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, analyze and visualize 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.
Production Line View
The global summary dashboard provides operators with an overall picture of their manufacturing business.
At a glance, operators can see the status of their facilities, including performance, efficiency and output.
Critical alerts, outages or operational and efficiency anomalies are all escalated for fast resolution.
There is a critical alert at a facility in Germany, let’s take a closer look…
Factory Level KPI’s
At an individual factory level, KPI’s and alerts are summarized for this particular location.
Each production line can be individually represented, monitored and analyzed. Efficiency and production output is also summarized in near real-time to pinpoint a problem.
We can see the critical alert for this facility is regarding Production Line 6, making car parts. Let’s dig in deeper…
Production Line View
At this level the specific production line is summarized, providing production data, machine run times and actual device data metrics.
Specific Machine Analysis
The specific part can now be identified as having a fault or anomaly. We can see the robotic arm on this line is where the problem is.
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.
At the machine level, raw device data, performance and even predictive analytics can be displayed.
Deep Dive Analytics
Here the actual device metrics and values can be displayed in near real time. The device specific KPI’s, run times and remaining scheduled requirements are also displayed.
Contextual Decision Making
We can see that the device should be available for us for quite some time but the dashboard predicts we will have an unscheduled failure much sooner.
Here the operator can select the critical alert to take action.
Address the Issue
The alert panel provides near real time data, as well as historical information. The data visualization clearly shows the breached threshold and the need for action before the part fails, potentially halting production.
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 minimize impact on production schedules.