VLCSofting 2017 - Modernizando las fábricas hacia el concepto de factorías 4.0 con Azure IOT
•Descargar como PPTX, PDF•
2 recomendaciones•366 vistas
El IoT es la revolución de la industria actual, para llevarla a un nivel en el que todas las máquinas de un proceso o una planta industrial estén interconectadas y puedan adaptarse a las necesidades de la producción. Monitorizando qué hacen las máquinas, cómo de bien lo hacen, qué problemas tienen, qué mantenimiento necesitan, y llegarán a ser capaces incluso de prever cuando se van a estropear o de decidir ellas solas cuánto deben fabricar para cubrir los pedidos de los clientes. En esta sesión veremos cómo aprovechar las capacidades de IoT de Azure para transformar los procesos de la fábrica y mejorar su capacidad de producción. Os mostraremos como conectar un brazo robótico industrial y los diversos dispositivos que encontraremos en una linea de producción a Azure, ver sus datos de proceso, analizar la información con Power BI y predecir sus tiempos de mantenimiento con Machine Learning.
Recomendados
Recomendados
Más contenido relacionado
Similar a VLCSofting 2017 - Modernizando las fábricas hacia el concepto de factorías 4.0 con Azure IOT
Similar a VLCSofting 2017 - Modernizando las fábricas hacia el concepto de factorías 4.0 con Azure IOT (20)
Más de Alberto Diaz Martin
Más de Alberto Diaz Martin (20)
Último
Último (10)
VLCSofting 2017 - Modernizando las fábricas hacia el concepto de factorías 4.0 con Azure IOT
- 1. una consultora tecnológica que piensa en colores para organizaciones vivas una consultora tecnológica que piensa en colores para organizaciones vivas Modernizando las fábricas hacia el concepto de factorías 4.0 con Azure IOT
- 2. Alberto Diaz Martin – Chief Technology Innovation Officer Email : alberto.diaz@encamina.com Twitter : @adiazcan LinkedIn: https://es.linkedin.com/in/albertodiazmartin Alberto Diaz cuenta con más de 14 años de experiencia en la Industria IT, todos ellos trabajando con tecnologías Microsoft. Actualmente, es Chief Technology Innovation Officer en ENCAMINA, liderando el desarrollo de software con tecnología Microsoft, y miembro del equipo de Dirección. Para la comunidad, trabaja como organizador y speaker de las conferencias más relevantes del mundo Microsoft en España, en las cuales es uno de los referentes en SharePoint, Office 365 y Azure. Autor de diversos libros y artículos en revistas profesionales y blogs, en 2013 empezó a formar parte del equipo de Dirección de CompartiMOSS, una revista digital sobre tecnologías Microsoft. Desde 2011 ha sido nombrado Microsoft MVP, reconocimiento que ha renovado por sexto año consecutivo. Se define como un geek, amante de los smartphones y desarrollador. Fundador de TenerifeDev (www.tenerifedev.com), un grupo de usuarios de .NET en Tenerife, y coordinador de SUGES (Grupo de Usuarios de SharePoint de España, www.suges.es)
- 5. Industrial Internet of Things Connectivity Big Data AnalyticsThings Brilliant Machines Access anytime/anywhere Asset Management Enterprise Security
- 6. Un proyecto en una Industria
- 7. Factory floor Oil distribution Aircrafts Elevators Trucks Buses Power plant Engines Power tools Smart grids IoT Connect your things
- 12. Un ejemplo de lo que se puede hacer
- 14. Platform Services Infrastructure Services Web Apps Mobile Apps API Management API Apps Logic Apps Notification Hubs Content Delivery Network (CDN) Media Services BizTalk Services Hybrid Connections Service Bus Storage Queues Hybrid Operations Backup StorSimple Azure Site Recovery Import/Export SQL Database DocumentDB Redis Cache Azure Search Storage Tables Data Warehouse Azure AD Health Monitoring AD Privileged Identity Management Operational Analytics Cloud Services Batch RemoteApp Service Fabric Visual Studio App Insights Azure SDK VS Online Domain Services HDInsight Machine Learning Stream Analytics Data Factory Event Hubs Mobile Engagement Data Lake IoT Hub Data Catalog Security & Management Azure Active Directory Multi-Factor Authentication Automation Portal Key Vault Store/ Marketplace VM Image Gallery & VM Depot Azure AD B2C Scheduler
- 15. Servicios de Azure para IoT Devices Device Connectivity Storage Analytics Presentation & Action Event Hub SQL Database Machine Learning App Service IoT Hub Table/Blob Storage Stream Analytics Power BI DocumentDB HDInsight Notification Hubs 3rd party Databases Data Factory Mobile Services DataWarehouse Data Lake BizTalk Services { }
- 16. Device readData() { // Read data from the device } sendData() { // Send data to Ingestor } while(true) { readData(); sendData(); sleep(2000); } Large scale message ingester IoT Hub
- 17. Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device DeviceDevice Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device DeviceDevice Device Device Device Device Device Device Device Device Device Device Device Device Device Device readData() { // Read data from the device } sendData() { // Send data to Ingestor } while(true) { readData(); sendData(); sleep(2000); } Large scale message ingester IoT Hub Thousands of such devices that are generating data…
- 18. Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device DeviceDevice Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device DeviceDevice Device Device Device Device Device Device Device Device Device Device Device Device Device Large scale message ingester IoT Hub Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device DeviceDevice Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device DeviceDevice Device Device Device Device Device Device Device Device Device Device Device Device Device different
- 19. Large scale message ingester IoT Hub Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device DeviceDevice Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device Device DeviceDevice Device Device Device Device Device Device Device Device Device Device Device Device Device different
- 21. IoT Hub Device id Gateway Device C2D queue endpoint D2C send endpoint Device … Device … Device… IoT Hub management Device provisioning and authorization Device identity management C2D send endpoint Event processing (hot and cold path) D2C receive endpoint Msg feedback and monitoring endpoint Device management, device business logic, Connectivity monitoring Methods endpoint Twin endpoint Twins endpoint Devices Methods endpoint D2C custom endpoints Event Hub, Service Bus Topics, Service Bus Queues, Others... (hot and cold path)
- 22. IoT Hub Device id Gateway Device C2D queue endpoint D2C send endpoint Device … Device … Device… IoT Hub management Device provisioning and authorization Device identity management C2D send endpoint Event processing (hot and cold path) D2C receive endpoint Msg feedback and monitoring endpoint Device management, device business logic, Connectivity monitoring Methods endpoint Twin endpoint Twins endpoint Devices Methods endpoint D2C custom endpoints Event Hub, Service Bus Topics, Service Bus Queues, Others... (hot and cold path)
- 26. Mission critical reliability Lowest TCOFully managedProgrammer Productivity Ease of getting started Azure Stream Analytics SQL like query language Source/sink integrations No cluster provisioning Pay as you go Enterprise grade SLA
- 27. Data Manipulation SELECT FROM WHERE HAVING GROUP BY CASE WHEN THEN ELSE INNER/LEFT OUTER JOIN UNION CROSS/OUTER APPLY CAST INTO ORDER BY ASC, DSC Scaling Extensions WITH PARTITION BY OVER Date and Time Functions DateName DatePart Day, Month, Year DateDiff DateTimeFromParts DateAdd Windowing Extensions TumblingWindow HoppingWindow SlidingWindow Aggregate Functions SUM COUNT AVG MIN MAX STDEV STDEVP VAR VARP TopOne String Functions Len Concat CharIndex Substring Lower, Upper PatIndex Temporal Functions Lag IsFirst Last CollectTop Mathematical Functions ABS CEILING EXP FLOOR POWER SIGN SQUARE SQRT Geospatial Functions (preview) CreatePoint CreatePolygon CreateLineString ST_DISTANCE ST_WITHIN ST_OVERLAPS ST_INTERSECTS Advanced Query Patterns
- 28. Presentation & Action Storage & Batch Analysis Stream Analytics Event Queuing & Stream Ingestion Event production IoT Hubs Applications Archiving for long term storage/ batch analytics Real-time dashboard Stream Analytics Automation to kick-off workflows Machine Learning Reference Data Event Hubs Blobs Devices & Gateways PowerBI
- 31. Oil y Gas > Mantenimiento Predictivo Drilling Ops Azure Event Hub Azure Stream Analytics Azure Notification Hubs Repair Personnel La telemetría remota de la perforación se envía a Azure a través de una pasarela de campo in situ. Azure Stream Analytics extrae los datos de centro de eventos y el estado actual de los diversos componentes de perforación Azure Notification Hubs se utiliza para responder a los eventos.Una notificación con la información sobre el error se envía a los técnicos de reparaciones resultando en una reparación que es más barata de lo que sería si no se realizara a tiempo. También significa reducir el tiempo de inactividad. Azure Machine Learning Con Machine Learning analizamos el estado de los datos de perforación contra los valores de especificación y los valores previamente analizados para determinar que uno de ellos va a fallar.
- 32. Devices Azure IoT Suite Remote Monitoring Back end systems and processes Event Hub Storage blobs DocumentDB Web/ Mobile App Stream Analytics Logic AppsIoT Hub Web Jobs
- 33. IoT en Azure • Conectividad y Monitorización • Capacidad de Ingesta • Capacidad de Análisis en tiempo real • Transformación a nuevos modelos de negocio • Seguridad, Seguridad y Seguridad ActionsThings Insights
- 34. Contacto Para localizar o contactar con ENCAMINA puedes: Enviar un mail a: encamina@encamina.com info@encamina.com Llamar al 902 196 893 962 698 064 o 917 893 823 Enviar un fax al 962 698 063 Visitarnos en: Jerónimo Roure 49 46520 Puerto de Sagunto, Valencia. Paseo de las Delicias, 30. 7ª planta 28045 , Madrid, Madrid O hablar personalmente con tu gerente de cuenta
Notas del editor
- IoT Hub exposes a set of conceptual endpoints to access its functionalities. There are two endpoints for each device: one to send D2C msgs, one to receive C2D msgs. Devices can connect two both endpoints over the same connection. FGW and CGW are able to represent multiple devices by simultaneously connecting to D2C and C2D endpoints for many devices at the same time. On the app back-end side, the D2C receive endpoint is used by the event processing pipeline (ASA, Storm, custom, …), and by the device runtime logic component, which handles requests and command responses that come from devices. The device runtime logic component also uses the C2D send endpoint to send notifications and commands to devices. It also uses the msg feedback and monitoring endpoint. This is critical for IoT solutions where devices are reachable only through IoT Hub. In these very common scenarios, any problem on the connectivity between device and IoT Hub cannot just be reported as errors back to the device, but also to the app back-end in the form of events on this feedback endpoint. This makes possible the kind of monitoring that is required to achieve high operability of an IoT solution. In addition to these runtime endpoint, IoT Hub also has a device identity mgmt endpoint that is used by your solution’s device provisioning and mgmt component. Finally, an IoT Hub Manage endpoint is used to set security, functional, performance parameters.
- IoT Hub exposes a set of conceptual endpoints to access its functionalities. There are two endpoints for each device: one to send D2C msgs, one to receive C2D msgs. Devices can connect two both endpoints over the same connection. FGW and CGW are able to represent multiple devices by simultaneously connecting to D2C and C2D endpoints for many devices at the same time. On the app back-end side, the D2C receive endpoint is used by the event processing pipeline (ASA, Storm, custom, …), and by the device runtime logic component, which handles requests and command responses that come from devices. The device runtime logic component also uses the C2D send endpoint to send notifications and commands to devices. It also uses the msg feedback and monitoring endpoint. This is critical for IoT solutions where devices are reachable only through IoT Hub. In these very common scenarios, any problem on the connectivity between device and IoT Hub cannot just be reported as errors back to the device, but also to the app back-end in the form of events on this feedback endpoint. This makes possible the kind of monitoring that is required to achieve high operability of an IoT solution. In addition to these runtime endpoint, IoT Hub also has a device identity mgmt endpoint that is used by your solution’s device provisioning and mgmt component. Finally, an IoT Hub Manage endpoint is used to set security, functional, performance parameters.
- Azure C# nodejs
- Stream Analytics y Power Bi
- How does it work? As mentioned; the solution is a combination of multiple back-end components. This architecture diagram shows the individual Microsoft products and services that are utilized. Reference Architecture for Remote Monitoring solution, what products are used and why? -> Provision simulated devices with a C# device emulator running .Net. Create agents for Linux, iOS, Android and other platforms with C and Java language support. IoT Hub manages the two way communication between cloud and device and creates a secure command and control channel. Azure Stream Analytics creates and manages jobs to recognize threshold values or detect alarm triggers, sending this information where it needs to be escalated. Event Hub is queried by a web job running an event processor host to determine where and alarm or alert needs to be pushed – such as sending an alert to dashboard for a human operator to take action. Logic Apps are used to create more complex work loads and integrate into line of business and other proprietary applications. Document DB stores all the metadata and device properties for each connected device. Blobs store telemetry information and telemetry data. Other tools such as Azure Machine Learning and PowerBI can access this information for data visualization or processing advanced analytics. Webapp – Dashboard code is available in Github allowing it to be fully customized by the user to align with a scenario or be relevant for an enterprise application. Azure Active Directory controls user ID’s and access, allowing the service to be shared with relevant decision makers within the business but restrict access to certain controls or devices. PowerBI is used for both open-source embedded components within the dashboard and also for complex external analytics of trends and patterns across all stored data.