08_17_wir_sind_bereit",{"title":1330,"slug":1331,"path":1332,"order":78,"date":1274,"translation_key":1333},"Neuer Voldeno 1-Wire Temperatursensor: kompakt, zuverlässig und für große Installationen gebaut","1-wire-temperatursensor-kompakt-zuverlaessig-fuer-grosse-installationen","de\u002Fblog\u002F1-wire-temperatursensor-kompakt-zuverlaessig-fuer-grosse-installationen","2025_04_25_neuer_voldeno_1wire_temperatursensor",{"title":1335,"slug":1336,"path":1337,"order":78,"date":1280,"translation_key":1338},"Entdecken Sie die Zukunft des Smart Home mit Voldeno","zukunft-des-smart-home","de\u002Fblog\u002Fzukunft-des-smart-home","2024_10_18_zukunft_smart_homes",{"map":1340,"xDefault":1341},{"pl":1341,"en":1342,"de":1343},"https:\u002F\u002Fvoldeno.com\u002Fpl\u002Fblog\u002Fvoldeno-at-google-cloud-next-26","https:\u002F\u002Fvoldeno.com\u002Fen\u002Fblog\u002Fvoldeno-at-google-cloud-next-26","https:\u002F\u002Fvoldeno.com\u002Fde\u002Fblog\u002Ffischertechnik-fabrikdemo-google-cloud-next-26",{"slug":1321,"title":1320,"description":1345,"tags":1346,"content_html":1352,"headings":1353,"extra":1377,"date":1262,"author":1378,"cover_image":1379,"reading_time":649},"Acht I\u002FO-Module, ein Hub und Pub\u002FSub-Anbindung an Google Cloud in Echtzeit über HTTPS. Wie Voldeno-Module jeden Motor und Sensor der Fischertechnik Training Factory-Demo für Google Manufacturing Data Engine in Las Vegas ansteuerten.",[1347,1348,1349,1350,568,1351],"neuigkeiten","voldeno","google cloud next","fertigung","industrie 4.0","\u003Ch1 id=\"voldeno-steuerte-die-fischertechnik-fabrikdemo-auf-der-google-cloud-next-26\">\u003Ca href=\"#voldeno-steuerte-die-fischertechnik-fabrikdemo-auf-der-google-cloud-next-26\" class=\"anchor\">#\u003C\u002Fa> Voldeno steuerte die Fischertechnik-Fabrikdemo auf der Google Cloud Next '26\u003C\u002Fh1>\u003Cimg src=\"\u002Fimages\u002Fblog\u002Fgoogle_next_26\u002Fgoogle_next_26_place.webp\" alt=\"Veranstaltungsort der Google Cloud Next '26\" class=\"img-large\" \u002F>\n\u003Cp>Die Google Cloud Next '26 fand vom 22. bis 24. April 2026 in Las Vegas statt, mit mehr als 32.000 Teilnehmern, über 700 Breakout-Sessions und mehr als 490 Sponsoren. Das zentrale Thema war das agentische Unternehmen: Googles Wette auf KI-Agenten, die im Auftrag von Organisationen über Software, Daten und physische Abläufe hinweg handeln.\u003C\u002Fp>\n\u003Cimg src=\"\u002Fimages\u002Fblog\u002Fgoogle_next_26\u002Fgoogle_next_crowd.webp\" alt=\"Besucherandrang auf der Google Cloud Next '26\" class=\"img-large\" \u002F>\n\u003Cp>Zu den Vorführungen auf der Ausstellungsfläche gehörte ein vernetztes Fabrikmodell auf Basis des Bausatzes Fischertechnik Training Factory Industry 4.0 24V. Jede Bewegung, jeder Sensorwert und jedes I\u002FO-Ereignis wurde in Echtzeit über Pub\u002FSub an Google Manufacturing Data Engine gestreamt. Die Steuerung der Fabrik und die Brücke zu Google Cloud liefen auf Voldeno-Modulen.\u003C\u002Fp>\n\u003Cp>Der Kern dieses Beitrags: Dieselbe Hardware, die in Wohn- und Gewerbeverteilungen landet, steuerte auch encoderbasierte Positionierung, Kompressoren, Vakuumventile und Dutzende Sensoren mit einer Präzision, die sonst der Industrieautomation vorbehalten ist. Ein Hub, acht I\u002FO-Module, ein ANALOG INPUT, ein 1-WIRE-Modul. Das war der gesamte Aufbau auf der Fabrikseite.\u003C\u002Fp>\n\u003Ch2 id=\"die-fabrik-auf-der-ausstellungsflache\">\u003Ca href=\"#die-fabrik-auf-der-ausstellungsflache\" class=\"anchor\">#\u003C\u002Fa> Die Fabrik auf der Ausstellungsfläche\u003C\u002Fh2>\n\u003Cp>Der Bausatz ist die Fischertechnik \u003Ca href=\"https:\u002F\u002Fwww.fischertechnik.de\u002Fen\u002Fproducts\u002Findustry-and-universities\u002Ftraining-models\u002F554868-training-factory-industry-4-0-24v\" rel=\"nofollow\">Training Factory Industry 4.0 24V\u003C\u002Fa> (Modell 554868), dieselbe Lernanlage, die Universitäten und industrielle Entwicklungsabteilungen zur Vermittlung von Industrie 4.0 einsetzen. Die 24V-Variante wird mit Adapterplatinen für den Anschluss an eine SPS geliefert, und genau diese Ebene haben wir ersetzt.\u003C\u002Fp>\n\u003Cp>Fünf Stationen decken einen vollständigen Produktionszyklus ab:\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>HBW, Hochregallager\u003C\u002Fstrong> lagert Werkstücke ein und aus. Separate Achsen treiben ein Förderband, eine horizontale Achse zum Regal und zurück, eine vertikale Achse und einen ausfahrenden Ausleger an. Jede Achse verfügt über einen Impulsgeber und einen Referenzschalter.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>VGR, Vakuum-Greifroboter\u003C\u002Fstrong> nimmt Werkstücke auf und setzt sie ab, auf drei Achsen (vertikal, horizontal, Rotation), mit einem Kompressor, einem Vakuumventil und drei Encodern.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>MPO, Multibearbeitungsstation\u003C\u002Fstrong> vereint einen Ofen, eine Säge, ein Förderband, einen Drehtisch und eine Vakuum-Handhabung zwischen Ofen und Drehtisch. Fünf Motoren, vier Pneumatikventile und die Ofenbeleuchtung.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>SLD, Sortierstrecke mit Farberkennung\u003C\u002Fstrong> arbeitet mit einem analogen 0-10-V-Farbsensor, drei Lichtschranken an den Auswurffächern (weiß, rot, blau) und drei Auswurfventilen. Werkstücke werden nach Farbe in Fächer sortiert.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>SSC, Sensorstation mit Kamera\u003C\u002Fstrong> steuert einen zweiachsigen Kamerakopf, einen 0-10-V-Farbsensor, zwei Lichtschranken für Ein- und Auslagerung sowie Anzeige- und Status-LEDs.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>Das ist kein beiläufiges Gadget. Der Bausatz ist eine ernsthafte Lehr- und Entwicklungsplattform, die über Industriedistributoren vertrieben wird. Die SPS-Ebene durch Voldeno-Module zu ersetzen, war ein bewusster Test, ob unser System dort bestehen kann, wo sonst eine Siemens S7-1500 sitzt.\u003C\u002Fp>\n\u003Cimg src=\"\u002Fimages\u002Fblog\u002Fgoogle_next_26\u002Ffischer_voldeno_kit_overview.webp\" alt=\"Fischertechnik-Bausatz, gesteuert von Voldeno-Modulen\" class=\"img-large\" \u002F>\n\u003Ch2 id=\"was-die-voldeno-module-ansteuerten\">\u003Ca href=\"#was-die-voldeno-module-ansteuerten\" class=\"anchor\">#\u003C\u002Fa> Was die Voldeno-Module ansteuerten\u003C\u002Fh2>\n\u003Cp>Die Voldeno-Hardware war auf einer DIN-Schiene montiert:\u003C\u002Fp>\n\u003Cul>\n\u003Cli>1× \u003Ca href=\"\u002Fde\u002Fprodukte\u002Fhub\">HUB\u003C\u002Fa> für die Verteilung der Logik, Ethernet, Fernaktualisierungen und den Kanal zu Google Cloud.\u003C\u002Fli>\n\u003Cli>8× \u003Ca href=\"\u002Fde\u002Fprodukte\u002Fio\">I\u002FO\u003C\u002Fa> für insgesamt 64 digitale Eingänge und 64 Relaisausgänge in zwei galvanisch getrennten Gruppen je Modul.\u003C\u002Fli>\n\u003Cli>1× \u003Ca href=\"\u002Fde\u002Fprodukte\u002F1wire\">1-WIRE\u003C\u002Fa> mit fünf im Bausatz verteilten \u003Ca href=\"https:\u002F\u002Fshop.voldeno.com\u002Fpl\u002Fakcesoria-smart-home\u002Fsen1wt3-zestaw-czujnikow-temperatury-1-wire\">SEN1WT3\u003C\u002Fa>-Temperatursensoren.\u003C\u002Fli>\n\u003Cli>1× \u003Ca href=\"\u002Fde\u002Fprodukte\u002Fanalog-input\">ANALOG INPUT\u003C\u002Fa> für die beiden 0-10-V-Farbsensoren an SLD und SSC.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>Das I\u002FO-Budget je Station, direkt aus dem Belegungsplan von Fischertechnik übernommen:\u003C\u002Fp>\n\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Station\u003C\u002Fth>\u003Cth>Eingänge (Sensoren \u002F Schalter \u002F Encoder)\u003C\u002Fth>\u003Cth>Ausgänge (Motoren \u002F Ventile \u002F Leuchten)\u003C\u002Fth>\u003Cth>Analog\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\n\u003Ctr>\u003Ctd>HBW\u003C\u002Ftd>\u003Ctd>4 Referenzschalter, 2 Lichtschranken, 4 Encoderimpulse (2 Achsen)\u003C\u002Ftd>\u003Ctd>Förderband (M1), horizontal zum Regal (M2), vertikal (M3), Ausleger (M4) mit Richtungssteuerung\u003C\u002Ftd>\u003Ctd>-\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>VGR\u003C\u002Ftd>\u003Ctd>3 Referenzschalter, 6 Encoderimpulse (3 Achsen)\u003C\u002Ftd>\u003Ctd>vertikal (M1), horizontal (M2), Rotation (M3) mit Richtungssteuerung, Kompressor, Vakuumventil\u003C\u002Ftd>\u003Ctd>-\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>MPO\u003C\u002Ftd>\u003Ctd>7 Referenzschalter, 2 Lichtschranken (Bandende und Ofen)\u003C\u002Ftd>\u003Ctd>Drehtisch (M1), Förderband (M2), Säge (M3), Ofenschieber (M4), Handhabung (M5), Ofenbeleuchtung, Kompressor, 4 Ventile (Vakuum, Absenken, Ofentür, Schieber)\u003C\u002Ftd>\u003Ctd>-\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>SLD\u003C\u002Ftd>\u003Ctd>1 Impulstaster, 5 Lichtschranken (Eingang, nach Farberkennung, weiß, rot, blau)\u003C\u002Ftd>\u003Ctd>Förderband, Kompressor, 3 Auswurfventile (weiß, rot, blau)\u003C\u002Ftd>\u003Ctd>A4: 0-10-V-Farbsensor\u003C\u002Ftd>\u003C\u002Ftr>\n\u003Ctr>\u003Ctd>SSC\u003C\u002Ftd>\u003Ctd>2 Referenzschalter, 2 Lichtschranken, 4 Encoderimpulse (2 Achsen)\u003C\u002Ftd>\u003Ctd>vertikal (M1), Rotation (M2) mit Richtungssteuerung, 3 Status-LEDs, 1 Online-LED\u003C\u002Ftd>\u003Ctd>A1: 0-10-V-Farbsensor\u003C\u002Ftd>\u003C\u002Ftr>\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\u003Cp>Über die fünf Stationen hinweg sind das rund 42 digitale Eingänge, 43 digitale Ausgänge, zwei analoge Kanäle und fünf 1-Wire-Temperaturmesspunkte. Jedes I\u002FO-Modul stellt 8 digitale Eingänge (mit optionalem Impulszählermodus) und 8 Relaisausgänge in zwei galvanisch getrennten Vierergruppen bereit. Der Impulszählermodus erlaubt es, die Positionsencoder jeder Achse ohne eine eigene Motion-Control-Karte auszulesen.\u003C\u002Fp>\n\u003Cp>Motoren, die der ursprüngliche Fischertechnik-Aufbau per PWM in der Drehzahl regelt, werden in diesem Aufbau nur über die Relaisausgänge des I\u002FO-Moduls ein- und ausgeschaltet. Volle Drehzahl vorwärts oder rückwärts genügt, um jede Achse in die von einem Encoder und einem Referenzschalter angezeigte Position zu bringen.\u003C\u002Fp>\n\u003Cimg src=\"\u002Fimages\u002Fblog\u002Fgoogle_next_26\u002Ffischer_voldeno_kit_voldeno_modules.webp\" alt=\"Voldeno-Module steuern die Fabrik\" class=\"img-large\" \u002F>\n\u003Ch2 id=\"echtzeit-zu-google-cloud-direkt-vom-hub\">\u003Ca href=\"#echtzeit-zu-google-cloud-direkt-vom-hub\" class=\"anchor\">#\u003C\u002Fa> Echtzeit zu Google Cloud, direkt vom Hub\u003C\u002Fh2>\u003Cdiv class=\"video-container\">\n  \u003Ciframe src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FUmTRccVafgk\" title=\"Fischertechnik-Fabrikdemo, gesteuert von Voldeno-Modulen, Google Cloud Next '26\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen>\u003C\u002Fiframe>\n\u003C\u002Fdiv>\n\u003Cp>Jede Zustandsänderung in der Fabrik wurde in ein Pub\u002FSub-Topic veröffentlicht. Der Weg von der Edge in die Cloud sieht so aus:\u003C\u002Fp>\n\u003Col>\n\u003Cli>Ein I\u002FO-Ereignis (Eingangswechsel, Ausgangsschaltung, Farbmessung, Encoderimpuls, Temperaturaktualisierung) erreicht einen Logikbaustein, der lokal auf dem Hub läuft.\u003C\u002Fli>\n\u003Cli>Der Logikbaustein \u003Ca href=\"https:\u002F\u002Fvoldeno.com\u002Fde\u002Fdocs\u002Flogikbausteine\u002Fprocess\u002Fpubsub\">PubSub::Publish\u003C\u002Fa> formatiert das Ereignis, kodiert es in Base64 und legt es in einem internen Puffer ab.\u003C\u002Fli>\n\u003Cli>Sobald die Grenze für Stapelgröße oder Stapel-Timeout erreicht ist (typischerweise 10 Nachrichten oder 1 Sekunde), signiert der Baustein ein JWT, tauscht es bei \u003Ccode>oauth2.googleapis.com\u002Ftoken\u003C\u002Fcode> gegen ein OAuth2-Zugriffstoken und veröffentlicht den Stapel über HTTPS an \u003Ccode>pubsub.googleapis.com\u002Fv1\u002Fprojects\u002F...\u002Ftopics\u002F...:publish\u003C\u002Fcode>.\u003C\u002Fli>\n\u003Cli>Google Pub\u002FSub verteilt die Ereignisse an \u003Ca href=\"https:\u002F\u002Fcloud.google.com\u002Fsolutions\u002Fmanufacturing-data-engine\" rel=\"nofollow\">Google Manufacturing Data Engine\u003C\u002Fa>, das sie normalisiert, mit dem Anlagenmodell verknüpft und an BigQuery sowie nachgelagerte Dashboards weiterleitet.\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Cp>Diese Architektur streicht erhebliche Posten aus der Stückliste. Kein separater Raspberry Pi mit Node-RED. Kein MQTT-Broker. Kein OPC-UA-Gateway. Keine HTTP-zu-Pub\u002FSub-Brücke. Der Hub spricht Pub\u002FSub direkt, über einen TLS-gesicherten HTTPS-Kanal, mit automatisch zwischengespeicherten und erneuerten OAuth2-Token.\u003C\u002Fp>\n\u003Cp>Für den Betrieb ist der Gewinn ebenso wichtig. Die lokale Steuerlogik bleibt lokal. Fällt das WAN aus, läuft die Fabrik weiter. Der PubSub::Publish-Baustein puffert die Ereignisse weiter und sendet sie bei nächster Gelegenheit erneut, mit einer konfigurierbaren Obergrenze, damit der Puffer nicht unbegrenzt wächst. Die Cloud sieht im Normalbetrieb einen kontinuierlichen Strom und nach einer Wiederherstellung einen nachgeführten Strom, ohne zusätzliche Infrastruktur.\u003C\u002Fp>\n\u003Cdiv class=\"callout callout-note\">\n\u003Cdiv class=\"callout-title\">\u003Cspan class=\"callout-icon\">\u003Csvg xmlns=\"http:\u002F\u002Fwww.w3.org\u002F2000\u002Fsvg\" width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\">\u003Cpath d=\"M14.5 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7.5L14.5 2z\"\u002F>\u003Cpolyline points=\"14 2 14 8 20 8\"\u002F>\u003Cline x1=\"16\" y1=\"13\" x2=\"8\" y2=\"13\"\u002F>\u003Cline x1=\"16\" y1=\"17\" x2=\"8\" y2=\"17\"\u002F>\u003Cline x1=\"10\" y1=\"9\" x2=\"8\" y2=\"9\"\u002F>\u003C\u002Fsvg>\u003C\u002Fspan>\u003Cspan>Note\u003C\u002Fspan>\u003C\u002Fdiv>\n\u003Cdiv class=\"callout-content\">\n\u003Cp>Der vollständige Quellcode des Bausteins \u003Ca href=\"https:\u002F\u002Fvoldeno.com\u002Fde\u002Fdocs\u002Flogikbausteine\u002Fprocess\u002Fpubsub\">PubSub::Publish\u003C\u002Fa> ist in unserer Dokumentation veröffentlicht, einschließlich JWT-Signierung, OAuth2-Caching, Stapelverarbeitung und Auswertung der HTTP-Antworten. Er läuft als normales Volang im Hub.\u003C\u002Fp>\n\u003C\u002Fdiv>\n\u003C\u002Fdiv>\n\u003Ch2 id=\"umfang-der-automatisierungslogik\">\u003Ca href=\"#umfang-der-automatisierungslogik\" class=\"anchor\">#\u003C\u002Fa> Umfang der Automatisierungslogik\u003C\u002Fh2>\n\u003Cp>Das Projekt hinter der Demo enthielt Hunderte Logikbausteine und mehr als tausend Verbindungen zwischen ihnen. Die Bausteine übernehmen Encoderzählung, Motorrichtungssteuerung, Ablaufsteuerung der Handhabung, Koordination zwischen den Stationen, Entprellung der Lichtschranken, Schwellwerte der Farbsensoren, Fehlerbehandlung und den oben beschriebenen Pub\u002FSub-Veröffentlichungspfad.\u003C\u002Fp>\n\u003Cp>Positionsbasierte Bewegung mit Impulsencodern und engem Schalt-Timing ist ein Profil, das üblicherweise eine SPS mit eigenen Achsbaugruppen liefert. Der Voldeno Bus, der Impulszähler des I\u002FO-Moduls und das deterministische Timing des Hubs genügten, um dieselbe Aufgabe im selben Ökosystem zu bewältigen, das wir für Wohnhäuser und kleine Gewerbegebäude ausliefern.\u003C\u002Fp>\n\u003Cp>Alles wurde in Voldeno Studio entworfen und mit einem einzigen Deploy auf den Hub übertragen. Aktualisierungen während der Messe erforderten keinen physischen Zugriff auf die Anlage; der Hub übernahm sie über das Netzwerk.\u003C\u002Fp>\n\u003Ch2 id=\"vom-smart-home-in-die-fabrikhalle\">\u003Ca href=\"#vom-smart-home-in-die-fabrikhalle\" class=\"anchor\">#\u003C\u002Fa> Vom Smart Home in die Fabrikhalle\u003C\u002Fh2>\u003Cimg src=\"\u002Fimages\u002Fblog\u002Fgoogle_next_26\u002Ffischer_voldeno_kit_overview_booth.webp\" alt=\"Der Bausatz auf der Ausstellungsfläche der Google Cloud Next\" class=\"img-large\" \u002F>\n\u003Cp>Dieselben Module, die in Wohn- und Gewerbeverteilungen sitzen, trieben eine Demo für eine Veranstaltung an, die von Unternehmen mit Jahresumsätzen in zweistelliger und dreistelliger Milliardenhöhe besucht wurde. Acht I\u002FO-Module. Vierundsechzig Eingangskanäle und vierundsechzig Ausgangskanäle. Fünf Stationen. Rund fünfundachtzig gleichzeitige I\u002FO-Ereignisse. Pub\u002FSub über HTTPS, direkt vom Hub gesendet. Die Logik läuft lokal auf einem 4 TE breiten Controller.\u003C\u002Fp>\n\u003Cp>Was das über das Produkt aussagt: Voldeno Bus und Voldeno Studio sind nicht auf Lichtszenen und Heizpläne beschränkt. Dasselbe System bewältigt positionsbasierte Bewegungssteuerung, Cloud-Anbindung auf Industrieniveau und präzises Timing. Für die typischeren Anwendungen unserer Kunden von heute (Installationen im Wohnbereich, Heizräume, Bewässerung, GLT-Anbindung auf kleineren Gewerbeobjekten) ist die Fischertechnik-Demo ein Beleg von oben herab. Wenn das System eine Industrie-4.0-Anlage bewältigt, hat es reichlich Reserven für eine Hausverteilung.\u003C\u002Fp>\n\u003Ch2 id=\"bauen-sie-es-selbst-nach\">\u003Ca href=\"#bauen-sie-es-selbst-nach\" class=\"anchor\">#\u003C\u002Fa> Bauen Sie es selbst nach\u003C\u002Fh2>\n\u003Cp>Wenn Sie denselben Ablauf auf Ihrer eigenen Hardware ausprobieren möchten:\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>Voldeno Studio\u003C\u002Fstrong> steht kostenlos zum Download bereit. Erstellen Sie eigene Logikbausteine, konfigurieren Sie I\u002FO-Module und richten Sie einen Pub\u002FSub-Stream zu Google Cloud ein. Legen Sie auf der \u003Ca href=\"\u002Fde\u002Fdownloads\">Download-Seite\u003C\u002Fa> los.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Sprechen Sie mit dem Team\u003C\u002Fstrong>. Möchten Sie eine solche Demo für eine Messe, ein Universitätslabor oder einen echten industriellen Einsatz mit HTTPS direkt zu GCP? \u003Ca href=\"\u002Fde\u002Fkontakt\">Kontaktieren Sie uns\u003C\u002Fa>. Für Installateure und Integratoren führt die \u003Ca href=\"\u002Fde\u002Ffuer-fachbetriebe\">Seite für Fachbetriebe\u003C\u002Fa> den Partnerweg.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"weiterfuhrende-links\">\u003Ca href=\"#weiterfuhrende-links\" class=\"anchor\">#\u003C\u002Fa> Weiterführende Links\u003C\u002Fh2>\n\u003Cul>\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fcloud.google.com\u002Fblog\u002Ftopics\u002Fgoogle-cloud-next\u002Fgoogle-cloud-next-2026-wrap-up\" rel=\"nofollow\">Zusammenfassung der Google Cloud Next 2026\u003C\u002Fa>\u003C\u002Fli>\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.fischertechnik.de\u002Fen\u002Fproducts\u002Findustry-and-universities\u002Ftraining-models\u002F554868-training-factory-industry-4-0-24v\" rel=\"nofollow\">Fischertechnik Training Factory 4.0 24V\u003C\u002Fa>\u003C\u002Fli>\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fcloud.google.com\u002Fsolutions\u002Fmanufacturing-data-engine\" rel=\"nofollow\">Google Manufacturing Data Engine\u003C\u002Fa>\u003C\u002Fli>\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fvoldeno.com\u002Fde\u002Fdocs\u002Flogikbausteine\u002Fprocess\u002Fpubsub\">PubSub::Publish, Referenz des Voldeno-Logikbausteins\u003C\u002Fa>\u003C\u002Fli>\n\u003Cli>Voldeno-Produkte: \u003Ca href=\"\u002Fde\u002Fprodukte\u002Fhub\">HUB\u003C\u002Fa>, \u003Ca href=\"\u002Fde\u002Fprodukte\u002Fio\">I\u002FO\u003C\u002Fa>, \u003Ca href=\"\u002Fde\u002Fprodukte\u002F1wire\">1-WIRE\u003C\u002Fa>, \u003Ca href=\"\u002Fde\u002Fprodukte\u002Fanalog-input\">ANALOG INPUT\u003C\u002Fa>\u003C\u002Fli>\n\u003C\u002Ful>\n",[1354,1356,1359,1362,1365,1368,1371,1374],{"level":84,"text":1320,"id":1355},"voldeno-steuerte-die-fischertechnik-fabrikdemo-auf-der-google-cloud-next-26",{"level":90,"text":1357,"id":1358},"Die Fabrik auf der Ausstellungsfläche","die-fabrik-auf-der-ausstellungsflache",{"level":90,"text":1360,"id":1361},"Was die Voldeno-Module ansteuerten","was-die-voldeno-module-ansteuerten",{"level":90,"text":1363,"id":1364},"Echtzeit zu Google Cloud, direkt vom Hub","echtzeit-zu-google-cloud-direkt-vom-hub",{"level":90,"text":1366,"id":1367},"Umfang der Automatisierungslogik","umfang-der-automatisierungslogik",{"level":90,"text":1369,"id":1370},"Vom Smart Home in die Fabrikhalle","vom-smart-home-in-die-fabrikhalle",{"level":90,"text":1372,"id":1373},"Bauen Sie es selbst nach","bauen-sie-es-selbst-nach",{"level":90,"text":1375,"id":1376},"Weiterführende Links","weiterfuhrende-links",{},"Voldeno Team","\u002Fimages\u002Fblog\u002Fgoogle_next_26\u002Fgoogle_cloud_header_dark.jpg",1783173861428]