PRiSM Predictive Asset Analytics

Early warning notification and diagnosis of equipment issues
Published by AVEVA Group PLC

Overview

Reduce downtime with predictive analytics

Improving reliability, performance, and safety are among the top priorities for industrial organisations and businesses today. They are focusing efforts and resources on controlling costs and maximising value from existing investments. PRiSM Predictive Asset Analytics helps organisations gain the highest return on critical assets by supporting predictive maintenance (PdM) programs.

PRiSM provides early warning notification and diagnosis of equipment issues days, weeks or months before failure. This helps asset-intensive organisations reduce equipment downtime, increase reliability, and improve performance while reducing operations and maintenance expenditures.

The solution integrates with a wide variety of control and monitoring systems and can be deployed on-premise or in the cloud. The system is highly scalable and can be used to monitor a single asset, plant or hundreds of remote assets across multiple sites.

PRiSM Predictive Asset Analytics

Dashboard

Predictive Asset Analytics integrates with existing data historian systems

Predictive Asset Analytics makes it easy to identify anomalies

Benefits

Reduce Costs
100s of millions saved in early warning catches, 30% reduction in maintenance costs, 25% improvement in workforce efficiency and 25% reduction in unplanned downtime.