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Case studies

Monitoring and control of flow of materials

Deployed to prevent the breakdown of components in specialized grinding machines, the NSW AI and Machine Learning solution monitors the process, preventing damage and maintaining correct viscosity of the material on the plant. Benefits include lower maintenance costs, fewer unplanned stoppages, reduced production expenses, increased productivity, and less material wastage.

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Case studies

Monitoring and control of complex HVAC systems

Addressing the challenge of maintaining steady air supply in fluctuating manufacturing demand, the NSW solution employs AI-driven monitoring and adjustments.

By analyzing real-time data, it ensures optimal air delivery, offers early warnings, and prioritizes inspections, effectively preventing disruptions and reducing operational costs.

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