Why this matters now

In today’s increasingly connected world of industrial manufacturing, IIoT options abound. Yet while having options is a good thing, too many options can make it difficult to identify the right technologies to meet an organization’s unique circumstances.

As Manish Sharma explores in a recent article in Control, organizations must first align their strategy before selecting technologies:

“Potential users must decide what they want to accomplish and should definitely do site audits to determine high-fidelity data availability, and what data and operations need to be augmented.”

This emphasis on upfront clarity ensures that technology deployments are guided by measurable business outcomes rather than experimentation.

Takeaway: IIoT strategies deliver the greatest value when organizations define goals and data requirements before implementation.

TL;DR

• IIoT success requires clear objectives before technology selection.
• Site audits identify data gaps and opportunities.
• Edge solutions enable reliable operation in remote environments.
• Store-and-forward capabilities ensure data continuity.
• Integrated platforms support scalability and future growth.

Linking ideas with technology

Once a team knows what it needs to accomplish and understands its data limitations, it can select the right automation solutions to successfully fill gaps.

In one example, an oil and gas producer in Egypt needed to implement an effective control system while transmitting flare-gas conservation data to support greenhouse gas regulations. However, limited access to broadband connectivity made this a significant challenge.

The organization selected an integrated solution built around the RX3i CPL410 edge controller, PACEdge software, PACSystems RSTi-EP network adapters, communication cards, digital input cards for alarm signals, and QuickPanel+ HMI to deliver both deterministic control and a containerized edge environment. The configuration, built around seamlessly integrated technologies from Emerson, provided both deterministic control and a containerized edge application environment in a single, intuitive platform.

The system also provided a key capability to navigate the challenges of limited connectivity. The CPL410 can identify intermittent connectivity issues—the kind that would be common in nearly any solution the organization would use in the region—and store data when an internet connection is unavailable. When the connection is reestablished, the system can automatically send the stored data, so the organization never faces gaps in its critical reporting. Moreover, the industrial PCs provided the ruggedized architecture necessary to provide a long lifecycle in the harsh environments of a remote oil and gas facility.

“In addition, the CPL410 provides geolocation and real-time data tagged with relevant asset information, including datasheets, install and maintenance records, and photos. This enabled a robust data trail that increases the client’s chances for successful credit verification and avoids costly onsite visits.”

This capability ensures that critical operational and regulatory data remains intact regardless of environmental constraints.

Takeaway: Integrated edge solutions ensure reliable data collection, even in low-connectivity environments, while supporting compliance and operational efficiency.

Prepared for the future

The automation selections the organization made also prepare it for an increasingly competitive future.

By running edge software directly on industrial PCs, teams can simplify IIoT application development, deployment, and management. This allows new capabilities to be added over time without requiring significant infrastructure changes.

Edge processing ensures that applications remain close to operations, reducing reliance on cloud connectivity while improving performance and resilience.

Takeaway: Edge-enabled architectures create a scalable foundation for future IIoT expansion and continuous improvement.