SAGE – INTRODUCTION
SAGE is a unique digital platform for all your process, quality and energy consumption and emissions data, using artificial intelligence and machine learning (AI/ML) to learn, model and accurately predict outcomes — one platform that helps you understand, analyze and do root-cause analyses on a wide range of issues.
SAGE promotes supervisory corrective actions that help improve throughput, yields and overall productivity, paving the way for further plant automation.
Once the AI/ML models are matured, it suggests corrective actions to optimize multiple parameters such as quality set-points, throughput, fuel set-points.
Our AI engine analyzes a series of structured and unstructured data blocks to learn, model and deliver precise predictions on hundreds of parameters.
Our AI/ML engine predicts changes in multitude of variables based on history, model learning, operator actions and can automatically adjust operating conditions for the best metrics.
Using Advanced AI SAGE can predict breakdowns and determine their root causes without relying on static alerts.
See a plant-wide smart view and get real-time reports on every variation in every critical parameter — from process variations to quality fluctuations to machine instabilities Highlight errors and historical
The smart AI engine automatically correlates alerts based on when they happen and how the alerting entity is related to other entities, using pre-trained AI/ML models that liberate you from
PYRO AI/ML PREDICTIONS
SAGE takes multiple process and quality variables as
- Kiln Feed Rate/Production Target
- Kiln Fuel Rate/Calciner Fuel Rate
- Pre-Heater Fan/Cooler Process Parameters
- And Many More
Based on its core AI/ML suite it predicts outputs of multiple variables in advance:
- Burning Zone
Secondary Air Temperature, NOX
- Calciner Zone
Calciner Temperature, NOX Cyclone Temperatures
- Quality Zone
Rawmill / Kiln feed Targets Free Lime/liter Wt.