![]() ![]() Step 3 - Create a deployment, service, and ingress resource. Now that the DNS has been setup we can move on to the deployment, service, and ingress > resources. It then leverages the trained models to detect abnormal operations and anomalies in modeled Azure Digital Twins environments, in near real-time.Together with a non-exclusive ingress and egress easment over, across, through and for use of building and maintaining roads. ![]() The Azure Digital Twins Multivariate Anomaly Detection Toolkit is a sample project that provides a workflow for training multiple Multivariate Anomaly Detector models for several scenario analyses, based on historical digital twin data. Integrate with the Azure AI and Cognitive Services Multivariate Anomaly Detector, to quickly connect your Azure Digital Twins data with a downstream AI/machine learning solution that specializes in anomaly detection.For an example that illustrates how a company might combine this data, see the following blog post: Integrating IT and OT Data with Azure Digital Twins, Azure Data Explorer, and Azure Synapse. Combine information technology (IT) data from ERP or CRM systems (like Dynamics 365, SAP, or Salesforce) with operational technology (OT) data from IoT devices and production management systems.You can also use data history in combination with Azure Synapse Analytics to aggregate data from disparate sources. Once the data has been historized, you can query this data in Azure Data Explorer using the Azure Digital Twins query plugin for Azure Data Explorer. The data history connection requires an event hub, but doesn't require an explicit endpoint. To send twin data to Azure Data Explorer, set up a data history connection that automatically historizes digital twin property updates from your Azure Digital Twins instance to an Azure Data Explorer cluster. For detailed instructions on how to send Azure Digital Twins data to Time Series Insights, see Integrate with Time Series Insights. For more information about Azure Digital Twins endpoints, see Endpoints and event routes.įor detailed instructions on how to send Azure Digital Twins data to Azure Maps, see Use Azure Digital Twins to update an Azure Maps indoor map. The endpoint is attached to an Azure Digital Twins instance using management APIs or the Azure portal, and can carry data along from the instance to other listening services. To send Azure Digital Twins data to most Azure services, such as Azure Maps, Time Series Insights, or Azure Storage, start by attaching the destination service to an endpoint.Įndpoints can be instances of any of these Azure services: The rest of this section describes these capabilities in more detail.Īzure Digital Twins implements at least once delivery for data emitted to egress services. If your destination is Azure Data Explorer, you can use data history instead to automatically send twin property updates to an Azure Data Explorer cluster, where they are stored as historical data and can be queried as such. You may want to send Azure Digital Twins data to other downstream services for storage or additional processing.ĭigital twin data can be sent to most Azure services using endpoints. ![]() For more information about connectors, see Connectors overview. You can also integrate Azure Digital Twins into a Microsoft Power Platform or Azure Logic Apps flow, using the Azure Digital Twins Power Platform connector. Learn more about this pattern in Ingest telemetry from IoT Hub, or try it out yourself in the Azure Digital Twins Connect an end-to-end solution. To ingest data from any source into Azure Digital Twins, you can use an Azure function. This functionality gives you full access to all of the device management capabilities of IoT Hub. You can use an existing IoT Hub you currently have in production, or deploy a new one to be used for this purpose. Instead of having a built-in IoT Hub behind the scenes, Azure Digital Twins allows you to "bring your own" IoT Hub to use with the service. ![]() This kind of data flow allows you to collect telemetry from physical devices in your environment, and process this data using the Azure Digital Twins graph in the cloud. Data ingressĪzure Digital Twins can be driven with data and events from any service- IoT Hub, Logic Apps, your own custom service, and more. This article covers data ingress and egress for Azure Digital Twins and Azure services that can be used to take advantage of it.Īzure Digital Twins can receive data from upstream services such as IoT Hub or Logic Apps, which are used to deliver telemetry and notifications.Īzure Digital Twins can also use event routes to send data to downstream services, such as Azure Maps and Time Series Insights, for storage, workflow integration, analytics, and more. Azure Digital Twins is typically used together with other services to create flexible, connected solutions that use your data in different kinds of ways. ![]()
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