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Use the unique benefits of Internet of Things (IoT) to build a smart city solution to help improve traffic and public transportation in New York City. Use a combination of the power of the cloud, along with IoT Edge devices to provide anomaly detection of city buses (engine anomalies and aggressive driving detection), location broadcasting to update bus route status, and to send traffic information to help inform the timing of traffic lights. 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 Azure Time Series Insights. Use the IoT Remote Monitoring starter solution to manage and simulate IoT devices, set alerts, and view data on a map.
IoT for Business hands-on lab is an exercise that will challenge you to implement an end-to-end scenario using a supplied sample that is based on IoT Hub, IoT Edge devices, Cosmos DB, Time Series Insights, Service Bus, and related Azure services. The hands-on lab can be implemented on your own, but it is highly recommended to pair up with other members at the lab to model a real-world experience and to allow each member to share their expertise for the overall solution.
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Before the hands-on lab
Set up IoT Remote Monitoring Solution environment
Provision additional Azure services
Create bus and traffic light simulated devices, and add alerts and filters
Create IoT Edge device and custom modules
Run a console app to view critical engine alerts from the Service Bus Queue
Create Azure Function App to ingest critical engine alerts and store them in Cosmos DB
View all data in Azure Time Series Insights