What Modernization Really Means For Industrial Automation

Industrial automation modernization is less about replacing old technology and more about ensuring systems can support evolving operational, visibility and connectivity requirements.

Key Highlights

  • Modernization should start with operational goals such as reliability, maintainability, visibility or integration, not technology selection.
  • Many projects focus on integrating existing and new systems, preserving valuable control logic while improving connectivity and data access.
  • Cybersecurity, maintainability and standardized architectures are becoming as important as control functionality in modern automation environments.

Industrial facilities rarely get the luxury of starting over. Control systems evolve over years or decades as equipment is added, processes change, production requirements grow, and new technologies become available. The result is often an automation environment made up of different generations of PLCs, instrumentation, communications, software, and equipment from multiple manufacturers.

At the same time, expectations for those systems continue to change. Operations teams want better visibility into what is happening across a facility. Maintenance teams need better information for troubleshooting. Organizations want access to data that historically remained inside individual machines or control systems. Increased connectivity also introduces new considerations for network architecture, remote access, and cybersecurity.

That tension between existing infrastructure and changing operational requirements is driving much of today's automation modernization. But modernization does not necessarily mean replacing everything that is old. In many cases, the more important question is whether the existing automation environment can continue to support what the operation needs it to do.

Start with the operational problem

It can be tempting to begin a modernization discussion with technology. 

  • Which PLC platform should replace the existing one?
  • Is it time for a new SCADA system?
  • Should more equipment be connected to the network?
  • What data should be sent to an MES or other business system?

Those questions matter, but they should come later. A modernization plan should begin by defining the operational problem. Is the goal to improve reliability? Reduce obsolescence risk? Make the system easier to maintain? Give operators better visibility? Collect information that is not currently available? Connect equipment that operates independently? Improve remote access? Support production or quality requirements that did not exist when the system was originally designed? Once the problem is understood, it becomes easier to determine what actually needs to change. That distinction matters because the right modernization strategy may involve replacing a control platform, but it may also involve improving instrumentation, communications, software, network architecture, or the way existing systems exchange information.

Aging does not automatically mean obsolete

Age alone is not necessarily a reason to replace a control system. A better assessment considers whether the system can still be supported, whether replacement components and technical expertise remain available, whether aging equipment is creating operational risk, and whether the existing architecture prevents the organization from doing something it now needs to do.

When replacement is necessary, modernization also involves more than swapping one PLC for another. During a controls modernization project for a Southern California water utility, several remote sites were operating different generations of control hardware. Some of the legacy PLC applications needed to be migrated and rewritten on a modern platform as part of a broader effort to standardize the controls environment.

The existing programs were not simply old files that could be discarded. They represented how the physical processes operated. Migrating those applications required understanding the existing functionality, determining what still needed to be preserved, recreating that functionality on the new platform, and integrating the new applications into the larger control architecture. That principle applies well beyond water infrastructure. A production line, process system, test stand, furnace, or other piece of industrial equipment may have years of operational knowledge embedded in its control logic.

Modernization should preserve what still provides value while addressing the limitations that are creating risk or preventing the operation from moving forward.

Modernization increasingly means integration

Not every modernization project begins with old equipment. Sometimes the challenge is introducing new equipment into an established automation environment. Packaged equipment commonly arrives with its own PLC, programming, instrumentation, and local controls. Those systems may perform their intended functions perfectly well on their own. But connecting several PLCs to the same network does not necessarily create an integrated control system.

On a Southern California water treatment project, three vendor-packaged process systems each arrived with their own controls and defined functionality. The challenge was not to replace those individual control systems. It was to create a plant-level architecture that allowed them to exchange information, coordinate operation, manage alarms, and communicate with the facility's existing supervisory system. The individual packages retained the functionality they were designed to perform while becoming part of the larger operating environment.

The same challenge exists throughout industrial operations. New production equipment may need to exchange information with an existing line. A specialized machine may need to report production or process information to a supervisory system. Equipment from several manufacturers may use different programming approaches, naming conventions, alarm structures, or methods of organizing data. Modernization in these environments is often less about making every piece of equipment identical and more about creating a consistent architecture around them.

Visibility is becoming as important as control

Industrial automation has traditionally focused on controlling the process. Increasingly, organizations also expect those systems to provide useful information about what the process is doing. What that means depends on the operation.

  • For a water utility, visibility may mean knowing the status of a remote pump station or treatment process miles away. 
  • In a manufacturing facility, it may mean understanding equipment status, production performance, alarms, or downtime. 
  • In an aerospace operation, it may mean gaining better visibility into a specialized manufacturing or test process.

The application changes, but the underlying question is the same: What information does the operation need that the existing automation environment cannot readily provide? That question can lead to very different modernization decisions.

In some applications, better visibility may come from improving instrumentation or adding measurements that do not currently exist. In others, the information is already available inside a PLC but is not being presented to operators or collected for analysis. Other facilities may need to bring information from multiple machines or processes into a common supervisory environment. Remote monitoring, SCADA, HMI, data acquisition, historians, OEE, and MES can all play a role, but the technology should follow the information requirement rather than define it. The goal is not simply to collect more data. It is to make the right information available to the people who can use it.

Greater connectivity creates opportunities to improve visibility, remote support, troubleshooting, and information sharing. It also changes how industrial organizations need to think about the architecture supporting those connections. Systems that were once largely isolated may now communicate with supervisory platforms, remote users, other production systems, or business applications. Each new connection introduces decisions about how information should move, who should have access, and how the operational technology environment should be protected. Cybersecurity therefore becomes part of the modernization conversation, alongside reliability, maintainability, communications, and system performance.

Connectivity can provide significant operational value, but it should be intentional. The objective is not to connect everything simply because it can be connected. It is to determine where connectivity provides operational value and then design the architecture appropriately around that requirement.

A modernization project does not end at startup. Once commissioning is complete, operators and maintenance personnel inherit the system. They need to understand what is happening, respond to alarms, troubleshoot problems, maintain equipment, and eventually modify the system as operational requirements continue to change. That makes maintainability an important part of modernization. Standardization can help. 

On the Southern California water utility project, moving remote sites toward a common controls platform reduced the number of different systems operations and maintenance personnel needed to support and provided a more consistent foundation for future troubleshooting and modifications. But standardization does not always mean using identical hardware everywhere.

On the multi-vendor treatment project, the individual packaged systems retained their own controls. Standardization occurred at another level through consistent data exchange, alarm management, and presentation within the larger control environment.

Both approaches solve a similar long-term problem: making an increasingly complex automation environment more understandable and maintainable for the people responsible for operating it. Documentation, software configuration management, backups, training, and consistent programming practices all become part of that same conversation. The question is not only whether the system will work when the modernization project is complete. It is whether the organization will be able to support it years afterward.

The future of industrial automation is not simply newer hardware or more connected systems. It is making better use of the information generated by industrial processes and building control architectures that can continue to evolve as operational requirements change. For one facility, modernization may mean migrating an obsolete PLC before support becomes a problem. For another, it may mean integrating a new piece of equipment without replacing controls that still perform their intended function. Somewhere else, the priority may be better instrumentation, remote visibility, a modern supervisory platform, stronger network architecture, or access to production information that has historically remained isolated.

There is no single modernization roadmap that applies to every industrial operation. The right path starts with understanding the process, identifying what the existing automation environment can and cannot support, and defining what the operation needs to accomplish next. Only then does the technology decision begin.

About the Author

Jeff Sanders

George T. Hall

Jeff Sanders is senior system integration manager at George T. Hall Company, a certified member of the Control System Integrators Association (CSIA).

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