Fabrikam City council has conducted a six-month study of new and emerging technologies that can improve the lives of its citizens. Being the largest city in the US, the challenges most cities face are compounded by scale. Many of these challenges revolve around city traffic and public transportation.

At the conclusion of their study, the city council realized that the Internet of Things (IoT) is widely available and is becoming more integrated into our daily lives. Fabrikam City can capitalize on the wide availability and affordability of IoT devices. This means physical things like traffic lights and vehicles will be able to collect and share data by connecting to the Internet. Through analytics, cities can turn this data into intelligent information that will change the way the world works.

June 2020

• Application developer
• Data engineer

In this workshop you will use the unique benefits of the Internet of Things (IoT) to build a smart city solution to help improve traffic and public transportation in Fabrikam City. Use a combination of the power of the cloud, along with IoT Edge devices to provide anomaly detection from city buses, including engine anomaly alerts and aggressive driving detection, as well as location broadcasting to update bus route status. Traffic lights will also receive new IoT devices that can help detect maintenance and performance issues, such as voltage irregularities. Easily view all of this information through a centralized reporting dashboard provided by the Azure Remote Monitoring Accelerator web application. Use the IoT Remote Monitoring accelerator to manage and simulate IoT devices, set alerts, and view data on a map.

By the end of this workshop, you will learn to use IoT Hub to manage IoT devices, configure and run the IoT Remote Monitoring accelerator to provision, manage, and simulate telemetry for IoT devices, use Azure IoT Edge to collect vehicle telemetry data, detect anomalies, and send the summarized data to Azure IoT Hub as needed. In addition, you'll route critical alerts to a Service Bus Queue, create an Azure function that extracts critical alerts from the Service Bus Queue and stores them in Cosmos DB, as well as use Azure Time Series Insights to store, visualize, and query the large amounts of time series data generated by various IoT devices.

This whiteboard design session is designed to help you gain a better understanding of implementing architectures that use IoT data in new and innovative ways. You will design an IoT workflow that begins with a local IoT edge device that collects and analyzes data from various sensors that are connected to it, and intelligently aggregates and sends that data to the cloud when anomalies are detected, other non-critical data is uploaded to cloud storage when a viable internet connection is available. Once the data is uploaded, it is sent to a time-series database for rapid analysis alongside other classes of IoT data to spot and act on correlated information in real-time. You will also configure alerts when certain thresholds are exceeded and configure a remote monitoring solution that manages and sends control messages to IoT devices located within the city limits.

At the end of this whiteboard design session, you will be better able to design an end-to-end IoT solution that processes and analyzes data both in the field and in the cloud.

In this hands-on-lab, you will build an end-to-end smart city solution, beginning with IoT Edge devices deployed with modules that you create which intelligently filters vehicle telemetry data for anomalies and transmits the related data to IoT Hub. IoT Hub is responsible for managing IoT devices and facilitating two-way communication between those devices and Azure services. The telemetry data will be stored in Time Series Insights, and all critical data will also flow through an Azure Function that routes critical alerts to a Service Bus Queue for separate processing and storage. You will deploy and configure a remote monitoring accelerator solution that includes a web portal that displays all IoT data on a map and displays alerts based on pre-configured rules for each type of IoT device. You will also use this portal to configure IoT devices and send control messages to them via IoT Hub.

At the end of this hands-on lab, you will be better able to build an end-to-end IoT solution that processes and analyzes data both in the field and in the cloud.

• Azure IoT Hub
• Azure IoT Edge
• Azure Stream Analytics
• Azure Time Series Insights
• Azure Storage
• Azure Event Hub
• Azure Service Bus
• Visual Studio
• Visual Studio Code

Internet of Things

• MCW

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