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Connected factory

Improve industrial efficiencies with a connected factory

The following demo is an example of how a business can leverage the power of Microsoft Azure IoT solutions to take advantage of Industrie 4.0 and cloud-enabled devices via the OPC-UA framework.

By connecting factories, simply and without disruption, manufacturers can ingest, analyse and visualise powerful operational information, including efficiency and performance data. Instead of reacting to events, they can proactively manage them – and ultimately fully automate.

With the Azure IoT solution accelerator, connected factory, the infrastructure and architecture is preconfigured, allowing businesses to get started quickly on a secure, global platform.

Global view

Factory view

Production line view

Machine view

Issue resolution

Step 1 of 4

Global overview

The global summary dashboard provides operators with an overall picture of their manufacturing business.

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Critical reporting

At a glance, operators can see the status of their facilities, including performance, efficiency and output.

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Alert logging

Critical alerts, outages or operational and efficiency anomalies are all escalated for fast resolution.

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Alert escalation

There is a critical alert at a facility in Germany, let’s take a closer look…

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Factory-level KPIs

At an individual factory level, KPIs and alerts are summarised for this particular location.

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Production details

Each production line can be individually represented, monitored and analysed. Efficiency and production output are also summarised in near real time to pinpoint a problem.

Step 3 of 3

Critical alerts

We can see that the critical alert for this facility is regarding Production Line 6, making car parts. Let’s dig deeper…

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Production line view

At this level, the specific production line is summarised, providing production data, machine run times and actual device data metrics.

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Specific machine analysis

The specific part can now be identified as having a fault or anomaly. We can see that the robotic arm on this line is where the problem is.

Step 3 of 3

Targeted alerts

There are several warnings and escalations for this site but only one that is critical. The alert for this device is to do with temperature. Let’s click through and see what might be the issue with this arm.

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Machine view

At the machine level, raw device data, performance and even predictive analytics can be displayed.

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Deep-dive analytics

Here, the actual device metrics and values can be displayed in near real time. The device-specific KPIs, run times and remaining scheduled requirements are also displayed.

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Contextual decision-making

We can see that the device should be available for us for quite some time but the dashboard predicts that we will have an unscheduled failure much sooner.

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Take action

Here, the operator can select the critical alert to take action.

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Address the issue

The alert panel provides near real time data, as well as historical information. The data visualisation clearly shows the breached threshold and the need for action before the part fails, potentially halting production.

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Business integration

A technician can be called to the site through Dynamics365 and Field Service integration. The maintenance can be scheduled at a convenient time, between shifts, to minimise impact on production schedules.