Azure Industrial IoT

Build open, interoperable IoT solutions that secure and modernize 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. Contextualize data with powerful visualizations 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.

Maximize 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 realize 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 maximize process efficiency with our edge-optimized 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 analyze 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

Step 1 of 3

Real time remote monitoring

Operators can see the real time location and health status of the entire infrastructure on the dashboard.

Step 2 of 3

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.

Step 3 of 3

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.

Step 1 of 2

Track business metrics in real time

Critical site and production data rolls up to summarize 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

Step 2 of 2

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.

Step 1 of 3

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.

Step 2 of 3

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 recognizes as problematic.

Step 3 of 3

Resolve issues before they escalate

The operator can select the highest priority critical error that isn't already being resolved or monitored.

Step 1 of 3

Analyze 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.

Step 2 of 3

Empower decision makers to take action

This data allows decision makers to plan for scheduled (or unscheduled) work, organize maintenance windows or predict production outputs from assets that might be in remote locations.

Step 3 of 3

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.

Step 1 of 5

Take action and resolve

The dashboard alert details provide the operator with specific information about the part and the recognized problem. This includes serial number, part number and even inventory and location of replacement items.

Step 2 of 5

Analyze 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.

Step 3 of 5

Analyze 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.

Step 4 of 5

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.

Step 5 of 5

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

Condition Monitoring

Monitors your equipment's key parameters to identify significant changes and prevent unexpected failures and production disruption.

Predictive Maintenance

Predictive Maintenance

Diagnoses equipment status and performance, predicts potential malfunctions and maintenance needs, and utilizes 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

Azure 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 Time Series Insights

An analytics, storage, and visualization service for time-series data from IoT sources

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

Customers are doing great things with Azure Industrial IoT

Maersk helps customers track product deliveries

"When topped with open source, Azure gives engineers freedom. Software developers have had enough of servers. They want to create."

Rasmus Hald, Head of Cloud Architecture, A.P. Moller – Maersk
Maersk

Bühler Group reimagines die casting with IoT

"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."

Robert Cuny, IoT Program Manager, Bühler Group
Buhler

Tetra Pak keeps food and drink flowing safely

"When you have plants around the world, the service knowledge we gain from one plant comes to benefit another."

Johan Nilsson, Vice President, Tetra Pak Services
Tetra Pak

ABB delivers greater worker efficiency at lower costs

"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."

James Pierre-Noel, Senior Director Product Management, ABB Enterprise Software
ABB Group

Thyssenkrupp enhances the experience of tenants

"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?"

Professor Michael Cesarz, Chief Executive Officer MULTI, thyssenkrupp Elevator
ThyssenKrupp

Frequently asked questions

  • 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.

    Read the latest news

  • 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.

    Learn more

  • Common Data Model includes a set of standardized, 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.

    Learn more

  • 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.

    Learn more

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