Industrial operations generate massive streams of signals that must be captured, stored and accessed without delay. Traditional databases often cannot handle the volume, resolution and continuity required for modern plants. To solve this challenge, companies deploy an industrial data historian for real time operations that provides high speed data acquisition, optimized storage and consistent access to historical and live values. With this unified approach, teams can analyze trends, detect deviations and support advanced analytics across any part of their process.
At the heart of CENTO is a high-performance Historian that securely stores both real-time and historical data for long-term analysis. It’s optimized for speed and scale, capable of handling thousands of parameters per second without compromising system performance.
Engineers and analysts can access this data on demand, compare trends across time periods, and trace the root causes of equipment failures or production deviations. With this level of visibility, it’s easier to make informed decisions. And not just in the moment, but for months and years ahead.
Unlike traditional systems that lock data into silos, CENTO is designed to make information accessible across departments and roles. Maintenance teams can track equipment behavior over time, energy managers can monitor consumption trends, and executives can follow operational KPIs − all from the same platform.
Whether you’re managing a single facility or multiple sites, the data remains centralized, consistent, and easy to work with. That means fewer manual reports, fewer surprises, and a stronger foundation for cross-functional collaboration.
This approach has already proven itself in demanding environments. In the metals industry, one customer used CENTO’s Historian to track power quality fluctuations over several months, pinpointing the root cause of frequent equipment downtime.
In a mining operation, centralized data logging helped eliminate manual recordkeeping and enabled predictive maintenance strategies. These are just a few examples of how the collected and stored the right way data and its visibility can directly improve productivity and reduce operational risk.
Automated metering, monitoring and control system. Decrease in the purchased power volume. Cancelled daily scheduled rounds and reduced response time to emergencies.
Legacy systems replaced. Unified control, diagnostics, and data for 210 facilities.
Secure PQ monitoring inside isolated network. Real-time data, full internal control.
Energy metering and power quality analysis. Integrated monitoring for critical infrastructure and uptime.
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