Real-time energy consumption monitoring.
An advanced energy consumption monitoring system with IoT sensors and live dashboards. Detect anomalies instantly and prevent waste before it hits your balance sheet.
Retrospective data doesn't prevent waste.
Analysing consumption only when the monthly invoice arrives means you can't intervene in time. Compressed air circuit leaks, abnormal machine standby and absorption peaks remain invisible, generating continuous and unnecessary operating costs.
Atlas industrial IoT telemetry.
- We install current sensors (CT clamps), gas flow meters and volumetric counters on every significant load.
- Data flows in real time through edge gateways to the Atlas platform, with sampling rates up to 1 second.
- Anomaly detection algorithms identify deviations from baseline and send alerts via email, SMS or webhook.
- Customisable dashboards show consumption by department, production line or individual machine, with temporal drill-down.
What you get
Real-time dashboard
Web interface with interactive charts of consumption by energy vector, department and time slot. Accessible from desktop and mobile.
Intelligent alert system
Automatic notifications when consumption exceeds defined thresholds or when anomalies are detected against historical patterns.
Automated periodic reports
Weekly and monthly reports with energy KPIs, consumption trends, baseline comparison and estimated savings achieved.
Who it's for
- Production facilities with significant and variable energy consumption.
- Energy managers who need granular data to optimise consumption.
- Companies pursuing ISO 50001 or needing to demonstrate savings for incentives.
Immediate benefits
- 5-10% consumption reduction from real-time visibility alone (energy Hawthorne effect).
- Immediate detection of faults, leaks and anomalous consumption before they become significant costs.
- Granular data to feed carbon footprint calculations with engineering precision.
Take total control of your energy assets.
Install the Atlas IoT monitoring system and turn raw data into real-time operational insights.
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