The challenge for many plant managers is that they capture all of this data from the machines but aren’t properly analyzing it. However, with the right strategy and analysis tools, plant managers can turn that data into a productivity gold mine. The insights that this data could produce can help plant managers reduce and prevent downtime, save on energy costs, and allow for ongoing monitoring and maintenance of plant machinery.
In the current manufacturing environment, plants that put a premium on driving efficiency – modernizing equipment and facilities to be the most productive for the least cost – will ultimately be rewarded.
The role of improved connectivity
In the past, being able to commission and troubleshoot a programmable logic controller (PLC) or programmable automation controller (PAC) program in the field required access to proprietary software along with specific operating knowledge of each software environment. This resulted in added time and staff training costs because it was critical that the right personnel with the right software be present at the controller.
Thanks to connectivity improvements and the emergence of fully networked architectures within plants, those days are over. The Industrial Internet of Things (IIoT) means that plant managers can leverage analytic tools for commissioning, diagnostic, and maintenance purposes.
Imagine a situation in which a PLC is not communicating with one of the variable-frequency drives it is controlling and a problem arises. Without additional information, the problem cannot be accurately diagnosed. The root cause could be an issue at the device level or a physical connection issue. Service personnel could be dispatched to a site just to find the problem was caused by something as simple as a disconnected cable. Remote monitoring allows for more effective and efficient diagnosis of problems and therefore speedier resolution of them.
Remote monitoring services: The business model
With manufacturers making significant efforts to cut costs and boost productivity and profitability, plant managers have begun outsourcing the monitoring and maintenance of their plant’s critical data to control equipment suppliers. By outsourcing this responsibility, plant managers are able to focus more on efficiently managing their resources, and less on actively managing their data.
The potential benefits of remote monitoring services are numerous. Firstly, the collection and analysis of operational data from plant equipment on a daily basis allows managers to focus on improving equipment's productivity. Machines' embedded diagnostic capabilities are designed to detect and report slight variations in production; this data can be used to provide early fault detection. This, in turn, can serve to limit equipment downtime and reduce maintenance costs by proactively addressing issues before they cause a plant shutdown. In addition, when analyzed appropriately, this data can provide the foresight needed for optimal maintenance planning.
Remote monitoring services that make data available also provide a crucial first level of support. Servers can be installed inside a customer’s firewall to securely send data to a remote monitoring center. There, the data can be analyzed on an ongoing basis and used to provide guidance to plant operations and maintenance.