Presentation on theme: "Connected Maintenance Solution"— Presentation transcript:
1 Connected Maintenance Solution Drive new insights and analytics from machine mounted sensors to help you better predict maintenance need and just-in-time repair priorities.What to look forTarget this solution to companies, such as manufacturers or asset transporters, whose profitability is reliant on machine up-time.ArchitectureSolution and reference architectures
2 Connected Maintenance Lower operating and capital costs by proactive service and repair of assets, as well as more efficient use of repair resources.Key Benefits:Maximize productivity by predicting failures before they occurFocus repair resources on highest ROI prioritiesUse data insights drive R&D and future competitive advantage
3 What to look forTarget this solution to companies, such as manufacturers or asset transporters, whose profitability is reliant on machine up-time.Machine mounted sensors provide a constant flow of data to AzurePower the most complex, low-latency, data-intensive scenarios and scale them with Service FabricIngest millions of events, as well as produce analytics to help you better understand patterns or trigger an action during real-time data streaming though Stream AnalyticsCaptured data is evaluated based on expert knowledge or data from past events stored in SQL. Predictive capabilities are continuously improved using Machine Learning
4 Solution Architecture Business UserAn operations executive seeking to lower costs and maximize revenue by improving machine up-time.Solution goalDrive new insights and analytics from machine mounted sensors to help you better predict maintenance need and just-in-time repair priorities.Solution componentsThis solution is built on the following Azure managed services: Azure IoT Hub, Event Hub, Stream Analytics, Service Fabric, Microservices, DocumentDB, SQL database, 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.
5 Reference Architecture 34Customer Azure subscriptionCustomer SitesNodeNodeDevice ManagementEvent HubStream analyticsSQL17Service Fabric ClusterDevicesTagsIoT HubDocumentDBNodeNodeInvoke ServiceSQLCommands26SQL DatabaseAzure MLAnomalyDetectionMicro-servicesSQLPortal (web app)5SQL DWCustomer AADCustomer DC1Tags are sent over AMQP to IoT Hub3The packet is looked up in the device registry and forwarded onto the service layer5Data is scored using Azure ML anomaly detection algorithms7C&C is achieved through IoT Hub via service nodes2Deployed the Service Fabric4Initial anomaly detection is done in Stream Analytics6After data enrichment, it is written to a SQL Data Warehouse and a copy of the message is stored
6 Reference Architecture IoT hubA 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.Event hubA highly scalable publish-subscribe service that can ingest millions of events per second and stream them into multiple applications.Stream AnalyticsA 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.MicroservicesA software architecture style in which complex applications are composed of small, independent processes communicating with each other using language-agnostic APIs.Service Fabric ClusterService Fabric is an orchestrator of microservices across a cluster of machines.SQL StorageA relational database-as-a-service that delivers predictable performance, scalability, business continuity, data protection, and near-zero administration to cloud developers.DocumentDBMicrosoft’s multi-tenant distributed database service for managing JSON documents at Internet scale. DocumentDB indexing enables automatic indexing of documents without requiring a schema or secondary indices.Machine LearningA cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions.
7 Pricing CalculatorTo calculate an estimated price for this reference architecture, go to the Microsoft Azure Pricing Calculator.