Smart Building Solution

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Presentation transcript:

Smart Building Solution Commercial spaces are undergoing transformation connecting HVAC, lighting, sensors, security and safety equipment to lower operating cost and risks What to look for Target this solution to commercial space users to maximize resource efficiency, reduce cost and risk, and increase visibility across operations Architecture Solution and reference architectures

Smart Buildings Commercial spaces are undergoing digital transformation connecting HVAC, lighting, environmental sensors, security and safety equipment to lower operating cost and risks. Key Benefits: Real-time alerts forewarn of equipment or occupancy concerns Remote monitoring automates building operations by triggering preventive maintenance actions Paper to electronic transformation enables better operational efficiencies through data analysis and forecasting

What to look for Target this solution to commercial space users to maximize resource efficiency, reduce cost and risk, and increase visibility across operations. Building mounted sensors provide a constant flow of data to Azure. Real-time data streaming analytics helps you identify events and understand usage patterns. Machine learning predictive capabilities enables the transition from reactive to proactive operations and maintenance actions. Draw upon external data sources such as weather forecasting and link to other internal systems such as Dynamics CRM.

Solution Architecture Business User A building or facility manager seeking to lower costs and maximize occupant productivity and safety Solution goal Maximize resource efficiency, reduce cost and risk, and increase visibility across building operations Solution components This solution is built on the following Azure managed services: Azure IoT Hub, Stream Analytics, Azure Cache, Data Lake, Data Warehouse, HD Insights, App Service, Notification Hub, Machine Learning, Power BI. These services run in a high availability environment, patched and supported, allowing you to focus on your solution versus the environment to run them in

Reference Architecture 1 Cloud Gateway - Manages communication between devices. This enables consumer devices to receive notifications about events or state changes. 2 IoT Hub - A fully managed service that enables reliable and secure bidirectional communications between millions of IoT devices and a solution backend. Provides reliable device-to-cloud and cloud-to-device messaging at scale 3 Stream Analytics - A fully managed, cost effective real-time event processing engine that helps to unlock data stream insights from devices, sensors, web sites, social media, applications, infrastructure systems, and more. 4 Data Lake - Store data of any size, shape, and speed, and perform all types of processing and analytics across platforms and languages. 5 Azure Cache - Distributed, in-memory, scalable solutions that enable you super-fast access to your data. 6 Machine Learning - A cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions. 7 Data Warehouse - SQL-based and highly elastic, enabling you to provision in minutes and scale capacity in seconds. 8 HDInsight - Fully-managed cloud Hadoop offering that provides optimized open source analytic clusters for Spark, Hive, MapReduce, HBase, Storm, Kafka, and R Server backed by a 99.9% SLA. 9 App Service - A PaaS that includes API and logic applications and enables application integration, on premise connections and business process automation. 10 Notification Hub - Ability for broadcasting personalized push notifications. App Service 9 10 3 5 2 4 6 1 7 8

Pricing Calculator To calculate an estimated price for this reference architecture go to the Microsoft Azure Pricing Calculator. https://azure.microsoft.com/pricing/calculator/