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    Emerson edge ecosystem and DeltaV Live: operations intelligence lens for mines

    April 21, 2026|

    Reviewed by Joe Ashwell

    Emerson edge ecosystem and DeltaV Live: operations intelligence lens for mines

    First reported on International Mining – News

    30 Second Briefing

    Emerson has released DeltaV Live Enterprise View, a browser-based application that extends DeltaV™ distributed control system visualisation securely from the control room to any authorised device on the industrial edge. The software provides real-time operations intelligence to engineering, maintenance, reliability and management teams, integrating with Emerson’s wider edge ecosystem for process control and asset monitoring. For mines running dispersed processing plants and remote infrastructure, this enables site-wide situational awareness without duplicating SCADA screens or exposing core control networks.

    Technical Brief

    • Wider adoption of browser-based OT visualisation is pushing safety management towards centralised, cyber-hardened architectures rather than site-specific SCADA silos.

    Our Take

    Emerson’s push around DeltaV™ Live Enterprise View follows its recent upgrades to the AspenTech Aspen Mtell® platform, signalling a coordinated strategy to tie control systems, asset performance management and real-time operations intelligence into a single data environment for processing and mining clients.

    Within our 39 Software stories, Emerson appears repeatedly in connection with AI-driven monitoring and visualisation, suggesting that operators adopting this edge ecosystem are likely positioning themselves for predictive safety and maintenance workflows rather than just incremental HMI upgrades.

    For safety‑tagged projects, an edge‑centric architecture from Emerson can reduce reliance on backhaul bandwidth at remote mine sites, which is particularly relevant where existing networks struggle to support high‑frequency condition and process data streams.

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    Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.

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