Servomex releases Oxy 1810 digital oxygen analyzer

Servomex has launched the SERVOTOUGH Oxy 1810, a digital oxygen (O₂) analyzer purpose-built for non-hazardous (safe area) applications. This innovation offers high-performance paramagnetic measurement and seamless digital integration, empowering industrial customers to streamline set-ups, optimize processes, and enhance safety with ease.

The Oxy 1810 offers versatile installation options, customizable settings, and seamless integration into existing systems. Its innovative, rugged design and digital connectivity deliver reliable and highly accurate data in all safe areas.

The analyzer is IP66 rated and designed to be wall-mounted, allowing it to be placed internally or externally on plants or site processes without requiring racking or large shelters.

Luke Purdie, product manager, Servomex said, “The Oxy 1810 is designed to work the way our customers need it to work. From the placement of the analyzer to the detection levels and remote access through integrations. It seamlessly fits into their processes, helping them work better and stay in control of their important applications”.

Users will be able to get data at a glance from the digital screen and status LEDs, enabling faster responses to ensure smoother processes no matter the application.

Once installed, users can maintain control by accessing data remotely and easily analyzing information through digital communication. The Oxy 1810 integrates with existing digital systems, offering remote diagnostics, real-time monitoring, and automation using Modbus, all of which increase uptime and reduce maintenance costs due to the non-depleting paramagnetic technology used to analyze the gas sample.

These analyzers can be adapted to various uses and needs with optional features, including high flow rate bypass, flow alarm, pressure compensation, auto validation, and auto calibration.

Users can monitor O₂ levels from 0-1 and 0-100% with high precision <±50 ppm detection limit without needing multiple sensors, providing confidence in data.

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