Internet de las Cosas. Armando Blanco Especialista IoT / AI
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1 Internet de las Cosas Armando Blanco Especialista IoT / AI armando.blanco@microsoft.com
2 2005 PAPA BENEDICTO XVI
3 2013 PAPA FRANCISCO
4 Our vision about Internet of Things Things Connectivity Data Analytics New Business Models
5 Business Transformation Is Happening
6 Smart Campus Azure Power BI Sensors Building controllers Field gateways Actuators Aggregators Storage Analytics Dynamics 365 Sensors or existing building management systems On-premise edge Microsoft cloud-based energy solution User Dashboards 164 Buildings in Puget Sound 30,000 pieces of equipment 2,000,000 data points collected every 5 minutes 500,000,000 transactions added daily to event database 30,000 faults surfaced per day
7 All open, extensible, scalable & secure Azure IoT Suite Get started in minutes and customize to meet your needs Cortana Intelligence Suite Transform data action with one comprehensive offering
8 Building a Strong Ecosystem
9 Azure IoT Edge IoT Hub Devices Azure Machine Learning (Container) Module Twin Azure Stream Analytics (Container) Module Twin Azure Functions (Container) Module Twin Cognitive Services (Container) Module Twin Custom Code (Container) Module Twin Container Management Functions Runtime Local Storage Device Twin Device Twin Module Module Twin Module Twin Module Twin Module Twin Twin
10 Connectivity
11 IoT Flow
12 Azure IoT Services Microsoft s vision is to allow organizations of all sizes to access the benefits of IoT and provide the foundation for digital transformation Microsoft IoT Central Fully managed SaaS Best used when you need to get started quickly with minimal IoT experience Azure IoT Edge + Edge processing Azure IoT Suite Customizable PaaS Best used when you need a lot of control over your IoT solution Adds capacity to do local processing Data and AI LATAM 2018
13 Complete IoT Portafolio Solutions (PaaS) Solutions (SaaS) Azure IoT Suite (PaaS) Preconfigured solutions for common IoT scenarios Microsoft IoT Central IoT SaaS Microsoft Dynamics Connected Field Service Technologies (PaaS) Device support IoT Data and Analytics Visualization and Integration Azure IoT Device SDK Azure IoT Hub Azure Stream Analytics Azure HD Insight Microsoft Flow Azure Active Directory Azure IoT certified devices IoT Hub Device Provisioning Service Azure Time Series Insights Azure Data Lake Analytics Azure Logic Apps Microsoft Power BI Security Program for Azure IoT Edge Azure Machine Learning Azure Data Lake Notification Hubs Azure Monitor Windows 10 IoT Azure IoT Edge Cosmos DB Azure Websites Data and AI LATAM 2018
14 Scenario Agro Greenhouses The customer was searching for an innovative solution in order to measure critical factors that affect production yield: Temperature Humidity Soil moisture Soil temperature PH Radiation (Joules) Power Availability
15
16 Fleet Management What is what the customer looking for? Fuel theft prevention Remote Monitoring Predictive maintenance Not all trucks need maintenance at same time Mobile Apps
17 Gaining visibility into remote equipment status Global Control Room ANCHORAGE CALGARY HOUSTON CLEVELAND HALIFAX ABU DHABI KUALA LUMPUR OIL RIGS PIPELINE FLOW RATES PIPE STATUS PREDICTED FAILURE 10 DAYS DISPATCH MAINTENANCE NC276 NC283 NC863 NC OIL REFINERIES TANKER TRUCKS TANK TEMPERATURE MAINTENANCE IN PROGRESS GAS VOLUME OPTIMAL VOLUME TANK BELOW CAPACITY MILLIWATTS (THERMAL) > <40 GAS STORAGE OPTIMAL FUEL VOLUME TANK BELOW CAPACITY LNG RETAIL STATIONS ESTIMATED DELIVERY TIMES From N, W AVERAGE TRANSIT TIME 93.5% 1 Day 4.3% 2 Days 1.% 3 Days 0.2% 4 Days Objectives Rockwell Automation wanted to better monitor expensive, remote equipment across the petroleum supply chain. Time-consuming collection and analysis of data led to lack of insight into potential issues and failures around the clock Tactics Rockwell Automation built a solution with Microsoft technology that collected and integrated sensor data from remote equipment and used that data to gain increased visibility. Customers were able to improve efficiency, drive better performance and enable innovation Results Reduced costly downtime by instantly alerting customers to potential issues and failures Improved business growth by supporting services like remote troubleshooting and predictive maintenance
18 -1 Thu Fri Sat Sun Mon Tue Powering remote schools and clinics with access to electricity Remote monitoring provides on-site guidance on how to optimize power resources Clinics no longer run on unreliable diesel generators, making care accessible 24 hours a day with light and refrigeration ALERT MESSAGE Remote monitoring suggests the panels in Solar Arrays 1 and 2 are becoming restricted by debris Remote Control Temperature Students can charge flashlights at school to study at home in the evenings Solar Irradiance vs. Charge Charge vs Potential % Objectives The average Nigerian can only count on having electricity for a few hours a day due to erratic diesel generators. Without a reliable source of power, clinics and schools experienced frequent power outages. Schneider Electric wanted to change that. Tactics Schneider Electric connected their electronic devices to the cloud, enabling remote monitoring, diagnostics, and real-time tracking of energy usage patterns. This empowered them to see declining performance and proactively address issues Results Enabled technicians to monitor conditions and notify onsite personnel about problems before an outage Ensured sustainable, continuous solar power supply to over 200 schools and clinics
19
20 Industrial IoT drives business transformation Deep & continuous engagement Connected Smart Product Product + Services #3 Transform processes and reduce Operational Cost #1 Better Service with Lower Cost #2 Expanded offerings and New Services
21 Delivering excellence in digital manufacturing Mixed Reality for Digital Twin Industrial IoT Artificial Intelligence and Cobots 3D Printing Mobility Information Flow (OT) Collaborative equipment Ecosystem Interaction Industry 4.0 Design Principles Vertical integration Horizontal integration End-to-end engineering CRM SRM ERP Process interoperability (IT) Advanced Analytics
22 Delivering excellence in digital manufacturing Cortana Intelligence Suite and Cognitive Services HoloLens Azure IoT Suite Microsoft 3D Tools and Windows 10 IoT Core Autonomous solutions Information Flow (OT) Collaborative equipment Ecosystem Interaction Industry 4.0 Design Principles Vertical integration Horizontal integration End-to-end engineering CRM SRM ERP Process interoperability (IT) Machine Learning, Stream Analytics, and Edge analytics Extensive partnerships across digital ecosystem Trusted Secure Compliant Platform interoperability across the cloud continuum
23 PI Server Data Streaming Through Event and IoT Hubs Notifications Event Frames Asset Analytics Event Hubs / IoT Hubs Stream Analytics Power BI PI Asset Framework PI Data Archive PI Server
24 24 An example of how to operationalize predictions DATA SOURCES PREPARE INGEST ANALYZE PUBLISH CONSUME PI System PI Integrator for Microsoft Azure Machine Learning SQL Data Warehouse Cortana Power BI Predictions as Future Data Azure Data Factory (Orchestration) Web/LOB Dashboards On Premises On Cloud
25
26 Data visualization and consumption Business productivity and process optimization Cloud continuum Artificial intelligence and Cognitive Services Sensors and devices Edge analytics Device agent Device connectivity and management Data management and insights
27 User experiences Dashboards Home Mixed Reality Interactive speech Gestures Enterprise business processes Preconfigured Azure IoT Suite and SaaS applications L4: Business Planning CRM PLM ERP SCM Remote monitoring Predictive maintenance Connected factory Microsoft IoT Central Operations Technology MES & Enterprise IT Business integration Analytics and artificial intelligence L3: Mfg Ops Mgmt, MES, CAD, PLM SQL Server Azure Stack Logic Apps API integration BizTalk Services HDInsight Machine Learning Data Lake Analytics Azure Time Series Insights Cognitive Services Bot Framework L2: Supervisory Control, SCADA, HMI L1: Plant Control PLC, DCS, IPC L0: Physical Equipment, I/O, Devices, Sensors Stream Analytics Device Agent Edge Analytics on edge Cloud Gateway Field Gateway Azure IoT Gateway Azure IoT Hub (device provisioning) Hot path analytics and application platform Stream Analytics Event Hubs Service Fabric (Actors) Functions Cold path analytics and storage Data Factory DocumentDB SQL Database Data Lake Store
28 Innovation at work real IoT use cases Keeping farmers informed about when to irrigate, how to control diseases, and fighting pests, has led to increased yields of 30%, and a 20% reduction in water use. Licorice extruders on Twizzler s production line are performing at peak optimization, saving over $500K/year on materials alone Tetra Pak s has cut downtime cut down for each packaging line by up to 48 hours, saving 30,000 for customers. RAC has reduced its accident rate by 25% and fuel usage by 20%, reporting annual savings of $1.8 million Data and AI LATAM 2018
29 Data and AI LATAM 2018
30 Innovation at work real IoT use cases Título Auto Data and AI LATAM 2018 Public Safety
31 Armando Blanco Especialista IoT / AI armando.blanco@microsoft.com Muchas Gracias!
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