Improve visibility of stranded assets and empower field workers with powerful tools to facilitate faster and smarter decisions while on their rounds.
Capture and annotate images, video, and audio
Edit documentation and create notes to enhance SME communication
Enable mobile learning through consistent instruction, limits, and messaging
Protect Critical Assets with Predictive Analytics
Software-based modeling of equipment using machine learning and advanced pattern recognition identifies future asset health issues and drives action to protect critical assets.
Leverage historical asset data and apply machine learning to determine normal operations
Build the models used during real-time monitoring of the asset
Online advanced pattern recognition triggers early warning alerts of equipment reliability and performance problems when asset data deviates from the models
Advanced analytical capabilities including problem identification and root cause analysis
Maximum Performance for Process Economies
Extract maximum performance benefits from existing equipment while respecting operating constraints. Connect to automation systems across sites and leverage data (real-time and historical) to analyze and build cause-and-effect relationships.
Real-time dynamic combustion optimization to reduce thermal NOx generation
Heat rate and ramp rate improvements to increase plant efficiency and flexibility
Reduced operating costs for secondary NOx reduction systems (lower reagent, utility consumption and extended catalyst life for SNCR/SCR)
Many other applications such as steam temperature control and optimized soot blowing
Enforce Standard Operating Procedures
Companies have strategic initiatives to establish and digitize business processes, policies, and procedures. A robust industrial workflow management tool provides a framework to execute and manage such initiatives.
Obtain data from multiple sources such as MES, SCADA, Historian, and Predictive Asset Analytics
Use workflows to escalate inconsistencies, coordinate reviews or additional actions based on disposition eg: lock-out/tag-out activities, normal/abnormal events
Monitoring and Diagnostics-as-a-Service
The Monitoring and Diagnostics Service Centre (MDSC) located in Chicago, Ill. is staffed with subject matter experts in the fields of industrial operations and maintenance. This value-added service enables assets to be continually monitored by our team of engineers and provides early warning alerts and diagnostic guidance to improve reliability, reduce maintenance costs, increase equipment performance, reduce capital expenditures, and lower total cost of ownership.
The MDSC provides daily, weekly, monthly, and quarterly services that enable users to get the most out of their investments. Implementation of machine learning and diagnostics technology, coupled with years of experience, our team of experts provides early warnings of equipment problems to reduce unscheduled downtime, improve reliability and control maintenance costs.
Centralized Data Management
The Enterprise Data Management with Enterprise Historian collects, stores, displays, analyses, contextualizes and reports on operational and enterprise data to achieve increased efficiency.
Bridge the information gap between IT/OT data sources including process control, operations management, and the enterprise business systems.
Cloud-Based Operator Training Simulator
The cloud simulator is designed to meet the needs of distributed learning and training of new operators in an easy and cost-effective manner. It also addresses issues involving an aging workforce.
Access from anywhere
Generic and customized models available
Supports distributed operations teams
True Software/Training as a Service
Flexible pricing and support models
Close the Performance Gap
Enhance economic results and sustainability with improved decision making, plant performance analytics, and insights. Implement innovative and predictive methods. Approximately 75 - 80% of the variation in performance is attributed to the lack of advanced decision support methods and tools. Closing the performance gap results in:
Fleet-wide performance monitoring
Codified learning processes
A shift from reactive to predictive
Actionable insights into technical consequences that impact a company’s profitability
The Schneider Electric industrial software business and AVEVA have merged to trade as AVEVA Group plc, a UK listed company. The Schneider Electric and Life Is On trademarks are owned by Schneider Electric and are being licensed to AVEVA by Schneider Electric.