MConnected Unveils Neuromorphic Thermal Monitoring Breakthrough for Oil & Gas Predictive Maintenance
Revolutionary AI-powered infrared system delivers real-time anomaly detection, reduces downtime, and enhances safety across critical energy infrastructure
MConnected Ltd, in collaboration with two UK, Academic Centres of Excellence, have announced a major advancement in predictive maintenance technology with the development of a neuromorphic, AI-driven thermal monitoring system designed to transform asset reliability in the Oil & Gas sector.
This next-generation solution combines infrared (IR) sensing with neuromorphic AI to deliver real-time detection of thermal anomalies across critical infrastructure — enabling operators to identify faults before they escalate into costly failures or safety incidents.
Solving a Critical Industry Problem;
Oil & Gas operations depend on complex, high-value assets operating in harsh and often hazardous environments. Traditional monitoring systems — including point sensors and conventional thermal cameras — are limited by:
Poor performance in low visibility (smoke, fog, darkness).
High power consumption and data overload.
Delayed detection of emerging faults.
MConnected’s innovation directly addresses these limitations with a wide-area, non-contact thermal “vision” system-capable of continuous monitoring in extreme conditions.
Breakthrough Technology: Neuromorphic Thermal Intelligence
At the core of the system is a brain-inspired computing architecture that processes thermal data at the edge using:
Spiking Neural Networks (SNNs); for real-time pattern recognition
Zeroing Neural Networks (ZNNs); for continuous optimisation and noise reduction
Event-driven infrared sensing; to drastically reduce data volume and power consumption
Unlike traditional frame-based thermal imaging, the system converts heat variations into sparse, event-based signals, enabling faster detection, lower bandwidth usage, and significantly improved efficiency.
Impact for Oil & Gas Operators;
This technology is purpose-built for high-risk, asset-intensive environments such as:
Offshore platforms
Refineries and processing plants
Pipelines and compressor stations
LNG facilities
Key Benefits;
Up to 20% reduction in downtime; through early fault detection.
30–40% maintenance cost savings; versus reactive approaches.
3–5x ROI within 24 months; from prevented failures and energy optimisation.
Enhanced safety; via non-contact monitoring of hazardous equipment.
Extended asset lifespan; through condition-based maintenance.
These capabilities enable a shift from reactive maintenance to fully predictive, data-driven operations — a critical step in improving operational resilience and profitability.
Built for Edge, Built for Scale;
The system’s low-power, modular IR design allows deployment across distributed Oil & Gas assets, including remote or energy-constrained environments.
Key features include:
Edge-based processing with minimal latency
Seamless integration with existing IoT and asset intelligence platforms
Scalable architecture for enterprise-wide deployment
This makes it particularly suited for digitally transforming legacy infrastructure without major system overhauls.
Commercial Roadmap and Industry Engagement;
MConnected is currently progressing from early-stage prototype (TRL 4–6) toward industry pilot deployments, with plans for:
20–30 pilot programmes within 2–3 years.
Expansion across energy, defence, space, and infrastructure verticals.
Scaled deployment exceeding 200 installations within five years.
The company is actively seeking Oil & Gas partners for Proof of Concept (PoC) programmes starting Q3 2026, focused on solving real-world operational challenges.
Executive Commentary;
Peter G Johnson, CEO, MConnected Ltd:
“Oil & Gas operators are under increasing pressure to reduce downtime, improve safety, and optimise costs. Our neuromorphic thermal monitoring system delivers a step change — enabling real-time, intelligent insight at the edge, where it matters most.”
