IMI expands NEON portfolio with scalable IIoT monitoring for non-hazardous industrial applications

IMI has introduced new non-EX/IECEx-certified monitoring solutions, enabling cost-effective predictive maintenance across industrial environments.
The launch builds on its existing NEON product line, originally developed by recent acquisition TWTG and widely used in hazardous environments, including oil and gas and petrochemical applications. The expanded IMI TWTG NEON range includes sensors globally certified to operate in explosive environment up to Zone 0.
The sensors form part of IMI’s Industrial IoT offering, combining hardware with the SolidRed analytics, providing operators with a single environment for device management, analytics, asset visibility and LoRaWAN gateway infrastructure. The solution enables long range, low power communication across complex industrial sites, leveraging LoRaWAN connectivity and supporting reliable data transmission without the need for extensive cabling or network infrastructure.
While EX-certified solutions are a mandatory requirement for explosive atmospheres, many assets within petrochemical, power and industrial facilities operate outside of these zones. These have historically been less monitored due to the cost and complexity associated with certified solutions, limiting the ability of operators to implement condition monitoring at scale. This enables operators to extend predictive maintenance strategies beyond their most critical assets, improving visibility across a wider proportion of their plant.
The new non-EX NEON variants are designed to provide the same sensing capabilities, wireless connectivity and battery life as existing NEON sensors, but at a lower cost. By enabling continuous and remote monitoring, the solution also supports safer maintenance practices.
Reducing the need for manual inspections allows personnel to spend less time in potentially hazardous environments, while early fault detection enables better planning of maintenance activities, helping to avoid unplanned interventions. This is particularly relevant for large industrial sites with distributed assets, where routine manual inspections can be resource-intensive and difficult to scale efficiently.