Problem Statement
Customer intends to deploy an AI& ML platform with IOT capabilities to provide analytics Business Solutions with a holistic view of Business and Process Data across the enterprise through advanced analytic and reporting technologies.
These include quality-centric modeling, predictive asset monitoring, automatic monitoring, and alerts as well as advanced analysis of processes, best-practice workflows feature, and web-based dashboards and reports.
Advance analytics and data discovery platform solution will offer valuable insights to operation, quality, maintenance, and other business functions.
Value Proposition
- Condition Monitoring for Rotary Assets
- Streaming prediction and forecasting of IoT sensor degradation and mean time to failure analysis.
- All Refinery assets Survival Simulation Model & Asset Deuteriation Model
- Asset Health Score Card Model
- All Refinery Department’s KPI Monitoring Dashboards
Solution Strategy
IoT Streaming Data Management
- •Data Integration of IoT and Wireless sensor tags across various Sites
- •Historian Database Integration via OPC & Modbus Protocol
Asset Performance Optimization
- •Real-Time Vibration Analysis
- •Asset Performance Model
- •Preventive & Predictive Asset Maintenance
Command Control Center
- •KPI Monitoring Dashboards for all Refinery Departments like-
- •Maintenance, Operations, Finance, Technical, HSE, Quality, etc.
