Industrial IoT Ecosystems Require Detailed Monitoring
The Industrial Internet of Things (IIoT) is a subset of the Internet of Things (IoT). IoT ecosystems in general generate large amounts of data that gets collected, aggregated and shared in pursuit of efficient industrial automation. The ultimate goal is to increase automation levels in order to increase business productivity. The intent behind IIoT is not to 100% replace human workers, but through more efficient processes, create new revenue streams and business models by streamlining industrial processes. In order to sustain these business processes, IIoT generates access to component telemetry data that is able to support a rich analytics environment.
But in order for this data to be collected and analyzed, there needs to be reliable, intelligent, communication paths established among machines, devices and control systems to enable timely attention to maintenance intervals and unforeseen events. This communications mechanism can span both internal networks and external ones that traverse the Internet, so it is critical to ensure that IIoT connectivity is up and running.
This is where network resource monitoring is required in order to make absolutely sure that all devices and network elements that are part of the IIoT ecosystem are, in fact, communicating without performance degradation or, even worse, suffer from network outages. Not only can industrial process efficiency be improved, but also the overall safety level of critical operations is enhanced by alleviating the risk factors found by monitoring points of failure.
Industrial environments demand process precision and can reap the benefits of implementing Industrial IoT where, without it, human error could result in massive risks. The precision level that can be achieved through the IIoT is one of the greatest advantages, yet it can be complex to troubleshoot without real-time network monitoring analytics.
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