Connecting the Future: Integration, Interoperability, and Security in Industrial Networks
Manufacturers are surrounded by data. Sensors, drives, machines, robots, and control systems continuously generate information that could improve:
- Overall equipment effectiveness
- Predictive maintenance
- Asset management
- Statistical process control
- and many more well-known use-cases…
Yet many digitalization projects struggle to deliver the expected return on investment. The problem is the amount of work required accessing and collecting that data before meaningful analysis can even begin. Furthermore, digitalization projects should be achievable to not only large enterprises, but small and medium-sized businesses as well.
A disproportionate share of a digitalization project is often spent accessing, preparing, contextualizing, and sanitizing data. Teams must connect devices, interpret proprietary formats, reconcile inconsistent units, identify assets, and determine what individual data points actually mean. By the time usable information reaches an analytics platform, much of the project’s budget and momentum may already be consumed.
This creates an unfavorable value equation. If most of the investment goes toward preparing data rather than extracting value from it, even a technically successful project can produce a difficult business case.
At PI, we believe the answer begins by reducing complexity at its source.
Integration
The first part of this approach is improving the physical path to industrial data. Today, technologies such as IO-Link bring low-cost bi-directional digital communication directly to sensors and actuators, making process values, parameters, and diagnostics more readily accessible. Single-Pair Ethernet, or SPE, extends Ethernet connectivity with simpler cabling and power options for a broad range of industrial applications. Ethernet-APL applies similar principles to process automation, including long cable runs, two-wire power and communication, and intrinsic safety for hazardous environments. Together, these technologies help remove the physical barriers that have historically kept valuable data trapped at the field level.
Connectivity alone, however, is not enough. Data must also carry consistent meaning.
Interoperability
That is why the second part of the strategy focuses on standardized information models, application profiles, and companion specifications. These models define common structures, units, scaling, diagnostics, and asset information so that data can be interpreted consistently across vendors and systems. Whether information is accessed through a PLC, an edge gateway, or directly from a device, it should look and behave the same to the application consuming it. In simple terms, communication technologies provide the “how,” while companion specifications provide the “what.”
Security
Security must remain integral to both layers. As industrial networks converge and field data becomes more accessible, protection cannot be added as an afterthought. PI’s scalable security approach addresses secure cells, controlled access, protected real-time communication, authentication, integrity, role-based access, and optional confidentiality according to operational requirements.
The goal is not simply to collect more data. It is to make trusted, contextualized, and secure data easier to reach and immediately useful. When less effort is spent preparing information, more effort can be directed toward analysis, optimization, and measurable operational improvement. That is how digitalization moves from an integration exercise to a repeatable source of business value.
Michael Bowne