TargetSuite

TargetSuite is an AI-powered Real-Time Optimizer that adapts MPC targets to changing conditions, ensuring peak efficiency, quality, and energy savings with minimal operator intervention.

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Technology

TargetSuite RTO: AI-Driven Target Adaptation for Dynamic Process Optimization

TargetSuite RTO employs advanced Machine Learning (ML) and AI-driven analytics to enable real-time target adaptation for process industries. The system ensures controllers continuously adjust to changing process dynamics, optimizing primary and secondary variables to sustain peak performance.

Inference Variables Acquisition

Captures 6 months of key cement process data, focusing on burning zone metrics.

Data Preprocessing & Normalization

Uses filtering, denoising, and normalization to prepare clean data for precise model training.

Dimensionality Reduction & Feature Extraction

To eliminate redundancy, improve efficiency, and extract key features.

Machine Learning-Based Optimization

Uses AI/ML to learn from data and dynamically predict optimal operating setpoints.

Real-Time Target Adaptation

Dynamically tunes control targets to align current operations with optimal conditions.

User Interface

TargetSuite UI: AI-Driven Insights for Intelligent Process Oversight

The TargetSuite User Interface (UI) is a seamlessly integrated AI bolt-on to ProcessSuite, designed for intuitive operator oversight and real-time decision support. Easily accessible from the ProcessSuite UI, it provides a structured and process-specific visualization for units like a cement mill, ensuring clarity in monitoring and control.

Key features of TargetSuite UI include:

Live KPI Monitoring

Continuously compares current operational KPIs against the latest optimized best operating region.

Normalized Performance Matrics

Displays equivalent production-normalized KPIs, enabling accurate benchmarking.

Real-Time Target Dispatching

Highlights current controller targets vs. AI-recommended targets to bridge the performance gap.

Automated Target Dispatching

Automated target dispatch ensures adaptive optimization by sending recommendations directly to controllers with minimal manual input.

With TargetSuite UI, operators gain actionable AI-driven insights, enabling smarter, data-backed decisions for sustained efficiency, stability, and autonomous operations.

Benefits

Self-learning AI models continuously improve target recommendations.

Dynamic adaptation ensures sustained process efficiency and stability.

Seamless APC integration enhances existing control systems.

Reduced operator dependence, pushing the plant toward autonomous optimization.

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