To reduce the complexity of the Industrial Internet of Things solution architecture, we first broke it down into two parts. Exposed entities are uniquely identifiable.Connectivity infrastructure supports stamp-based deployment architecture.Scale the connectivity solution to enable the onboarding of additional factory plants.Successful device onboarding can be validated based on immediate feedback.Increase continuous data availability and data quality.RBAC model in place for controlling access to the solution.Gap analysis using a threat Model process including a mitigation plan.Increase security and stability of configuration changes by reducing operational risk caused by configuration changes.Shortening the commissioning of machinery.We can publish and enrich machine-generated data as messages that can be selectively subscribed/consumed by Factory Intelligence applications.
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Configuration process is automated for KepserverEX with drivers for Siemens S7, Modbus and Euromap devices.We have a proven set of steps for onboarding OPC-UA capable devices.Empower a wider community to drive the digital transformation by connecting devices as an enabler.This article has the goal of outlining the project from the connectivity point of view. We also provided a rich set of APIs used by a custom user interface to view the data and manipulate the digital representation of the machines and signals in the cloud. This part included collecting the OPC-UA based telemetry data on the edge within the plant, forwarding it to Azure for enrichment and storage. One dev crew from Microsoft worked on the connectivity part of the project for 15 months (organized into four project iterations). We started to transform their flagship factory as a lighthouse project to a digital platform to pave the way for the transformation of over 100 of their factories. Leverage maintenance intelligence to reduce the downtime of machinery.Trace parts and batches end-to-end in their lifecycle with the ability to quantify waste in their value streams and identify issues across key steps.Monitor key performance indicators of machines running on the factory floor and configure which machines should be monitored to be able to react to any issues quickly before they affect the customer, while also enabling other monitoring benefits for shop floor management.The purpose of the transformation was to improve the productivity of their plants and workers and improve the quality of the goods they produce. Previously, their factories operated with a paper-based shop floor management process where production related data was documented manually with no analysis functionality. The customer was a global technology company that supplies systems for passenger cars, commercial vehicles, and industrial technology. In 2020, Microsoft CSE was involved in the process of a Smart Factory Transformation leveraging Microsoft technology, building an Industrial Internet of Things solution for factory automation.