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Internet Of Things: What You Need To Know

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Internet Of Things: What You Need To Know Presented By: Richard Harbridge


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Richard Harbridge My twitter handle is @RHarbridge, blog is http://RHarbridge.com, and I work at Speaker | Author | Super Friendly


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What we will talk about today… Why IoT Matters… What is IoT? IoT Challenges… Microsoft’s IoT Investments… IoT Scenarios…


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What we will talk about today… Why IoT Matters… What is IoT? IoT Challenges… Microsoft’s IoT Investments… IoT Scenarios…


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Leading Industry examples: utilities, insurance, agriculture, factory, automobiles, transport, consumer, etc. Some Stats…


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Technology Trigger Peak of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity Turns out it’s at the peak of the hype cycle right now… How much is just hype…


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We will see this space transform and take shape in the next few years. It’s still important…


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Command and control scenarios have much in common with parts of IoT… IoT solutions worked for complex and expensive where the cost of a custom Hardware/software solution is acceptable compared to the cost of the device. Is this even a new thing?


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For high-volume, homogeneous devices, where software needs are simple. Thermostat is cheap, does simple tasks and requires simple analysis. This is feasible because you amortize the cost of the software across many units. Is this even a new thing?


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Vending machine and some of these have been around for a long time. Internet of things 5 years ago…


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Due to costs and innovation you can do it with more things for less. Internet of things now…


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Koomey’s law is important for IoT. We can do more with less power. Disruptive forces… 1970 1980 1990 2000 2010 10,000,000,000 1,000,000,000 100,000,000 10,000,000 1,000,000 100,000 10,000 1,000 Transistors Moore’s Law Metcalf‘s Law Koomey’s Law 1.E+14 1.E+12 1.E+10 1.E+08 1.E+06 1.E+04 1.E+02 1.E+00 Computations per KWh 1940 2010 1975


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Development is easy New Innovative Scenarios Huge benefits fuel demand This is relevant now and will become even more mainstream as time passes. Iot is at an inflection point…


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What we will talk about today… Why IoT Matters… What is IoT? IoT Challenges… Microsoft’s IoT Investments… IoT Scenarios…


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What we will talk about today… Why IoT Matters… What is IoT? IoT Challenges… Microsoft’s IoT Investments… IoT Scenarios…


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Cost of compute and innovation has driven progress in the ‘things’ space. What is The Internet of things? Things & Devices


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Connectivity isn’t just about wi-fi. You need to know wire protocols! Connectivity & Communication Things & Devices What is The Internet of things?


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Here are the key wire protocols and a little about each. Things & Devices AMQP Advanced Message Queuing Protocol What we use… Born on Wall St… Wire Protocols MQTT MQ Telemetry Transport Most common… Comes from IBM… CoAP Constrained Application Protocol Think… like REST but small… OMA LWM2M XMPP OMA Lightweight M2M Device management is possible with this! Extensible Messaging & Presence Protocol Jabber? XML? What is The Internet of things?


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Don’t forget you need to know about different connectivity options. What is The Internet of things?


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It’s important to understand how information is exchanged (basic IoT comm). What is The Internet of things? 1011011 I’m okay. Do this. Now. Info


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The point of IoT is to gather the data. It’s what we hope to get value from. Things & Devices Data What is The Internet of things?


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Analytics unlocks the value from the data. It’s where the value get’s realized. Things & Devices Data What is The Internet of things?


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What we will talk about today… Why IoT Matters… What is IoT? IoT Challenges… Microsoft’s IoT Investments… IoT Scenarios…


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What we will talk about today… Why IoT Matters… What is IoT? IoT Challenges… Microsoft’s IoT Investments… IoT Scenarios…


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While this may seem daunting don’t worry we can overcome all of these. IOT challenges…


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So how do you begin addressing these challenges? Why with Azure IoT… first Principles…


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What we will talk about today… Why IoT Matters… What is IoT? IoT Challenges… Microsoft’s IoT Investments… IoT Scenarios…


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What we will talk about today… Why IoT Matters… What is IoT? IoT Challenges… Microsoft’s IoT Investments… IoT Scenarios…


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The problem is handling device volume and scaling over time. Not with MSFT. Scale iot with Microsoft…


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+ Visual Studio & UWP Microsoft investments continue in the IoT space. Windows IOT Editions…


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Microsoft made an awesome variant of Windows 10 just for this! Windows Iot Core… These are popular devices. Raspberry Pi the most popular. Keep in mind these are large devices in the big scheme of things. There are smaller more energy efficient devices if you are looking to do more cost effective solutions. Architected to run on ARM and x86 devices… AllJoyn support facilitates autonomous discovery and interaction with nearby IoT devices. (More peer to peer versus only hub and spoke.) No Windows shell. Remotely configure, monitor and deploy apps via SSH, web and PowerShell.


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Apps for the Windows IoT core means universal and easier to build apps! Is this really that interesting?


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Azure Certified for IoT program helps customers quickly identify hardware and software offerings verified to work with Azure IoT services. Azure Certified Internet Of Things…


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Device Connectivity & Management Event Hubs High scale telemetry ingestion service HTTP/AMQP protocol support Each Event Hub supports 1 million publishers 1GB/s ingress Generally available worldwide 18 Billion messages per day 60+ TB ingested per day Devices can either connect themselves to a Cloud Gateway, or the devices need to talk to the field gateway which would handle protocol adaptation for ingestion. The big picture…


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This is a very important area of consideration. Which is why… Device Connectivity & Management Additional IoT Needs Command & control Device identity Device registry Device management The big picture…


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Device Connectivity & Management IoT Hub Capability of the Azure IoT Suite Bi-directional device <-> cloud Up to 10 million devices Telemetry ingestion Command & control Device registry & identity Device Management HTTP/AMQP Extensible protocol support / MQTT This is based on Event Hub but handles Device Registry, Identity and Management – which helps take MSFT IoT services to the next level. The big picture…


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Cross platform device support is important. Device Connectivity & Management Cross-Platform Device Support Open source “agent” framework Simple, secure device <-> cloud connectivity & management RTOS, Linux, Windows, Android, iOS Easy to use, not required Cross Platform C Code OS Abstraction Layer / OS Bindings C API .NET API Java API Javascript API The big picture…


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The data can then get analyzed, combined and stored for usage. Device Connectivity & Management Analytics & Operationalized Insights Find insights to Power new services Improve your “things” Operationalize your insights in real time IoT Scale Object Models & Business Logic The big picture…


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Lastly we get connectivity with business data, presentation of the data and more! Device Connectivity & Management Analytics & Operationalized Insights Presentation & Business Connectivity The big picture…


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This greatly speeds up the implementation of common IoT architecture patterns. Azure IOT Suite (Preview)


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{ } The services we will focus on today are circled in red. Azure IOT Services… Don’t forget… IoT Suite (Preview) & IoT Hub (Command & Control, Security, Reg & Ident & More…)


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{ } The services we will focus on today are circled in red. Azure IOT Services…


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Heterogeneous Client Libraries… Along with tools (Serializer, Device Explorer (debug/eval), mbed tools, samples…) Multi-platform (Linux, RTOS, mbed, node.js, Windows), multi-language client libraries (C, C#, JavaScript, Java) reduce the friction in connecting your disparate sensors and line-of-business assets to Azure Event Hubs. Clients securely send AMQP telemetry via TLS directly to the cloud or via gateways (protocol gateway supports MQTT). Data is buffered when network is unavailable and messages are batched to improve communication efficiency.


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{ } The services we will focus on today are circled in red. Azure IOT Services…


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Azure Event Hubs… Event Hubs are a scalable service for ingesting data from line-of-business assets and sensors. Stream millions of events per second with elastic scale. Scalable publish-subscribe telemetry ingestors TTP/AMQP Protocol Support Pluggable adapters for other cloud services Security ensured via Shared Access Signature (SAS) tokens to authenticate clients.


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{ } The services we will focus on today are circled in red. Azure IOT Services…


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Document DB… Document DB is a fully managed NoSQL document db service. NoSQL JSON and JavaScript DB Service JSON DB for rapid Development Schema free – for storage and query Automatic indexing of every document property CRUD access, query, and JavaScript processing Integrates with HDInsight, Azure Search, etc.


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{ } The services we will focus on today are circled in red. Azure IOT Services…


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Azure HDInsight… Azure HDInsight is a 100% Apache Hadoop-based service in the cloud meant to process unstructured or semi-structured data. Deployable in Windows or Linux Connects with on-premises Hadoop clusters Scales from terabytes to petabytes on demand Processes unstructured or semi-structured data from devices and sensors Apache Storm for real-time events Apache Spark for in memory data analysis


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{ } The services we will focus on today are circled in red. Azure IOT Services…


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Azure Stream Analytics… This is a distributed stream computation service that integrates with Event Hubs to provide low latency, real-time processing of millions of events per second. Write queries in SQL with familiar operators and functions to filter and join static and streaming data. Intake millions of events per second (up to 1 GB/s) Correlate between different streams, or with static data or models Easy processing on continuous streams of data Enables the detection of anomalies. Ability to trigger an alert when a specific error or condition appears.


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{ } The services we will focus on today are circled in red. Azure IOT Services…


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Azure Machine Learning… Cloud based predictive analytics engine that was designed for “applied” machine learning. Streamlined experience for data scientists, across multiple skill levels Drag-and-drop, and data-flow graphs to set up experiments Build and test predictive models, predict future trends or behavior Publish models as a fully managed web service (API)


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{ } The services we will focus on today are circled in red. Azure IOT Services…


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Azure Notification hubs… It is a scalable mobile push notification engine that can target millions of devices/messages with single API call. Target audiences with dynamic tags. Tailor notifications by audience, language, and location Use with any back end, in the cloud or on-premises Dynamically define and reach audience segments


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{ } The services we will focus on today are circled in red. Azure IOT Services…


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Microsoft Power BI… Power BI provides a live, single pane of glass dashboard solution for visualizations and KPIs that is intuitive to use and enables users to do more. Cloud based business analytics service: Track data in real-time with support for streaming data Drill through to underlying reports to explore and discover new insight Pin new visualizations and KPIs to monitor performance


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This is where the integration and developer vision meets. Easy and impactful. http://developers.de/blogs/damir_dobric/archive/2015/06/14/integrating-iot-with-logicapps.aspx P.S. – Azure Logic Apps Are sweet.


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What we will talk about today… Why IoT Matters… What is IoT? IoT Challenges… Microsoft’s IoT Investments… IoT Scenarios…


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What we will talk about today… Why IoT Matters… What is IoT? IoT Challenges… Microsoft’s IoT Investments… IoT Scenarios…


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Improving Healthcare… Using technology in these ways can go beyond the hospital facilities as well. Patient Azure Event Hub Azure Stream Analytics Azure Notification Hubs Dispatch Nurse Remote patient telemetry containing vital signs, medicines being administered and other environmental factors is securely streamed over the Internet to Azure Event Hub. Azure Stream Analytics pulls data out of Event Hub and observes that the patient’s temperature has exceeded a predetermined threshold of 100 degrees. Azure Notification Hubs is called to facilitate the response to this event. A push notification with the patient information is sent to the appropriate nurses station where an alert is displayed on the patient health telemetry screen resulting in an immediate visit to the patient.


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Increasing Revenue… There are scenarios in merchandising where this insight can be invaluable. Thing Azure Event Hub Azure Stream Analytics Remote telemetry containing inventory, sales, alarms and other status events are securely sent to Azure Event Hub. Azure Stream Analytics pulls data from Event Hub and determines that employees on the 3rd floor of the building love white powdered donuts and purchase them 3 times more often than any other snack in this particular vending machine. You act on this granular merchandising information by tripling-up on the number of spirals selling white powdered donuts. This vending machine now makes you more money because you’re catering to the needs of a very specific audience. Thing $$


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Increasing revenue… This time we achieve more revenue with the power of location and new consumer experiences. Thing Azure Event Hub Azure Stream Analytics Azure SQL Database Remote telemetry containing inventory, sales, alarms and other status events is securely streamed over the Internet to Azure Event Hub. Azure Stream Analytics pulls data out of Event Hub and inserts the product inventory, GPS location plus the building address and floor in Azure SQL Database. A smartphone app provided by the vending machine owner combines location based services along with snack and drink preferences entered by the customer to find a nearby vending machine with the items the customer is searching for. A match between inventory, customer preferences and location is made, resulting in a sale. Thing $$ GPS


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Drilling Ops Azure Event Hub Azure Stream Analytics Azure Notification Hubs Repair Personnel Remote drilling telemetry is securely streamed over the Internet to Azure Event Hub via an onsite field gateway. Azure Stream Analytics pulls data out of Event Hub and passes the current state of various drilling components to Azure Machine Learning Azure Notification Hubs is called to facilitate the response to this event. A push notification with information about the failing component is sent to appropriate repair personnel resulting in a repair that is cheaper than it would be if the component failed. It also means reduced or no loss up uptime. Azure Machine Learning Machine Learning analyzes the incoming state of drilling components and models them against on-spec values and previously analyzed values to determine that one of them is going to fail. Predictive Maintenance… Reduction in risk and working smarter with machine assisted prediction.


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Finding parking… City services and other improvements can come from IoT innovation. Street Parking Azure Event Hub Azure SQL Database A magnetic sensor embedded in the street sends remote telemetry containing the presence of a car and location to a field gateway mounted on a nearby street light which securely streams this data over the Internet to Azure Event Hub. An event processor pulls data out of Event Hub and inserts it into Azure SQL Database while calling Azure Notification Hubs so it can respond to the update. A push notification is sent to the smartphone, tablet, or in-dash Azure Mobile Services app which then syncs with Azure SQL Database to alert the nearby driver of the location of the open parking space. Driver Looking for Parking GPS Azure Notification Hubs


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Increasing revenue… While examples are vending machines this applies for many other situations. Thing The use of Bluetooth Low Energy beacons allows vending machines to notify customers that they contain the snack or drink item the person is looking for as they walk by. A customer with a beacon-enabled smartphone with a beacon-aware app from the vending machine owner receives an advertisement from the beacon when walking near the vending machine. The smartphone app makes an API call to query the Azure SQL Database with the unique beacon identifier and the customer’s preferences. Bluetooth LE Beacon Remote telemetry containing inventory, sales, alarms, the unique beacon identifier and other status events is securely streamed over the Internet to Azure Event Hub, through Stream Analytics and inserted into Azure SQL Database. Azure SQL Database If the vending machine has a snack or drink the customer wants, it makes a standard or discount offer via the app and a sale is made. Thing Bluetooth LE Beacon $$


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Fleet Management… Explore a scenario with a clear walkthrough on how fleet management can be significantly improved in the transportation industry. Truck maker digital transformation. http://www.microsoftazureiotsuite.com/demos/remotemonitoring


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Start small and learn from the data, but definitely start ASAP. ? Here are some of the biggest Iot risks… Understand the business model Old ways of thinking can be dangerous Beware of new patterns: eventual consistency, etc. Don’t focus on the device Carefully consider security Avoid analysis paralysis. It’s better to do and learn.


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Device Connectivity & Management Analytics & Operationalized Insights Presentation & Business Connectivity The next step is to get inspired and go DO things. Hopefully this makes more sense now…


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Thank You! Organizers, Sponsors and You for making this possible. 100+ Awesome Presentations At.. Slideshare.Net/RHarbridge Windows On Devices.. WindowsOnDevices.com MSFT Vision for IoT.. Creating The Internet Of Your Things IoT Dev Center.. https://azure.microsoft.com/en-us/develop/iot/ Message Me On LinkedIn or Email Richard@2toLead.com Speaker | Author | Super Friendly Twitter: @RHarbridge. More to come on our blog at http://2toLead.com.


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Additional Resources? Provided to help put everything in one single slide deck. Just for you! IoT Business Maturity Model Architecture Slides Customer Stories


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IoT Business Maturity Model 1. Operational efficiency Rules and alerting to improve operational efficiency Monitor and track device state, location and health Connect devices and monitor telemetry Things


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Operationalize insights to improve things and processes in real time Discover patterns in device data using predictive analytics Analyze and visualize data from devices Things IoT Business Maturity Model 2. Business Intelligence


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New partnership opportunities Expand into new adjacent businesses Combine IoT & other data with advanced analytics to power new services and revenue streams Things IoT Business Maturity Model 3. Business Transformation


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Operational Technology (OT) Information Technology (IT) IT / OT Collaboration


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Enterprise IT / OT Collaboration Enables IoT


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IT and OT engineers will collaborate in making “cyberphysical” systems safe and secure. IT / OT Collaboration & Cyberphysical Security Know how to make physical things safe and secure Standards, Procedures, Training, Continuous Improvement Physical access management Hazard and Risk Analysis Monitoring and Maintenance Fail Safe and Safety Equipment Know how to make digital things secure. Secure Development Lifecycle Secure Network Technologies Threat & Vulnerability Mitigation Monitoring and Alerting Software/Firmware Auto-Updates Privacy Models IT Engineers OT Engineers


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Microsoft IoT Comprehensive solutions from device to cloud


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Cloud Based IoT Solutions


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Azure IoT Reference Architecture


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Event Hub Stores Streaming Data Stream Analytics processes events as they arrive in the EventHub AML Model Web Service BES endpoint Power BI / D3 Dashboard Data for Real-time Processing Aggregations External Data Azure Services Azure SQL Contains Historical Data Real time data stats Azure Data Factory Pipeline invokes AML Web Service Real Time Batch Example Architecture - Push Real Time Telemetry Data Azure Data Factory Pipeline Moves Data Batch updates of predictions


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Data for Real-time Processing Real Time Energy Consumption Data (Public Source) Event Hub Stores Streaming Data Stream Analytics processes events as they arrive in the EventHub AML Model Web Service BES endpoint Power BI / D3 Dashboard Data Stream Job Hourly Prediction Updates External Data Azure Services Copy to Azure SQL for batch predictions Scrape Data 5 mins Azure WebJob Runs jobs to scrape data from public source Azure SQL Contains Historical Energy Consumption Data Real time data stats Azure Data Factory Pipeline invokes AML Web Service Real Time Batch Example Architecture - Pull


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Accelerate time-to-value Easy deployment of IoT applications for the most common use cases Remote monitoring, asset management, and predictive maintenance Simplified & predictable billing Plan and budget appropriately through a simple predictable business model Scale to meet your needs without redesigning Start with a proof of concept Grow and extend to support millions of assets without redesigning Microsoft Azure IoT Suite


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Azure IoT services Microsoft Azure IoT Suite Accelerate your business transformation Azure IoT Suite Predictive Maintenance Remote Monitoring Asset Management And more… Addresses common scenarios: Enables you to Mine data Take action Connect assets


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IoT Platform Convergence v6.5 Windows Embedded Handheld Windows Embedded Windows on Devices Windows Embedded Standard v8.1 Converged OS kernel Converged app model v7 Windows Embedded Compact v2013 Porting Tools v8 v7


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CHALLENGE Rockwell Automation is the world’s largest industrial automation and information firm with 22,500 employees and customers in more than 80 countries. Rockwell Automation wanted to transform the way they do business in the oil and gas industry by bringing the data generated by even the most remote assets into the cloud and using advanced analytics to provide unprecedented business insights. Improves access to production and supply chain data worldwide, reducing downtime costs by as much as $300,000 per day Modernizes transaction data by replacing a paper-based system with immediate electronic records Enables data insights that help customers orchestrate everything from deliveries to equipment maintenance BENEFITS SOLUTION Rockwell Automation created a solution to monitor expensive capital assets and use that data to improve operational efficiency, drive better performance and enable innovation. Based on Microsoft Azure Internet of Things services, the solution collects, integrates, and organizes sensor data from remote equipment across global supply chains to support real-time insight, predictive analytics, and preventive maintenance. ROCKWELL AUTOMATION Fueling the oil and gas industry with IoT “What we’re talking about is delivering a degree of collaboration and visibility unheard of in the oil and gas industry.” Doug Weber Business Manager, Remote Application Monitoring


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CHALLENGE Operated by Stanford University for the United States Department of Energy, the SLAC National Accelerator Laboratory is a 50-year-old, two-mile-long particle accelerator and research center. Over the years, six scientists have received Nobel prizes for work conducted there. To ensure continuous availability of this critical scientific resource and keep it running as smoothly as the day it was built, SLAC teams are collaborating to explore the Internet of Things (IoT). Keeps science accelerating by collecting and analyzing potentially millions of data points in near-real time to predict potential failure Helps technicians understand how disparate systems interoperate, so they can upgrade more strategically and avoid downtime Continually increases precision by feeding information back into Azure Machine Learning on the root causes of detected anomalies BENEFITS SOLUTION SLAC is collecting data from intelligent sensors and feeding it into the cloud where it can be analyzed for early detection of anomalies — allowing engineers to anticipate problems, take action and prevent failure. Working with Microsoft Open Technologies, SLAC used the open-source project ConnectTheDots.io to integrate the diverse array of sensor formats in one of its klystron cooling systems. Azure Event Hubs then packages and routes the data to Azure Machine Learning for near-real-time analysis. SLAC National Accelerator Laboratory Transforming subatomic research with IoT “The advantage we gain is that the algorithms can look through everything at once and just return the things we actually need to focus on, so we can take action. Marcus Keenan Manager of Instrumentation and Controls for Facilities and Operations


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CHALLENGE The Monterey Regional Water Pollution Control Agency is one of the nation’s largest water recycling facilities for crop irrigation—treating 20 million gallons daily. Monterey wanted to find out why their facility was experiencing unusually high energy usage but didn’t have the data necessary from their existing control systems. They wanted to avoid expanding their existing control system —taking many months and hundreds of thousands of dollars—opting to seek an IoT solution instead. Provided $160K in deployment savings and was up and running within 30 days, needing only onsite electricians to install. Created 140,000 data points daily, enabling analyses of inefficient processes to save energy costs. Expansion of system with Azure Stream Analytics and Power BI to provide process scenario simulations using real data. BENEFITS SOLUTION Candi Controls created a solution for MRWPCA that was running within 30 days and that cost less than $40K. Commercial-class IoT submeters were placed at 20 key plant processes to measure energy usage at 30 second intervals providing the granular, real-time data Monterey Water needed to optimize plant processes. The existing deployment is being enhanced with Azure Stream Analytics and Power BI to better manage and optimize energy usage in future. CANDI CONTROLS Using IoT to flush out inefficient processes for Monterey Water “Using off-the-shelf sensors with the Candi IoT Platform gave Monterey Water the data they needed to realize significant energy savings & power demand reduction.” Steve Raschke CEO, Candi Controls, Inc.


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CHALLENGE Fujitsu is the world’s fourth-largest IT services provider with approximately 162,000 employees in more than 100 countries and holds about 97,000 patents worldwide. Fujitsu wanted to help dairy farmers increase production, improve data insights and transform their business by optimizing the timing of artificial insemination (AI). It also wanted to decrease loss through early detection of health issues. Improves calf production up to 31%, with an average of 12% Modernizes data access with mobile phone alerts, reducing labor costs for monitoring cows Transforms herd management by allowing farmers to increase chances of producing a male or female calf Reduces loss by detecting 8-10 different kinds of diseases in cattle BENEFITS SOLUTION Fujitsu learned from public research that a cow produces more estrus (goes into heat) 16 hours after the number of steps increases significantly. The company created an innovative solution which uses a rugged pedometer with a five-year battery to measure the number of footsteps a cow takes, then sends that data to the cloud for analysis to determine optimum AI timing and even affect calf gender. In addition, the patterns of steps can detect disease in cattle. Alerts are delivered to the farmer’s cell phone. FUJITSU The connected cow: Using IoT to transform cattle production


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