Azure Industrial IoT
Build open, interoperable IoT solutions that secure and modernise industrial systems for Industry 4.0 services.
Accelerate your path to Industry 4.0
Find or build IoT solutions to unite new or legacy machines and connect suppliers, customers and a distributed workforce within a global ecosystem. Azure Industrial IoT is built around the principle that new solutions and data must interoperate through industry standards and prevent vendor lock-in. Achieve results at scale through faster discovery of assets, best-in-class global support and years of security expertise built from the chip to the cloud.
Remain in control of your solution, connect brownfield equipment and prepare for the introduction of new assets or future technology. Build industrial IoT solutions that are compatible with industrial devices and systems through OPC UA standards. Contextualise data with powerful visualisations through Azure managed platform services, open-source software and open industrial data models on the edge and in the cloud.
Protect your assets with built-in security that proactively detects and stops threats before they happen. Rely on Azure Sphere, Azure Defender and the OPC Vault microservice within Azure IoT to simplify the implementation and maintenance of industrial assets, making complex connectivity and certificate management easier.
Get technical assistance, advice and support to invent and deliver industrial IoT solutions based on the domain expertise that world-class manufacturers demand. Azure partner solutions undergo rigorous and independent technical validation to ensure their capabilities meet Microsoft specifications. Partner solutions support all types of industrial IoT manufacturing interfaces that work with Azure IoT platforms. Find the right app for your business needs with AppSource.
Maximise your factory and equipment investments by maintaining support for the long term. Azure gives you consistent and predictable guidelines for the availability of support throughout the life of a product to help you plan and realise your digital transformation. Open standards, the open ecosystem of partners and commitment to open source code help extend the lifecycles of equipment and create long-term scalable architecture for innovative business models.
Turn data into insights with a consistent and comprehensive experience from the cloud to the edge. Azure AI and machine learning capabilities are based on a set of principles that include consistent application development, holistic security, unified identity, simplified device management and a robust intelligent edge portfolio and ecosystem that offers choice. Bring data, AI and machine learning together to maximise process efficiency with our edge-optimised data engine with built-in AI, time-series and analytics.
Increase equipment reliability with prescriptive maintenance
Identify potential issues before they happen with a prescriptive maintenance solution built entirely from Azure IoT products. In this demo, see how to analyse streaming data from sensors and devices, collect data over time and apply machine learning to predict and prevent equipment failures and costly downtime.
Dashboard
KPI Summary
Alerts and Warnings
Asset Details
Alert Resolution
Real time remote monitoring
Operators can see the real time location and health status of the entire infrastructure on the dashboard.
View asset location and status
Understanding asset health is critical as any lost-time incident can be extremely costly to production volumes and supply contracts.
Keep tabs on remote locations
Where a site might have been visited once every six months for routine maintenance, its status can now be tracked in real time.
Track business metrics in real time
Critical site and production data rolls up to summarise important business KPI's, tracking them against targets and thresholds throughout the day or production period. Get real time results from assets that traditionally might not be monitored for days, weeks or months.
Integrate with existing systems
Real time sensor data can be combined with information from other external sources or even other enterprise systems like CRM or ERP services.
Real time alerts and warnings
Alerts are escalated in real time for attention by the operator. Breakdowns can be responded to quickly through the custom portal or machinery shut down through commands sent from the dashboard.
Predict failures before they happen
Importantly, some alerts are predicted. Maintenance can be carried out in advance of a failure when data points to a situation or trend, that the prediction model recognises as problematic.
Resolve issues before they escalate
The operator can select the highest priority critical error that is not already being resolved or monitored.
Analyse real time data feeds
The dashboard ingests data in real time. At this level the actual production performance and health status of an individual asset can be monitored.
Empower decision makers to take action
This data allows decision makers to plan for scheduled (or unscheduled) work organise maintenance windows or predict production outputs from assets that might be in remote locations.
Conduct maintenance before an asset fails
In this example a fan has a critical predicted warning. It will fail within days and cause the asset to be shut down. It is also well within the standard service life of this part. The operator can select the specific part to take action.
Take action and resolve
The dashboard alert details provide the operator with specific information about the part and the recognised problem. This includes serial number, part number and even inventory and location of replacement items.
Analyse business impact
The predicted failure notes that the air filter fan will fail before the unit is scheduled to have routine maintenance. This will result in a lost-time shut down of the asset.
Analyse data in real time
Real time data is ingested from devices in the field and displayed in the portal. The operator can monitor the real time actual data feed to verify that the alerts and information provided is correct. The threshold for the alert is also displayed so the user can easily see the tracking in relation to normal operation.
Create service tickets
The operator can create a ticket to have maintenance staff replace the part and keep the asset operational. They also have information and data to carry out business analytics and make any changes to operations based on the outcome.
Create service tickets
The operator can create a ticket to have maintenance staff replace the part and keep the asset operational. They also have information and data to carry out business analytics and make any changes to operations based on the outcome.
Explore Azure Industrial IoT solutions and architectures
Achieve breakthrough digital transformation by building operations around a digital core that integrates systems and the entire supply chain.
Condition Monitoring
Monitors your equipment's key parameters to identify significant changes and prevent unexpected failures and production disruption.
Predictive Maintenance
Diagnoses equipment status and performance, predicts potential malfunctions and maintenance needs and utilises mixed reality and digital twins technologies to enhance service in real time.
Learn more about OPC services for Azure Industrial IoT
OPC Twin
OPC Twin provides discovery, registration and remote control of industrial devices through REST APIs. OPC Twin does not require an OPC Unified Architecture (OPC UA) SDK, is programming language agnostic and can be included in a serverless workflow.
OPC Vault
OPC Vault is a microservice that configures, registers and manages the certificate lifecycle for a OPC UA server and client applications in the cloud.
OPC Publisher
OPC Publisher is a reference implementation that demonstrates how to connect to existing OPC UA servers and publish JSON encoded telemetry data to Azure IoT Hub from OPC UA servers in OPC UA Pub/Sub format, using a JSON payload.
Learn more about Azure IoT products and services
Microsoft Defender for IoT
An end-to-end adaptive threat detection and prevention security solution for IoT workloads
Azure IoT Edge
Extend cloud intelligence and analytics by moving workloads from the cloud to the edge
Azure IoT Central
Accelerate creation of solutions and reduce the burden and cost of IoT management, operations and development
Azure IoT Hub
Managed service for bidirectional communication between IoT devices and Azure
Azure Sphere
Comprehensive security solution—including hardware, OS and cloud components
Azure Digital Twins
Next-generation IoT solutions that model the real world
Azure Stream Analytics
Serverless real-time analytics, from the cloud to the edge
Get the latest Azure Industrial IoT news and Industry 4.0 resources
IoT at work – video series
What the CEO/CTO of Attabotics wants you to know
Scott Gravelle, CEO/CTO of Attabotics, talks about building robots, the limits of imagination and what he wishes he had known before driving an endpoint IoT implementation.
What the CEO/CTO of Stanley, Black and Decker wants you to know
Sudhi Bangalore, CTO of Stanley, Black and Decker, on getting standards right up front, embracing change, the complexity of simple design and more advice he wishes he had known before implementing his Edge solution.
What the CTO of Fermax wants you to know
Francisco Sanchez, CTO of Fermax, discusses the value of hearing directly from end users, the importance of security from the outset and why the value of a SAAS model was something he wished he had considered more thoroughly before his IoT implementation.
Customers are doing great things with Azure Industrial IoT
Maersk helps customers track product deliveries
Rasmus Hald, Head of Cloud Architecture, A.P. Moller – Maersk"When topped with open source, Azure gives engineers freedom. Software developers have had enough of servers. They want to create."
Bühler Group reimagines die casting with IoT
Robert Cuny, IoT Program Manager, Bühler Group"The use of industry standards like OPC UA promotes interoperability between suppliers and enables them to work better together. It opens the door to develop solutions that drive efficiency across the entire value chain rather than a single machine."
Tetra Pak keeps food and drink flowing safely
Johan Nilsson, Vice President, Tetra Pak Services"When you have plants around the world, the service knowledge we gain from one plant comes to benefit another."
ABB delivers greater worker efficiency at lower costs
James Pierre-Noel, Senior Director Product Management, ABB Enterprise Software"In Azure, we have a rich menu of services that we can use to make our workforce management solution smarter, so field technicians are more productive."
Thyssenkrupp enhances the experience of tenants
Professor Michael Cesarz, Chief Executive Officer MULTI, thyssenkrupp Elevator"I know that Microsoft has made a tremendous investment in security and that Azure has numerous regulatory and compliance certifications. Why would we choose anyone else?"
Frequently asked questions
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The Open Manufacturing Platform (OMP) is a nonprofit alliance to help manufacturing companies accelerate IoT manufacturing innovation at scale through cross-industry collaboration and knowledge and data sharing, as well as access to new technologies.
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The Open Platform Communications Unified Architecture (OPC UA) is a global industry standard that ensures the open connectivity, interoperability, security and reliability of industrial automation devices and systems and enables manufacturers to get a head start on transforming their assets into smart factories.
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Common Data Model includes a set of standardised, extensible data schemas that Microsoft and our partners have published. This collection of predefined schemas includes entities, attributes, semantic metadata and relationships. The schemas represent commonly used concepts and activities, such as account and campaign, to simplify the creation, aggregation and analysis of data.
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ANSI/ISA-95 is the international standard for the integration of enterprise and control systems used primarily to connect industrial assets for manufacturers. The standard must define information exchange that is robust, safe and cost effective, effectively reducing the risk, cost and errors associated with implementation. The exchange mechanism must preserve the integrity of each system's information and span of control.
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