This webinar explores how LNG terminal operators can eliminate operational data blind spots by modernizing connectivity and industrial data infrastructure. Experts from Celona, Digi, and Autosol discuss how combining Private 5G with MQTT based data architectures enables secure, reliable data collection from distributed industrial systems. The session highlights how modern wireless connectivity allows organizations to unlock operational data, improve visibility across critical infrastructure, and support real time monitoring and automation in complex terminal environments.

• Global LNG demand is driving rapid expansion of both new terminals and upgrades to existing (brownfield) facilities, increasing the need for better operational visibility and digital infrastructure.
• Traditional architectures create data blind spots because many LNG sites rely on wired networks and legacy SCADA polling, which are slow, expensive to expand, and difficult to deploy in hazardous or remote areas.
• Private 5G enables site-wide wireless coverage, allowing operators to connect sensors, cameras, worker devices, and mobile assets across the facility without extensive cabling.
• Edge computing and MQTT improve data collection and efficiency by polling devices close to the asset, normalizing data from different vendors, and sending high-resolution information upstream using report-by-exception models.
• Combining connectivity, edge processing, and protocol normalization creates a modern data architecture, illustrated in the webinar by the Digi (industrial infrastructure), Celona (private 5G), and Autosol (edge data and protocol conversion) solution stack.
• Brownfield facilities benefit the most, since wireless overlays allow operators to add new monitoring capabilities without redesigning existing infrastructure.
• Safety improvements are a major driver, with connected gas detectors, worker location tracking, smart cameras, and real-time alerts enabling more proactive safety management.
• “Camera as a sensor” is an emerging use case, supporting applications like leak detection, thermal monitoring, and PPE compliance through edge analytics.
• Higher-resolution, contextualized data enables operational optimization, predictive maintenance, and better visibility into equipment and process performance.
• Custody transfer systems—described as the “cash register” of LNG operations—require deterministic, low-latency networks, because data accuracy directly affects revenue and settlement.
• AI and digital-twin initiatives depend on reliable data foundations, meaning operators must first invest in strong connectivity, standardized data models, and scalable infrastructure.
• Overall message: LNG operators should start with the business outcome they want (safety, efficiency, production gains) and build the communications and data architecture—private wireless, edge computing, and standardized data pipelines—needed to support it.